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In this study, tests were performed to understand the effects of asymmetric longitudinal forces on vehicle response which may be created in certain staged partial tire tread belt detachment tests. In a very small number of tests performed by others, tires cut to simulate partial tire tread belt detachments created longitudinal drag forces at the separating tire that induced substantial vehicle yaw. This drag force and yaw response are independent of vehicle type and suspension type; they are created by the separating tire tread interacting with the road surface and / or vehicle. Similar yaw inducing drag forces are further demonstrated by applying braking to only the right rear wheel location of an instrumented test vehicle. It is shown that vehicle yaw response results from this longitudinal force as opposed to vertical axle motion.

In this study, tests were performed with modified tires at the right rear location on a solid axle sport utility vehicle to compare vehicle inputs and responses from both: (1) staged tire tread belt detachments, and (2) stepped diameter (“lumpy”) tires. Lumpy tires consist of equal size sections of tread that are vulcanized at equidistant locations around the outer circumference of the tire casing. Some have used lumpy tires in attempt to model the force and displacement inputs created by a tire tread belt separation. Four configurations were evaluated for the lumpy tires: 1-Lump, 2-Lump (2 lengths), and 3-Lump.

The causes, conditions and circumstances of axle shaft failures are analyzed for use in reconstructing a variety of crashes. A literature search was performed to determine the frequency and the role of vehicle defects, such as axle shaft failures, to crash causation. Real world case studies of axle shaft failures are presented. Static testing force levels required to fracture axle shafts are compared to lateral forces encountered under normal and crash avoidance driving conditions. Vehicle and roadway physical evidence is presented when axle shafts are caused to “fracture” under dynamic testing. Results of the dynamic testing are compared to real world case studies.