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Full Description
The book presents the select proceedings of 9th National Conference on Wind Engineering. It covers the latest technology and research in the areas of wind engineering and wind energy technologies. Various topics covered in this book are wind-resistant design of structures, climate modeling, applications of artificial intelligence and machine learning in fluid mechanics, novel ways to increase the efficiency of wind energy harnessing, characterization of airfoils, modern wind turbine designs and computational wind engineering studies. This book is useful for researchers and professionals in the areas of structural design, wind energy, wind engineering, renewable energy and fluid mechanics.
Contents
Chapter 1. Implementation of a simple CFD tornado simulator in open-source software open FOAM.- Chapter 2. Construction and calibration of a low-speed variable velocity profile wind tunnel.- Chapter 3. Aerodynamic characteristics of an inclined square cylinder with corner fins.- Chapter 4. Effect of unusual terrain on local wind characteristics.- Chapter 5. Vibrational characteristics of the LEP vertical axis wind turbine shaft for various solidity ratios.- Chapter 6. Performance analysis of n-beats and regression learners for wind speed forecasting and predictions.- Chapter 7. Effect of turbulence parameters on along-wind response of tall rectangular buildings.- Chapter 8. Wind pattern and dispersion in a T-intersection street canyon.- Chapter 9. Errors and uncertainties in simulation of unsteady viscous flow over a circular cylinder at Re=48.- Chapter 10. Aerodynamics analysis of industrial wind turbines.- Chapter 11. Computational technique adopted to study vortex formation inindustrial wind turbines.- Chapter 12. Shear lag effect in framed-tube buildings due to torsional wind load.- Chapter 13. Wind-induced interference effects on a 125 m tall RC chimney in typical power plant.- Chapter 14. Studies on 1:300 scale wind tunnel simulation of atmospheric boundary layer characteristics under open terrain conditions using a state-of-the-art boundary layer wind tunnel.- Chapter 15. Tornado Speed Estimation using Convolutional Neural Networks (CNN) and LSTM (Long Short-Term Memory) based Video processing Approach.