Interval prediction of ultimate strength for laminated composite structures using back-propagation neural network-Reference-Cited by-同舟云学术

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Interval prediction of ultimate strength for laminated composite structures using back-propagation neural network

Published:2022-01-10 Issue:4 Volume:92 Page:1167-1184
ISSN:0939-1533
Container-title:Archive of Applied Mechanics
language:en
Short-container-title:Arch Appl Mech

Author:

Ma Yujia,Liu Zhijia,Shi Qinghe,Liu Jiang,Geng Xinyu,Xue Rongjie

Funder

Young Scientists Fund

natural science foundation of jiangsu province

postdoctoral science foundation

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00419-021-02097-8.pdf

Reference44 articles.

1. Ghanem, R.G., Kruger, R.M.: Numerical solution of spectral stochastic finite element systems. Comput. Methods Appl. Mech. Eng. 129(3), 289–303 (1996)

2. Contreras, H.: The stochastic finite-element method. Comput. Struct. 12(3), 341–348 (1980)

3. Ghanem, R., Red-Horse, J.: Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach. Physica D 133(1–4), 137–144 (1999)

4. Nouy, A., et al.: An extended stochastic finite element method for solving stochastic partial differential equations on random domains. Comput. Methods Appl. Mech. Eng. 197(51), 4663–4682 (2008)

5. Sasikumar, P., Suresh, R., Gupta, S.: Analysis of CFRP laminated plates with spatially varying non-Gaussian inhomogeneities using SFEM. Compos. Struct. 112(1), 308–326 (2014)

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