Engineering rock surrounding rock grading quantification method and equipment and storage medium
By calculating the basic quality grading index of the surrounding rock and applying the correction coefficient, the problem of relying on experience in the existing tunnel surrounding rock grading method is solved, and accurate grading of a large area is achieved, which improves the scientificity and accuracy of tunnel engineering design and construction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-08
- Publication Date
- 2026-04-07
AI Technical Summary
Existing methods for classifying surrounding rock in tunnels rely on drilling data and expert experience, making it difficult to obtain classification information on surrounding rock outside the borehole area. Furthermore, the classification standards are not uniform, leading to inaccurate assessments of construction difficulty.
By acquiring rock information of the engineering rock mass, the basic quality grading index of the surrounding rock is calculated, and the target basic quality grading index of the surrounding rock is generated using correction coefficients, including corrections for the influence of groundwater, structural planes and geostress, to achieve accurate grading.
It reduces reliance on drilling data and expert experience, enables accurate assessment of geological conditions over a wide area, provides a scientific basis for construction and risk control, and exhibits high consistency and applicability in its grading results.
Smart Images
Figure CN121808889A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of surrounding rock classification technology for tunnels and underground engineering, and in particular to a method, equipment and storage medium for quantitative classification of engineering rock surrounding rock. Background Technology
[0002] Surrounding rock refers to the rock mass around the tunnel body whose stress changes due to the excavation and tunneling process. The stability of the surrounding rock, under certain conditions, determines the difficulty of tunnel engineering design and construction. Therefore, certain standards are needed to evaluate the surrounding rock, making surrounding rock classification an essential part of tunnel engineering.
[0003] Existing mature methods for classifying tunnel surrounding rock typically use integrated well logging and drilling data. However, these methods rely heavily on expert experience and can only provide a clear assessment of the geological conditions within the borehole area, making it difficult to effectively obtain surrounding rock classification information for other areas. Summary of the Invention
[0004] To overcome the shortcomings of existing technologies, this application proposes a method, equipment, and storage medium for classifying and quantifying engineering rock surrounding rocks. This method can solve the problems of existing rock surrounding rock classification methods relying on drilling data, being highly dependent on expert experience, and only being able to obtain geological conditions within the borehole area, making it difficult to obtain rock surrounding rock classification information for other areas.
[0005] To address the aforementioned problems, this application adopts the following technical solution: a method for classifying and quantifying engineering rock surrounding rock, the method comprising: Obtain rock information of the engineering rock mass, and calculate the basic quality classification index of the surrounding rock based on the rock information. The rock information includes the uniaxial saturated compressive strength of the rock and the rock mass integrity coefficient. Obtain the correction coefficient corresponding to the engineering rock mass, generate the target surrounding rock basic quality grading index based on the correction coefficient and the surrounding rock basic quality grading index, determine the grading information of the engineering rock mass according to the target surrounding rock basic quality grading index, the correction coefficient includes the groundwater influence correction coefficient, the underground engineering main structural plane occurrence influence correction coefficient, and the in-situ stress influence correction coefficient, the groundwater influence correction coefficient corresponds to the permeability and the uniaxial saturated compressive strength of the rock.
[0006] Furthermore, the calculation of the basic quality grading index of the surrounding rock based on the rock information includes: The rock information is input into the first calculation formula to obtain the basic quality grading index of the surrounding rock. The first calculation formula is: BQ=5R c +αK v In the formula, BQ is the basic quality grading index of the surrounding rock, and R...c K represents the uniaxial saturated compressive strength of rock. v α is the rock mass integrity coefficient, and α is the weight. The value of α corresponds to the magnitude of the rock mass integrity coefficient.
[0007] Furthermore, the acquisition of the groundwater impact correction coefficient includes: A water pressure test was conducted on the rock mass of the project, and the permeability was obtained based on the test results; Obtain the first groundwater influence correction coefficient corresponding to the permeability and the second groundwater influence correction coefficient corresponding to the uniaxial saturated compressive strength of the rock, and determine the current groundwater influence correction coefficient based on the first groundwater influence correction coefficient and the second groundwater influence correction coefficient.
