Probabilistic reanalysis using monte carlo simulation

Efstratios Nikolaidis, Sirine Saleem, Farizal, Geng Zhang, Zissimos P. Mourelatos

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Publication statusPublished - 1 Dec 2008
Event2008 World Congress - Detroit, MI, United States
Duration: 14 Apr 200817 Apr 2008


Conference2008 World Congress
Country/TerritoryUnited States
CityDetroit, MI


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