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2023 Proceedings of the 40th ISARC, Chennai, India

Front matter and table of contents

Borja García de Soto, Vicente Gonzalez-Moret and Ioannis Brilakis

Abstract: The International Association for Automation and Robotics in Construction (IAARC) and the local organizing committee are pleased to present the Proceedings of the 40th International Symposium on Automation and Robotics in Construction (ISARC 2023) held on July 5-7, 2023, at IIT Madras, Chennai, India. The 40th ISARC was proudly hosted ...

Keywords: No keywords

Automated Progress Monitoring in Modular Construction Factories Using Computer Vision and Building Information Modeling

Roshan Panahi , Joseph Louis , Ankur Podder , Shanti Pless , Colby Swanson , Melika Jafari
Pages 1-8

Abstract: Modular construction methods have recently gained interest due to the advantages offered in terms of safety, quality, and productivity for projects. In this method, a significant portion of the construction is performed off-site in factories where modular components are built in different workstations, assembled on the production line, and shipped ...

Keywords: Modular Construction, Computer Vision, Building Information Modeling
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BIM-based construction quality assessment using Graph Neural Networks

Navid Kayhani , Brenda McCabe , Bharath Sankaran
Pages 9-16

Abstract: Automated construction quality control and as-built verification often involve comparing 3D point clouds captured on-site with as-designed Building Information Models (ad-BIM) at the individual element level. However, signal noise and occlusions, common in data captured from cluttered job sites, can negatively affect the performance of these methods that overlook the ...

Keywords: GNN, Quality Control, BIM, Semantic Enrichment, Point Cloud, Machine Learning
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Discrete Event Simulation Based Approach for Tracking Performance of Segmental Production at Precast Yard

Ashutosh Kumar Rai , Varun Kumar Reja , Koshy Varghese
Pages 17-24

Abstract: Efficient performance tracking and monitoring systems can facilitate timely decision-making by management. However, cycle time, which is commonly employed as a monitoring system in segmental production sites, can be time-consuming and only allows for the identification of inefficiencies, rather than supporting decision-making. In this context, operational management concepts with broad ...

Keywords: Productivity, Production, Superstructure, Operational Management, ExtendSim, Simulation, Performance Measurement, Segmental Construction, Process Analysis, Modelling, Precast yard
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Reducing Uncertainty in Multi-Robot Construction through Perception Modelling and Adaptive Fabrication

Daniel Ruan, Wes Mcgee, Arash Adel
Pages 25-31

Abstract: One of the significant challenges for robotic construction with dimensional lumber and other construction materials is the accumulation of material imperfections and manufacturing inaccuracies, resulting in significant deviations between the as-built structure and its digital twin. This paper presents and evaluates methods for addressing these challenges to enable a multi-robot ...

Keywords: Robotic Assembly, Adaptive Fabrication, Perception, Timber Structures, Multi-Robot Construction, Construction Robotics
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Identifying key parameters for BIM-based disassembly planning

Benjamin Sanchez , Pieter Herthogs , Rudi Stouffs
Pages 32-39

Abstract: Reuse of building systems and components has the potential of taking full advantage of the residual utility of building materials. In this matter, disassembly planning plays a critical role for retrieving reusable components in an optimized way. Unfortunately, the implementation of disassembly planning for buildings, at a component level, is ...

Keywords: Building Information Modeling, Disassembly planning, Building components reuse, Building disassembly model
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Building insulation renovation: a process and a software to assist panel layout design, a part of the ISOBIM project.

Michel Pierre Aldanondo , Julien Lesbegueries , Andrea Christophe , Elise Vareilles , Xavier Lorca
Pages 40-47

Abstract: In order to lower the huge carbon dioxide emissions due to building heating, the goal of this communication is to show how the design of insulation panel layout can be strongly computer-aided during façade building energy renovation projects. The work has been achieved during an applied collaborative research project (ISOBIM), whose ...

Keywords: Building insulation renovation, Panel layout design, Aiding design system, Constraint-based problem
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Automatic point Cloud Building Envelope Segmentation (Auto-CuBES) using Machine Learning

Bryan P. Maldonado, Nolan W. Hayes, Diana Hun
Pages 48-55

Abstract: Modern retrofit construction practices use 3D point cloud data of the building envelope to obtain the as-built dimensions. However, manual segmentation by a trained professional is required to identify and measure window openings, door openings, and other architectural features, making the use of 3D point clouds labor-intensive. In this study, ...

Keywords: point cloud, segmentation, unsupervised learning
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Contribution of Dual-tree Complex Wavelet to Three-dimensional Analysis of Pavement Surfaces

Kazuya Tomiyama , Yuki Yamaguchi , Kazushi Moriishi
Pages 56-62

Abstract: Pavement industries in Japan enhance the application of three-dimensional (3D) modeling as a part of the policy called "i-Construction" which applies 3D point cloud data to pavement works. However, distinctive approaches in terms of signal processing are required in practical applications of 3D point clouds to pavement surfaces. An effective ...

Keywords: Dual-tree complex wavelet, Point cloud, Pavement surface, ICT, i-Construction
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How Can ChatGPT Help in Automated Building Code Compliance Checking?

Jiansong Zhang
Pages 63-70

Abstract: One main challenge in the full automation of building code compliance checking is in the extraction and transformation of building code requirements into computable representations. Semantic rule-based approach has been taken mainly due to its expected better performance than machine learning-based approach on this particular task. With the recent advancement ...

Keywords: Automated building code compliance checking, AI, ChatGPT, SNACC, Natural language processing
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Making Uncoordinated Autonomous Machines Cooperate: A Game Theory Approach

Kohta Sakurai, Masahide Horita
Pages 71-78

Abstract: The construction industry in Japan is facing an increasing shortage of labor that has resulted viable demands for automation and robotics. This research study applies an approach based on game theory to model cooperation in an uncoordinated autonomous environment. A set of construction machines have been designed to complete a ...

Keywords: Dynamic collaboration, game theory, deep reinforcement learning, multiagent determination model
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Full-Scale Prototype for Bricklaying Activity

Michele Ambrosino , Fabian Boucher , Pierre Mengeot , Emanuele Garone
Pages 79-85

Abstract: A major challenge for construction robotization concerns the use of robots for building activities on site. Several innovative ideas have been tried out in recent years. One of these is the idea of a mechanical mason to make the construction of walls as automated as possible. However, most of the ...

Keywords: Construction robotics, Control Architecture, Bricklaying activity, Multi-robotic System
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Bettan - Industrial robot and application for Finja Exakt build system

Maike Klöckner , Mathias Haage , Ronny Andersson , Klas Nilsson , Anders Robertsson , Helena Eriksson
Pages 86-93

Abstract: This paper reports on efforts to create a robotized construction build system, based on the Finja Exakt manual build system. The equipment used is a generic off-the-shelf industrial arm robot integrated with a spindle crane carrier for mobility. The approach offers technical, safety and usability challenges as well as integration ...

