CN115457229B - Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane - Google Patents

Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane Download PDF

Info

Publication number
CN115457229B
CN115457229B CN202211408586.6A CN202211408586A CN115457229B CN 115457229 B CN115457229 B CN 115457229B CN 202211408586 A CN202211408586 A CN 202211408586A CN 115457229 B CN115457229 B CN 115457229B
Authority
CN
China
Prior art keywords
slope
structural
structural surface
rock mass
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202211408586.6A
Other languages
Chinese (zh)
Other versions
CN115457229A (en
Inventor
李永超
祁生文
郑博文
郭松峰
罗光明
路伟
台大平
梁宁
邹宇
侯晓坤
马丽娜
宋帅华
张晓辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of Geology and Geophysics of CAS
Original Assignee
Institute of Geology and Geophysics of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute of Geology and Geophysics of CAS filed Critical Institute of Geology and Geophysics of CAS
Priority to CN202211408586.6A priority Critical patent/CN115457229B/en
Publication of CN115457229A publication Critical patent/CN115457229A/en
Application granted granted Critical
Publication of CN115457229B publication Critical patent/CN115457229B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Geometry (AREA)
  • Software Systems (AREA)
  • Remote Sensing (AREA)
  • Computer Graphics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method, a device, equipment and a medium for determining a three-dimensional network model of a rock mass structural plane, and relates to the technical field of construction of the three-dimensional network model of the structural plane, wherein the method comprises the steps of obtaining slope terrain information and slope surface layer structural plane information, and constructing a slope terrain model according to the slope terrain information and the slope surface layer structural plane information; acquiring actual slope structural plane information of field manual measurement, and determining a slope rock structural plane distribution characteristic and a slope structural plane set according to the slope terrain model, the actual slope structural plane information and a structural plane cause mechanism; determining a spatial development rule corresponding to each slope structural surface according to the distribution characteristics of the slope rock structural surfaces; and combining the slope terrain model with the space development rule corresponding to each slope structural surface to obtain a three-dimensional network model of the slope rock structural surface. The method can provide the accuracy of the three-dimensional network model of the structural plane of the slope rock mass.

