|
Abstract:
At present, scholars have done a lot of research work on pipeline reliability. In pipeline reliability calculations, traditional methods often assume that each random variable is independent of each other. It is easy to get wrong results when the variables are assumed to be independent of each other. In view of this limitation this paper considers the influence of the correlation between several sets of variables on the probability of pipeline failure. The Monte Carlo simulation method was used to calculate the influence of correlation between variables on several pipeline blasting failure stress models. Research indicates, the correlation between radial corrosion rate and axial corrosion rate has great influence on the failure probability of DNV-RP-F101, modified B31G and PCORRC calculation models. The correlation between yield strength and tensile strength has little effect on the failure probability of the three models. The gap between the upper and lower limits of modified B31G increases first and then decreases and then increases with time. However, the difference between DNV-RP-F101 and PCORRC failure upper and lower limits gradually increased with time.
|
