Review of nondestructive evaluation techniques for pipeline stress corrosion cracking

Vollständiger Abstract

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Abstract Stress corrosion cracking (SCC) is a major type of threat to pressurized pipelines, particularly when they operate in harsh environments. Early detection of pipeline SCC and accurate evaluation of its severity enable timely reactions, thereby improving pipeline safety and reducing operation and maintenance costs. This paper presents a comprehensive review of nondestructive evaluation techniques, including sound wave-based, vision-based, electrical, and electrochemical techniques, for detecting and monitoring pipeline SCC. Their working principles, procedures, performance, strengths, and limitations are discussed. Recent advancements in machine learning and robotics for automated inspection of pipelines are reviewed. The technical and economic performance of various techniques are compared through a cost-benefit analysis. A tree-based decision approach is presented to assist pipeline decision makers to select appropriate techniques for specific projects. This paper provides practical insights and guidance for effective evaluation and monitoring of pipeline SCC, aiming to facilitate further research and applications of nondestructive evaluation and monitoring techniques for effective asset management.