Reliability-based preventive maintenance planning for corroded pipelines using a RBF surrogate model

Sousa, Paulo Fernando Silva; Afonso, Silvana Maria Bastos; Willmersdorf, Ramiro Brito

doi:10.1007/s40430-021-03247-3

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…The main structure of a LNG storage tank is composed of concrete. Concrete is a typical multiphase composite material composed of aggregates, mortar, microcracks, and bubbles [34]. To simplify the research problem, this study ignored the effects of microcracks and bubbles and only considered concrete materials composed of aggregates and mortar, and their material properties are significantly different.…”

Section: An Overview Of the Lng Storage Tank Reliability Analysis Fra...mentioning

confidence: 99%

“…For instance, Gu et al [33] proposed a Kriging model based on adaptive adding point strategy to accelerate a reliability analysis. A reliability analysis for pipelines based on the Radial Basis Function model was carried out by Sousa et al [34] to evaluate the effects of corrosion on structural failure. However, the choice of inputs has an important impact on the predictive accuracy of a surrogate model [35].…”

Section: Introductionmentioning

confidence: 99%

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Cross-Scale Reliability Analysis Framework for LNG Storage Tanks Considering Concrete Material Uncertainty

Liu,

Ma,

et al. 2024

JMSE

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The reliability of liquefied natural gas (LNG) storage tanks is an important factor that must be considered in their structural design. Concrete is a core component of LNG storage tanks, and the geometric uncertainty of concrete aggregate material has a significant impact on their reliability. However, owing to the significant size difference between the concrete aggregate compared to the LNG storage tank, structural analysis using an accurate finite element model that includes all the geometric characteristics of the aggregate incurs significant analytical costs. In particular, for reliability analysis requiring a large number of samples, the computational costs incurred by finite element models are infeasible. Therefore, a dual acceleration strategy based on the asymptotic homogenization method and surrogate model technology is proposed to improve the efficiency of LNG storage tank reliability analysis. In the cross-scale analysis of a LNG storage tank based on asymptotic homogenization, order reduction of the LNG storage tank analysis model was realized. Based on this, a surrogate model construction method with the aggregate fraction and mass moment as inputs was proposed to further accelerate the reliability analysis of LNG storage tanks. Subsequently, a Monte Carlo method was used to perform a reliability analysis of the LNG storage tank considering the uncertainty of the concrete aggregate geometry and distribution under the action of liquid weight and wind load. The analysis showed that the wind load has a significant influence on the safety of the design of the roof of a LNG storage tank. The directionality of the wind load has a significant impact on the distribution of the sample point response for reliability analysis and the failure mode of the LNG storage tank. Owing to the directionality of the wind load, the response distributions of the maximum displacement and maximum stress of LNG were more concentrated, and the reliability of the LNG storage tank decreased after considering the wind load. In particular, the stress reliability of the tank decreased by 5.86%. When only the liquid load was considered, the maximum displacement and stress exhibited asynchronous failure, and the two almost never occurred simultaneously. When the wind load was considered, the failure mode of the LNG storage tank was dominated by the maximum stress. Moreover, the numerical example also demonstrated that the degree of freedom involved in structural analysis, as well as the time of structural analysis can be significantly reduced. So, the proposed cross-scale analysis framework can significantly improve the efficiency of reliability analysis. The conclusions established in this study provide theoretical and methodological guidance for the reliable design of LNG storage tanks.

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Section: An Overview Of the Lng Storage Tank Reliability Analysis Fra...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cross-Scale Reliability Analysis Framework for LNG Storage Tanks Considering Concrete Material Uncertainty

Liu,

Ma,

et al. 2024

JMSE

View full text Add to dashboard Cite

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“…An alternative approach based on preventive maintenance planning for oil and gas pipelines is presented by [49]. The objective of this methodology is to maintain pipeline condition reliability above a baseline level.…”

Section: Literature Reviewmentioning

confidence: 99%

A Scoping Review of Pipeline Maintenance Methodologies Based on Industry 4.0

et al. 2022

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The fourth industrial revolution was a milestone at the industrial level. It forced most industries to evolve technically and for their collaborators to prepare and advance together with technology; the oil industry was no exception. It develops its activities in dangerous and dynamic environments and needs to protect its human resources, equipment, and infrastructure. This article presents a scoping review, based on the PRISMA guidelines, of pipeline maintenance methodologies based on Industry 4.0. From the first collection of 123 articles from prestigious databases such as SpringerLink, MDPI, Scopus, IEEEXplore and ACM, a final sample of 31 articles was obtained. Here, technologies that enhance preventive and predictive maintenance systems are discussed. The results show that predictive maintenance compared to preventive maintenance has a percentage difference in upkeep time optimization of 38% in the last five years. This difference was corroborated with a Student’s t-test for independent samples, with a significance of 0.023. Likewise, the most used technologies were analyzed, with artificial intelligence standing out with 45.16%.

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Multi-jointed pneumatic sealing disc of fluid-driven pipeline robot: impacts of structural parameters on performance

Yue,

Ma,

Yang

et al. 2024

J Braz. Soc. Mech. Sci. Eng.

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Reliability-based preventive maintenance planning for corroded pipelines using a RBF surrogate model

Cited by 5 publications

References 24 publications

Cross-Scale Reliability Analysis Framework for LNG Storage Tanks Considering Concrete Material Uncertainty

Cross-Scale Reliability Analysis Framework for LNG Storage Tanks Considering Concrete Material Uncertainty

A Scoping Review of Pipeline Maintenance Methodologies Based on Industry 4.0

Multi-jointed pneumatic sealing disc of fluid-driven pipeline robot: impacts of structural parameters on performance

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