Wind and Structures

  • 제7권6호
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  • Pages.373-392
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  • 2004
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Spatial extrapolation of pressure time series on low buildings using proper orthogonal decomposition

  • Chen, Yingzhao (Alan G. Davenport Wind Engineering Group, Boundary Layer Wind Tunnel Laboratory, The University of Western Ontario) ;
  • Kopp, Gregory A. (Alan G. Davenport Wind Engineering Group, Boundary Layer Wind Tunnel Laboratory, The University of Western Ontario) ;
  • Surry, David (Alan G. Davenport Wind Engineering Group, Boundary Layer Wind Tunnel Laboratory, The University of Western Ontario)
  • 투고 : 2003.08.06
  • 심사 : 2004.09.03
  • 발행 : 2004.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper presents a methodology for spatial extrapolation of wind-induced pressure time series from a corner bay to roof locations on a low building away from the corner through the application of proper orthogonal decomposition (POD). The approach is based on the concept that pressure time series in the far field can be approximated as a linear combination of a series of modes and principal coordinates, where the modes are extracted from the full roof pressure field of an aerodynamically similar building and the principal coordinates are calculated from data at the leading corner bay only. The reliability of the extrapolation for uplift time series in nine bays for a cornering wind direction was examined. It is shown that POD can extrapolate reasonably accurately to bays near the leading corner, given the first three modes, but the extrapolation degrades further from the corner bay as the spatial correlations decrease.

키워드

참고문헌

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피인용 문헌

  1. Vulnerability analysis of steel roofing cladding: Influence of wind directionality vol.156, 2018, https://doi.org/10.1016/j.engstruct.2017.11.068
  2. Mathematical explanation on the POD applications for wind pressure fields with or without mean value components vol.23, pp.4, 2016, https://doi.org/10.12989/was.2016.23.4.367
  3. Multivariate stochastic simulation of wind pressure over low-rise structures through linear model interpolation vol.98, pp.4-5, 2010, https://doi.org/10.1016/j.jweia.2009.10.018