Publications / 2020 Proceedings of the 37th ISARC, Kitakyushu, Japan

Automatized Parametric Modeling to Enhance a data-based Maintenance Process for Infrastructure Buildings

Robert Hartung, Robin Schönbach, Dominic Liepe and Katharina Klemt-Albert
Pages 264-271 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7, ISSN 2413-5844)
Abstract:

New innovative and digital approaches, in particular digital methods like Building Information Modeling (BIM), are being used more and more in the Architecture, Engineering and Construction (AEC) Sector. However, most of building operation and maintenance processes still follow conventional processes and are hardly supported by digital databases. Within the widespread field of different infrastructure systems, the railway sector specifically brings a lot of rather old structures and components, which need intense service across their entire lifecycle. Research at Leibniz Universität Hannover explores a fundamental concept for digitally supported maintenance of railway infrastructure to enhance availability, reliability and provide a structured database for the involved stakeholders. Therefore, required methods and processes need to be defined and harmonized for different perspectives like infrastructure operators, monitoring service providers and supervising authorities. Based on digital models, a new approach for a holistic infrastructure management will be introduced and furthermore validated by using a reference project as demonstrator. The paper focuses on the organization, structure and needed level of information within digital models. Further ways of automatization in creation of such models are examined. In conclusion, the risk of damage or breakdown will be reduced and maintenance processes can be initiated on a data-driven basis. By means of this approach, it is possible to change the way from a reactive maintenance processes to efficient repair works in an early stage of damage.

Keywords: Building Information Modeling; Structural Health Monitoring; shBIM; Digital Maintenance