ERCOFTAC
Introductory Course to
Design Optimisation
Registration open. Please register now.
Deadline for registration extended until November 6, 2009.
Berlin,
November 11-13, 2009
Organised by Humboldt University Berlin
and
ERCOFTAC Special Interest Group on Design Optimisation
Local Organiser
Prof. Nicolas Gauger, DLR Braunschweig and Humboldt University Berlin
Content and Topics
The present course will offer an introduction by experts to the basic methods used in design optimisation. These presentations will cover:
- Optimisation Problem Set-Up
- Genetic Algorithms
- Evolutionary Strategies
- Deterministic Methods
- Sensitivity Analysis
- Automatic Differentiation (AD)
- Meta-models / Neural networks
- Commercial Optimisation Tools
- Test Cases for Demonstration on "How It Works"
- Industrial Applications
Furthermore, various test cases (maybe you bring your own application?) are presented for hands-on on-line training provided by code vendors to demonstrate the capabilities of their software, and to develop basic skills in problem definition, set-up of applications, use of different methods and solution evaluation. For each code supplier a PC will be available, enabling participants to compare different software tools and how they might suit own applications.
Lecturers
- Prof. Olaf Frommann, CAOtec and University of Applied Sciences Bremen
- Prof. Nicolas Gauger, DLR Braunschweig and Humboldt University Berlin
- Prof. Kyriakos Giannakoglou, National Technical University of Athens
- Dr. Werner Haase, EADS-MAS Munich
- Dr. Laurent Hascoet, INRIA Sophia Antipolis
- Dr. Gabor Janiga, University of Magdeburg
- Dr. Marcus Meyer, Rolls-Royce Deutschland
- Dr. Alexander Orellano, Bombardier
- Prof. Jacques Periaux, UPC/CIMNE Barcelona
- Prof. Carlo Poloni, ESTECO and University of Trieste
- Prof. Ingo Rechenberg, Berlin University of Technology
- Stephan Schmidt, Trier University
- Prof. Andrea Walther, Paderborn University
Background and Objectives
Computer-optimisation of engineering designs is a powerful emerging technology. Currently, technical designs are based on the intuition and the experience of design engineers. In the future, computer optimisation will assist in the search for optimal technical solutions.
Automated design optimisation technology has already been applied to numerous problems. Many of the applications are in the area of Computational Structural Mechanics (CSM). Computational Fluid Dynamics (CFD) has not been a natural first candidate for the application of optimisation methods, due to the high CPU requirements for CFD simulations. This is a challenge, as optimisation methods require a significant number of solution points in parameter space in order to arrive at an improved design. However, substantial effort has been devoted in recent years to this problem and efficient solution strategies have been developed.
In recognition of the growing importance of Design Optimisation to industrial CFD applications, ERCOFTAC has established a Special Interest Group (SIG). It is intended as a platform for the information exchange from science to industry.
Contact:
Prof. Dr. Nicolas Gauger, E-Mail: info@ercoftac-sig34.hhips.de