This thesis deals with shape optimization for contact mechanics. More specifically, the linear elasticity model is considered under the small deformations hypothesis, and the elastic body is assumed to be in contact (sliding or with Tresca friction) with a rigid foundation. The mathematical formulations studied are two regularized versions of the original variational inequality: the penalty formulation and the augmented Lagrangian formulation. In order to get the shape derivatives associated to those two non-differentiable formulations, we suggest an approach based on directional derivatives. Especially, we derive sufficient conditions for the solution to be shape differentiable. This allows to develop a gradient-based topology optimization algorithm, built on these derivatives and a level-set representation of shapes. The algorithm also benefits from a mesh-cutting technique, which gives an explicit representation of the shape at each iteration, and enables to apply the boundary conditions strongly on the contact zone. The different steps of the method are detailed. Then, to validate the approach, some numerical results on two-dimensional and three-dimensional benchmarks are presented.
翻译:更具体地说,线性弹性模型是在小变形假设下考虑的,而弹性体则假定与僵硬基础接触(滑动或与Tresca摩擦),研究的数学配方是最初变异性不平等的两个正规版本:惩罚配方和增强的Lagrangian配方。为了获得与这两种无差别配方相关的形状衍生物,我们建议一种基于定向衍生物的方法。特别是,我们为该解决方案的形成提供了足够的条件,以便形成不同的方位。这样可以开发一种基于梯度的表层优化算法,以这些衍生物为基础,并形成一个定级形状的表示法。算法还得益于网状切除技术,在每一次迭代方上明确显示形状,并能够在接触区大力应用边界条件。该方法的不同步骤是详尽的。然后,为了验证该方法,提出了二维和三维基准的一些数字结果。