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Title: Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations

Abstract

Reynolds-averaged Navier–Stokes models are not very accurate for high-Reynolds-number compressible jet-in-crossflow interactions. The inaccuracy arises from the use of inappropriate model parameters and model-form errors in the Reynolds-averaged Navier–Stokes model. In this study, the hypothesis is pursued that Reynolds-averaged Navier–Stokes predictions can be significantly improved by using parameters inferred from experimental measurements of a supersonic jet interacting with a transonic crossflow.

Authors:
 [1];  [1];  [2];  [2]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1325717
Report Number(s):
SAND-2016-0826J
Journal ID: ISSN 0001-1452; 643550
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
AIAA Journal
Additional Journal Information:
Journal Volume: 54; Journal Issue: 8; Journal ID: ISSN 0001-1452
Publisher:
AIAA
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Ray, Jaideep, Lefantzi, Sophia, Arunajatesan, Srinivasan, and Dechant, Lawrence. Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations. United States: N. p., 2016. Web. doi:10.2514/1.J054758.
Ray, Jaideep, Lefantzi, Sophia, Arunajatesan, Srinivasan, & Dechant, Lawrence. Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations. United States. doi:10.2514/1.J054758.
Ray, Jaideep, Lefantzi, Sophia, Arunajatesan, Srinivasan, and Dechant, Lawrence. Tue . "Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations". United States. doi:10.2514/1.J054758. https://www.osti.gov/servlets/purl/1325717.
@article{osti_1325717,
title = {Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations},
author = {Ray, Jaideep and Lefantzi, Sophia and Arunajatesan, Srinivasan and Dechant, Lawrence},
abstractNote = {Reynolds-averaged Navier–Stokes models are not very accurate for high-Reynolds-number compressible jet-in-crossflow interactions. The inaccuracy arises from the use of inappropriate model parameters and model-form errors in the Reynolds-averaged Navier–Stokes model. In this study, the hypothesis is pursued that Reynolds-averaged Navier–Stokes predictions can be significantly improved by using parameters inferred from experimental measurements of a supersonic jet interacting with a transonic crossflow.},
doi = {10.2514/1.J054758},
journal = {AIAA Journal},
number = 8,
volume = 54,
place = {United States},
year = {2016},
month = {5}
}

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Cited by: 1 work
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