CN104036538B - Soil-rock mixture three-dimensional microscopical structure is rebuild and analysis method and system - Google Patents

Abstract

The present invention proposes a method and system for reconstruction and analysis of a three-dimensional mesoscopic structure of a soil-rock mixture, the method comprising: preparing a soil-rock mixture sample; performing CT scanning on the soil-rock mixture sample to obtain a CT tomographic image of the soil-rock mixture sample Sequence; Obtain the block section area in each CT tomographic image in the CT tomographic image sequence, and segment the block section area to obtain multiple independent block stone sections; The independent block section is registered, and the three-dimensional mesoscopic structure model of the block is generated according to the registration result; the three-dimensional mesoscopic structure model of the block is analyzed to determine the stone content, particle size distribution, Block spatial distribution, block geometry and block shape characteristics. According to the embodiment of the present invention, the three-dimensional mesoscopic structural model can be conveniently generated, and has the advantages of accurate and reliable analysis results of the soil-rock mixture, and can also be directly used for numerical calculation and analysis.

Description

Method and system for reconstruction and analysis of 3D mesoscopic structure of soil-rock mixture

technical field

The invention relates to the technical field of rock-soil medium analysis, in particular to a method and system for reconstructing and analyzing a three-dimensional mesoscopic structure of an earth-rock mixture.

Background technique

Soil-rock mixture is a kind of complex rock-soil medium that widely exists in nature, and it is also a kind of geological body that is often encountered in geological engineering and geotechnical engineering. Due to the existence of super-diameter boulders inside the soil-rock mixture, its physical and mechanical properties are difficult to obtain through traditional indoor or field tests. The research on the physical and mechanical properties of soil-rock mixtures has always been a difficult problem in the field of geotechnical engineering.

With the development of numerical calculation technology, numerical experiments provide new technical support for the study of physical and mechanical properties of soil-rock mixtures and reveal the deformation and fracture mechanism of such rock-soil masses. When carrying out numerical test research on soil-rock mixture, establishing a calculation and analysis model consistent with physical and mechanical tests is an important basis for ensuring the reliability of numerical calculations. However, at present, in terms of generating the three-dimensional mesostructure model of soil-rock mixture, the basic method is to simplify the block rocks into simple geometric shapes such as spheres and convex polyhedrons, and then use the method of computer random generation to generate the corresponding mesostructure model. This method is difficult to ensure the consistency between the established model and the physical test model, which makes it difficult to compare the calculation and analysis results with the physical test, and the reference value is not high.

Contents of the invention

The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

Therefore, the first object of the present invention is to propose a method for reconstruction and analysis of the three-dimensional mesoscopic structure of soil-rock mixture. This method can conveniently generate a three-dimensional mesostructure model of soil-rock mixture, and can be directly used in the analysis of mesostructure of soil-rock mixture, which has the advantage of accurate and reliable analysis results.

The second object of the present invention is to propose a three-dimensional mesoscopic structure reconstruction and analysis system of soil-rock mixture.

In order to achieve the above object, the embodiment of the first aspect of the present invention discloses a three-dimensional mesostructure reconstruction and analysis method of soil-rock mixture, comprising the following steps: preparing a sample of soil-rock mixture; CT scan to obtain the CT tomographic image sequence of the soil-rock mixture sample; obtain the block section area in each CT tomographic image in the CT tomographic image sequence, and segment the block section area to obtain A plurality of independent block stone sections; registering the multiple independent block stone sections in each CT tomographic image, and generating a three-dimensional mesoscopic structure model of the block stone according to the registration result; and The three-dimensional mesoscopic structure model of rocks is analyzed to determine the rock content, particle size distribution, spatial distribution of rocks, geometrical characteristics of rocks and morphological characteristics of rocks in the soil-rock mixture sample.

In addition, the method for reconstructing and analyzing the three-dimensional mesoscopic structure of soil-rock mixture according to the above-mentioned embodiments of the present invention may also have the following additional technical features:

In some examples, the soil-rock mixture sample is prepared by a plexiglass sample cylinder, and the soil-rock mixture sample is scanned by a CT scanner.

