TY - JOUR

T1 - Estimating low-occurrence wind speeds from mean velocity and turbulent kinetic energy

T2 - Development of statistical method and validation with idealized cases

AU - Wang, Wei

AU - Okaze, Tsubasa

N1 - Publisher Copyright:
© 2022 Elsevier Ltd

PY - 2022/10

Y1 - 2022/10

N2 - A novel statistical method (namely KB method) for estimating low-occurrence strong wind speeds (LOSWSs) from mean wind velocity and turbulent kinetic energy (TKE) was developed in this study. An isolated building case and a building array case from a large-eddy simulation (LES) database were used for the statistical analysis and validation. The statistics including the coefficient of variation (CV), peak factor (PF) Kq and gust factor (GF) Gq were analyzed. It was found that the relationships of the CV to the PF and GF of the LES results are close to the theoretical relationships of the two-parameter Weibull distribution (2W). The LOSWSs sq with q = 10%, 1% and 0.1% have positive correlations with the mean wind speed ⟨s⟩ and have negative correlations with Gq. The KB method was proposed based on 2W. The shape parameter β of 2W was estimated as an empirical function of the TKE ratio k/(K+k), where K and k are the mean and turbulent kinetic energy, respectively. Then, the estimated β was used for calculating the theoretical gust factor of 2W. Finally, the LOSWS was calculated from the estimated gust factor and mean wind speed. By using the mean wind velocity and TKE from the LES database, the KB method showed high accuracy for estimating the LOSWSs with q = 10%, 1% and 0.1%. Relative errors were within 20% at most points.

AB - A novel statistical method (namely KB method) for estimating low-occurrence strong wind speeds (LOSWSs) from mean wind velocity and turbulent kinetic energy (TKE) was developed in this study. An isolated building case and a building array case from a large-eddy simulation (LES) database were used for the statistical analysis and validation. The statistics including the coefficient of variation (CV), peak factor (PF) Kq and gust factor (GF) Gq were analyzed. It was found that the relationships of the CV to the PF and GF of the LES results are close to the theoretical relationships of the two-parameter Weibull distribution (2W). The LOSWSs sq with q = 10%, 1% and 0.1% have positive correlations with the mean wind speed ⟨s⟩ and have negative correlations with Gq. The KB method was proposed based on 2W. The shape parameter β of 2W was estimated as an empirical function of the TKE ratio k/(K+k), where K and k are the mean and turbulent kinetic energy, respectively. Then, the estimated β was used for calculating the theoretical gust factor of 2W. Finally, the LOSWS was calculated from the estimated gust factor and mean wind speed. By using the mean wind velocity and TKE from the LES database, the KB method showed high accuracy for estimating the LOSWSs with q = 10%, 1% and 0.1%. Relative errors were within 20% at most points.

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U2 - 10.1016/j.buildenv.2022.109499

DO - 10.1016/j.buildenv.2022.109499

M3 - Article

AN - SCOPUS:85137012067

SN - 0360-1323

VL - 224

JO - Building and Environment

JF - Building and Environment

M1 - 109499

ER -