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Parameters Optimization and Performance Evaluation of the Tuned Inerter Damper for the Seismic Protection of Adjacent Building Structures.

Authors :
Xiaofang Kang
Jian Wu
Xinqi Wang
Shancheng Lei
Source :
CMES-Computer Modeling in Engineering & Sciences; 2024, Vol. 138 Issue 1, p551-593, 43p
Publication Year :
2024

Abstract

In order to improve the seismic performance of adjacent buildings, two types of tuned inerter damper (TID) damping systems for adjacent buildings are proposed, which are composed of springs, inerter devices and dampers in serial or in parallel. The dynamic equations of TID adjacent building damping systems were derived, and the H2 norm criterion was used to optimize and adjust them, so that the system had the optimum damping performance under white noise random excitation. Taking TID frequency ratio and damping ratio as optimization parameters, the optimum analytical solutions of the displacement frequency response of the undamped structure under white noise excitation were obtained. The results showed that compared with the classic TMD, TID could obtain a better damping effect in the adjacent buildings. Comparing the TIDs composed of serial or parallel, it was found that the parallel TIDs had more significant advantages in controlling the peak displacement frequency response, while the H2 norm of the displacement frequency response of the damping system under the coupling of serial TID was smaller. Taking the adjacent building composed of two ten-story frame structures as an example, the displacement and energy collection time history analysis of the adjacent building coupled with the optimum design parameter TIDs were carried out. It was found that TID had a better damping effect in the full-time range compared with the classic TMD. This paper also studied the potential power of TID in adjacent buildings, which can be converted into available power resources during earthquakes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15261492
Volume :
138
Issue :
1
Database :
Complementary Index
Journal :
CMES-Computer Modeling in Engineering & Sciences
Publication Type :
Academic Journal
Accession number :
172318598
Full Text :
https://doi.org/10.32604/cmes.2023.029044