COMPUTATIONAL OPTIMIZATION IN FLUID DYNAMICS

COMPUTATIONAL OPTIMIZATION IN FLUID DYNAMICS

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Code
60369
ACADEMIC YEAR
2018/2019
CREDITS
6 credits during the 2nd year of 9270 Mechanical Engineering - Energy and Aeronautics (LM-33) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
ING-IND/06
LANGUAGE
Italian
TEACHING LOCATION
GENOVA (Mechanical Engineering - Energy and Aeronautics)
semester
2° Semester
Teaching materials

OVERVIEW

The course aims at providing the students with modern instruments to enable shape optimization in fluid dynamics. In the first part of the course different methods are presented, such as Deterministic optimization, Design of Experiment, Response Surface Modelling, Stochastic Optimization and Robust Design Optimization. In the second part the students will learn some industrial open source codes (Dakota and OpenFOAM) and perform shape optimization of realistic cases. The final exam is a project. 

AIMS AND CONTENT

LEARNING OUTCOMES

Knowledge about modern tools, such as sensitivity analysis, constrained optimization and nonmodal stability analysis, which are useful when analyzing linear systems that evolve in time. The different methods are not only applicable to fluid dynamics problems. A common ingredient to all methods is the efficient computation of sensitivities using so called adjoint equations. The mini projects introduced during the course will give the students the chance to develop, test and document tools which might be useful for future studies.

Teaching methods

The course will be based on a series of conventional lectures, and numerical examples in relation to respective lecture, for the students to set in practice what they learn

SYLLABUS/CONTENT

The course is roughly divided into three parts; sensitivity analysis, constrained optimization and nonmodal stability analysis. The different lectures include both a theoretical part and practical numerical examples in which the students will put into practice what they learn. In order to facilitate the practical part regarding numerical examples, the initial lectures of the course comprise a short repetition regarding basic numerical analysis. At the beginning of the course the students will choose, together with the lecturer, a topic related to the content of the course that they will study both theoretically and numerically. This "mini" project shall be summarized in a report and finally presented at the end of the course. A sample document regarding the report style will be handed out and discussed in the beginning of the course.

RECOMMENDED READING/BIBLIOGRAPHY

Notes and other material will be provided by the instructor and the following textbooks are suggested:

Nocedal, J. & Wright, S.J.,1999, "Numerical optimization", Springer

Henningson, D.S. & Schmid, P.J., 2001, "Stability and transition in shear flows", Springer

LeVeque, R.J.,1998, "Finite Difference Methods for Differential Equations", University of Washington

TEACHERS AND EXAM BOARD

Ricevimento: The teacher receives on appointment at DICCA, Via Montallegro 1, hydraulic laboratory, Genoa. Interviews can be made, even via skype at: janpralits For appointments send an email to: jan.pralits@unige.it.

Exam Board

JAN OSCAR PRALITS (President)

ANDREA MAZZINO

ALESSANDRO BOTTARO

LESSONS

Teaching methods

The course will be based on a series of conventional lectures, and numerical examples in relation to respective lecture, for the students to set in practice what they learn

ORARI

L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.

Vedi anche:

COMPUTATIONAL OPTIMIZATION IN FLUID DYNAMICS

EXAMS

Exam description

A written examination will be performed at two occasions during the course. The final mark will be based on both the project and the two exams.

FURTHER INFORMATION

Pre-requisites :

Aerodynamics, Transition and Turbulence