Prediction method and device for grading upper envelope line of rockfill material at same measuring point, electronic equipment and storage medium

Abstract

The invention provides a same-measuring-point rockfill material grading upper envelope line prediction method and device, electronic equipment and a storage medium, and relates to the technical field of engineering geophysical exploration, and the method can realize the nondestructive detection of the initial quality of each particle group in a same-measuring-point rockfill material by using a surface image and a ground penetrating radar profile map in combination with a standard radar map. And the grading upper envelope line is calculated by adopting the maximum dry density, so that the obtained grading upper envelope line is closer to the real crushing and grading evolution state of the rockfill material. Moreover, the method adopts a nondestructive testing mode to predict the grading upper envelope line of the rockfill material at the same measuring point, the amount of data required to be detected is small, the calculation model is clear, the prediction efficiency can be improved, the prediction cost can be reduced, the influence on the construction progress of the dam can be avoided, the interference on the grading upper envelope line caused by introduction of human factors can be avoided, and the prediction accuracy is improved. And the accuracy of the grading upper envelope line is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of engineering geophysical exploration technology, and in particular to a method and device for predicting an envelope of a same-point rockfill material gradation, an electronic device, and a storage medium. BACKGROUND

[0002] The gradation is a key technical index for controlling the quality of rockfill material filling. The gradation of a certain particle size refers to the percentage of the mass content of particles smaller than the particle size. After the dam is filled with rockfill material, under the rolling of the vibrating roller, the particle content of the large particle group of the rockfill material is continuously reduced due to the crushing of the particles, and the particle content of the small particle group is continuously increased. Therefore, the gradation curve changes constantly, and the compactness of the rockfill material also increases synchronously.

[0003] Whether the gradation of the rockfill material filling is qualified usually needs to be determined by a field rolling test. After rolling, the gradation of the rockfill material under different rolling passes is determined by the pit measurement method, and then the upper envelope line of the rockfill material gradation design is determined by experience, that is, the upper envelope line artificially designed to cover all the gradations of the rockfill material. Thereafter, the lower envelope line is determined according to a large number of initial gradations of the rockfill material before rolling. When the gradation of the rockfill material after rolling is within the upper and lower envelope lines, it is considered that the gradation of the rockfill material meets the quality requirements of the filling. As shown in FIG. 1, it is a particle crushing image of a pit measurement point. As shown in FIG. 2, it is a gradation curve diagram of a certain measurement point under different rolling passes, which includes an initial gradation curve, a gradation curve after rolling n times, and an upper envelope line of the gradation design. Figure 1 Figure 2 Figure 2 The horizontal coordinate d is the particle size, and the vertical coordinate is the gradation. Figure 2

[0004] However, the pit measurement method needs to dig and weigh the rockfill material, which greatly disturbs the in-situ sample of the measurement point, and it is difficult to detect the gradation under different rolling passes at the same measurement point. If the measurement points are different, the initial gradation, lithology, water content, weathering degree, and other indexes of the rockfill material on site are not the same, resulting in many abnormal measurement points. For example, as the rolling pass increases, the compactness of the rockfill material decreases, and the content of the large particle group increases, which further leads to a large error in the obtained upper envelope line of the gradation. At the same time, the pit measurement method is a destructive detection method, which is time-consuming and labor-intensive, and it is destructive to the dam and has a great impact on the construction progress. In addition, the pit measurement method needs a large amount of pit measurement data to determine the upper envelope line of the gradation, and the determination process is more subjective. SUMMARY

[0005] The present application provides a method and device for predicting an envelope of a same-point rockfill material gradation, an electronic device, and a storage medium to solve the defects in the related art.

[0006] The present application provides a method for predicting an envelope of a same-point rockfill material gradation, comprising:​​​ obtaining a surface image and a ground penetrating radar profile of the same point heap rock before rolling, and determining initial mass of each particle group in the same point heap rock before rolling based on the surface image and the ground penetrating radar profile in combination with a standard radar profile, wherein the surface image contains a standard scale, and the standard radar profile corresponds to each reference particle; determining density of the same point heap rock under different rolling times based on an additional mass method, and fitting the density under different rolling times, and obtaining maximum dry density of the same point heap rock based on a fitting result; determining an envelope curve of the same point heap rock based on the maximum dry density and the initial mass by means of a gradation evolution model.

[0007] According to the same point heap rock gradation envelope curve prediction method provided by the application, the envelope curve of the same point heap rock is determined based on the maximum dry density and the initial mass by means of the gradation evolution model, which comprises the following steps: determining maximum input energy of the road roller based on the maximum dry density and a first correlation between density of the same point heap rock after rolling and input energy of the road roller; determining maximum probability of particle damage of each particle group in the same point heap rock based on the maximum input energy and a second correlation between input energy of the road roller and probability of particle damage; calculating ultimate gradation of the same point heap rock based on the maximum probability and the initial mass and the gradation evolution model, and determining the envelope curve based on the ultimate gradation and particle size of each particle group in the same point heap rock.

[0008] According to the same point heap rock gradation envelope curve prediction method provided by the application, the envelope curve of the same point heap rock is determined based on the maximum dry density and the initial mass by means of the gradation evolution model, which comprises the following steps: determining first mass of broken particles of each particle group in the same point heap rock based on the maximum probability and the initial mass; determining a broken particle mass distribution matrix based on particle size of each particle group in the same point heap rock, and determining new particle mass of each particle group in the same point heap rock based on the broken particle mass distribution matrix and the first mass; determining rolled particle mass of each particle group in the same point heap rock based on the initial mass, the first mass and the new particle mass; calculating ultimate gradation of the same point heap rock based on the rolled particle mass of each particle group in the same point heap rock.

