Robust Design - Vehicle Development under Uncertainty

课程介绍

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.

谁该参加?

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.

课程目标

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.

课程内容

• 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 of Munich

Since 2010, Prof. Dr.-Ing. habil. Fabian Duddeck is the head of the research group on optimization and robustness at the Technical University of Munich (TUM, Chair of Computational Mechanics, www.bgu.tum.de/cm). 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.

本课程也可以上门培训。培训讲师前往贵公司--节省客户的时间和移动费用。进一步联系。

德国联系人

Dr. Dirk Ulrich
电话: 06023 - 96 40 - 66
dirk.ulrich@carhs.de

现在就问！