Inverse Simulation under Uncertainty by Optimization
Abstract
Inverse simulation is an inverse process of a direct simulation. During the process, unknown simulation input variables are identified for a given set of known simulation output variables. Uncertainties such as random parameters may exist in engineering applications of inverse simulation. An optimization method is developed in this work to estimate the probability distributions of unknown input variables. The first order reliability method is employed and modified so that the inverse simulation is embedded within the reliability analysis. This treatment avoids the separate executions of reliability analysis and inverse simulation and consequently maintains high efficiency. In addition, the means and standard deviations of the unknown input variables can also be obtained. A particle impact problem is presented to demonstrate the proposed method for inverse simulation under uncertainty. Copyright © 2013 by ASME.
Recommended Citation
X. Du, "Inverse Simulation under Uncertainty by Optimization," Journal of Computing and Information Science in Engineering, American Society of Mechanical Engineers (ASME), Jan 2013.
The definitive version is available at https://doi.org/10.1115/1.4023859
Department(s)
Mechanical and Aerospace Engineering
International Standard Serial Number (ISSN)
1530-9827
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
