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Cited by 24Structural Health Monitoring TechniquesSeismic and Structural Analysis of Tall BuildingsStructural Engineering and Vibration Analysis

Bayesian probabilistic assessment of occupant comfort of high-rise structures based on structural health monitoring data

Open access
Wang, Y.W., Zhang, C., Ni, Y.Q., Xu, X.Y.·2022·Mechanical Systems and Signal Processing
DOI 10.1016/j.ymssp.2021.108147
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Abstract

Comfort performance of high-rise structures during strong winds is significant to habitants. Despite the significance, procedures for evaluating occupant comfort in serviceability limit states have not been as well developed as those for strength-based design of high-rise structures. One of the difficulties arises from uncertainties associated with the parameters in occupant comfort assessment, which pertain to the acceleration response magnitude and its relationship to human reaction to the motion. The comfort assessment is in general conducted by examining whether the wind-induced acceleration response satisfies some occupant comfort criteria. Such a deterministic approach, however, fails to account for uncertainty inherent in the wind-induced acceleration response as it is affected by the wind field of stochastic nature and uncertainty about the aerodynamic loads and the structure’s dynamic behavior. In view of this, a Bayesian probabilistic approach is proposed in this study to evaluate the occupant comfort of high-rise structures. First, a Bayesian regression model is formulated for characterizing wind-induced acceleration responses of a structure by use of structural health monitoring (SHM) data acquired during strong winds, thereby enabling to account for the uncertainty contained in the monitored acceleration responses and quantify the uncertainty in modeling and prediction. Based on the predicted acceleration distribution and reliability theory, a safety index is then elicited to perform probabilistic assessment of occupant comfort in wind-induced motion of the structure. In the case study, field monitoring data acquired from a supertall structure of 600 m high during six tropical cyclones are used to illustrate the proposed approach, including the evaluation of occupant comfort of the structure under extreme wind speeds.

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Research works printed but not linked: 2

  1. R.O. Denoon, Designing for wind-induced serviceability accelerations in buildings, Ph.D. thesis, University of Queensland, 2000.
  2. Isyumov N., Kilpatrick J., Full-scale experience with wind-induced motions of tall buildings, Proceedings of 67th Regional Conference Council on Tall Buildings and Urban Habitat, Chicago, USA, 1996.

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Authors
Wang, Y. W., Zhang, C., Ni, Y. Q., & Xu, X. Y.
Affiliations
Hong Kong Polytechnic University (HK)
Corresponding author
Ni, Y.Q.
ORCID
Venue
Mechanical Systems and Signal Processing
Publisher
Elsevier BV
Published
2022-01
Volume
163
Pages
108147
ISSN
0888-3270 (ISSN-L)
DOI
10.1016/j.ymssp.2021.108147
OpenAlex
W3175356033
Cited by
24
References
45
Citations by year
2026: 2 · 2025: 9 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 1
FWCI
1.68
Type
journal article
Language
en
Open access
Licence
Locations
  • Mechanical Systems and Signal Processing (publishedVersion, cc-by-nc-nd)
  • PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion, cc-by-nc-nd)
Funders
  • Innovation and Technology Commission - Hong Kong (K-BBY1)
  • Innovation and Technology Fund
  • Research Grants Council, University Grants Committee (PolyU 152014/18E)
  • Hong Kong Polytechnic University
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Civil and Structural Engineering › Seismic and Structural Analysis of Tall Buildings
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Vibration Analysis
Keywords
occupant comfort, high-rise buildings, Bayesian regression, structural health monitoring, serviceability limit state, safety indicators, reliability analysis, super high-rise buildings, tropical cyclones, uncertainty quantification

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