Citation

Bailey A, McMurry T, Salzar R, Crandall J. J. Biomech. Eng. 2019; 141(2): ePub.

Affiliation

University of Virginia, Center for Applied Biomechanics, 4040 Lewis and Clark Drive, Charlottesville, VA 22911.

Copyright

(Copyright © 2019, American Society of Mechanical Engineers)

DOI

10.1115/1.4042012

PMID

30453328

Abstract

Most injury risk functions for dynamic axial loading of the leg have been targeted toward automotive applications such as predicting injury caused by intrusion into the occupant compartment from frontal collisions. Recent focus on leg injuries in the military has led to questions about the applicability of these injury risk functions shorter duration, higher amplitude loading associated with underbody blast. To investigate these questions, data was collected from seven separate test series that subjected post-mortem human legs to axial impact. A force and impulse based Weibull survival model was developed from these studies to estimate fracture risk. Specimen age was included as a covariate to reduce variance and improve survival model fit. The injury criterion estimated 50-percent risk of injury for a 50th-percentile male leg exposed to 13 N s of impulse at peak force and 8.07 kN of force for force durations less than and greater than half the natural period of the leg, respectively. A supplemental statistical analysis estimated that the proposed injury risk function improves injury prediction accuracy by more than 9% compared to the predictions from automobile-based risk functions developed for automotive intrusion. The proposed leg injury risk function not only improves injury prediction for higher-rate conditions, but also provides a single injury prediction tool for an expanded range of load durations ranging from 5 to 90 ms, which spans both automotive and military loading environments.

Language: en