[0008] Furthermore, the acquisition of the correction coefficient for the influence of the attitude of the main structural planes of the underground engineering includes: Obtain the structural planes and tunnel axes corresponding to the engineering rock mass, and determine the correction coefficients for the influence of the occurrence of the main structural planes of the underground engineering based on the structural planes and the tunnel axes.
[0009] Furthermore, the acquisition of the geostress influence correction coefficient includes: Obtain the uniaxial saturated compressive strength of the rock and the maximum principal stress of the ground stress corresponding to the tunnel axis, and obtain the initial ground stress state based on the uniaxial saturated compressive strength of the rock and the maximum principal stress of the ground stress; The ground stress influence correction coefficient is obtained based on the initial ground stress state.
[0010] Further, the step of generating the target surrounding rock basic quality classification index based on the correction coefficient and the surrounding rock basic quality classification index includes: Substituting the correction coefficient into the second calculation formula, we obtain the basic quality grading index of the target surrounding rock. The second calculation formula is: [BQ]=5R c +αK v -100(K1+K2+K3) In the formula, [BQ] is the basic quality grading index of the target surrounding rock, K1 is the groundwater influence correction coefficient, K2 is the underground engineering main structural surface occurrence influence correction coefficient, and K3 is the in-situ stress influence correction coefficient.
[0011] Further, determining the classification information of the engineering rock mass based on the basic quality classification index of the target surrounding rock includes: Obtain the grading range corresponding to the target surrounding rock quality grading index, and determine the grading information based on the grading range. The number of grading ranges is seven, and the range size of each grading range is the same.
[0012] Furthermore, the acquisition of rock information of the engineering rock mass includes: Rock samples were collected from the engineering rock mass, and the uniaxial saturated compressive strength of the rock was obtained based on the test results of the rock samples. Determine the longitudinal wave velocity corresponding to the engineering rock mass, and calculate the rock mass integrity coefficient based on the longitudinal wave velocity.
[0013] Based on the same inventive concept, this application also proposes an electronic device, including a processor and a memory, wherein the processor is communicatively connected to the memory, the memory stores program data, and the program data is used to execute the method described in the above embodiments.
[0014] Based on the same inventive concept, this application also proposes a computer-readable storage medium storing a computer program that is used to perform the method described above.
[0015] Compared with the prior art, the beneficial effects of this application are as follows: The method for classifying and quantifying the surrounding rock mass in this application obtains rock information of the engineering rock mass, calculates basic quality classification indicators for the surrounding rock based on the rock information, including the uniaxial saturated compressive strength of the rock and the rock mass integrity coefficient; obtains correction coefficients corresponding to the engineering rock mass, generates target basic quality classification indicators for the surrounding rock based on the correction coefficients and the basic quality classification indicators for the surrounding rock, and determines the classification information of the engineering rock mass based on the target basic quality classification indicators for the surrounding rock. The correction coefficients include correction coefficients for the influence of groundwater, correction coefficients for the influence of the attitude of the main structural planes of the underground engineering, and correction coefficients for the influence of in-situ stress. The correction coefficient for the influence of groundwater corresponds to permeability and uniaxial saturated compressive strength of the rock. The surrounding rock quality classification method of this application can reduce the reliance on drilling data and expert experience, and can accurately determine the geological conditions of a large area. It has high accuracy and good applicability, thus effectively providing a more scientific and accurate basis for the design, construction and risk management of underground engineering. Attached Figure Description
[0016] Figure 1 A flowchart of the engineering rock quality classification and quantification method provided in the embodiments of this application; Figure 2 This is one of the diagrams showing the relationship between the groundwater influence coefficient and permeability provided in the embodiments of this application; Figure 3 This is the second diagram showing the relationship between the groundwater influence coefficient and permeability provided in the embodiments of this application. Figure 4 The third diagram showing the relationship between groundwater influence coefficient and permeability provided in the embodiments of this application; Figure 5 A graph showing the relationship between the groundwater influence coefficient and the uniaxial saturated compressive strength of rock is provided for an embodiment of this application. Figure 6 A graph showing the relationship between in-situ stress and rock strength stress ratio provided for embodiments of this application; Figure 7 A classification table for surrounding rock quality, uniaxial saturated compressive strength of rock, and rock mass integrity coefficient provided for embodiments of this application; Figure 8 A structural diagram of the electronic device provided in the embodiments of this application; Figure 9 This is a structural diagram of a computer-readable storage medium provided in an embodiment of this application. Detailed Implementation
[0017] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that the various embodiments of this disclosure described and shown in the accompanying drawings can be combined with each other without conflict, and the structural components or functional modules can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.
