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The strip method for shape derivatives

Journal Article · · International Journal for Numerical Methods in Engineering
DOI:https://doi.org/10.1002/nme.6908· OSTI ID:1996595
 [1];  [2];  [3];  [3]
  1. Computational Solid Mechanics and Structural Dynamics Sandia National Laboratories Albuquerque New Mexico USA
  2. Department of Mathematical Sciences and the Center for Mathematics and Artificial Intelligence (CMAI) George Mason University Fairfax Virginia USA
  3. Optimization and Uncertainty Quantification Sandia National Laboratories Albuquerque New Mexico USA

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, that is, it is faster than the volume method. We illustrate the benefits of the strip method with numerical examples.

Sponsoring Organization:
USDOE
OSTI ID:
1996595
Journal Information:
International Journal for Numerical Methods in Engineering, Journal Name: International Journal for Numerical Methods in Engineering Journal Issue: 7 Vol. 123; ISSN 0029-5981
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United Kingdom
Language:
English

References (15)

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A Unified Discrete–Continuous Sensitivity Analysis Method for Shape Optimization book October 2009
Nonparametric gradient-less shape optimization for real-world applications journal May 2005
Automated shape differentiation in the Unified Form Language journal August 2019
Fully and semi-automated shape differentiation in NGSolve journal November 2020
Comparison of approximate shape gradients journal August 2014
Designing polymer spin packs by tailored shape optimization techniques journal June 2018
Shape optimization of an acoustic horn journal March 2003
Distributed shape derivative via averaged adjoint method and applications journal July 2016
Efficient PDE Constrained Shape Optimization Based on Steklov--Poincaré-Type Metrics journal January 2016
Shape Optimization with Nonsmooth Cost Functions: From Theory to Numerics journal January 2016
Shape Optimization of Shell Structure Acoustics journal January 2017
Weak and Strong Form Shape Hessians and Their Automatic Generation journal January 2018
Two-Dimensional Shape Optimization with Nearly Conformal Transformations journal January 2018
Shape Optimization by Pursuing Diffeomorphisms journal July 2015

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