TY - JOUR
T1 - Statistical analysis of turbulent flow over a building array using LES
AU - Osman, Haitham
AU - Zainol, Muhd Azhar
AU - Ikegaya, Naoki
N1 - Publisher Copyright:
© 2023, Kyushu University. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Understanding the turbulent flow feature over building arrays are essential because the flow distribution is determined by the interaction between the atmospheric boundary layer and building array. The present study investigated the turbulent statistics over roughness elements arranged in a staggered array using large eddy simulation. Unlike a conventional method to drive the flow by the constant pressure gradient, the current simulation method employed a vertical profile of the streamwise pressure gradient determined by the experimental data of the Reynolds stress obtained in a wind tunnel. The time series data were analyzed to determine the fundamental statistics and probabilistic characteristics. The results revealed that the probability density function of the streamwise velocity component followed the gaussian distribution curve behind the building model. However, the probability density function of the vertical component showed a positive skewed results owing to the reverse flow back to the roughness element.
AB - Understanding the turbulent flow feature over building arrays are essential because the flow distribution is determined by the interaction between the atmospheric boundary layer and building array. The present study investigated the turbulent statistics over roughness elements arranged in a staggered array using large eddy simulation. Unlike a conventional method to drive the flow by the constant pressure gradient, the current simulation method employed a vertical profile of the streamwise pressure gradient determined by the experimental data of the Reynolds stress obtained in a wind tunnel. The time series data were analyzed to determine the fundamental statistics and probabilistic characteristics. The results revealed that the probability density function of the streamwise velocity component followed the gaussian distribution curve behind the building model. However, the probability density function of the vertical component showed a positive skewed results owing to the reverse flow back to the roughness element.
KW - Large eddy simulation
KW - Turbulent statistics
KW - Urban boundary layer
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U2 - 10.5109/7158035
DO - 10.5109/7158035
M3 - Conference article
AN - SCOPUS:85184319528
SN - 2434-1436
VL - 9
SP - 429
EP - 434
JO - International Exchange and Innovation Conference on Engineering and Sciences
JF - International Exchange and Innovation Conference on Engineering and Sciences
T2 - 9th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2023
Y2 - 19 October 2023 through 20 October 2023
ER -