journal article·2025-03-10Open access

Characterization of early fatigue damage in CFRP unidirectional laminates based on Micro‐CT

Zheng Tianyu, Liu Zhiming, Yin Yi, Gao Qingxin

Polymer Composites· Volume 46· Issue 4

Abstract

Abstract Fatigue damages of Carbon Fiber Reinforced Polymer (CFRP) laminates are not obvious. Obtaining the evolution of the internal fatigue damage in CFRP laminates before visible cracks occur is of vital importance for ensuring structural reliability. Micro X‐ray computed tomography (Micro‐CT) can provide micron scale nondestructive imaging of internal structure of materials. In this paper, a preliminary study was conducted on the early fatigue damage evolution of 0° UD laminates. Axial tension‐tension fatigue tests of [0]16 CFRP laminates were carried out, and the evolutionary behavior of damages was confirmed by fatigue dissipated energy. Then, the internal damages of fatigued specimens were observed and reconstructed using Micro‐CT, and statistical parameters such as damage sphericity, length and angle were calculated. The spatial distribution characteristics of cracks were further acquired by surface porosity and frequency distribution of damage positions in ROI. Early damages from tensile‐tensile fatigue in 0° UD laminates extend along the fiber direction with original defects in the interlayer resin enrichment areas as the nucleus, and tend to concentrate near the width edge of the specimens. Finally, a “sandwich” structural model was developed to analyze the internal stresses of laminates under the influence of interlayer resin enrichment. The FEA results revealed that the internal stresses σy and σz concentrate near the width edges of the specimen, resulting in cracks tend to evolve more in the regions close to edges. Highlights Imaging matrix cracks of specimens by Micro‐CT at 12.91 μm voxel size. Demonstrating evolution patterns of cracks with its morphology statistics. Revealing crack distributions in ROIs with variations of surface porosity. Analyzing internal stress distribution by “sandwich” model created from reality.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Thermography and Photoacoustic Techniques · Ultrasonics and Acoustic Wave Propagation · Mechanical Behavior of Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Frontiers Science Center for Smart High‐speed Railway System Beijing Jiaotong University Beijing China

School of Mechanical, Electronic and Control Engineering Beijing Jiaotong University Beijing China

Funding

National Natural Science Foundation of China

References (47)

Show source-provided references
1. 10.1016/j.ijfatigue.2010.03.01310.1016/j.ijfatigue.2010.03.013 ↗
2. 10.1016/j.ijfatigue.2009.09.00810.1016/j.ijfatigue.2009.09.008 ↗
3. 10.1002/pc.2717610.1002/pc.27176 ↗
4. 10.1111/ffe.1306510.1111/ffe.13065 ↗
5. 10.1016/j.compositesa.2005.07.00310.1016/j.compositesa.2005.07.003 ↗
6. 10.1016/j.compositesa.2007.01.01610.1016/j.compositesa.2007.01.016 ↗
7. 10.1016/j.compositesa.2012.03.00310.1016/j.compositesa.2012.03.003 ↗
8. 10.1016/j.ijfatigue.2015.11.00510.1016/j.ijfatigue.2015.11.005 ↗
9. 10.1016/j.compscitech.2017.02.00410.1016/j.compscitech.2017.02.004 ↗
10. 10.1520/STP34323S10.1520/STP34323S ↗
11. 10.1016/B978‐0‐08‐029384‐4.50032‐810.1016/B978‐0‐08‐029384‐4.50032‐8 ↗
12. 10.1016/B978‐0‐444‐70507‐5.50006‐810.1016/B978‐0‐444‐70507‐5.50006‐8 ↗
13. 10.1016/s0142‐1123(01)00084‐610.1016/s0142‐1123(01)00084‐6 ↗
14. 10.1016/j.ijfatigue.2009.01.01510.1016/j.ijfatigue.2009.01.015 ↗
15. 10.1016/j.tws.2020.10697810.1016/j.tws.2020.106978 ↗
16. 10.1016/j.compscitech.2014.05.01210.1016/j.compscitech.2014.05.012 ↗
17. 10.1016/j.compscitech.2016.03.01510.1016/j.compscitech.2016.03.015 ↗
18. 10.1016/j.ijfatigue.2020.10559010.1016/j.ijfatigue.2020.105590 ↗
19. 10.1007/s12221‐019‐1194‐910.1007/s12221‐019‐1194‐9 ↗
20. 10.1016/0266‐3538(91)90087‐610.1016/0266‐3538(91)90087‐6 ↗
21. 10.1016/S0266‐3538(02)00068‐410.1016/S0266‐3538(02)00068‐4 ↗
22. 10.1016/j.proeng.2018.02.07610.1016/j.proeng.2018.02.076 ↗
23. 10.1016/j.compscitech.2018.11.04410.1016/j.compscitech.2018.11.044 ↗
24. 10.1016/j.compscitech.2023.11043010.1016/j.compscitech.2023.110430 ↗
25. 10.1016/j.compstruct.2023.11755410.1016/j.compstruct.2023.117554 ↗
26. 10.1016/j.ndteint.2023.10289710.1016/j.ndteint.2023.102897 ↗
27. 10.1016/j.ijfatigue.2006.02.03610.1016/j.ijfatigue.2006.02.036 ↗
28. 10.3390/s1802060910.3390/s18020609 ↗
29. 10.1016/j.ijfatigue.2007.02.02410.1016/j.ijfatigue.2007.02.024 ↗
30. 10.1177/2634983324125361910.1177/26349833241253619 ↗
31. 10.1177/0021998321105070510.1177/00219983211050705 ↗
32. 10.1016/j.compscitech.2006.01.00310.1016/j.compscitech.2006.01.003 ↗
33. 10.1016/j.scriptamat.2008.07.03410.1016/j.scriptamat.2008.07.034 ↗
34. 10.1016/j.compscitech.2016.07.03010.1016/j.compscitech.2016.07.030 ↗
35. 10.1016/j.compscitech.2012.12.00610.1016/j.compscitech.2012.12.006 ↗
36. 10.1016/j.compositesa.2013.05.00310.1016/j.compositesa.2013.05.003 ↗
37. 10.1016/j.compstruct.2023.11693410.1016/j.compstruct.2023.116934 ↗
38. Standard Test Method for Tension‐Tension Fatigue of Polymer Matrix Composite Materials.
39. 10.1016/S0022‐460X(03)00107‐X10.1016/S0022‐460X(03)00107‐X ↗
40. 10.1016/j.compstruct.2012.09.04610.1016/j.compstruct.2012.09.046 ↗
41. 10.1016/j.compscitech.2020.10823310.1016/j.compscitech.2020.108233 ↗
42. 10.1016/j.ijfatigue.2006.01.01310.1016/j.ijfatigue.2006.01.013 ↗
43. 10.1038/162329b010.1038/162329b0 ↗
44. 10.1016/j.compscitech.2023.11041310.1016/j.compscitech.2023.110413 ↗
45. 10.1016/j.compscitech.2022.10955010.1016/j.compscitech.2022.109550 ↗
46. 10.16183/j.cnki.jsjtu.1984.05.00410.16183/j.cnki.jsjtu.1984.05.004 ↗
47. 10.1016/j.msea.2005.09.10210.1016/j.msea.2005.09.102 ↗