Optimal control of a viscous damage model with fatigue

TL;DR

This paper develops an optimal control framework for a complex, non-smooth viscous damage model with fatigue, proving differentiability and deriving strong optimality conditions for systems with non-differentiable mappings.

Contribution

It introduces a novel approach to handle non-smooth, history-dependent damage models in optimal control, including proving directional differentiability and deriving strong optimality conditions.

Findings

Proved directional differentiability of the solution mapping.

Derived an optimality system stronger than classical smoothening methods.

Established strong stationary optimality conditions for the model.

Abstract

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.