Static compressive strength prediction of openhole structure based on nonlinear shear behavior and micromechanics
 Wangnan Li,
 Hongneng Cai,
 Chao Li
 … show all 3 hide
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This paper deals with the characterization of the strength of the constituents of carbon fiber reinforced plastic laminate (CFRP), and a prediction of the static compressive strength of openhole structure of polymer composites. The approach combined with nonlinear analysis in macrolevel and a linear elastic micromechanical failure analysis in microlevel (nonlinear MMF) is proposed to improve the prediction accuracy. A facecentered cubic micromechanics model is constructed to analyze the stresses in fiber and matrix in microlevel. Noninteractive failure criteria are proposed to characterize the strength of fiber and matrix. The nonlinear shear behavior of the laminate is studied experimentally, and a novel approach of cubic spline interpolation is used to capture significant nonlinear shear behavior of laminate. The userdefined material subroutine UMAT for the nonlinear share behavior is developed and combined in the mechanics analysis in the macrolevel using the Abaqus Python codes. The failure mechanism and static strength of openhole compressive (OHC) structure of polymer composites is studied based on nonlinear MMF. The UTS50/E51 CFRP is used to demonstrate the application of theory of nonlinear MMF.
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 Title
 Static compressive strength prediction of openhole structure based on nonlinear shear behavior and micromechanics
 Journal

Mechanics of TimeDependent Materials
Volume 18, Issue 4 , pp 643662
 Cover Date
 20141101
 DOI
 10.1007/s1104301292069
 Print ISSN
 13852000
 Online ISSN
 15732738
 Publisher
 Springer Netherlands
 Additional Links
 Topics
 Keywords

 Micromechanics of failure
 Constituentbased strength characterization
 UMAT
 Nonlinear analysis
 Industry Sectors
 Authors

 Wangnan Li ^{(1)}
 Hongneng Cai ^{(1)}
 Chao Li ^{(1)}
 Author Affiliations

 1. State Key Laboratory for Mechanical Behavior of Materials, Xi’an Jiaotong University, Xi’an, 710049, China