Description

Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane
Technical Field
The invention relates to the technical field of construction of three-dimensional network models of structural planes, in particular to a method and a device for determining a three-dimensional network model of a rock structural plane by considering a structural plane cause mechanism, electronic equipment and a computer readable storage medium.
Background
The rock mass is widely used in traffic, water conservancy, underground and other heavy projects due to high geological bearing capacity, and is influenced by the diagenesis process and the transformation of the rock mass by internal and external power in geology, so that the rock mass forms a plurality of structural planes with complex network characteristics, the integrity of the rock mass is damaged by the structural planes, the weathering of the rock mass is accelerated, the water permeability of the rock mass is enhanced, the physical and mechanical properties of the rock mass are obviously influenced, and the stability of the rock mass project is influenced. Therefore, the distribution characteristics of the rock mass structural plane are found out, the spatial distribution form of the rock mass structural plane is accurately described, the method is a foundation for safety design and construction of rock mass engineering, and the method has great significance for guaranteeing the safety construction and operation of major engineering.
According to the cause type, the structural surface can be divided into a primary structural surface, a structural surface and a secondary structural surface, and the development laws of the structural surfaces with different causes are different. Limited by technical means, the geometrical characteristics of the internal structural plane of the rock mass are difficult to obtain, and the research on the three-dimensional space distribution rule of the structural plane with different causes is more challenging.
At present, when a structural plane three-dimensional network model is constructed, structural planes with different causes are not distinguished, all the structural planes are considered in a mixed mode, homogeneous region division and advantage occurrence grouping are carried out, grouping is only carried out on the basis of two-dimensional geometric characteristics expressed by the structural planes, and classification is not carried out on the basis of the causes of the structural planes, so that the accuracy of the constructed structural plane three-dimensional network model is difficult to guarantee.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, a device and a medium for determining a rock mass structural plane three-dimensional network model considering a structural plane cause mechanism.
In order to achieve the purpose, the invention provides the following scheme:
in a first aspect, the invention provides a method for determining a three-dimensional network model of a rock mass structural plane, which comprises the following steps:
acquiring slope terrain information and slope surface layer structural plane information, and constructing a slope terrain model according to the slope terrain information and the slope surface layer structural plane information;
acquiring actual slope structural plane information of field manual measurement, and determining a slope rock structural plane distribution characteristic and a slope structural plane set according to the slope terrain model, the actual slope structural plane information and a structural plane cause mechanism; the slope rock mass structural plane distribution characteristics comprise slope rock mass primary structural plane distribution characteristics, slope rock mass structural plane distribution characteristics and slope rock mass secondary structural plane distribution characteristics, and the slope structural plane set comprises a plurality of slope structural planes which are respectively a primary structural plane, a structural plane and a secondary structural plane;
determining a spatial development rule corresponding to each slope structural surface according to the distribution characteristics of the slope rock structural surfaces;
and combining the slope terrain model and the space development rule corresponding to each slope structural plane to obtain a three-dimensional network model of the slope rock structural plane.
In a second aspect, the present invention provides a device for determining a three-dimensional network model of a rock mass structural plane, comprising:
the slope terrain model building module is used for obtaining slope terrain information and slope surface layer structural plane information and building a slope terrain model according to the slope terrain information and the slope surface layer structural plane information;
the slope characteristic and slope structural surface set determining module is used for acquiring actual slope structural surface information of field manual measurement and determining a slope rock structural surface distribution characteristic and a slope structural surface set according to the slope terrain model, the actual slope structural surface information and a structural surface cause mechanism; the slope rock mass structural plane distribution characteristics comprise slope rock mass primary structural plane distribution characteristics, slope rock mass structural plane distribution characteristics and slope rock mass secondary structural plane distribution characteristics, and the slope structural plane set comprises a plurality of slope structural planes which are respectively a primary structural plane, a structural plane and a secondary structural plane;
the spatial development law determining module is used for determining a spatial development law corresponding to each slope structural surface according to the distribution characteristics of the slope rock structural surface;
and the slope rock mass structural plane three-dimensional network model building module is used for combining the slope terrain model and each spatial development rule corresponding to the slope structural plane to obtain the slope rock mass structural plane three-dimensional network model.
