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Predicting the human-induced vibration of cross laminated timber floor under multi-person loadings

Lookup NU author(s): Dr Haoyu HuangORCiD

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Abstract

© 2020 Institution of Structural EngineersThe vibration of cross laminated timber (CLT) floor is closely related to human-induced loadings. However, research and prediction approaches regarding human-induced vibration of the CLT floor have been mostly limited to a single-person excitation condition. This paper presents new prediction approaches to the vibration response of the CLT floor under multi-person loadings. The effect of multi-person loadings on the vibration performance of a CLT floor was investigated through numerical modelling, experimental testing and analytical investigation. A finite element model was developed through a computational software to perform an accurate analysis of human-induced loadings. An analytical model was established to predict human-induced vibration of the CLT floor under multi-person loadings. Experimental tests were conducted to validate the numerical modelling. Results of both numerical modelling and experimental testing showed that the vibration performance of the CLT floor under multi-person loadings was almost double that under single-person loadings. Thus, multi-person activities are more likely to cause the occupants feelings of discomfort. A method for predicting the human-induced vibration of the CLT floor under multi-person loadings was then developed. The measured response, numerical modelled response, and predicted response were compared using an existing design metric, vibration dose value (VDV). The results were largely consistent. It is therefore concluded that the proposed prediction method will enable engineers to design timber floor systems that consider multi-person loadings.


Publication metadata

Author(s): Wang C, Chang W-S, Yan W, Huang H

Publication type: Article

Publication status: Published

Journal: Structures

Year: 2021

Volume: 29

Pages: 65-78

Print publication date: 01/02/2021

Online publication date: 17/11/2020

Acceptance date: 28/10/2020

ISSN (electronic): 2352-0124

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.istruc.2020.10.074

DOI: 10.1016/j.istruc.2020.10.074


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