Abstract
Reliability and robustness are two important required features of CFD results. While a huge amount of works address the issue of model and numerical scheme validation, the search for robust models (i.e. models that exhibit a low sensitivity with respect to tuning parameters) and methods which make it possible to measure the sensitivity of the results received much less attention. The present work addresses these two issues.
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© 2008 Springer-Verlag Berlin Heidelberg
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Sagaut, P., Meyers, J., Lucor, D. (2008). Uncertainty Modeling, Error Charts and Improvement of Subgrid Models. In: Peng, SH., Haase, W. (eds) Advances in Hybrid RANS-LES Modelling. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77815-8_4
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DOI: https://doi.org/10.1007/978-3-540-77815-8_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77813-4
Online ISBN: 978-3-540-77815-8
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