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Parallel solution of contact shape optimization problems with Coulomb friction based on domain decomposition

机译:基于区域分解的库仑摩擦接触形状优化问题的并行求解

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We shall first briefly review the FETI based domain decomposition methodology adapted to the solution of multibody contact problems in 3D with Coulomb friction. These problems play a role of the state problem in contact shape optimization problems with Coulomb friction. We use a modification of FETI that we call Total FETI, which imposes not only the compatibility of a solution across the subdomain interfaces, but also the prescribed displacements. For solving a state problem we use the method of successive approximations. Each iterative step of the method requires us to solve the contact problem with Tresca friction. The discretized problem with Coulomb friction has a unique solution for small coefficients of friction. The uniqueness of the equilibria for fixed controls enables us to apply the so-called implicit programming approach. Its main idea consists in minimization of a nonsmooth composite function generated by the objective and the control-state mapping. The implicit programming approach combined with the differential calculus of Clarke was used for a discretized problem of 2D shape optimization. There is no possibility to extend the same approach to the 3D case. The main problem is the nonpoly hedral character of the second-order cone, arising in the 3D model. To get subgradient information needed in the used numerical method we use the differential calculus of Mordukhovich. Application of the Total FETI method to the solution of the state problem and sensitivity analysis allows massively parallel solution of these problems and stable identification of rigid body modes which are a priori known. The effectiveness of our approach is demonstrated by numerical experiments.
机译:我们将首先简要回顾一下基于FETI的域分解方法,该方法适用于库仑摩擦3D中多体接触问题的解决。这些问题在库仑摩擦的接触形状优化问题中起着状态问题的作用。我们使用FETI的一种修改,称为Total FETI,它不仅强加了整个子域接口的解决方案的兼容性,而且强加了规定的位移。为了解决状态问题,我们使用逐次逼近法。该方法的每个迭代步骤都需要我们解决与Tresca摩擦的接触问题。库仑摩擦的离散问题对于较小的摩擦系数具有独特的解决方案。固定控件平衡的独特性使我们能够应用所谓的隐式编程方法。其主要思想在于最小化由目标和控制状态映射生成的非平滑复合函数。隐式编程方法与Clarke的微分算法相结合,被用于二维形状优化的离散化问题。无法将相同的方法扩展到3D情况。主要问题是在3D模型中出现的二阶圆锥的非多边形多面体特征。为了获得所使用的数值方法所需的次梯度信息,我们使用了Mordukhovich的微分法。将总FETI方法应用于状态问题和灵敏度分析的解决方案可以大规模并行解决这些问题,并且可以稳定地识别先验已知的刚体模式。数值实验证明了我们方法的有效性。

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