[0009] An envelope prediction method for the same-point heap stone material gradation according to the present application, the ultimate gradation of the same-point heap stone material is calculated based on the particle mass of each particle group in the same-point heap stone material after rolling, comprising: In the order of particle size of each particle group in the same-point heap stone material from small to large, the cumulative particle mass of each particle group in the same-point heap stone material after rolling is calculated based on the particle mass of each particle group in the same-point heap stone material after rolling; The ultimate gradation of the same-point heap stone material is calculated based on the sum of the particle mass of each particle group in the same-point heap stone material after rolling and the cumulative particle mass of each particle group in the same-point heap stone material after rolling.

[0010] An envelope prediction method for the same-point heap stone material gradation according to the present application, the first correlation is determined based on the following steps: The density samples of the same-point heap stone material after rolling of the road roller under different input energies are measured based on the additional mass method; The different input energies of the road roller and the density samples are fitted to obtain the first correlation.

[0011] An envelope prediction method for the same-point heap stone material gradation according to the present application, the initial mass of each particle group in the same-point heap stone material before rolling is determined based on the surface image and the ground penetrating radar profile, combined with a standard radar profile, comprising: The surface image is processed based on an image segmentation algorithm to obtain the edge contour of each surface particle in the same-point heap stone material, and the particle size of each surface particle is determined based on the edge contour of each surface particle combined with the standard scale; The particle size of each deep layer particle in the same-point heap stone material is determined based on the ground penetrating radar profile, the standard radar profile and the particle size of each reference particle; The volume of each particle in the same-point heap stone material is calculated based on the particle size of each particle in the same-point heap stone material, and the initial mass of each particle group in the same-point heap stone material is calculated based on the volume of each particle in the same-point heap stone material.

[0012] An envelope prediction method for the same-point heap stone material gradation according to the present application, the standard radar profile is determined based on the following steps: A model field is established, and reference particles of different particle sizes are filled in the model field, and fine sand is filled around each reference particle; The model field is rolled to obtain a rolled model field, and the standard measurement point of the rolled model field is detected by a ground penetrating radar to obtain the standard radar profile.

[0013] The application provides a method for predicting an envelope of a same-point heap stone material gradation, and the ground penetrating radar profile is obtained by arranging a ground penetrating radar in a meander shape on a same-point heap stone material.

[0014] The application further provides an electronic device, a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method for predicting an envelope of a same-point heap stone material gradation when executing the computer program.

[0015] The application further provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executable on the processor to implement the method for predicting an envelope of a same-point heap stone material gradation.

[0016] The application further provides a computer program product, and the computer program product comprises a computer program, and the computer program is executable on the processor to implement the method for predicting an envelope of a same-point heap stone material gradation.

[0017] The method for predicting an envelope of a same-point heap stone material gradation, the device, the electronic device, and the storage medium provided by the application first acquire a surface image and a ground penetrating radar profile of a same-point heap stone material before rolling, and then determine the initial mass of each particle group in the same-point heap stone material before rolling based on the surface image and the ground penetrating radar profile and in combination with a standard radar profile. Then, the density of the same-point heap stone material under different rolling times is measured based on the additional mass method, and the density under different rolling times is fitted, and the maximum dry density of the same-point heap stone material is obtained based on the fitting result. Finally, the gradation envelope of the same-point heap stone material is determined based on the maximum dry density and the initial mass and by means of a gradation evolution model. The method uses the maximum dry density to calculate the gradation envelope, so that the obtained gradation envelope is closer to the real crushing and gradation evolution state of the heap stone material. Moreover, the method predicts the gradation envelope of the same-point heap stone material in a nondestructive testing manner, the amount of data required for detection is small, the calculation model is clear, the prediction efficiency can be improved, the prediction cost can be reduced, the influence on the construction progress of the dam can be avoided, the interference of human factors on the gradation envelope can be avoided, and the accuracy of the gradation envelope can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the application or the related art, the following will briefly introduce the drawings needed to be used in the embodiments or the related art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without any creative effort.

[0019] Figure 1is the existing pit measuring point particle crushing image.

[0020] Figure 2 is the existing grading curve diagram of different compaction passes of a measuring point.

[0021] Figure 3 is the flowchart of the envelope line prediction method for the same measuring point rockfill material grading provided by the present application.

[0022] Figure 4 is the density evolution and hyperbolic curve fitting diagram of the same measuring point rockfill material under different compaction passes in the envelope line prediction method for the same measuring point rockfill material grading provided by the present application.

[0023] Figure 5 is the measuring point layout diagram of the envelope line prediction method for the same measuring point rockfill material grading (i.e. the new method) and the traditional method under different compaction passes provided by the present application.

[0024] Figure 6 is the rock block distribution diagram of the model field in the envelope line prediction method for the same measuring point rockfill material grading provided by the present application.

[0025] Figure 7 is the measuring line layout diagram of the ground penetrating radar at the same measuring point rockfill material in the envelope line prediction method for the same measuring point rockfill material grading provided by the present application.

[0026] Figure 8 is the profile image of the ground penetrating radar on a measuring line.

[0027] Figure 9 is the detection result diagram of the ground penetrating radar on a measuring line.

[0028] Figure 10 is the comparison diagram of three types of grading curves in the envelope line prediction method for the same measuring point rockfill material grading provided by the present application.

[0029] Figure 11 is the grading curve diagram of a measuring point in the I area of the dam body rockfill.

[0030] Figure 12 is the grading curve diagram of a measuring point in the II area of the dam body rockfill.

[0031] Figure 13 is the grading curve diagram of a measuring point in the III area of the dam body rockfill.

[0032] Figure 14 is the structural diagram of the envelope line prediction device for the same measuring point rockfill material grading provided by the present application.

