Abstract

The compositive passive control (CPC) method of “interlayer seismic isolation “plus “shock absorption between adjacent towers” was applied to a multi-tower building (MTB) with a large podium. The interaction between adjacent towers was used to reduce the structural response under seismic action. Based on the Clough–Penzien spectral seismic model, the extended state equation of random response of MTB was derived with the minimum total energy of structural vibration as the optimization control objective. By comparing the seismic scheme and interlayer seismic isolation scheme, the relationship between the control parameters of the connecting control device and the random response of the structure was discussed and analyzed, and the control effect of the composite passive control system under different control schemes was also studied from the perspective of seismic response time history and vibration cumulative energy time history. Through numerical analysis, it was proved that the damping coefficient of the Kelvin-Voigt model has a great influence on the mean square error of total vibration energy while the stiffness coefficient has a poor sensitivity to it. Under the optimization control objective, the connection control device was better arranged at the top of the structure. The control effect can reach 84.64% under the condition of random ground motion as input. The CPC method maintains the advantages of the interlayer seismic isolation scheme and reduces the defect of the response amplification caused by the interlayer isolation, which provides a reference for the follow-up study of the CPC method of MTB.

Highlights

  • With the rapid development of the current urban construction process, it is imperative to build urban earthquake resilient structures, and the emphasis of design for seismic resistance has been changed from “strength” to “performance” [1,2,3]

  • In order to reduce the horizontal-torsional coupling effect and improve the seismic performance of the twin-tower structure, researchers have conducted a lot of research on the interlayer seismic isolation technology, indicating it is an effective damping system [11,12,13]

  • This paper investigates the effectiveness of the suggested compositive passive control (CPC) method for an interlayer isolated multi-tower building with large chassis using the created passive control model

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Summary

Introduction

With the rapid development of the current urban construction process, it is imperative to build urban earthquake resilient structures, and the emphasis of design for seismic resistance has been changed from “strength” to “performance” [1,2,3]. Some scholars found that interlayer seismic isolation cannot suppress the acceleration response of the lower part of the structure (i.e., the large chassis podium) [14,15,16,17]. “shock absorption between adjacent towers” to a multi-tower building (MTB) with a large podium, to make use of the respective advantages of the two control methods in order to achieve a better control effect. This paper investigates the effectiveness of the suggested compositive passive control (CPC) method for an interlayer isolated multi-tower building with large chassis using the created passive control model. Based on the Clough–Penzien spectral ground motion model, the extended state equation of random response of MTB is derived with the minimum total energy of structural vibration as the optimization control objective. This paper conducts a preliminary exploration of how to apply this combined isolation system on an MTB in order to ensure the seismic resilience of such structures and reduce their damage during a seismic event

Analytical Model and Motion Equation
Calculation
Extended State Equation of Clough–Penzien Spectral Model
Structure Random Response Solution
Performance Parameter Optimization of Passive Control Unit
Optimization Process
Method Application
Optimization of Performance Parameters Single-DOF System
Analysis of Vibration ofseismic
10. Second-order
13. Zero-order
Layout Optimization of Multi-DOF System
Findings
Conclusions
Full Text
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