In some examples, the acquiring the block section area in each CT tomographic image in the CT tomographic image sequence, and segmenting the block section area to obtain multiple independent block section sections further includes: Perform filtering and denoising on each CT tomographic image in the CT tomographic image sequence; perform binarization processing on each CT tomographic image after filtering and denoising to determine the block section area and soil area; and the image morphology operation of expansion to segment the section area of the block to obtain multiple independent sections of the block.

In some examples, the registration of multiple independent block sections in each CT tomographic image, and generating a three-dimensional mesoscopic structure model of the block according to the registration results further includes: Identify and number the boundaries of all block sections on the CT tomogram, and calculate the geometric feature index of each block section; register the boundaries of all block sections on the CT tomogram to obtain the registration result ; Generate a three-dimensional mesoscopic structure model of the block according to the geometric feature index of the block section and the registration result.

In some examples, analyzing the three-dimensional mesoscopic structure model of the block to determine the rock content, particle size distribution, spatial distribution of the block, geometric properties of the block, and morphological properties of the block, further comprising : Render and display the three-dimensional mesoscopic structure model of the block, so as to determine the rock content, particle size distribution, spatial distribution of the block, block geometry and block shape of the soil-rock mixture sample according to the rendering and display results characteristic.

The embodiment of the second aspect of the present invention discloses a three-dimensional mesostructure reconstruction and analysis system of soil-rock mixture, including: a soil-rock mixture sample preparation device for preparing soil-rock mixture samples; a CT tomographic image scanning device, It is used to perform CT scanning on the soil-rock mixture sample to obtain a CT tomographic image sequence of the soil-rock mixture sample; a three-dimensional model reconstruction module is used to obtain each CT tomographic image in the CT tomographic image sequence block section area, and segment the block section area to obtain multiple independent block section sections, and register the multiple independent block section sections in each CT tomographic image, and A three-dimensional mesoscopic structure model of the block is generated according to the registration result; and a statistical analysis module of the three-dimensional mesostructure information is used to analyze the three-dimensional mesostructure model of the block to determine the content of the soil-rock mixture sample Stone quantity, particle size distribution, block spatial distribution, block geometric characteristics and block shape characteristics.

In addition, the three-dimensional mesoscopic structure reconstruction and analysis system of soil-rock mixture according to the above-mentioned embodiments of the present invention may also have the following additional technical features:

In some examples, the soil-rock mixture sample preparation device is a plexiglass sample cylinder, and the CT tomographic image scanning device is a CT scanner.

In some examples, the three-dimensional model reconstruction module is configured to: perform filtering and denoising on each CT tomographic image in the CT tomographic image sequence; perform binarization processing on each CT tomographic image after filtering and denoising To determine the block section area and soil area; segment the block section area through image morphology operations of erosion and expansion to obtain multiple independent block section areas.

In some examples, the three-dimensional model reconstruction module is also used to: sequentially identify and number the boundaries of all block sections on each CT tomographic image, and calculate the geometric feature index of each block section; The boundary of the block section on the CT tomographic image is registered to obtain the registration result; a three-dimensional mesoscopic structure model of the block is generated according to the geometric feature index of the block section and the registration result.

In some examples, it also includes: a three-dimensional display computer device for rendering and displaying the three-dimensional mesoscopic structure model of the block stone.

According to the embodiment of the present invention, the corresponding three-dimensional structural model can be conveniently established according to the soil-rock mixture sample, and the characteristics such as the particle size composition and shape of the rock inside the sample can be quantitatively analyzed, and the three-dimensional visual display and display of the model can be realized at the same time. Storage, providing support for physical and mechanical numerical tests of soil-rock mixtures.

