A computational-experimental method for identifying the viscoelastic properties of composites in dynamically loaded shells of revolution

2007 ◽  
Vol 43 (4) ◽  
pp. 299-310 ◽  
Author(s):  
N. A. Abrosimov ◽  
N. A. Kulikova
2011 ◽  
Vol 13 ◽  
pp. 33-39 ◽  
Author(s):  
Arash Montazeri ◽  
Alireza Khavandi ◽  
Jafar Javadpour ◽  
Abbas Tcharkhtchi

The viscoelastic properties of composites multi walled carbon nanotube / epoxy at different weight fractions (0.1, 0.5 and 1wt %) were evaluated by performing dynamic mechanical thermal analysis (DMTA) test. The MWCNT/ epoxy composite were fabricated by sonication and a cast molding process. The results showed that addition of nanotubes to epoxy had a significant effect on the viscoelastic properties. However, the use of 0.5wt% increased the viscoelastic properties more significantly. Concerning viscoelastic modeling, the COLE-COLE diagram has been plotted by the result of DMTA tests. These results show a good agreement between the Perez model and the viscoelastic behavior of the composite.


2008 ◽  
Vol 22 (1) ◽  
pp. 164-173 ◽  
Author(s):  
Ting-Jang Lu ◽  
Chi-Shen Duh ◽  
Jheng-Hua Lin ◽  
Yung-Ho Chang

2007 ◽  
Vol 42 (24) ◽  
pp. 10219-10227 ◽  
Author(s):  
Roya Khalil ◽  
Andrew George Chryss ◽  
Margaret Jollands ◽  
Satinath Bhattacharya

2014 ◽  
Vol 697 ◽  
pp. 3-6 ◽  
Author(s):  
Yang Zhang ◽  
Yu Feng Nie ◽  
Ya Tao Wu

This study presents a statistical two-scale method to predict the viscoelastic properties of composite materials with consistent random distribution of particles. The explicit formulation for predicting the effective viscoelastic relaxation modulus is given. At first, the Laplace transformation is used to the linear viscoelastic problem, the effective generalized relaxation modulus in Laplace domain for composites is derived. Then, the effective relaxation modulus in time domain is obtained by the least-square and inverse Laplace transformation. At the end of this paper, some numerical examples are given to validate that the presented method is feasible and effective.


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