scholarly journals Wind load prediction on single tree with integrated approach of L-system fractal model, wind tunnel, and tree aerodynamic simulation

AIP Advances ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 075202
Author(s):  
Hee Joo Poh ◽  
Woei Leong Chan ◽  
Daniel J. Wise ◽  
Chi Wan Lim ◽  
Boo Cheong Khoo ◽  
...  
Keyword(s):  
Wind Tunnel ◽  
Integrated Approach ◽  
Fractal Model ◽  
Wind Load ◽  
Load Prediction ◽  
Single Tree ◽  
L System ◽  
Aerodynamic Simulation

WIND LOAD PREDICTION OF LARGE-SPAN DRY COAL SHEDS BASED ON GRNN AND ITS APPLICATION

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Ying Sun ◽  
Lin Yang ◽  
Yue Wu
Keyword(s):  
Wind Tunnel ◽  
Prediction Models ◽  
Peak Frequency ◽  
Wind Load ◽  
Wind Pressure ◽  
Generalized Regression Neural Network ◽  
Load Prediction ◽  
Spectral Parameters ◽  
Wind Tunnel Tests ◽  
Large Span

The distribution and fluctuation of wind load on large-span dry coal sheds are complicated. Wind load on typical shape of roofs can be sometimes determined based on the wind tunnel tests carried out on roofs of similar shape. To expand the application scope of the test data, Generalized Regression Neural Network (GRNN) is introduced. The prediction models on large-span dry coal are given, where the wind load is expressed by eight parameters: mean, RMS, skewness, kurtosis of wind pressure coefficients, three auto-spectral parameters (including descendent slope in high frequency range, peak reduced spectrum and reduced peak frequency) and coherence exponent for cross-spectra. Cross validation and trails are carried out to determine the parameter in the GRNN model. Further, the wind load prediction is applied on a dry coal shed shell. The wind-induced responses are calculated and compared with the results of wind tunnel tests, with extremely close result. Therefore, it can be concluded that GRNN is feasible in predicting wind load on roof structures.

Wind load investigation of self-supported lattice transmission tower based on wind tunnel tests

2022 ◽  
Vol 252 ◽  
pp. 113575
Author(s):  
Wentong Zhang ◽  
Yiqing Xiao ◽  
Chao Li ◽  
Qingxing Zheng ◽  
Yanan Tang
Keyword(s):  
Wind Tunnel ◽  
Wind Load ◽  
Transmission Tower ◽  
Wind Tunnel Tests

Experimental study of wind load on tree using scaled fractal tree model

2020 ◽  
Vol 34 (14n16) ◽  
pp. 2040087 ◽  
Author(s):  
Woei Leong Chan ◽  
Yongdong Cui ◽  
Siddharth Sunil Jadhav ◽  
Boo Cheong Khoo ◽  
Heow Pueh Lee ◽  
...  
Keyword(s):  
Wind Tunnel ◽  
Drag Coefficient ◽  
Landscape Planning ◽  
Reynolds Shear Stress ◽  
Wind Load ◽  
Force Balance ◽  
Particle Image Velocimetry System ◽  
Tree Model ◽  
Daunting Task ◽  
Species Specific

Green urbanism has stimulated more research on the aerodynamics of tree in recent years. The insight gained in studying wind load on trees would mitigate risk of tree falling and enable sustainable landscape planning. However, deciphering the effect of wind on trees is a daunting task because trees come in various species, shapes and sizes. In this study, we aim at conducting wind tunnel tests on various species of trees, including measuring the respective drag coefficient and turbulent flow field using a force balance and particle image velocimetry system. The wind tunnel experiment is conducted using scaled down fractal tree model at 10 and 15 m/s. The 3D-printed tree model is grown based on the data collected on the species-specific tree parameters, such as the height, trunk diameters, crown box dimensions, etc. In this paper, the wind tunnel result of Yellow Flame (Peltophorum pterocarpum) is presented. Results show that the drag coefficient for this inflexible tree model is not sensitive to wind speed. The Reynolds shear stress and turbulence kinetic energy are observed to be the largest at the top and bottom of the crown where the velocity gradients are the highest.

scholarly journals Wind Load Factors for Use in the Wind Tunnel Procedure

2017 ◽  
Vol 3 (4) ◽  
pp. 04017007 ◽  
Author(s):  
Emil Simiu ◽  
Adam L. Pintar ◽  
Dat Duthinh ◽  
DongHun Yeo
Keyword(s):  
Wind Tunnel ◽  
Wind Load ◽  
Load Factors

The Wind Tunnel Experiment Study of Wind Load on Jack-Up Drilling Unit

2012 ◽  
Author(s):  
Lin Yi ◽  
An-kang Hu ◽  
Jiang Wei ◽  
Xiong Fei
Keyword(s):  
Wind Tunnel ◽  
Wind Load ◽  
Wind Tunnel Experiment ◽  
Shape Coefficient ◽  
Reynolds Number Effects ◽  
Calculation Results ◽  
Drilling Unit ◽  
Aerodynamic Interference ◽  
Storm Condition ◽  
Jack Up

Owing to the characteristics of the Jack-up drilling unit, the environment loads are important factors to the structure safety of jack-up. The wind load takes up a much larger proportion in structure analysis, and it has been now paid more and more attention in the field of offshore engineering. According to the MODU rule, the projected area method is used to calculate wind load. The height coefficient Ch and shape coefficient Cs are chosen by experience listed in MODU rule. However, the aerodynamic interference between platform components, such as wind shielding effects and acceleration flow effects are ignored. So the calculation results in accordance with MODU rule are conservative, and not good for structure optimization designing to some degree. Therefore, the wind tunnel experiment is very important and necessary. In this paper, a 400ft jack-up, which is developed by CIMC, is studied as an example. Considering the Reynolds number effects, the wind loads of jack-up both in normal drilling condition and severe storm condition are obtained in the experiment. Compared with the results, which are calculated according to MODU rule, it indicates that the experiment results are less, and the effect of aerodynamic interference and updraft can’t be ignored.

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