Compared with the existing methods, the embodiment of the present invention can realize the three-dimensional structure of the soil-rock mixture without destroying the sample by using CT tomographic images of the soil-rock mixture when modeling the three-dimensional mesoscopic structure of the soil-rock mixture. The mesostructure model is reconstructed, and the scanned samples can continue to be studied in the physical and mechanical experiments in the laboratory. According to the reconstructed soil-rock mixture sample model, statistical analysis can be carried out on the geometric characteristics, particle size composition, spatial distribution and other information of the internal block stones, and query operations such as rendering and sectioning can be performed on the model. At the same time, the reconstructed model can be directly stored in a common data format for numerical experiment research. The embodiment of the present invention greatly improves the degree of refinement of the generated model, and establishes a bridge link between the numerical test and the physical-mechanical test, so that the numerical test research of physical-mechanical properties carried out on this basis is more reasonable and reliable.

Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Description of drawings

Fig. 1 is the structural diagram of the plexiglass sample cylinder in one embodiment of the present invention;

Figure 2 is a schematic diagram of a CT scanner in one embodiment of the present invention;

Fig. 3 is a flow chart of the block-stone segmentation of the three-dimensional mesoscopic structure reconstruction and analysis method of soil-rock mixture according to an embodiment of the present invention;

Fig. 4 is a flow chart of generating a three-dimensional mesoscopic structure model of a rock in a method for reconstructing and analyzing a three-dimensional mesoscopic structure of a soil-rock mixture according to an embodiment of the present invention;

Fig. 5 is a structural diagram of a three-dimensional reconstruction system of complex rock-soil medium mesostructure in an embodiment of the present invention;

Fig. 6 is a flow chart of a method for reconstructing and analyzing a three-dimensional mesoscopic structure of a soil-rock mixture according to an embodiment of the present invention; and

Fig. 7 is a structural diagram of a three-dimensional mesostructure reconstruction and analysis system for soil-rock mixtures according to an embodiment of the present invention.

detailed description

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Of course, they are only examples and are not intended to limit the invention. Furthermore, the present invention may repeat reference numerals and/or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and/or arrangements discussed. In addition, various specific examples of processes and materials are provided herein, but one of ordinary skill in the art will recognize the applicability of other processes and/or the use of other materials. Additionally, configurations described below in which a first feature is "on" a second feature may include embodiments where the first and second features are formed in direct contact, and may include additional features formed between the first and second features. For example, such that the first and second features may not be in direct contact.

In the description of the present invention, it should be noted that unless otherwise specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, or it can be two The internal communication of each element may be directly connected or indirectly connected through an intermediary. Those skilled in the art can understand the specific meanings of the above terms according to specific situations.

The method and system for three-dimensional mesoscopic structure reconstruction and analysis of soil-rock mixture according to the embodiment of the present invention will be described below with reference to the accompanying drawings.

This method is applied to the modeling and analysis of 3D mesostructure of soil-rock mixture, including:

The CT three-dimensional scanning step of the soil-rock mixture sample uses a CT scanner to scan the soil-rock mixture sample to obtain a CT tomographic sequence image (ie, a CT tomographic image sequence) of the soil-rock mixture sample; the CT tomographic image preprocessing step adopts Digital image processing technology processes the obtained CT cross-sectional image of the soil-rock mixture, uses threshold segmentation technology to distinguish the rock from the surrounding soil, and uses edge detection technology to obtain the boundary point information of each rock section in the CT tomographic image , and mark it in blocks; the internal block rock registration step of the soil-rock mixture is to carry out the boundary information of each block block marked in blocks in the obtained adjacent CT tomographic slices according to its morphological characteristics and spatial position. Matching and identification to obtain the boundary of the block section on all CT slices that constitute each block; the step of reconstruction of the 3D model of the block is to construct a triangular mesh representing the surface of each block according to the information of the section of the block after matching, and establish a soil-rock The three-dimensional model of all the blocks inside the mixture sample; the step of statistical analysis of block geometry, based on the reconstructed internal block model of the soil-rock mixture, statistical analysis of the geometric characteristics, particle size composition, spatial distribution and other information of the blocks ; The 3D mesoscopic structure visualization and output steps of the soil-rock mixture, the reconstructed 3D mesoscopic structure model is used to color and render the rocks according to the particle size of the rocks, allowing users to perform query operations such as rotation and slicing. The output is a common data format for numerical calculations.

Specifically, FIG. 6 is a flowchart of a method for reconstructing and analyzing a three-dimensional mesostructure of a soil-rock mixture according to an embodiment of the present invention.

