In this paper, the basic stochastic FEM equations are developed and used to analyse the raliabity of a motorbike frame structure.
推导了随机有限元的基本方程并编制了计算机程序。
In order to decrease the computation, a reduction form is deduced to get the response of random multi-variables from single variable, and verified by Monte-Carlo stochastic FEM.
为了减少在多随机变量情况下的该方法的计算量，建立了一种简化算法，推导出利用单随机变量的响应结果构造多随机变量的响应。算例验证其有有效性。
An improved MonteCarlo stochastic FEM based on polynomial preconditioners is established through introduction of the conjugate gradients method into the traditional MonteCarlo stochastic FEM.
将共轭梯度法引入蒙特卡洛随机有限元法，建立基于多项式预处理共轭梯度法的蒙特卡洛随机有限元方法。
An improved MonteCarlo stochastic FEM based on polynomial preconditioners is established through introduction of the conjugate gradients method into the traditional MonteCarlo stochastic FEM.
将共轭梯度法引入蒙特卡洛随机有限元法，建立基于多项式预处理共轭梯度法的蒙特卡洛随机有限元方法。
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