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Performance-based seismic design of self-centering steel frames with SMA-based braces

机译:基于SMA支撑的自定心钢框架的基于性能的抗震设计

摘要

This study proposes a performance-based seismic design (PBSD) method for steel braced frames with novel self-centering (SC) braces that utilize shape memory alloys (SMA) as a kernel component. Superelastic SMA cables can completely recover deformation upon unloading, dissipate energy without residual deformation, and provide SC capability to the frames. The presented PBSD method is essentially a modified version of the performance-based plastic design with extra consideration of some special features of SMA-based braced frames (SMABFs). Four six-story concentrically braced frames with SMA-based braces (SMABs) are designed as examples to illustrate the efficacy of the proposed design method. In particular, the variability in the hysteretic parameters of SMAs, such as the phase-transformation stiffness ratio and the energy dissipation factor, is considered in the PBSD method. Accordingly, four SMABFs are designed with different combinations of these hysteretic parameters. The seismic performance of the designed frames is examined at various seismic intensity levels. Results of nonlinear time-history analyses indicate that the four SMABFs can successfully achieve the prescribed performance objectives at three seismic hazard levels. The comparisons among the designed frames reveal that the SMABs with greater hysteretic parameters result in a more economical design in terms of the consumption of steel and SMA materials.
机译:这项研究提出了一种基于性能的抗震设计(PBSD)方法,用于具有新型自定心(SC)支撑的钢支撑框架,该支撑使用形状记忆合金(SMA)作为核心组件。超弹性SMA电缆可以在卸载时完全恢复变形,耗散能量而不会产生残余变形,并为框架提供SC能力。提出的PBSD方法本质上是基于性能的塑料设计的修改版本,并额外考虑了基于SMA的支撑框架(SMABF)的某些特殊功能。以具有基于SMA的支撑(SMAB)的四个六层同心支撑框架为例,以说明所提出的设计方法的有效性。尤其是,在PBSD方法中考虑了SMA的滞后参数的变化,例如相变刚度比和能量耗散因数。因此,用这些磁滞参数的不同组合设计了四个SMABF。在各种地震烈度水平下检查设计框架的抗震性能。非线性时程分析的结果表明,四个SMABF在三个地震危险等级下都能成功达到规定的性能目标。设计框架之间的比较表明,具有更高滞后参数的SMAB可以在钢和SMA材料的消耗方面实现更经济的设计。

著录项

  • 作者

    Qiu CX; Zhu S;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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