CAE-Companion-2018-2019

Engineering

Robust Design - Vehicle Development under Uncertainty

Course Description The seminar addresses the current state of the art

Who should attend? The seminar is proposed for engineers with first experiences in numerical concept and series development of vehicles, who are interested in including robustness, reliability and other aspects of uncertainty management in their industrial designs. Course Contents „ „ Mathematical methods for uncertainty quantification „ „ Linear and non-linear sensitivity analysis (global / local) „ „ Design of Experiments (DoE), Response SurfaceMethods (RSM) „ „ Methods for model order reduction (MOR) „ „ Robustness versus reliability „ „ Robustness in early design stages (Set-based Design und Solution Space Approach) „ „ Methods for resilience, redundancy, model uncertainty „ „ Optimization under uncertainties „ „ Applications taken from acoustics and crashworthiness

complemented by recent achievements in research and development to quantify and control uncertainties (lack-of- knowledge and variations) in vehicular development. Aspects of sensitivity and robustness analysis are discussed as well as topics in reliability, resilience, redundancy and model uncertainty. In addition, numerical methods for optimization with consideration of uncertainties and methods for model order reduction (MOR) to reduce computational effort are discussed. Applications (e.g. NVH, crash) illustrate the usage of the methods and the fact that methods should be adapted to the degree of maturity of the design in the development process. Course Objectives The seminar is focused on methods and their theoretical background to enable the participants to realize applications directly in the industrial context. Hence, uncertainties can be characterized, quantified, and – together with sensitivity analysis – concept and structural evaluations are made possible, which consider robustness, reliability, resilience, and redundancy. Corresponding optimizations can then be realized in an efficient manner.

Prof. Dr.-Ing. Fabian Duddeck (Technical University Munich) leads the research group on optimization and robustness at the Technische Universität München (TUM) since 2010. His research is focus - ing on shape and topology optimization for crash, NVH (noise vibration and harshness) and other disciplines including stochastic modeling and robustness assessments. Holding the chair for Computational Mechanics at the TUM, he also teaches and directs research at Queen Mary University of London (QMUL) and at the French Ecole des Ponts ParisTech (ENPC). His group is involved in industrial as well as national and internation - al research projects. Prof. Duddeck has obtained his PhD (1997) and his Habilitation degree (2001) at the Technische Universität München.

Instructor

DATE

COURSE ID

VENUE

DURATION PRICE

LANGUAGE

06.-07.09.2018 144/3160

Alzenau

2 Days 1.290,- EUR till 09.08.2018, thereafter 1.540,- EUR

Facts

45