Digital design and stability simulation for large underground powerhouse caverns with parametric model based on BIM-based framework

被引:19
作者
Li, Hui [1 ,2 ]
Chen, Wei-zhong [1 ]
Tan, Xian-jun [1 ]
Chen, En-yu [3 ]
机构
[1] Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] China Gezhouba Grp 3 Engn Co Ltd, Xian 710065, Peoples R China
基金
中国国家自然科学基金;
关键词
Building information modeling; Data conversion interface; Underground powerhouse; Automatic definition; Finite element analysis; SPLITTING FAILURE; INFORMATION; INFRASTRUCTURE; EXCAVATION; MANAGEMENT;
D O I
10.1016/j.tust.2022.104375
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Large infrastructures involving underground engineering like the underground powerhouse caverns constitute multi-medium, complicated and interaction systems, which require geotechnical data management, parametric model construction, optimal design alternatives, and real-time safety assessment. However, even though the data needed for numerical analysis is recorded in the Building Information Modeling (BIM) parametric models, the transformation of geometric characteristics between BIM and numerical models is cumbersome. Therefore, an automatic numerical simulation analysis framework was proposed, which can not only convert 3D parametric structural geometry model by indirect method, but also realize automatic pre-treatment and analysis, such as mechanical properties definition, boundary conditions assignment and mesh generation. In this study, the digital model of underground powerhouse caverns accompanying with cavern support system could be constructed automatically via secondary development on CATIA software. Reorganized borehole logs at geological profiles accompanying with topographic-geologic map are also used to define the 3D subsoil model. Python codes are programmed for pre-treatment of numerical model to enhance the calculation efficiency and alleviate the manual interventions by linking differ-format data files. Furthermore, a case study of Suki Kinari underground powerhouse caverns was exemplified the advantages of this framework in terms of modeling and pre-treatment efficiency, and error-free geometric information translation. The proposed framework provides a fundamental process for automatic design-to-analysis, hence mitigates user intervention and error-free structural calculation for design-making.
引用
收藏
页数:12
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