Introduction to turbulence
From CFD-Wiki
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** [[Probability #Gaussian (or normal) distributions| Gaussian (or normal) distributions]] | ** [[Probability #Gaussian (or normal) distributions| Gaussian (or normal) distributions]] | ||
** [[Probability #Skewness and kurtosis| Skewness and kurtosis]] | ** [[Probability #Skewness and kurtosis| Skewness and kurtosis]] | ||
| + | * [[Multivariate random vaiables#Multivariate random vaiables| Multivariate random vaiables]] | ||
| + | ** [[Multivariate random vaiables#Joint pdfs and joint moments| Joint pdfs and joint moments]] | ||
| + | ** [[Multivariate random vaiables#The bi-variate normal (or Gaussian) distribution| The bi-variate normal (or Gaussian) distribution]] | ||
== [[Reynolds averaged equations]] == | == [[Reynolds averaged equations]] == | ||
Revision as of 07:27, 1 June 2006
Contents |
What is turbulence?
The elements of statistical analysis
Reynolds averaged equations
- The equations governing the instantaneous fluid motions
- Equations for the average velocity
- The turbulence problem
- The origins of turbulence
Turbulence kinetic energy
Stationarity and homogeneity
Homogeneous turbulence
Free turbulent shear flows
Wall bounded turbulent flows
Credits
This text was based on "Introduction to Turbulence" by Professor William K.George, Chalmers University of Technology, Sweden.
Return to Turbulence modeling
