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

Ling Ma, Rafael Sacks, Reem Zeibak-Shini, Ashrant Aryal, Sagi Filin

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number04015032
JournalJournal of Computing in Civil Engineering
Issue number3
StatePublished - 2016


  • Building information modeling
  • Damaged building
  • Earthquake damage
  • Experimental dataset
  • Laser scanning emulator
  • Synthetic point clouds

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications


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