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The Strip Method for Shape Derivatives

Sean Hardesty(shardes***at***sandia.gov)
Harbir Antil(hantil***at***gmu.edu)
Drew Kouri(dpkouri***at***sandia.gov)
Denis Ridzal(dridzal***at***sandia.gov)

Abstract: A major challenge in shape optimization is the coupling of finite element method (FEM) codes in a way that facilitates efficient computation of shape derivatives. This is particularly difficult with multiphysics problems involving legacy codes, where the costs of implementing and maintaining shape derivative capabilities are prohibitive. The volume and boundary methods are two approaches to computing shape derivatives. Each has a major drawback: the boundary method is less accurate, while the volume method is more invasive to the FEM code. We introduce the strip method, which computes shape derivatives on a strip adjacent to the boundary. The strip method makes code coupling simple. Like the boundary method, it queries the state and adjoint solutions at quadrature nodes, but requires no knowledge of the FEM code implementations. At the same time, it exhibits the higher accuracy of the volume method. As an added benefit, its computational complexity is comparable to that of the boundary method, i.e., it is faster than the volume method. We illustrate the benefits of the strip method with numerical examples.

Keywords: Shape Optimization, Strip Method, Volume Method, Boundary Method, Finite Elements

Category 1: Applications -- Science and Engineering (Optimization of Systems modeled by PDEs )

Category 2: Applications -- Science and Engineering (Multidisciplinary Design Optimization )

Category 3: Infinite Dimensional Optimization

Citation: Submitted for publication, Sandia National Laboratories, 2020.

Download: [PDF]

Entry Submitted: 08/26/2020
Entry Accepted: 08/26/2020
Entry Last Modified: 08/26/2020

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