In a third aspect, the invention provides an electronic device, comprising a memory and a processor, wherein the memory is used for storing a computer program, and the processor runs the computer program to enable the electronic device to execute the rock mass structural plane three-dimensional network model determination method according to the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method for determining a three-dimensional network model of a rock mass structural plane according to the first aspect.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the method, a structural surface geological cause mechanism is used, a primary structural surface, a structural surface and a secondary structural surface are respectively considered and subjected to spatial prediction, and a plurality of groups of spatial prediction results are integrated to obtain a final rock mass structural surface three-dimensional network model, so that the problem that the accuracy of the rock mass structural surface three-dimensional network model is low due to the fact that different cause structural surfaces are not distinguished and all structural surfaces are mixed and considered when the structural surface three-dimensional network model is constructed at present is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a method for determining a three-dimensional network model of a rock mass structural plane according to the invention;
FIG. 2 is a schematic structural diagram of the rock mass structural plane three-dimensional network model determination device of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example one
As shown in fig. 1, an embodiment of the present invention provides a method for determining a three-dimensional network model of a rock mass structural plane in consideration of a structural plane cause mechanism, including the following steps.
Step 100: the method comprises the steps of obtaining slope terrain information and slope surface layer structural plane information, and constructing a slope terrain model according to the slope terrain information and the slope surface layer structural plane information.
In the embodiment of the invention, an unmanned aerial vehicle is used for carrying out fine measurement on the slope terrain and the slope surface layer structural surface, and a slope terrain model is established based on the slope terrain and the slope surface layer structural surface; the slope terrain model is used as a boundary condition of a follow-up rock mass structural plane three-dimensional network model, and specifically comprises the following steps:
carrying out close-type photogrammetry on a slope by using an M300 RTK unmanned aerial vehicle, obtaining a slope picture containing slope terrain information and slope surface layer structural plane information, carrying out space-three encryption and difference calculation on the slope picture by using Dajiang intelligent map software, finely reconstructing slope three-dimensional surface dense point cloud data, importing the slope three-dimensional surface dense point cloud data into Rhino software, and establishing a slope terrain model.
Step 200: acquiring actual slope structural plane information of field manual measurement, and determining a slope rock structural plane distribution characteristic and a slope structural plane set according to the slope terrain model, the actual slope structural plane information and a structural plane cause mechanism; the slope rock mass structural plane distribution characteristics comprise slope rock mass primary structural plane distribution characteristics, slope rock mass structural plane distribution characteristics and slope rock mass secondary structural plane distribution characteristics, and the slope structural plane set comprises multiple slope structural planes which are respectively a primary structural plane, a structural plane and a secondary structural plane.
In the embodiment of the invention, the method comprises the steps of extracting the surface structural plane information of the slope terrain model, identifying the structural plane distribution characteristics of the slope rock mass by combining structural plane data obtained by field artificial measurement, classifying the structural plane distribution characteristics of the slope rock mass according to a structural plane cause mechanism to obtain the type of the slope structural plane, and specifically comprises the following steps:
s1, collecting actual slope structural surface information by using manual measurement methods such as a line measurement method and a window measurement method, wherein the actual slope structural surface information comprises slope surface layer and adit internal structural surface information.
S2: and based on the constructed slope terrain model, extracting the surface structure surface information of the slope terrain model by using a Qinghuashan Wei EPS (expandable polystyrene) geographic information workstation.
S3: and determining the distribution characteristics of the structural plane of the slope rock mass according to the actual slope structural plane information and the surface structural plane information of the slope terrain model.
S4: the method comprises the steps of classifying the distribution characteristics of the structural surface of the slope rock mass according to a structural surface cause mechanism to obtain a slope structural surface set, namely classifying the slope rock mass structural surface set into three types of primary structural surfaces, structural surfaces and secondary structural surfaces according to the structural surface cause mechanism.
S5: and carrying out phase sequence division on the distribution characteristics of the structural surface of the slope rock mass according to the structural trace.
Step 300: determining a spatial development law corresponding to each slope structural surface, specifically comprising:
when the slope structural surface is a primary structural surface, performing geometric characteristic analysis on each element of the primary structural surface formed in the diagenetic process of the slope rock mass according to the distribution characteristics of the primary structural surface of the slope rock mass and slope geological background data, determining the probability distribution of each element of the primary structural surface according to the geometric characteristic analysis result of each element of the primary structural surface, and then obtaining a spatial development rule corresponding to the primary structural surface according to the probability distribution of each element of the primary structural surface; the elements of the original structural surface comprise the occurrence, trace length, density, position and the like of the structural surface.
