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In-situ effect in cross-ply laminates under various loading conditions analyzed with hybrid macro/micro-scale computational models

Journal Article · · Composite Structures
 [1];  [2];  [3];  [4];  [5];  [6];  [7]
  1. Nanjing Tech Univ. (China). Key Lab. for Light-weight Materials; Nanjing Tech Univ. (China)
  2. Shanghai Jiao Tong Univ. (China). School of Naval Architecture, Ocean and Civil Engineering. Dept. of Engineering Mechanics
  3. National Univ. of Singapore (Singapore). Dept. of Mechanical Engineering
  4. Clemson Univ., SC (United States). Dept. of Mechanical Engineering
  5. McMaster Univ., Hamilton, ON (Canada). Dept. of Mechanical Engineering
  6. Ford Motor Company, Detroit, MI (United States). Dept. of Materials Manufacturing
  7. Nanjing Tech Univ. (China). Key Lab. for Light-weight Materials

In this article, multi-scale finite element analyses based on three-dimensional (3D) hybrid macro/micro-scale computational models subjected to various loading conditions are carried out to examine the in-situ effect imposed by the neighboring plies on the failure initiation and propagation of cross-ply laminates. A detailed comparative study on crack suppression mechanisms due to the effect of embedded laminar thickness and adjacent ply orientation is presented. Furthermore, we compare the results of in-situ transverse failure strain and strength between the computational models and analytical predictions. Good agreements are generally observed, indicating the constructed computational models are highly accurate to quantify the in-situ effect. Subsequently, empirical formulas for calculating the in-situ strengths as a function of embedded ply thickness and different ply angle between embedded and adjacent plies are developed, during which several material parameters are obtained using a reverse fitting method. Finally, a new set of failure criteria for σ2212, σ2223, and σ1112 accounting for the in-situ strengths are proposed to predict laminated composites failure under multi-axial stress states. This study demonstrates an effective and efficient computational technique towards the accurate prediction of the failure behaviors and strengths of cross-ply laminates by including the in-situ effects.

Research Organization:
Ford Motor Company, Detroit, MI (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); China Scholarship Council (CRC); Clemson University; SC TRUMH
Grant/Contract Number:
EE0006867
OSTI ID:
1848463
Alternate ID(s):
OSTI ID: 1777538
Journal Information:
Composite Structures, Journal Name: Composite Structures Journal Issue: C Vol. 261; ISSN 0263-8223
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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