[0033] Figure 15 is the structural diagram of the electronic device provided by the present application. DETAILED DESCRIPTION

[0034] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0035] In the prior art, the upper envelope line of the grading is usually determined by the pit measurement method to determine the grading curve, and then an upper envelope line capable of containing all the grading curves is artificially designed. This method needs to determine the grading curve in a destructive way, which greatly disturbs the original sample of the measurement point, resulting in a large number of abnormal measurement points, and thus a large error of the upper envelope line of the grading. At the same time, the pit measurement method is time-consuming and labor-intensive, which may have a great impact on the construction progress. Based on this, the present application provides a same measurement point rockfill material grading upper envelope line prediction method.

[0036] Figure 3 A flowchart of the same measurement point rockfill material grading upper envelope line prediction method provided in the present application is shown in FIG. 1, which comprises the following steps. Figure 3 S1, obtaining a surface image and a ground penetrating radar profile of the same measurement point rockfill material before rolling, and determining the initial mass of each particle group in the same measurement point rockfill material before rolling based on the surface image and the ground penetrating radar profile in combination with a standard radar profile; the surface image contains a standard scale, and the standard radar profile corresponds to each reference particle; S2, determining the density of the same measurement point rockfill material under different rolling times based on the additional mass method, and fitting the density under different rolling times to obtain the maximum dry density of the same measurement point rockfill material based on the fitting result; S3, determining the grading upper envelope line of the same measurement point rockfill material by means of a grading evolution model based on the maximum dry density and the initial mass.

[0037] Specifically, the same measurement point rockfill material grading upper envelope line prediction method provided in the present application has a same measurement point rockfill material grading upper envelope line prediction device as the execution subject, which can be configured in a computer. The computer can be a local computer or a cloud computer, and the local computer can be a computer, a tablet, etc., which is not limited here.

[0038] Firstly, step S1 is performed to obtain a surface image and a ground penetrating radar profile of the same measurement point rockfill material before rolling. The same measurement point rockfill material refers to the rockfill material at the same measurement point, which can be the blasting material in the dam material yard, and the weathering degree is fresh granite.

[0039] ​The surface layer image is obtained by shooting the surface of the same point rockfill material before rolling. The shooting tool can be an industrial camera or a mobile terminal with shooting function, which is not limited here.

[0040] The ground penetrating radar profile map is a radar inverse profile image in the depth direction obtained by scanning the surface of the same point rockfill material using a ground penetrating radar that transmits and receives electromagnetic waves. The ground penetrating radar can be a multi-frequency, multi-dimensional radar, such as an 8-channel three-dimensional ground penetrating radar of 450MHz, a 200MHz two-dimensional ground penetrating radar, a 900MHz two-dimensional ground penetrating radar, etc.

[0041] After obtaining the surface layer image and the ground penetrating radar profile map, the surface layer image and the ground penetrating radar profile map can also be preprocessed to improve the image quality. The preprocessing operation can include normalization processing, outlier rejection, etc.

[0042] In the same point rockfill material, there can be surface layer particles and deep layer particles. The particle size of the surface layer particles can be less than 200mm, and the particle size of the deep layer particles can be more than 200mm. Here, the image segmentation algorithm can be used to process the surface layer image to obtain the edge contour of each surface layer particle in the same point rockfill material, and then the particle size of each surface layer particle can be obtained according to the edge contour of each surface layer particle combined with a standard scale.

[0043] By comparing the ground penetrating radar profile map with the standard radar profile map, the corresponding area of the abnormal area in the ground penetrating radar profile map in the standard radar profile map is determined, and the known particle size of the reference particle in the corresponding area is taken as the particle size of the deep layer particle corresponding to the abnormal area in the ground penetrating radar profile map.

[0044] Thereafter, the particle size of each particle in the same point rockfill material can be used to calculate the volume of each particle in the same point rockfill material, and the volume of each particle in the same point rockfill material can be combined with the ratio, i.e. the relative density, to determine the mass of each particle in the same point rockfill material.

[0045] Grouping each particle in the same point rockfill material according to the particle size can obtain each particle group, and the mass of all particles in each particle group can be added to determine the initial mass of each particle group.

[0046] It can be understood that the particle group with a particle size of less than 200mm can be detected through the surface layer image, and the particle group with a particle size of more than 200mm can be detected through the ground penetrating radar profile map. The initial mass of each particle group refers to the mass of each particle group in the same point rockfill material before rolling.

[0047] Then proceed to step S2, leveling and compacting the site before rolling. After the site reaches the required firmness and flatness, lay a layer of riprap and use a 33t road roller with its maximum working capacity vibratory roller at a speed of 2km / h to 3km / h to compact the layer to a thickness of less than 1m.

[0048] The density of riprap at the same measuring point under different compaction passes can be determined non-destructively using the added mass method. For any number of compaction passes, the vibrating mass, density, and vibrating volume of the riprap at the same measuring point can be used to obtain a vibrating volume line graph in the density-vibrating mass coordinate system. Subsequently, the vibrating mass line graph in the stiffness-natural frequency coordinate system can be obtained using the stiffness, vibrating volume, and gradation variation parameters of the riprap at the same measuring point. Then, the scale factor line graph in the stiffness-vibrating volume-gradation variation parameter coordinate system can be obtained using the stiffness, vibrating volume, and gradation variation parameters of the riprap at the same measuring point. Subsequently, using the parameter equivalence relationship between stiffness and density, the vibrating volume line graph, vibrating mass line graph, and scale factor line graph are overlaid with a grid to obtain an optimized theoretical scale plate for the added mass method. Finally, based on the stiffness and natural frequency of the riprap at the same measuring point, and using the optimized theoretical scale plate for the added mass method, the density of the riprap at the same measuring point is obtained.

[0049] It is understandable that the density mentioned in the mass addition method refers to the dry density at the site, and the gradation change parameter indicates the degree of quantification of the gradation change of the rockfill.

