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Title: Bayesian Analysis of RANS Models

This work demonstrates the advantages of using a Bayesian framework to analyze and calibrate BHR3.1, the main mix model under development at LANL and supported by both Science Campaigns and ASC.
Authors:
 [1] ;  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
OSTI Identifier:
1257091
Report Number(s):
LA-UR--16-23919
TRN: US1601485
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; RAYLEIGH-TAYLOR INSTABILITY; TURBULENCE; NAVIER-STOKES EQUATIONS; MATHEMATICAL MODELS; CALIBRATION; INERTIAL CONFINEMENT RANS; Bayesian Analysis; Turbulence Modeling