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Models and applications in Computational Fluid Mechanics

Course Type: 
PhD Course
Academic Year: 
2022-2023
Period: 
June
Duration: 
20 h
Description: 

The course refers to the use of computational fluid dynamics techniques to address advanced applications in environmental, cardiovascular and industrial contexts. Each topic will be corroborated by a set of numerical examples to be performed within the open source C++ finite volume library OpenFOAM.

Please contact mgirfogl@sissa.it if you need more info. If you plan to attend in order to provide you links to lectures, exercise sessions as well as to material and software instructions, please compile this form:

 
Content:
  • Introduction to Finite Volume discretization

First module: Ocean and Atmospheric Flows

  • Navier-Stokes equations in stream function-vorticity formulation
  • Quasi Geostrophic equations
  • Compressible Euler equations with buoyancy effects

Second module: Cardiovascular Flows

  • Multiscale modelling for the simulation of the blood flows in idealized geometries
  • Applications to patient-specific configurations

Third module: Examples of Industrial Applications

  • Multiphase and conjiugate heat transfer modelling for refrigeration systems
  • Fluid-solid modeling for pharmaceutical applications
 
Schedule/Location:  
Lectures and Exercise sessions will be offered in presence at SISSA (Bonomea campus) and online on Zoom platform (CET zone) on request.
  • Monday, June 19, 2023 - 10:30 to 12:30 - lecture in 134
  • Monday, June 19, 2023 - 15:30 to 17:30 - lecture in 134
  • Wednesday June 21, 2023 - 10:30 to 12:30 - lecture in 133
  • Wednesday June 21, 2023 - 15:30 to 17:30 - lecture in 133
  • Friday June 23, 2023 - 10:30 to 12:30 - lecture in 134
  • Friday June 23, 2023 - 15:30 to 17:30 - lecture in 134
  • Monday, June 26, 2023 - 10:30 to 12:30 - lecture in 134
  • Monday, June 26, 2023 - 15:30 to 17:30 - lecture in 134
  • Wednesday June 28, 2023 - 10:30 to 12:30 - lecture in 133
  • Wednesday June 28, 2023 - 15:30 to 17:30 - lecture in 133

 

Next Lectures: 

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