Robust Design - Vehicle Development under Uncertainty
The seminar addresses the current state of the art 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.
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.
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.
- Mathematical methods for uncertainty quantification
- Linear and non-linear sensitivity analysis (global / local)
- Design of Experiments (DoE), Response Surface Methods (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
Prof. Dr.-Ing. habil. Fabian Duddeck
Technical University Munich
Prof. Dr.-Ing. habil. Fabian Duddeck leads the research group on optimization and robustness at the Technische Universität München (TUM, Chair of Computational Mechanics, www.cm.bgu.tum.de) since 2010. His research is focusing on numerical methods for optimization of structures with respect of crashworthiness, NVH (noise vibration and harshness), durability, and other disciplines. In this framework, new methods for stochastic modeling and robustness assessments for different types of uncertainties (aleatoric and epistemic) are included. Besides standard approaches using probabilistic theory, possibilistic and special methods for early phase design are developed and applied for problems in automotive, aerospace, and civil engineering.
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