A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Digital design and stability simulation for large underground powerhouse caverns with parametric model based on BIM-based framework
Highlights Parametric caverns modeling through BIM reduces the redundant modeling process. Geometric information translation and automatic pre-treatment constitute the foundation of simulation analysis. A Python code is used for increased calculation efficiency and reduced human effort. Combination analysis provides a powerful application to safety assessment and design alternative.
Abstract 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.
Digital design and stability simulation for large underground powerhouse caverns with parametric model based on BIM-based framework
Highlights Parametric caverns modeling through BIM reduces the redundant modeling process. Geometric information translation and automatic pre-treatment constitute the foundation of simulation analysis. A Python code is used for increased calculation efficiency and reduced human effort. Combination analysis provides a powerful application to safety assessment and design alternative.
Abstract 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.
Digital design and stability simulation for large underground powerhouse caverns with parametric model based on BIM-based framework
Li, Hui (author) / Chen, Wei-zhong (author) / Tan, Xian-jun (author) / Chen, En-yu (author)
2022-01-07
Article (Journal)
Electronic Resource
English
Flowchart of DEM Modeling Stability Analysis of Large Underground Powerhouse Caverns
| DOAJ | 2020
Advancements in Design and Construction of Underground Powerhouse Caverns
| British Library Conference Proceedings | 1999
Dynamic Response Characteristics of Underground Powerhouse Caverns for Sandaowan Hydropower Station
| Trans Tech Publications | 2011
Design approaches for large underground caverns
| British Library Conference Proceedings | 1997