Ma, L;
Sacks, R;
Zeibak-Shini, R;
Aryal, A;
Filin, S;
(2016)
Preparation of Synthetic As-Damaged Models for Post-Earthquake BIM Reconstruction Research.
Journal of Computing in Civil Engineering
, 30
(3)
10.1061/(ASCE)CP.1943-5487.0000500.
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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.
Type: | Article |
---|---|
Title: | Preparation of Synthetic As-Damaged Models for Post-Earthquake BIM Reconstruction Research |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1061/(ASCE)CP.1943-5487.0000500 |
Publisher version: | https://doi.org/10.1061/(ASCE)CP.1943-5487.0000500 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Engineering, Civil, Computer Science, Engineering, Building information modeling, Earthquake damage, Damaged building, Experimental dataset, Laser scanning emulator, Synthetic point clouds, PERFORMANCE |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/10069572 |
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