Structure deformation analysis of the deep excavation based on the local radial basis function collocation method

被引:0
|
作者
Deng, Cheng [1 ,2 ]
Zheng, Hui [1 ]
Zhang, Rongping [2 ]
Gong, Liangyong [2 ]
Zheng, Xiangcou [3 ]
机构
[1] Nanchang Univ, Sch Infrastruct Engn, Nanchang 330031, Peoples R China
[2] Zhongheng Construct Grp Co Ltd, Nanchang 330200, Peoples R China
[3] Cent South Univ, Sch Civil Engn, Changsha 410075, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Radial basis function; Deep excavation; Elastic-plasticity; Incremental theory; Collocation method; WAVE PROPAGATION ANALYSIS; DATA APPROXIMATION SCHEME; MULTIQUADRICS; CONCRETE;
D O I
10.1016/j.camwa.2024.10.014
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This study introduces a local radial basis function collocation method (LRBFCM) to analyzing structural deformation in deep excavation within a two dimensional geotechnical model. To mitigate the size effect caused by a large length-to-width ratio, a technique known as the 'direct method' is employed. This method effectively reduces the influence of the shape parameter, thereby improving the accuracy of the partial derivative calculations in LRBFCM. The combination of LRBFCM with the direct method is applied to the deep excavation problem, which consists of both the soil and support structures. The soil is modeled using the Drucker-Prager (D-P) elastic-plastic model, while an elastic model is employed for the support structure. Elastic-plastic discretization is performed using incremental theory. The proposed approach is validated through four different examples, comparing the results with numerical solutions obtained from traditional finite element methods (FEM). This study advocates the use of the direct method to optimize the distribution of local influence nodes, particularly in cases involving large length-to-width ratios. The combination of LRBFCM with incremental theory is shown to be effective for addressing elastic-plastic problems.
引用
收藏
页码:495 / 509
页数:15
相关论文
共 50 条
  • [41] Finite subdomain radial basis collocation method
    Fuyun Chu
    Lihua Wang
    Zheng Zhong
    Computational Mechanics, 2014, 54 : 235 - 254
  • [42] Mesh deformation based on radial basis function interpolation
    de Boer, A.
    van der Schoot, M. S.
    Bijl, H.
    COMPUTERS & STRUCTURES, 2007, 85 (11-14) : 784 - 795
  • [43] Finite subdomain radial basis collocation method
    Chu, Fuyun
    Wang, Lihua
    Zhong, Zheng
    COMPUTATIONAL MECHANICS, 2014, 54 (02) : 235 - 254
  • [44] Explicit radial basis function collocation method for computing shallow water flows
    Chaabelasri, Elmiloud
    Jeyar, Mohammed
    Borthwick, Alistair G. L.
    SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2018), 2019, 148 : 361 - 370
  • [45] A multidomain integrated-radial-basis-function collocation method for elliptic problems
    Mai-Duy, N.
    Tran-Cong, T.
    NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2008, 24 (05) : 1301 - 1320
  • [46] A novel node collocation technique in radial basis function collocation method applied to neutron diffusion equations
    Luo, Yiyang
    Gui, Nan
    Zhang, Shen
    Yang, Xingtuan
    Tu, Jiyuan
    Jiang, Shengyao
    Liu, Zhiyong
    ANNALS OF NUCLEAR ENERGY, 2025, 213
  • [47] Meshfree direct and indirect local radial basis function collocation formulations for transport phenomena
    Sarler, B
    Tran-Cong, T
    Chen, CS
    BOUNDARY ELEMENTS XXVII: INCORPORATING ELECTRICAL ENGINEERING AND ELECTROMAGNETICS, 2005, 39 : 417 - 427
  • [48] A new method of deformation monitoring for support structure of deep excavation
    Department of Jiaotong Engineering, Shijiazhuang Railway Institute, Shijiazhuang 050043, China
    Yanshilixue Yu Gongcheng Xuebao, 1600, 2 (252-255):
  • [49] Radial basis function collocation method solution of natural convection in porous media
    Sarler, B
    Perko, J
    Chen, CS
    INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW, 2004, 14 (02) : 187 - 212
  • [50] The Quasi-Optimal Radial Basis Function Collocation Method: A Technical Note
    Zhang, Juan
    Sun, Mei
    Hou, Enran
    Ma, Zhaoxing
    JOURNAL OF MATHEMATICS, 2021, 2021