Course11210190661 lectures
Essentials of Turbulence
Prof. Abhilash J. Chandy · IIT Bombay
Lectures
Week 1
- Lecture 1 : The “despair” in turbulence
- Lecture 2 : Why Study Turbulence?
- Lecture 3 : Some descriptions of turbulence
- Lecture 4 : How to define turbulence?
- Lecture 5 : A brief history of turbulence
Week 2
- Lecture 6 : Characteristics of turbulent flow
- Lecture 7 : Methods of analysis
- Lecture 8 : Origin of turbulence
- Lecture 9 : Diffusivity of turbulence
- Lecture 10 : Length scales in turbulent flows - Part A
Week 3
- Lecture 11 : Length scales in turbulent flows - Part B
- Lecture 12 : Length scales in turbulent flows - Part C
- Lecture 13 : Length scales in turbulent flows - Part D
- Lecture 14 : Nature of turbulent flows and Continuity equation
- Lecture 15 : Momentum equations, Pressure and Conserved scalars
Week 4
- Lecture 16 : Vorticity equation, Rates of strain and rotation
- Lecture 17 : Random nature of turbulence
- Lecture 18 : Characterization of random variables and examples of PDF
- Lecture 19 : Joint random variables, Joint PDFs and Conditional PDFs
- Lecture 20 : Random processes
Week 5
- Lecture 21 : Frequency spectrum and Gaussian process
- Lecture 22 : Random fields and Wavenumber spectra
- Lecture 23 : Reynolds equations
- Lecture 24 : Closure problem in turbulence
- Lecture 25 : Gradient diffusion and Turbulent viscosity hypotheses
Week 6
- Lecture 26 : Energy cascade
- Lecture 27 : Kolmogorov hypotheses Part 1
- Lecture 28 : Kolmogorov hypotheses Part 2
- Lecture 29 : Energy spectrum Part 1
- Lecture 30 : Energy spectrum Part 2
Week 7
- Lecture 31 : Fourier modes and Fourier series representation
- Lecture 32 : The evolution of Fourier modes Part 1
- Lecture 33 : The evolution of Fourier modes Part 2
- Lecture 34 : The kinetic energy of Fourier modes
- Lecture 35 : Velocity spectrum tensor and Energy spectrum function
Week 8
- Lecture 36 : One-dimensional spectra and comparison of spectra
- Lecture 37 : Kolmogorov spectra
- Lecture 38 : Model spectra
- Lecture 39 : Dissipation spectra
- Lecture 40 : Inertial subrange and Energy-containing range
Week 9
- Lecture 41 : Effects of Reynolds number
- Lecture 42 : Energy-spectrum balance
- Lecture 43 : Challenges and modeling approaches
- Lecture 44 : Criteria for appraising models Part 1
- Lecture 45 : Criteria for appraising models Part 2
Week 10
- Lecture 46 : Pseudo-spectral methods for DNS
- Lecture 47 : Computational cost of DNS Part 1
- Lecture 48 : Computational cost of DNS Part 2
- Lecture 49 : Turbulent Viscosity Models
- Lecture 50 : Four conceptual steps in LES
Week 11
- Lecture 51 : Filtering in one-dimension
- Lecture 52 : Spectral representation of LES filter
- Lecture 53 : Filtering in three-dimension
- Lecture 54 : Filtered conservation equations
- Lecture 55 : Smagorinsky model
Week 12
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Bombay
- Department
- Mechanical Engineering
- Teacher
- Prof. Abhilash J. Chandy
- Level
- Undergraduate
- Language
- English
- Subjects
- Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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