Probabilistic assessment of vibration exceedance for a full-scale tall building under typhoon conditions

Mingfeng Huang, Qing Xu, Haiwei Xu, Yi Qing Ni, Kenny Kwok

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Full-scale wind and vibration measurements were conducted on a 270-m tall building in Hong Kong. For the modal identification, a refined fast Bayesian fast Fourier transform method was newly developed by considering the exponential form of the modal wind force spectrum. Then, the modal parameters of the monitored building and their uncertainties were identified from the full-scale vibration data under typhoon conditions by the proposed refined fast Bayesian fast Fourier transform method. For assessing the vibration exceedance of the monitored building under typhoon, a stochastic wind force field generation technique was developed by combining the spectral representation method and the computational fluid dynamics method. Wind-induced vibration of the tall building under Typhoon Kammuri was reanalyzed with generated wind force time history data. Finally, a time-domain Monte Carlo simulation framework was proposed by integrating the modal identification and the stochastic wind force field generation technique. In this framework, the Metropolis–Hastings sampling algorithm was adopted to estimate the vibration exceedance probability, which was defined through a limit state performance function associated with the ISO vibration assessment criteria.

Original languageEnglish
Article numbere1516
JournalStructural Design of Tall and Special Buildings
Volume27
Issue number15
DOIs
Publication statusPublished - 25 Oct 2018

Keywords

  • modal identification
  • tall building
  • typhoon
  • uncertainty
  • vibration exceedance probability

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction

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