Artificial Neural Network (ANN)-Based Residual Strength Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact-Reference-Cited by-同舟云学术

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Artificial Neural Network (ANN)-Based Residual Strength Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact

Published:2021-04-12 Issue:3 Volume:28 Page:809-833
ISSN:0929-189X
Container-title:Applied Composite Materials
language:en
Short-container-title:Appl Compos Mater

Author:

Yang Bin,Fu Kunkun,Lee Juhyeong,Li Yan

Funder

Shanghai Pujiang Program

National Science Fund for Distinguished Young Scholars

Fund of State Key Laboratory for Strength and Vibration of Mechanical Structures

Fund of National Postdoctoral Program for Innovative Talents

fellowship of China Postdoctoral Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Ceramics and Composites

Link

https://link.springer.com/content/pdf/10.1007/s10443-021-09891-1.pdf

Reference52 articles.

1. Shi, Y., Swait, T., Soutis, C.: Modelling damage evolution in composite laminates subjected to low velocity impact. Compos. Struct. 94(9), 2902–2913 (2012)

2. Prentzias, V., Tsamasphyros, G.: Simulation of low velocity impact on CFRP aerospace structures: simplified approaches, numerical and experimental results. Appl. Compos. Mater. 26(3), 835–856 (2019)

3. Wu, Z.Y., Ying, Z.P., Hu, X.D., et al.: Low-velocity impact performance of hybrid 3D carbon/glass woven orthogonal composite: Experiment and simulation. Compos. B Eng. 196, 108098 (2020)

4. Qiu, A., Fu, K., Lin, W., et al.: Modelling low-speed drop-weight impact on composite laminates. Mater. Des. 60, 520–531 (2014)

5. Davies, G.A.O., Olsson, R.: Impact on composite structures. Aeronaut. J. 108(1089), 541–563 (2004)

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