Keywords: construction robotics, build system automation, Finja Exakt build system
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Optical Process Control for extrusion-based Additive Manufacturing methods in construction

Rafay Mohiuddin, Miranda Cruz Policroniades, Martin Slepicka, André Borrmann
Pages 94-101

Abstract: Additive Manufacturing (AM) provides many advantages when applied to the field of construction. However, due to the large scale of construction projects, time requirements for the printing process are also large, making AM processes susceptible to the influence of external variables. Accordingly, it is advisable to employ methods that can ...

Keywords: Digital Fabrication; Automation in Construction, Additive Manufacturing, Process Monitoring, Real time Control, Computer Vision
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RTDE robot control integration for Fabrication Information Modeling

Martin Slepicka, Jalal Helou, André Borrmann
Pages 102-109

Abstract: In response to its stagnating productivity and growing demand for sustainability, the architecture, engineering, and construction (AEC) industry is increasingly pushing ahead regarding digitization and automation. Building Information Modeling (BIM) and Additive Manufacturing (AM) are two technologies that contribute significantly to this development. Although these technologies have similar basic principles ...

Keywords: Fabrication Information Modeling, AM, Robotics
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Realtime damage detection in long conveyor belts using deep learning approach

Uttam Kumar Dwivedi , Ashutosh Kumar , Yoshihide Sekimoto
Pages 110-115

Abstract: Japan's Road networks rely heavily on the mountain tunnels due to its topology. During the construction of these tunnels, mucking process is conducted to remove crushed rocks and rubbles in the tunnel with the use of long conveyor belts with the size of 3 to 10km. Regular visual inspections of ...

Keywords: Internet of things (IoT), Edge computing, Automation, Smart construction, Damage detection, Real-time
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Low-light Image Enhancement for Construction Robot Simultaneous Localization and Mapping

Xinyu Chen, Yantao Yu
Pages 116-123

Abstract: Visual Simultaneous Localization and Mapping (V-SLAM) is commonly employed as a method in construction robots due to its efficient and cost-effective nature for information acquisition. However, detection and positioning using V-SLAM face significant challenges in low-light construction scenes, such as underground garages or dim indoor locations, where detecting enough valid ...

Keywords: Low-light enhancement, Simultaneous Localization and Mapping, Retinex, construction robots
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Mobile-robot and Cloud-based Integrated Defect Inspection System for Indoor Environments

Vengatesan Govindaraju, Takrit Tanasnitikul, Zheng Wu, Pongsak Lasang
Pages 124-131

Abstract: Conventional defect inspections in newly constructed indoor environments still rely heavily on manual checking and judgement, which can be costly, time-consuming, superficial, and prone to human errors. In this paper, we have proposed a novel complete integrated system where a mobile-robot platform capable of autonomous navigation, performs data collection in ...

Keywords: construction quality, robotics, cloud, alignment, evenness, crack, damages, stains, user interface
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Vehicle Trajectory-Tracking Model for AV using LiDAR in Snowy Weather Under Different Snowing Environments

Padmapriya J , Ravi Prasath M , Murugavalli S
Pages 132-139

Abstract: Autonomous cars are frequently fitted with radars, cameras, and LiDAR due to their complimentary capacities of environment awareness. However, when the host vehicle's LiDAR is negatively impacted by challenging weather circumstances like snow in varied snowfall conditions, precisely following the trajectory of the previous vehicle becomes imperative .Due to the ...

Keywords: De-noising, Trajectory Tracking, GMM, LiDAR, Autonomous Vehicle
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Quantified Productivity Evaluation of Autonomous Excavation Systems using a Simulation Approach

Xiaoyu Bai , Beiji Li , Yong Zhi Koh , Soungho Chae , C.S. Meera , Justin K.W. Yeoh
Pages 140-147

Abstract: Autonomous excavation systems are currently being developed to help address issues of poor productivity, by automating the excavation process and reducing manpower onsite. However, the impact of automation on the productivity of the excavation process remains to be determined. This paper uses a simulation approach to study this question. A ...

Keywords: Autonomous Excavation Systems, Simulation, Productivity Impact

Prototypical digital twin of multi-rotor UAV control and trajectory following

Lanh Van Nguyen, Trung Hoang Le, Quang Phuc Ha
Pages 148-155

Abstract: This paper presents the development of a prototypical digital twin package for multi-rotor aerial vehicle(MAV) systems, with potential application for monitoring a construction site. The focus is how to create a virtual representation of an actual surveillance system that can be updated from real-time data to effectively help with its ...

Keywords: Digital twin, multi-rotor aerial vehicle, 3D modelling, control and tracking.
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Development of a Blade Lifting Control Assist System for a Motor Grader

Ekin Cansu Özkan Öztürk , Ufuk Akpinarli , Ilhan Varol , Yavuz Samim Ünlüsoy , Klaus Werner Schmidt
Pages 156-163

Abstract: Precise blade control is a central task when automating the operation of motor graders. This paper focuses on the parallel lifting movement using a combination of feedforward and feedback control for controlling the respective lifting cylinders. To this end, the paper first examines the blade mechanism of a motor grader ...

Keywords: motor grader, automatic blade function control, system control algorithm
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Development and evaluation of a low-cost passive wearable exoskeleton system for improving safety and health performance of construction workers: A pilot study

Shahnawaz Anwer , Heng Li , Mohammed Abdul-Rahman , Maxwell Fordjour Antwi-Afari
Pages 164-171

Abstract: Construction workers have an increased risk of having muscle fatigue and musculoskeletal injuries, among other non-fatal workplace injuries. As a result, this project aimed to develop and evaluate a low-cost passive wearable exoskeleton system for improving construction workers' safety and health performance, mainly by mitigating the risk of developing musculoskeletal ...

Keywords: Construction safety, Exoskeleton device, Fatigue, Musculoskeletal injury
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Automated construction process for foundation engineering

George Meshcheriakov , Anatolii Andryushchenko
Pages 172-179

Abstract: The purpose of this manuscript is to outline a scientific task aimed at improving the technological and organizational methods for pressing piles into the ground. The study proposes the development of conceptual piling equipment and construction methods for various structural and technological solutions for pile fields, especially under complicated conditions. ...

Keywords: Construction automation, Technological process modeling, Foundation engineering, Piling machine

Bulldozer sensing technique for the purpose of automation for bulldozer's workflow

Alexey Bulgakov , Thomas Bock , Georgii Tokmakov , Sergey Emelianov
Pages 180-185

Abstract: Recently, global positioning systems - GLONASS and GPS are increasingly used for road construction machines. Often, mobile stations installed on the construction site are used, which increase positioning accuracy, but have a limited range. Providing a signal source to every running machine is very costly. Taking into account the often ...

Keywords: Mechatronic system, Bulldozer blade, Leveling control, Sensing system

Proposal of an Open Platform for Autonomous Construction Machinery Development

Genki Yamauchi, Endo Daisuke, Hirotaka Suzuki, Takeshi Hashimoto
Pages 186-191

Abstract: We are currently experiencing a shortage of skilled labor in the construction industry, thus it is imperative to improve productivity at construction sites. One of the most effective ways to address this issue is through the implementation of autonomy. Machine control systems have been utilized for heavy equipment for over a ...

