Shape Optimization by the Homogenization Method

Shape Optimization by the Homogenization Method

2002 | Grégoire Allaire
The book "Shape Optimization by the Homogenization Method" by Grégoire Allaire, published by Springer-Verlag, focuses on the application of homogenization theory to optimal design problems in structural engineering, particularly in conductivity and elasticity settings. The primary goal is to provide a self-contained account of homogenization theory and its practical applications in solving optimal design problems from both theoretical and numerical perspectives. The book highlights the homogenization method as a powerful tool for shape and topology optimization, addressing the limitations of classical methods that require smooth parametrization and do not allow for topological changes. The content is structured into several chapters: 1. **Homogenization**: Introduces the mathematical framework of homogenization, including $H$-convergence and $G$-convergence, and discusses the averaging of partial differential equations. 2. **Two-Phase Composite Materials**: Explores the effective properties of composite materials formed by fine mixtures of two phases, focusing on the $G$-closure problem and Hashin-Shtrikman bounds. 3. **Optimal Design in Conductivity**: Discusses the relaxation of optimal design problems by allowing composite materials, proving existence of generalized designs, and deriving optimality conditions. 4. **Optimal Design in Elasticity**: Similar to the conductivity chapter, this chapter focuses on the relaxation of optimal design problems in elasticity, using Hashin-Shtrikman bounds and sequential laminates. 5. **Numerical Algorithms**: Describes numerical methods for implementing the homogenization-based approach, including optimality criteria and gradient methods, and discusses post-processing techniques to recover classical shapes from optimal composite designs. The book aims to serve as a comprehensive resource for researchers and engineers interested in shape and topology optimization, providing both theoretical insights and practical numerical algorithms.The book "Shape Optimization by the Homogenization Method" by Grégoire Allaire, published by Springer-Verlag, focuses on the application of homogenization theory to optimal design problems in structural engineering, particularly in conductivity and elasticity settings. The primary goal is to provide a self-contained account of homogenization theory and its practical applications in solving optimal design problems from both theoretical and numerical perspectives. The book highlights the homogenization method as a powerful tool for shape and topology optimization, addressing the limitations of classical methods that require smooth parametrization and do not allow for topological changes. The content is structured into several chapters: 1. **Homogenization**: Introduces the mathematical framework of homogenization, including $H$-convergence and $G$-convergence, and discusses the averaging of partial differential equations. 2. **Two-Phase Composite Materials**: Explores the effective properties of composite materials formed by fine mixtures of two phases, focusing on the $G$-closure problem and Hashin-Shtrikman bounds. 3. **Optimal Design in Conductivity**: Discusses the relaxation of optimal design problems by allowing composite materials, proving existence of generalized designs, and deriving optimality conditions. 4. **Optimal Design in Elasticity**: Similar to the conductivity chapter, this chapter focuses on the relaxation of optimal design problems in elasticity, using Hashin-Shtrikman bounds and sequential laminates. 5. **Numerical Algorithms**: Describes numerical methods for implementing the homogenization-based approach, including optimality criteria and gradient methods, and discusses post-processing techniques to recover classical shapes from optimal composite designs. The book aims to serve as a comprehensive resource for researchers and engineers interested in shape and topology optimization, providing both theoretical insights and practical numerical algorithms.
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