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DOI 10.1038/s41598-024-70252-6

Медицинская библиотека · Scientific reports · 2024

Experimental study of rock fracture behavior under direct tension using three-dimensional digital image correlation.

Guo Xiaoxiao, Tang Yang, Liu Jianfeng, Chen Cancan, Zhang Hailong, Zhang Fan, Okubo Seisuke

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Аннотация

Understanding the mechanical characteristics of rocks when subjected to direct tension is crucial for assessing the stability of rock formations. Within the scope of this research, a series of tests was conducted using Tage tuff to assess the deformation behavior and crack extension of rock under direct tension. The axial, lateral, and shear strain fields as well as crack propagation, localized deformation behavior, and failure mode of the rocks were analyzed using three-dimensional digital image correlation method. The results showed that the axial strain fields on the specimen surface were heterogeneous, with different locations and localization occurring in the pre-peak stage, which was similar to the evolution of shear strain, whereas the lateral strain only showed slight changes. The crack extension direction was inferred, indicating that both tensile and shear stress occurred in the tests. Furthermore, different stress-strain responses were observed for the inside and outside of the localized bands. Then, the surface patterns of specimen failure were scanned and analyzed to assess the failure mode and residual strength of the specimen under direct tensile stress. Finally, the results of direct tension, uniaxial compression, and Brazilian split tests for Tage tuff were compared, and the complete stress-strain curve of uniaxial tension (UT) was simulated using a nonlinear-variable-compliance constitutive equation. This study provides a deeper understanding into the damage behavior of rocks under direct tension.

Для цитирования: Guo Xiaoxiao, Tang Yang, Liu Jianfeng, Chen Cancan, Zhang Hailong, Zhang Fan, Okubo Seisuke. Experimental study of rock fracture behavior under direct tension using three-dimensional digital image correlation.. Scientific reports. 2024. DOI: 10.1038/s41598-024-70252-6.
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