Machine learning‐based efficient stress intensity factor calculation for aeroengine disk probabilistic risk assessment under polynomial stress fields

Research article (Fatigue & Fracture of Engineering Materials & Structures, 2021) · cited 17× · AI/ML
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Machine learning‐based efficient stress intensity factor calculation for aeroengine disk probabilistic risk assessment under polynomial stress fields

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Machine learning‐based efficient stress intensity factor calculation for aeroengine disk probabilistic risk assessment under polynomial stress fields is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning‐based efficient stress intensity factor calculation for aeroengine disk probabilistic risk assessment under polynomial stress fields. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learningbased-efficient-stress-intensity-factor-calculation-for-aeroengine-disk-probabilistic-risk-assessment-un
MLA “Machine learning‐based efficient stress intensity factor calculation for aeroengine disk probabilistic risk assessment under polynomial stress fields.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learningbased-efficient-stress-intensity-factor-calculation-for-aeroengine-disk-probabilistic-risk-assessment-un.
BibTeX @misc{4ortxyz_machine-learningbased-efficient-stress-intensity-factor-calculation-for-aeroengine-disk-probabilistic-risk-assessment-un_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning‐based efficient stress intensity factor calculation for aeroengine disk probabilistic risk assessment under polynomial stress fields}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learningbased-efficient-stress-intensity-factor-calculation-for-aeroengine-disk-probabilistic-risk-assessment-un}, note = {Accessed: 2026-05-24}}
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