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Erschienen in: Structural and Multidisciplinary Optimization 2/2013

01.08.2013 | Research Paper

Shape optimisation for crashworthiness followed by a robustness analysis with respect to shape variables

Example of a front rail

verfasst von: Stephan Hunkeler, Fabian Duddeck, Milan Rayamajhi, Hans Zimmer

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 2/2013

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Abstract

This paper presents the results of a study on shape optimisation for crashworthiness design of passenger cars based on the software SFE CONCEPT. In contrast to classical morphing approaches, SFE CONCEPT allows for larger geometrical modifications via an implicit parameterisation technique. This is advantageous in particular in the early design phases where different design alternatives are investigated and the optimal and robust geometry needs to be identified. As a first example, the front rail of a standard passenger car is optimised here. This is – as one of the main parts of the body in white – an appropriate example for exploration of optimisation methods. The performance of a classical optimisation approach is analysed and complemented by a robustness analysis where uncertainties in shape parameters are considered.

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Fußnoten
1
Simulation ran with finite element code LS-DYNA Livermore Software Technology Company (2009)
Initial speed of the impactor : \(V_{0}=10\;{\rm m.s}^{-1}\)
Mass of the impactor : \(M_{0}= 500\) kg Beam material type : aluminium, modelled with a piecewise linear plasticity law
Simulated impact duration : 20 ms
Computation time : ca. 3 min. on 4 CPUs Intel Xeon E5520
Length of the beam : 400 mm
 
2
More details on how the software actually uses the method and which parameters allow to tune the optimisation can be found in the documentation Dynardo (2009)
 
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Metadaten
Titel
Shape optimisation for crashworthiness followed by a robustness analysis with respect to shape variables
Example of a front rail
verfasst von
Stephan Hunkeler
Fabian Duddeck
Milan Rayamajhi
Hans Zimmer
Publikationsdatum
01.08.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 2/2013
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-013-0903-z

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