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Author:

Huang, Haoyu (Huang, Haoyu.) | Chang, Wen-Shao (Chang, Wen-Shao.)

Indexed by:

EI Scopus SCIE

Abstract:

Shape memory alloy (SMA) is becoming a popularly studied smart material in the field of structural control. The feasibility of utilising an SMA in a tuneable mass damper to reduce the excessive vibration of a timber floor system was revealed in a pilot study. However, the in-service excitations on a floor can be complex and involve more frequencies and randomness; therefore, this paper aims to assess the effectiveness of the SMA-based semi active TMD in a real-scale timber floor, where the free vibration and human footfall-induced vibration are considered as inputs. This study is conducted using numerical simulations on OPENSEES. By reducing the floor vibration at a range of frequencies, both cooling and heating the SMA are effective in retuning the off-tuned TMD and reducing the structural response. Footfall excitation involves more than one excitation frequencies, and the higher dominant frequencies can resonate with the off-tuning frequencies, increasing the structural response. Simulation results demonstrate that retuning using SMAs can effectively lower the structural response at a wide range of frequencies, thus attenuating the footfall-induced vibration.

Keyword:

Retuning Timber floor Footfall vibration Shape memory alloy Tuned mass damper

Author Community:

  • [ 1 ] [Huang, Haoyu]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Chang, Wen-Shao]Univ Sheffield, Sch Architecture, Sheffield S10 2TN, S Yorkshire, England

Reprint Author's Address:

  • [Chang, Wen-Shao]Univ Sheffield, Sch Architecture, Sheffield S10 2TN, S Yorkshire, England

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Related Keywords:

Source :

ENGINEERING STRUCTURES

ISSN: 0141-0296

Year: 2018

Volume: 167

Page: 143-150

5 . 5 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:156

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 33

SCOPUS Cited Count: 37

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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