These are the raw data from the study "Micro-mechanical Behavior of Fault Stick-slip Under Direct Shear: Insight From Acoustic Emission Spectrum Characteristics", which primarily includes acoustic emission data and direct shear data.

Under the action of continuous rainfall or excavation unloading, the strength index of soil deteriorates, but most of the current slope stability calculations directly regard it as a constant. To approach the real failure mode of slope instability, based on the Swedish slice method and the first-order linear strain-softening theory, this paper proposes a new method for slope progressive failure analysis, deduces the limit equilibrium expression of the strain-softening slope, and obtains the safety factor under the corresponding damage progress. Through the analysis of simulation examples, the feasibility of the slice-softening method is illustrated, and the calculation results show that the safety factor in the progressive failure process not only depends on the failure mode and strength parameters of the slope but is also closely related to the softening modulus of the rock and soil mass. At the same time, by comparing and checking the actual cases of the Danba landslide, it is confirmed that there are different attenuation coefficients for its strength index, that is, the attenuation coefficient of cohesion is greater than the friction angle. From theory to application, the finally obtained slice-softening method not only considers the strength degradation effect of rock and soil mass under the action of rainfall and the gradual development of sliding surface but can also effectively serve the stability analysis of slope under the background of practical engineering and provide guidance and suggestions for the prevention and treatment of landslides.

Brittle failure of rock masses poses a great threat to safety and property in underground engineering and slope engineering. It is necessary to develop effective methods to evaluate the damage degree of rock masses and make predictions of sudden failure. In this paper, a new method is proposed to extract damage information about rocks from acoustic emission (AE) data, and three indicators are obtained: the average local maxima of the frequency response along the propagation path (ALM), the average correlation value (ACV), and the standard deviation of the main frequencies of different signals (SD). Lead break tests and uniaxial compression tests are conducted to verify the applicability and effectiveness of the indicators. The results show that the frequency of the elastic wave will change after the elastic wave propagates along a path. When final failure state is approached, the ACV often decreases, while the ALM and SD increase. The p value based on a comprehensive analysis of the three indicators is convenient for estimating the damage degree, and it performs better than the traditional b value in predicting final failure when experimental conditions are suitable. The method proposed in this paper provides a new way to analyze AE data by focusing on the differences in waves from different sensors instead of the rupture sources. The indicators can provide precursor information for the failure and damage degree of rock masses.

Many water conservancy and hydropower projects are located in karst areas of which complicated structure would cause significant risks to water conservancy and hydropower projects, so identifying the presence or absence of pipeline leaks is one of important basic conditions for water conservancy and hydropower project. Determining the existence of leakage channels has important applications tracer diffusion of water tracer experiment, this paper is the experimental investigation of tracer leakage passage of a hydropower station in West China, determining the existence of leakage passage can be worked through experimental investigation on part of the left abutment of the hydropower predict leakage passage to.