TY - JOUR
T1 - Probabilistic reanalysis using monte carlo simulation
AU - Nikolaidis, Efstratios
AU - Saleem, Sirine
AU - Farizal, null
AU - Zhang, Geng
AU - Mourelatos, Zissimos P.
PY - 2009/4
Y1 - 2009/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77953241895&partnerID=8YFLogxK
U2 - 10.4271/2008-01-0215
DO - 10.4271/2008-01-0215
M3 - Article
AN - SCOPUS:77953241895
SN - 1946-3979
VL - 1
SP - 22
EP - 35
JO - SAE International Journal of Materials and Manufacturing
JF - SAE International Journal of Materials and Manufacturing
IS - 1
ER -