| نویسندگان | Reza Rostamlo-Jooshin,Mojtaba Bahaaddini |
| نشریه | Scientific Reports |
| شماره صفحات | 1-21 |
| شماره سریال | 16 |
| شماره مجلد | 1 |
| ضریب تاثیر (IF) | 4.259 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2025 |
| نوع نشریه | چاپی |
| کشور محل چاپ | ایران |
| نمایه نشریه | ISI،JCR،isc،Scopus |
| کلید واژه ها | Block in matrix rock (Bimrock), Block orientation, Volumetric block proportions (VBP), Failure mechanism, Uniaxial compression tests, Analysis of variance (ANOVA) |
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چکیده مقاله
The mechanical characterization of block-in-matrix rocks (bimrocks) remains a significant challenge
in geotechnical engineering, primarily due to the difficulty of obtaining undisturbed specimens. While
the Volumetric Block Proportion (VBP) is a recognized controlling factor, the specific role of block
orientation is not well quantified. This study employs a systematic experimental approach, augmented
by Response Surface Methodology (RSM) and Analysis of Variance (ANOVA), to investigate the effect
of block orientation angle relative to loading direction (α) on the uniaxial compressive strength (UCS),
deformation, and failure mechanisms of bimrock. A total of 87 synthetic specimens with VBP from
0% to 50% and α from 0° to 90° were tested. Statistical analyses confirm that both VBP and α, as
well as their interaction, are statistically significant for both UCS and Elastic modulus. An increase in
VBP reduces UCS, though this effect reduces with increasing α. Failure analysis reveals that higher
VBP increases crack density, while an increase in α from 0˚ to 90˚ forces failure paths to become more
tortuous. The Elastic modulus increases with VBP, with the most pronounced stiffening effect at α = 0°
(vertical alignment). This effect diminishes with an increase in α and approaches that of the pure soil
for α = 90°. In contrast, Poisson’s ratio showed no systematic trend, underscoring its sensitivity to local
heterogeneity of Bimrock. This research conclusively demonstrates that block orientation is a critical,
independent governing parameter. Consequently, predictive models must account for the interaction
between block proportion and orientation to accurately simulate bimrock behaviour.
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