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随机杆系结构几何非线性分析的递推求解方法
引用本文:黄斌,索建臣,毛文筠.随机杆系结构几何非线性分析的递推求解方法[J].力学学报,2007,39(6):835-842.
作者姓名:黄斌  索建臣  毛文筠
作者单位:武汉理工大学土木工程与建筑学院,430070 武汉理工大学土木工程与建筑学院,430070 自贡四川理工学院建工系,643000
摘    要:建立了随机静力作用下考虑几何非线性的随机杆系结构的随机非线性平衡方程. 将和 位移耦合的随机割线弹性模量以及随机响应量表示为非正交多项式展开式,运用传统的摄动方法获 得了关于非正交多项式展式的待定系数的确定性的递推方程. 在求解了待定系数后,利用非 正交多项式展开式和正交多项式展开式的关系矩阵,可以很方便地得到未知响应量的二阶统计矩. 两杆结构和平面桁架拱的算例结果表明,当随机量涨落较大时,递推随机有限元方法比基于 二阶泰勒展开的摄动随机有限元方法更逼近蒙特卡洛模拟结果,显示了该方法对几何非线性 随机问题求解的有效性.

关 键 词:随机杆系结构  几何非线性  递推随机有限元方法  非正交多项式展开式  二阶泰勒展开
文章编号:0459-1879(2007)06-0835-08
收稿时间:2007-04-03
修稿时间:2007-04-03

GEOMETRICAL NONLINEAR ANALYSIS OF TRUSS STRUCTURES WITH RANDOM PARAMETERS UTILIZING RECURSIVE STOCHASTIC FINITE ELEMENT METHOD
Huang Bin,Suo Jianchen,Mao Wenjun.GEOMETRICAL NONLINEAR ANALYSIS OF TRUSS STRUCTURES WITH RANDOM PARAMETERS UTILIZING RECURSIVE STOCHASTIC FINITE ELEMENT METHOD[J].chinese journal of theoretical and applied mechanics,2007,39(6):835-842.
Authors:Huang Bin  Suo Jianchen  Mao Wenjun
Institution:1.School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China;2.Department of Civil Engineering , Sichuan University of Science and Engineering, Zigong 643000, China
Abstract:Geometrical nonlinear analysis of truss structures with random parameters is carried out using a new stochastic finite element method that is called as recursive stochastic finite element method in this paper. Combining nonorthogonal polynomial expansion and perturbation technique, RSFEM has been successfully used to solve static linear elastic problems, eigenvalue problems and elastic buckling problems. Although such method is similar in form to traditional the second order perturbation stochastic finite element method, it can deal with mechanical problems involving random variables of relatively large fluctuation levels. Different from spectral stochastic finite element method utilized widely that transforms the random different equation into a large deterministic equation through projecting the unkown random variables into a set of orthogonal polynomial bases, the new method is more suitable for solving large dimensional random mechanical problem because of recursive solution method. The structural response can be explicitly expressed by using some mathematical operators defined to transform the random different equation into a series of same dimensional deterministic equations. And more important point is that the above advantages of this presented method make it more helpful for solving static nonlinear problem than SSFEM. In the present paper, the stochastic equilibrium equation of geometrical nonlinear analysis of random truss structures under static load is firstly set up. Apart from that the random loads and the random area parameters are expanded using the first order Taylor series, both of the modulus and structural responses are expressed using nonorthogonal polynomial expansions. Then a set of deterministic recursive equations is obtained utilizing perturbation method. Transposition technique is given for solving the equations containing unknown coefficients according to operation rule of matrix and characteristics of truss structures. After the unknown coefficients are gotten, the second statistic moment can be easily obtained according to relationship matrix between orthogonal and nonorthogonal polynomial expansions. In examples, the geometrical nonlinear analysis of a two bar structure and a plane truss arch are investigated. The numerical results show that compared with traditional perturbation stochastic FEM based on the second Taylor series, the results obtained using the new method are more close to that of Monte-Carlo simulation when fluctuation of random variables becomes large. The interesting thing is that in the static geometrical nonlinear problem, when the second order perturbation stochastic finite element method is utilized, the divergence trend of the structural response also appears along with the increase of standard deviation of random cross sectional areas. However, this phenomenon disappears when the fourth order RSFEM is used to solve this problem. In the end, some significant conclusions are obtained.
Keywords:truss structures with random parameters  geometrical nonlinear  recursive stochastic finite element method  perturbation stochastic finite element method  the second Taylor series
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