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A Spectral Stochastic Finite Element Method for Modal Analysis of structures with uncertain materials properties

机译:一种光谱随机有限元方法,用于含有不确定材料特性的结构模拟分析

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This paper deals with the eigenproblem associated with the free vibrations of structures with uncertain material properties. The elastic modulus of the structure is considered to be uncertain. Given their random description, a new method is presented for the computation of the second order statistics of the eigenproperties of the structure. The proposed technique is based on polynomial chaos decomposition to characterize the eigenvalues and eigenmodes of the stochastic structure. The random parameters of the structure are represented either by random variables or by stochastic processes which are descretized by Karhunen-Loeve decomposition. The eigen-quantities are then developed as a polynomial chaos in these quantities. The performance of the proposed algorithm indicates that the nonlinear systems from the underlying SSFEM formulation can be solved with considerably less effort and computation time than their size suggests. Comparisons with standard algorithms like Monte Carlo Simulation (MCS) illustrate the efficiency of the proposed algorithm. Numerical studies are also performed to validate the theoretical approach.
机译:本文涉及与具有不确定材料特性的结构的自由振动相关的特征问题。结构的弹性模量被认为是不确定的。鉴于它们随机描述,呈现了一种新方法,用于计算结构的特征优先级的二阶统计。所提出的技术基于多项式混沌分解,以表征随机结构的特征值和特征。结构的随机参数由随机变量或随机过程表示,这些过程由KarhUnen-Loeve分解解释。然后将特征量作为这些数量的多项式混沌开发。所提出的算法的性能表明,来自底层SSFEM制剂的非线性系统可以通过比其尺寸表达的努力和计算时间较低。与Monte Carlo仿真(MCS)等标准算法的比较说明了所提出的算法的效率。还执行数值研究以验证理论方法。

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