Gradient-based Optimization of the Common Research Model Wing Subject to CFD-based Gust and Flutter Constraints

The linearized frequency-domain method was recently implemented in the stabilized finite element solver in NASA’s FUN3D code. Previous work by the authors used this method for enforcing flutter constraints during gradient-based optimizations. More recently, the solver was expanded to account for continuous (also known as stochastic) gust responses. This paper expands on recent Common Research Model wing optimization work, which demonstrated gradient-based optimization with flutter and stochastic gust constraints, among others. While that work utilized FUN3D for static aeroelastic solutions but relied on doublet lattice aerodynamics for gust and flutter responses, the present work replaces these unsteady aerodynamic analyses with those of FUN3D’s linearized frequency-domain solver. With analytic derivatives available, gradient-based optimization is performed through the use of the OpenM-DAO/MPhys libraries with over 700 shape, structural, and aerodynamic design variables and over 10 nonlinear constraints.

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.82439/ceas-ifasd-2024-069
Primary Topic
Diverse Scientific and Economic Studies
Type
article
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article

Gradient-based Optimization of the Common Research Model Wing Subject to CFD-based Gust and Flutter Constraints

Diverse Scientific and Economic Studies
article

Gradient-based Optimization of the Common Research Model Wing Subject to CFD-based Gust and Flutter Constraints

article en

Abstract

The linearized frequency-domain method was recently implemented in the stabilized finite element solver in NASA’s FUN3D code. Previous work by the authors used this method for enforcing flutter constraints during gradient-based optimizations. More recently, the solver was expanded to account for continuous (also known as stochastic) gust responses. This paper expands on recent Common Research Model wing optimization work, which demonstrated gradient-based optimization with flutter and stochastic gust constraints, among others. While that work utilized FUN3D for static aeroelastic solutions but relied on doublet lattice aerodynamics for gust and flutter responses, the present work replaces these unsteady aerodynamic analyses with those of FUN3D’s linearized frequency-domain solver. With analytic derivatives available, gradient-based optimization is performed through the use of the OpenM-DAO/MPhys libraries with over 700 shape, structural, and aerodynamic design variables and over 10 nonlinear constraints.

Langley Research Center (US)
Openalex Percentile: Top 33%
Diverse Scientific and Economic Studies
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