TY - BOOK ID - 8656705 TI - Progress in hybrid RANS-LES modelling : papers contributed to the 4th Symposium on Hybrid RANS-LES Methods, Beijing, China September 2011 AU - Fu, Song. AU - Symposium on Hybrid RANS-LES Methods PY - 2012 SN - 3642436196 3642318177 9786613944023 3642318185 1283631571 PB - Berlin : Springer, DB - UniCat KW - Engineering -- Congresses. KW - Hydraulic engineering -- Congresses. KW - Mechanics, Applied -- Congresses. KW - Turbulence KW - Eddies KW - Reynolds stress KW - Civil & Environmental Engineering KW - Engineering & Applied Sciences KW - Civil Engineering KW - Engineering - General KW - Mathematical models KW - Apparent stress (Meteorology) KW - Eddy stress (Meteorology) KW - Stress, Reynolds KW - Turbulent shear stress (Meteorology) KW - Virtual stress (Meteorology) KW - Engineering. KW - Fluids. KW - Computational intelligence. KW - Engineering, general. KW - Fluid- and Aerodynamics. KW - Computational Intelligence. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Hydraulics KW - Mechanics KW - Physics KW - Hydrostatics KW - Permeability KW - Construction KW - Industrial arts KW - Technology KW - Dynamic meteorology KW - Fluid dynamics KW - Water currents KW - Whirlpools UR - https://www.unicat.be/uniCat?func=search&query=sysid:8656705 AB - The present book contains contributions presented at the Fourth Symposium on Hybrid RANS-LES Methods, held in Beijing, China, 28-30 September 2011, being a continuation of symposia taking place in Stockholm (Sweden, 2005), in Corfu (Greece, 2007), and Gdansk (Poland, 2009). The contributions to the last two symposia were published as NNFM, Vol. 97 and Vol. 111. At the Beijing symposium, along with seven invited keynotes, another 46 papers (plus 5 posters) were presented addressing topics on Novel turbulence-resolving simulation and modelling, Improved hybrid RANS-LES methods, Comparative studies of difference modelling methods, Modelling-related numerical issues and Industrial applications.. The present book reflects recent activities and new progress made in the development and applications of hybrid RANS-LES methods in general. ER -