Neural network-based prediction of the long-term time-dependent mechanical behavior of laminated composite plates with arbitrary hygrothermal effects-Reference-Cited by-同舟云学术

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Neural network-based prediction of the long-term time-dependent mechanical behavior of laminated composite plates with arbitrary hygrothermal effects

Published:2021-10 Issue:10 Volume:35 Page:4643-4654
ISSN:1738-494X
Container-title:Journal of Mechanical Science and Technology
language:en
Short-container-title:J Mech Sci Technol

Author:

Nguyen Sy-Ngoc,Truong-Quoc Chien,Han Jang-woo,Im Sunyoung,Cho Maenghyo

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s12206-021-0932-2.pdf

Reference45 articles.

1. H. F. Brinson and L. C. Brinson, Polymer Engineering Science and Viscoelasticity: An Introduction, Springer, Berlin (2008).

2. R. Christensen, Theory of Viscoelasticity: An Introduction, Elsevier, Amsterdam (2012).

3. K. Y. Lin and Y. Sung, Analysis of interlaminar stresses in viscoelastic composites, International Journal of Solids and Structures, 27 (1991) 929–945.

4. J. Rouzegar and M. Gholami, Creep and recovery of viscoelastic laminated composite plates, Composite Structures, 181 (2017) 256–272.

5. S. Yi and H. H. Hilton, Hygrothermal effects on viscoelastic responses of laminated composites, Composites Engineering, 5 (1995) 183–193.

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