Deep soft rock tunnel surrounding rock comprehensive classification and grading method and system and electronic equipment

Abstract

The invention relates to the field of rock mechanics and rock engineering, and provides a deep soft rock tunnel surrounding rock comprehensive classification and grading method and system and electronic device.The method comprises the steps that geological information of surrounding rock of a target area is obtained, and an initial assignment value of the surrounding rock of the target area is determined based on the geological information; determining geological disaster types of the target area based on the geological information, wherein the geological disaster types comprise any two or three of soft rock large deformation, fault zone instability and high-pressure water inrush; determining an attenuation coefficient based on the geological disaster type of the target area; determining a final assignment value based on the initial assignment value and the attenuation coefficient; and grading the surrounding rock of the target area based on the final assignment value. The deep soft rock tunnel surrounding rock of the multi-disaster coupling chain disaster is comprehensively classified and graded, so that the type grade and the disaster type grade of the surrounding rock in front of the tunnel face of the tunnel are determined.

Description

Technical Field

[0001] The present invention relates to the field of rock mechanics and rock engineering technology, and in particular to a method and system for comprehensively classifying and grading surrounding rocks of deep soft rock tunnels, and electronic equipment. Background Art

[0002] Tunnels and tunnel projects are an important part of infrastructure construction. During the construction of tunnel projects, various geological disasters may occur. How to achieve scientific and effective prevention and control of geological disasters is the prerequisite for ensuring the safe and efficient excavation of tunnels or tunnel projects.

[0003] However, when formulating disaster prevention and control measures, relevant technologies mostly focus on the prevention and control of a single disaster, which results in the deficiency of passive prevention and control of "treating the symptoms rather than the root cause" and ignores the coupling chain nature between different types of disasters. The main reason for the above deficiency is that the current classification and grading of surrounding rocks is too single.

[0004] Surrounding rock classification and grading are extremely important and even decisive factors in guiding the formulation of tunnel surrounding rock stability control measures. However, most existing studies classify and grade surrounding rock stability and formulate corresponding stability control measures according to different grades of surrounding rock. When encountering disasters such as large deformation of soft rock, instability of fault zone and high-pressure surge, corresponding special control measures are formulated. Therefore, the current research has the following shortcomings: (1) The classification and grading of surrounding rock are decoupled from the classification and grading of disasters, resulting in the deficiency of passive control of "treating the symptoms rather than the root cause". It is difficult to clearly understand the surrounding rock grade, disaster type and disaster level in front of the tunnel face, which is not conducive to the early formulation of comprehensive disaster control measures; (2) When encountering disasters of different types and levels, the corresponding control measures are formulated separately, resulting in frequent design changes and low efficiency, which brings additional work burden to the designer, supervisor, construction party, cost budget / final account, etc.; (3) The classification and grading of disasters and the corresponding control measures are mostly targeted at a single type of disaster, without considering the coupling chain effect between different types of disasters. When a coupling chain disaster occurs, the control measures for a single type of disaster are at risk of failure.

[0005] Therefore, in order to solve the above-mentioned shortcomings, the present invention proposes a comprehensive classification and grading method for the surrounding rock of deep soft rock tunnels taking into account multi-disaster coupling chain disasters, so as to make the surrounding rock type level and disaster type level in front of the tunnel face clear at a glance. Summary of the Invention

[0006] The present invention provides a method and system for comprehensive classification and grading of surrounding rock in deep soft rock tunnels, and electronic equipment, so as to solve the above-mentioned defects in related technologies.

[0007] The present invention provides a comprehensive classification and grading method for surrounding rock of deep soft rock tunnels, comprising:

[0008] Acquiring geological information of surrounding rocks in a target area, and determining an initial score value of the surrounding rocks in the target area based on the geological information;

[0009] Determining the type of geological disasters in the target area based on the geological information, wherein the type of geological disasters includes any two or three of large deformation of soft rock, instability of fault zones, and high-pressure sudden water inrush;

[0010] Determining an attenuation coefficient based on the type of geological hazards in the target area;

[0011] Determining a final score based on the initial score and the attenuation coefficient;

[0012] Based on the final assigned score, the surrounding rock of the target area is classified.

[0013] According to the comprehensive classification and grading method for surrounding rocks of deep soft rock tunnels provided by the present invention, the geological disaster types are large deformation of soft rock and instability of fault zones;

[0014] Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes:

[0015] Determining a first scoring value for a large deformation hazard of soft rock in the target area and a second scoring value for a fault zone instability hazard in the target area based on geological information of the surrounding rock in the target area;

[0016] Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient;

[0017] Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient;

[0018] The attenuation coefficient is determined based on the first attenuation coefficient and the second attenuation coefficient.

