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Author Gorle, C.; Garcia Sánchez, C.; Iaccarino, G. pdf  doi
openurl 
  Title Quantifying inflow and RANS turbulence model form uncertainties for wind engineering flows Type A1 Journal article
  Year (down) 2015 Publication Journal of wind engineering and industrial aerodynamics T2 – 6th International Symposium on Computational Wind Engineering (CWE), JUN 08-12, 2014, Hamburg, GERMANY Abbreviated Journal J Wind Eng Ind Aerod  
  Volume 144 Issue 144 Pages 202-212  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract Reynolds-averaged Navier-Stokes (RANS) simulations are often used in the wind engineering practice for the analysis of turbulent bluff body flows. An approach that allows identifying the uncertainty related to the use of reduced-order turbulence models in RANS simulations would significantly increase the confidence in the use of simulation results as a basis for design decisions. In the present study we apply a strategy that enables quantifying these uncertainties by introducing perturbations in the Reynolds stress tensor to simulations of the flow in downtown Oklahoma City. The method is combined with a framework to quantify uncertainties in the inflow wind direction and intensity, and the final result of the UQ approach is compared to field measurement data for the velocity at 13 locations in the downtown area. (C) 2015 Elsevier Ltd. All rights reserved.  
  Address  
  Corporate Author Thesis  
  Publisher Elsevier science bv Place of Publication Amsterdam Editor  
  Language Wos 000360874900023 Publication Date 2015-08-18  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0167-6105 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 2.049 Times cited 22 Open Access  
  Notes Approved Most recent IF: 2.049; 2015 IF: 1.414  
  Call Number UA @ lucian @ c:irua:127843 Serial 4230  
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