Try Mobilus Beta
Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Probabilistic Reanalysis Using Monte Carlo Simulation

Journal Article
2008-01-0215
ISSN: 1946-3979, e-ISSN: 1946-3987
DOI: https://doi.org/10.4271/2008-01-0215
Published April 14, 2008 by SAE International in United States
Probabilistic Reanalysis Using Monte Carlo Simulation
Sector:
Citation: Nikolaidis, E., Saleem, S., Farizal, ., Zhang, G. et al., "Probabilistic Reanalysis Using Monte Carlo Simulation," SAE Int. J. Mater. Manf. 1(1):22-35, 2009, https://doi.org/10.4271/2008-01-0215.
Language: English

Abstract:

An approach for Probabilistic Reanalysis (PRA) of a system is presented. PRA calculates very efficiently the system reliability or the average value of an attribute of a design for many probability distributions of the input variables, by performing a single Monte Carlo simulation. In addition, PRA calculates the sensitivity derivatives of the reliability to the parameters of the probability distributions. The approach is useful for analysis problems where reliability bounds need to be calculated because the probability distribution of the input variables is uncertain or for design problems where the design variables are random. The accuracy and efficiency of PRA is demonstrated on vibration analysis of a car and on system reliability-based optimization (RBDO) of an internal combustion engine.

Recommended Content

Technical Paper Model Tuning by Stochastic Methods and Optimization of Thermodynamic Parameters and Component Sets of a Cooling System
Technical Paper Optimal Design of Vehicle Dash and Floor Sound Package Based on Statistical Energy Analysis
Technical Paper Considerations in Conducting Structural Dynamic Analysis of Commercial Vehicle Exhaust System