21 avsnitt

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

    • Teknologi

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 tim. 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 tim. 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 tim. 25 min

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