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Development of a building information model-guided post-earthquake building inspection framework using 3D synthetic environments

引用

Earthquake Engineering and Engineering Vibration 2023年第2期22卷 279-307页

作者： Nathaniel M.Levine Yasutaka Narazaki Billie F.Spencer Department of Civil and Environmental Engineering University of Illinois at Urbana-ChampaignUrbanaIllinois 61801USA Zhejiang University-University of Illinois at Urbana-Champaign Institute Zhejiang UniversityHaining 314400China

Computer vision-based inspection methods show promise for automating post-earthquake building *** methods survey a building with unmanned aerial vehicles and automatically detect damage in the collected ***,assessing the damage′s impact on structural safety requires localizing damage to specific building components with known design and *** paper proposes a BIM-based automated inspection framework to provide context for visual surveys.A deep learning-based semantic segmentation algorithm is trained to automatically identify damage in *** BIM automatically associates any identified damage with specific building ***,components are classified into damage states consistent with component fragility models for integration with a structural *** demonstrate the framework,methods are developed to photorealistically simulate severe structural damage in a synthetic computer graphics environment.A graphics model of a real building in Urbana,Illinois,is generated to test the framework;the model is integrated with a structural analysis to apply earthquake damage in a physically realistic manner.A simulated UAV survey is flown of the graphics model and the framework is *** method achieves high accuracy in assigning damage states to visible structural *** assignment enables integration with a performance-based earthquake assessment to classify building safety.

关键词： computer vision earthquake engineering building information model physics-based graphics model synthetic environment

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