Keywords: Autonomous Construction, Open Platform, OPERA

Real-time evaluator to optimize and automate crane installation of prefabricated components

Nolan W. Hayes, Bryan P. Maldonado, Diana Hun, Peter Wang
Pages 192-199

Abstract: Trade associations for prefabricated construction estimate that about 50\% of prefabricated wall projects have alignment problems that lead to defects and rework. Additionally, component installation times average between 30 and 60 minutes per component. To address these issues, a real-time evaluator (RTE) system was introduced to decrease cost and automate ...

Keywords: automation, accuracy, time, prefabrication, installation, real-time

Mathematical description of concrete laying robots

Vladimir Travush , Alexey Bulgakov , Thomas Bock , Wen-der Yu , Ekaterina Pakhomova
Pages 200-207

Abstract: The object of the research is robots with a manipulation system for concrete-laying operations. The kinematic scheme of a robot with an articulated distributive arm, providing delivery of concrete to any point of the erected object and allowing to bypass various kinds of encountered obstacles, is presented. The closed loops ...

Keywords: Robot, Manipulator, Concrete, Path Planning, Mathematical Modell, Approximation

Structural organization of robotic building and mounting complexes

Alexey Bulgakov , Jens Otto , Wen-der Yu , Vladimir Rimshin , Alexey Shleenko
Pages 208-213

Abstract: The object of the research is construction robot manipulators for mounting works. The results of mathematical identification of mounting manipulators on the basis of a tower crane model are presented. The design of movement trajectories of a manipulator or technological equipment is performed taking into account the limitations both on ...

Keywords: Robot, Building and Mounting Works, Mathematical Modell, Path Planning

Proof-of-concept for a reliable common data environment utilizing blockchain and smart contracts for supply-chain of public civil works

Fumiya Matsushita, Kazumasa Ozawa
Pages 214-221

Abstract: To rationalize and automate public civil engineering works, it is crucial to directly utilize the information produced by the contractor for quality/ as-built inspection, and progress measurement. In this study, a highly reliable common data environment that utilizes blockchain and smart contracts to ensure tamper resistance and traceability of construction ...

Keywords: Blockchain, Smart contract, As-built inspection, Progress measurement, Common data environment
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An Extensible Construction Ontology to Guide Job-Site Sensing and Support Information Management

Ran Ren , Jiansong Zhang , Pingbo Tang
Pages 222-229

Abstract: Real-time sensing data and continuously updated project documents pose challenges to project managers who need to analyze these data and documents to derive meaningful information necessary for decision-making. To collect and incorporate heterogeneous data both from offsite and onsite sources, the authors: (1) developed a construction tasks, resources, and techniques ...

Keywords: Construction Ontology, Sensing Techniques, Jobsite Data, Automation, Information Management
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Impact of Reinforcement Design on Rebar Productivity

Amith G Mallya , Varun Kumar Reja , Koshy Varghese
Pages 230-237

Abstract: Scheduling is an essential part of project management, and many processes like procurement, fabrication, and resource mobilization are based on these schedules. If the actual targets lag from the pre-planned schedules, waste is generated in the form of idle inventory. It also results in an increased workload on man and ...

Keywords: Reinforcement productivity, Data fitting, Regression analysis, MATLAB, Excel, heavily reinforced structures, rebar density, complexity in design, Delay, work productivity, Buildability, Rebar placement, lean construction management
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Prospects of Integrating BIM and NLP for Automatic Construction Schedule Management

Akarsth Kumar Singh, Aritra Pal, Pavan Kumar, Jacob J. Lin, Shang-Hsien Hsieh
Pages 238-245

Abstract: In construction, project schedules are still created and updated manually, which takes time, causes errors, and leads to poor planning and scheduling, one of the main reasons for project delays today. Consequently, overcoming these challenges requires an automated schedule management method that extracts information and knowledge from existing and previous ...

Keywords: Natural Language Processing, Building Information Modeling, Construction Planning and Scheduling, Data Extraction, Information Retrieval, Optimization, ChatGPT.
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Design based Constraint Handling for Site Layout Planning

Abhishek Raj Singh , Venkata Santosh Kumar Delhi , Sagar Jain
Pages 246-253

Abstract: Site layout planning (SLP) constraints are handled heuristically or through a mathematical approach, as presented in the SLP literature. The real-life constraints of SLP are modelled as mathematical equations and are attempted to be handled through optimisation models. It is observed that the existing mathematical SLP models handle a limited ...

Keywords: Site Layout Planning, Project Design, Building Information Modeling, Optimisation
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Digital Twin Framework for Worker Safety using RFID Technology

Anikesh Paul, Sagar Pulani, J. Uma Maheswari
Pages 254-261

Abstract: Construction 4.0 and Digital Twin are the emerging concepts of the digital era in the Construction Sector. The crux of these digital technologies lies in capturing the rich "real physical" data to model the "virtual" structure to enable the experiments for specific decision-making. Although protocols for the hazardous operations had ...

Keywords: Digital Twin, Construction Safety, RFID, BIM
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Evaluation of ground stiffness using multiple accelerometers on the ground during compaction by vibratory rollers

Yusuke Tamaishi , Kentaro Fukuda , Kazuto Nakashima , Ryuichi Maeda , Kohei Matsumoto , Ryo Kurazume
Pages 262-269

Abstract: Soil compaction is one of the most important basic elements in construction work because it directly affects the quality of structures. Compaction work using vibratory rollers is generally applied to strengthen ground stiffness, and the method that focuses on the number of compaction cycles is widely used to manage the ...

Keywords: Vibratory rollers, Ground stiffness evaluation
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Optimized Production Scheduling for Modular Construction Manufacturing

Angat Pal Singh Bhatia , Osama Moselhi , SangHyeok Han
Pages 270-277

Abstract: Modular construction is becoming a viable construction method in North America due to its support of the concept of circular construction and its inherent ability to provide a faster return on investment. The process of modular construction manufacturing (MCM) operates as a production line, where the number of module components ...

Keywords: Modular Construction Manufacturing (MCM), Production Line, Deep Neural Network, Scheduling, Optimization
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AWPIC: Advanced Work Packaging Improvement Canvas

Hala Nassereddine , Makram Bou Hatoum , Fernando Espana
Pages 278-285

Abstract: Advanced Work Packaging (AWP) is an innovative planning and control method for industrial projects with known parameters that allow organizations to transform the way they plan and control industrial construction projects. As the implementation of AWP is gradual, organizations are constantly looking to improve their practices. However, several organizations struggle ...

Keywords: AWP, Improvement, Business Process Reengineering, Canvas

Assessment of Financial Risk Parameters Associated with Public-Private Partnership Port Projects in India

Krushna Shivaji Raut, Dr. Gayatri S. Vyas
Pages 286-293

Abstract: In developing countries infrastructure investment is increased in last few decades. Public private partnership plays important role in low- and middle-income countries for providing finance. 95% of India international trade is transport through port sector. Hence it is big infrastructural project for India to connect with other countries. Public private ...