When the slope structural surface is a structural surface, performing a rock loading experiment on rocks collected on the slope site indoors under different stress conditions to obtain the development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions, correcting the development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions by using the distribution characteristics of the structural surface of the slope rock body, determining the probability distribution of each element of the structural surface by using the corrected development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions, and determining the corresponding spatial development rule of the structural surface according to the probability distribution of each element of the structural surface; each element of the structural surface comprises structural surface appearance, trace length, density and position. The rock loading experiment is used for simulating the influence of the tectonic stress of each period in the geological history period on the slope rock mass, and the development characteristics of the surface layer and the internal structural plane of the slope rock mass in different stress directions are obtained.
One example is: firstly, indoor processing is carried out on rocks collected on site on a slope, and a cylindrical sample with the radius of 10 cm and the height of 20 cm is prepared; secondly, carrying out rock loading experiments with different stress sizes and stress directions on the cylindrical sample by using a high-energy CT multi-field coupling geomechanical test system to obtain the development characteristics of the surface and the internal structural plane of the cylindrical sample, and checking and verifying by using the distribution characteristic data of the structural plane of the slope rock mass structure at each stage obtained in the step S5; then analyzing the relation between the stress condition and the distribution characteristics of each element of the structural plane, and respectively obtaining the working conditions with statistical similarity to the distribution characteristics of the structural plane of the slope rock body in each period obtained in the step S4 by adjusting the loading stress and the loading direction in the rock loading experiment for multiple times; and finally, describing probability distribution of each element of the structural surface by using a probability statistics method to obtain a spatial development rule corresponding to the structural surface.
When the slope structural surface is a secondary structural surface, extracting a slope section numerical model according to a slope terrain model, correcting the slope section numerical model according to the distribution characteristics of the slope rock mass secondary structural surface, obtaining the geometric characteristics of the secondary structural surface according to the corrected slope section numerical model, determining the probability distribution of each element of the secondary structural surface according to the geometric characteristics of the secondary structural surface, wherein each element of the secondary structural surface comprises the occurrence form, the trace length, the density and the position of the structural surface, and further determining the spatial development law corresponding to the secondary structural surface according to the probability distribution of each element of the secondary structural surface, namely the spatial variation law of the development density of the secondary structural surface.
The corrected slope section numerical model is used for simulating a slope undercut process until the current form, analyzing the formation and change of a secondary structural surface caused by slope stress condition adjustment, and further extracting the geometric characteristics of the secondary structural surface.
One example is: firstly, selecting a plurality of typical sections from a slope terrain model, and establishing a slope section numerical model according to the typical sections and Rhino software; secondly, introducing a slope section numerical model into PFC software, implanting a structural plane progressive failure strength criterion numerical module capable of describing structural plane shear strength change in a software internal program, simulating a slope undercutting process until the current form based on a slope evolution history, observing the formation and development of a secondary structural plane caused by slope stress state adjustment, and obtaining the distribution characteristics of the secondary structural plane in the rock mass; and then correcting a slope section numerical model according to the distribution characteristics of the secondary structural surface of the slope rock mass, analyzing the relationship between the development characteristics of the secondary structural surface and the slope stress condition, describing the probability distribution of each element of the secondary structural surface by using a probability statistics method, namely drawing a structural surface density distribution diagram, and analyzing the distribution rule of the spatial development density of the secondary structural surface expressed on the space along with the change of the slope stress state.
Step 400: combining the slope terrain model with each kind of space development rule corresponding to the slope structural plane to obtain a three-dimensional network model of the slope rock structural plane, which specifically comprises the following steps:
(1) And determining three-dimensional distribution information of the primary structural surface in the slope according to the corresponding space development rule of the primary structural surface and the distribution characteristics of the primary structural surface of the slope rock mass.
(2) And determining the three-dimensional spread information of the structural surface in the slope according to the space development rule corresponding to the structural surface.
(3) And determining the three-dimensional spread information of the secondary structural surface in the slope according to the space development rule corresponding to the secondary structural surface.
