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Method for building rough stochastic discrete joint network models

A network model and construction method technology, applied in the direction of electrical digital data processing, CAD numerical modeling, special data processing applications, etc., can solve problems such as complex morphology characteristics of structural surfaces, mechanical parameter errors, etc.

Active Publication Date: 2017-09-26
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0005] At present, scholars at home and abroad assume that the structural surface is planar or linear, and thus establish a discrete network DFN mechanical model of the structural surface to carry out numerical calculation and analysis. However, the structural surface itself has certain roughness characteristics. Even for sedimentary rocks, its internal bedding is also Most of them present a certain roughness shape, and most of the existing discrete network DFN models do not consider the complex shape characteristics of structural surfaces; in addition, the existing research results often focus on the mechanical properties of a single (single group) rough joint (such as shear resistance properties, seepage, etc.), there will still be some errors when carrying out numerical analysis of jointed rock mass and characterizing the mechanical parameters of jointed rock mass

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  • Method for building rough stochastic discrete joint network models
  • Method for building rough stochastic discrete joint network models
  • Method for building rough stochastic discrete joint network models

Examples

Experimental program
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Effect test

Embodiment

[0064] (1) Select typical engineering examples of rough distribution joints (such as Figure 6 (a), Figure 6 (b)), carry out on-site structural surface investigation, and judge the geometric distribution model of joints through rock mass structural surface investigation and information identification.

[0065] The principle of modeling the geometric distribution using the sinusoidal RDFN model is as follows:

[0066] (a) The roughness of the joints is according to the sinusoidal curve OK, as in Figure 7 (a); Realized by changing the amplitude, transformation period, and curve stretching, a joint model similar to that obtained in the field test is obtained.

[0067] (b) if Figure 7 (b), Joint traces with a certain inclination angle and spatial distribution obtained by rotation and translation. The line connecting the two ends of the joint (x1, y1) and (x2, y2) can also be regarded as the pseudo-trace line of the joint, the length L is the pseudo-length; (x0, y0) is the...

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Abstract

The invention provides a method for building rough stochastic discrete joint network models, and belongs to the field of technologies for modeling complex joint rock mass. The method includes surveying rock mass structural planes and identifying information; digitally representing spatial distribution of geometric morphology of the rick mass structural planes; statistically analyzing probability models of geometric occurrence information of the structural planes; creating stochastic rough geometric joint curves corresponding to the geometric morphology; creating model interfaces of Matlab and mechanical analysis software PFC by the aid of digital image processing technologies; physically modeling built RDFN models by the aid of 3D (three-dimensional) printers to provide the models for indoor similarity tests. The method has the advantages that representation processes and model bases can be provided for reasonable research on mechanical characteristics of joint rock mass, and scientific bases can be provided for guiding rock and soil engineering construction, support designs and the like by achievement.

Description

technical field [0001] The invention relates to the technical field of complex joint rock mass modeling, in particular to a method for constructing a rough random discrete joint network model. Background technique [0002] When analyzing deep soft rock engineering problems, scholars pointed out that due to the control of joint structural planes, rock mass deformation and failure often present asymmetric deformation and failure, which makes it difficult to effectively control the deformation or failure of surrounding rock by conventional symmetrical support on site. The research shows that the failure mode of surrounding rock under the excavation disturbance of jointed rock mass is often significantly affected by the distribution of joints. The mechanical properties of joints are the premise of accurately understanding the mechanical properties of rock mass, and it is also the basis for improving the accuracy of numerical simulation of rock mass mechanics. Therefore, in-dept...

Claims

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Application Information

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IPC IPC(8): G06F17/50G01N1/28
CPCG01N1/28G06F30/20G06F2111/10
Inventor 王培涛任奋华李森
Owner UNIV OF SCI & TECH BEIJING
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