Review of prediction of stress corrosion cracking in gas pipelines using machine learning

M Hussain, T Zhang, M Chaudhry, I Jamil, S Kausar… - Machines, 2024 - mdpi.com
Pipeline integrity and safety depend on the detection and prediction of stress corrosion
cracking (SCC) and other defects. In oil and gas pipeline systems, a variety of corrosion …

[HTML][HTML] Energy Pipeline Degradation Condition Assessment Using Predictive Analytics–Challenges, Issues, and Future Directions

M Hussain, T Zhang, R Dwight, I Jamil - Journal of Pipeline Science and …, 2024 - Elsevier
It is of paramount importance to ensure the safe operation of energy pipelines for pipeline
owners and operators. Therefore, effective condition assessment of pipelines is imperative …

Pitting behavior of friction stir repair-welded 304L stainless steel in 3.5% NaCl solution at room temperature: role of grain and defect structures

A Naskar, M Bhattacharyya, KS Raja, I Charit… - SN Applied …, 2020 - Springer
Stainless steel (SS) canisters used for storing spent nuclear waste are prone to chloride-
induced stress corrosion cracking. Friction stir welding (FSW), being a low heat input …

[图书][B] Efficient Dimension Reduction and Uncertainty Quantification for Complex Physical and Biological Systems

HC Guy - 2020 - search.proquest.com
With rapid advances in computing technology, the need for efficient uncertainty
quantification (UQ) methods is growing. The goal of UQ methods is to identify, quantify and …