[0050] By using the added mass method, the correspondence between the number of compaction passes and the density of the riprap at the same measuring point can be obtained. Subsequently, the density under different compaction passes can be fitted to obtain the fitting result. Here, a hyperbolic function can be used to fit the density under different compaction passes, and the fitting result can be expressed as formula (1): ; (1) in, This represents the density of the riprap at the same measuring point when the number of compaction passes is n, expressed in g / cm³. 3 a, b, and c are all fitting parameters for the hyperbolic function, and can take values ​​of 1.95, 0.24, and 0.37, respectively.

[0051] like Figure 4 As shown, by fitting the density values ​​under different compaction passes using a hyperbolic function, a [data structure] can be formed. Figure 4 The solid line in the middle. Figure 4 The horizontal axis is n, and the vertical axis is... .

[0052] The maximum dry density of the riprap at the same measuring point can be obtained using the fitting results. Here, it can be seen from formula (1) that when the number of compaction passes... nWhen tending to infinity, the density of the same measuring point rockfill approaches the maximum dry density, and the maximum dry density can be expressed as formula (2): ; (2) wherein, is the maximum dry density of the same measuring point rockfill.

[0053] Finally, step S3 is performed, and the maximum dry density of the same measuring point rockfill and the initial mass of each particle group in the same measuring point rockfill are used to determine the upper envelope curve of the gradation of the same measuring point rockfill by means of the gradation evolution model. That is, the upper envelope curve of the gradation corresponds to the final gradation of the maximum dry density of the same measuring point rockfill.

[0054] Here, the gradation evolution model refers to the change of the gradation of the same measuring point rockfill with the increase of the number of compaction passes. The maximum dry density of the same measuring point rockfill and the initial mass of each particle group in the same measuring point rockfill are used to determine the final gradation of the same measuring point rockfill corresponding to the maximum dry density by means of the gradation evolution model, that is, the final gradation of the rockfill when the rockfill reaches the most dense state and the gradation no longer changes. The final gradation of the same measuring point rockfill refers to the final mass content percentage of each particle group in the same measuring point rockfill at the maximum dry density.

[0055] Further, the final gradation of the same measuring point rockfill and the particle size of each particle group in the same measuring point rockfill are combined to determine the upper envelope curve of the gradation.

[0056] The same measuring point rockfill gradation upper envelope curve prediction method provided in the embodiments of the present application first acquires the surface image and the ground penetrating radar profile of the same measuring point rockfill before compaction, and determines the initial mass of each particle group in the same measuring point rockfill before compaction based on the surface image and the ground penetrating radar profile in combination with the standard radar profile. Then, the density of the same measuring point rockfill under different compaction passes is measured based on the additional mass method, and the densities under different compaction passes are fitted to obtain the maximum dry density of the same measuring point rockfill based on the fitting result. Finally, the maximum dry density and the initial mass are used to determine the upper envelope curve of the gradation of the same measuring point rockfill by means of the gradation evolution model. This method uses the surface image and the ground penetrating radar profile in combination with the standard radar profile to realize nondestructive testing of the initial mass of each particle group in the same measuring point rockfill. The maximum dry density is used to calculate the upper envelope curve of the gradation, which can make the obtained upper envelope curve of the gradation closer to the actual broken and gradation evolution state of the rockfill. Moreover, this method uses a nondestructive testing method to predict the upper envelope curve of the gradation of the same measuring point rockfill, which requires a small amount of detection data and a clear calculation model, can not only improve the prediction efficiency and reduce the prediction cost, avoid affecting the construction progress of the dam, but also avoid the interference of human factors on the upper envelope curve of the gradation, and improve the accuracy of the upper envelope curve of the gradation.

[0057] In addition, since the method is a non-destructive test, the same test point can be used to measure the density of the rockfill material at different rolling times, and the number of test points is 1 / 3 of the traditional method.

[0058] As shown in Figure 5 When 8, 10 and 12 rolling tests are required respectively, 2 rows of test points need to be selected for testing, i.e. 36 test points are required in total. However, the same test point rockfill material gradation envelope prediction method (i.e. the new method) provided in the embodiment of the present application only needs to select 2 rows of 12 test points as the same test points for 8, 10 and 12 rolling tests.

[0059] On the basis of the above embodiment, the gradation envelope of the same test point rockfill material is determined based on the maximum dry density and the initial mass by means of a gradation evolution model, comprising: Based on the maximum dry density, a first correlation between the density of the same test point rockfill material after rolling and the input energy of the road roller is applied to determine the maximum input energy of the road roller; Based on the maximum input energy, a second correlation between the input energy of the road roller and the probability of particle damage is applied to determine the maximum probability of particle damage of each particle group in the same test point rockfill material; Based on the maximum probability and the initial mass, the gradation evolution model is applied to calculate the final gradation of the same test point rockfill material, and based on the final gradation and the particle size of each particle group in the same test point rockfill material, the gradation envelope is determined.

[0060] Specifically, in the embodiment of the present application, the maximum input energy of the road roller corresponding to the maximum dry density can be determined by means of the first correlation between the density of the same test point rockfill material after rolling and the input energy of the road roller. The unit of the maximum input energy is KJ.

[0061] The first correlation can be determined based on the following steps: First, the density samples of the same test point rockfill material after rolling of the road roller at different input energies are measured by using the additional mass method. The rolling times corresponding to the different input energies of the road roller are the same, and the unit of the different input energies of the road roller is KJ.

[0062] Thereafter, the different input energies of the road roller and the density samples are fitted to obtain the first correlation.

[0063] The maximum dry density is substituted into the first correlation to obtain the maximum input energy of the road roller: ; (3) wherein, d, e, fare fitting parameters in the first correlation relationship, and can be respectively 1.95, 0.21 and 0.35. is the maximum input energy of the roller.

