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Chao Zhang

Nanjing University of Aeronautics and Astronautics

Yudao Street

210016

Nanjing,, 210016

China

  • Nanjing University of Aeronautics and Astronautics

SCHOLARLY PAPERS

3

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86

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Scholarly Papers (3)

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1.

Investigation on the effect of ply orientations on the fatigue behavior of composite laminates: from the perspective of deep learning

Number of pages: 33 Posted: 11 Oct 2025
Gangbo hu, Chongcong Tao, Chao Zhang, Qinghong Zhang, Boda Wang, Hongli Ji and Jinhao Qiu
affiliation not provided to SSRN, Nanjing University of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics, affiliation not provided to SSRN, affiliation not provided to SSRN, Nanjing University of Aeronautics and Astronautics and Nanjing University of Aeronautics and Astronautics
Downloads 32 (1,290,922)

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CFRP laminates, ply orientations, deep learning, stiffness degradation, master latent S-N curve, fatigue life prediction

2.

Fatigue Crack Detection for Cross-Structure Using Lamb Waves and Semi-Supervised Deep Transfer Learning

Number of pages: 23 Posted: 31 Oct 2024
li wang, Chao Zhang, Guoqiang Liu, Yu Yang and Jinhao Qiu
Nanjing University of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics, affiliation not provided to SSRN, affiliation not provided to SSRN and Nanjing University of Aeronautics and Astronautics
Downloads 27 (1,359,097)

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Center-hole structure, Lap joint structure, Fatigue crack detection, Lamb waves, Deep transfer learning

3.

Fatigue Life Prediction for Cfrp Laminates Using Multi-Mode Lamb Wave Velocity and Bayesian Model Selection

Number of pages: 29 Posted: 03 Jul 2024
Lingyao Cen, Chongcong Tao, Chao Zhang, Hongli Ji and Jinhao Qiu
Nanjing University of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics and Nanjing University of Aeronautics and Astronautics
Downloads 27 (1,359,097)

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CFRP laminates, Fatigue life prediction, Model selection, Bayesian evidence, Multi-mode Lamb wave velocity