Keywords: Financial risk, Monte Carlo simulation, Net Present Value (NPV), port infrastructure, public-private partnership.

From Lab to Field: A Sociotechnical Systems View of the Organisational Cycle for Intelligent Robotics Technologies Ideation, Planning, Design, Development and Deployment

Karyne Ang , Shankar Sankaran , Dikai Liu , Pratik Shreshta
Pages 294-301

Abstract: Advanced intelligent robotics technologies like autonomous and collaborative robots in construction sites have been explored in the literature for more than a decade. However, there are only a few prototypes that successfully make it to the field due to various reasons. There is burgeoning interest in the design, development and ...

Keywords: sociotechnical systems, stakeholders, design thinking, intelligent robots, construction
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Digital Twin Approach for the Ergonomic Evaluation of Vertical Formwork Operations in Construction

Vigneshkumar Chellappa , Jitesh Singh Chauhan
Pages 302-308

Abstract: Construction formwork activities are physically demanding and repetitive, increasing the risk of work-related musculoskeletal disorders. This study proposed a digital twin approach to evaluate the ergonomic risks associated with vertical formwork operations using steel formwork systems in Indian construction projects. The on-site observation captured the workers' postures, allowing for more ...

Keywords: Digital twin, Vertical formwork, Construction workers, Health and safety
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Impact of Crew Diversity on Worker Information Access and Performance

Bassam Ramadan , Hala Nassereddine , Timothy Taylor , Paul Goodrum
Pages 309-316

Abstract: Labor shortage has consistently been a challenge in the construction industry for decades. As a data-heavy industry, information access and technological innovations are critical for pique performance. Currently, the industry is witnessing a global trend of workforce diversity, as industry leaders are emphasizing its importance. Research shows that gender and ...

Keywords: Information Access, Performance, Crew Diversity, Technology
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Understanding BIM through a Simulation Game - Case study of Indian Students subjected to this course

Vasanth K. Bhat , Gregor Grunwald , Tobias Hanke
Pages 317-324

Abstract: Design Hub India and Jade University of Applied Sciences conducted a simulation game in Bangalore, India to teach the networked and digital planning methodology Building Information Modelling (BIM). The teaching format was developed in Germany and has already been implemented and field-tested in teaching. At this event, the format was ...

Keywords: Information modeling techniques, Building Information Modeling; BIM; game design elements; business game; international case study
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Towards interfacing human centered design processes with the AEC industry by leveraging BIM-based planning methodologies

Marc Schmailzl , Michael Spitzhirn , Friedrich Eder , Georg Krüll , Thomas Linner , Mathias Obergrießer , Wassim Albalkhy , Zoubeir Lafhaj
Pages 325-332

Abstract: Digital workflows in the Architecture, Engineering and Construction (AEC) industry have been working with a wide range of software solutions trying to enable a Design-to-Production (DtP) end-to-end data flow. Thereby, state-of-the-art software solutions attempt to streamline the design and production processes accordingly. However, most digital workflows lack in terms of adequate ...

Keywords: Architecture Engineering and Construction (AEC) industry, Building Information Modeling (BIM), Digital Human model (DHM), Interoperability
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Research on the Relationship between Awareness and Heart Rate Changes in the Experience of Safety Education Materials Using VR Technology

Shunsuke Someya , Kazuya Shide , Hiroaki Kanisawa , Zi Yi Tan , Kazuki Otsu
Pages 333-340

Abstract: The response of subjects having experienced VR content for safety education was confirmed by their heart rate. Ten male subjects with work experience in construction and ten without such experience used VR content for safety education. The subjects were allowed to walk through scaffolding which was defective in five facilities ...

Keywords: VR, Safety Education, Heart rate, Human factor
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An Integrated Approach for Automated Acquisition of Bridge Data and Deficiency Evaluation

Abdelhady Omar, Osama Moselhi
Pages 341-348

Abstract: Bridges are essential components of civil infrastructures that enable joining highways and cities, as well as facilitating movement between different geographical locations. Deterioration of bridges can pose a threat to public safety and hinder economic activities. The development of innovative and reliable asset management tools to support the optimization of ...

Keywords: Data Acquisition, Data Scrapping, Bridge Inspection Report, Document Parsing, Information Extraction, Text Mining, Bridge Deck Deficiencies
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Coupling asphalt construction process quality into product quality using data-driven methods

Qinshuo Shen, Faridaddin Vahdatikhaki, Seirgei Miller, Andre Doree
Pages 349-356

Abstract: The long-term quality of the asphalt layer is crucial for maintaining the functionality of roads. Despite extensive research on predicting pavement failure modes and the effect of design and road use on the quality of the asphalt layer, there is limited understanding of how the quality of road construction impacts ...

Keywords: Asphalt construction, construction process quality, international roughness index (IRI), data-driven methods, regression, machine learning
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BIM-GIS integration and crowd simulation for fire emergency management in a large diffused university

Silvia Meschini , Daniele Accardo , Mirko Locatelli , Laura Pellegrini , Lavinia Chiara Tagliabue , Giuseppe Martino Di Giuda
Pages 357-364

Abstract: The integration of BIM (Building Information Modeling) and GIS (Geographic Information System) is promising to develop Asset Management Systems (AMS) for complex systems such as university assets. The potential lies in the ability to connect and contextualize data from several domains and at different scales, considering the relationship between buildings ...

Keywords: BIM, GIS, Asset Management, Operation and Maintenance, data integration, crowd simulation, fire emergency, Digital Twins

Transformation of Point Clouds to Images for Safety Analysis of Scaffold Joints

Jeehoon Kim, Sunwoong Paik, Yulin Lian, Juhyeon Kim, Hyoungkwan Kim
Pages 365-370

Abstract: Structural flaws in scaffolds can lead to fatal accidents on construction sites, and the installation status of scaffold joints is crucial for the safety of scaffolds. However, manual inspection of scaffold joints can be challenging due to their small size and large quantity. This paper presents a scaffold joint inspection ...

Keywords: Deep learning, Scaffold, Point-to-Image, Safety analysis, Terrestrial Laser Scanning
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Occlusion-free Orthophoto Generation for Building Roofs Using UAV Photogrammetric Reconstruction and Digital Twin Data

Jiajun Li , Frédéric Bosché , Chris Xiaoxuan Lu , Lyn Wilson
Pages 371-378

Abstract: Building roofs are a primary barrier of the building fabric to protect building interiors and their occupants from the effects of the weather. Effectively monitoring their condition and maintaining them is thus critical, and even more so in light of the increasing risks induced by climate change. Ideally, this requires ...

