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Indian Institute of Technology Bombay

Essentials of Turbulence

Indian Institute of Technology Bombay and NPTEL via Swayam

Overview

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ABOUT THE COURSE:Turbulence is a complex and fascinating phenomenon that plays a crucial role in various scientific and engineering disciplines, from aerodynamics and meteorology to astrophysics and industrial flows. This course provides a comprehensive introduction to turbulence, covering its fundamental principles, mathematical modeling, and practical applications.Course Objectives:Understand the physical nature of turbulence and its significance in fluid dynamics.Explore the governing equations of turbulent flows, including the Navier-Stokes equations.Learn about statistical and spectral descriptions of turbulence.Analyze turbulence modeling approaches, such as Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS).Study real-world applications of turbulence in engineering, atmospheric sciences, and beyond.INTENDED AUDIENCE: Mtech/PhD students, Thermal and Fluid EngineersPREREQUISITES: Prerequisite degree: BTechPrerequisite courses: Fluid Mechanics, Engineering MathematicsINDUSTRY SUPPORT: ANSYS, GE, Airbus, Tata motors, Boeing, DRDO, ISRO, HAL, Shell and other companies working in CFD

Syllabus

Week 1: Fundamental considerations of turbulence
  • The "despair" in turbulence
  • Why Study Turbulence?
  • Descriptions of turbulence: How to define turbulence?
  • A brief history of turbulence
  • Eras of turbulent studies

Week 2:The nature of turbulence
  • Irregularity, Diffusivity, Large Reynolds numbers, 3D vorticity fluctuations, Dissipation
  • Methods of analysis
  • Origin of turbulence
  • Diffusivity of turbulence
  • Length scales in turbulent flows

Week 3:Equations of fluid motion
  • Nature of turbulent flows
  • Continuity and momentum equations
  • Role of pressure and conserved scalars; vorticity equation
  • Rates of strain and rotation; transformation properties
  • Reynolds number similarity

Week 4:Statistical description of turbulent flows
  • Random nature of turbulence
  • Characterization of random variables; Examples of PDF
  • Joint random variables; Joint PDFs; Conditional PDFs
  • Random processes; Statistically Stationary Random Processes
  • Statistical Stationarity and homogeneity; Wavenumber spectra

Week 5:Mean flow equations
  • Reynolds equations
  • Closure problem
  • Anisotropy
  • Gradient diffusion hypothesis
  • Turbulent viscosity hypothesis

Week 6:Scales of turbulent motion Part A
  • Energy cascade
  • Kolmogorov hypotheses Part 1
  • Kolmogorov hypotheses Part 2
  • Energy Spectrum Part 1
  • Energy Spectrum Part 2

Week 7:Scales of turbulent motion Part B
  • Fourier modes
  • Fourier series representation
  • Projection Tensor
  • The evolution of Fourier modes
  • The kinetic energy of Fourier models

Week 8:Scales of turbulent motion Part C
  • Velocity spectrum tensor
  • Energy spectrum function
  • Kolmogorov spectra
  • Model spectra
  • Dissipation spectra

Week 9:Modeling and simulation
  • Challenges and modeling approaches
  • Modeling cost and ease of use
  • Direct Numerical Simulation: Pseudo-spectral methods
  • Direct Numerical Simulation: Computational cost
  • Turbulent Viscosity Models

Week 10:Large Eddy Simulations
  • Filtering
  • Spectral representation
  • Resolution of filtered fields
  • Filtering rate of strain
  • Smagorinsky model

Week 11:Turbulent flow applications Part A: Free shear flows
  • Round jet: Experimental observations
  • Round jet: Mean momentum
  • Round jet: Kinetic energy
  • Other self-similar flows: Plane jet and plane mixing layer
  • Other self-similar flows: Plane wake and grid turbulence

Week 12:Turbulent flow applications Part B: Channel flow, pipe flow
  • Channel flow: Near-wall shear stress
  • Channel flow: Mean velocity profiles
  • Channel flow: Length scales and mixing length
  • Pipe flow: friction law
  • Boundary layers

Taught by

Prof. Abhilash J. Chandy

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