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Lumped-Parameter Modeling of Frontal Offset Impacts

Authors: Alexandra C. Carrera; Stuart G. Mentzer; Randa Radwan Samaha;

Lumped-Parameter Modeling of Frontal Offset Impacts

Abstract

<div class="htmlview paragraph">In the current highway vehicle accident environment a large percentage of fatalities and injuries occur in frontal offset crashes. Computational modeling is being used in support of crashworthiness studies at the National Highway Traffic Safety Administration (NHTSA) to develop an understanding of structural response in offset crash events. This paper presents a lumped-parameter approach to modeling offset impacts. Applications for offset models are discussed, including providing inputs to occupant simulations and as the basis of multipurpose frontal impact models. The role of discretization errors, nonuniaxial motions, and test data dependence and sensitivity in limiting model accuracy is discussed. Extensions to the modeling methodology that will better support offset events are identified.</div>

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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