A new efficient coupling relationship description method has been developed to provide an automated and visualized way to multidisciplinary design optimization (MDO) modeling and solving. The disciplinary relation mat...A new efficient coupling relationship description method has been developed to provide an automated and visualized way to multidisciplinary design optimization (MDO) modeling and solving. The disciplinary relation matrix (DRM) is proposed to describe the coupling relationship according to disciplinary input/output variables, and the MDO definition has been reformulated to adopt the new interfaces. Based on these, a universal MDO solving procedure is proposed to establish an automated and efficient way for MDO modeling and solving. Through a simple and convenient initial configuration, MDO problems can be solved using any of available MDO architectures with no further effort. Several examples are used to verify the proposed MDO modeling and solving process. Result shows that the DRM method has the ability to simplify and automate the MDO procedure, and the related MDO framework can evaluate the MDO problem automatically and efficiently.展开更多
The design of complex aerospace systems is a multidisciplinary design optimization(MDO)problem involving the interaction of multiple disciplines.However,because of the necessity of evaluating expensive black-box simul...The design of complex aerospace systems is a multidisciplinary design optimization(MDO)problem involving the interaction of multiple disciplines.However,because of the necessity of evaluating expensive black-box simulations,the enormous computational cost of solving MDO problems in aerospace systems has also become a problem in practice.To resolve this,metamodel-based design optimization techniques have been applied to MDO.With these methods,system models can be rapidly predicted using approximate metamodels to improve the optimization efficiency.This paper presents an overall survey of metamodel-based MDO for aerospace systems.From the perspective of aerospace system design,this paper introduces the fundamental methodology and technology of metamodel-based MDO,including aerospace system MDO problem formulation,metamodeling techniques,state-of-the-art metamodel-based multidisciplinary optimization strategies,and expensive black-box constraint-handling mechanisms.Moreover,various aerospace system examples are presented to illustrate the application of metamodel-based MDOs to practical engineering.The conclusions derived from this work are summarized in the final section of the paper.The survey results are expected to serve as guide and reference for designers involved in metamodel-based MDO in the field of aerospace engineering.展开更多
文摘多学科设计优化(Multidisciplinary design optimization,MDO)方法能够有效解决大规模复杂工程系统的设计问题,为了更好地处理经常遇到的准可分MDO问题,提出了一种基于罚函数的两级交替优化方法(Two-level alternating optimization method based on penaltyfunction,PAO)。PAO基于分解协调策略,首先将准可分MDO问题分解为一个系统级问题和多个子系统级问题,然后通过交替求解达到子系统间的一致性。首次使用PAO方法对整车抗撞性进行设计优化,计算结果验证了该方法的有效。
基金supported by the National Natural Science Foundation of China(51505385)Shanghai Aerospace Science and Technology Innovation Foundation(SAST2015010)the Defense Basic Research Program(JCKY2016204B102)
文摘A new efficient coupling relationship description method has been developed to provide an automated and visualized way to multidisciplinary design optimization (MDO) modeling and solving. The disciplinary relation matrix (DRM) is proposed to describe the coupling relationship according to disciplinary input/output variables, and the MDO definition has been reformulated to adopt the new interfaces. Based on these, a universal MDO solving procedure is proposed to establish an automated and efficient way for MDO modeling and solving. Through a simple and convenient initial configuration, MDO problems can be solved using any of available MDO architectures with no further effort. Several examples are used to verify the proposed MDO modeling and solving process. Result shows that the DRM method has the ability to simplify and automate the MDO procedure, and the related MDO framework can evaluate the MDO problem automatically and efficiently.
基金This work was supported by the National Natural Science Foundation of China(Nos.52005288 and 51675047)the Aeronautical Science Foundation of China(No.2019ZC072003).
文摘The design of complex aerospace systems is a multidisciplinary design optimization(MDO)problem involving the interaction of multiple disciplines.However,because of the necessity of evaluating expensive black-box simulations,the enormous computational cost of solving MDO problems in aerospace systems has also become a problem in practice.To resolve this,metamodel-based design optimization techniques have been applied to MDO.With these methods,system models can be rapidly predicted using approximate metamodels to improve the optimization efficiency.This paper presents an overall survey of metamodel-based MDO for aerospace systems.From the perspective of aerospace system design,this paper introduces the fundamental methodology and technology of metamodel-based MDO,including aerospace system MDO problem formulation,metamodeling techniques,state-of-the-art metamodel-based multidisciplinary optimization strategies,and expensive black-box constraint-handling mechanisms.Moreover,various aerospace system examples are presented to illustrate the application of metamodel-based MDOs to practical engineering.The conclusions derived from this work are summarized in the final section of the paper.The survey results are expected to serve as guide and reference for designers involved in metamodel-based MDO in the field of aerospace engineering.