(4) And superposing the three-dimensional spread information of the primary structural surface in the slope, the three-dimensional spread information of the structural surface in the slope and the three-dimensional spread information of the secondary structural surface in the slope on a slope terrain model to obtain a slope rock mass structural surface three-dimensional network model.
One example is:
1) And according to the corresponding space development rule of the primary structural surface and the distribution characteristics of the primary structural surface of the slope rock mass, inferring the three-dimensional distribution information of the primary structural surface in the slope, and drawing the primary structural surface in the slope terrain model by utilizing the Rhino software.
2) Based on the corresponding space development law of the structural surface, namely the probability distribution form of each element of the structural surface at each stage, the three-dimensional space distribution prediction of the structural surface is respectively carried out on the structural surfaces at different stages, and the prediction results of the multi-stage structural surfaces are combined, specifically:
according to the probability distribution of each element of each stage of structural surface, a Sampling program is compiled by MATLAB software based on a Latin Hypercube Sampling (LHS) method, sampling intervals are equally divided, random Sampling is carried out in each interval, each element of the structural surface obtained by extraction is fused to obtain three-dimensional space distribution information of the structural surface of the stage, the work is repeated on structural surfaces of other stages, and finally, the distribution information of all structural surfaces of the stage in three-dimensional space is obtained and combined.
3) Based on the space development rule corresponding to the secondary structural surface, namely the probability distribution form of each element of the secondary structural surface, the three-dimensional space distribution prediction of the rock structural surface is carried out on the secondary structural surface, and the method specifically comprises the following steps:
and similarly, fusing all elements of the secondary structural surface by using the MATLAB program to obtain the three-dimensional space distribution information of the secondary structural surface.
4) Superposing the predicted three-dimensional space distribution data of different cause structural planes with a slope terrain model to obtain a rock structural plane three-dimensional network model, and clarifying rock structural characteristics, specifically:
obtaining a slope terrain model with a primary structural surface based on the step 1), drawing construction and secondary structural surface data in the slope terrain model by utilizing Rhino software, and finally obtaining a slope rock mass structural surface three-dimensional network model.
Further, the method provided by the embodiment of the present invention further includes, after obtaining the three-dimensional network model of the structural plane of the sloping rock mass:
and determining the structural characteristics of the slope rock mass according to the three-dimensional network model of the structural plane of the slope rock mass, and developing the fine characterization of the structure of the slope rock mass. Determining the structural characteristics of the slope Rock mass according to the three-dimensional network model of the structural plane of the slope Rock mass, wherein the structural characteristics of the slope Rock mass comprise information such as Rock Quality index (RQD) and three-dimensional communication rate of the slope Rock mass,
example two
In order to implement a corresponding method of the above embodiment to achieve corresponding functions and technical effects, a rock mass structural plane three-dimensional network model determining device is provided below.
As shown in fig. 2, the device for determining a three-dimensional network model of a rock mass structural plane provided by the embodiment of the invention comprises:
the slope terrain model building module 1 is used for obtaining slope terrain information and slope surface layer structural plane information and building a slope terrain model according to the slope terrain information and the slope surface layer structural plane information.
The slope characteristic and slope structural surface set determining module 2 is used for acquiring actual slope structural surface information of field manual measurement and determining a slope rock structural surface distribution characteristic and a slope structural surface set according to the slope terrain model, the actual slope structural surface information and a structural surface cause mechanism; the slope rock mass structural plane distribution characteristics comprise slope rock mass primary structural plane distribution characteristics, slope rock mass structural plane distribution characteristics and slope rock mass secondary structural plane distribution characteristics, and the slope structural plane set comprises multiple slope structural planes which are respectively a primary structural plane, a structural plane and a secondary structural plane.
And the spatial development law determining module 3 is used for determining the spatial development law corresponding to each slope structural surface according to the distribution characteristics of the slope rock structural surface.
And the slope rock mass structural plane three-dimensional network model building module 4 is used for combining the slope terrain model and each spatial development rule corresponding to the slope structural plane to obtain the slope rock mass structural plane three-dimensional network model.
EXAMPLE III
The embodiment of the invention provides electronic equipment which comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor runs the computer program to enable the electronic equipment to execute the rock mass structural plane three-dimensional network model determining method in the first embodiment.
Optionally, the electronic device may be a server.
In addition, the embodiment of the invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the rock mass structural plane three-dimensional network model determination method of the first embodiment.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principle and the embodiment of the present invention are explained by applying specific examples, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (9)

