Abu Dhabi University Researchers Provide Details of New Studies and Findings in the Area of Machine Learning (Prognosis methods of stress corrosion cracking under harsh environmental conditions).

Researchers from Abu Dhabi University have conducted a study on stress corrosion cracking (SCC) under harsh environmental conditions. The study highlights the challenges in accurately predicting material degradation and remaining service life due to the complex interplay of mechanical, chemical, and electrochemical factors. The researchers emphasize the need for comprehensive review papers that consolidate current knowledge and advancements in prognosis methods. The paper covers various prognosis methods, including non-destructive testing, electrochemical techniques, numerical modeling, and machine learning. The study aims to serve as a valuable resource for researchers and practitioners working in the field to develop effective strategies for mitigating SCC and ensuring material integrity in challenging environments. [Extracted from the article]