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.
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 (DoE), response surface modelling (RSM), Stochastic optimization and Robust Design Optimization (RDO). Theory is alternated with practice in class where the students have the possibility to test, with simple programming examples, the theories explained. In the second part of the course the students will become familiar with some industrial open source codes, such as Dakota and OpenFOAM, and perform shape optimization of realistic cases, such as an aerofoil and a convergent/divergent duct
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
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.
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
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.
JAN OSCAR PRALITS (President)
ALESSANDRO BOTTARO
ANDREA MAZZINO
COMPUTATIONAL OPTIMIZATION IN FLUID DYNAMICS
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.
Pre-requisites :
Aerodynamics, Transition and Turbulence
