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Dive into the research topics where Weiping Hu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A damage mechanics-based fatigue life prediction method for TC4 components considering combined influence of scratch defects and structural geometric features
Chen, X., Hu, W., Zeng, Y., Li, J., Zhang, D., Zhan, Z. & Meng, Q., Feb 2026, In: International Journal of Fatigue. 203, 109319.Research output: Contribution to journal › Article › peer-review
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Development of a mechanism-based fatigue damage model incorporating surface roughness defects for life prediction of AM 316L lattice structures
Han, B., Zhan, Z., Gao, T., Hu, W., Meng, Q. & Li, H., Mar 2026, In: International Journal of Fatigue. 204, 109366.Research output: Contribution to journal › Article › peer-review
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A crystal plasticity-based and temperature-dependent multi-phase field model for the ductile fracture of single crystals at elevated temperatures
Li, A., Hu, W., Zhan, Z. & Meng, Q., Sep 2025, In: International Journal of Plasticity. 192, 104425.Research output: Contribution to journal › Article › peer-review
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Advances in machine learning for predicting fatigue behavior: from material properties to fatigue life and fatigue crack growth
Zhan, Z., Zhang, M., He, X., Li, X., Wang, Z., Chen, X., Han, B., Hu, W., Meng, Q. & Li, H., 2025, (Accepted/In press) In: International Journal of Structural Integrity.Research output: Contribution to journal › Review article › peer-review
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A hybrid framework combining damage mechanics and Physics-Informed neural Networks for damage and failure analysis of additively manufactured lattice structures
Wang, Z., Zhan, Z., He, X., Hu, W., Meng, Q. & Li, H., Dec 2025, In: Materials and Design. 260, 115059.Research output: Contribution to journal › Article › peer-review
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