As shown in Fig. 6, the reconstruction and analysis method for the three-dimensional mesoscopic structure of soil-rock mixture according to an embodiment of the present invention includes the following steps:

Step S601: Prepare soil-rock mixture samples. For example, the soil-rock mixture sample can be prepared through a plexiglass sample cylinder.

Step S602: Perform CT scanning on the soil-rock mixture sample to obtain a CT tomographic image sequence of the soil-rock mixture sample. For example, a soil-rock mixture sample is scanned by but not limited to a CT scanner.

Step S603: Obtain the section area of the block in each CT tomographic image in the CT tomographic image sequence, and segment the section area of the block to obtain multiple independent sections of the block.

Specifically, firstly, filter and denoise each CT tomographic image in the CT tomographic image sequence, and then perform binarization processing on each CT tomographic image after filtering and denoising to determine the section area of the rock and soil Finally, the block section area can be segmented by image morphology operations of erosion and expansion to obtain multiple independent block sections.

Step S604: Register multiple independent block sections in each CT tomographic image, and generate a three-dimensional mesoscopic structural model of the block according to the registration results.

As a specific example, for example: sequentially identify and number the boundaries of all block sections on each CT tomographic image, and calculate the geometric feature index of each block section, and calculate the block on all CT tomographic images The boundary of the stone section is registered to obtain the registration result, and finally a three-dimensional mesoscopic structural model of the block can be generated according to the geometric feature index of the block section and the registration result.

Step S605: Analyzing the three-dimensional mesoscopic structure model of the rock to determine the rock content, particle size distribution, spatial distribution of the rock, geometric characteristics of the rock, and morphological characteristics of the rock.

Specifically, firstly, the three-dimensional mesoscopic structural model of the block can be rendered and displayed. In this way, the rock content, particle size distribution, spatial distribution of the block, and block geometry of the soil-rock mixture sample can be determined according to the rendering and display results. characteristics and morphological characteristics of stones, etc.

The method of the embodiment of the present invention will be described in more detail below with reference to the accompanying drawings 1-5.

As shown in FIG. 1 , the plexiglass sample preparation cylinder 40 (hereinafter referred to as the sample preparation cylinder) mainly includes a sample cap 1 , a split side cylinder 2 , and a chassis 3 . Annular reinforcing ribs 4 are arranged along the height direction of the split side cylinder 2, and the nut holes 5 on both wings of the split side cylinder 2 are used for fixing the split side cylinder 2 during sample preparation and for split side cylinder 2 before starting the test after scanning demolition. The valve 6 on the sample cap 1 communicates with the sample through the vent hole in the sample cap 1, and is used to control the vacuuming operation during the sample preparation process. Groove 7 is used to place and fix the loading device in the test. The sample cap 1 and the chassis 3 are provided with a rubber band groove 8, which is used for binding and fixing the rubber film during the sample preparation process. The nut holes 9 on the bottom of the split side cylinder 2 and the chassis 3 are used to fix the two together and jointly carry the weight of the sample.

In this implementation, after installing and fixing the chassis 3, the rubber film, and the split side cylinder 2, the soil-rock mixture is loaded into the sample preparation cylinder 40 in layers, and compacted in layers to the required compactness, and the sample ( That is, the soil-rock mixture sample) is filled and the sample cap 1 is installed. After vacuuming, the CT scan of the sample is carried out together with the plexiglass sample preparation cylinder 40. After the scanning is completed, the split side cylinder 2 is removed to install the sample in the test Test on the instrument.

As shown in FIG. 2 , the CT scanner mainly includes a scanning frame 10 , a scanning bed 11 , a computer system 12 , and a CT machine control panel 13 . Wherein the computer system 12 and the CT machine control panel 13 are the control centers for performing scanning operations and data processing and storage, and the scanning frame 10 is equipped with X-ray tubes, line filters, collimators, detectors, etc. Transmitting and receiving, the scanning bed 11 is a tool for carrying the scanning sample, and can move vertically and horizontally according to control requirements.

