Systems and Means of Informatics
2026, Volume 36, Issue 3, pp 102-127
QUANTITATIVE ANALYSIS OF CRACKING IN POLYMER COMPOSITE MATERIALS BY COMPUTED TOMOGRAPHY
- A. V. Panteleev
- N. V. Turbin
- N. A. Tuchkov
- R. L. Talya
- K. V. Akchupanov
- K. K. Ibrishev
Abstract
The article presents the results of a polymer composite material (PCM) matrix cracking analysis performed using a newly developed method for crack density detection based on computed tomography data. This method allows for the automatic detection and tracking of microcracks across successive tomographic sections. The underlying algorithm is based on modern computer vision concepts.
An aircraft-grade carbon fiber with a 33-layer stacking sequence representative of key aircraft wing structural components such as load-bearing panels and spars, was investigated. Matrix cracking in the PCM samples occurred as a result of the application of cyclic tensile loads. Prior to cyclic loading, quasi-static tensile tests were performed to determine the tensile strength of the samples. The number of applied load cycles was selected experimentally from the conditions for maintaining the integrity of the sample, on the one hand, and the significant development of matrix cracking in the layers on the other. The tomographic image crack search algorithm consists of several stages, including determination of the orientation and thickness boundaries of layers, detecting areas with cracks, and correcting identified cracks based on data obtained in adjacent layers. Scharr and Sobel filters, morphological operations, and binarization were used to process the tomographic images. As a result of the application of the method for the studied PCM, crack density distributions in layers, ratios of long and short cracks, as well as statistical characteristics of the distributions obtained - representing the basis for analyzing PCM crack resistance necessary for the high-quality processing of PCM characterization tests - were obtained.
[+] References (25)
- Shen, H., W. Yao, W. Qi, and J. Zong. 2017. Experimental investigation on damage evolution in cross-ply laminates subjected to quasi-static and fatigue loading. Compos. Part B - Eng. I20:10-26. doi: 10.1016/j.compositesb.2017.02.033.
- Li, X., J. Kupski, S. Teixeira De Freitas, R. Benedictus, and D. Zarouchas. 2020. Unfolding the early fatigue damage process for CFRP cross-ply laminates. Int. J. Fatigue 140:105820. lip. doi: 10.10l6/j .ijfatigue.2020. 10582O.
- Kotter, B., J. Endres, J. Korbelin, et al. 2021. Fatigue and fatigue after impact behaviour of thin-and thick-ply composites observed by computed tomography. Composites Part C Open Access 5:lo0l39. l2 p. doi: I0.l0l6/j.jcomc.202l.l00l39.
- Abgaryan, K.K., and A. A. Zhuravlev. 2022. Metody mnogomasshtabnogo modelirovaniya v zadachakh tsifrovogo materialovedeniya [Methods of multiscale modeling in the problems of digital materials science]. Moscow: MAX Press. I20p. doi: 10.29003/ M3138.978-5-317-06870-7. EDN: ASHFBK.
- Li, X., R. Benedictus, and D. Zarouchas. 2022. Early fatigue damage accumulation of CFRP Cross-Ply laminates considering size and stress level effects. Int. J. Fatigue 159:106811. l4p.doi: lO.lOl6/j.ijfatigue.2022.106811.
- Abgaryan, K. K., N. L. Zagordan, and Y. D. Mochalova. 2023. Metod komp'yuternogo modelirovaniya uprugikh kharakteristik mnogosloynykh kompozitsionnykh materialov [Method for computer modeling of elastic characteristics of multilayer composite materials]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics
33(4):92-l0l. doi: 10.14357/08696527230409. EDN: DPZJSX.
- Panteleev, A. V., N. V. Turbin, I. S. Nadorov, and N. O. Kononov. 2025. Metaevristicheskie algoritmy dlya identifikatsii parametrov trekhmernoy modeli snizheniya ustalostnoy zhestkosti kompozitsionnykh materialov [Metaheuristic optimization algorithms of parametric identification of a three-dimensional model for reducing the fatigue stiffness of composite materials]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 35(4):73-9l. doi: 10.14357/08696527250406.EDN: PTPHPN.
- Yamaev, A.V., M.V. Chukalina, D. P. Nikolaev, A.V. Sheshkus, and A. I. Chulichkov. 2021. Neural network for data preprocessing in computed tomography. Automat. Rem. Contr. 82(l0):l752-l762. doi: 10.1134/S000511792110012X. EDN: EWVEOZ.
- Chukalina, M.V. 2025. Izmeritel'no-vychislitelnye metody rentgenovskoy diagnostiki dlya opredeleniya atomnoy i morfologicheskoy (prostranstvennoy) struktury materialov i izdeliy mikro- i nanoelektroniki [Measuring and computing methods of X-ray diagnostics for determining the atomic and morphological (spatial) structure of materials and products of micro- and nanoelectronics]. Chernogolovka. D.Sc. Diss. 327 p.
- Wagner, P., O. Sehwarzhaupt, and M. May. 2019. In-situ X-ray computed tomography of composites subjected to fatigue loading. Mater. Lett. 236:128-130. doi: 10.1016/ j.matlet.2018.10.078.
