A novel hybrid framework based on modified continued-fraction for pile-soil dynamic interaction of large-scale nuclear power structures

被引:1
|
作者
Li, Jianbo [1 ,2 ]
Hou, Hongwei [1 ,2 ]
Li, Zhiyuan [3 ]
Lin, Gao [1 ,2 ]
机构
[1] Dalian Univ Technol, State Key Lab Coast & Offshore Engn, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Inst Earthquake Engn, Dalian 116024, Peoples R China
[3] China Inst Water Resources & Hydropower Res, Earthquake Engn Res Ctr, Beijing 100038, Peoples R China
关键词
Dynamic soil-structure interaction; FEM-SBFEM; Continued-fraction; Nuclear power structure; Pile-raft foundation; COUPLED FEM-SBFEM; ORDER TRANSMITTING BOUNDARY; EQUIVALENT-LINEAR METHOD; LAYERED UNBOUNDED MEDIA; FINITE-ELEMENT-METHOD; WAVE-PROPAGATION; DOMAIN ANALYSIS; SSI ANALYSIS; SEISMIC SSI; FOUNDATION;
D O I
10.1016/j.compgeo.2024.106571
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Accurate unbounded domain radiation damping and ground motion input in the near field are important for analyzing the dynamic safety of large-scale nuclear power structures (NPSs). The scaled boundary finite element method (SBFEM) can automatically satisfy the abovementioned radiation condition. However, owing to the coupling of time and space, conventional SBFEM is not competent to the analysis of large-scale structures. In this investigation, a novel coupled method is developed to improve the computational efficiency of unbounded domain dynamic stiffness using a modified continued-fraction technique. Furthermore, a set of systematic and efficient computational procedures for soil-structure interaction (SSI) are implemented based on parallel programming using a special preprocess. The proposed method is verified using three numerical examples, and another numerical application is analyzed for large-scale NPSs with a pile-raft foundation (PRF). The results show that the innovative method has wide engineering applicability with high numerical accuracy and stability, indicating that this method can be applied to the SSI dynamic seismic analysis of large-scale NPSs.
引用
收藏
页数:16
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