Prediction of nonlinear viscoelastic behavior of polymeric composites using an artificial neural network-Reference-Cited by-同舟云学术

Prediction of nonlinear viscoelastic behavior of polymeric composites using an artificial neural network

Published:2006-07 Issue:7 Volume:22 Page:1367-1392
ISSN:0749-6419
Container-title:International Journal of Plasticity
language:en
Short-container-title:International Journal of Plasticity

Author:

Al-Haik M.S.,Hussaini M.Y.,Garmestani H.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference64 articles.

1. Al-Haik, M.S. Garmestani, H., 2000. Implicit creep model of polymer matrix composites by means of neural network. In: ICCE/7 Conference, Denver, CO.

2. Viscoplastic analysis of structural polymer composites using stress–relaxation and creep data;Al-Haik;Composites,2001

3. Durability study of polymeric composites for structural application;Al-Haik;Journal of Polymeric Composites,2001

4. Al-Haik, M.S., 2002, Durability of a polymer matrix composite: a neural network approach, PhD. Florida State University, PhD. thesis, Mechanical Engineering, Tallahassee, FL.

5. Truncated-Newton training algorithm for neurocomputational viscoplastic model;Al-Haik;Computer Methods in Applied Mechanics and Engineering,2003

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