An intelligent inversion framework for soil parameters in deep excavations is established by using BIM technology, finite difference method (FDM), and nondominated sorting genetic algorithm II (NSGA-II). Firstly, a building information modeling-numerical (IMAGE)
Caption
An intelligent inversion framework for soil parameters in deep excavations is established by using BIM technology, finite difference method (FDM), and nondominated sorting genetic algorithm II (NSGA-II). Firstly, a building information modeling-numerical simulation (BIM-NS) integrated component is implemented based on a transformation interface, including geometric meshing processing and controlled script automated execution. Then, a back-analysis component based on NSGA-II optimization is attached to the BIM-NS processing to improve the accuracy of soil parameters. Subsequently, a framework of the building information modeling- numerical simulation-machine learning (BIM-NS-ML) integrated technology is established, enabling the usage of optimal soil parameters for automatic deep excavation simulation. Finally, the integrated framework is applied to a subway deep excavation project, which verifies that the proposed intelligent integrated framework can accurately identify soil parameters in an efficient manner.
Credit
Shu Jiang/Wuhan university, Ziqian Li/Wuhan university, Rongjun Zhang/Wuhan university, Junjie Zheng/Wuhan university, Shaoyan Zhou/Huazhong University of Science and Technology.
Usage Restrictions
Credit must be given to the creator.
License
CC BY