[0018] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.
[0019] Please see Figures 1 to 7 , Figure 1 A flowchart of the engineering rock quality classification and quantification method provided in the embodiments of this application; Figure 2 This is one of the diagrams showing the relationship between the groundwater influence coefficient and permeability provided in the embodiments of this application; Figure 3 This is the second diagram showing the relationship between the groundwater influence coefficient and permeability provided in the embodiments of this application. Figure 4 The third diagram showing the relationship between groundwater influence coefficient and permeability provided in the embodiments of this application; Figure 5 A graph showing the relationship between the groundwater influence coefficient and the uniaxial saturated compressive strength of rock is provided for an embodiment of this application. Figure 6A graph showing the relationship between in-situ stress and rock strength stress ratio provided for embodiments of this application; Figure 7 A classification table for surrounding rock quality, uniaxial saturated compressive strength of rock, and rock mass integrity coefficient provided for embodiments of this application. Among them, Figure 2 This is a graph showing the relationship between extremely low and very low permeability. Figure 3 This is a graph showing the relationship between permeability and low permeability. Figure 4 This is a graph showing the relationship between permeability and moderate to high permeability. (Combined with...) Figures 1 to 7 This application provides a detailed description of the classification and quantification method for engineering surrounding rock.
[0020] In this embodiment, the device for performing the engineering rock quality classification and quantification method can be a computer, tablet computer, cloud platform, server, or other smart terminal capable of classifying the quality of surrounding rock.
[0021] The methods for classifying and quantifying engineering rock surrounding rocks include: S101: Obtain rock information of the engineering rock mass and calculate the basic quality classification index of the surrounding rock based on the rock information.
[0022] Optionally, the engineering rock mass is the rock mass at the construction site, and the rock information includes the uniaxial saturated compressive strength and the rock mass integrity coefficient. Obtaining the rock information of the engineering rock mass includes: collecting rock samples from the engineering rock mass; obtaining the uniaxial saturated compressive strength of the rock based on the test results of the rock samples; determining the corresponding P-wave velocity of the engineering rock mass; and calculating the rock mass integrity coefficient based on the P-wave velocity.
[0023] In one embodiment, representative rock samples are taken at the construction site, and the rock samples are subjected to saturation treatment and unconfined compressive strength tests in the laboratory in accordance with the national standard "Standard for Test Methods of Engineering Rock Mass". The value of the uniaxial saturated compressive strength Rc of the rock is directly measured, and its unit is MPa.
[0024] A representative area was selected on the engineering rock mass (the rocks in this area have the same type, strength, and other parameters as most of the rocks in the engineering rock mass, and can be used to represent the rocks of the engineering rock mass). The longitudinal wave velocity (Vp) of the rock mass in this area was measured using a sonic logging instrument. Intact, unfractured rock samples were retrieved from the site, and the longitudinal wave velocity (Vpr) of the rocks was measured in the laboratory. The rock mass integrity coefficient Kv was calculated using the following formula: Kv=(Vp / Vpr) 2 In this embodiment, calculating the basic quality grading index of the surrounding rock based on rock information includes: inputting the rock information into a first calculation formula to obtain the basic quality grading index of the surrounding rock. The first calculation formula is: BQ=5R c +αK v In the formula, BQ is the basic quality grading index of the surrounding rock, and R...c K represents the uniaxial saturated compressive strength of rock. v α is the rock mass integrity coefficient, and α is the weight. The value of α corresponds to the magnitude of the rock mass integrity coefficient.
