A concurrent subspace collaborative optimization architecture to structural synthetical optimization design

Yao, Weixing; Yitao, Wu; Chen, Fang

doi:10.1007/s00158-015-1320-2

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…At each iteration, the global sensitivity equation is used to calculate the coupling sensitivity information, and then, linear approximation is performed for each discipline MDA. Further details can be found in reference [45]. The main advantage of the CSSO method is the use of an approximate model to replace the complex discipline analysis, which significantly improves the calculation efficiency.…”

Section: Classification Of Mdo Architecturesmentioning

confidence: 99%

A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies

Wang,

Fan,

Qiang

2023

Symmetry

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The design of aerospace systems is recognized as a complex interdisciplinary process. Many studies have shown that the exchange of information among multiple disciplines often results in strong coupling and nonlinearity characteristics in system optimization. Meanwhile, inevitable multi-source uncertainty factors continuously accumulate during the optimization process, greatly compromising the system’s robustness and reliability. In this context, uncertainty-based multidisciplinary design optimization (UMDO) has emerged and has been preliminarily applied in aerospace practices. However, it still encounters major challenges, including the complexity of multidisciplinary analysis modeling, and organizational and computational complexities of uncertainty analysis and optimization. Extensive research has been conducted recently to address these issues, particularly uncertainty analysis and artificial intelligence strategies. The former further enriches the UMDO technique, while the latter makes outstanding contributions to addressing the computational complexity of UMDO. With the aim of providing an overview of currently available methods, this paper summarizes existing state-of-the art UMDO technologies, with a special focus on relevant intelligent optimization strategies.

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Section: Classification Of Mdo Architecturesmentioning

confidence: 99%

A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies

Wang,

Fan,

Qiang

2023

Symmetry

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“…This theory provided a reliable method for solving large and complex problems. In [33], Yao considered structural layout, shape, and size optimization, and proposed a Concurrent Subspace Collaborative Optimization method (CSCO). Many design variables do not need to be optimized simultaneously using this method, which significantly reduces the degree of nonlinearity in structural analysis.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary Lightweight Optimization for Front Impact Structure of Body Frame Based on Active and Passive Safety

Wang¹,

Wang²,

Li³

et al. 2021

Mathematics

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The Analytic Target Cascading (ATC) is an effective method for solving hierarchical Multidisciplinary Design Optimization (MDO) problems. At the same time, this method suffers from poor convergence and low accuracy, which is caused by the inconsistency of system constraints. In this paper, a novel ATC method based on dynamic relaxation factor is proposed. The dynamic relaxation factor of consistency constraint is added in the system level and is adjusted by the deviation of the linking variables between the levels to ensure the feasible region of the design space. The effectiveness and accuracy of this method are verified by a mathematical example. This method is used to solve the lightweight problem of the trussed front part of the vehicle body frame based on active and passive safety to achieve the collaborative optimization of lightweight trussed frame, crash safety, and aerodynamic characteristics. The important value of the novel ATC method based on dynamic relaxation factor in engineering applications is proven.

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Parametric optimization of a steering system based on dynamic constraints collaborative optimization method

Cui

Zhao

Wang

2019

Struct Multidisc Optim

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A concurrent subspace collaborative optimization architecture to structural synthetical optimization design

Cited by 6 publications

References 13 publications

A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies

A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies

Multidisciplinary Lightweight Optimization for Front Impact Structure of Body Frame Based on Active and Passive Safety

Parametric optimization of a steering system based on dynamic constraints collaborative optimization method

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