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Shape optimization of U-shaped steel dampers subjected to cyclic loading using an efficient hybrid approach

机译:使用高效混合方法的U形钢制阻尼器在周期性载荷下的形状优化

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摘要

U-shaped steel damper (USSD), as an energy dissipation device, has been recommended in the literature for using in the isolation systems. This type of damper is capable of appropriately dissipating the input energy which a structure imparts from an earthquake. The capability is provided through a large range of plastic deformations occurred in the USSD. This paper aimed at presenting a methodology structured in the framework of a shape optimization problem to enhance the seismic energy dissipation and deformation capability of the USSD under cyclic loading. To achieve this goal, the straight part, thickness and height of the USSD were considered as the design variables of the optimization problem and optimized through maximizing the ratio of energy dissipation through plastic deformation to the maximum equivalent plastic strain. In order to find the optimum shape of the USSD under cyclic loading, a hybrid approach consisted of two phases was applied. In the first phase, as an alternative for the time-consuming finite element analysis, a support vector machine (SVM) approach was trained, tested and used to predict the inelastic responses of the USSD. In the second phase, a modified particle swarm optimization (PSO) algorithm was adopted to find the optimum shape of the USSD subjected to two critical directions of cyclic loading. After finding the optimum shape of the USSD, the energy dissipation and deformation capability of the optimum shaped-USSD were assessed. Results demonstrate that the proposed shape optimization methodology renders an optimum-shaped USSD with significantly improved energy dissipation and deformation capability compared with those of available in the literature.
机译:U型钢阻尼器(USSD)作为一种消能装置,已在文献中推荐用于隔离系统。这种类型的阻尼器能够适当地耗散结构因地震而施加的输入能量。通过在USSD中发生的各种塑性变形来提供此功能。本文旨在提出一种在形状优化问题框架内构建的方法,以增强循环荷载作用下USSD的地震耗能和变形能力。为实现此目标,USSD的直部,厚度和高度被视为优化问题的设计变量,并通过使塑性变形的能量耗散与最大等效塑性应变的比值最大化来进行优化。为了在循环载荷下找到USSD的最佳形状,应用了一种由两相组成的混合方法。在第一阶段,作为耗时的有限元分析的替代方法,对支持向量机(SVM)方法进行了培训,测试并用于预测USSD的非弹性响应。在第二阶段,采用改进的粒子群算法(PSO)来找到在两个关键方向的循环载荷作用下USSD的最佳形状。找到最佳形状的USSD后,评估最佳形状的USSD的能量耗散和变形能力。结果表明,与文献中提供的形状优化方法相比,所提出的形状优化方法可提供最佳形状的USSD,并具有显着改善的能量耗散和变形能力。

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