Calibration of Modified Spalart-Ailmaras Model Parameters for Linear Compressor Cascade Corner Flow
Calibration of Modified Spalart-Allmaras Model Parameters for Linear Compressor Cascade Corner Flow作者机构:IHI CorporationAkishima 196-8686Japan Notre Dame Turbomachinery LaboratorySouth Bend 46601USA Department of Aerospace and Mechanical EngineeringUniversity of Notre DameNotre Dame 46556USA
出 版 物:《Journal of Thermal Science》 (热科学学报(英文版))
年 卷 期:2022年第31卷第1期
页 面:163-172页
核心收录:
学科分类:082502[工学-航空宇航推进理论与工程] 08[工学] 0825[工学-航空宇航科学与技术]
主 题:compressor corner flow turbulence model calibration
摘 要:In this study,Bayesian parameter calibration is applied to Saplart-Allmaras(SA)turbulence model,and the prediction improvement by the calibrated model is *** quantity of interest(QOI)is the pitch-wise distribution of Mach number in the comer separation flow *** 10 model parameters included in the SA model with Rotation-Curvature correction are considered as random variables obeying uniform prior probability *** order of generalized Polynomial Chaos(gPC)used for sensitivity analysis and surrogate model in calibration is incrementally increased during the calibration *** convergence is obtained at the 3rd order expansion level in this *** this final level,sensitivity analysis indicates 3 model parameters,cbl,k and cr3 are the most influential random variables,and 3-parameter Bayesian calibration is *** likelihood function in the Bayesian theorem is specified in the form of Gaussian distribution,including experimental *** combination of prior and likelihood brings the posterior distribution of model parameters,and Maximum A Posterior(MAP)value is selected as a calibrated parameter *** flow simulation with calibrated parameters shows a significant increase in the accuracy of the Mach number profile in the comer separation *** increase in accuracy is attributed to enlarged turbulent viscosity due to the parameter modification of the turbulent viscosity source *** calibrated parameter is also tested in the off-design flow field,not included in the calibration *** calibrated CFD again shows improved accuracy for comer separation prediction,and the effectiveness of the parameter set outside of the calibration field is demonstrated.