In this implementation, the soil-rock mixture sample 14 is placed flat on the scanning bed 11 together with the plexiglass sample cylinder 40, the axial direction of the sample 14 is consistent with the horizontal and vertical movement direction of the scanning bed 11, and the height of the scanning bed 11 is adjusted. After adjusting the center of the cross-section of the soil-rock mixture sample to coincide with the center of the cross centerline emitted by the scanning frame 10, push the scanning bed 11 horizontally to the scanning frame 10, so that the front end of the sample 14 is just located in the plane where the scanning frame ball tube is located. The position is zeroed to mark the start of the scan.

The scanning record is established by the computer system 12, parameters such as the type of the scanning object, the emission energy of the tube X-ray, and the distance between CT slices are set, and the scanning range is selected, and then the CT machine is started through the CT machine control panel 13 to complete the scan and obtain The CT slice sequence images (ie, CT tomographic image sequence) can be saved to an external storage device.

As shown in Figure 3, the process of block stone segmentation is as follows:

Step S10, importing the data of the CT slice sequence image of the soil-rock mixture sample obtained by the above-mentioned CT scanning, and storing it in the database.

Step S11, perform batch filtering and denoising processing on the scanned two-dimensional CT slice sequence images, adjust the filter template to an appropriate size, and remove part of the noise in the two-dimensional slice images by mean filtering or median filtering, etc. Smoothes the image.

Step S12, analyze the grayscale histogram of the two-dimensional slice image after the preliminary filtering process, determine the grayscale threshold value for distinguishing "soil" and "block stone", and perform batch binary value on the two-dimensional CT slice sequence image according to the requirements (the rock is the research object, and the soil and the pores are the background), of course, the embodiments of the present invention are not limited thereto, for example, the ternary processing (that is: the rock and the hole are two research objects, and the soil body as the background).

Step S13, using a combination of simple image morphology operations such as erosion and expansion to perform batch segmentation on the binarized two-dimensional CT slice sequence images, so as to separate two or more independent stone sections that are in contact with each other, and form subsequent blocks The identification, registration and 3D reconstruction of the boundary of the stone section provide the basis.

As shown in Figure 4, the three-dimensional mesoscopic structure model of block stone can be generated in the following ways:

Step S20, importing the CT tomographic image sequence (ie, the two-dimensional CT slice sequence image of the soil-rock mixture) after segmenting the section of the rock.

Step S21, sequentially identify and number all block section boundaries on each CT slice image, calculate their perimeter, area, centroid coordinates and other geometric feature indicators, and store them in the two-dimensional block section boundary information database middle.

Step S22, select the CT slice image of the top surface (or bottom surface) of the soil-rock mixture sample as the initial reference image, and sequentially (or reversely) compare all the boundaries of all rock sections on all two-dimensional CT slice sequence images with the previous one Baseline CT images for boundary registration. According to the principle of morphological similarity, the cross-sectional boundaries of the same block on two adjacent slices have similar geometric feature indicators, and traverse the i-th sheet (1<i≤n, n is a two-dimensional CT sequence of a soil-rock mixture sample The total number of slice images in) all block section boundaries on the CT slice image, and detect the block section boundary that is registered with the jth block section boundary S _{i-1, j} on the i-1th CT slice image S _{i, k} , and give them the same block number, and store the obtained three-dimensional block boundary data in the three-dimensional block information database. For the situation that the old block boundary disappears and the new block boundary appears in a certain slice image, the overall block number and database information are updated in time.

Step S23, using the two-dimensional cross-section boundary information database obtained in step S21 and the three-dimensional block boundary data stored in the three-dimensional block information database obtained in step S22, to construct the triangular mesh on the surface of each block to realize the soil-rock mixture test. The 3D reconstruction of the internal rocks of the sample can be used to obtain a 3D model that can reflect the mesoscopic structure of the soil-rock mixture.

Step S24, saving and outputting the established three-dimensional model of the soil-rock mixture sample as a picture or a common data format. By saving the block model in the 3D reconstructed soil-rock mixture sample as a general data format such as *.stl or *.gts, a numerical model can be generated for simulation calculation and compared with the physical test results of the corresponding sample. It is convenient to use other CAD, CAM and other software to view and display.

