This paper describes why stochastic analysis is used for multidisciplinary analyses in the automotive industry, and it summarizes some of the practical issues to be solved as a part of a solution implemented in contemporary development projects. The strengths of the method and considerations made in its implementation have been exemplified with a multidisciplinary mass reduction project which covers different load cases crashworthiness and NVH simulation. Therefore, the method has been used in large-scale multidisciplinary analyses, such as mass reduction while considering a combination of crashworthiness load cases (frontal, offset, side and rear impact) and NVH load cases (static and dynamic stiffness) in the same analysis. With reference to the experience since the first full-scale stochastic crash in 1997, and the increasing pace of adoption in industry, stochastic methods, once considered novel, are now applied in the general engineering work-flow in automotive and aerospace organisations. With reference to the presented application, its scalability and robustness in analysis, basic toolset and process, stochastic methods prove the maturity required for a rapid adoption in contemporary large-scale development processes. How stochastic analysis introduces uncertainty and scatter, manages robustness, and the methods ability of handling complexity and many dimensions of a problem simultaneously, are some motives for its introduction. Both extensive computational and engineering process-oriented issues have to be addressed as a part of a solution.
Implementing stochastic multidisciplinary design improvement - examples and implications
Realisierung einer stochastischen multidisziplinären Entwurfsverbesserung - Beispiele und Hinweise
2003
11 Seiten, 8 Bilder, 12 Quellen
Aufsatz (Konferenz)
Englisch
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