[0064] Thereafter, by means of a second correlation relationship between the input energy of the roller and the probability of the particles being damaged, the maximum probability of the particles in each particle group in the same measuring point rockfill corresponding to the maximum input energy of the roller is determined.

[0065] During the rolling process, with the increase of the rolling times, the breakage of the rockfill is also intensified. The second correlation relationship can be determined based on the Weibull distribution, that is, the probability of the particles being damaged obeys the Weibull distribution. Therefore, the maximum probability can be expressed by the following formula (4): ; (4) wherein, is the maximum probability of the particles in a particle group in the same measuring point rockfill being damaged, d is the particle size of a particle group in the same measuring point rockfill, d 0 and E 0 are the particle size and the input energy of the roller corresponding to the probability of the particles being damaged being 63% in the same measuring point rockfill, respectively; m is the Weibull modulus, which can be 1.59; r is the size effect parameter, which can be 0.0001.

[0066] Thereafter, by means of the maximum probability and the initial mass, the ultimate gradation of the same measuring point rockfill can be calculated by applying the gradation evolution model, and the envelope of the gradation can be determined by means of the ultimate gradation of the same measuring point rockfill and the particle sizes of each particle group in the same measuring point rockfill.

[0067] In the embodiment of the present application, the maximum probability is determined by means of the maximum dry density of the same measuring point rockfill, and then the ultimate gradation can be calculated by means of the maximum probability, and the envelope of the gradation can be obtained by means of the ultimate gradation and the particle sizes of each particle group in the same measuring point rockfill, so as to ensure the rationality and reliability of the envelope of the gradation.

[0068] On the basis of the above-mentioned embodiment, the calculation of the ultimate gradation of the same measuring point rockfill by means of the maximum probability and the initial mass and the application of the gradation evolution model comprises: determination of the first mass of the broken particles in each particle group in the same measuring point rockfill based on the maximum probability and the initial mass; determination of the broken particle mass distribution matrix based on the particle sizes of each particle group in the same measuring point rockfill, and determination of the mass of the newly generated particles in each particle group in the same measuring point rockfill based on the broken particle mass distribution matrix and the first mass. determining the post-rolling particle mass of each particle group in the same point heap rockfill based on the initial mass, the first mass and the newly generated particle mass of each particle group; calculating the ultimate gradation of the same point heap rockfill based on the post-rolling particle mass of each particle group in the same point heap rockfill.

[0069] Specifically, in the embodiment of the present application, the first mass of the broken particles of each particle group in the same point heap rockfill can be determined by using the maximum probability and the initial mass and applying the following formula (5): ; (5) wherein, is the initial mass of the i th particle group in the same point heap rockfill, is the first mass of the broken particles of the i th particle group in the same point heap rockfill.

[0070] Thereafter, the broken particle mass distribution matrix is determined by using the particle size of each particle group in the same point heap rockfill. The element in the i+1 th row and the i th column of the broken particle mass distribution matrix can be expressed by formula (6): ; (6) wherein, is the percentage of the mass content of the particles of the i th particle group distributed to the i+1 th particle group in the i th particle group. is the particle size of the i th particle group, is the particle size of the i+1 th particle group, is the particle size of the i+2 th particle group, and D is the fractal dimension, which can be 2.13.

[0071] Thereafter, the newly generated particle mass of each particle group in the same point heap rockfill can be determined by using the broken particle mass distribution matrix and the first mass. The newly generated particle mass of the i th particle group can be calculated by the following formula (7): ; (7) The post-rolling particle mass of each particle group in the same point heap rockfill is determined by using the initial mass, the first mass and the newly generated particle mass of each particle group, which is as follows: ; (8) wherein, is the post-rolling particle mass of the i th particle group.

[0072] Finally, the ultimate gradation of the same point heap rockfill, i.e. the ultimate mass content percentage of each particle group in the same point heap rockfill, is calculated by using the post-rolling particle mass of each particle group in the same point heap rockfill.

[0073] ; (9) wherein, represents the final mass content percentage of the i th particle group, is the sum of the rolled particle masses of each particle group in the same measurement point rockfill.

[0074] It can be understood that formulas (5)-(9) are all contents of the gradation evolution model.

[0075] In the embodiment of the application, the final gradation of the same measurement point rockfill is calculated through the gradation evolution model, and then the final gradation curve is used as an envelope line of the gradation, so that the envelope line of the gradation is more reasonable, more accurate and reliable.

[0076] On the basis of the above embodiment, the final gradation of the same measurement point rockfill is calculated based on the rolled particle masses of each particle group in the same measurement point rockfill, and comprises: In the order of particle size of each particle group in the same measurement point rockfill from small to large, the cumulative rolled particle mass of each particle group in the same measurement point rockfill is calculated based on the rolled particle masses of each particle group in the same measurement point rockfill. The final gradation of the same measurement point rockfill is calculated based on the sum of the rolled particle masses of each particle group in the same measurement point rockfill and the cumulative rolled particle mass of each particle group in the same measurement point rockfill.

[0077] Specifically, since the final gradation of each particle group in the same measurement point rockfill is the cumulative mass percentage, the cumulative rolled particle mass of each particle group in the same measurement point rockfill can be calculated first in the order of particle size of each particle group in the same measurement point rockfill from small to large by using the rolled particle masses of each particle group in the same measurement point rockfill, and then the final gradation of each particle group in the same measurement point rockfill is calculated by using the sum of the rolled particle masses of each particle group in the same measurement point rockfill and the cumulative rolled particle mass of each particle group in the same measurement point rockfill, that is, the ratio of the cumulative rolled particle mass of any particle group in the same measurement point rockfill to the sum of the rolled particle masses of each particle group in the same measurement point rockfill is taken as the final mass content percentage of the any particle group in the same measurement point rockfill.

