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Titlebook: Quality and Reliability of Large-Eddy Simulations II; Maria Vittoria Salvetti,Bernard Geurts,Pierre Saga Conference proceedings 2011 Sprin

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书目名称Quality and Reliability of Large-Eddy Simulations II
编辑Maria Vittoria Salvetti,Bernard Geurts,Pierre Saga
视频video
概述State of the art papers.Well-known expert contributors.Growing field of science.Includes supplementary material:
丛书名称ERCOFTAC Series
图书封面Titlebook: Quality and Reliability of Large-Eddy Simulations II;  Maria Vittoria Salvetti,Bernard Geurts,Pierre Saga Conference proceedings 2011 Sprin
描述The second Workshop on "Quality and Reliability of Large-Eddy Simulations",QLES2009, was held at the University of Pisa from September 9 to September 11,2009. Its predecessor, QLES2007, was organized in 2007 in Leuven (Belgium). Thefocus of QLES2009 was on issues related to predicting, assessing and assuring thequality of LES.The main goal of QLES2009 was to enhance the knowledge on error sources andon their interaction in LES and to devise criteria for the prediction and optimizationof simulation quality, by bringing together mathematicians, physicists and engineersand providing a platform specifically addressing these aspects for LES. Contributions were made by leading experts in the field.The present book contains the written contributions to QLES2009 and is dividedinto three parts, which reflect the main topics addressed at the workshop: (i) SGSmodeling and discretization errors; (ii) Assessment and reduction of computationalerrors; (iii) Mathematical analysis and foundation for SGS modeling.
出版日期Conference proceedings 2011
关键词CFD codes; Large Eddy Simulation; QLES; turbulent flow; fluid- and aerodynamics
版次1
doihttps://doi.org/10.1007/978-94-007-0231-8
isbn_softcover978-94-007-3415-9
isbn_ebook978-94-007-0231-8Series ISSN 1382-4309 Series E-ISSN 2215-1826
issn_series 1382-4309
copyrightSpringer Science+Business Media B.V. 2011
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Conference proceedings 2011ns to QLES2009 and is dividedinto three parts, which reflect the main topics addressed at the workshop: (i) SGSmodeling and discretization errors; (ii) Assessment and reduction of computationalerrors; (iii) Mathematical analysis and foundation for SGS modeling.
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