[0025] Optionally, historical data on basic quality grading indicators of surrounding rock, uniaxial saturated compressive strength of rock, and rock mass integrity coefficient from historical construction cases can be collected, and a first calculation formula can be determined based on this historical data. In this first calculation formula, the relationship between the BQ value and the rock mass integrity coefficient is no longer a simple linear multiplication, but rather, when the integrity is poor (K... v The weight alpha is significantly reduced (smaller), which is more in line with the consensus in rock mechanics that "integrity plays a controlling role in rock mass quality".
[0026] In this embodiment, after obtaining the rock mass integrity coefficient, the value of α can be obtained by looking up a table. Specifically, the relationship between the rock mass integrity coefficient Kv and the value of α is shown in Table 1:
[0027] Table 1 S102: Obtain the correction coefficient corresponding to the engineering rock mass, generate the target surrounding rock basic quality grading index based on the correction coefficient and the surrounding rock basic quality grading index, and determine the grading information of the engineering rock mass according to the target surrounding rock basic quality grading index.
[0028] Optionally, the correction factors include groundwater influence correction factor, underground engineering main structural surface occurrence influence correction factor, and in-situ stress influence correction factor. The groundwater influence correction factor corresponds to permeability and uniaxial saturated compressive strength of rock.
[0029] Optionally, obtaining the groundwater influence correction coefficient includes: conducting a water pressure test on the engineering rock mass and obtaining the permeability based on the test results; obtaining the first groundwater influence correction coefficient corresponding to the permeability and the second groundwater influence correction coefficient corresponding to the uniaxial saturated compressive strength of the rock; and determining the current groundwater influence correction coefficient based on the first and second groundwater influence correction coefficients. Linking the groundwater correction influence coefficient to the measurable "permeability" greatly reduces the subjectivity brought about by the qualitative description of "groundwater state" (such as rain-like or flow-like) in traditional methods, and is an important step towards refinement and quantification.
[0030] In this embodiment, the permeability q is based on the permeability classification of soil and rock mass, where 1Lu = 10⁻⁵ (cm / s). After obtaining the first groundwater influence correction coefficient corresponding to the permeability, the range value of the first groundwater influence correction coefficient can be obtained according to Table 2, and then... Figures 2-4 The relationship diagram determines the specific value of the correction factor for the first groundwater influence. Table 2 shows the results.
[0031] Table 2 Optionally, after obtaining the range of the first groundwater influence correction coefficient according to Table 2, the value can also be taken within this range based on the results of field tests (pressure water test, pumping test, etc.) (the specific value corresponds to the numerical value of the test results).
[0032] In this embodiment, after obtaining the uniaxial saturated compressive strength of the rock, it can also be obtained through... Figure 5 The second groundwater influence correction factor is calculated based on the current uniaxial saturated compressive strength of the rock. After obtaining the first and second groundwater influence correction factors, the larger of the two is taken as the current groundwater influence correction factor.
[0033] In this embodiment, the acquisition of the correction coefficient for the influence of the attitude of the main structural planes of the underground project includes: acquiring the structural planes and tunnel axes corresponding to the engineering rock mass, and determining the correction coefficients for the influence of the attitude of the main structural planes of the underground project based on the structural planes and tunnel axes.
[0034] In this embodiment, the correction coefficient for the influence of the attitude of the main structural surfaces of the underground project is calculated based on the angle between the orientation of the structural surface and the tunnel axis, as well as the dip angle of the structural surface.
