Checking date: 07/10/2019


Course: 2019/2020

Computational Aerodynamics
(12435)
Study: Master in Aeronautical Engineering (296)
EPI


Coordinating teacher: GARCIA-VILLALBA NAVARIDAS, MANUEL

Department assigned to the subject: Department of Bioengineering and Aerospace Engineering

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Students are expected to have completed
Fluid mechanics Aerodynamics Numerical methods
Competences and skills that will be acquired and learning results.
Good knowledge of advanced fluid mechanics, with special emphasis on computational fluid mechanics and turbulence Good knowledge of internal and external aerodynamics, and in particular numerical aerodynamics.
Description of contents: programme
1 Introduction to Computational Aerodynamics 2 The mathematical models for fluid flow simulations 2.1 The equations of fluid dynamics 2.2 The mathematical nature of the flow equations and boundary conditions 3 Basic Discretization Techniques 3.1 Finite Difference Methods 3.2 Finite Volume Methods 3.3 Structured and Unstructured Grids 4 The analysis of numerical schemes 4.1 Consistency, Stability and Error Analysis 5 The resolution of numerical schemes 5.1 Time integration methods 5.2 Iterative methods for the resolution of algebraic systems 6 Applications to inviscid and/or viscous flows 7 Introduction to Turbulence and its modelling 7.1 Direct numerical simulation (DNS) 7.2 Large Eddy simulation (LES) 7.3 Reynolds-averaged Navier-Stokes (RANS)
Learning activities and methodology
Theory sessions. Problem sessions working individually and in groups. Lab-sessions with mathematical software.
Assessment System
  • % end-of-term-examination 25
  • % of continuous assessment (assigments, laboratory, practicals...) 75
Basic Bibliography
  • C. Hirsch. Numerical Computation of Internal and External Flows. Elsevier. 2007
  • Robert W. MacCormack . Numerical Computation of Compressible and Viscous Flow. AIAA Education Series. 2014
Additional Bibliography
  • J.D. Anderson. Computational Fluid Dynamics. The Basics with applications. McGraw Hill. 1995
  • J.H. Ferziger & M. Peric. Computational Methods for Fluid Dynamics. Springer. 2013
  • S. Pope. Turbulent flows . Cam. Univ. Press. 2000

The course syllabus and the academic weekly planning may change due academic events or other reasons.