52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2011
DOI: 10.2514/6.2011-1896
|View full text |Cite
|
Sign up to set email alerts
|

Crashworthiness Optimization of Vehicle Structures Made of a Lightweight Magnesium Alloy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2016
2016

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 6 publications
0
2
0
Order By: Relevance
“…Recent studies [27][28][29][30][31] have shown that radial basis function (RBF) based metamodels are suitable for representation of highly nonlinear responses using relatively small number of training points. In the coupled process-performance FE simulations, it is required to perform deep drawing, springback, and crush simulations in sequence.…”
Section: Multi-level Ooptimization Problemmentioning
confidence: 99%
“…Recent studies [27][28][29][30][31] have shown that radial basis function (RBF) based metamodels are suitable for representation of highly nonlinear responses using relatively small number of training points. In the coupled process-performance FE simulations, it is required to perform deep drawing, springback, and crush simulations in sequence.…”
Section: Multi-level Ooptimization Problemmentioning
confidence: 99%
“…In addition, Andersson and Redhe optimised the intrusion range and vehicle peak acceleration value with the response surface method (RSM) and multi-objective optimisation method to improve the vehicle crashworthiness [1]. Parrish et al used AZ31 magnesium alloy on 22 auto parts in the simulation to study the vehicle intrusion, acceleration, and internal energy [17]. And optimisation design was carried out based on polynomial response surface, Gaussian process, the radial basis function, Kriging model, and integrated broker model supporting vector regression.…”
Section: Introductionmentioning
confidence: 99%