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Introduction to turbulence

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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]]
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*  [[Estimation from a finite number of realizations| Estimation from a finite number of realizations]]
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*  [[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#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]]
** [[Estimation from a finite number of realizations#Bias and convergence of estimators| Bias and convergence of estimators]]
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*  [[Generalization to the estimator of any quantity#Generalization to the estimator of any quantity| Generalization to the estimator of any quantity]]
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*  [[Generalization to the estimator of any quantity]]
== [[Reynolds averaged equations and the turbulence closure problem]] ==
== [[Reynolds averaged equations and the turbulence closure problem]] ==

Revision as of 12:00, 18 June 2007

Turbulence
Nature of turbulence
Statistical analysis
Reynolds averaging
Study questions

... template not finished yet!

Nature of turbulence

Elements of statistical analysis

Reynolds averaged equations and the turbulence closure problem

Turbulence kinetic energy

Stationarity and homogeneity

Homogeneous turbulence

Free turbulent shear flows

Wall bounded turbulent flows

Credits

This text was based on "Lectures in Turbulence for the 21st Century" by Professor William K. George, Professor of Turbulence, Chalmers University of Technology, Gothenburg, Sweden.

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