Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Numerical predictions of wind induced buffeting vibration for structures by a developed pseudo excitation method

Bai, Yuguang, Zhang, Youwei, Liu, Tingting, Kennedy, David and Williams, Fred 2019. Numerical predictions of wind induced buffeting vibration for structures by a developed pseudo excitation method. Journal of Low Frequency Noise, Vibration and Active Control 38 (2) , pp. 510-526. 10.1177/1461348419828248

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

A numerical analysis method for wind-induced response of structures is presented which is based on the pseudo-excitation method to significantly reduce the computational complexity while preserving accuracy. Original pseudo-excitation method was developed suitable for adoption by combining an effective computational fluid dynamic method which can be used to replace wind tunnel tests when finding important aerodynamic parameters. Two problems investigated are gust responses of a composite wing and buffeting vibration responses of the Tsing Ma Bridge. Atmospheric turbulence effects are modeled by either k–ω shear stress transport or detached eddy simulation. The power spectral responses and variances of the wing are computed by employing the Dryden atmospheric turbulence spectrum and the computed values of the local stress standard deviation of the Tsing Ma Bridge are compared with experimental values. The simulation results demonstrate that the proposed method can provide highly efficient numerical analysis of two kinds of wind-induced responses of structures and hence has significant benefits for wind-induced vibration engineering.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: SAGE Publications
ISSN: 0263-0923
Date of First Compliant Deposit: 18 January 2019
Date of Acceptance: 12 January 2019
Last Modified: 04 Jul 2019 14:09
URI: http://orca.cf.ac.uk/id/eprint/118533

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics