Proceedings of the 2024 International Conference on Civil Engineering Structures and Concrete Materials (CESCM 2024)

Optimum Parameters of Kelvin-defined Dampers Connecting Symmetrical Three-adjacent-structure System

Authors
Yushuang Guan1, *, Hongyu Li1, Huangsheng Sun1
1College of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao, Shandong, 266590, China
*Corresponding author. Email: 2928614903@qq.com
Corresponding Author
Yushuang Guan
Available Online 31 October 2024.
DOI
10.2991/978-94-6463-564-5_14How to use a DOI?
Keywords
three adjacent structures; seismic mitigation; connecting parameter; parameter optimization; seismic reduction factor
Abstract

Based on the simplified model of symmetrical three adjacent structures interconnected by Kelvin-modeled dampers, the influences of connecting parameters, i.e., stiffness and damping, on the structural seismic responses are investigated numerically. Taking the structural vibration energy as the optimization criterion, the optimum stiffness and damping parameters of the connecting damper as well as the corresponding structural seismic reduction factors (SRFs) are obtained for the three control criteria, respectively. Then the effects of structural frequency-ratio, mass-ratio, on the optimum connecting parameters and the corresponding SRFs are analyzed. In addition, the applicability of the optimum connecting parameters for an example of MDOF-modeled adjacent structures group is verified by comparing the optimal linking parameter values and SRF of the example with those of the simplified model. Finally, time history analysis on the controlled structures under earthquake excitation is conducted and the reduction effectiveness in terms of displacement, interlayer shear force and vibration energy are analyzed. The results show that the optimum connecting parameters are related to the structures frequency-ratio and mass-ratio. The increase in structures natural vibration frequency difference would improve the reduction effectiveness. The optimum parameters for the control criteria are not equal and the structures could not obtain the best control effectiveness simultaneously. The proposed optimal connecting parameters derived from simplified model are applicable for MDOF system with the SRF increases by less than 0.051.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Civil Engineering Structures and Concrete Materials (CESCM 2024)
Series
Advances in Engineering Research
Publication Date
31 October 2024
ISBN
978-94-6463-564-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-564-5_14How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yushuang Guan
AU  - Hongyu Li
AU  - Huangsheng Sun
PY  - 2024
DA  - 2024/10/31
TI  - Optimum Parameters of Kelvin-defined Dampers Connecting Symmetrical Three-adjacent-structure System
BT  - Proceedings of the 2024 International Conference on Civil Engineering Structures and Concrete Materials (CESCM 2024)
PB  - Atlantis Press
SP  - 140
EP  - 160
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-564-5_14
DO  - 10.2991/978-94-6463-564-5_14
ID  - Guan2024
ER  -