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International Journal of Fatigue - 巻 208 / 号 None

タイトル
著者 巻 号 ページ 年 PKV
Two-point S-N curve modification framework from fatigue loads
Xu-xiang Yang, Xin Bai, Zhi-xin Dong, Zhen-jun Zhang, Zhe-feng Zhang 208 None 109541–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
Revealing fatigue anisotropy of SLM-GH4169 alloy at high temperature via small punch fatigue testing
Hao Liu, Xiangxuan Geng, Jian Bao, Zhiquan Zuo, Jian Peng 208 None 109542–None 2026 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
Effect of shot peening on surface integrity and elevated temperature fatigue behavior of ATI 718Plus alloy
Jianxin Luo, Changfeng Yao, Liming Lei, Liang Tan 208 None 109527–None 2026 3.0
平均評価: 0.0 / 5 (0 件のレビュー)
Time lapse X-ray imaging reveals dual-role significance of hot cracks in high-temperature fatigued L-PBF Hastelloy X
Han Zhang, Weijian Qian, Feifei Hu, Boyu Nie, Shengchuan Wu 208 None 109558–None 2026 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
Progressive fatigue damage modeling for FRP in high cycle and very high cycle fatigue regimes
Gen Li, Xiaorui Liu, Hao Li, Tianyu Chen, Rubing Zhang 208 None 109543–None 2026 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
Influence of preprocessing on the fatigue life prediction of scanned weld topologies
Georg Veile, Julius Lotz, Daniel Klöss, Stefan Weihe 208 None 109536–None 2026 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
CINAS-PINN: Causal inference-based neural architecture search in physics-informed neural networks for fatigue life prediction with welding strain energy
Jiashan Gao, Chao Zhang, Shaoping Wang, Enrico Zio, Rentong Chen 208 None 109539–None 2026 3.0
平均評価: 0.0 / 5 (0 件のレビュー)
Progressive fatigue failure analysis of open-hole composite laminates: High-fidelity simulations and an experimental study
Peyman Shabani, Lucy Li, Jeremy Laliberte 208 None 109531–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
Probabilistic evaluation on fatigue small cracking characteristics of light metallic alloys under in-situ SEM fatigue tests using the weakest link theory
Yang Xin-Yi, Zhu Li-Na, Xu Zhong-Wei, Wang Xi-Shu 208 None 109557–None 2026 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
Physical information-enhanced machine learning method for high cycle fatigue strength prediction of foreign object damaged aeroengine blades
Yuming Huang, Yibo Shang, Yu Fu, Chen Wang, Zhenhua Zhao 208 None 109540–None 2026 4.0
平均評価: 0.0 / 5 (0 件のレビュー)