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Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning

Abstract Low-cycle fatigue is a common failure mode of stud connectors in bridges. Accurate prediction of their life is crucial for material design and engineering applications. However, traditional theoretical formulas and experimental methods suffer from limitations such as low accuracy and indivi...

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Detaylı Bibliyografya
Asıl Yazarlar: Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: SpringerOpen 2025-08-01
Seri Bilgileri:Journal of Materials Science: Materials in Engineering
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Online Erişim:https://doi.org/10.1186/s40712-025-00316-6
Etiketler: Etiketle
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