1. A method for determining a three-dimensional network model of a rock mass structural plane is characterized by comprising the following steps:
acquiring slope terrain information and slope surface layer structural plane information, and constructing a slope terrain model according to the slope terrain information and the slope surface layer structural plane information;
acquiring actual slope structural plane information of field manual measurement, and determining a slope rock structural plane distribution characteristic and a slope structural plane set according to the slope terrain model, the actual slope structural plane information and a structural plane cause mechanism; the slope rock mass structural plane distribution characteristics comprise slope rock mass primary structural plane distribution characteristics, slope rock mass structural plane distribution characteristics and slope rock mass secondary structural plane distribution characteristics, and the slope structural plane set comprises a plurality of slope structural planes which are respectively a primary structural plane, a structural plane and a secondary structural plane;
determining a spatial development rule corresponding to each slope structural surface according to the distribution characteristics of the slope rock structural surfaces;
combining the slope terrain model with the space development rule corresponding to each kind of slope structural plane to obtain a three-dimensional network model of the slope rock structural plane;
according to the distribution characteristics of the structural surface of the slope rock mass, determining a spatial development rule corresponding to each slope structural surface, specifically comprising:
when the slope structural surface is a primary structural surface, performing geometric characteristic analysis on each element of the primary structural surface formed in the diagenetic process of the slope rock mass according to the distribution characteristics of the primary structural surface of the slope rock mass and slope geological background data, determining the probability distribution of each element of the primary structural surface according to the geometric characteristic analysis result of each element of the primary structural surface, and then obtaining a spatial development rule corresponding to the primary structural surface according to the probability distribution of each element of the primary structural surface; each element of the primary structural surface comprises structural surface attitude, trace length, density and position;
when the slope structural surface is a structural surface, performing a rock loading experiment on rocks collected on the slope site under different stress conditions to obtain the development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions, correcting the development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions by using the distribution characteristics of the structural surface of the slope rock body, determining the probability distribution of each element of the structural surface by using the corrected development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions, and determining the spatial development rule corresponding to the structural surface according to the probability distribution of each element of the structural surface; each element of the structural surface comprises structural surface occurrence, trace length, density and position;
when the slope structural surface is a secondary structural surface, extracting a slope section numerical model according to a slope terrain model, correcting the slope section numerical model according to the distribution characteristics of the slope rock mass secondary structural surface, then obtaining the geometric characteristics of the secondary structural surface according to the corrected slope section numerical model, then determining the probability distribution of each element of the secondary structural surface according to the geometric characteristics of the secondary structural surface, and further determining the spatial development rule corresponding to the secondary structural surface according to the probability distribution of each element of the secondary structural surface; and each element of the secondary structural surface comprises structural surface occurrence, trace length, density and position.
2. The method for determining the three-dimensional network model of the rock mass structural plane according to claim 1, wherein after obtaining the three-dimensional network model of the slope rock mass structural plane, the method further comprises:
determining the structural characteristics of the slope rock mass according to the three-dimensional network model of the structural plane of the slope rock mass; the slope rock mass structure characteristics comprise a slope rock mass rock quality index and a three-dimensional communication rate.
3. The method for determining the three-dimensional network model of the rock mass structural plane according to claim 1, wherein the step of obtaining the information of the slope terrain and the information of the slope surface layer structural plane and constructing the slope terrain model according to the information of the slope terrain and the information of the slope surface layer structural plane specifically comprises the steps of:
acquiring a slope picture which is acquired by an unmanned aerial vehicle and contains slope terrain information and slope surface layer structural plane information;
performing space-three encryption and difference calculation on the slope picture by using the Dajiang intelligent picture software to obtain slope three-dimensional surface dense point cloud data;
and constructing a slope terrain model according to the dense point cloud data of the slope three-dimensional surface.
4. The method for determining the three-dimensional network model of the rock mass structural plane according to claim 1, wherein the step of obtaining actual slope structural plane information of field manual measurement and determining the distribution characteristics of the slope rock mass structural plane and the slope structural plane set according to the slope terrain model, the actual slope structural plane information and the structural plane cause mechanism specifically comprises the steps of:
acquiring actual slope structural plane information manually measured on site by using a line measuring method and a window measuring method;
extracting the surface structure surface information of the slope terrain model by using a Qinghuashan Wei EPS geographical information workstation based on the constructed slope terrain model;
determining the distribution characteristics of the structural surface of the slope rock mass according to the actual slope structural surface information and the surface structural surface information of the slope terrain model;
and classifying the distribution characteristics of the structural plane of the slope rock mass according to a structural plane cause mechanism to obtain a slope structural plane set.
5. The method for determining the three-dimensional network model of the rock mass structural plane according to claim 1, wherein the rock loading experiment is used for simulating the influence of the tectonic stress at each stage in the geological history period on the slope rock mass to obtain the development characteristics of the surface layer and the internal structural plane of the slope rock mass in different stress directions with different stress magnitudes;
