Owing to the unique superelasticity and satisfactory energy dissipation capacity, shape memory alloys (SMAs) show great potential in earthquake engineering. This study focused on establishing analytical method and finite element (FE) model for the buckling-restrained SMA (BRSMA) based self-centering (SC) dampers. For the BRSMA-based SC damper, the lateral deformation of the slender SMA component is constrained by the surrounding buckling-restrained plates (BRPs). Hence, the SMA component avoids buckling induced instability and the damper accordingly exhibits stable cyclic behavior under tension–compression loadings. Although the compressive behavior has been obtained through cyclic loading tests, an in-depth understanding on the corresponding force-displacement relationship is required. As such, a simple analytical method was proposed for estimating the compressive strength capacity of the BRSMA-based SC damper. Besides, the FE model was built to provide additional information that was difficult to obtain in physical model tests. The accuracy of the analytical method and FE model was confirmed by the testing results. The verified FE model was further used to conduct the parametric analysis. The parameters of interest included the shape of the reduced section, the dimension of the BRSMA components, the gap between the BRSMA components and BRPs and the number of bolts. The findings of this paper not only promote understanding on the cyclic behavior of this new damper, but also provide suggestions and guidelines for future design.

由于独特的超弹性和令人满意的能量耗散能力，形状记忆合金（SMA）在地震工程中显示出巨大的潜力。本研究的重点是建立基于屈曲约束 SMA (BRSMA) 的自定心 (SC) 阻尼器的分析方法和有限元 (FE) 模型。对于基于 BRSMA 的 SC 阻尼器，细长 SMA 组件的横向变形受到周围屈曲限制板 (BRP) 的约束。因此，SMA 组件避免了屈曲引起的不稳定性，因此阻尼器在拉压载荷下表现出稳定的循环行为。虽然压缩行为已经通过循环加载测试获得，但需要深入了解相应的力-位移关系。像这样，提出了一种简单的分析方法来估算基于 BRSMA 的 SC 阻尼器的抗压强度能力。此外，建立有限元模型是为了提供在物理模型测试中难以获得的额外信息。测试结果证实了分析方法和有限元模型的准确性。验证后的有限元模型进一步用于进行参数分析。感兴趣的参数包括缩减截面的形状、BRSMA 组件的尺寸、BRSMA 组件和 BRP 之间的间隙以及螺栓数量。本文的研究结果不仅促进了对这种新型阻尼器循环行为的理解，而且还为未来的设计提供了建议和指导。建立有限元模型是为了提供在物理模型测试中难以获得的额外信息。测试结果证实了分析方法和有限元模型的准确性。验证后的有限元模型进一步用于进行参数分析。感兴趣的参数包括缩减截面的形状、BRSMA 组件的尺寸、BRSMA 组件和 BRP 之间的间隙以及螺栓数量。本文的研究结果不仅促进了对这种新型阻尼器循环行为的理解，而且还为未来的设计提供了建议和指导。建立有限元模型是为了提供在物理模型测试中难以获得的额外信息。测试结果证实了分析方法和有限元模型的准确性。验证后的有限元模型进一步用于进行参数分析。感兴趣的参数包括缩减截面的形状、BRSMA 组件的尺寸、BRSMA 组件和 BRP 之间的间隙以及螺栓数量。本文的研究结果不仅促进了对这种新型阻尼器循环行为的理解，而且还为未来的设计提供了建议和指导。感兴趣的参数包括缩减截面的形状、BRSMA 组件的尺寸、BRSMA 组件和 BRP 之间的间隙以及螺栓数量。本文的研究结果不仅促进了对这种新型阻尼器循环行为的理解，而且还为未来的设计提供了建议和指导。感兴趣的参数包括缩减截面的形状、BRSMA 组件的尺寸、BRSMA 组件和 BRP 之间的间隙以及螺栓数量。本文的研究结果不仅促进了对这种新型阻尼器循环行为的理解，而且还为未来的设计提供了建议和指导。