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Efficient design optimization strategy for structural dynamic systems using a reduced basis method combined with an equivalent static load

机译:使用减少基础方法的结构动态系统高效设计优化策略与等同的静载荷

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This paper presents an efficient structural design optimization strategy that combines the reduced basis method (RBM) with the equivalent static load (ESL). In dynamic response optimization using ESL, the computation of a static system optimization is repeatedly executed under multiple static loads. In this process, we propose parametrizing the static system and employing the RBM with global proper orthogonal decomposition (POD). In general, the snapshots for the sampling procedure under multiple loads increase proportionally to the number of loads, which results in an inefficient computational procedure. Thus, we propose taking snapshots with a proper orthogonal mode (POM) of the multiple loads rather than for the multiple loads themselves. The number of snapshots then decreases, and the original system can be efficiently reduced. We directly employ the framework of the proposed RBM with the POM of multiple loads to ESL-based design optimization, and the results indicate that the proposed method is more efficient than conventional ESL-based optimization as well as a full order model. Various numerical examples, including comparisons of relative errors and the dynamic response optimizations, support the strength of the proposed strategy.
机译:本文介绍了一种有效的结构设计优化策略,将基础方法(RBM)与等效静态负载(ESL)相结合。在使用ESL的动态响应优化中,在多个静态负载下重复执行静态系统优化的计算。在此过程中,我们提出了参数化静态系统并采用RBM具有全局适当的正交分解(POD)。通常,在多个负载下的采样过程的快照与负载的数量比例增加,这导致效率低下计算过程。因此,我们建议使用多个负载的适当正交模式(POM)的快照而不是多负载本身。然后,快照的数量减少,并且可以有效地减少原始系统。我们直接使用所提出的RBM的框架与基于ESL的设计优化的多重载荷的POM,结果表明该方法比传统的基于ESL的优化以及完整阶模型更有效。各种数值示例,包括相对误差和动态响应优化的比较,支持所提出的策略的强度。

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