- Lizarralde, I., E. Sapountzi, T. Benethuiliere, F. Sket, and C. Gonzalez. 2022. An X-ray computed tomography analysis of damage induced by thermal cycling in non-crimp fabric composites. Compos. Part A - Appl. S. 152:106699. 10 p. doi: 10.1016/j .compositesa .2021.106á99.
- Li, L., X. Guo, and Y. Liu. 2022. Characterization of cyclic loading/unloading damage behavior in fiber-reinforced ceramic-matrix composites using inverse tangent modulus. J. Eur. Ceram. Soc. 42(5): 1912-1927. doi: 10.1016/j.jeurceramsoc.2021.12.060.
- Takahashi, K., R. Shoya, T. Matsuo, et al. 2022. X-ray nanoimaging of a transversely embedded carbon fiber in epoxy matrix under static and cyclic loads. Sci. Rep. -
U.K. 12(1):8843. 12 p. doi: 10.1038/S41598-022-12724-1.
- Ma, P. H., D.-Y. HU, Y. Liu, et al. 2025. In-situ study on fatigue failure of plain woven SiC//SiC composites based on X-ray computed tomography. J. Phys. Conf. Ser. 2947(1):012002. 8p. doi: 10.1088/1742-6596/2947/1/012002.
- Li, L. 2025. Microscale model for crack opening/closure behavior in C/SiC composite under in-situ multi-step cyclic-fatigue loading. Compos. Part B - Eng. 925:113268. 23 p. doi: 10.1016/j.compositesb.2025.113268.
- Schilling, P. J., B.R. Karedla, A. K. Tatiparthi, et al. 2005. X-ray computed microtomography of internal damage in fiber reinforced polymer matrix composites. Compos. Sci. Technol. 65(14):2071-2078. doi: 10.1016/j.compscitech.2005.05.014.
- Rose, M., Niverty S., Schmidt B., et al. 2021. X-ray computer tomography (XCT) of fatigue damage in laser-machined versus milled carbon fiber reinforced polymer matrix composites. Eng. Fract. Mech. 252:107820. 21 p. doi: 10.1016/ j. engfracmech.2021.107820.
- Takahashi, K., T. Matsuo, K. Wakabayashi, et al. 2025. Influence of irradiation with synchrotron radiation X-ray on nano-scale CT for carbon fibers and epoxy matrix. Compos. Part A - Appl. S. 198:109060. 8 p. doi: 10.1016/j.compositesa.2025.109060.
- Panteleev, A.V., N. V. Turbin, N. A. Tuchkov, R. L. Talya, and I. A. Akhmedov. 2025. Metodika kolichestvennoy otsenki stepeni rastreskivaniya sloistogo kompozita po dannym komp'yuternoy tomografii [Method for tomographic images processing for matrix cracking quantification in composite material]. Trudy MAI [Proceedings of MAI] 143:16. 60 p. EDN: YPLTJX. Available at: https://trudymai.ru/ published.php?ID=185657 (accessed October 20, 2026).
- Panteleev, A.V., N. V. Turbin, N. A. Tuchkov, R. L. Talya, and I. A. Akhmedov. 2025. Algoritm opredeleniya granits monosloev kompozitsionnogo materiala na osnove dannykh kompyuternoy tomografii [Algorithm for monolayer boundaries identification in composite material from computer tomography images]. Trudy MAI [Proceedings of MAI] 144:13. 52 p. EDN: OUPNNE. Available at: https://trudymai.ru/ published.php?ID=186313 (accessed October 20, 2026).
- Suzuki, S., and K. Abe. 1985. Topological structural analysis of digitized binary images by border following. Comput. Vision Graph. 30(1):32-46. doi: 10.1016/0734- 189X(85)90016-7.
- Gonzalez, R.C., and R. E. Woods. 2002. Digital image processing. Upper Saddle River, NJ: Prentice Hall. 793 p.
- Shapiro, L. G., and G. C. Stockman. 2001. Computer vision. Upper Saddle River, NJ: Prentice Hall. 580 p.
- Wang, J., J. Kosinka, and A. Telea. 2021. Spline-based medial axis transform representation of binary images. Comput. Graph. 98:165-176. doi: 10.101 6/J.cag.2021.05.012.
- Chen, C. C., and C. H. Peng. 2024. Topology-preserving downsampling of binary images. Computer vision. Eds. A. Leonardis, E. Ricci, S. Roth, et al. Lecture notes in computer science ser. Cham: Springer. 15078:416-431. doi: 10.1007/978-3-031- 72661-3_24.
[+] About this article
Title
QUANTITATIVE ANALYSIS OF CRACKING IN POLYMER COMPOSITE MATERIALS BY COMPUTED TOMOGRAPHY
Journal
Systems and Means of Informatics
Volume 36, Issue 3, pp 102-127
Cover Date
2026-11-15
DOI
10.14357/08696527260306
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
composite materials; matrix cracking; computed tomography; filtration; binarization; morphological transformations
Authors
A. V. Panteleev  , N. V. Turbin  , N. A. Tuchkov  , R. L. Talya  , K. V. Akchupanov  , and K. K. Ibrishev
Author Affiliations
 Moscow Aviation Institute (National Research University), 4 Volokolamskoe Shosse, Moscow 125933, Russian Federation
|