Microstructural Stress Shape Optimization Using the Level Set Method

2020 ◽  
Vol 142 (11) ◽  
Author(s):  
Renato Picelli ◽  
Scott Townsend ◽  
H. Alicia Kim

Abstract This paper applies stress-based shape optimization to microstructures, a scarcely explored topic in the literature. As the actual stresses arising at the macroscopic structure are scale separated, the microstrucural stress is considered herein as the state of a representative volume element (RVE) after applying test unit strain load cases, not related to the macroscale loads. The three stress states in 2D are aggregated via p-norm functions, which are used for stress minimization. A stress-based level set method is applied. The method linearizes the objective and constraint functions and solves an optimization problem at every iteration to obtain the boundary velocities. The Ersatz material approach is used to compute the stiffness of the elements sliced by the boundary. A single hole inclusion microstructure is optimized for minimum stress in order to verify the methodology.

2011 ◽  
Vol 21 (04) ◽  
pp. 619-649 ◽  
Author(s):  
Martin Burger ◽  
Norayr Matevosyan ◽  
Marie-Therese Wolfram

In this paper, we construct a level set method for an elliptic obstacle problem, which can be reformulated as a shape optimization problem. We provide a detailed shape sensitivity analysis for this reformulation and a stability result for the shape Hessian at the optimal shape.Using the shape sensitivities, we construct a geometric gradient flow, which can be realized in the context of level set methods. We prove the convergence of the gradient flow to an optimal shape and provide a complete analysis of the level set method in terms of viscosity solutions. To our knowledge this is the first complete analysis of a level set method for a nonlocal shape optimization problem.Finally, we discuss the implementation of the methods and illustrate its behavior through several computational experiments.


2017 ◽  
Vol 25 (5) ◽  
pp. 573-595 ◽  
Author(s):  
Amel Ben Abda ◽  
Emna Jaïem ◽  
Sinda Khalfallah ◽  
Abdelmalek Zine

AbstractThe aim of this work is an analysis of some geometrical inverse problems related to the identification of cavities in linear elasticity framework. We rephrase the inverse problem into a shape optimization one using an energetic least-squares functional. The shape derivative of this cost functional is combined with the level set method in a steepest descent algorithm to solve the shape optimization problem. The efficiency of this approach is illustrated by several numerical results.


Author(s):  
Piotr Fulmański ◽  
Antoine Laurain ◽  
Jean-Francois Scheid ◽  
Jan Sokołowski

A Level Set Method in Shape and Topology Optimization for Variational InequalitiesThe level set method is used for shape optimization of the energy functional for the Signorini problem. The boundary variations technique is used in order to derive the shape gradients of the energy functional. The conical differentiability of solutions with respect to the boundary variations is exploited. The topology modifications during the optimization process are identified by means of an asymptotic analysis. The topological derivatives of the energy shape functional are employed for the topology variations in the form of small holes. The derivation of topological derivatives is performed within the framework proposed in (Sokołowski and Żochowski, 2003). Numerical results confirm that the method is efficient and gives better results compared with the classical shape optimization techniques.


2017 ◽  
Vol 57 (1) ◽  
pp. 115-130
Author(s):  
Simon H. Hesse ◽  
Lukas F. Leidinger ◽  
Johannes Kremheller ◽  
Dirk Lukaszewicz ◽  
Fabian Duddeck

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