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020 _a9789819941834
024 7 _a10.1007/978-981-99-4183-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTJ820
_b2024 EB
245 0 0 _aProceedings of the 9th National Conference on Wind Engineering
_cedited by Sabareesh Geetha Rajasekharan, Srinivasan Arunachalam, Pabbisetty Harikrishna
250 _a1st ed. 2024
264 1 _aSingapore
_bSpringer International Publishing
_c2024
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aLecture Notes in Mechanical Engineering
_x2195-4364
505 0 _aChapter 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.
520 _aThe 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.
988 _aSpringer_Engineering_2024
650 7 _2embne
_9139500
_aEnergía eólica
_vCongresos y asambleas
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-4183-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2024
_dz
_eb
_zSI