Degrees incorporating this pedagocial element :
Description
In a very broad acceptation, shape and topology optimization is about finding the best domain (which may represent, depending on applications, a mechanical structure, a fluid channel,…) with respect to a given performance criterion (e.g. robustness, weight, etc.), under some constraints (e.g. of a geometric nature). Fostered by its impressive technological and industrial achievements, this discipline has aroused a growing enthusiasm among mathematicians, physicists and engineers since the seventies. Nowadays, problems pertaining to fields so diverse as mechanical engineering, fluid mechanics or biology, to name a few, are currently tackled with optimal design techniques, and constantly raise new, challenging issues.
The purpose of this course is to discuss the main aspects related to the numerical resolution and the practical implementation of shape and topology optimization problems, and to present state-of-the-art elements of response. It focuses as well on the needed theoretical ingredients as on the related numerical considerations. More specifically, the following issues will be addressed:
via the solution of a Partial Differential Equation posed on it;
and to deal with their evolution in the course of the optimization process.
Recommended prerequisite
Only a basic knowledge of functional analysis and scientific computing will be assumed: differential calculus, Finite Element method, etc.
In brief
Period : Semester 9Credits : 3
Number of hours
- Lectures (CM) : 18h
Language(s) : English
Contact(s)
Eric Bonnetier