Recorded lectures by Lars Davidson

Lecture 0, introduction

Lecture 1,_exact eqns boussinesq

eBook: Section 11.1.1 -- 11.6

Lecture 2,_k-eps and slow pressure-strain

eBook: Section 11.7.1 -- 11.7.4

Lecture 3,_rapid-pressure modelled RSM buoyancy flow

eBook: part of Section 11.7.5, 11.7.6, 11.10, 11.13, 12.1

Lecture 4, streamline-curvature stagnation flow non-linear k-eps

eBook: Section 12.2, 12.3, 13, 14

Lecture 5,_V2F and SST models

eBook: Section 15, 16

Lecture 6, turbulence spectra cascade process kolmogorov scales 5/3-range

eBook: Section 6

Lecture 7, LES, Smagorinsy model, one-eq k_sgs model

eBook: Section 18.1, 18.2, 18.3, 18.5, 18.6, 18.7, 18.8, 18.9, 18.21, 18.8, 18.9

Lecture 8, The Dynamic Smagorinsky model

eBook: Section 18.11, 18.12, 18,13, 18.20

Lecture 9, Scale-similarity models, resolution, integral length and time scales. URANS, DES

eBook: Section 18.15, 18.16, 18.22, 18.26, 10.1, 10.2, 18.20.1, 19, 20, 20.1

Lecture 10, DDES, one-equation k model and SAS

eBook: Section 20.2, 20.3, 21, 22

Lecture 11, PANS

eBook: Section 23, 23.2, 23.3

Lecture 12, Synthetic inlet turbulent fluctuations

eBook: Section 27.1, 27.2, 27.8, 23.2.1

Recorded Assignment 1 by Marco Fistler

Assignment 1, Introduction

Assignment 1, Introduction to Python

Assignment 1, Explain skeleton for Python4

Assignment 1, Analyzing data

Assignment 1, Momentum and TKE equations

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Assignment 1, Reynolds stress_equations

Assignment 1, StarCCM+


Recorded Assignment 2 by Lars Davidson


Assignment 2a


Assignment 2b








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Department of Mechanics and Maritime Sciences
Division of Fluid Dynamice