[0078] In the embodiment of the application, the final gradation of the same measurement point rockfill is determined by calculating the cumulative rolled particle mass of each particle group in the same measurement point rockfill, so that the final gradation can be calculated quickly.

[0079] On the basis of the above embodiment, the initial mass of each particle group in the same measurement point rockfill before rolling is determined based on the surface image and the ground penetrating radar profile graph in combination with the standard radar graph, and comprises: Based on the image segmentation algorithm, the surface layer image is processed to obtain the edge contour of each surface layer particle in the same measuring point rockfill, and based on the edge contour of each surface layer particle, the particle size of each surface layer particle is determined in combination with the standard scale; Based on the ground penetrating radar profile map, the standard radar map and the particle size of each reference particle, the particle size of each deep layer particle in the same measuring point rockfill is determined. Based on the particle size of each particle in the same measuring point rockfill, the volume of each particle in the same measuring point rockfill is calculated, and based on the volume of each particle in the same measuring point rockfill, the initial mass of each particle group in the same measuring point rockfill is calculated.

[0080] Specifically, when determining the initial mass of each particle group in the same measuring point rockfill before rolling, the image segmentation algorithm can be used first, and the particle size of each surface layer particle in the same measuring point rockfill can be measured in combination with the standard scale in the surface layer image.

[0081] At the same time, the particle size of each deep layer particle in the same measuring point rockfill can be determined in combination with the ground penetrating radar profile map, the standard radar map and the particle size of each reference particle.

[0082] Each surface layer particle and each deep layer particle in the same measuring point rockfill together form the same measuring point rockfill.

[0083] Thereafter, the volume of each particle in the same measuring point rockfill is calculated using the particle size of each particle in the same measuring point rockfill, and the initial mass of each particle group in the same measuring point rockfill is calculated using the volume of each particle in the same measuring point rockfill and the ratio of rockfill. Here, the ratio of rockfill can be 2.55.

[0084] In the embodiments of the present application, by means of the standard scale and the standard radar map respectively, the identification difficulty of the surface layer image and the ground penetrating radar profile map can be reduced, and the particle size of each particle in the same measuring point rockfill can be quickly and accurately determined.

[0085] On the basis of the above embodiments, the standard radar map is determined based on the following steps: A model field is established, and different particle size reference particles are filled in the model field, and fine sand is filled around each reference particle; The model field is rolled to obtain a rolled model field, and the standard measuring point of the rolled model field is detected by ground penetrating radar to obtain the standard radar map.

[0086] Specifically, when obtaining the standard radar map, a model field can be established first, and the length, width and depth of the model field can be 1500mm*300mm*110mm.

[0087] The model field is layered, and 200mm-600mm, 800mm stone blocks are filled as reference particles.

[0088] In addition, an overhead area and a stone block gap are made. The stone blocks are filled with fine sand. In order to increase the dielectric constant of the stone blocks and the sand, a large amount of water is sprayed when filling the sand. As shown in Figure 6 , it is a schematic diagram of the stone block distribution of the model field.

[0089] The model field is rolled to obtain a rolled model field. Standard measurement points are selected in the rolled model field, and ground penetrating radar is used to detect the standard measurement points to obtain a standard radar map.

[0090] In the standard radar map, a plurality of abnormal areas are included, and each abnormal area corresponds to a stone block. According to the placement position of the stone block, the stone block corresponding to each abnormal area in the standard radar map is determined, and then the abnormal area in the standard radar map is associated with the particle size of the stone block, so as to facilitate subsequent determination of the particle size of each particle group in the detected same point rockfill material based on the standard radar map.

[0091] In the embodiment of the present application, the acquisition method of the standard radar map is given, which can provide convenience for the determination of the particle size of each particle group in the same point rockfill material.

[0092] On the basis of the above-mentioned embodiment, the ground penetrating radar profile map is obtained based on the detection of the ground penetrating radar in the me-shaped line arrangement of the same point rockfill material.

[0093] Specifically, in the embodiment of the present application, in order to improve the detection accuracy when acquiring the ground penetrating radar profile map, the line arrangement of the ground penetrating radar in the same point rockfill material is arranged in a me-shaped manner with the measurement point as the center, and the length of the line can be 10 meters. Figure 7

[0094] As shown in Figure 8 , it is a profile image of the ground penetrating radar on a certain line, Figure 8 The red box in the red box indicates the particles below the surface of the same point rockfill material. Figure 7 The horizontal coordinate in the red box is the distance in the line direction from the same point rockfill material, and the vertical coordinate is the distance from the surface below the surface of the same point rockfill material.

[0095] As shown in Figure 9 , it is a detection result schematic diagram of the ground penetrating radar on a certain line, Figure 9 The stone blocks of the particle size along the way of the line are given.

[0096] ​In the method for predicting the envelope of the same point rockfill material gradation (i.e., the new method) provided in the embodiments of the present application, after the initial mass of each particle group in the same point rockfill material is determined, the initial gradation of the same point rockfill material can be determined. Then, after the same point rockfill material is rolled for 10 times, the second mass of each particle group in the same point rockfill material can be determined, and then the gradation of the same point rockfill material after being rolled for 10 times can be determined, such as Figure 10 the gradation modified by the internal radar detection.

[0097] If only the surface image is used, the particle size of the surface particles in the same point rockfill material is obtained, and the volume of the surface particles is determined, and the mass of the surface particles is determined in combination with the ratio of the rockfill material, and then the apparent image recognition gradation of the same point rockfill material is obtained.

[0098] Meanwhile, in order to verify the accuracy of the gradation obtained in the embodiments of the present application, the pit measurement method is also used to determine the gradation of the same point rockfill material after being rolled for 10 times, i.e., the pit measurement value is obtained.