Keywords: Roof, UAV, Orthophoto, Photogrammetry, Occlusion, Projection
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Geometric control of short-line match casting using Computational BIM

Nandeesh Babanagar , Ashwin Mahalingam , Koshy Varghese , Vijayalaxmi Sahadevan
Pages 379-386

Abstract: Short-line match casting is a method of producing segmental pre-cast concrete bridges. This segment-production process is centralized, repetitive, compact, and easily adaptable to geometry variations such as plan, vertical, and transition curves. But the main challenge is the complexity of geometry control and the need for high accuracy. The complexity ...

Keywords: Computational BIM, Short-line match casting, Dynamo Visual Programming
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A pre-trained language model-based framework for deduplication of construction safety newspaper articles

Abhipraay Nevatia , Soukarya Saha , Sundar Balarka Bhagavatula , Nikhil Bugalia
Pages 387-394

Abstract: The unavailability of Occupational Health and Safety (OHS) statistics for the construction sector is a systemic hurdle in improving safety, particularly for developing countries. Alternatively, online newspaper articles are deemed a potential source for OHS statistics. Machine Learning (ML) approaches for text-mining are deemed essential for the resource-intensive processing of ...

Keywords: Construction safety, News Articles, Machine Learning, BERT, Longformer, Deduplication
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Development of a BIM-based spatial conflict simulator for detecting dust hazards

Leonardo Messi, Alessandro Carbonari, Alessandra Corneli, Stefano Romagnoli, Berardo Naticchia
Pages 395-402

Abstract: In construction management, a spatial conflict between two activities is generally identified as the intersection between related workspaces. Such assumption works well for detecting the majority of conflicts. Nevertheless, in certain dynamic scenarios, a spatial interference between two activities may occur even if the related workspaces do not intersect each ...

Keywords: Workspace Management, Spatial Conflict, Dust Hazard, Particulate Matter, BIM, Game Engine
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MN-pair Contrastive Damage Representation and Clustering for Prognostic Explanation

Takato Yasuno, Masahiro Okano, Junichiro Fujii
Pages 403-410

Abstract: For infrastructure inspections, damage representation does not constantly match the predefined classes of damage grade, resulting in detailed clusters of unseen damages or more complex clusters from overlapped space between two grades. The damage representation has fundamentally complex features; consequently, not all the damage classes can be perfectly predefined. The ...

Keywords: Damage Representation, Density-Based Spatial Clustering, Damage Importance Explanation
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Indoor Defect Region Identification Using an Omnidirectional Camera and Building Information Modeling

Yonghan Kim, Ghang Lee
Pages 411-417

Abstract: An omnidirectional (i.e., 360°) camera is an efficient device that can capture the status of a room with a single shot. To detect objects in a spherical image captured by a 360° camera, the image should be flattened and divided into patches reflecting normal fields of view (NFoV). However, detecting ...

Keywords: Defect Inspection, Omnidirectional Camera, Crack Detection, BIM
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Subword Tokenization of Noisy Housing Defect Complaints for Named Entity Recognition

Kahyun Jeon, Ghang Lee
Pages 418-425

Abstract: In domain-specific named entity recognition (NER), the out-of-vocabulary (OOV) problem arises due to linguistic features and rare vocabulary. OOV problem is particularly challenging in agglutinative languages such as Korean. The irregular decomposition of morphemes makes it difficult to represent all of them in language model dictionaries, resulting in poor NER ...

Keywords: Out of vocabulary (OOV), Subword tokenization, WordPiece, SentencePiece, Named entity recognition (NER), Construction defect management
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A Framework of Reconstructing Piping Systems on Class-imbalanced 3D Point Cloud Data from Construction Sites

Yilong Chen , Seongyong Kim , Yonghan Ahn , Yong Kwon Cho
Pages 426-433

Abstract: In construction environments, modifications to the dimensions, positioning, and trajectory of plumbing infrastructure within edifices are frequently necessitated by on-site conditions and pragmatic installation procedures. Recent advancements in Scan-to-BIM technology have streamlined pipe construction processes by monitoring development through a 3D model. However, existing 3D point cloud processing methods rely ...

Keywords: Point cloud segmentation, pipe reconstruction, construction sites, deep learning
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Information Modelling Guidelines for the Mining Sector

Jyrki Salmi, Rauno Heikkilä
Pages 434-441

Abstract: Mining is rapidly digitalizing and big data surrounds mines in their everyday activities and processes. Building Information Modelling (BIM) has long since taken an indispensable role in the design and management of buildings and infrastructures and is currently widely used as a standard for information management. Based on the results ...

Keywords: BIM, MIM, TIM, Modelling Guidelines
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Automated Layout Zoning: A Case of the Campus Design Problem

Vijayalaxmi Sahadevan , Kane Borg , Vishal Singh , Koshy Varghese
Pages 442-449

Abstract: Layout zoning is the foremost and crucial step in the design of large-scale greenfield construction projects such as campus development projects. While it is known that early design decisions have significant impact on the social and environmental value of the completed facility, much of the relationship between design attributes and ...

Keywords: Automated layout generation, Visual Programming, Parametric design, Computational design
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Deep learning for construction emission monitoring with low-cost sensor network

Huynh Anh Duy Nguyen , Trung Hoang Le , Quang Phuc Ha , Merched Azzi
Pages 450-457

Abstract: Emissions from construction activities, particularly in metropolitan areas, are carefully monitored to prevent health problems and environmental degradation. The data quality of low-cost wireless sensors in construction sites remains a challenge for pollution predictive models due to uncertainties of measurement and volatile environment. In this study, we propose a hybrid ...

Keywords: Time series, Deep Learning, Wireless sensor network, Dust monitoring
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Restructuring Elements in IFC Topology through Semantic Enrichment: A Case of Automated Compliance Checking

Ankan Karmakar, Venkata Santosh Kumar Delhi
Pages 458-465

Abstract: The current trends exhibit that the construction industry is focusing on implementing the Building Information Model (BIM) to improve visual analyses, cost estimation, and information exchange. Though standards, requirements, and development control rules (DCR) govern the construction project lifecycle, only a few applications have been developed to investigate BIM's capability ...

Keywords: Automatic Code Compliance Checking, Building Information Modeling, Industry Foundation Class, Semantic Enrichment, Artificial Intelligence
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Towards Automation in Steel Construction: Development of an OWL Extension for the DSTV-NC Standard

Victoria Clarita Jung, Lukas Kirner, Sigrid Brell-Cokcan
Pages 466-473

Abstract: The automation of steel construction requires new possibilities to link process data, measured deviations and tolerances. Our current research in robotic steel fabrication aims to address this challenge by developing an adaptive information model interface that can seamlessly integrate the cross-process considerations necessary for precise and efficient fabrication. The objective ...

Keywords: Domain Ontology, Robotic Steel Construction, Linked Data, Semantic Web
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Quality monitoring of Concrete 3D printed elements using computer vision-based texture extraction technique

Shanmugaraj Senthilnathan, Benny Raphael
Pages 474-481

Abstract: Concrete 3D Printing (3DP) has the potential to reduce construction time and the usage of labor and material in the construction industry. However, many parameters are found to influence the output of 3DP, and consequently, the variations in the quality of output are high. To fully realize the advantages of ...

