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Prediction of Low‐Cycle Fatigue Life for Q345R Steel Using Machine Learning

Year: 2026

Type: article

Source: Fatigue & Fracture of Engineering Materials & Structures

DOI: 10.1111/ffe.70324

Authors: Li Kun, Guo Kangning, Chen Xiang

Institution: Anhui University of Science and Technology

Language: English

Topic: Surface Treatment and Residual Stress

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7162191120

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Cites: 21

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