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Vehicle occupants undergo upward and outward excursion during the airborne phase of vehicle rollover due to the inertial effects coming from the vehicle's rotation. When this excursion is sufficient to permit contact between the occupant's head and the vehicle's interior roof panel, the neck may experience compressive loading. This compressive loading, generated during the airborne phase and prior to vehicle-to-ground impact, could render the occupant more susceptible to compressive neck injury during subsequent vehicle-to-ground impacts. In the present study, computational simulations were used to evaluate the effect of steady-state roll rate on compressive preloading in the cervical spine. The results show an increasing relationship between roll rate and compressive preloading when the head contacts the roof panel and becomes constrained.

Anthropomorphic test dummies (ATDs) have been validated for the analysis of various types of automobile collisions through pendulum, impact, and sled testing. However, analysis of the fidelity of ATDs in rollover collisions has focused primarily on the behavior of the ATD head and neck in axial compression. Only limited work has been performed to evaluate the behavior of different surrogate models for the analysis of occupant motion during rollover. Recently, Moffatt et al. examined head excursions for near- and far-side occupants using a laboratory-based rollover fixture, which rotated the vehicle about a fixed, longitudinal axis. The responses of both Hybrid III ATD and human volunteers were measured. These experimental datasets were used in the present study to evaluate MADYMO ATD and human facet computational models of occupant motion during the airborne phase of rollover.

While previous studies have recognized and demonstrated the upward and outward occupant motion that occurs during the airborne phase of rollover and estimated the resulting head excursion using static and dynamic approaches, the effect of roll rate on restrained occupant head excursion has not been comprehensively evaluated. Moffatt and colleagues recently examined head excursions for near- and far-side occupants resulting from steady-state roll velocities using a laboratory fixture and both Hybrid III anthropomorphic test dummies (ATD) and human volunteers. To expand upon that study, a MADYMO computational model of a rolling airborne vehicle was developed to more thoroughly evaluate the effects of roll rate on occupant kinematics and head excursion. The interior structure of the vehicle used by Moffatt et al. was modeled, and the ATD kinematics observed in that experimental study were used to validate the computational models of the current study.

A MADYMO simulation model was created to analyze the kinematics of a bicycle rider during a frontal collision with a rigid object. The model was validated using a series of crash tests in which rider trajectory was captured with high-speed photography. The test bicycles were equipped with either traditional fixed or suspension front forks. Impact speeds varied from 22.5 to 31.0 kph to cover a range of fork response from minor bending to significant bending and fracture. The predictions of simple particle trajectory analysis were found to approximate rider motion. Rider motion was relatively unaffected by hand and foot “connections” to the bicycle. Furthermore, the rider connection to the bicycle was insufficient to create any significant rider deceleration as a result of bicycle fork deformation.