Damage analysis in a composite by X-ray tomography methods using the structure tensor

Damage analysis in a composite by X-ray tomography methods using the structure tensor Full article

Conference

Физическая мезомеханика материалов. Физические принципы формирования многоуровневой структуры и механизмы нелинейного поведения
05-08 Sep 2022 , Томск

Journal

AIP Conference Proceedings
ISSN: 0094-243X

Output data

Year: 2023, Volume: 2899, Number: 1, Article number : 020010, Pages count : DOI: 10.1063/5.0162973

Authors

Bannikov Mikhail ¹ , Bayandin Yuriy ¹ , Naimark Oleg ¹ , Pruuel Eduard ² , Kuper Konstantin ³

Affiliations

1	Institute of Continuous Media Mechanics, UB RAS, 1, Ac. Korolev str., Perm, Russia, 614013
2	Lavrentyev Institute of Hydrodynamics, SB RAS, 15, Lavrentyev av., Novosibirsk, Russia, 630090
3	Budker Institute of Nuclear Physics, SB RAS, 11, Lavrentyev av., Novosibirsk, Russia, 630090

The aim of the work is to analyze X-ray synchrotron microtomography data obtained for polymers reinforced with carbon fibers and to reveal the multiscale regularities of damage development caused by both the technological manufacturing process and the deformation contribution to the loading process of a sample of layered polymer composite material. It is known that the orientation distribution determined by the fiber stacking technology causes the mechanical properties of composites, and the production quality primarily determines the performance characteristics of material. Generally accepted methods for characterizing composites involve identifying fibers as individual objects, which requires high-resolution X-rays and large computational resources. This paper investigates damage analysis based on the field determination of the structure tensor of a representative volume of the composite, which makes it possible to determine both technological defects and accumulated damage during the deformation process.

Bannikov M. , Bayandin Y. , Naimark O. , Pruuel E. , Kuper K.
Damage analysis in a composite by X-ray tomography methods using the structure tensor
AIP Conference Proceedings. 2023. V.2899. N1. 020010 . DOI: 10.1063/5.0162973 Scopus OpenAlex

Scopus:	2-s2.0-85176907921
OpenAlex:	W4386703474

DB	Citing
OpenAlex	Нет цитирований
Scopus	Нет цитирований