Identification of validated multibody vehicle models for crash analysis using a hybrid optimization procedure

Industrial Application

Abstract

The design of components, or particular safety devices, for road vehicles often requires that many analyses are performed to appraise different solutions. Multibody approaches for structural crashworthiness provide alternative methodologies to the use of detailed finite element models reducing calculation time by several orders of magnitude while providing results with the necessary quality. The drawbacks on the use of multibody approaches for crashworthiness are the cumbersome model development process and difficulty of model validation. This work proposes an optimization procedure to assist multibody vehicle model development and validation. First the topological structure of the multibody system is devised representing the structural vehicle components and describing the most relevant mechanisms of deformation. The uncertainty in the model development resides on the constitutive behavior of the plastic hinges used to represent the structural deformations of the vehicle, identified by using the classic multibody approach. The constitutive relations are identified by using an optimization procedure based on the minimization of the deviation between the observed response of the vehicle model and a reference response, obtained by experimental testing or using more detailed models of the vehicle. The identification is supported by a genetic optimization algorithm that enables the characterization of several initial sets of parameters that characterize the plastic hinge constitutive relations in the vicinity of an Edgeworth-Pareto front. Afterwards, a deterministic optimization algorithm is used to identify the accurate minimum. The procedure is demonstrated by the identification of the multibody model of a large family car suitable for front impact.

Keywords

Multibody models Multicriteria optimization Model validation Crashworthiness 

Notes

Acknowledgements

The support of EU through project APROSYS-SP7 with the contract number TIP3-CT-2004-506503, having as partners Mecalog (F), CRF (I), TNO (NL), Politecnico di Torino (I), CIDAUT (ES), Technical University of Graz (A) is gratefully acknowledged. The financial support of the first author received from FCT—Fundação para a Ciência e Tecnologia through grant SFRH/BD/23296/2005 is highly appreciated.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Marta Carvalho
    • 1
  • Jorge Ambrósio
    • 1
  • Peter Eberhard
    • 2
  1. 1.Institute of Mechanical Engineering, Instituto Superior TécnicoTechnical University of LisbonLisbonPortugal
  2. 2.Institute of Engineering and Computational MechanicsUniversity of StuttgartStuttgartGermany

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