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Table of contents
Nomenclature
1 Introduction
1.1 General context
1.2 Industrial motivations in numerical predictions
1.3 Scientific motivations
1.4 PhD objectives and organization of the thesis
2 Literature review
2.1 General remarks about jet physics
2.1.1 Main features of mixing-layers
2.1.2 Subsonic jets
2.1.3 Supersonic jets
2.1.4 Coaxial jets
2.1.5 Summary on jet physics
2.2 Numerical simulation of turbulent jets
2.2.1 Numerical modeling strategy
2.2.2 Numerical schemes
2.2.3 Inflow conditions and modeling of the internal boundary layer
2.2.4 Treatment of complex geometries
2.2.5 Summary on numerical simulations of jets
3 Numerical and experimental methods
3.1 Numerical modeling of turbulent flows
3.1.1 The Navier-Stokes equations for compressible flows
3.1.2 Turbulence modeling
3.1.3 Solving of Navier-Stokes equations
3.1.4 Random Flow Generation technique
3.2 Experimental data set: MARTEL
3.2.1 Geometry and operating conditions
3.2.2 Experimental test rig
3.2.3 Measurements
3.3 Conclusion
4 Effect of ZDES numerical setup on the resolved jet physics
4.1 Introduction
4.2 Mesh generation for ZDES
4.3 Numerical setup
4.3.1 Restrictions for the choice of time steps
4.3.2 Computational description
4.4 Results and discussion
4.4.1 Instantaneous fields
4.4.2 Averaged fields
4.4.3 Spectral analysis
4.5 Conclusion
5 Turbulence injection in ZDES jet simulations
5.1 Numerical settings
5.1.1 Computational description
5.1.2 Spectral acquisition
5.2 Results – discussion
5.2.1 Advection of the turbulence in the ducts
5.2.2 Effects on the overall structure of the jet
5.2.3 Mixing layers development
5.3 Conclusion
6 Conclusions and perspectives
A Preliminary study: steady generative boundary conditions setting
A.1 Numerical setup
A.2 Effect of of total quantity variations on mass flow rates
A.3 General remarks about generative conditions
B Post-processing
B.1 The turbulent stress-tensor
B.1.1 Definitions and hypothesis about the Reynolds stress tensor
B.1.2 Calculation of the filtered Reynolds stress tensor Rij
B.1.3 Calculation of the modeled part SGS
B.1.4 Practical estimation of the Reynolds stress tensor
B.2 The azimutal average
