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author:

Wang, Chaoxian (Wang, Chaoxian.) [1] | Zou, Jiyun (Zou, Jiyun.) [2] | Lu, Lixing (Lu, Lixing.) [3] | Wu, Yingxiong (Wu, Yingxiong.) [4]

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Abstract:

The negative stiffness damper (NSD) has shown excellent effectiveness in reducing vibration. However, researches focusing on the analysis and optimization of the adjacent structures with negative stiffness damper (ASNSD) under non-stationary seismic excitation (NSSE) and varying soil conditions, remain scarce. This paper proposes a soil-dependent stochastic optimization procedure (SDSOP) to investigate the optimal parameters of ASNSD under NSSE considering firm, medium and soft soil conditions. The novelty of this procedure is it integrates stochastic optimization with non-stationary seismic excitation modeled using the Clough-Penzien spectrum combined with time modulation function, while considering different soil conditions. Firstly, the state-space representations of stochastic seismic excitation and ASNSD are combined to form the representations of the augmented structure-damper-earthquake systems. Subsequently, the optimal designs of ASNSD are defined via the solution of the deferential Lyapunov equation. Lastly, the obtained optimal parameters of ASNSD are further examined under artificially generated seismic excitation real earthquake records from the perspectives of dynamic response. The results demonstrate the effectiveness of the proposed SDSOP and highlight the advantages of ASNSD for all soil conditions. Compared to firm and medium soil conditions, the requirements for negative stiffness and damping values are significantly higher in soft soil conditions. © 2025

Keyword:

Damping Earthquakes Optimal systems Seismic design Soils State space methods Stiffness Structural optimization

Community:

  • [ 1 ] [Wang, Chaoxian]School of Civil Engineering, Fuzhou University, Fujian Province, 350108, China
  • [ 2 ] [Zou, Jiyun]School of Civil Engineering, Fuzhou University, Fujian Province, 350108, China
  • [ 3 ] [Lu, Lixing]School of Civil Engineering, Fuzhou University, Fujian Province, 350108, China
  • [ 4 ] [Wu, Yingxiong]School of Civil Engineering, Fuzhou University, Fujian Province, 350108, China
  • [ 5 ] [Wu, Yingxiong]Fujian Provincial Key Laboratory of Multi-disasters Prevention and Mitigation in Civil Engineerings, Fujian Province, 350108, China

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Structures

Year: 2025

Volume: 80

3 . 9 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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