Publications / 2017 Proceedings of the 34rd ISARC, Taipei, Taiwan

Dimensional Variability Analysis of Construction Assemblies Using Kinematics Chains and Building Information Models

Mohammad Nahangi, Christopher Rausch, Carl Haas and Jeffrey West
Pages 45-50 (2017 Proceedings of the 34rd ISARC, Taipei, Taiwan, ISBN 978-80-263-1371-7, ISSN 2413-5844)
Abstract:

Design optimization frameworks used in manufacturing can be adopted into construction to solve complex and relatively unsolved challenges, as recent construction methods progressively incorporate more manufacturing aspects. For example, the specification and dimensional control for compliance checking of construction components can be solved using tools existing in manufacturing. Even building information models (BIM) assist with clash detection for identifying potential dimensional problems, or the tolerances can control critical features in an assembly, dimensional variability remains a complex challenge to address in construction. This paper explores the use of a dimensional variation analysis (DVA), which is originally developed in the manufacturing industry as a design optimization tool. This paper presents a DVA approach which is based on kinematics theory in robotics to define the assembly equation (how various parts of a component are related to each other mathematically). An as-designed (model-based) DVA is validated through conducting a case study. Results show that the method is capable in determining variabilities between the designed and fabricated states with a reasonable level of accuracy.

Keywords: Local feature descriptors, hashing, hash table, RANSAC, 3D object recognition, clutter, laser scanning