Use of Monte Carlo Simulation Techniques in Accident Reconstruction 940719
This paper describes a straight-forward, automated approach to performing sensitivity analyses using Monte Carlo simulation techniques. Probability distributions are assigned to key input parameters, and results are expressed in the form of probability distributions of each of the desired output parameters. With this technique, it is possible to obtain quantitative results regarding the probability of results being within selected ranges. The approach is fast and automated, and provides a rational basis for dealing with uncertainty and ranges of parameters in accident reconstruction analyses.
Citation: Kost, G. and Werner, S., "Use of Monte Carlo Simulation Techniques in Accident Reconstruction," SAE Technical Paper 940719, 1994, https://doi.org/10.4271/940719. Download Citation
Author(s):
Garrison Kost, Stephen M. Werner
Affiliated:
Failure Analysis Associates, Inc.
Pages: 18
Event:
International Congress & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Accident Reconstruction: Technology and Animation Iv-SP-1030, Crash Reconstruction Research-PT-138, SAE 1994 Transactions: Journal of Passenger Cars-V103-6
Related Topics:
Accident reconstruction
Simulation and modeling
Logistics
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