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Elastic Stress Predictor for Stochastic Finite Element Problems

机译:随机有限元问题的弹性应力预测器

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The paper presents a new algorithm of elastic stress predictor in non linear stochastic finite element method using the Generalized Polynomial Chaos. The statistical moments of strains calculated based on the displacement Polynomial Chaos expansion. To descretise the stochastic process of material the Karhunen-Loeve Expansion was used and it is presented. Using the strains and the material Karhunen-Loeve Expansion the stress components are calculated. A numerical example of shallow foundation was carried out and the results of stress and strain of the new algorithm were compared with those raised from Monte Carlo method which is treated as the exact solution. A great accuracy was presented.
机译:提出了一种利用广义多项式混沌的非线性随机有限元方法预测弹性应力的新算法。根据位移多项式混沌展开计算的应变统计矩。为了减少材料的随机过程,使用了Karhunen-Loeve扩展,并对其进行了介绍。使用应变和材料Karhunen-Loeve膨胀计算应力分量。进行了浅层地基的数值算例,并将新算法的应力和应变结果与蒙特卡罗方法的结果进行了比较,将其作为精确解。提出了很高的准确性。

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