Although the current seismic design of buildings ensures collapse resistance, repairs after disasters are time-consuming and costly. High performance structures and reliable design methods that consider repairability are required for resilient communities. This paper proposes a shape function-based framework and adopts a flexural-shear multi-degree-of-freedom model for seismic design optimization. The proposed framework has fewer parameters and higher portability, and provides better results than a component-based framework. Multi-objective particle swarm optimization is adopted to determine feasible structures for multiple requirements. The optimization provides well-designed elastoplastic and self-centering components of 10–60 floor structures and generates suitable maximum displacement, residual displacement, and cost. A simplified calculation method based on the optimized result is proposed and is verified to guarantee a good performance. Additional optimization of the re-centering ratio and hybrid damping of the self-centering component provides a triangular distribution of the re-centering ratio with values of 1.14–1.26 on the lower floor and a viscous damping ratio of 0.04 to 0.07 for each floor. The maximum acceleration is controlled by 0.8 g after the incorporation of hybrid damping.

中文翻译：

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基于形状函数的弹塑性自定心构件建筑抗震设计多目标优化

尽管目前建筑物的抗震设计保证了抗倒塌能力，但灾后的修复既耗时又昂贵。弹性社区需要高性能结构和考虑可修复性的可靠设计方法。本文提出了一种基于形函数的框架，并采用弯剪多自由度模型进行抗震设计优化。所提出的框架具有更少的参数和更高的可移植性，并且比基于组件的框架提供更好的结果。采用多目标粒子群优化来确定多种需求的可行结构。该优化提供了 10-60 层结构的精心设计的弹塑性和自定心组件，并生成合适的最大位移、残余位移和成本。在此基础上提出了一种基于优化结果的简化计算方法，并进行了验证，保证了良好的性能。对自定心组件的重新定心比和混合阻尼进行额外优化，提供了重新定心比的三角形分布，下层的值为 1.14-1.26，每层的粘性阻尼比为 0.04-0.07。加入混合阻尼后最大加速度控制在0.8g。