Enabling large-scale multidisciplinary design optimization through adjoint sensitivity analysis

被引：12

作者：

Martins, Joaquim R. R. A. ^{[1
]}

Kennedy, Graeme J. ^{[2
]}

机构：

[1] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA

[2] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA USA

来源：

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION | 2021年 / 64卷 / 05期

基金：

加拿大自然科学与工程研究理事会; 美国国家科学基金会;

关键词：

Multidisciplinary design optimization; Sensitivity analysis; Adjoint method; Structural optimization; Aerodynamic shape optimization; Aircraft design; STACKING-SEQUENCE OPTIMIZATION; AERODYNAMIC-STRUCTURAL DESIGN; EFFICIENT GLOBAL OPTIMIZATION; PDE-CONSTRAINED OPTIMIZATION; FINITE-ELEMENT FRAMEWORK; KRYLOV-SCHUR METHODS; AEROSTRUCTURAL OPTIMIZATION; GENETIC ALGORITHM; SHAPE OPTIMIZATION; TRANSPORT AIRCRAFT;

D O I：

10.1007/s00158-021-03067-y

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper is written to honor Raphael T. Haftka's seminal contributions to multidisciplinary design optimization. We focus on those contributions that directly impacted our research, namely: the adjoint method for computing derivatives, wing aerostructural design optimization, and architectures for multidisciplinary design optimization. For each of these topics, we describe Haftka's contributions, how they impacted our research, and examples of what they enabled us to do. The overarching theme of the contributions and developments described in this paper is the efficient computation of derivatives, which, together with gradient-based optimizers, enables the optimization with respect to large numbers of design variables, even when using costly high-fidelity models.

引用

页码：2959 / 2974

页数：16

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