Rock elastic deformation energy index determination method, system, terminal and readable storage medium
A measurement method and elastic deformation technology, applied in the field of system, rock elastic deformation energy index measurement method, terminal and readable storage medium, can solve the problems of inability to accurately determine the unloading point, inability to accurately measure rock elastic deformation energy index, etc. Achieve the effect of accurate rock elastic deformation energy index and accurate prediction results
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Embodiment 1
[0076] Present embodiment provides a kind of measuring method of the measuring method of rock elastic deformation energy index, it comprises the following steps:
[0077] Step 1: Obtain a rock sample, and measure the density, compressional wave velocity and uniaxial compressive strength of the rock sample.
[0078] Among them, the rock to be tested is prepared as a standard rock specimen that meets the requirements of relevant test specifications and procedures, and the specimen is labeled as a rock sample. The density, P-wave velocity, and uniaxial compressive strength of the rock samples were then determined as follows.
[0079] Test the density ρ of standard rock specimens: first measure the volume V of each standard rock specimen, then measure the mass m of each standard rock specimen on a precision balance (weighing is accurate to 0.01g), and calculate the ore rock according to the following formula After the natural density, record the resulting rock density in the data...
Embodiment 2
[0111] This embodiment provides a measurement system based on the above measurement method, which includes: a parameter acquisition module, a model construction module and a measurement module.
[0112] Among them, the parameter acquisition module is used to obtain the density, longitudinal wave velocity and uniaxial compressive strength of the rock sample;
[0113] The model building module is used to input the density, longitudinal wave velocity and uniaxial compressive strength of the rock sample into the machine learning model as input data to obtain the uniaxial compressive strength prediction model;
[0114] Wherein, the input characteristics of the uniaxial compressive strength prediction model are the density and the longitudinal wave velocity of the rock; the output data are the uniaxial compressive strength of the rock;
[0115] The measurement module is used to measure the uniaxial compressive strength of the rock to be tested by using the uniaxial compressive stren...
Embodiment 3
[0119] This embodiment provides a terminal, which includes: one or more processors and a memory storing one or more programs, and the processor invokes the program to implement:
[0120] Step 1: Obtain a rock sample, and measure the density, longitudinal wave velocity and uniaxial compressive strength of the rock sample;
[0121] Step 2: Input the density, longitudinal wave velocity and uniaxial compressive strength of the rock sample as input data into the machine learning model to obtain the uniaxial compressive strength prediction model;
[0122] Wherein, the input characteristics of the uniaxial compressive strength prediction model are the density and the longitudinal wave velocity of the rock; the output data are the uniaxial compressive strength of the rock;
[0123] Step 3: Using the uniaxial compressive strength prediction model to determine the uniaxial compressive strength of the rock to be tested;
[0124] Step 4: Perform uniaxial loading and unloading tests based...
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