Prediction of corrosion fatigue crack growth rate in aluminum alloys based on incremental learning strategy

Prediction of corrosion fatigue crack growth rate in aluminum alloys based on incremental learning strategy

•Incremental learning predict corrosion fatigue crack growth rate with accuracy > 0.95.•Incremental learning balances new tasks and old knowledge with forgetting rate 

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of fatigue 2024-10, Vol.187, p.108481, Article 108481
Hauptverfasser: Peng, Yufeng, Zhang, Yongzhen, Zhang, Lijun, Yao, Leijiang, Guo, Xingpeng
Format: Artikel
Sprache:eng
Schlagworte:
Aluminum alloys
Catastrophic forgetting
Corrosion fatigue crack growth rate
Incremental learning
XGBoost algorithm
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Incremental learning predict corrosion fatigue crack growth rate with accuracy > 0.95.•Incremental learning balances new tasks and old knowledge with forgetting rate 
ISSN:0142-1123
1879-3452
DOI:10.1016/j.ijfatigue.2024.108481