Keywords: Concrete 3D printing, Computer Vision, Histogram of Oriented Gradients, Extrudability, Workability, Buildability
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Digital twins of bridges: notions towards a practical digital twinning framework

Kamil Korus , Marek Salamak , Jan Winkler
Pages 482-489

Abstract: Digital twins, the virtual counterparts of objects throughout their life cycle, are a crucial component of ongoing digitization. While the civil engineering community has already recognized the advantages of utilizing digital twinning, there is still a lack of comprehensive research in the field, resulting in uncertainties. This article proposes a ...

Keywords: Digital twins, Digitization, Bridges, Building Information Modeling

Marker-based Extrinsic Calibration for Thermal-RGB Camera Pair with Different Calibration Board Materials

Bilal Ali Sher, Xuchu Xu, Guanbo Chen, Chen Feng
Pages 490-497

Abstract: UAVs are used to rapidly and safely collect site data for engineering purposes. Thermal and RGB imagery are often captured for building envelope inspections. On large sites, the data produced can be cumbersome to process, especially if taken in a video format. This paper presents a way to perform image ...

Keywords: UAVs, Thermal Imagery, Building Envelopes, Data Preparation
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Online Safety Risk Management for Underground Mining and Construction Based on IoT and Bayesian Networks

Milad Mousavi , Xuesong Shen , Binghao Li
Pages 498-505

Abstract: Management of environmental hazards in underground mining and construction sites has always been a challenging task for project managers and site engineers. Poor ventilation, the production of hazardous gases, dust, and considerable heat and humidity are some of the inherent characteristics of these ecosystems. Most conventional underground risk management methods ...

Keywords: Online Safety Risk Management, Internet of Things, Bayesian Networks, Underground Mining and Construction
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Evaluating Road Segmentation Performance in Participatory Sensing: An Investigation into Alternative Metrics

Jeongho Hyeon , Minwoo Jeong , Giwon Shin , Wei-Chih Chern , Vijayan K. Asari , Hongjo Kim
Pages 506-512

Abstract: For road condition assessment, participatory sensing has been proposed in literature utilizing a normal vehicle equipped with a dashboard camera. In such environment, the main technical challenge is not only the recognition performance on target classes such as cracks, but also the preparation of training and test datasets with high ...

Keywords: Participatory sensing, road crack segmentation, performance evaluation metric, convolutional neural network, semantic segmentation
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Microservice-Based Middleware for a Digital Twin of Equipment-Intensive Construction Processes

Anne Fischer, Yuling Sun, Stephan Kessler, Johannes Fottner
Pages 513-520

Abstract: Following the example set by Industry 4.0, digitization is being proven as a vital tool in equipment-intensive construction processes. Telematics data from equipment is sent to platforms. The profitable use of this data is part of today's research regarding digital twins. This paper shows the conformity to Industry 4.0 terminology ...

Keywords: Middleware, Microservice architecture (MSA), Digital twin in construction (DTC), Discrete-event simulation (DES)
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BIM-SLAM: Integrating BIM Models in Multi-session SLAM for Lifelong Mapping using 3D LiDAR

Miguel Arturo Vega Torres, Alex Braun, André Borrmann
Pages 521-528

Abstract: While 3D Light Detection and Ranging (LiDAR) sensor technology is becoming more advanced and cheaper every day, the growth of digitalization in the Architecture, Engineering and Construction (AEC) industry contributes to the fact that 3D building information models (BIM models) are now available for a large part of the built ...

Keywords: BIM, Multi-Session SLAM, Pose-Graph Optimization, Localization, Mapping, 3D LiDAR.
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A review of Computer Vision-Based Techniques for Construction Progress Monitoring

Shrouk Gharib , Osama Moselhi
Pages 529-536

Abstract: Monitoring the progress of construction operations on site is crucial to keep an up-to-date schedule. In the past, manual methods were used for that purpose, which lead to errors and delays in generating up-to-date schedules. Current practices and research lines have been studying different methodologies to reach a fully automated ...

Keywords: Progress Monitoring, Automation in Construction, Sensing Technology, Computer Vision, Data Acquisition
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A corpus database for cybersecurity topic modeling in the construction industry

Dongchi Yao , Borja García de Soto
Pages 537-544

Abstract: In the digitalized era of Construction 4.0, ensuring the confidentiality, availability, and integrity of digital assets through cybersecurity is crucial for the construction industry. Although more than 75% of respondents from a Forrester survey who are in the construction, engineering, and infrastructure industries reported to have experienced a cyber-incident in ...

Keywords: Cybersecurity, Topic Modeling, Deep Learning, Natural Language Processing, Construction Industry
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Lessons Learned from 'Scan to BIM' for Large Renovation Projects by the U.S. Army Corps of Engineers

Tony Cady, Anoop Sattineni, Junshan Liu
Pages 545-552

Abstract: The U.S. Army Corps of Engineers (USACE) Savannah District recently invested in the adoption of a process of transferring 3D Light Detection and Ranging (LiDAR) scan data into a Building Information Model (BIM), a process commonly known as Scan to BIM. This research explores the challenges and benefits of adopting ...

Keywords: USACE, Laser Scanning, LiDAR, Scan-to-BIM, Renovation Projects
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Demonstration of LiDAR on Accurate Surface Damage Measurement: A Case of Transportation Infrastructure

Nikunj Dhanani, Vignesh V P, Senthilkumar Venkatachalam
Pages 553-560

Abstract: Accurate damage measurements of the transport infrastructure facilities during their maintenance/service life are characterized by their higher cost, safety hazards, historical data loss etc. Conventional techniques have limitations on their longevity and sustainability. To overcome this, many non-contact measurement technologies such as photogrammetric techniques, LiDAR etc., are demonstrated in various ...

Keywords: LiDAR, Scan area planning, Surface damage assessment
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DeepGPR: Learning to Identify Moisture Defects in Building Envelope Assemblies from Ground Penetrating Radar

Bilal Ali Sher, Chen Feng
Pages 561-568

Abstract: Conventionally used moisture detection equipment such as infrared scanners and capacitance meters require a trained interpreter to understand moisture issues on rooftops. Additionally, conventional sensors can only provide reliable results in specific environmental conditions. In this paper, we will discuss the various methods used for roof moisture scans and their ...

Keywords: Ground penetrating radar, moisture detection, building envelope analysis, rooftop moisture survey

Using AI for Planning Predictions - Development of a Data Enhancement Engine

Ashwath Kailasan , Vikas Patel , Viranj Patel , Bhargav Dave
Pages 569-576

Abstract: The construction industry is prone to cost overruns, time overruns, and quality issues. These are all caused by several factors, among which improper planning resulting from unreliable assumptions and unpredictable risks plays a significant role. This could be overcome if the planning-related issues are well predicted, and the risks are ...