As shown in Fig. 5, it is a three-dimensional reconstruction system 30 of complex rock-soil medium mesostructure in an embodiment of the present invention, mainly composed of a three-dimensional model reconstruction module 31, a three-dimensional mesostructure information statistical analysis module 32 and a three-dimensional sample visualization module 33 Partial composition. The system is mainly implemented in a computer device 15 comprising a memory 16, a processor 17, an input device 18 and an output device 19 connected by a data bus.

The three-dimensional model reconstruction module 31 includes functions such as image preprocessing, block section boundary identification and registration, three-dimensional block surface reconstruction, and model output. The method preprocesses and matches the boundaries of block and rock sections between slices, and finally realizes the 3D reconstruction of the block model inside the soil-rock mixture, and outputs the 3D mesostructure model in a common data format for numerical calculation.

The three-dimensional mesostructure information statistical analysis module 32 is used for performing statistical analysis on the mesostructure information of the soil-rock mixture three-dimensional reconstruction sample. According to the three-dimensional reconstruction boundary of the block stone inside the sample, calculate the geometric characteristic indexes such as triaxial size, slenderness ratio, surface area, volume, etc. Arrange the characteristics and store them in the three-dimensional block stone information database. Based on this, the structural information such as stone content, particle size distribution composition and spatial distribution of the soil-rock mixture are counted.

The three-dimensional sample visualization module 33 is used for visually displaying the reconstructed three-dimensional model of the soil-rock mixture sample. According to the 3D reconstruction data of the internal blocks of the sample, the 3D visualization technology is used to realize the rendering and display of the 3D model and the model section plane, and the viewing of the internal structure section plane of the 3D model and the geometric characteristics of the internal block stones can be realized through human-computer interaction. Real-time query of morphological property information.

According to the method of the embodiment of the present invention, the corresponding three-dimensional structure model can be conveniently established according to the soil-rock mixture sample, and the characteristics such as the particle size composition and shape of the block stone inside the sample can be quantitatively analyzed, and the three-dimensional visual display of the model can be realized at the same time and storage, providing support for physical and mechanical numerical tests of soil-rock mixtures.

Compared with the existing methods, the method of the present invention can realize the three-dimensional detailed structure of the soil-rock mixture by using CT tomographic images of the soil-rock mixture when modeling the three-dimensional mesoscopic structure of the soil-rock mixture without destroying the sample. The structural model is reconstructed, and the scanned samples can continue to be studied in the physical and mechanical experiments in the laboratory. According to the reconstructed soil-rock mixture sample model, statistical analysis can be carried out on the geometric characteristics, particle size composition, spatial distribution and other information of the internal block stones, and query operations such as rendering and sectioning can be performed on the model. At the same time, the reconstructed model can be directly stored in a common data format for numerical experiment research. The method of the invention greatly improves the refinement degree of the generated model, and establishes a bridge link between the numerical test and the physical-mechanical test, thereby making the numerical test research of physical-mechanical properties carried out on this basis more reasonable and reliable.

A further embodiment of the present invention provides a three-dimensional mesoscopic structure reconstruction and analysis system of soil-rock mixture. As shown in Figure 7, in conjunction with Figures 1, 2 and 5, the system 700 includes: a soil-rock mixture sample preparation device 40 (such as a plexiglass sample cylinder), a CT tomographic image scanning device 50 (such as a CT scanner), a three-dimensional Model reconstruction module 31 and three-dimensional mesostructure information statistical analysis module 32.

Wherein, the earth-rock mixture sample preparation device 40 is used for preparing the earth-rock mixture sample. The CT tomographic image scanning device 50 is used to scan the soil-rock mixture sample to obtain a CT tomographic image sequence of the soil-rock mixture sample. The three-dimensional model reconstruction module 31 is used to obtain the block section area in each CT tomogram in the CT tomogram sequence, and segment the block section area to obtain multiple independent block sections, and A plurality of independent block sections in each CT tomographic image are registered, and a three-dimensional mesoscopic structure model of the block is generated according to the registration result. The three-dimensional mesostructure information statistical analysis module 32 is used to analyze the three-dimensional mesostructure model of the block to determine the stone content, particle size distribution, spatial distribution of the block, geometric characteristics of the block and block size of the soil-rock mixture sample. stone morphological properties.