[0035] In this embodiment, the strike and dip angle of the main structural planes (such as faults, joints, and bedding) surrounding the underground engineering cavern corresponding to the engineering rock mass can be measured using a geological compass or digital photogrammetry. Simultaneously, the direction of the cavern axis is determined, and the angle between the strike of the structural plane and the cavern axis, as well as the dip angle of the structural plane, are obtained. Based on these angles and dip angles, the range of correction coefficients for the influence of the attitude of the main structural planes of the underground engineering is found in Table 3. Based on this range, the specific value of the correction coefficient for the influence of the attitude of the main structural planes of the underground engineering is calculated using the difference of similarities method. Table 3 is as follows:
[0036] Table 3 In this embodiment, obtaining the ground stress influence correction coefficient includes: obtaining the uniaxial saturated compressive strength of the rock corresponding to the tunnel axis and the maximum principal stress of the ground stress; obtaining the initial ground stress state based on the uniaxial saturated compressive strength of the rock and the maximum principal stress of the ground stress; and obtaining the ground stress influence correction coefficient based on the initial ground stress state.
[0037] In this embodiment, the most unfavorable impact of in-situ stress on the tunnel structure is unilateral lateral thrust, which manifests as the rock strength-stress ratio. Therefore, after obtaining the uniaxial saturated compressive strength of the rock and the maximum principal stress of the in-situ stress, the ratio of the two is obtained (i.e., Rc / σmax, where Rc is the uniaxial ultimate saturated compressive strength (MPa) of the surrounding rock at point A on the tunnel axis, and σmax is the maximum principal stress (i.e., the maximum vertical stress) projected onto point A on the tunnel axis. The location of point A can be determined according to actual needs and the surrounding rock classification). Based on this ratio and Table 4, the range of the in-situ stress influence correction coefficient K3 (i.e., the initial in-situ stress state) is determined. Based on the range and... Figure 6 The specific values of the correction coefficient for the influence of geostress were determined. Table 4 shows the relevant values.
[0038] Table 4 Optionally, the initial geostress state can be obtained through field tests such as hydraulic fracturing and stress relief methods, or through regional geostress field analysis and numerical simulation inversion. To improve the safety and reliability of construction, K3 should consider the most unfavorable combination over a century, representing the strongest possible geological tectonic movement within 100 years.
[0039] In this embodiment, generating the target surrounding rock basic quality grading index based on the correction coefficient and the basic quality grading index of the surrounding rock includes: substituting the correction coefficient into the second calculation formula to obtain the target surrounding rock basic quality grading index, wherein the second calculation formula is: [BQ]=5R c +αK v -100(K1+K2+K3) In the formula, [BQ] is the basic quality classification index of the target surrounding rock, K1 is the groundwater influence correction coefficient, K2 is the underground engineering main structural surface occurrence influence correction coefficient, and K3 is the in-situ stress influence correction coefficient.
[0040] In this embodiment, determining the grading information of the engineering rock mass based on the basic quality grading index of the target surrounding rock includes: obtaining the grading range corresponding to the quality grading index of the target surrounding rock, determining the grading information based on the grading range, wherein the number of grading ranges is seven, and each grading range has the same size. In one embodiment, to address the problem that existing surrounding rock classification standards are inconsistent and overly coarse, making it difficult to fully meet the requirements of current tunnel surrounding rock classification, this application refines the traditional 5-level classification into 7 levels (Ⅰ-Ⅶ), satisfying the stability evaluation requirements across the entire range from "extremely stable" to "extremely unstable". The rock surrounding rock classification table is shown in Table 5:
[0041] Table 5 After obtaining the target surrounding rock quality grading index, the basic quality level of the rock mass at the current construction site is obtained by referring to Table 5 based on this index. Furthermore, to achieve more detailed differentiation, such as... Figure 7 As shown, when the rock mass is subdivided into 7 grades, the uniaxial saturated compressive strength (R) of the rock is also considered. c The rock mass integrity coefficient (K) is further subdivided into 7 levels at equal intervals of 10 MPa. v The rock mass integrity coefficient is subdivided into 7 levels according to an equal interval of 0.1.
