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Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2024-01-23 , DOI: 10.1080/19942060.2024.2302906 Umair Sarwar 1, 2 , Ainul Akmar Mokhtar 1 , Masdi Muhammad 1 , Rano Khan Wassan 2 , Afzal Ahmed Soomro 1 , Majid Ali Wassan 3 , Shuaib Kaka 2
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2024-01-23 , DOI: 10.1080/19942060.2024.2302906 Umair Sarwar 1, 2 , Ainul Akmar Mokhtar 1 , Masdi Muhammad 1 , Rano Khan Wassan 2 , Afzal Ahmed Soomro 1 , Majid Ali Wassan 3 , Shuaib Kaka 2
Affiliation
Pipelines are crucial for transporting energy sources, yet corrosion especially stress corrosion cracking (SCC) poses a complex and potentially catastrophic form of material degradation. Traditiona...
中文翻译:
增强管道完整性:全面回顾基于深度学习的应力腐蚀裂纹预测有限元分析
管道对于运输能源至关重要,但腐蚀,尤其是应力腐蚀开裂 (SCC) 会造成一种复杂且潜在灾难性的材料降解。传统...
更新日期:2024-01-23
中文翻译:
增强管道完整性:全面回顾基于深度学习的应力腐蚀裂纹预测有限元分析
管道对于运输能源至关重要,但腐蚀,尤其是应力腐蚀开裂 (SCC) 会造成一种复杂且潜在灾难性的材料降解。传统...