Jul 2026
Joined the Institute of Computational Mechanics × AI, Fudan University, as a Postdoctoral Research Fellow.
Jun 2026
Received my Doctor of Engineering from Fudan University and was named Outstanding Graduate of Fudan University.
2026
New paper on a two-scale continuum damage mechanics model accepted in International Journal of Fatigue.
2025
Received the Best Paper Award from the Shanghai Aeronautics Academy.
International Journal of Fatigue, 2026
Han, Y.-J., Li, C.-F., & Fei, C.-W.
Replaces the conventional single scalar damage variable with independently evolving deviatoric and volumetric damage variables, enabling unified multiaxial fatigue-life prediction alongside full damage-trajectory output and mechanism-resolved diagnostics.
PDFEngineering Failure Analysis, 2026
Han, Y.-J., Zheng, B.-Y., & Fei, C.-W.
Proposes a multi-source reliability evaluation method for aircraft mechanism performance that accounts for coupled wear and cyclic-plasticity accumulative damage.
PDFAerospace Science and Technology, 2026
Han, Y.-J., Sun, Y.-P., & Fei, C.-W.
Couples continuum damage mechanics with Bayesian inference to deliver multiscale fatigue-life prediction for aircraft mechanisms exhibiting rigid–flexible coupling.
PDFPropulsion and Power Research, 13(1), 12–25, 2024
Fei, C.-W., Han, Y.-J., Wen, J.-R., Li, C., Han, L., & Choy, Y.-S.
Introduces a convolutional–deep neural network (C-DNN) that combines CNN feature extraction with DNN regression for probabilistic low-cycle-fatigue (LCF) life prediction of turbine blisks under uncertain operating parameters.
PDFPropulsion and Power Research (Review), 13(3), 319–334, 2024
Fei, C.-W., Li, C., Lin, J.-Y., Han, Y.-J., Choy, Y.-S., & Chen, C.-H.
A comprehensive review of structural design and layout-optimization methods for aeroengine radiators, covering existing radiator structures, optimization theory, and future directions such as smart materials and lattice structures for lightweight thermal management.
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