Peak factor estimation of non-Gaussian wind pressure on high-rise buildings

2017 ◽  
Vol 26 (17) ◽  
pp. e1386 ◽  
Author(s):  
Xingliang Ma ◽  
Fuyou Xu
Keyword(s):  
Wind Pressure ◽  
Peak Factor ◽  
High Rise ◽  
Non Gaussian ◽  
Factor Estimation

scholarly journals ESTIMATION OF PEAK FACTOR FOR NON-GAUSSIAN WIND PRESSURE

2002 ◽  
Vol 67 (557) ◽  
pp. 79-84 ◽  
Author(s):  
Kazuyoshi NISHIJIMA ◽  
Jun KANDA ◽  
Hang CHOI
Keyword(s):  
Wind Pressure ◽  
Peak Factor ◽  
Non Gaussian

scholarly journals Further Analysis of Non-Gaussian Wind Pressure Peak Factor Calculation

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Tao Ye ◽  
Ledong Zhu ◽  
Zhongxu Tan ◽  
Lanlan Li
Keyword(s):  
Time Series ◽  
Pressure Coefficient ◽  
Wind Pressure ◽  
Time Interval ◽  
Peak Factor ◽  
Pressure Time ◽  
Wind Pressure Coefficient ◽  
Non Gaussian ◽  
The Relationship ◽  
Guarantee Rate

The wind pressure time history of high-rise building cladding is mostly non-Gaussian distribution, and there is a one-to-one correspondence between a specified guarantee rate and its corresponding peak factor. A stepwise search method for calculating the peak factor of non-Gaussian wind pressure and a gradual independent segmentation method for extracting independent peak values have been proposed to determine the relationship accurately in the previous study. Based on the given experiment and calculation results in the existing research results, more analysis can be given to enrich the study on this topic. In this paper, some characteristics of wind pressure coefficient time series in time and frequency domain are analysed. Based on the basic theory of fractal, the R/S analysis of wind pressure time series is made, and the fractal characteristics of wind pressure coefficient time series are explained. Based on the statistical theory, the relationship characteristics between high-order statistics and peak factors are studied. The correlation between the guarantee rate and the corresponding peak factor is analysed, and the guarantee rates calculated by the Davenport peak factor method are evaluated. The power spectrum characteristics of fluctuating wind pressure are analysed and the relationship between turbulence characteristic frequency and optimal observation time interval is discussed.

scholarly journals Probability Characteristics, Area Reduction, and Wind Directionality Effects of Extreme Pressure Coefficients of High-Rise Buildings

2021 ◽  
Vol 11 (15) ◽  
pp. 7121
Author(s):  
Shouke Li ◽  
Feipeng Xiao ◽  
Yunfeng Zou ◽  
Shouying Li ◽  
Shucheng Yang ◽  
...  
Keyword(s):  
Probability Distribution ◽  
Pressure Coefficient ◽  
Wind Pressure ◽  
Extreme Pressure ◽  
Distribution Law ◽  
Distribution Fitting ◽  
Pressure Coefficients ◽  
High Rise ◽  
Area Reduction ◽  
The Mean

Wind tunnel tests are carried out for the Commonwealth Advisory Aeronautical Research Council (CAARC) high-rise building with a scale of 1:400 in exposure categories D. The distribution law of extreme pressure coefficients under different conditions is studied. Probability distribution fitting is performed on the measured area-averaged extreme pressure coefficients. The general extreme value (GEV) distribution is preferred for probability distribution fitting of extreme pressure coefficients. From the comparison between the area-averaged coefficients and the value from GB50009-2012, it is indicated that the wind load coefficients from GB50009-2012 may be non-conservative for the CAARC building. The area reduction effect on the extreme wind pressure is smaller than that on the mean wind pressure from the code. The recommended formula of the area reduction factor for the extreme pressure coefficient is proposed in this study. It is found that the mean and the coefficient of variation (COV) for the directionality factors are 0.85 and 0.04, respectively, when the orientation of the building is given. If the uniform distribution is given for the building’s orientation, the mean value of the directionality factors is 0.88, which is close to the directionality factor of 0.90 given in the Chinese specifications.

Non-Gaussian Wind Pressure on Prismatic Buildings. II: Numerical Simulation

2001 ◽  
Vol 127 (9) ◽  
pp. 990-995 ◽  
Author(s):  
Massimiliano Gioffrè ◽  
Vittorio Gusella ◽  
Mircea Grigoriu
Keyword(s):  
Numerical Simulation ◽  
Wind Pressure ◽  
Non Gaussian

scholarly journals Wind tunnel tests of aerodynamic interference of the high-rise building and its nearest city surroundings

2013 ◽  
Vol 12 (2) ◽  
pp. 079-086
Author(s):  
Grzegorz Bosak
Keyword(s):  
Wind Tunnel ◽  
Building Design ◽  
Wind Pressure ◽  
Horizontal Wind ◽  
Wind Tunnel Tests ◽  
Wind Action ◽  
Building Model ◽  
High Rise ◽  
High Rise Building ◽  
Aerodynamic Interference

The paper summarizes the results of wind tunnel tests of the influence of aerodynamic interference on wind action of a high-rise building design in Warsaw. Measurements were accomplished in Wind Engineering Laboratory of Cracow University of Technology. Wind pressures on external surfaces of the building model were acquired in two different situations. Firstly, only the building model was placed in the tunnel working section, secondly, the building model with the nearest surroundings was taken under consideration. A study of the character of wind action differences caused by the nearest surroundings of the building was the main aim of the paper. Wind pressure coefficients on the external building surfaces and the difference of horizontal wind action on full scale were compared.

scholarly journals Feasibility Study of Fluctuating Wind Pressure around High-Rise Buildings as a Potential Energy-Harvesting Source

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4032 ◽  
Author(s):  
Park ◽  
Kim ◽  
Jung
Keyword(s):  
Energy Source ◽  
Energy Harvesting ◽  
Wind Turbine ◽  
Wind Pressure ◽  
Experimental Conditions ◽  
Energy Harvesters ◽  
High Rise ◽  
New Locations ◽  
Noise Vibration ◽  
Fluctuating Wind

As the importance of sustainable energy increases, wind power generation systems utilizing wind energy around high-rise buildings are being developed. However, in existing wind turbine systems, it is necessary to solve noise, vibration problems, and structural issues for the installation of large-sized systems. In addition, small wind turbine systems can be installed only in limited areas such as roofs and corners, because their efficiency is limited to high and stable wind speed. For this reason, the distribution of fluctuating wind pressure around high-rise buildings was analyzed, and its feasibility as an energy source was evaluated, reflecting that fluctuating wind pressure can be used in vibration-based energy-harvesters. To achieve this, firstly, experimental conditions and theories were established to check the characteristic of wind pressure around high-rise buildings. The experiment was divided into the environment without surrounding buildings and the urban environment. Next, the pressure distribution around high-rise buildings and the quantitative results obtained from the experiment were determined. Finally, based on the results obtained from the experiments, the feasibility of fluctuating wind pressure as an energy-harvesting source was analyzed. From this study, it was found that fluctuating wind pressure can be used as a new energy source at new locations of high-rise buildings that were not utilized previously.

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