多速率积分中迭代feti求解器Krylov子空间的完全重用

Andrea Seibold, D. Rixen, Javier Del Fresno Zarza
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摘要

并行feti求解器中Krylov子空间的循环技术能够提高具有重复右手边的求解过程的效率。一种简单的技术是对以前问题求解过程中产生的共轭方向提供的Krylov子空间(TRKS)进行完全重用。这尤其适用于线性结构动力学,循环也减少了非线性结构动力学的全局迭代。接口操作符的特征值的结构决定了可能的效率增益。只有足够早地捕获高聚类特征值,才能相应地减少全局FETI迭代。除了这些进步之外,还提出了多速率积分器,它可以在每个子结构上实现自适应的时间步长,并有望加速具有局部高度非线性过程(例如损伤)的非线性动态模拟的并行模拟。在线性bgc -宏方法和非线性ph -方法的基础上,提出了一种非线性bgc -宏方法,并根据变分原理推导出了一种更灵活、更精确的多速率积分器。这些多速率积分方案在每次全局迭代中需要多个局部积分步骤,导致线性化局部问题的非对称结构,并且与标准单速率积分的fei相比,局部边界条件发生了变化。因此,我们必须用gms求解器来解决全局接口问题。在这篇文章中,我们展示了我们最近关于特征值和TRKS在这些新问题中的应用的结果。
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On Total Reuse of Krylov Subspaces for an iterative FETI-solver in multirate integration
Recycling techniques for Krylov subspaces in parallel FETI-solvers are able to increase efficiency of solution processes with repeated right-hand-sides. One simple technique consists in a Total Reuse of the Krylov Subspace (TRKS) provided by conjugate directions generated during the solution of previous problems. This applies especially for linear structural dynamics and recycling also reduced global iterations for nonlinear structural dynamics. The structure of the interface-operator's eigenvalues governs the possible efficiency-gain. Only if high clustered eigenvalues are captured early enough, global FETI iterations will be reduced accordingly. Besides these advances, multirate integrators have been proposed, that enable adapted time-step-sizes on each substructure and are expected to accelerate the parallel simulation of nonlinear dynamic simulations with local highly nonlinear processes, e.g. damaging. Based on the linear BGC-macro and nonlinear PH-method, a nonlinear BGC-macro method has been proposed and on the other hand a more flexible and accurate multirate-integrator has been derived from the variational principle. These multirate-integration schemes require several local integration-steps in each global iteration, leading to a non-symmetric structure of the linearized local problems and the local boundary conditions are altered compared to FETI for standard singlerate integration. So, we have to solve the global interface-problem with a GMRes-solver. In this contribution, we show our recent results on the eigenvalues and application of a TRKS to these new problems.
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