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There are many situations in which a computational approach is the ideal one for studying a problem. For example, in studying the flow of air in the breathing tract of a human, one can hardly do experiments! And even if we could experiment, how could we *see* what is happening? By simulation, we can both perform virtual experiments of the flow of fluids, and visualize the results in a myriad ways. Computational Fluid Dynamics (CFD) is vital for many applications of science and engineering. This course is designed for graduate students or advanced undergraduates.

Professor Lorena A Barba
Mechanical Engineering Department
Boston University

# Computational Fluid Dynamics - ENG ME702 - Video Boston University

• Technologie

There are many situations in which a computational approach is the ideal one for studying a problem. For example, in studying the flow of air in the breathing tract of a human, one can hardly do experiments! And even if we could experiment, how could we *see* what is happening? By simulation, we can both perform virtual experiments of the flow of fluids, and visualize the results in a myriad ways. Computational Fluid Dynamics (CFD) is vital for many applications of science and engineering. This course is designed for graduate students or advanced undergraduates.

Professor Lorena A Barba
Mechanical Engineering Department
Boston University

• video
Welcome to the course for iTunes subscribers

## Welcome to the course for iTunes subscribers

• 15 Min.
• video
Lecture 1: Introduction to Computational Fluid Dynamics.

## Lecture 1: Introduction to Computational Fluid Dynamics.

• 57 Min.
• video
Lecture 2: finite differences, model equations, and assignment steps 1 to 4

## Lecture 2: finite differences, model equations, and assignment steps 1 to 4

• 1 Std. 9 Min.
• video
Lecture 3: FD explicit/implicit methods; Crank-Nicholson method; assignment steps 5 to 8

## Lecture 3: FD explicit/implicit methods; Crank-Nicholson method; assignment steps 5 to 8

• 1 Std. 9 Min.
• video
Lecture 4: Analysis of numerical schemes; consistency, stability, convergence.

## Lecture 4: Analysis of numerical schemes; consistency, stability, convergence.

• 57 Min.
• video
Lecture 5: Analysis of numerical schemes; modified differential equation. Von Neumann stability analysis. Examples.

## Lecture 5: Analysis of numerical schemes; modified differential equation. Von Neumann stability analysis. Examples.

• 1 Std. 25 Min.

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