[0099] As can be seen from Figure 10 , comparing the above three types of gradation curves shows that the gradation modified by the internal radar detection is comparable in accuracy to the pit measurement value, and is superior to the apparent image recognition gradation.

[0100] The envelope of the gradation of different zones of the dam body is predicted by using the method for predicting the envelope of the same point rockfill material gradation provided in the embodiments of the present application and the existing method, respectively.

[0101] As shown in Figure 11 , it is a gradation curve diagram of a measuring point in the dam body rockfill I zone, Figure 11 in which the design upper envelope and the design lower envelope are both artificially determined in the existing method, and the optimization value (the final gradation curve) is the gradation envelope obtained in the embodiments of the present application. Figure 11 The dam body region corresponding to the arrow in .

[0102] As shown in Figure 12 , it is a gradation curve diagram of a measuring point in the dam body rockfill II zone, Figure 12 in which the design upper envelope and the design lower envelope are both artificially determined in the existing method, and the optimization value (the final gradation curve) is the gradation envelope obtained in the embodiments of the present application. Figure 12 The dam body region corresponding to the arrow in .

[0103] As shown in Figure 13 , it is a gradation curve diagram of a measuring point in the dam body rockfill III zone, Figure 13 in which the design upper envelope and the design lower envelope are both artificially determined in the existing method, and the optimization value (the final gradation curve) is the gradation envelope obtained in the embodiments of the present application. Figure 13The dam body region corresponding to the middle arrow is a dam body rockfill III region.

[0104] Figures 11-13 The gradation of the rockfill material at a measuring point of the dam body obtained in the middle is shown in Table 1.

[0105] Table 1 Gradation of rockfill material at a measuring point of the dam body

[0106] From Figures 11-13 It can be known that the detection rule and the real situation of the gradation envelope line obtained by the gradation envelope line prediction method provided in the embodiment of the present application are closer to the real situation, and the precision is higher.

[0107] As Figure 14 shown, on the basis of the above-mentioned embodiment, a gradation envelope line prediction device for rockfill material at a measuring point is provided in the embodiment of the present application, comprising: An initial quality acquisition module 121 is configured to acquire a surface image and a ground penetrating radar profile of the rockfill material at the measuring point before rolling, and determine the initial quality of each particle group in the rockfill material at the measuring point before rolling based on a gradation detection model and in combination with the surface image and the ground penetrating radar profile. A density fitting module 122 is configured to determine the density of the rockfill material at the measuring point under different rolling times based on an additional quality method, and fit the density under different rolling times, and obtain the maximum dry density of the rockfill material at the measuring point based on the fitting result. An upper envelope line determination module 123 is configured to determine the gradation envelope line of the rockfill material at the measuring point by means of a gradation evolution model based on the maximum dry density and the initial quality.

[0108] On the basis of the above-mentioned embodiment, the gradation envelope line prediction device for rockfill material at a measuring point provided in the embodiment of the present application, the upper envelope line determination module is specifically configured to: determine the maximum input energy of the road roller based on the first correlation between the density of the rockfill material at the measuring point after rolling and the input energy of the road roller; determine the maximum probability of particle damage of each particle group in the rockfill material at the measuring point based on the second correlation between the input energy of the road roller and the probability of particle damage of each particle group in the rockfill material at the measuring point; calculate the ultimate gradation of each particle group in the rockfill material at the measuring point based on the maximum probability and the initial quality, and the gradation evolution model, and determine the gradation envelope line based on the ultimate gradation of each particle group and the particle size of each particle group.

[0109] On the basis of the above-mentioned embodiments, the same measuring point rockfill material gradation envelope line prediction device provided in the embodiments of the present application, the upper envelope line determination module is specifically used for: Based on the maximum probability and the initial quality, the first quality of the particle destruction in each particle group in the same measuring point rockfill material is determined; Based on the particle size of each particle group, a quality distribution matrix is determined, and based on the quality distribution matrix and the first quality, the newly generated particle quality of each particle group is determined; Based on the initial quality, the first quality and the particle quality, the rolled particle quality of each particle group is determined; Based on the rolled particle quality of each particle group, the final gradation of each particle group is calculated.

[0110] On the basis of the above-mentioned embodiments, the same measuring point rockfill material gradation envelope line prediction device provided in the embodiments of the present application, the upper envelope line determination module is specifically used for: In the order of the particle size of each particle group from small to large, based on the rolled particle quality of each particle group, the cumulative rolled particle quality of each particle group is calculated; Based on the sum of the rolled particle quality of each particle group and the cumulative rolled particle quality of each particle group, the final gradation of each particle group is calculated.

[0111] On the basis of the above-mentioned embodiments, the same measuring point rockfill material gradation envelope line prediction device provided in the embodiments of the present application, the first correlation relationship is determined based on the following steps: Based on the additional mass method, the density samples of the same measuring point rockfill material after rolling of the road roller with different input energies are determined; The different input energies of the road roller and the density samples are fitted to obtain the first correlation relationship.

[0112] On the basis of the above-mentioned embodiments, the same measuring point rockfill material gradation envelope line prediction device provided in the embodiments of the present application, the density fitting module is specifically used for: Based on the hyperbolic function, the densities under different rolling times are fitted.

[0113] On the basis of the above-mentioned embodiments, the same measuring point rockfill material gradation envelope line prediction device provided in the embodiments of the present application, the ground penetrating radar profile map is obtained by the ground penetrating radar detection in the same measuring point rockfill material.

[0114] Specifically, the functions of each module in the prediction device for the gradation envelope of the same test point rockfill provided in this embodiment of the invention correspond one-to-one with the operation flow of each step in the above-mentioned method-like embodiments, and the achieved effects are also the same. For details, please refer to the above embodiments, and this will not be repeated in this embodiment of the invention.

