含疲劳的粘性双场损伤模型的最优控制

Livia M. Betz
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引用次数: 1

摘要

在疲劳损伤模型的激励下,研究了具有两个不可微映射的非光滑系统的最优控制问题。这包括双重非光滑历史依赖演化和椭圆偏微分方程之间的耦合。在证明了关联解映射的方向可微性后,得到了一个比经典平滑方法得到的最优性系统更强的最优性系统。如果其中一个不可微映射变为光滑,则其最优性条件为强平稳型,即等价于原必要最优性条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Control of a Viscous Two-Field Damage Model with Fatigue
Motivated by fatigue damage models, this paper addresses optimal control problems governed by a non-smooth system featuring two non-differentiable mappings. This consists of a coupling between a doubly non-smooth history-dependent evolution and an elliptic PDE. After proving the directional differentiability of the associated solution mapping, an optimality system which is stronger than the one obtained by classical smoothening procedures is derived. If one of the non-differentiable mappings becomes smooth, the optimality conditions are of strong stationary type, i.e., equivalent to the primal necessary optimality condition.
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