[0019] According to the comprehensive classification and grading method for surrounding rocks of deep soft rock tunnels provided by the present invention, the geological disaster types are large deformation of soft rock and high-pressure sudden water inrush;

[0020] Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes:

[0021] Determining a first scoring value for a soft rock large deformation disaster in the target area and a third scoring value for a high-pressure water inrush disaster in the target area based on geological information of the surrounding rock in the target area;

[0022] Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient;

[0023] Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient;

[0024] The attenuation coefficient is determined based on the first attenuation coefficient and the third attenuation coefficient.

[0025] According to the comprehensive classification and grading method for surrounding rocks of deep soft rock tunnels provided by the present invention, the geological disaster types are fault zone instability and high-pressure water inrush;

[0026] Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes:

[0027] Determining a second scoring value for fault zone instability in the target area based on geological information of surrounding rocks in the target area, and determining a third scoring value for high-pressure water inrush hazards in the target area;

[0028] Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient;

[0029] Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient;

[0030] The attenuation coefficient is determined based on the second attenuation coefficient and the third attenuation coefficient.

[0031] According to the comprehensive classification and grading method for surrounding rocks of deep soft rock tunnels provided by the present invention, the geological disaster types are large deformation of soft rock, instability of fault zones and high-pressure water inrush;

[0032] Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes:

[0033] Based on the geological information of the surrounding rock of the target area, a first scoring value for the soft rock large deformation disaster in the target area, a second scoring value for the fault zone instability disaster in the target area, and a third scoring value for the high-pressure water inrush disaster in the target area are determined;

[0034] Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient;

[0035] Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient;

[0036] Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient;

[0037] The attenuation coefficient is determined based on the first attenuation coefficient, the second attenuation coefficient, and the third attenuation coefficient.

[0038] According to the method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels provided by the present invention, determining the first scoring value of the soft rock large deformation disaster in the target area includes:

[0039] Determine the deformation and fracture mode, deformation rate, and fracture area of ​​the tunnel surrounding rock in the target area based on the geological information;

[0040] The first scoring value is calculated based on the deformation and fracture mode of the tunnel surrounding rock, the deformation rate, the fracture area range, the first weight corresponding to the deformation and fracture mode of the tunnel surrounding rock, the second weight corresponding to the deformation rate, and the third weight corresponding to the fracture area range.

[0041] According to the method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels provided by the present invention, the second scoring value for determining the fault zone instability hazard in the target area includes:

[0042] Determining the fault zone width, fault dip, fault zone rock strength, and water conductivity of the target area based on the geological information;

[0043] The second scoring value is calculated based on the fault zone width, fault dip, fault zone rock strength, water conductivity, and the fourth weight corresponding to the fault zone width, the fifth weight corresponding to the fault dip, the sixth weight corresponding to the fault zone rock strength, and the seventh weight corresponding to the water conductivity.

[0044] According to the comprehensive classification and grading method for surrounding rocks of deep soft rock tunnels provided by the present invention, the high-pressure water inrush includes fissure water inrush, cave water inrush and fault water inrush;

[0045] The step of determining the third scoring value of the high-pressure water inrush disaster in the target area includes:

[0046] When the high-pressure sudden water inrush is a fissure sudden water inrush, the third scoring value is calculated based on the fissure water inrush volume, fissure head pressure and fissure density of the target area;

[0047] When the high-pressure sudden water inrush is a sudden water inrush from a cave, the third scoring value is calculated based on the amount of water inrush from the cave in the target area, the water head pressure of the cave, and the distance between the cave and the tunnel wall;

[0048] When the high-pressure water inrush is a fault water inrush, the third scoring value is calculated based on the fault zone water inrush, fault zone head pressure, fault width, fault dip, and distance between the fault and the tunnel wall in the target area.

[0049] The present invention also provides a comprehensive classification and grading system for surrounding rock of deep soft rock tunnels, comprising:

[0050] an information acquisition unit, configured to acquire geological information of surrounding rocks in a target area, and determine an initial score value of the surrounding rocks in the target area based on the geological information;

[0051] a disaster determination unit, configured to determine a type of geological disaster in the target area based on the geological information, wherein the type of geological disaster includes any two or three of large deformation of soft rock, instability of fault zone, and high-pressure sudden water inrush;

[0052] an attenuation coefficient determination unit, configured to determine an attenuation coefficient based on the type of geological disaster in the target area;

[0053] a scoring unit, configured to determine a final scoring value based on the initial scoring value and the attenuation coefficient;

[0054] A grading unit is used to grade the surrounding rocks of the target area based on the final assigned score.

[0055] The present invention also provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements any of the above-mentioned methods for comprehensive classification and grading of surrounding rock of deep soft rock tunnels.

