The search of efficient shapes for several problems coming from
various kinds of applications has become more and more important in the
recent years, the ultimate goal being the identification of the optimal
shape for a given cost function. The range of applications is very wide
and goes from the design of an efficient insulating layer to the
construction of damping devices for vibrating systems, from the shape
optimization for elastic materials to the analysis of composite
materials, crystal structures and porous media. Some classical problems
can also be included into the shape optimization framework, as for
instance the Newton's problem of the best aerodynamical shape.
The shape optimization problems will be presented as standard
optimization problems, where the unknown runs over a set (the class of
admissible domains) that does not have any linear or convex structure.
So, new methods are needed to study the existence of solutions and the
related necessary conditions of optimality.
The Seminar is intended to give an introduction to the field of
shape optimization through the presentation of several problems and of
the necessary tools to treat them. The presentation will also include
some numerical tools that have been developed recently.
The plan is to have 3 hours of lectures in the mornings, while the
afternoons will be used to discuss topics of the morning session and to
work on exercises. The planned topics are:
- Introduction to shape optimization and some classical problems
- Newton's best aerodynamical shape
- Optimal insulating layers
- Optimal Dirichlet regions
- Compliance optimization and mass transportation problems
- Rearrangements and symmetrizations
- The derivative with respect to the domain
- The moving plane method
- Hausdorff distance and its use for proving existence of minimizers
- Gamma-convergence and relaxation
- Design parametrization (interpolation schemes, composites,etc.)
- Sensitivity analysis (direct and adjoint methods)
- Algorithms (convex approximation schemes and other methods)
- Computational issues (checkerboards, filters)
- An outline of possible applications in industrial problems