[0042] The beneficial effects of this invention are: 1. The data is quantifiable; the value of alpha in the first calculation formula can be determined based on K. v Precise table lookup within intervals avoids the problem of ambiguous indicator weights, making the basic quality classification of surrounding rock more accurate. It completely eliminates the subjective bias of qualitative descriptions such as "relatively complete" and "weakly permeable" in traditional grading, ensuring the consistency of grading results from different testers for the same project.
[0043] 2. K1, K2, and K3 are all determined by "measured data + table lookup matching", so that even non-senior geological personnel can obtain values according to the standard procedure, ensuring the applicability of the classification results in different engineering scenarios.
[0044] 3. The traditional 5-level classification is refined into 7 levels (Ⅰ-Ⅶ), covering the entire stability range from "extremely stable ([BQ]>600)" to "extremely unstable ([BQ] 100~1)", avoiding "insufficient support" or "over-support" due to overly coarse classification.
[0045] 4. Quantifying and standardizing the entire process of "index testing → formula calculation → grading determination" can serve as a universal technical template for rock mass classification and be incorporated into engineering construction standards (such as tunnel and hydraulic cavern construction specifications). Compared to traditional experience-based classification methods, this approach is highly replicable, allowing new engineers to quickly master it, thus driving the industry's classification technology from "experience-driven" to "data-driven" and improving the overall classification level of the industry.
[0046] Based on the same inventive concept, this application also proposes an electronic device, please refer to [link to relevant documentation]. Figure 8 , Figure 8 This is a structural diagram of an electronic device provided in an embodiment of this application. (In conjunction with...) Figure 8 The electronic device described in this application is described in detail.
[0047] In this embodiment, the smart terminal includes a processor and a memory. The processor and the memory are communicatively connected. The memory stores program data, which is used to execute the queue communication method as described in the above embodiment.
[0048] In this embodiment, the processor is the control center of the smart terminal. It connects various parts of the smart terminal via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in the memory, and by calling data stored in the memory, thereby providing overall monitoring of the smart terminal. Optionally, the processor may include one or more processing units; preferably, the processor may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into the processor.
[0049] The smart terminal also includes a power supply (such as a battery) to power various components. Preferably, the power supply can be connected to the processor logic through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system.
[0050] The memory can be used to store software programs and modules. The processor executes various functional applications and data processing of the smart terminal by running the software programs and modules stored in the memory. The memory can mainly include a program storage area and a data storage area. The program storage area can store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area can store data created according to the use of the smart terminal (such as audio data, phone book, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.
[0051] Based on the same inventive concept, this application also proposes a computer-readable storage medium, please refer to [link to relevant documentation]. Figure 9 , Figure 9 This is a structural diagram of an embodiment of the computer-readable storage medium of this application, in conjunction with... Figure 9 The computer-readable storage medium of this application is described.
[0052] In this embodiment, a computer-readable storage medium stores a computer program that is used to perform the engineering rock mass classification and quantification method as described in the above embodiments.
[0053] The computer-readable storage medium may include, but is not limited to, floppy disks, optical disks, CD-ROMs (compact disc-read-only memory), magneto-optical disks, ROMs (read-only memory), RAMs (random access memory), EPROMs (erasable programmable read-only memory), EEPROMs (electrically erasable programmable read-only memory), magnetic cards or optical cards, flash memory, or other types of media / machine-readable media suitable for storing machine-executable instructions. The computer-readable storage medium may be a product not connected to a computer device or a component used in a computer device.
[0054] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0055] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for classifying and quantifying engineering rock surrounding rocks, characterized in that, The method includes: Obtain rock information of the engineering rock mass, and calculate the basic quality classification index of the surrounding rock based on the rock information. The rock information includes the uniaxial saturated compressive strength of the rock and the rock mass integrity coefficient. Obtain the correction coefficient corresponding to the engineering rock mass, generate the target surrounding rock basic quality grading index based on the correction coefficient and the surrounding rock basic quality grading index, determine the grading information of the engineering rock mass according to the target surrounding rock basic quality grading index, the correction coefficient includes the groundwater influence correction coefficient, the underground engineering main structural plane occurrence influence correction coefficient, and the in-situ stress influence correction coefficient, the groundwater influence correction coefficient corresponds to the permeability and the uniaxial saturated compressive strength of the rock.
