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Stochastic finite elements of discretely parameterized random systems on domains with boundary uncertainty

机译:边界不确定域上离散参数化随机系统的随机有限元

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摘要

The problem of representing random fields describing the material and boundary properties of the physical system at discrete points of the spatial domain is studied in the context of linear stochastic finite element method. A randomly parameterized diffusion system with a set of independent identically distributed stochastic variables is considered. The discretized parametric fields are interpolated within each element with multidimensional Lagrange polynomials and integrated into the weak formulation. The proposed discretized random-field representation has been utilized to express the random fluctuations of the domain boundary with nodal position coordinates and a set of random variables. The description of the boundary perturbation has been incorporated into the weak stochastic finite element formulation using a stochastic isoparametric mapping of the random domain to a deterministic master domain. A method for obtaining the linear system of equations under the proposed mapping using generic finite element weak formulation and the stochastic spectral Galerkin framework is studied in detail. The treatment presents a unified way of handling the parametric uncertainty and random boundary fluctuations for dynamic systems. The convergence behavior of the proposed methodologies has been demonstrated with numerical examples to establish the validity of the numerical scheme.
机译:在线性随机有限元方法的背景下,研究了在空间域的离散点上表示描述物理系统的材料和边界属性的随机场的问题。考虑具有一组独立的相同分布的随机变量的随机参数化扩散系统。离散参量场通过多维Lagrange多项式内插到每个元素中,并集成到弱公式中。所提出的离散化随机场表示已被用于表达具有节点位置坐标和一组随机变量的域边界的随机波动。使用随机域到确定性主域的随机等参映射,将边界摄动的描述并入了弱随机有限元公式中。详细研究了一种使用通用有限元弱公式和随机谱Galerkin框架在拟议的映射下获得方程线性系统的方法。该处理方法为处理动态系统的参数不确定性和随机边界波动提供了统一的方法。通过数值算例证明了所提出方法的收敛性,以建立数值方案的有效性。

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