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An efficient approach for optimum shape design of steel shear panel dampers under cyclic loading

机译:循环加载下钢剪切面板阻尼器的最佳形状设计有效方法

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The low-cycle fatigue performance of shear panel damper (SPD) highly depends on the geometry of its shape and the criterion considered for its design. The main contribution of the current study is to find the optimum shape of the SPD subjected to cyclic loading by considering two different objective functions. The maximum equivalent plastic strain and the ratio of energy dissipation through plastic deformation to the maximum equivalent plastic strain are selected as the first and second objective functions, respectively. Since the optimization procedure requires high computational efforts, a hybrid computational approach is used to perform two paramount phases of estimating the inelastic responses of the SPD and solving the optimization problem. In the first phase, as an alternative for the time-consuming finite element analysis of the SPD, a weighted-support vector machine model is developed to predict the inelastic responses of the SPDs during the optimization process. In the second phase, the optimum shape of the SPD is found by using the whale optimization algorithm (WOA). The results indicate that both design criteria lead to the optimum-shaped SPDs with a significant improvement in their low cycle fatigue performance in comparing with the initial rectangular shape while a slight reduction in their energy dissipation capacity. Moreover, the second design criterion is slightly better in the performance improvement of the optimum-shaped SPDs compared with the first one. In addition, the weighted-based SVM approach can accurately predict the inelastic responses of the SPDs under cyclic loading, and its combination with WOA results in finding the optimum solutions quickly.
机译:剪切面板阻尼器(SPD)的低周期疲劳性能高度取决于其形状的几何形状和所考虑的标准。目前研究的主要贡献是通过考虑两种不同的客观函数来找到对循环负载进行循环加载的最佳形状。选择最大等效塑性应变和通过塑性变形到最大当量塑性应变的能量耗散与最大值和第二目标功能。由于优化过程需要高计算工作,因此混合计算方法用于执行估计SPD的非弹性响应并解决优化问题的概要阶段。在第一阶段中,作为SPD的耗时的有限元分析的替代方案,开发了一种加权支持向量机模型以在优化过程中预测SPD的无弹性响应。在第二阶段,通过使用鲸瓦优化算法(WOA)来找到SPD的最佳形状。结果表明,两个设计标准导致最佳形状的SPD,与初始矩形形状相比,它们的低循环疲劳性能显着提高,同时略微降低其能量耗散能力。此外,与第一个设计标准在最佳形状的SPD的性能改进中稍微稍微更好地稍好。另外,基于加权的SVM方法可以准确地预测循环载荷下SPD的无弹性响应,其与WOA的组合可以快速找到最佳解决方案。

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