2. The method for classifying and quantifying engineering surrounding rock as described in claim 1, characterized in that, The calculation of the basic quality grading index of the surrounding rock based on the rock information includes: The rock information is input into the first calculation formula to obtain the basic quality grading index of the surrounding rock. The first calculation formula is: BQ=5R c +αK v In the formula, BQ is the basic quality grading index of the surrounding rock, and R... c K represents the uniaxial saturated compressive strength of rock. v α is the rock mass integrity coefficient, and α is the weight. The value of α corresponds to the magnitude of the rock mass integrity coefficient.
3. The method for classifying and quantifying engineering surrounding rock as described in claim 1, characterized in that, The groundwater impact correction factor is obtained by means of: A water pressure test was conducted on the rock mass of the project, and the permeability was obtained based on the test results; Obtain the first groundwater influence correction coefficient corresponding to the permeability and the second groundwater influence correction coefficient corresponding to the uniaxial saturated compressive strength of the rock, and determine the current groundwater influence correction coefficient based on the first groundwater influence correction coefficient and the second groundwater influence correction coefficient.
4. The method for classifying and quantifying engineering surrounding rock as described in claim 1, characterized in that, The acquisition of the correction coefficient for the influence of the attitude of the main structural planes of the underground engineering includes: Obtain the structural planes and tunnel axes corresponding to the engineering rock mass, and determine the correction coefficients for the influence of the occurrence of the main structural planes of the underground engineering based on the structural planes and the tunnel axes.
5. The method for classifying and quantifying engineering surrounding rock as described in claim 1, characterized in that, The acquisition of the geostress influence correction coefficient includes: Obtain the uniaxial saturated compressive strength of the rock and the maximum principal stress of the ground stress corresponding to the tunnel axis, and obtain the initial ground stress state based on the uniaxial saturated compressive strength of the rock and the maximum principal stress of the ground stress; The ground stress influence correction coefficient is obtained based on the initial ground stress state.
6. The method for classifying and quantifying engineering surrounding rock as described in claim 2, characterized in that, The process of generating the target surrounding rock basic quality classification index based on the correction coefficient and the surrounding rock basic quality classification index includes: Substituting the correction coefficient into the second calculation formula, we obtain the basic quality grading index of the target surrounding rock. The second calculation formula is: [BQ]=5R c +αK v -100(K1+K2+K3) In the formula, [BQ] is the basic quality grading index of the target surrounding rock, K1 is the groundwater influence correction coefficient, K2 is the underground engineering main structural surface occurrence influence correction coefficient, and K3 is the in-situ stress influence correction coefficient.
7. The method for classifying and quantifying engineering surrounding rock as described in claim 1, characterized in that, The step of determining the classification information of the engineering rock mass based on the basic quality classification index of the target surrounding rock includes: Obtain the grading range corresponding to the target surrounding rock quality grading index, and determine the grading information based on the grading range. The number of grading ranges is seven, and the range size of each grading range is the same.
8. The method for classifying and quantifying engineering surrounding rock as described in claim 1, characterized in that, The acquisition of rock information of the engineering rock mass includes: Rock samples were collected from the engineering rock mass, and the uniaxial saturated compressive strength of the rock was obtained based on the test results of the rock samples. Determine the longitudinal wave velocity corresponding to the engineering rock mass, and calculate the rock mass integrity coefficient based on the longitudinal wave velocity.
9. An electronic device, characterized in that, The method includes a processor and a memory, the processor being communicatively connected to the memory, the memory storing program data, and the program data being used to execute the method as described in any one of claims 1-8.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is used to perform the method as described in any one of claims 1-8.