14 results on '"Zhong, Zheng"'
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2. Prediction of multiaxial fatigue life with a data-driven knowledge transfer model
3. Fatigue life prediction for LPBF-fabricated Ti-6Al-4V up to very-high-cycle regime based on continuum damage mechanics incorporating effect of defects
4. On the integration of domain knowledge and branching neural network for fatigue life prediction with small samples
5. Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime
6. An experimental investigation of fatigue performance and crack initiation characteristics for an SLMed Ti-6Al-4V under different stress ratios up to very-high-cycle regime
7. Integration of symbolic regression and domain knowledge for interpretable modeling of remaining fatigue life under multistep loading
8. Fatigue life prediction considering mean stress effect based on random forests and kernel extreme learning machine
9. On the use of data-driven machine learning for remaining life estimation of metallic materials based on Ye-Wang damage theory
10. Estimation of remaining fatigue life under two-step loading based on kernel-extreme learning machine
11. Multiaxial fatigue life prediction based on a simplified energy-based model
12. A modified energy-based model for low-cycle fatigue life prediction under multiaxial irregular loading
13. A novel energy-based equivalent damage parameter for multiaxial fatigue life prediction
14. Corrigendum to “Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime” [Int. J. Fatigue 172 (2023) 107645]
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