1. Impact of angle patterns at fracture intersections on nonlinear flow behavior and local flow field: a visualization experiment.
- Author
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Wang, Meng, Guo, Pingye, Fang, Cheng, Bu, Mohua, and He, Manchao
- Subjects
- *
REYNOLDS number , *MACHINE learning , *FLOW velocity , *FLUID flow , *GAUSSIAN distribution - Abstract
The influence of angle patterns of intersecting fractures is crucial for a profound understanding of the flow characteristic of fractured rock masses. This study employs hydraulic and visualization experiments to investigate macroscopic nonlinear flow behavior and local flow field characteristics of a "one inlet two outlet" fracture intersection with varying angle patterns. The angle pattern exerts a significant influence on the morphology of the intersection, leading to enhanced nonlinear flow and altered flow rate distribution. Both the nonlinear coefficient (b) and the ratio of flow rate distribution (ɛ) exhibit a Gaussian distribution pattern with respect to the angle patterns. By observing the intersection morphology and local flow fields under different angle patterns, it was found that the protrusion caused by the inlet and outlet fractures significantly impacts the fluid flow entering the outlet fractures, particularly under high Reynolds number (Re) conditions. Using a machine learning algorithm based on neural networks, the flow rate distribution at the outlet of the intersection fracture under different Re values and angle patterns is predicted. The model demonstrated accurate predictions of the outlet flow rate distribution for intersection fractures under diverse conditions. Additionally, by analyzing the flow velocity and flow characteristics at different positions within the intersection, the relationship between the macroscopic flow rate distribution and the flow field characteristics at the intersection has been clarified. These results will aid in the study of groundwater flow behavior, fluid flow in microfluidic chips, and seepage heat transfer. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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