Prediction of Slip and Torsion Performance of Right-Angle Fasteners Based on Machine Learning Methods

Prediction of Slip and Torsion Performance of Right-Angle Fasteners Based on Machine Learning Methods

Aiming at the issue of large CPU costs and low calculation accuracy in the design of right-angle fasteners in scaffolding structures, prediction models of fastener anti-slip performance and torsion performance based on machine learning are proposed. A three-dimensional solid model of right-angle fas...

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Podrobná bibliografie
Hlavní autor: BAO Zhujie, LI Zhen, WANG Feiliang, PANG Bo, YANG Jian
Médium: Článek
Jazyk:zho
Vydáno: Editorial Office of Journal of Shanghai Jiao Tong University 2024-02-01
Edice:Shanghai Jiaotong Daxue xuebao
Témata:
rectangular fasteners
anti-slip performance
torsional performance
parameter analysis
machine learning
On-line přístup:https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-2-242.shtml

Internet

https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-2-242.shtml

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