Keywords: Artificial Intelligence, Machine Learning, Planning predictions, BIM, Data Enhancement, Sustainability

Lessons Learned from the "Hack My Robot" Competition and Considerations for Construction Applications

Muammer Semih Sonkor, Borja García de Soto
Pages 577-584

Abstract: The construction industry is going through a digital transformation where automation and robotics are slowly making their way into construction projects. This change brings numerous benefits, such as cost and time efficiency and higher accuracy and quality. At the same time, it raises cybersecurity concerns. Since most construction environments are ...

Keywords: Construction 4.0, Cybersecurity, Competition, Robotics

HLE-SLAM: SLAM for overexposed construction environment

Xinyu Chen, Yantao Yu
Pages 585-588

Abstract: Robustness to overexposure conditions poses a significant challenge in the visual simultaneous localization and mapping (V-SLAM) of construction robots. Limitations in sensor exposure lead to the loss of information, making it difficult to track enough feature points for construction robots under overexposure conditions, owing to the assumption of constant brightness ...

Keywords: Overexposure, Frames fusion, Simultaneous Localization and Mapping, Construction robots
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AprilTag detection for building measurement

Kepa Iturralde, Jungcheng Shen, Thomas Bock
Pages 589-592

Abstract: Building façade renovation with prefabricated panels requires the installation of supporting connectors. Obtaining the exact locations and angles of the connectors is currently a time-consuming activity. The new method presented in this paper uses AprilTag markers as targets on the wall and measures them based on a photogrammetry concept. The ...

Keywords: AprilTags, detection, measure
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UAV for target placement in buildings for retrofitting purposes

Kepa Iturralde, Wenlan Shen, Tao Ma, Soroush Fazeli, Hükar Suci, Runfeng Lyu, Weihang Li, Jui Wen Yeh, Phillip Hübner, Nikhita Kurupakulu Venkat, Thomas Bock
Pages 593-596

Abstract: The use of UAVs in the construction industry is a rather novel concept whose applications are not widespread yet. This research aims to develop a UAV with an end effector used to fix targets on a building façade. With the use of this application, the use of manual force and ...

Keywords: UAV, end effector, simulation, ROS
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BIM Implementation Strategy- A proposal for KMRL

Dona James, Berlin Sabu, Dyna James
Pages 597-600

Abstract: The implementation of Building Information Modelling (BIM) is a widely adopted pattern of revolution in the construction sector and the results gained through BIM adoption in multidisciplinary projects are well pronounced. Even though BIM is a widely accepted technique, its adoption in Kerala, especially for Kerala government projects is rare. Kochi ...

Keywords: BIM implementation strategy, Kochi Metro Rail project, BEP contents
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Object Detection in Construction Department

Pralipa Nayak
Pages 601-604

Abstract: The capability to automatically identify shapes and objects from the image content through direct and indirect methodologies has enabled the development of several civil engineering related applications that assist in the development of construction projects. This paper shows how this automation process has been made possible using Machine Learning techniques ...

Keywords: Object detection, Machine learning, computer vision, image processing, construction
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Online Modelling and Prefab Layout definition for building Renovation

Kepa Iturralde, Sathwik Amburi, Sandhanakrishnan Ravichandran, Samanti Das, Danya Liu, Thomas Bock
Pages 605-608

Abstract: This paper introduces a powerful semi-automated tool that efficiently creates detailed 3D building models and layouts of prefabricated modules with solar panels from building images and Open Street Map floor plans. The tool permits the generation of the existing building model and the layout of the prefabricated panels in an ...

Keywords: Building model, renovation, prefabrication, semi-automated
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Overview of robotic shotcrete technologies with basalt reinforcement

Thomas Bock , Viacheslav Aseev , Alexey Bulgakov
Pages 609-612

Abstract: The article provides an overview of current developments in shotcrete technology, presents examples of construction robots that provide robotization of such technologies, and also provides a reinforcement model for a machined structure, which is designed to improve the quality and automate the shotcrete process using basalt fiber

Keywords: Shotcrete, Basalt, Robotization, Reinforcement

Automatic Design of various Reinforced Concrete Structures based on AutoCAD AutoLISP

Dharani V P , Parvatham Vijay
Pages 613-616

Abstract: The objective of this paper is to develop different automatic designs for building construction using a new tool called AutoCAD AutoLISP. One-way slab, Reinforced Cement Concrete pipe, straight stairs spanning horizontally, Circular tank over the ground and a Square Column Footing. These are the designs developed using AutoLISP software. Five ...

Keywords: Automatic, Design, Reinforced, Concrete, structures, AutoCAD, AutoLISP

PExCon: Design and Development of Passive Exoskeleton for Construction

Sachin Kansal , Jiansong Zhang
Pages 617-620

Abstract: The concept of teleoperation is crucial in modern and future construction workplaces, as it can be used in remote or challenging/hazardous environments such as workspace in a desert, close to a nuclear reactor, or underwater, among others. The success of teleoperation hinges on its interface, where passive exoskeleton with ergonomics ...

Keywords: Tele-operation, Remoting, Manipulator, Construction Technology, Passive Exoskeleton, Sensors

The Analysis of Lean Wastes in Construction 3D Printing: A Case Study

Wassim AlBalkhy , Scott Bing , Saad El-Babidi , Zoubeir Lafhaj , Laure Ducoulombier
Pages 621-627

Abstract: One way to improve the construction sector is by paving the way toward adopting innovative technologies and practices that may contribute to improving efficiency and performance in this sector. During the last few years, lean construction and 3D printing have been considered compatible with this goal. Nevertheless, their integration together ...

Keywords: Additive manufacturing, 3D printing, Lean, Lean construction, waste elimination
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Exploring the Digital Thread of Construction Projects

Makram Bou Hatoum , Hala Nassereddine , Nadine AbdulBaky , Anwar AbouKansour
Pages 628-635

Abstract: The construction industry is one of the most information-intensive industries where the success of projects depends on information being accurate, complete, timely, readily available, and understandable by different recipients. As projects become complex and processes become more digitized, the value of capturing, tracking, accessing, and sharing lifecycle-spanning data becomes critical ...

Keywords: Digital Thread, Data, People, Process, Social Network Analysis, Topology

The impact of the combined innovations at the Hungarian National Athletics Stadium steel roof structure construction

Heidenwolf Orsolya , Juhász Márton István , Kocsis András Balázs , Gáncs Dániel , Kézsmárki Zoltán , Kis Attila , Szabó Ildikó
Pages 636-643

Abstract: The aim of the research is to discover the interrelation between Construction 4.0 technologies and Sustainable development Goals (SDG) in a complex project. The construction of the National Athletic Stadium in Hungary of the 25.000m2 steel and cable membrane roofing structure demanded special innovations due to its uniqueness and its ...

Keywords: DfMA, sustainability, parametric-algorithmic design, laser tracking, construction 4.0, metrology, quality control, case study
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Generative Design for Prefabricated Structures using BIM and IoT applications - Approaches and Requirements

Veerakumar Rangasamy, Jyh-Bin Yang
Pages 644-651

Abstract: Building Information Modeling (BIM) has demonstrated a wide range of merits over traditional and modern constructions. The integration of generative design (GD) with BIM in the construction industry has become an interesting topic, even though the concept is not very new. Prefabricated construction (PC) offers several advantages over traditional construction ...

