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Evaluation of vehicle impacts may involve the use of computer simulations. While simulation programs with two-dimensional impact models have been used for decades, more recent three-dimensional impact models have been developed. This research compares DyMESH, the three-dimensional vehicle impact model in HVE-SIMON, with full-scale vehicle crash tests involving low-speed rear impacts. Exponent Failure Analysis Associates (Phoenix, Arizona) conducted rear impact research involving two virtually identical 1983 Nissan Pulsar NX 2-door vehicles. One vehicle was stationary, while the second vehicle impacted the rear of the first vehicle in an aligned configuration. Tests were run at impact speeds ranging from 5 to 20 MPH. Tri-axial accelerometers were positioned in both vehicles and vehicle acceleration and velocity responses were recorded. SIMON-DyMESH was used to simulate these impact tests. DyMESH utilizes a mesh shell determined by the three-dimensional geometry of the vehicle.

Low-speed sideswipe collisions between tractor-semitrailers and passenger vehicles can result in large movements and extensive areas of visible damage to the passenger vehicle. However, depending on the specifics of the collision, the resulting crash pulse may be extended, and the vehicle accelerations correspondingly low. Research regarding the impact environment and resulting injury potential of the occupants during these types of impacts is limited. Five full-scale crash tests utilizing a tractor-semitrailer and a passenger car were conducted to explore vehicle responses during these types of collisions for both the passenger car and the tractor-trailer. The test vehicles included a loaded van semitrailer pulled by a tractor and three identical mid-sized sedans. Instrumentation on the sedans included accelerometers and rotational rate sensors, and the vehicle and occupant kinematics were recorded using onboard and off-board real-time and high-speed video cameras.

Low-speed sideswipe collisions between tractor-semitrailers and passenger vehicles may result in large areas of visible damage to the passenger vehicle. However, due to the extended contact that occurs during these impacts, it is typical in these incidents for the crash pulse duration to be long and the vehicle accelerations to be correspondingly low. Research regarding the impact environment and resulting injury potential of the occupants during these types of impacts is limited. Five full-scale crash tests utilizing a tractor-semitrailer and a passenger car were conducted to explore the occupant responses during these types of collisions. The test vehicles included a van semitrailer pulled by a tractor and three identical mid-sized sedans. The occupants of the sedans included an instrumented Hybrid III 5th -percentile-male anthropomorphic test device (ATD) in the driver's seat and an un-instrumented Hybrid III 5th -percentile-female ATD in the left rear seat.

In this paper, a real-world accident that involved a tractor-semitrailer that lost its brakes on a steep downgrade is analyzed. The crash was caused by brake loss due to massive overheating caused by inoperative brakes, driving too fast for conditions, and driving in an improper gear. The effect on brake temperatures from prior uphill and downhill stretches encountered just before the crash is considered. The crash is analyzed using a Microsoft® Excel spreadsheet-based transient brake model for three sets of published brake temperature modeling methodologies and parameters: The Grade Severity Rating System developed by NHTSA (GSRS), a model developed by the University of Michigan Transportation Research Institute (UMTRI), and a model developed by Rudolf Limpert (Limpert). A fourth and different approach utilized a heavy truck simulation (HVE-SIMON™) with HVE Brake Designer®. The results of this analysis using the four models are compared.

This research compares the responses of a vehicle modeled in the 3D vehicle simulation program SIMON in the HVE simulation operating system against instrumented responses of a 3-axle tractor, 2-axle semi-trailer combination. The instrumented tests were previously described in SAE 2001-01-0139 and SAE 2003-01-1324 as part of a continuous research effort in the area of vehicle dynamics undertaken at the Vehicle Research and Test Center (VRTC). The vehicle inertial and mechanical parameters were measured at the University of Michigan Transportation Research Institute (UMTRI). The tire data was provided by Smithers Scientific Services, Inc. and UMTRI. The series of tests discussed herein compares the modeled and instrumented vehicle responses during quasi-steady state, steady state and transient handling maneuvers, producing lateral accelerations ranging nominally from 0.05 to 0.5 G's.

Construction of a transient model for a Class 8 tractor-trailer negotiating mountain terrain is presented. Four basic brake models for free and forced cooling (GSRS, UMTRI, Limpert, and HVE Brake Designer®) are converted to consistent units. The units have been reduced to those accepted variables in the thermodynamic/heat transfer literature (hc, A, cp, M), thereby facilitating model comparison and coefficient selection from the published literature. The data has been compared to real test published data. The effect of varying the desired vehicle speed, vehicle weight, number of adjusted brakes, and slope magnitude on brake drum temperatures is explored.

CARAT (Computer Aided Reconstruction of Accidents in Traffic) is a Microsoft Windows® based simulation program. CARAT allows for simulation of pre-collision, collision, and post-collision dynamics in a graphical environment. CARAT can model cars, trucks, trailers and tractor/semi-trailers. CARAT-3, released in the mid-90's, is a three degree-of-freedom (3 DOF) model, with three dependent DOF, and operates mathematically in a two-dimensional (2D) graphical environment. Vehicle graphics can be viewed in three dimensions (3D). CARAT-4 implements 3D multi-body models with 10 DOF for the car model, and up to 26 DOF for the truck and trailer model. CARAT is a time forward kinetic simulation, but can also be used to perform kinematic calculations forward and backwards in time. Both CARAT-3 and CARAT-4 implement a momentum-based collision algorithm.

A method was developed for determining the unknown initial velocity of vehicles in yaw based upon evidence of the vehicle’s trajectory. The problem is formulated as an optimization problem by minimizing the error between a simulation trajectory and the known vehicle trajectory as per tire marks. A search simulation is coded in Matlab. An objective function is formulated based upon the error between the search simulation’ trajectories and the trajectory prescribed by the tire mark evidence. Initial conditions and step driver inputs are the design variables. A genetic algorithm routine coded in Matlab, GAOT (Genetic Algorithm Optimization Toolbox), is implemented to determine the solution vector that results in a simulation trajectory that minimizes the objective function. Target simulations are created using EDVSM (Engineering Dynamics Vehicle Simulation Model). The optimization algorithm is implemented and errors in the resultant velocities are reported.

The transporting of live cattle involves the use of Class 8 tractors and livestock semi-trailers for transportation from farms and feedlots to processing plants. This travel may include unimproved roads, local streets, two lane highways, as well as interstate highways. Typically, cattle are compartmentalized in a “double deck” fashion as it provides utility and comports with size and weight limits for commercial Class 8 vehicles. Concern has been expressed for the effect of cattle movement upon the dynamic performance of the loaded Class 8 tractor-livestock trailer assembly. Loading guidelines exist for cattle that attempt to prevent injury or debilitation during transit, and literature exists on the orientation and some kinematics of loaded cattle. Considerable literature exists on the effect of liquid slosh in tankers and swinging beef carcasses suspended from hooks in refrigerated van trailers on the dynamic response and roll stability of those vehicles.