Application of neural network to model stiffness degradation for composite laminates under cyclic loadings-Reference-Cited by-同舟云学术

Application of neural network to model stiffness degradation for composite laminates under cyclic loadings

Published:2021-02 Issue: Volume:203 Page:108573
ISSN:0266-3538
Container-title:Composites Science and Technology
language:en
Short-container-title:Composites Science and Technology

Author:

Tao Chongcong,Zhang Chao,Ji Hongli,Qiu Jinhao

Funder

Natural Science Foundation of Jiangsu Province

State Key Laboratory of Mechanics and Control of Mechanical Structures

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,Ceramics and Composites

Reference30 articles.

1. Preparation, development, outcomes, and application versatility of carbon fiber-based polymer composites: a review;Das;Advanced Composites and Hybrid Materials,2019

2. Enhancing interfacial performance of epoxy resin composites via in-situ nucleophilic addition polymerization modification of carbon fibers with hyperbranched polyimidazole;Shi;Compos. Sci. Technol.,2020

3. Effect of a vinyl ester-carbon nanotubes sizing agent on interfacial properties of carbon fibers reinforced unsaturated polyester composites;Wu;ES Materials & Manufacturing,2019

4. Interfacial and glass transition properties of surface-treated carbon fiber reinforced polymer composites under hygrothermal conditions;Yu;Engineered Science,2018

5. Overview of ultrasonic assisted manufacturing multifunctional carbon nanotube nanopaper based polymer nanocomposites;Zhang;Engineered Science,2020

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