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Preparation of Synthetic As-Damaged Models for Post-Earthquake BIM Reconstruction Research

Ma, Ling, Sacks, Rafael, Zeibak-Shini, Reem, Aryal, Ashrant and Filin, Sagi (2016) Preparation of Synthetic As-Damaged Models for Post-Earthquake BIM Reconstruction Research. Journal of Computing in Civil Engineering, 30 (3). 04015032. ISSN 0887-3801

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Abstract

Post-earthquake operations, such as search and rescue and damage assessment, require efficient and effective surveying technologies to rapidly capture the “as-damaged” state of buildings. Recent research has shown early feasibility of methods for compilation of as-damaged building information models (BIM) from as-damaged point cloud data and “as-built” models. Yet research efforts to develop and rigorously test appropriate methods are seriously hampered by the obvious scarcity of access for researchers to earthquake-damaged buildings for surveying specimens and hence the lack of terrestrial laser scanning data of post-earthquake buildings. Full-scale or reduced-scale physical models of building components can be built and damaged using a shaking table or other structural laboratory equipment, and these can be scanned, all at reasonable cost. However, equivalent full-scale building samples are unavailable. The solution is to synthesize accurate and representative data sets. A computational approach for compiling such data sets, including BIM modeling of damaged buildings and synthetic scan generation, is proposed. The approach was validated experimentally through compilation of two full-scale models of buildings damaged in earthquakes in Turkey

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Art, Design and Architecture
Related URLs:
Depositing User: Sharon Beastall
Date Deposited: 01 Mar 2017 13:53
Last Modified: 01 Mar 2017 13:53
URI: http://eprints.hud.ac.uk/id/eprint/31381

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