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Geological Mining Simulation Experiment

DIC systemGeological mining simulation

Geological mining simulation experiments usually involve simulating the various stress states that rock or soil strata experience during mining, such as compression, tension, and shear. These stresses cause deformation and fracturing of the rock or soil, which in turn affects mining safety.

Traditional measurement methods, such as strain gauges or contact sensors, can provide some strain data, but their installation and use have certain limitations when dealing with complex geological specimens. In simulation experiments in particular, due to the heterogeneity and complex surface morphology of geological specimens, contact sensors may fail to fully capture the strain distribution on the specimen surface, resulting in less accurate measurement results.

Binocular DIC technology uses two high-resolution cameras to synchronously capture the surface of the experimental specimen from different angles, and computes the 3D displacement field and strain field of the specimen by comparing surface images under different load conditions. Compared with traditional methods, the non-contact measurement of binocular DIC technology avoids the interference of sensor installation with the specimen, ensuring the completeness and accuracy of the measurement data. In addition, since DIC technology enables full-field measurement, researchers can obtain the strain distribution over the entire specimen surface and analyze stress concentration regions and potential fracture points in detail.

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In geological mining simulation experiments, binocular DIC technology is particularly suitable for studying crack initiation and propagation. Geological materials often develop cracks due to stress concentration during mining, and the propagation of these cracks can lead to catastrophic consequences. With binocular DIC, researchers can monitor in real time key parameters such as crack formation, propagation paths, and the stress intensity factor at the crack tip. These data are of great significance for understanding rock fracture mechanisms and predicting geological hazards.

In addition, during the simulation experiment, researchers can observe the strain distribution and crack propagation on the specimen surface in real time through the visualization interface of the device. This immediate feedback mechanism not only improves experimental efficiency but also allows researchers to adjust experimental parameters in time to more accurately simulate real mining conditions.

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