the corrected slope section numerical model is used for simulating a slope undercut process until the current form, analyzing the formation and change of a secondary structural surface caused by slope stress condition adjustment, and further extracting the geometric characteristics of the secondary structural surface.
6. The method for determining the three-dimensional network model of the rock mass structural plane according to claim 1, wherein the step of combining the slope terrain model with the spatial development law corresponding to each slope structural plane to obtain the three-dimensional network model of the slope rock mass structural plane specifically comprises the following steps:
determining three-dimensional distribution information of the primary structural surface in the slope according to the corresponding space development rule of the primary structural surface and the distribution characteristics of the primary structural surface of the slope rock mass;
determining three-dimensional spread information of the structural surface in the slope according to a spatial development rule corresponding to the structural surface;
determining three-dimensional spread information of the secondary structural surface in the slope according to a space development rule corresponding to the secondary structural surface;
and superposing the three-dimensional spread information of the primary structural surface in the slope, the three-dimensional spread information of the structural surface in the slope and the three-dimensional spread information of the secondary structural surface in the slope on the slope terrain model to obtain the slope rock structural surface three-dimensional network model.
7. A rock mass structural plane three-dimensional network model determining device is characterized by comprising:
the slope terrain model building module is used for obtaining slope terrain information and slope surface layer structural plane information and building a slope terrain model according to the slope terrain information and the slope surface layer structural plane information;
the slope characteristic and slope structural surface set determining module is used for acquiring actual slope structural surface information of field manual measurement and determining a slope rock structural surface distribution characteristic and a slope structural surface set according to the slope terrain model, the actual slope structural surface information and a structural surface cause mechanism; the slope rock mass structural plane distribution characteristics comprise a slope rock mass primary structural plane distribution characteristic, a slope rock mass structural plane distribution characteristic and a slope rock mass secondary structural plane distribution characteristic, and the slope structural plane set comprises a plurality of slope structural planes which are respectively a primary structural plane, a structural plane and a secondary structural plane;
the spatial development law determining module is used for determining a spatial development law corresponding to each slope structural surface according to the distribution characteristics of the slope rock structural surface;
the slope rock mass structural plane three-dimensional network model building module is used for combining the slope terrain model and the space development rule corresponding to each slope structural plane to obtain a slope rock mass structural plane three-dimensional network model;
according to the distribution characteristics of the structural surface of the slope rock mass, determining a spatial development rule corresponding to each slope structural surface, specifically comprising:
when the slope structural surface is a primary structural surface, performing geometric characteristic analysis on each element of the primary structural surface formed in the diagenetic process of the slope rock mass according to the distribution characteristics of the primary structural surface of the slope rock mass and slope geological background data, determining the probability distribution of each element of the primary structural surface according to the geometric characteristic analysis result of each element of the primary structural surface, and then obtaining a spatial development rule corresponding to the primary structural surface according to the probability distribution of each element of the primary structural surface; each element of the primary structural surface comprises structural surface attitude, trace length, density and position;
when the slope structural surface is a structural surface, performing a rock loading experiment on rocks collected on the slope site under different stress conditions to obtain the development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions, correcting the development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions by using the distribution characteristics of the structural surface of the slope rock body, determining the probability distribution of each element of the structural surface by using the corrected development characteristics of the surface layer and the internal structural surface of the slope rock body under different stress conditions, and determining the spatial development rule corresponding to the structural surface according to the probability distribution of each element of the structural surface; each element of the structural surface comprises structural surface appearance, trace length, density and position;
when the slope structural surface is a secondary structural surface, extracting a slope section numerical model according to a slope terrain model, correcting the slope section numerical model according to the distribution characteristics of the slope rock mass secondary structural surface, then obtaining the geometric characteristics of the secondary structural surface according to the corrected slope section numerical model, then determining the probability distribution of each element of the secondary structural surface according to the geometric characteristics of the secondary structural surface, and further determining the spatial development rule corresponding to the secondary structural surface according to the probability distribution of each element of the secondary structural surface; and each element of the secondary structural surface comprises structural surface occurrence, trace length, density and position.
8. An electronic device, characterized by comprising a memory for storing a computer program and a processor for executing the computer program to cause the electronic device to perform the rock mass structural plane three-dimensional network model determination method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements a method of determining a three-dimensional network model of a rock mass structural plane as defined in any one of claims 1 to 6.
CN202211408586.6A 2022-11-11 2022-11-11 Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane Active CN115457229B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211408586.6A CN115457229B (en) 2022-11-11 2022-11-11 Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211408586.6A CN115457229B (en) 2022-11-11 2022-11-11 Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane

