SAE Technical Paper Series 1998
DOI: 10.4271/980021
|View full text |Cite
|
Sign up to set email alerts
|

Modeling of Vehicle Rollover and Evaluation of Occupant Injury Potential Using MADYMO

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2000
2000
2017
2017

Publication Types

Select...
3
2
2

Relationship

0
7

Authors

Journals

citations
Cited by 23 publications
(4 citation statements)
references
References 3 publications
0
4
0
Order By: Relevance
“…In 1995, computer simulations using ATB were reported by Cheng to predict passenger ejection and minimal driver impacts for a rollover accident [17,18]. In 1998, Renfroe et al used MADYMO to model a rollover crash test with dummies reporting good agreement between simulation and test [19]. Also in 1998, Friedman and Mobrem reported using finite element modeling with optimization to demonstrate improved roof strength [13].…”
Section: Introductionmentioning
confidence: 94%
“…In 1995, computer simulations using ATB were reported by Cheng to predict passenger ejection and minimal driver impacts for a rollover accident [17,18]. In 1998, Renfroe et al used MADYMO to model a rollover crash test with dummies reporting good agreement between simulation and test [19]. Also in 1998, Friedman and Mobrem reported using finite element modeling with optimization to demonstrate improved roof strength [13].…”
Section: Introductionmentioning
confidence: 94%
“…None of these are rollover finite-element models. However, it has to be mentioned that several vehicle rollovers have been modelled and validated in rigid lump mass body codes such as EDVSM, ADAMS and MADYMO [9][10][11][12].…”
Section: Static and Dynamic Roof Crush Simulation Using Ls-dyna3dmentioning
confidence: 99%
“…Renfroe [21] used the MADYMO program to simulate vehicle rollover, comparing their results with video footage and data from an actual FMVSS 208 rollover test conducted by the NHTSA. The exterior was modeled as a series of approximately 40 strategically located surface nodes.…”
Section: Simulationmentioning
confidence: 99%