Checking date: 04/11/2022

Course: 2023/2024

Computational Aerodynamics
Master in Aeronautical Engineering / Máster Universitario en Ingeniería Aeronáutica (Plan: 328 - Estudio: 296)

Coordinating teacher: FLORES ARIAS, OSCAR

Department assigned to the subject: Aerospace Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
Fluid mechanics Aerodynamics Numerical methods
To acquire an advanced and applied knowledge in numerical methods and computational fluid mechanics, with application to internal and external aerodynamics. To acquire a basic knowledge of turbulence modeling techniques.
Skills and learning outcomes
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 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 modeling 7.1 Direct numerical simulation (DNS) 7.2 Large Eddy simulation (LES) 7.3 Reynolds-averaged Navier-Stokes (RANS)
Learning activities and methodology
LEARNING ACTIVITIES - Theory sessions. - Problem sessions working individually and in groups. - Lab-sessions with mathematical software. - Individual work by the student METHODOLOGY - Teacher's presentations in class with the support of audiovisual media, in which the main concepts of the subject are explained. The corresponding bibliography is provided to complement the student's learning. - Critical reading of texts recommended by the professor of the subject: reports, manuals, and/or academic articles, either for subsequent discussion in class, or to expand and consolidate knowledge of the subject. - Resolution (individually or in groups) of practical cases, problems, etc. - Work on projects and reports, individually or in groups
Assessment System
  • % end-of-term-examination 25
  • % of continuous assessment (assigments, laboratory, practicals...) 75
Calendar of Continuous assessment
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 may change due academic events or other reasons.