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Author | Gorle, C.; Garcia Sánchez, C.; Iaccarino, G. | ||||
Title | Quantifying inflow and RANS turbulence model form uncertainties for wind engineering flows | Type | A1 Journal article | ||
Year | 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. | ||||
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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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