Separable Sampling of the Limit State for Accurate Monte Carlo Simulation

Ravishankar, Bharani; Smarslok, Benjamin P.; Haftka, Raphael T.; Sankar, Bhavani V.

doi:10.2514/6.2009-2266

Cited by 4 publications

(1 citation statement)

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“…SMC is an enhanced Monte Carlo method developed by Smarslok and colleagues in 2010. 20,21 Contrary to the MCS principle, the random variables representing the resistance ( P Brust ) and the stress ( P Op ) are generated separately. It can be therefore summarize the steps of the SMC method in four steps: (1) generated N samples for P Brust based on the random variables included in the models (e.g.…”

Section: Smc Simulationmentioning

confidence: 99%

Structural reliability of corroded pipeline using the so-called Separable Monte Carlo method

Seghier

Bettayeb

Correia

et al. 2018

The Journal of Strain Analysis for Engineering Design

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The evaluation of the failure probability of corroded pipelines is an important calculation to quantify the risk assessment and integrity of pipelines. Traditional Monte Carlo simulation method has been widely used to solve this type of problems, where it generates a very large number of simulations and takes longer time in computing. In this study, enhanced computational method called Separable Monte Carlo is employed to evaluate the time-dependent reliability of pipeline segments containing active corrosion defects, where a practical example was used. The results show that the Separable Monte Carlo simulation method not only minimizes the computational cost strongly but also improves the calculation precision.

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