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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part B. Journal of engineering manufacture >A serialization-based partial decoupling approach for multidisciplinary design optimization of complex systems
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A serialization-based partial decoupling approach for multidisciplinary design optimization of complex systems

机译：基于序列化的复杂系统多学科设计优化的部分解耦方法

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摘要

The optimization for multidisciplinary engineering systems is highly complicated, which involves the decomposing of a system into several individual disciplinary subsystems for obtaining optimal solutions. Managing the coupling between subsystems remains a great challenge for global optimization as the existing methods involve inefficient iterative solving processes and thus have higher time cost. Some strategies such as discipline reorder, coupling suspension and coupling ignoring can to some extent reduce the execution cost. However, there are still some deficiencies for these approaches such as uniform handling of the couplings, complete decoupling and heavy burden of system optimizer. To overcome the above drawbacks, a serialization-based partial decoupling approach is proposed in this study, which consists of three main steps. First, different disciplines are clustered into some subsystems by analyzing the interdisciplinary sensitivities. Then, for each subsystem, a serialization process is proposed to ensure no coupling loops exist and the subsystem can be solved with no iteration, which can reduce the time cost for solving the disciplinary problem to a large degree. Finally, a local optimization model is constructed for each subsystem to maintain the scale of the global optimizer and ensure mutual independence and parallel processing. The proposed three-layer framework ensures the feasibility of solving for each subsystem and improves the efficiency of optimization execution. Several experiments have been conducted to demonstrate the effectiveness and feasibility of the proposed approach.
机译：多学科工程系统的优化高度复杂，这涉及将系统分解为几个单独的学科子系统，以获得最佳解决方案。管理子系统之间的耦合仍然是全球优化的巨大挑战，因为现有方法涉及效率低效的迭代解决过程，因此具有更高的时间成本。纪律重新订购的一些策略，耦合悬架和耦合忽略可以在一定程度上降低执行成本。然而，这些方法仍然存在一些缺陷，例如统一处理联轴器，完全去耦和系统优化器的沉重负担。为了克服上述缺点，在本研究中提出了一种基于序列化的部分解耦方法，其包括三个主要步骤。首先，通过分析跨学科敏感性，将不同的学科聚集到某些子系统中。然后，对于每个子系统，提出了一种序列化过程以确保不存在耦合环，并且可以没有迭代解决子系统，这可以减少解决纪律问题的时间成本。最后，为每个子系统构建了本地优化模型，以维持全局优化器的比例并确保相互独立性和并行处理。所提出的三层框架确保了对每个子系统解决的可行性，并提高了优化执行的效率。已经进行了几个实验以证明所提出的方法的有效性和可行性。

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