Validation of Occupant Trajectory Model using the Ford Expedition Dolly Rollover Experimental Test Data Hovey Consulting LLC

Format:

Conference/Event

Author/Creator:

Hovey, Hovey, author.

Contributor:

Raphael, Elizabeth

Xu, Henry

Conference Name:

SAE 2013 World Congress & Exhibition (2013-04-16 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2013

Summary:

In 2008, Hovey and others [1] published a mathematical analysis that, for the first time, incorporated yaw data into the trajectory analysis, yielding occupant ejection results that are three-dimensional. We extend on that work to investigate the ability of the mathematical model to predict outcomes of the Ford Expedition dolly rollover test, details of which have been published in Carter and others [2], Exponent [3], and Luepke and others [4]. This research validates our occupant trajectory model with the Expedition dolly rollover experimental test data.Previous research had modeled the Expedition rollover test as a two-dimensional, straight-line, roll-only configuration, assuming yaw effects were negligible [17]. We incorporated the longitudinal and lateral components of the vehicle trajectory, eliminating the straight-line limitation. Moreover, we included yaw in addition to roll. Both enhancements resulted in a higher fidelity occupant ejection description. Novel to this work is the inclusion of experimental data from the dolly rollover test performed by Exponent [3] and analyzed by Carter and others [2] to validate the model developed by Hovey and others [1].Also novel to this work is the application of case-specific vehicle speed and roll rate data from the Expedition dolly rollover test. Previous efforts with a two-dimensional ejection analysis have modeled rollover events with the same roll rate function [17], thereby homogenizing the underlying uniqueness of a particular accident. Every rollover accident has a distinct signature, embodied in its translational and rotational degrees of freedom. We capture this uniqueness with case-specific, experimental data.The results of this effort indicate our model [1] predicts experimentally obtained test results. This validation provides analysts further confidence in the use of the previously developed model

Notes:

Vendor supplied data

Publisher Number:

2013-01-0472

Access Restriction:

Restricted for use by site license