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A novel structural seismic protection system with negative stiffness and controllable damping

机译:具有负刚度和可控阻尼的新型结构地震保护系统

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摘要

In this paper, an innovative controllable negative stiffness system (CNSS) integrating adaptive negative stiffness and controllable damping characteristics is proposed to realise desirable vibration protection and improve adaptability, hence being effective to various earthquakes. The force-displacement relationship of the CNSS is derived as the forward model to describe its nonlinear properties. Three representative control algorithms, i.e., Linear Quadratic Regular (LQR) control, H infinity control and Sliding Mode (SM) control, are utilised for the CNSS to attain optimal control force. Based on the Takagi-Sugeno-Kang (TSK) Fuzzy inference system optimised by Non-Dominated Sorted Genetic Algorithm II (NSGAII), a novel inverse model is proposed accordingly to obtain input current according to the required control force and real-time system responses. To demonstrate the feasibility and efficiency of the CNSS for structural seismic protection, a numerical case study is conducted on a three-storey building model with CNSS installed on its first floor. Four scaled benchmark earthquakes are employed as excitations for the case study. Ten evaluation criteria are adopted to assess and verify the performance of the CNSS, and comparisons are made with that of uncontrolled and passive controlled systems. The numerical results indicate that the proposed CNSS can significantly improve the vibration control performance on all evaluation criteria simultaneously in comparison with the other two conventional systems. In addition to having good suppression effects on peak floor displacement and peak inter-storey drift, the CNSS with the SM controller demonstrates superior performance on mitigating peak structure shear and peak acceleration response of the first floor.
机译:在本文中,提出了一种集成自适应负刚度和可控阻尼特性的创新可控负刚度系统(CNSS)以实现所需的振动保护和改善适应性,因此对各种地震有效。 CNSS的力位移关系作为前向模型来描述其非线性特性。三个代表性控制算法,即线性二次常规(LQR)控制,H无限控制和滑动模式(SM)控制,用于获得最佳控制力。基于Takagi-sugeno-kang(TSK)模糊推理系统通过非主导的分类遗传算法II(NSGAII)优化,因此提出了一种新颖的反向模型,以获得根据所需的控制力和实时系统响应的输入电流。为了证明CNSS用于结构地震保护的CNSS的可行性和效率,在一个三层建筑模型上进行了一个数值案例研究,其中CNSS安装在其一楼。四个缩放的基准地震被用作案例研究的激动。通过10个评估标准来评估和验证CNS的性能,并使用不受控制和被动控制系统进行比较。数值结果表明,与其他两个常规系统相比,所提出的CNS可以显着提高所有评估标准的振动控制性能。除了对峰值位移和峰值间漂移的较好的抑制效果之外,带有SM控制器的CNS也表现出卓越的性能对一楼的缓解峰结构剪切和峰值加速度响应。

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  • 来源
    《Structural Control and Health Monitoring》 |2021年第10期|e2810.1-e2810.26|共26页
  • 作者单位

    Univ Technol Sydney Sch Civil & Environm Engn Fac Engn & Informat Technol Ultimo NSW 2007 Australia;

    Western Sydney Univ Inst Infrastruct Engn Penrith NSW 2037 Australia;

    Univ Technol Sydney Sch Civil & Environm Engn Fac Engn & Informat Technol Ultimo NSW 2007 Australia;

    Univ Technol Sydney Sch Civil & Environm Engn Fac Engn & Informat Technol Ultimo NSW 2007 Australia;

    Univ Technol Sydney Sch Civil & Environm Engn Fac Engn & Informat Technol Ultimo NSW 2007 Australia|Western Sydney Univ Inst Infrastruct Engn Penrith NSW 2037 Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    controllable damping; inverse model; negative stiffness; structural dynamics; system response;

    机译:可控阻尼;逆模型;负刚度;结构动力学;系统响应;

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