Effect of voids on fatigue damage propagation in 3D5D braided composites revealed via automated algorithms using X-ray computed tomography

[Display omitted] •Significant advancement has been the combination of Micro-CT and novel image algorithms to track the 3D deflection of individual voids.•For the larger voids, the speed of crack propagation is higher and reaches saturation before 76.9% of life.•Debonding still dominates the fatigue...

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Bibliographic Details
Published in:International journal of fatigue Vol. 158; p. 106778
Main Authors: Liu, Xiaodong, Wang, Xiaoxu, Zhang, Diantang, Qian, Kun
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.05.2022
Elsevier BV
Subjects:
3-Dimensional reinforcement
Algorithms
Automation
Braided composites
Coalescing
Computed tomography
Cracking (fracturing)
CT analysis
Damage
Damage propagation
Defects
Fatigue
Fatigue failure
Fatigue life
Fatigue tests
Fracture mechanics
Life prediction
Materials fatigue
Prediction models
Propagation
Three dimensional composites
Voids
Yarns
3-Dimensional reinforcement
Fatigue
CT analysis
Damage propagation
Defects
ISSN:0142-1123, 1879-3452
Online Access:Get full text
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Summary:[Display omitted] •Significant advancement has been the combination of Micro-CT and novel image algorithms to track the 3D deflection of individual voids.•For the larger voids, the speed of crack propagation is higher and reaches saturation before 76.9% of life.•Debonding still dominates the fatigue damage propagation in the material within 76.9% of fatigue life.•Voids located at the interface between yarns and matrix were found to be the critical voids under fatigue loading. The main objective of this study is to analyze the effect of voids on damage evolution in three-dimensional five-directional (3D5D) braided composites under fatigue loading. This was achieved by the combination of Micro-CT and novel image algorithms during the interruptive fatigue tests. The present methodology enables the automatic capture of the detailed sequence of events during individual voids’ coalescence to cracking. Also, the “two-step” damage classification method was used to analyze the progressive damage mechanism of 3D5D braided composites under fatigue loading. Debonding dominates the fatigue damage propagation in the material within 76.9% of fatigue life and accounts for 82.5% of all fatigue damage. The voids located at the interface of yarns were inferred to be the critical voids under fatigue loading. More significantly, the deflection of the crack front of the voids was quantified via automated algorithms. It is expected that this study can provide unparalleled quantitative data for the development of fatigue life prediction models of 3D5D braided composites with voids.
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ISSN:0142-1123
1879-3452
DOI:10.1016/j.ijfatigue.2022.106778