[0056] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned comprehensive classification and grading methods for surrounding rock of deep soft rock tunnels.

[0057] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for comprehensive classification and grading of surrounding rock of deep soft rock tunnels.

[0058] In the comprehensive classification and grading method for surrounding rock of deep soft rock tunnels provided by the present invention, the initial scoring value and the type of geological disaster can be determined based on the geological information of the target area. The initial scoring value can characterize the geological conditions of the surrounding rock of this application. The type of geological disaster determined in this application can include multiple disasters, that is, the solution of this application is aimed at the coupled chain disasters generated when multiple disasters exist at the same time. By determining the coupled chain disaster type of the target area, the attenuation coefficient can be calculated and determined. The attenuation coefficient characterizes the impact of the disaster on the geology. By combining the initial scoring value and the attenuation coefficient, the final scoring value of the target area can be obtained. The final scoring value is the final grading standard of the surrounding rock of the target area under the influence of geological disasters. Based on this, the surrounding rock of the target area can also be classified and graded more accurately, which is convenient for subsequent targeted protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0060] Figure 1 This is one of the flow diagrams of the method for comprehensive classification and grading of surrounding rock in deep soft rock tunnels provided by an embodiment of the present invention;

[0061] Figure 2 This is the second flow chart of the method for comprehensive classification and grading of surrounding rock in deep soft rock tunnels provided by an embodiment of the present invention;

[0062] Figure 3 A schematic diagram of the scoring of deformation rates provided in an embodiment of the present invention;

[0063] Figure 4 A schematic diagram of the scoring values ​​for the rupture area range provided in an embodiment of the present invention;

[0064] Figure 5 A schematic diagram of a fault dip angle provided by an embodiment of the present invention;

[0065] Figure 6 A schematic diagram of assigning scores to fault dip angles according to an embodiment of the present invention;

[0066] Figure 7 A schematic diagram of the scoring values ​​for fault rock mass strength provided by an embodiment of the present invention;

[0067] Figure 8 A schematic diagram of the scoring values ​​of the fracture head pressure provided by an embodiment of the present invention;

[0068] Figure 9 A schematic diagram of the scoring value of crack density provided in an embodiment of the present invention;

[0069] Figure 10 A schematic diagram of the scoring value for the distance between a cave and a tunnel wall provided in an embodiment of the present invention;

[0070] Figure 11 Schematic diagram of the structure of a comprehensive classification and grading system for surrounding rock of deep soft rock tunnels provided by an embodiment of the present invention;

[0071] Figure 12 It is a schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0072] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0073] Figure 1 This is one of the flow charts of the method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels provided by an embodiment of the present invention.

[0074] like Figure 1 As shown, this embodiment provides a comprehensive classification and grading method for surrounding rock of deep soft rock tunnels, including:

[0075] Step 101: Acquire geological information of surrounding rocks in a target area, and determine an initial score value of the surrounding rocks in the target area based on the geological information;

[0076] In practical applications, the target area may be the area surrounding a deep soft rock tunnel, and the geological information obtained about the target area may include rock strength, rock integrity, structural surface status, groundwater, main structural surface attitude, deformation and fracture mode, deformation rate, fracture area range, ground stress, fault width, fault dip, fault zone rock strength, fault water-richness or water conductivity characteristics, fissure water inflow, fissure head pressure, fissure density, cave water inflow, cavity head pressure, distance between cave and tunnel wall, fault zone water inflow, fault zone head pressure, fault width, fault dip, distance between fault and tunnel wall, etc.

[0077] After obtaining geological information, the surrounding rock of the target area can be preliminarily scored based on mature methods in related technologies to obtain an initial scoring value T. For example, the initial scoring value T can be obtained by applying the method in the "Code for Geological Survey for Water Conservancy and Hydropower Engineering" GB50487-2008.

[0078] When performing preliminary scoring, the rock strength, rock integrity, structural surface status, groundwater, and main structural surface attitude in the above address information can be used as scoring standards to obtain the initial scoring value.

[0079] Step 102: determining the type of geological disaster in the target area based on the geological information, wherein the type of geological disaster includes any two or three of soft rock large deformation, fault zone instability, and high-pressure water inrush;

[0080] Figure 2 This is the second flow chart of the method for comprehensive classification and grading of surrounding rock in deep soft rock tunnels provided by an embodiment of the present invention;

[0081] like Figure 2 As shown, in actual applications, the geological information obtained in the above steps is very complete information about the target area. The above geological information can reflect whether there are geological disasters in the target area and the magnitude of the geological disasters. Among them, the deformation and fracture mode, deformation rate and fracture area range of the tunnel surrounding rock can characterize whether there is a geological disaster of large soft rock deformation in the target area, the fault zone width, fault dip, fault zone rock strength and water conductivity can characterize whether there is a geological disaster of fault zone instability in the target area, the fissure water inflow, fissure head pressure, fissure density, cave water inflow, cavity head pressure, distance between cave and tunnel wall, fault zone water inflow and fault zone head pressure can characterize whether there is a geological disaster of high-pressure sudden water inrush in the target area.

