|Table of Contents|

A fast algorithm for solving non-Gaussian wind pressure peak factor(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2023年02期
Page:
116-128
Research Field:
建筑结构
Publishing date:

Info

Title:
A fast algorithm for solving non-Gaussian wind pressure peak factor
Author(s):
YE Tao1; 2;  LI Lanlan3
(1. CCCC Second Harbor Engineering Company Ltd., Wuhan 430040, Hubei, China; 2. Department of Bridge Engineering, Tongji University, Shanghai 200092, China; 3. Purple Mountain Laboratories, Nanjing 211111, Jiangsu, China)
Keywords:
super high-rise building;  non-Gaussian wind pressure;  peak factor;  fast algorithm
PACS:
TU312
DOI:
10.19815/j.jace.2021.04080
Abstract:
In order to calculate the non-Gaussian wind pressure peak factor, a fast stepwise search method for calculating peak factor of non-Gaussian wind pressure time history and a gradual piecewise method for extracting peak value based on the model of bilateral guarantee rate were proposed. Through a rigid model wind tunnel test data of pressure measurement of a super high-rise building, several typical calculation methods of peak factor of non-Gaussian wind pressure on claddings were compared and analyzed. The value of peak factor and its error rate calculated by several methods were compared with observed average peak value. Based on the algorithm results, the probability characteristics of fluctuating wind pressure were studied, and the variation relationship and internal variation mechanism among skewness, kurtosis and peak factor were discussed. The results show that based on the reliability theory, the overall accuracy and applicability of the stepwise search method, which is infinitely close to the true distribution of wind pressure time history by numerical means, are improved compared with the classical Sadek-Simiu method. The main trend of change of peak factor and error rate of maximum sequence changing with wind direction angle is consistent with that of minimum sequence. The non-Gaussian features are prominently exhibiting at the leading edge airflow separation on the crosswind side, the leeward corner cuts, the windward corner cuts and the junction of two leeward surfaces at 45° wind direction angle of square section.Whether the absolute value of wind pressure time history probability density distribution is larger than the kurtosis is related to the concentration degree of sample symmetry near the mean line.

References:

[1] KAREEM A,ZHAO J.Analysis of non-Gaussian surge response of tension leg platforms under wind loads[J].Journal of Offshore Mechanics and Arctic Engineering,1994,116(3):137-144.
[2]PILLAI S N,TAMURA Y.Generalized peak factor and its application to stationary random processes in wind engineering applications[J].Journal of Wind Engineering,2007,6(1):1-10.
[3]KWON D,KAREEM A.Peak factors for non-Gaussian load effects revisited[J].Journal of Structural Engineering,2011,137(12):1611-1619.
[4]HUANG M F,LOU W J,CHAN C M,et al.Peak factors of non-Gaussian wind forces on a complex-shaped tall building[J].Structure Design of Tall and Special Building,2013,22(14):1105-1118.
[5]GRIGORIU M.Applied non-Gaussian process [M].Englewood:Prentice Hall,1995.
[6]SADEK F,SIMIU E.Peak non-Gaussian wind effects for database-assisted low-rise building design[J].Journal of Engineering Mechanics,2002,128(5):530-539.
[7]HUANG M F,LOU W J,CHAN C M,et al.Peak distributions and peak factors of wind-induced pressure processes on tall building[J].Journal of Engineering Mechanics,2013,139(12):1744-1756.
[8]KWON D K,KAREEM A.Peak factors for non-Gaussian load effects revisited[J].Journal Structural Engineering,2011,137(12):1611-1619.
[9]KAREEM A,HU L,GUO Y,et al.Generalized wind loading chain:time-frequency modeling framework for nonstationary wind effects on structures[J].Journal of Structural Engineering,2019,145(10):4019092.
[10]全 涌,姚 博,顾 明.高层建筑结构抗风可靠性研究进展[J].同济大学学报(自然科学版),2015,43(6):807-815.
QUAN Yong,YAO Bo,GU Ming.Research progress of wind reliability of high-rise buildings[J].Journal of Tongji university(Natural Science),2015,43(6):807-815.
[11]KUMAR K S,STATHOPOULOS T.Wind loads on low building roofs:a stochastic perspective[J].Journal of Structural Engineering,2000,126(8):944-956.
[12]KAWAI H.Local peak pressure and conical vortex on building[J].Journal of Wind Engineering and Industrial Aerodynamics,2002,90(4):251-263.
[13]HOLMES J D.Wind action on glass and brown's integral[J].Engineering Structure,1985,7(4):226-230.
[14]GIOFFRE M,GUSELLA V.Damage accumulation in glass plates[J].Journal of Engineer Mechanics,2002,128(7):801-805.
[15]PETERS E E.Fractal market analysis:applying chaos theory to investment and economics[M].New York:John Wiley & Sons,1994.
[16]徐龙炳,陆 蓉.R/S分析探索中国股票市场的非线性[J].预测,1999(2):59-62.
XU Longbing,LU Rong.R/S Analysis to explore the nonlinearity of Chinese stock market[J].Forecasting,1999(2):59-62.
[17]FERRO C A T,SEGERS J.Inference for clusters of extreme values[J].Journal of the Royal Statistical Society:Series B(Statistical Methodology),2003,65(2):545-556.
[18]罗 颖.极值理论及其在结构风荷载和响应上的应用[D].成都:西南交通大学,2018.
LUO Ying.Extreme value theory and its application on wind load and response of structure[D].Chengdu:Southwest Jiaotong University,2018.
[19]姚 博,全 涌,顾 明.基于概率分析的高层建筑风荷载组合方法[J].同济大学学报(自然科学版),2016,44(7):1032-1037,1083.
YAO Bo,QUAN Yong,GU Ming.Combination method of wind load about high-rise buildings based on probability analysis[J]. Journal of Tongji University(Natural Science),2016,44(7):1032-1037,1083.
[20]罗 颖,黄国庆,杨庆山,等.基于高阶矩的非高斯风压极值计算[J].建筑结构学报,2018,39(2):146-152.
LUO Ying,HUANG Guoqing,YANG Qingshan,et al.Calculation of peak non-Gaussian wind pressures based on high-order moments[J].Journal of Building Structures,2018,39(2):146-152.
[21]叶 涛.考虑风向效应的围护结构等保证率分布极值风压计算方法[D].上海:同济大学,2017.
YE Tao.Calculation method for distributed extreme wind pressure on building envelope with an identical guarantee rate by considering wind directional effects[D].Shanghai:Tongji University,2017.

Memo

Memo:
-
Last Update: 2023-03-20