Probabilistic Inverse Simulation and its Application in Vehicle Accident Reconstruction
Abstract
Inverse simulation is an inverse process of direct simulation. It determines unknown input variables of the direct simulation for a given set of simulation output variables. Uncertainties usually exist, making it difficult to solve inverse simulation problems. the objective of this research is to account for uncertainties in inverse simulation in order to produce high confidence in simulation results. the major approach is the use of the maximum probability density function (PDF), which determines not only unknown deterministic input variables but also the realizations of random input variables. Both types of variables are solved on the condition that the joint probability density of all the random variables is maximum. the proposed methodology is applied to a traffic accident reconstruction problem where the simulation output (accident consequences) is known and the simulation input (velocities of the vehicle at the beginning of crash) is sought. Copyright.
Recommended Citation
X. Zhang et al., "Probabilistic Inverse Simulation and its Application in Vehicle Accident Reconstruction," Journal of Mechanical Design, Transactions of the ASME, American Society of Mechanical Engineers (ASME), Jan 2013.
The definitive version is available at https://doi.org/10.1115/1.4025296
Department(s)
Mechanical and Aerospace Engineering
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2013 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
01 Jan 2013
