Introduction to turbulence
From CFD-Wiki
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** [[Multivariate random vaiables#The bi-variate normal (or Gaussian) distribution| The bi-variate normal (or Gaussian) distribution]] | ** [[Multivariate random vaiables#The bi-variate normal (or Gaussian) distribution| The bi-variate normal (or Gaussian) distribution]] | ||
** [[Multivariate random vaiables#Statistical independence and lack of correlation| Statistical independence and lack of correlation]] | ** [[Multivariate random vaiables#Statistical independence and lack of correlation| Statistical independence and lack of correlation]] | ||
| + | * [[Estimation from a Finite Number of Realizations#Estimation from a Finite Number of Realizations| Estimation from a Finite Number of Realizations]] | ||
| + | ** [[Estimation from a Finite Number of Realizations#Estimators for averaged quantities| Estimators for averaged quantities]] | ||
| + | ** [[Estimation from a Finite Number of Realizations#Bias and convergence of estimators| Bias and convergence of estimators]] | ||
== [[Reynolds averaged equations]] == | == [[Reynolds averaged equations]] == | ||
Revision as of 17:16, 6 June 2006
Contents |
What is turbulence?
The elements of statistical analysis
- The ensemble and Ensemble Average
- Probability
- Multivariate random vaiables
- Estimation from a Finite Number of Realizations
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
