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A stochastic-deterministic coupling method for continuum mechanics

机译:连续力学的随机确定耦合方法

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In this paper, we present a novel approach that allows to couple a deterministic continuum model with a stochastic continuum one. The coupling strategy is performed in the Arlequin framework, which is based on a volume coupling and a partition of the energy. A suitable functional space is chosen for the weak enforcement of the continuity between the two models. The choice of this space ensures that the mean of the stochastic solution equals the deterministic solution point-wise, and enforces appropriate bound ary conditions on the stochastic dimension. The proof of the existence of the solution of the mixed prob lem is provided. The numerical strategy is also reviewed, in particular with a view at the Monte Carlo method. Finally, examples show the interest of the method, and possible strategies for use in adaptive modeling.
机译:在本文中,我们提出了一种新颖的方法,该方法允许将确定性连续模型与随机连续模型耦合。耦合策略在Arlequin框架中执行,该框架基于体积耦合和能量分配。选择适当的功能空间以弱化两个模型之间的连续性。选择此空间可确保随机解的平均值等于确定性点解,并在随机维上施加适当的边界条件。提供了混合问题解的存在性的证明。还对数字策略进行了审查,特别是从蒙特卡洛方法的角度进行了回顾。最后,示例显示了该方法的兴趣以及在自适应建模中使用的可能策略。

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