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Seismic Performance of Self-centering Steel Frames with SMA-viscoelastic Hybrid Braces
This study presents a novel hybrid self-centering system aiming to overcome critical shortcomings identified in the existing self-centering solution. Two types of hybrid brace incorporating shape memory alloy elements and integrated viscoelastic dampers are first introduced, followed by a system-level analysis on a series of prototype buildings. The results show that using viscoelastic material to reach a moderate damping ratio is highly effective in peak and residual deformation control. Floor acceleration is also effectively controlled by the hybrid solution. A parametric study is then conducted, and design recommendations are given. A probability-based residual deformation prediction model is finally proposed.
Seismic Performance of Self-centering Steel Frames with SMA-viscoelastic Hybrid Braces
This study presents a novel hybrid self-centering system aiming to overcome critical shortcomings identified in the existing self-centering solution. Two types of hybrid brace incorporating shape memory alloy elements and integrated viscoelastic dampers are first introduced, followed by a system-level analysis on a series of prototype buildings. The results show that using viscoelastic material to reach a moderate damping ratio is highly effective in peak and residual deformation control. Floor acceleration is also effectively controlled by the hybrid solution. A parametric study is then conducted, and design recommendations are given. A probability-based residual deformation prediction model is finally proposed.
Seismic Performance of Self-centering Steel Frames with SMA-viscoelastic Hybrid Braces
Fang, Cheng (author) / Ping, Yiwei (author) / Chen, Yiyi (author) / Yam, M. C. H. (author) / Chen, Junbai (author) / Wang, Wei (author)
Journal of Earthquake Engineering ; 26 ; 5004-5031
2022-07-27
28 pages
Article (Journal)
Electronic Resource
Unknown
Performance-based seismic design of self-centering steel frames with SMA-based braces
Online Contents | 2017
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