73346 - Simulation and Modelling in Fluid Dynamics

Academic Year 2023/2024

  • Teaching Mode: Traditional lectures
  • Campus: Forli
  • Corso: Second cycle degree programme (LM) in Aerospace Engineering (cod. 5723)

    Also valid for Second cycle degree programme (LM) in Aerospace Engineering (cod. 5723)

Learning outcomes

The course is meant to provide students with the tools to simulate and understand turbulent flows. This includes basic elements of computational fluid dynamics and turbulence modelling. The student learns how to apply statistical methods to analyse turbulent flows and use his/her comprehension in turbulence to select the appropriate simulation techniques for the various applications.

Course contents

1. Short introduction to fluid mechanics equations and algorithms for the solution of partial differential equations (multi-step and Runge-Kutta methods and finite differences).

2. Convection diffusione equations. Spectral methods. Modified wave number. Von Neuman stability.

3. Discretization methods for Navier-Stokes equations. Projection methods and Poisson equations.

4. Short introduction to the physics of turbulence and its simulation.

5. Simulations techniques for turbulent flows. Direct numerical simulation. RANS (Reynolds Averaged Navier-Stokes) and LES approaches.

The students will be asked to get acquainted with simulations and statistical analysis of turbulence.

Readings/Bibliography

- Lecturer's notes.

-"Computational methods for fluid dynamics" - Joel H. Ferziger and Milovan Peric

- "Fluid mechanics, turbulent flow and turbulence modeling", lecture notes of Prof. Lars Davidson.

- "Turbulent flows", Stephen B. Pope.

Teaching methods

Contact lessons with slides and blackboard.

Assessment methods

The students will be asked to complete courseworks and the exam will consist in the discussion of the reports. 

Office hours

See the website of Elisabetta De Angelis