Shear Nonlinear Behavior of Rock Discontinuities with Different Joint Roughness Coefficients

The storage of coal gangue, a solid waste byproduct, occupies valuable land resources and contributes to environmental pollution, making it a major concern. To enhance the utilization of coal gangue and promote its reduction at the source, resource recovery, and harmless disposal, this study investigates the preparatio... Read more.

To promote the proper disposal of local coal mine solid waste, such as coal gangue, improve the resource recovery rate of the mine, and ensure the safe use of surface buildings, Bulianta Coal Mine aims to utilize coal gangue and fly ash for cemented paste backfill. The goal is to establish a backfilling technology s... Read more.

To study the shear failure behavior of rock discontinuity, direct shear tests are carried out on artificial rock discontinuity samples with different roughness under various normal stresses, the influence of roughness on the strength of rock discontinuity is studied, the nonlinear characteristics of rock discontinuity shear are studied according to the variation of shear stiff... Read more.

In order to reveal the deformation mechanism of surrounding rock in the three-soft coal seam with GSER(GSER), through physical simulation experiment, the roof strata fracture evolution under the three conditions of no roof cutting general support, top cutting high-strength support, and roof cutting public support is simulated, the roof structures mechanical structure m... Read more.

Abstract: Grouting is an effective way to control the fractured surrounding rock in underground engineering. Quantitatively obtaining the strength parameters of Read more.

As a kind of dynamic real-time monitoring technology, microseismic monitoring technology has been widely used for rockburst warning. Due to the complexity of the actual monitoring environment, the monitoring signals often contain different types of noise, affecting the earning warning of rockburst. In this study, an Autoencoder Convolutional Neural Network denoising mode... Read more.