论文标题

非线性弹性和用于钢筋混凝土构件的随机Galerkin有限元法

Stochastic Galerkin finite element method for nonlinear elasticity and application to reinforced concrete members

论文作者

Ghavami, Mohammad S., Sousedík, Bedřich, Dabbagh, Hooshang, Ahmadnasab, Morad

论文摘要

我们为非线性弹性开发了一种随机的Galerkin有限元方法,并将其应用于具有随机材料特性的钢筋混凝土构件。该策略基于修改后的牛顿 - 拉夫森方法,该方法由增量加载过程和在每个负载增量上应用的线性化方案组成。我们认为材料特性是由所谓的广义多项式混乱(GPC)框架中的随机扩展给出的。我们搜索位移的GPC扩展,然后将其用于更新应力,应变和内部力的GPC扩展。所提出的方法应用于具有不确定的弹性初始混凝土模量的钢筋混凝土束和具有混凝土最大压缩应力的剪切壁,并将结果与​​随机搭配和蒙特卡洛方法的结果进行比较。由于使用随机Galerkin方法在线性化方案中获得的方程系统非常大,并且通常有许多负载增量,因此我们还使用了预处理的共轭梯度研究了迭代溶液。一组数值实验说明了所提出方法的效率。

We develop a stochastic Galerkin finite element method for nonlinear elasticity and apply it to reinforced concrete members with random material properties. The strategy is based on the modified Newton-Raphson method, which consists of an incremental loading process and a linearization scheme applied at each load increment. We consider that the material properties are given by a stochastic expansion in the so-called generalized polynomial chaos (gPC) framework. We search the gPC expansion of the displacement, which is then used to update the gPC expansions of the stress, strain and internal forces. The proposed method is applied to a reinforced concrete beam with uncertain initial concrete modulus of elasticity and a shear wall with uncertain maximum compressive stress of concrete, and the results are compared to those of stochastic collocation and Monte Carlo methods. Since the systems of equations obtained in the linearization scheme using the stochastic Galerkin method are very large, and there are typically many load increments, we also studied iterative solution using preconditioned conjugate gradients. The efficiency of the proposed method is illustrated by a set of numerical experiments.

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