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Calibration of Modified Spalart-Ailmaras model Parameters for Linear Compressor Cascade Corner Flow

Journal of Thermal Science 2022年第1期31卷 163-172页

作者： MATSUI Kotaro PEREZ Ethan KELLY TRyan TANI Naoki JEMCOV Aleksandar IHI Corporation Akishima 196-8686Japan Notre Dame Turbomachinery Laboratory South Bend 46601USA Department of Aerospace and Mechanical Engineering University of Notre DameNotre Dame 46556USA

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.

关键词： compressor corner flow turbulence model calibration

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turbulence models of Hydrodynamic Lubrication

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Journal of Shanghai University(English Edition) 2003年第4期7卷 305-314页

作者：张直明王小静孙美丽 Research Institute of Bearings Shanghai University Shanghai 200072 China

The main theoretical turbulence models for application to hydrodynamic lubrication problems were briefly reviewed, and the course of their development and their fundamentals were explained. Predictions by these models on flow fields in turbulent Couette flows and shear-induced countercurrent flows were compared to existing measurements, and Zhang & Zhang's combined k-ε model was shown to have surpassingly satisfactory results. The method of application of this combined k-ε model to high speed journal bearings and annular seals was summarized, and the predicted results were shown to be satisfactory by comparisons with existing experiments of journal bearings and annular seals.

关键词： hydrodynamic lubrication turbulence model bearing seal tribology.

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Numerical Simulation of Air Distribution for Tianjin Subway Station

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Transactions of Tianjin University 2002年第4期8卷 251-254页

作者：王良柱王莱涂光备天津大学环境科学与工程学院天津300072 天津大学理学院天津300072

In rebuilding Tianjin Metro, numerical simulations are performed to evaluate the original design of the ventilation system of Southwest Station and a new system is given to optimize the velocity and temperature fields at the station. Field measurements are conducted to validate the turbulence model and acquire boundary conditions. The simulation result tallies with testing data on the sport that is found that two-equation turbulence model is acceptable in simulating complex flow at the station. A method of simplifying the simulation of the transient flow at the station into steady flow is used and the validation criterion for this simulation is also given.

关键词： Computational fluid dynamics(CFD) field measurements turbulence model subway station

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