Rock mass engineering parameter calculation method and system based on statistical rock mass mechanics

Abstract

The invention discloses a rock mass engineering parameter calculation method and system based on statistical rock mass mechanics. According to the calculation method, field test data of rock uniaxialcompressive strength, deformation parameters and a rock mass structural surface network and the structural surface friction angle serves as the basis, engineering design parameters such as the anisotropy elasticity modulus, the poisson ratio, the permeability ellipsoid and the permeability coefficient and anisotropy ratios and weakening coefficients of various parameters are calculated, and all-space-direction rock mass quality grading is conducted. By means of the calculation method, more reliable calculation parameters can be provided for engineering design through comparison and revision ofa proper quantity of in-situ test data, the workload and investment for large in-situ tests can be greatly reduced, and the period of early-stage investigation of a project can be remarkably shortened, so that huge engineering and economic benefits are generated.

Description

technical field [0001] The invention relates to the field of rock mass engineering, in particular to a rock mass engineering parameter calculation method and system based on statistical rock mass mechanics. Background technique [0002] At present, rock mass engineering design in various countries mostly adopts rock mass quality classification as the basis, and conducts standardized design based on empirical norms. This method divides the ever-changing rock mass quality into 5 (or 6) grades, which is not only very rough, but also cannot reflect the anisotropic characteristics of the rock mass quality. [0003] The direct basis of rock mass engineering design is rock mass engineering parameters, such as rock mass quality index RQD, deformation modulus, shear strength, permeability coefficient and other parameters. These parameters can only be obtained through large-scale field tests at present, or calculated by empirical formulas based on rough rock mass quality classificati...

AI Technical Summary

Problems solved by technology

Obviously field tests, such as large-scale load tests, shear tests, borehole lithology catalogs, and hydrogeological tests, are not only cumbersome, costly, and time-consuming, but also have prominent dispersion and poor reliability due to the representativeness of the test points. There are many sample points, which leads to high cost, and the method based on rock mass quality classification mostly calculates rock mass engineering parameters through empirical formulas, which is not only rough, but also cannot objectively reflect the anisotropy properties of rock mass

At the same time, the rock mass quality classification method cannot obtain rock mass permeability coefficient and other parameters, and the rock mass engineering parameter value method seriously restricts the reliability of engineering design and the safety of engineering operation

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