Further, the three-dimensional model reconstruction module 31 is configured to: perform filtering and denoising on each CT tomographic image in the CT tomographic image sequence; perform binarization processing on each CT tomographic image after filtering and denoising to determine the The block section area and the soil area; the block section area is segmented by image morphology operation of erosion and expansion to obtain multiple independent block sections.

In addition, the three-dimensional model reconstruction module 31 is also used to: sequentially identify and number the boundaries of all block sections on each CT tomographic image, and calculate the geometric feature index of each block section; The boundary of the block is registered to obtain the registration result; a three-dimensional mesoscopic structure model of the block is generated according to the geometric feature index of the section of the block and the registration result.

In combination with what is shown in FIG. 5 , it also includes: a three-dimensional display computer device 33 (ie, a three-dimensional sample visualization module), which is used to render and display the three-dimensional mesoscopic structure model of the block stone.

It should be noted that, the specific implementation manner of the system in the embodiment of the present invention is similar to the specific implementation manner of the method part, and will not be repeated in order to reduce redundancy.

According to the system of the embodiment of the present invention, the corresponding three-dimensional structure model can be conveniently established according to the soil-rock mixture sample, and the particle size composition, shape and other characteristics of the block stone inside the sample can be quantitatively analyzed, and the three-dimensional visual display of the model can be realized at the same time and storage, providing support for physical and mechanical numerical tests of soil-rock mixtures.

Compared with the existing methods, the system of the present invention can use the CT tomographic sequence images of the soil-rock mixture when modeling the three-dimensional mesoscopic structure of the soil-rock mixture to realize the three-dimensional detailed structure of the soil-rock mixture without destroying the sample. The structural model is reconstructed, and the scanned samples can continue to be studied in the physical and mechanical experiments in the laboratory. According to the reconstructed soil-rock mixture sample model, statistical analysis can be carried out on the geometric characteristics, particle size composition, spatial distribution and other information of the internal block stones, and query operations such as rendering and sectioning can be performed on the model. At the same time, the reconstructed model can be directly stored in a common data format for numerical experiment research. The system of the present invention greatly improves the degree of refinement of the generated model, and establishes a bridge between the numerical test and the physical-mechanical test, so that the numerical test research of physical-mechanical properties carried out on this basis is more reasonable and reliable.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the described specific features, structures, materials or characteristics may be combined in any suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine different embodiments or examples and features of different embodiments or examples described in this specification without conflicting with each other.

Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention, those skilled in the art can make the above-mentioned The embodiments are subject to changes, modifications, substitutions and variations.

Claims (8)

1. a kind of soil-rock mixture three-dimensional microscopical structure is rebuild and analysis method, it is characterised in that comprise the following steps：

Prepare soil-rock mixture sample；

CT scan is carried out to the soil-rock mixture sample to obtain the CT tomographic sequences of the soil-rock mixture sample；

The block stone cross sectional area in each CT faultage image in the CT tomographic sequences is obtained, and to described piece of stone section Split to obtain multiple independent block stone sections in region；

Multiple independent block stone section in each CT faultage image carries out registration, and generates block according to registration result The three-dimensional microscopical structure model of stone, further includes：

The border of all pieces of stone sections on each CT faultage image is identified successively with numbering, and calculate each block stone The geometric properties index of section；

Border to the block stone section on all CT faultage images carries out registration to obtain the registration result, the step of the registration Suddenly include：Each block stone section boundary information for the piecemeal mark in the section of adjacent C T faultage images that will be obtained, according to its shape Step response and locus carry out match cognization, obtain constituting the block stone section border in all CT sections of each block stone；

Geometric properties index and the registration result according to described piece of stone section generate the three-dimensional microscopical structure model of block stone, raw The step of into the three-dimensional microscopical structure model, includes：According to the block stone section information after matching, build and characterize each block stone table The triangle gridding in face, sets up all pieces of threedimensional models of stone in soil-rock mixture sample inside；

And

Three-dimensional microscopical structure model to described block of stone is analyzed to determine rock-soil ratio, the granularity of the soil-rock mixture sample Distribution, block stone spatial distribution, block stone geometrical property and block stone morphological character.

