Volume 43 Issue 4
Apr.  2017
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Article Contents
PENG Liang, HUANG Wenbo, MAO Wei, et al. Numerical study for damage of carbon fiber reinforced resin matrix laminates related to strain rates[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(4): 694-700. doi: 10.13700/j.bh.1001-5965.2016.0846(in Chinese)
Citation: PENG Liang, HUANG Wenbo, MAO Wei, et al. Numerical study for damage of carbon fiber reinforced resin matrix laminates related to strain rates[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(4): 694-700. doi: 10.13700/j.bh.1001-5965.2016.0846(in Chinese)

Numerical study for damage of carbon fiber reinforced resin matrix laminates related to strain rates

doi: 10.13700/j.bh.1001-5965.2016.0846
Funds:

National Natural Science Foundation of China 11502205

More Information
  • Corresponding author: ZHAO Meiying, E-mail:zhaomeiying@nwpu.edu.cn
  • Received Date: 03 Nov 2016
  • Accepted Date: 02 Dec 2016
  • Publish Date: 20 Apr 2017
  • In order to study the effect of high strain rate loading on the deformation and failure of carbon fiber reinforced resin matrix composites, a numerical damage model, in which the stiffness and strength of composite material were modified by the strain rate correction method, was established in consideration of the strain rate effect. The in-plane failure behavior of the laminar structure under different strain rate conditions was simulated and compared with the literature experiment. The results show that the numerical model constructed in this paper can effectively predict the failure characteristics of the resin base plate structure under different strain rate conditions, and has high accuracy in predicting the stiffness and strength hardening phenomenon. For the specimen dominated by 0° and 90° layer, because of the quasi-linear mechanical properties, the numerical model obtains high accuracy in strength prediction; however, for ±45° layer dominant specimen, it exhibits the characteristics of strong nonlinear damage under different strain rate conditions, so the model has some errors in its strength prediction.

     

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