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Enabling large-scale multidisciplinary design optimization through adjoint sensitivity analysis

delete2021-10-04
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J
Joaquim R. R. A. Martins *
G
Graeme Kennedy
DOI:10.1007/s00158-021-03067-ydelete
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摘要

摘要

En 中文
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.
Keyword:
Multidisciplinary design optimization
Sensitivity analysis
Adjoint method
Structural optimization
Aerodynamic shape optimization
Aircraft design
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期刊

Structural and Multidisciplinary Optimization 封面图
Structural and Multidisciplinary Optimization
IF:
4
论文数:
4.9K
被引数:
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机构

U
University of Michigan
学者数:
6.4W
论文数: 5.3W
被引数: 124
U
university of michigan system
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9.1W
论文数: 8.6W
被引数: 133
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