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Stochastic Based Multi-Objective Optimization of Corroded Gas Transmission Pipelines Using Importance Sampling Technique and Genetic Algorithm

عنوان مقاله: Stochastic Based Multi-Objective Optimization of Corroded Gas Transmission Pipelines Using Importance Sampling Technique and Genetic Algorithm
شناسه ملی مقاله: NSMI20_166
منتشر شده در بیستمین همایش صنایع دریایی در سال 1397
مشخصات نویسندگان مقاله:

Mohammad Mahdi Shabani - MESc of Offshore Structural Engineering
Mohammad Daghigh - Ph.D of Offshore Engineering, Pars Oil and Gas Company (POGC)
Reza Taravati - MESc of Material Engineering
Wenxing Zhou - Assistant Prof. of Civil Engineering, University of Western Ontario

خلاصه مقاله:
The purpose of this work is to perform a comprehensive comparison between different Failure Pressure Model (FPM)s in terms of probability. In order to simulate rate of internal corrosion, Poisson Wave Square Process (PSWP) is applied. Furthermore, as the most effective parameter on Burst Capacity(BC) of pipelines is internal pressure and there is no distinct relationship for expressing variation of it versus time, a stochastic process is used instead to predict maximum pressure of pipeline. For determining Probability of Failure (POF), Importance Sampling (IS) technique is applied to FPMs. Both Pipeline Diameter (PD) and Pipeline Thickness (PT) are considered as variables in optimization stage that is done using MATLAB Optimization Toolbox. The presented method is applied to a pipeline in Southern parts of Persian Gulf. For getting to as much accurate as possible result, mean and Coefficient of Variation (COV) of input parameters are adopted using In-Line Inspection (ILI) data of the pipeline. Finally, in order to present a better view on selecting different FPMs, a financial assessment is carried out.

کلمات کلیدی:
pipeline, corrosion, reliability, GA, BCR

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/823046/