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Fast Multi-Objective Aerodynamic Optimization Using Sequential Domain Patching and Multifidelity Models
Abstract
Exploration of design tradeoffs for aerodynamic surfaces requires solving of multi-objective optimization (MOO) problems. The major bottleneck here is the time-consuming evaluations of the computational fluid dynamics (CFD) model used to capture the nonlinear physics involved in designing aerodynamic surfaces. This, in conjunction with a large number of simulations necessary to yield a set of designs representing the best possible tradeoffs between conflicting objectives (referred to as a Pareto front), makes CFD-driven MOO very challenging. This paper presents a computationally efficient methodology aimed at expediting the MOO process for aerodynamic design problems. The extreme points of the Pareto front are obtained quickly using single-objective optimizations. Starting from these extreme points, identification of an initial set of Pareto-optimal designs is carried out using a sequential domain patching algorithm. Refinement of the Pareto front, originally obtained at the level of the low-fidelity CFD model, is carried out using local response surface approximations and adaptive corrections. The proposed algorithm is validated using a few multi-objective analytical problems and an aerodynamic problem involving MOO of two-dimensional transonic airfoil shapes where the figures of interest are the drag and pitching moment coefficients. A multifidelity model is constructed using CFD model and control points parameterizing the shape of the airfoil. The results demonstrate that an entire or a part of the Pareto front can be obtained at a low cost when considering up to eight design variables.
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Authors (3)
-
Anand Amrit
-
Leifur Leifsson
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2020 the American Institute of Aeronautics and Astronautics, Inc)
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
JOURNAL OF AIRCRAFT
no. 57,
pages 1 - 11,
ISSN: 0021-8669 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Amrit A., Leifsson L., Kozieł S.: Fast Multi-Objective Aerodynamic Optimization Using Sequential Domain Patching and Multifidelity Models// JOURNAL OF AIRCRAFT -Vol. 57,iss. 3 (2020), s.1-11
- DOI:
- Digital Object Identifier (open in new tab) 10.2514/1.c035500
- Verified by:
- Gdańsk University of Technology
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