J
Jeffrey Richard Crandall
Researcher at University of Virginia
Publications - 388
Citations - 8442
Jeffrey Richard Crandall is an academic researcher from University of Virginia. The author has contributed to research in topics: Poison control & Hybrid III. The author has an hindex of 45, co-authored 387 publications receiving 7688 citations.
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Journal ArticleDOI
Linear and quasi-linear viscoelastic characterization of ankle ligaments.
TL;DR: Ligament behavior was found to be nonlinear viscoelastic, but could be adequately modeled up to 15 percent strain using Fung's quasilinear viscoELastic (QLV) model.
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Nonlinear viscoelastic effects in oscillatory shear deformation of brain tissue.
TL;DR: Under finite strains, the linear complex modulus showed nonrecoverable asymptotic strain conditioning behavior and the threshold of functional failure of the neural tissue were shown to be related to this strain conditioning effect.
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Designing road vehicles for pedestrian protection
TL;DR: The lack of effort devoted to vehicle modifications for pedestrian safety has stemmed primarily from a societal view that the injury caused by a large, rigid vehicle hitting a small, fragile pedestrian cannot be significantly reduced by alterations to the vehicle structure.
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Pedestrian crashes: higher injury severity and mortality rate for light truck vehicles compared with passenger vehicles.
Bahman Sayyar Roudsari,Charles Mock,Robert Kaufman,David C. Grossman,Basem Y. Henary,Jeffrey Richard Crandall +5 more
TL;DR: In this paper, the authors found that pedestrians struck by light-truck vehicles had a higher risk (29%) of severe injuries (abbreviated injury scale ⩾4) compared with passenger vehicles (18%).
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Rib fractures under anterior–posterior dynamic loads: Experimental and finite-element study
Zuoping Li,Matthew W. Kindig,Jason R. Kerrigan,Costin D. Untaroiu,Damien Subit,Jeffrey Richard Crandall,Richard W. Kent +6 more
TL;DR: Results indicated that both all-hex and hex-shell modeling strategies were applicable for simulating rib responses and bone fractures for the loading conditions considered, but coarse hex- shell models with constant or variable shell thickness were more computationally efficient and therefore preferred.