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首页> 外文期刊>International journal of steel structures >Study on Topology Optimization of Perforated Steel Plate Shear Walls in Moment Frame Based on Strain Energy
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Study on Topology Optimization of Perforated Steel Plate Shear Walls in Moment Frame Based on Strain Energy

机译：基于应变能量的矩框架穿孔钢板剪力墙拓扑优化研究

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Perforated steel plate shear walls (PSPSWs) are requested for passing the equipment and creating the accessing spaces. Also, the studies showed the PSPSWs enhance the ductility. In this paper, topology optimization (TO) is used to introduce a new form of the PSPSW in the moment frames based on the strain energy as the objective function. The TO is conducted using the sensitivity analysis, SIMP method and method of moving asymptotes. Four amounts of aspect ratio (0.67, 1.0, 1.5 and 2.0) and three plate thicknesses (2 mm, 4 mm and 8 mm) are defined in the TO and their effects are considered in the results. For a comprehensive study, the results of TO are compared with the three usual forms of PSPSW with circular holes and a previous optimized model. The material volume is equal for the plates with the identical aspect ratio and plate thickness. The cyclic behavior of all the models is investigated and compared in terms of strength, energy dissipation and fracture tendency. The analytic hierarchy process (AHP) is applied to score and determine the best model and form. The AHP method illustrated that the optimized models have a better performance. The results of the AHP method show that the optimized model in this study obtained 22.07% of the score from 100%, while the scores of the prior optimized model and three traditional models are 20.67%, 19.36%, 19.06% and 18.84%, respectively.
机译：要求穿孔钢板剪切墙（PSPSW）通过设备并创建访问空间。此外，研究表明PSPSWS增强了延展性。在本文中，拓扑优化（至）用于基于作为目标函数的应变能量，在瞬间框架中引入新形式的PSPSW。使用敏感性分析，SIMP方法和移动渐近的方法进行待导体。在TO期间定义了四种纵横比（0.67,1.0,1.5和2.0）和三个板厚度（2mm，4mm和8mm），并考虑结果。对于全面的研究，将结果与具有圆孔的三种通常形式的PSPSW和先前的优化模型进行比较。材料体积与具有相同纵横比和板厚度相同的平板。在强度，能量耗散和断裂倾向方面，研究了所有模型的循环行为。分析层次处理（AHP）被应用于得分并确定最佳模型和形式。 AHP方法说明了优化的模型具有更好的性能。 AHP方法的结果表明，本研究的优化模型获得了从100％的分数的22.07％，而先前优化的模型和三种传统模型的分数分别为20.67％，19.36％，19.06％和18.84％ 。

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