IFC-based semantic modeling of damaged RC beams using 3D point clouds

被引:13
作者
Shu, Jiangpeng [1 ,2 ]
Zhang, Congguang [1 ]
Yu, Ke [1 ,3 ]
Shooshtarian, Mohammed [4 ]
Liang, Peng [5 ]
机构
[1] Zhejiang Univ, Coll Civil Engn & Architecture, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China
[2] Zhejiang Univ, Ctr Balance Architecture, Hangzhou, Peoples R China
[3] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
[4] Univ San Francisco, Dept Engn, San Francisco, CA USA
[5] Changan Univ, Key Lab Bridge & Tunnel Shaanxi Prov, Xian, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
as-is BIM; crack and deformation extraction; FE analysis; IFC; point clouds;
D O I
10.1002/suco.202200273
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
It is important to assess existing reinforced concrete (RC) structures with damages. This task, however, is traditionally empirical and time-consuming. To improve assessment accuracy and efficiency, this study proposed an approach to semantic model damaged RC beams based on point clouds. A slice-based method for automatically modeling deformed beams and a color-based crack detection method were developed for generating building information modeling (BIM) and finite element (FE) models. Furthermore, to enhance structural assessment and decision-making by providing both damage and loading performance analysis data, a framework to extend the existing IFC standard was proposed for interoperability issues between FE models and BIM, aiming to integrate semantic-enrichment damages and FE analysis results in the as-is BIM model. Experiments were carried out on a simply supported RC beam subjected to a concentrated load. As a result, the improvement of the developed as-is BIM model for damage visualization and structural assessment was confirmed.
引用
收藏
页码:389 / 410
页数:22
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