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Multidisciplinary System Optimisation on the Design of Cost Effective Space Launch Vehicle Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Multidisciplinary Optimisation of an Automotive Body-in-White Structure Using Crushable Frame Springs and Sub Space Metamodels in Trust-Regions

Authors : Charles Mortished, Jonathan Ollar, Peter Benzie, Royston Jones, Johann Sienz, Vassili Toropov

Published in: Advances in Structural and Multidisciplinary Optimization

Publisher: Springer International Publishing

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Abstract

A metamodel based multidisciplinary design optimisation of a reduced fidelity automotive body in white model is presented. The considered disciplines are global stiffness, local attachment point stiffness and crashworthiness.
The crushable structure in the crash model consists of so called crushable frame springs which can be used to represent the non-linear crushing response of thin-walled tubes in reduced fidelity models. Such springs need characterisation requiring component level finite element analysis. This means that even though the reduced fidelity models are much less computationally expensive than a full shell model, it is still far more expensive to evaluate than the model used for static stiffness.
The multidisciplinary design optimisation is therefore carried out using a method for taking into account disparity in design variable dependence of the disciplines. This design variable dependence is specified by the designer and used to build metamodels in the reduced space of the significant variables to each discipline. This decreases the required number of points for each metamodel, and hence the associated computational cost for their evaluation. The method is implemented within the optimisation framework known as the mid-range approximation method together with a recovery mechanism for erroneous identification of significant variables.
It is shown that crushable frame springs can be used together with sub space metamodels in a trust-region framework in order to carry out reduced fidelity multidisciplinary optimisation of automotive structures including both NVH and crash load cases.

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previous chapter Automatic Generation, Validation and Correlation of the Submodels for the Use in the Optimization of Crashworthy Structures
next chapter Topology Optimization of Thin-Walled Structures Under Static/Crash Loading Case in the Hybrid Cellular Automaton Framework
Footnotes
1
The model was developed by the National Crash Analysis Center (NCAC), The George Washington University, Washington, USA.
 
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Metadata
Title
Multidisciplinary Optimisation of an Automotive Body-in-White Structure Using Crushable Frame Springs and Sub Space Metamodels in Trust-Regions
Authors
Charles Mortished
Jonathan Ollar
Peter Benzie
Royston Jones
Johann Sienz
Vassili Toropov
Copyright Year
2018
Book
Advances in Structural and Multidisciplinary Optimization

Print ISBN: 978-3-319-67987-7

Electronic ISBN: 978-3-319-67988-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67988-4_118

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