| نویسندگان | Mohammad Mahdi Khatib,Behnam Rahim,Khashayar Kavyani-Sadr,Young-Seog Kim |
| نشریه | Journal of Structural Geology |
| شماره صفحات | 1-12 |
| شماره سریال | 31 |
| شماره مجلد | 154 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2022 |
| رتبه نشریه | ISI |
| نوع نشریه | چاپی |
| کشور محل چاپ | ایران |
| نمایه نشریه | ISI،JCR،Scopus |
چکیده مقاله
The cross-cutting of Riedel fractures in brittle strike-slip shear zones creates fault blocks. Open spaces develop
between the blocks as they rotate due to increased shear deformation. The present research focuses on extending
open spaces vary from one shear zone to others depending on the dip direction of the sub-fractures and the
structural styles of the shear zones. The relationship between the amount of shear (γ) and 3D open spaces in
brittle shear zones has been examined with the help of analogue modelling and statistical analysis based on the
results obtained from the models. The dip direction of R-fractures within a shear zone has been shown to play a
crucial role in the creation and the volume of open spaces (VOS). However, its effects differ from a simple shear
to transpressive regime. In the former, the VOS was higher when the dip direction of R-fracture planes was
synthetic to the shear sense. Furthermore, near-vertical R-fractures showed a tendency to form more space and
vice versa. The effect of R′
-shear dip angle on the VOS under various shear strains was low, and its influence was
restricted to situations affecting the rotation of Riedel blocks. The total positive dilatation in the transpression
was higher than that under simple shear. For both deformation settings, most of the open spaces occurred along
the R′
-fractures. The role of the statistical analysis in this study was to evaluate the predictive power of variables
such as shear strain (γ), angle of convergence (α), and R-fractures dip angle (θR). These parameters were obtained
from the modelling and their significant efficacy of dilatation. 10% leave out cross-validation method was used to
evaluate the accuracy of the prediction of open spaces. Moreover, 82.5% of the random variations of the open
spaces can be accurately predicted by the controlling variables: θR, θR′, α, and γ.
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