Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/34426
Title: | An Analytical Model for Predicting Cross-Country Vehicle Performance. Appendix C, Vehicle Performance in Vertical Obstacles (Surface Geometry) |
Authors: | Blackmon, Claude A. Murphy, N. R. (Newell R.) Mobility and Environmental Systems Laboratory (U.S.) |
Keywords: | Vehicles, Military--Dynamics Obstacles (Military science) Tomography Mathematical models |
Publisher: | U.S. Army Engineer Waterways Experiment Station |
Series/Report no.: | Technical Report (U.S. Army Engineer Waterways Experiment Station);no. 3-783 app.C |
Abstract: | This appendix presents a brief history of vehicle dynamics modeling, a recapitulation of the U. S. Army Engineer Waterways Experiment Station approach to the problem of predicting vehicle performance in terrain containing discrete vertical obstacles, and descriptions of dynrunic response prediction models for the MGOAl tank and M37 truck, and compares measured and predicted vehicle performance in terms of peak vertical and longitudinal accelerations for 78 rigid obstacle tests with the two vehicles. Major conclusions from the tests were that performances of the MGOAl tank and M37 truck in terms of peak vertical and peak lon13itudinal accelerations experienced at the driver's seat when traversing discrete, rigid obstacles can be correlated with impact speed, that the mathematical techniques described yield reasonably accurate predictions of the speed at which the MGOAl tank can contact a rigid obstacle without exceeding specified tolerance limits, and that refinement is needed in the dynamic response prediction model for the M37 truck. |
Description: | Technical Report |
Gov't Doc #: | Technical Report No. 3-783 Appendix C |
Rights: | Approved for public release; distribution is unlimited |
URI: | https://hdl.handle.net/11681/34426 |
Size: | 113 pages / 5.199Mb |
Types of Materials: | PDF/A |
Appears in Collections: | Technical Report |
Files in This Item:
File | Description | Size | Format | |
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Technical Report No 3-783 App C.pdf | 5.32 MB | Adobe PDF | ![]() View/Open |