A review on corrosion modelling for submarine pipeline

IF 6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal Pub Date : 2025-04-18 DOI:10.1016/j.asej.2025.103411

Ziheng Zhao, Mohammad Nishat Akhtar, Elmi Abu Bakar, Norizham Bin Abdul Razak

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Abstract

Undersea pipelines are susceptible to corrosion, leading to resource loss and significant harm to the natural ecosystem. Hence, it is necessary to construct a corrosion model for detection and maintenance. This research primarily examines the existing literature on data-driven models utilising Machine Learning (ML) methods, particularly Artificial Neural Networks (NN’s) and also considers the models based on other theories to provide references for corrosion models. An initial stage involves analysing the main cause of corrosion and identifying the key factors contributing to this structural failure. Then, the review highlights the benefits of ML by listing their composition and current applications. Furthermore, the article analyses corrosion modelling using other methods and examines the potential avenues for optimisation that may provide to ML. Additionally, it considers the cost aspect and provides potential methods and suggestions for reducing costs. This review can serve as a valuable reference for researchers studying corrosive pipeline modelling.

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海底管道腐蚀模型研究进展

海底管道容易受到腐蚀，造成资源损失，对自然生态系统造成重大危害。因此，有必要建立一个用于检测和维护的腐蚀模型。本研究主要考察了利用机器学习（ML）方法，特别是人工神经网络（NN）的数据驱动模型的现有文献，并考虑了基于其他理论的模型，为腐蚀模型提供参考。初始阶段包括分析腐蚀的主要原因，并确定导致这种结构失效的关键因素。然后，通过列出机器学习的组成和当前应用来强调机器学习的好处。此外，本文使用其他方法分析腐蚀建模，并检查可能为ML提供的潜在优化途径。此外，它还考虑了成本方面，并提供了降低成本的潜在方法和建议。该综述可为腐蚀管道建模研究提供有价值的参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ain Shams Engineering Journal Engineering-General Engineering

CiteScore

10.80

自引率

13.30%

发文量

441

审稿时长

49 weeks

期刊介绍： in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.