Publications (2)

Publication Number Publication Date
CN115457229A CN115457229A (en) 2022-12-09
CN115457229B true CN115457229B (en) 2023-03-24

Family

ID=84295729

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211408586.6A Active CN115457229B (en) 2022-11-11 2022-11-11 Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane

Country Status (1)

Country Link
CN (1) CN115457229B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112862967A (en) * 2021-03-11 2021-05-28 北京市水利规划设计研究院 Method and apparatus for building three-dimensional geological models
CN114969861A (en) * 2022-06-23 2022-08-30 中国电建集团华东勘测设计研究院有限公司 Method for finely identifying large-scale rock mass structure and acquiring size effect parameters

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101936008B (en) * 2010-09-30 2011-12-07 东北大学 Rock slope three-dimensional model and block slide analysis method
CN108489402B (en) * 2018-06-08 2020-09-15 宁波大学 Rapid and fine dereferencing method for surface mine slope rock mass joint scale based on three-dimensional laser scanning
CN109117586B (en) * 2018-09-06 2023-03-31 四川省地质矿产勘查开发局成都水文地质工程地质队 Bedding rock slope three-dimensional geological model building and stability evaluation method
CN110288700A (en) * 2019-06-26 2019-09-27 东北大学 A kind of slope structure face of rock quality is grouped automatically and displacement prediction method
CN111161252B (en) * 2019-12-31 2022-03-25 山东大学 Rock mass structure detection and dangerous stone detection system and method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112862967A (en) * 2021-03-11 2021-05-28 北京市水利规划设计研究院 Method and apparatus for building three-dimensional geological models
CN114969861A (en) * 2022-06-23 2022-08-30 中国电建集团华东勘测设计研究院有限公司 Method for finely identifying large-scale rock mass structure and acquiring size effect parameters

Also Published As

Publication number Publication date
CN115457229A (en) 2022-12-09

Similar Documents

Publication Publication Date Title
Salvini et al. The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling
Guo et al. Generation and verification of three-dimensional network of fractured rock masses stochastic discontinuities based on digitalization
Francioni et al. An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy: Slope stability assessment through kinematic and numerical methods
CN103339627B (en) Assessment surface data
CN107402176B (en) method and device for determining porosity of crack
CN105279790A (en) Fracture network 3D digital core modeling method
Herrero et al. 3D model generated from UAV photogrammetry and semi-automated rock mass characterization
Bruna et al. A new methodology to train fracture network simulation using multiple-point statistics
CN111415413B (en) Training image establishment method based on open-air outcrop three-dimensional model
CN113536659B (en) Method, system and storage medium for rapidly predicting post-earthquake road disaster area
Liu et al. Intelligent scanning for optimal rock discontinuity sets considering multiple parameters based on manifold learning combined with UAV photogrammetry
CN110827405A (en) Digital remote sensing geological mapping method and system
CN111539100B (en) Generation method, device, equipment and storage medium of well site virtual construction model
Liu et al. A new iteration clustering method for rock discontinuity sets considering discontinuity trace lengths and orientations
Haneberg Effects of digital elevation model errors on spatially distributed seismic slope stability calculations: an example from Seattle, Washington
Chen et al. A critical review of automated extraction of rock mass parameters using 3D point cloud data
Smith et al. Rock slope kinematic instability controlled by large-scale variation of basalt column orientation
CN115457229B (en) Method, device, equipment and medium for determining three-dimensional network model of rock mass structural plane
Han et al. Deep learning–based stochastic modelling and uncertainty analysis of fault networks
Chand et al. Internal Mine Dump Slope Stability and Failure Zone Identification using 3D Modelling
Zheng et al. Accuracy comparison of rock discontinuity geometric parameters in photogrammetry based on two georeferencing methods: Control points and geotagged photos
CN116822285A (en) Estimation method, device, equipment and storage medium for slope instability scale
Liu et al. Evaluation of the performance of DEM interpolation algorithms for LiDAR data
CN115019006A (en) Multi-scale three-dimensional engineering geological model construction system and method
Zhang et al. 3D Visualization of Landslide Based on Close-Range Photogrammetry.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant