研究论文
A new fatigue life prediction method for welded joints based on machine learning incorporating defect information and physics of failure
Mengqi Liu, Xiaogang Wang, Dong Mi, Zhicheng Liu, Xiangyun Long, Shengming Wen, Chao Jiang
Hunan University Aero Engine Corporation of China (China)
来源International Journal of Fatigue
年份2025
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逐年被引趋势
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1226
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12
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4.94
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学术脉络
学科主题
工程Fatigue and fracture mechanics
Non-Destructive Testing Techniques · Welding Techniques and Residual Stresses
参考文献 77
Metal fatigue : effects of small defects and nonmetallic inclusions
被引 1,464敬宜 村上 · Elsevier eBooks · 2002
Fatigue life prediction for welding components based on hybrid intelligent technique
被引 36Xinhua Yang, Li Zou, Wu Deng · Materials Science and Engineering A · 2015
Effects of Small Defects and Nonmetallic Inclusions on the Fatigue Strength of Metals
被引 129Yukitaka MURAKAMI · JSME international journal Ser 1 Solid mechanics strength of materials · 1989
此处列出前 3 条
引用本文 12
3D convolutional neural network based multi-modal data fusion for fatigue life prediction of additively manufactured Ti-6Al-4V alloy
被引 3Jianrui Zhang, Qianqian Wu, Haijie Wang · International Journal of Fatigue · 2026
Machine learning in laser welding of electric vehicle batteries: Process control and quality assurance
被引 2Mingyu Wang, Lian Zhang, Yuan Liu · Materials & Design · 2026
Machine Learning-Based Prediction of High Cycle Fatigue and Fatigue Crack Growth Rate in LPBF Co-Cr-Mo Alloys Under Varying Scanning Strategies
被引 2Vinod Kumar Jat, R.U. Patil, Manish Kumar · Metals · 2026
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