Maintenance strategy optimization of pipeline system with multi-stage corrosion defects based on heuristically genetic algorithm

Xie, Mingjiang; Zhao, Jianli; Pei, Xianjun

doi:10.1016/j.psep.2022.12.041

Cited by 19 publications

(2 citation statements)

References 45 publications

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“…This algorithm is based on the evolutionary trend, expressing the optimal concept of survival. According to the evolutionary process of the genetic algorithm, at each stage, the strongest individuals become stronger, and the weakest individuals are left out of the process [ 79 ]. Moreover, the Non-dominated Sorting Genetic Algorithm-II procedure was employed to two-objective optimization.…”

Section: Performance Description and Modelingmentioning

confidence: 99%

Cost and environmental analysis and optimization of a new and green three-level waste heat recovery-based cogeneration cycle: A comparative study

Nikafshan Rad,

Ghasemi,

Marefati

2024

Heliyon

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Section: Performance Description and Modelingmentioning

confidence: 99%

Cost and environmental analysis and optimization of a new and green three-level waste heat recovery-based cogeneration cycle: A comparative study

Nikafshan Rad,

Ghasemi,

Marefati

2024

Heliyon

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“…With such limited data, the Bayesian approach can be suitable. This approach has been applied for reliability assessment and maintenance and inspection planning of structures [30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Reliability Analysis of Submarine Pipelines Using the Bayesian Approach

Kakaie

Soares

Ariffin

et al. 2023

JMSE

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A fracture mechanics-based fatigue reliability analysis of a submarine pipeline is investigated using the Bayesian approach. The proposed framework enables the estimation of the reliability level of submarine pipelines based on limited experimental data. Bayesian updating method and Markov Chain Monte Carlo simulation are used to estimate the posterior distribution of the parameters of a fracture mechanics-based fatigue model regarding different sources of uncertainties. Failure load cycle distribution and the reliability-based performance assessment of API 5L X56 submarine pipelines as a case study are estimated for three different cases. In addition, the impact of different parameters, including the stress ratio, maximum load, uncertainties of stress range and initial crack size, corrosion-enhanced factor, and also the correlation between material parameters on the reliability of the investigated submarine pipeline has been indicated through a sensitivity study. The applied approach in this study may be used for uncertainty modelling and fatigue reliability-based performance assessment of different types of submarine pipelines for maintenance and periodic inspection planning.

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Dynamic Maintenance of Underground Pipelines via a Systematic Approach for Conservative Estimation of Pipeline Defect Probability Density Under Data Scarcity

Park,

Kim,

Kim

2024

Korean J. Chem. Eng.

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Maintenance strategy optimization of pipeline system with multi-stage corrosion defects based on heuristically genetic algorithm

Cited by 19 publications

References 45 publications

Cost and environmental analysis and optimization of a new and green three-level waste heat recovery-based cogeneration cycle: A comparative study

Cost and environmental analysis and optimization of a new and green three-level waste heat recovery-based cogeneration cycle: A comparative study

Fatigue Reliability Analysis of Submarine Pipelines Using the Bayesian Approach

Dynamic Maintenance of Underground Pipelines via a Systematic Approach for Conservative Estimation of Pipeline Defect Probability Density Under Data Scarcity

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