2. method according to claim 1, it is characterised in that wherein, the native stone is prepared by lucite sample preparation cylinder Mixture sample, is scanned by CT Scanner to the soil-rock mixture sample.

3. method according to claim 1, it is characterised in that each CT tomography in the acquisition CT tomographic sequences Block stone cross sectional area in image, and described piece of stone cross sectional area is split to obtain multiple independent block stone sections, enter One step includes：

Denoising is filtered to each CT faultage image in the CT tomographic sequences；

Each CT faultage image after to filtering and noise reduction carries out binary conversion treatment to determine described piece of stone cross sectional area and the soil body Region；

Described piece of stone cross sectional area is split by the morphological image computing corroded and expand multiple independent to obtain Block stone section.

4. the method according to claim any one of 1-3, it is characterised in that the three-dimensional microscopical structure model to block stone It is analyzed to determine rock-soil ratio, size distribution, block stone spatial distribution, block stone geometrical property and the block stone of soil-rock mixture sample Morphological character, further includes：

The three-dimensional microscopical structure model of block stone is rendered and shown, is rendered and shown that result determines that the native stone is mixed with basis The rock-soil ratio of fit sample, size distribution, block stone spatial distribution, block stone geometrical property and block stone morphological character.

5. a kind of soil-rock mixture three-dimensional microscopical structure is rebuild and analysis system, it is characterised in that including：

Soil-rock mixture sample preparation device, for preparing soil-rock mixture sample；

CT faultage image scanning means, for carrying out CT scan to obtain the soil-rock mixture to the soil-rock mixture sample The CT tomographic sequences of sample；

Reconstructing three-dimensional model module, for obtaining the block stone section in the CT tomographic sequences in each CT faultage image Region, and described piece of stone cross sectional area is split to obtain multiple independent block stone sections, the reconstructing three-dimensional model mould Block is additionally operable to：

The border of all pieces of stone sections on each CT faultage image is identified successively with numbering, and calculate each block stone The geometric properties index of section；

Border to the block stone section on all CT faultage images carries out registration to obtain the registration result, the step of the registration Suddenly include：Each block stone section boundary information for the piecemeal mark in the section of adjacent C T faultage images that will be obtained, according to its shape Step response and locus carry out match cognization, obtain constituting the block stone section border in all CT sections of each block stone；

Geometric properties index and the registration result according to described piece of stone section generate the three-dimensional microscopical structure model of block stone, raw The step of into the three-dimensional microscopical structure model, includes：According to the block stone section information after matching, build and characterize each block stone table The triangle gridding in face, sets up all pieces of threedimensional models of stone in soil-rock mixture sample inside；

And

Three-dimensional microscopical structure Information Statistics analysis module, is analyzed with true for the three-dimensional microscopical structure model to described block of stone Rock-soil ratio, size distribution, block stone spatial distribution, block stone geometrical property and the block stone form for determining the soil-rock mixture sample are special Property.

6. system according to claim 5, it is characterised in that wherein, the soil-rock mixture sample preparation device is to have Machine glass sample preparation cylinder, the CT faultage images scanning means is CT Scanner.

7. system according to claim 5, it is characterised in that the reconstructing three-dimensional model module is used for：

Denoising is filtered to each CT faultage image in the CT tomographic sequences；

Each CT faultage image after to filtering and noise reduction carries out binary conversion treatment to determine described piece of stone cross sectional area and the soil body Region；

Described piece of stone cross sectional area is split by the morphological image computing corroded and expand multiple independent to obtain Block stone section.

8. the system according to claim any one of 5-7, it is characterised in that also include：Three-dimensional Display computer installation, uses Rendered and shown in the three-dimensional microscopical structure model to block stone.