Keywords: Generative Design, Building Information Modeling (BIM), Prefabricated Construction, IoT Applications
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LeanAI: A method for AEC practitioners to effectively plan AI implementations

Ashwin Agrawal , Vishal Singh , Martin Fischer
Pages 652-659

Abstract: Recent developments in Artificial Intelligence (AI) provide unprecedented automation opportunities in the Architecture, Engineering, and Construction (AEC) industry. However, despite the enthusiasm regarding the use of AI, 85% of current big data projects fail. One of the main reasons for AI project failures in the AEC industry is the disconnect ...

Keywords: Artificial Intelligence, Machine Learning, Technology management, Lean methodology, Last planner system, AI strategy, AI adoption, Technology adoption, Digital strategy

Digital Twin as enabler of Business Model Innovation for Infrastructure Construction Projects

Sascha van der Veen , Elias Meusburger , Magdalena Meusburger
Pages 660-666

Abstract: Emerging technologies and methods are becoming an important element of the construction industry. Digital Twins are used as a base to store data in BIM models and make use out of the data respectively make the data visible. The transparency in all phases of the lifecycle of building and infrastructure ...

Keywords: Digital Twin, Business Model Innovation, Infrastructure, Decision-Making

Using BIM to Facilitate Generative Target Value Design for Energy Efficient Buildings

Saurav Bhilare, Diya Khatri, Salonee Rangnekar, Qian Chen
Pages 667-674

Abstract: Buildings are one of the major energy consumers and the biggest producers of greenhouse gases, accounting for close to half of all energy emissions in construction industry. Construction stakeholders have been increasingly focusing on the broad idea of sustainable building design and construction technologies. The goal of sustainable design extends ...

Keywords: Generative Design, BIM, Building design, Target Value Design, Sustainable buildings, Energy Analysis, Solar Analysis
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Hardware/Software solutions for an efficient thermal scanning mobile robot

Alejandro López-Rey, Amanda Ramón, Antonio Adán
Pages 675-682

Abstract: The use of robotic platforms greatly facilitates the reconstructions of 3D models of buildings and automates tasks that would be tiring and inaccurate when carried out manually. In the specific area of thermal monitoring of buildings, robots can also develop an important role providing dense temperature information of envelopes and ...

Keywords: Robotic platforms, thermal scanning, thermal point clouds, FoV, building sensoring
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Construction Automation and Robotics for Concrete Construction: Case Studies on Research, Development, and Innovations

Rongbo Hu , Wen Pan , Kepa Iturralde , Thomas Linner , Thomas Bock
Pages 683-690

Abstract: The construction industry, supported by the materials industry, is a major user of natural resources. Automation and robotics have the potential to play a key role in the development of circular construction by increasing productivity, reducing waste, increasing safety, and mitigating labor shortages. Starting with a brief synopsis of the ...

Keywords: Automated Construction Machinery, Concrete Construction, Construction Robots, Robot-Oriented Design
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3D Printing: An opportunity for the sustainable development of building construction

Christopher Joseph Núñez Varillas, Marck Steewar Regalado Espinoza, Angela Cecilia Gago Gamboa
Pages 691-698

Abstract: Traditional construction processes have certain shortcomings, due to the waste generated, the quality, safety, and environmental problems, etc. In this sense, certain technological innovations are presented as an acceptable alternative in a country to improve these construction processes. One of them is 3D concrete printing, which requires a printer that ...

Keywords: 3D-printed construction, 3D concrete printing, Technology adoption, Sustainability, Concrete
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Crack Detection and Localization in Stone Floor Tiles using Vision Transformer approach

Luqman Ali , Hamad Aljassmi , Medha Mohan Ambali Parambil , Muhammed Swavaf , Mohammed AlAmeri , Fady Alnajjar
Pages 699-705

Abstract: Cracks are the initial indicators of deterioration of any civil infrastructures. Structures are typically monitored manually by inspectors, which is time consuming, laborious, costly, and easily prone to human error. To address these limitations this paper aims to present a vision transformer-based stone floor tiles crack detection and localization approach. ...

Keywords: Structural Health Monitoring, Crack Detection, Vision Transformer, Sliding Window Approach, Stone floor, automatic inspection.
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Integrating Building Information Modeling, Deep Learning, and Web Map Service for Sustainable Post-Disaster Building Recovery Planning

Adrianto Oktavianus , Po-Han Chen , Jacob J. Lin
Pages 706-713

Abstract: Building recovery is always a major issue after disasters due to the urgent need for efficient assessment of damaged buildings and effective management of required resources. At the same time, it is necessary that building recovery planning considers the impact of used materials on the environment as well as the ...

Keywords: Building Information Modeling, Deep Learning, Web Map Service, Post-Disaster Building Recovery
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Life cycle-oriented decision making based on data-driven building models

Niels Bartels , Josephine Pleuser , Timo Schroeder
Pages 714-721

Abstract: The integration of BIM and sustainability is a key success criterion for sustainable planning, construction and operation and maintenance. Actually, various research is conducted to integrate the economic, environmental and social aspects in the BIM method. Especially, Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) are subjects of research. ...

Keywords: Building Information Modeling (BIM), Life Cycle Assessment (LCA), Life Cycle Costing (LCC), Data-driven Decision

Sustainability in Construction Projects: Setting and measuring impacts

Priyanka Ramprasad , Bhargav Dave , Martin Zilliacus , Viranj Patel
Pages 722-729

Abstract: The construction industry has proposed many frameworks to tackle its significant impact on sustainability. But there is a dearth of tools that help stakeholders quantify and understand the impact of their activities, particularly in the construction phase of a building. This study started with a literature review followed by interviews ...

Keywords: Sustainability impact assessment, Life cycle assessment framework, Construction phase

State of the art Technologies that Facilitate Transition of Built Environment into Circular Economy

Aparna Harichandran, Søren Wandahl, Lars Vabbersgaard Andersen
Pages 730-737

Abstract: The construction industry is highly energy intensive and causes significant environmental impacts and reduction in natural resources. A radical change in current practices is necessary for achieving a circular economy in the construction sector. Structural holes in the supply chain, coordination of diverse stakeholders, and resource management at the end ...

Keywords: Circular Economy, Construction Industry, Digitalization, Sustainability

A review on the Smartwatches as IoT Edge Devices: Assessing the end-users continuous usage intention using structural equation modelling

Udit Chawla , Hena Iqbal , Harsh Vikram Singh , Varsha Mishra , Sarabjot Singh , Vishal Choudhary
Pages 738-743

Abstract: The goal of this study is to identify people's intentions to use smartwatches and how their use of these devices is affected by the advantages and disadvantages of the IoT. For the research work, five cities were chosen, Delhi, Mumbai, Kolkata, and Chennai. These cities were chosen as a study ...

Keywords: Internet of things (IoT), Smartwatch, Benefits, Risks
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