Shape Optimization and Robustness Analysis for Multiphysics

General overview of the main air system and secondary air flow pattern of a jet engine, Y Muller.

Illustration of robust design optimization strategies, which identify optima with a reduced variance, Egbert et al. 2008.

Here, the methods developed for mono- and multi-disciplinary optimization (size and shape) are transferred to multi-physics problems. One focus is the development of highly efficient numerical methods for acoustics and other multi-physics problems coupling numerical simulations in the areas of thermal, fluid and structural systems. Hence algorithms for robustness analysis, sensitivity studies, model reduction, design of experiments and shape variation are combined.

Partners:	MTU Aero Engines, Marie Curie EU FP7, SFE GmbH
Kontakt:	G. Antinori, I. Arsenyev, A. Arsenyeva, G. Fender

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Associate Professorship of Computational Solid Mechanics

Prof.Dr.-Ing.habil.
Fabian Duddeck

Room: 0106.02.630
Technische Universität München
Theresienstraße 90 (2nd floor)
80333 München

Phone: +49 (89) 289 - 28656
Fax: +49 (89) 289 - 23933

duddeck(at)tum.de
www.epc.ed.tum.de/cm/