[0115] Figure 15 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 15 As shown, the electronic device may include a processor 110, a communications interface 120, a memory 130, and a communication bus 140, wherein the processor 110, the communications interface 120, and the memory 130 communicate with each other via the communication bus 140. The processor 110 can call logical instructions in the memory 130 to execute the same-point rockfill gradation envelope prediction method provided in the above embodiments.

[0116] Furthermore, the logical instructions in the aforementioned memory 130 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to related technologies, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0117] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the method for predicting the envelope of the gradation of rockfill at the same measurement point provided in the above embodiments.

[0118] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the method for predicting the envelope of riprap gradation at the same measurement point provided in the above embodiments. This computer-readable storage medium can be either a non-transitory computer-readable storage medium or a transient computer-readable storage medium, and no specific limitation is made herein.

[0119] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0120] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0121] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for predicting an envelope on a same test point rockfill material gradation, characterized in that, The method comprises the following steps: obtaining a surface image and a ground penetrating radar profile of the same point of the rockfill material before rolling, and determining the initial mass of each particle group in the rockfill material at the same point before rolling based on the surface image and the ground penetrating radar profile and in combination with a standard radar profile; the surface image contains a standard scale, and the standard radar profile corresponds to each reference particle; determining the density of the rockfill material at the same point under different rolling times based on the additional mass method, fitting the density under different rolling times, and obtaining the maximum dry density of the rockfill material at the same point based on the fitting result; determining the upper envelope curve of the gradation of the rockfill material at the same point based on the maximum dry density and the initial mass by means of a gradation evolution model.

2. The same-site heap rockfill gradation envelope line prediction method according to claim 1, characterized in that, The step of determining the upper envelope curve of the gradation of the rockfill material at the same point based on the maximum dry density and the initial mass by means of the gradation evolution model comprises the following steps: determining the maximum input energy of the road roller based on the maximum dry density and a first correlation between the density of the rockfill material at the same point after rolling and the input energy of the road roller; determining the maximum probability of particle damage of each particle group in the rockfill material at the same point based on the maximum input energy and a second correlation between the input energy of the road roller and the probability of particle damage; calculating the ultimate gradation of the rockfill material at the same point based on the maximum probability and the initial mass by means of the gradation evolution model, and determining the upper envelope curve of the gradation based on the ultimate gradation and the particle size of each particle group in the rockfill material at the same point.

3. The same-site heap rockfill gradation envelope line prediction method according to claim 2, characterized in that, The step of calculating the ultimate gradation of the rockfill material at the same point based on the maximum probability and the initial mass by means of the gradation evolution model comprises the following steps: determining the first mass of the broken particles of each particle group in the rockfill material at the same point based on the maximum probability and the initial mass; determining a broken particle mass distribution matrix based on the particle size of each particle group in the rockfill material at the same point, and determining the mass of the newly generated particles of each particle group in the rockfill material at the same point based on the broken particle mass distribution matrix and the first mass; determining the post-rolling particle mass of each particle group in the rockfill material at the same point based on the initial mass, the first mass and the mass of the newly generated particles; calculating the ultimate gradation of the rockfill material at the same point based on the post-rolling particle mass of each particle group in the rockfill material at the same point.

4. The method for predicting the envelope of gradation of riprap at the same measuring point according to claim 3, characterized in that, The step of calculating the ultimate gradation of the rockfill material at the same point based on the post-rolling particle mass of each particle group in the rockfill material at the same point comprises the following steps: calculating the cumulative post-rolling particle mass of each particle group in the rockfill material at the same point based on the post-rolling particle mass of each particle group in the rockfill material at the same point in the order from small to large of the particle size of each particle group in the rockfill material at the same point; calculating the ultimate gradation of the rockfill material at the same point based on the sum of the post-rolling particle mass of each particle group in the rockfill material at the same point and the cumulative post-rolling particle mass of each particle group in the rockfill material at the same point.

5. The method for predicting the envelope of gradation of riprap at the same measuring point according to claim 2, characterized in that, The first correlation is determined based on the following steps: determining a density sample of the rockfill material at the same point after rolling of the road roller under different input energies based on the additional mass method; The first correlation relationship is obtained by fitting different input energies of the roller compactor with the density sample.

6. The same-point heap rock material gradation envelope line prediction method according to any one of claims 1-5, characterized in that, The initial mass of each particle group in the same point rockfill before rolling is determined based on the surface image and the ground penetrating radar profile, combined with a standard radar profile. The surface image is processed based on an image segmentation algorithm to obtain the edge contour of each surface particle in the same point rockfill, and the particle size of each surface particle is determined based on the edge contour of each surface particle combined with the standard scale. The particle size of each deep layer particle in the same point rockfill is determined based on the ground penetrating radar profile, the standard radar profile and the particle size of each reference particle. The volume of each particle in the same point rockfill is calculated based on the particle size of each particle in the same point rockfill, and the initial mass of each particle group in the same point rockfill is calculated based on the volume of each particle in the same point rockfill.

7. The same-site heap rock grading envelope line prediction method according to any one of claims 1-5, characterized in that, The standard radar profile is determined based on the following steps: A model field is established, and reference particles of different particle sizes are filled in the model field, and fine sand is filled around each reference particle; The model field is rolled to obtain a rolled model field, and a standard point of the rolled model field is detected by a ground penetrating radar to obtain the standard radar profile.

8. The same-site heap rock grading envelope line prediction method according to any one of claims 1-5, characterized in that, The ground penetrating radar profile is obtained by a ground penetrating radar in a wheat-shaped line arrangement at the same point rockfill.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the same point rockfill grading envelope prediction method in any one of claims 1-7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the same point rockfill grading envelope prediction method in any one of claims 1-7.

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