Least Squares Stochastic Finite Element Method in Structural Stability Analysis of Steel Skeletal Structures

被引:0
作者
Kaminski, Marcin [1 ]
Szafran, Jacek [1 ]
机构
[1] Fac Civil Engn Architecture & Environm Engn, Dept Struct Mech, Chair Struct Reliabil, Al Politechn 6, PL-90924 Lodz, Poland
来源
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2015年 / 107卷 / 01期
关键词
Least Squares Method; Stochastic Finite Element Method; generalized stochastic perturbation technique; stability problems; steel skeletal structures; semi-analytical method; Monte-Carlo simulation; RELIABILITY-ANALYSIS;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Basic probabilistic characteristics and reliability indices of critical forces for high steel skeletal towers are numerically modeled by using the Stochastic, perturbation-based Finite Element Method. It is implemented together with the Weighted Least Squares Method and compared with the Monte-Carlo simulation as well as with the semi-analytical Probabilistic FEM. The Finite Element Method solution to the stability problem for a full 3D model of a tower accounts for both first and second order effects known from the engineering codes as the so-called P-delta effect. Two different Gaussian input random variables are adopted here Young modulus of steel as well as principal structural elements thickness to compare an influence of the material versus the geometrical uncertainty on the overall structural response. The numerical analysis has been carried out with a combination of the FEM engineering program with symbolic algebra software providing WLSM approximation, probabilistic simulation, integration, as well as for the general order Taylor expansion procedures. The reliability indices related to the stability problem are calculated using both the First and the Second Order Reliability Methods and they showed safety margins for the telecommunication towers.
引用
收藏
页码:27 / 57
页数:31
相关论文
共 50 条
  • [11] On sequentially coupled thermo-elastic stochastic finite element analysis of the steel skeletal towers exposed to fire
    Kaminski, Marcin
    Strakowski, Michal
    EUROPEAN JOURNAL OF MECHANICS A-SOLIDS, 2017, 62 : 80 - 93
  • [12] Efficient structural reliability analysis via a weak-intrusive stochastic finite element method
    Zheng, Zhibao
    Dai, Hongzhe
    Beer, Michael
    PROBABILISTIC ENGINEERING MECHANICS, 2023, 71
  • [13] A least-squares coupling method between a finite element code and a discrete element code
    Christian, Mariotti
    Francoise, Le Piver
    Ludovic, Aubry
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2015, 101 (10) : 731 - 743
  • [14] Analysis of stability and reliability of bedding rock slope by stochastic finite element method
    Gao Rong-xiong
    Gong Wen-hui
    Wang Yuan-han
    Wang Hua-bin
    ROCK AND SOIL MECHANICS, 2009, 30 (04) : 1165 - 1169
  • [15] Stochastic Finite Element Analysis of Shear-Critical Concrete Structures
    Hunter, Mark D.
    Ferche, Anca C.
    Vecchio, Frank J.
    ACI STRUCTURAL JOURNAL, 2021, 118 (03) : 71 - 83
  • [16] LEAST-SQUARES MIXED FINITE ELEMENT METHOD FOR SADDLE-POINT PROBLEM
    Lie-heng Wang
    Huo-yuan Duan (LSEC
    Journal of Computational Mathematics, 2000, (04) : 353 - 364
  • [17] Least-squares finite element method for the simulation of sea-ice motion
    Bertrand, Fleurianne
    Schneider, Henrik
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2024, 175 : 38 - 46
  • [18] A discontinuous least squares finite element method for time-harmonic Maxwell equations
    Li, Ruo
    Liu, Qicheng
    Yang, Fanyi
    IMA JOURNAL OF NUMERICAL ANALYSIS, 2022, 42 (01) : 817 - 839
  • [19] Least-squares mixed finite element method for saddle-point problem
    Wang, LH
    Duan, HY
    JOURNAL OF COMPUTATIONAL MATHEMATICS, 2000, 18 (04) : 353 - 364
  • [20] Application of stochastic finite element method to optimal design of structures
    Lee, BW
    Lim, OK
    COMPUTERS & STRUCTURES, 1998, 68 (05) : 491 - 497