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Failure criteria of unidirectional carbon fiber reinforced polymer composites informed by a computational micromechanics model

Journal Article · · Composites Science and Technology
 [1];  [2];  [3];  [4];  [5];  [4];  [6];  [3];  [7]
  1. Nanjing University of Aeronautics and Astronautics (China); Nanjing University of Aeronautics and Astronautics
  2. The Ohio State Univ., Columbus, OH (United States); Ford Motor Company, Dearborn, MI (United States)
  3. Northwestern Univ., Evanston, IL (United States)
  4. Nanjing University of Aeronautics and Astronautics (China)
  5. Chongqing University (China)
  6. Univ. of Michigan, Dearborn, MI (United States)
  7. Ford Motor Company, Dearborn, MI (United States)
Failure prediction for carbon fiber reinforced polymer (CFRP) composites has been a longstanding challenge. In this paper, we address this challenge by first applying a well-established computational micromechanics model based on representative volume element to predict the failure envelopes of unidirectional (UD) CFRP composites. Then, these failure envelopes are compared with the classical failure criteria. We have evaluated the performances of these failure criteria and identified the aspects for further improvement in their accuracies for the UD CFRP composites studied herein. Based on the failure mechanisms from computational analyses and the comparisons between predicted failure envelopes and classical failure criteria, a new set of homogenized failure criteria is proposed. Additionally, the newly proposed failure criteria show significant improvement according to our computational and experimental results. Furthermore, we have compared the proposed failure criteria with existing experimental data and computational results available in the literature for different types of composites. Good agreements are generally observed.
Research Organization:
Ford Motor Company, Dearborn, MI (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Grant/Contract Number:
EE0006867
OSTI ID:
1504745
Alternate ID(s):
OSTI ID: 1636835
Journal Information:
Composites Science and Technology, Journal Name: Composites Science and Technology Journal Issue: C Vol. 172; ISSN 0266-3538
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English