Parameter Estimation for RANS Models Using Approximate Bayesian Computation
Parameter Estimation for RANS Models Using Approximate Bayesian Computation
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We use approximate Bayesian computation (ABC) to estimate unknown parameter values, as well as their uncertainties, in Reynolds-averaged Navier-Stokes (RANS) simulations of turbulent flows. The ABC method approximates posterior distributions of model parameters, but does not require the direct computation, or estimation, of a likelihood function. C...
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Parameter Estimation for RANS Models Using Approximate Bayesian Computation
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TN_cdi_proquest_journals_2457442746
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2457442746
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2331-8422
