Proceedings of the 9th National Conference on Wind Engineering

Prof. Sabareesh Geetha Rajasekharan is an associate professor at the Department of Mechanical Engineering, BITS-Pilani, Hyderabad Campus. He completed his Ph.D. and post-doctoral studies in the field of Wind Engineering at Tokyo Polytechnic University, Japan. He has to his credit more than 80 publications in international journals/conferences. He has ongoing/completed multiple projects to the tune of 2.2 crore funded by DST/DRDO/other agencies. Under him, 4 Ph.D. students have graduated and are presently guiding 3 students. His fields of interest are in Wind Engineering, Fluid Structure Interaction, Vibrations, Condition Monitoring, Machine Learning and Artificial Intelligence. He is also a recipient of Best Master’s Thesis Award in the field of wind engineering constituted by Indian Society of Wind Engineering. Prof. S. Arunachalam, till recently, worked as the director, Wind Engineering Application Centre, Jaypee University of Engineering & Technology, Guna, in M.P., since2013. Earlier, he has worked as a chief scientist and the head, Wind Engineering Laboratory at CSIR-SERC, Chennai, for about 30 years. He obtained his B.E. (Civil) from Madras University and M.S. (Civil) and Ph.D. from IIT, Madras, and from IISc, Bangalore, respectively. His fields of research interest include wind effects on buildings and structures, boundary layer wind tunnel testing and cyclone disaster mitigation. He is a recipient of CSIR-DAAD and CSIR-UNDP Fellowships. He has published over 105 research papers in journals and conferences and about 200 technical and consultancy reports. He is a fellow of Indian National Academy of Engineering and Institution of Engineers (India). As a team member, he has contributed to Indian Standards on wind loads. Dr. P. Harikrishna is currently a chief scientist and the head of Wind Engineering Laboratory, CSIR—Structural Engineering Research Centre (CSIR-SERC), Chennai. He obtained his B.E. (Civil Engineering) from Andhra University,Waltair, M.E. (Structural Engg.) from Anna University, Chennai, and Ph.D. from Indian Institute of Technology—Madras, Chennai. His major areas of research interests include wind engineering, wind effects on tall buildings, lattice towers, cooling towers, chimneys and bridge decks, computational fluid dynamics (CFD), application of data mining/ML algorithms and small wind turbines. He has published 18 papers in SCI Journals and 11 papers in reputed national journals. Dr. Harikrishna received UNDP Fellowship in 1994, A.S. ARYA-UOR Disaster Prevention Award in 2000, Dr. Jai Krishna Medal in 2001, Dr. M. Ramaiah Award in 2004 and Springer Best Paper Award in 2016. Currently, he is a member of various BIS codal committees relevant to wind loads.

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 in industrial 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.