Coupled adjoint‐based sensitivities in large‐displacement fluid‐structure interaction using algorithmic differentiation
File(s)
Author(s)
Type
Journal Article
Abstract
A methodology for the calculation of gradients with respect to design parameters in general Fluid-Structure Interaction problems is presented. It is based on fixed-point iterations on the adjoint variables of the coupled system using Algorithmic Differentiation. This removes the need for the construction of the analytic Jacobian for the coupled physical problem, which is the usual limitation for the computation of adjoints in most realistic applications. The formulation is shown to be amenable to partitioned solution methods for the adjoint equations. It also poses no restrictions to the nonlinear physics in either the fluid or structural field, other than the existence of a converged solution to the primal problem from which to compute the adjoints. We demonstrate the applicability of this procedure and the accuracy of the computed gradients on coupled problems involving viscous flows with geometrical and material non-linearities in the structural domain.
Date Issued
2018-02-17
Date Acceptance
2017-09-07
Citation
International Journal for Numerical Methods in Engineering, 2018, 113 (7), pp.1081-1107
ISSN
0029-5981
Publisher
John Wiley and Sons
Start Page
1081
End Page
1107
Journal / Book Title
International Journal for Numerical Methods in Engineering
Volume
113
Issue
7
Copyright Statement
This is the peer reviewed version of the following article: Sanchez, R., Albring, T., Palacios, R., Gauger, N. R., Economon, T. D., and Alonso, J. J. (2017) Coupled Adjoint-Based Sensitivities in Large-Displacement Fluid-Structure Interaction using Algorithmic Differentiation. Int. J. Numer. Meth. Engng,, which has been published in final form at https://dx.doi.org/10.1002/nme.5700. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Sponsor
European Office Of Aerospace Research & Developmen
Identifier
https://onlinelibrary.wiley.com/doi/abs/10.1002/nme.5700
Grant Number
FA8655-12-1-2046
Subjects
Science & Technology
Technology
Physical Sciences
Engineering, Multidisciplinary
Mathematics, Interdisciplinary Applications
Engineering
Mathematics
adjoint algorithmic differentiation
fluid-structure interaction
shape design
STATE AEROELASTIC ANALYSIS
DESIGN OPTIMIZATION
DISCRETE ADJOINT
EXPRESSION TEMPLATES
IMPLEMENTATION
CONSERVATION
DERIVATIVES
FORMULATION
SOLVERS
COMPLEX
Applied Mathematics
09 Engineering
Publication Status
Published
Date Publish Online
2017-09-14