[0082] In the solution of the present application, the types of geological disasters existing in the target area can be determined based on the above-mentioned geological information. The types of geological disasters can include any two or three of large deformation of soft rock, instability of fault zone and sudden gushing of high-pressure water. For example, there can be four types of coupled chain disasters: large deformation of soft rock and instability of fault zone, large deformation of soft rock and instability of fault zone, instability of fault zone and sudden gushing of high-pressure water, and large deformation of soft rock, instability of fault zone and sudden gushing of high-pressure water.

[0083] Step 103: determining an attenuation coefficient based on the type of geological disaster in the target area;

[0084] In practical applications, the calculation method of the attenuation coefficient is different for different types of geological disasters.

[0085] In implementation, when the geological disaster type is a coupled chain disaster of large soft rock deformation and fault zone instability, a first scoring value of the large soft rock deformation disaster in the target area and a second scoring value of the fault zone instability disaster in the target area can be determined based on the geological information of the surrounding rock of the target area;

[0086] Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient;

[0087] Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient;

[0088] The attenuation coefficient is determined based on the first attenuation coefficient and the second attenuation coefficient.

[0089] When the geological disaster type is a coupled chain disaster of large soft rock deformation and high-pressure water inrush, a first scoring value for large soft rock deformation disaster in the target area and a third scoring value for high-pressure water inrush disaster in the target area can be determined based on the geological information of the surrounding rock of the target area.

[0090] Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient;

[0091] Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient;

[0092] The attenuation coefficient is determined based on the first attenuation coefficient and the third attenuation coefficient.

[0093] When the geological disaster type is a coupled chain disaster of fault zone instability and high-pressure water inrush, the second scoring value of the fault zone instability in the target area and the third scoring value of the high-pressure water inrush disaster in the target area can be determined based on the geological information of the surrounding rock of the target area;

[0094] Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient;

[0095] Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient;

[0096] The attenuation coefficient is determined based on the second attenuation coefficient and the third attenuation coefficient.

[0097] When the geological disaster type is a coupled chain disaster of soft rock large deformation, fault zone instability and high-pressure sudden water gushing, the first scoring value of the soft rock large deformation disaster in the target area, the second scoring value of the fault zone instability disaster in the target area, and the third scoring value of the high-pressure sudden water gushing disaster in the target area can be determined based on the geological information of the surrounding rock of the target area.

[0098] Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient;

[0099] Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient;

[0100] Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient;

[0101] The attenuation coefficient is determined based on the first attenuation coefficient, the second attenuation coefficient, and the third attenuation coefficient.

[0102] Step 104: determining a final score based on the initial score and the attenuation coefficient;

[0103] In practical applications, the initial score can be re-assigned according to the attenuation coefficient β, that is, the final score is obtained by multiplication, which conforms to the following formula (1):

[0104] T′=βT (1)

[0105] Step 105: Classify the surrounding rocks in the target area based on the final assigned score.

[0106] In practical applications, the standard for grading the surrounding rock in the target area can also be carried out using the method of "Code for Geological Investigation of Water Conservancy and Hydropower Engineering" GB50487-2008. For details, please refer to Table 1 below.

[0107] Table 1 Surrounding rock classification table

[0108]

[0109]

[0110] After the surrounding rock of the target area is classified, the results can not only reflect the overall category level of the surrounding rock, but also its geological hazard risk level. For example, the category level of the surrounding rock can be IV s-II+f-IV+w-III , which means that the overall category level of the surrounding rock is IV, and the subscript part means that the soft rock large deformation risk level is II, the fault instability disaster level is IV, and the sudden water gushing disaster level is III.

[0111] In an exemplary embodiment, when determining the initial scoring value of the surrounding rock of the target area based on geological information, geological information such as rock strength, rock mass integrity, structural surface state, groundwater, and main structural surface occurrence can be used as standards for preliminary scoring to determine the initial scoring value. These data can be obtained through advanced geological survey data. When rock mass integrity, structural surface state, and main structural surface occurrence are difficult to obtain through advanced geological survey data, data from the area close to the face that has been exposed can be used as a substitute; when there is a lack of ground stress data, vertical deadweight stress can be used as a substitute, as shown in the following formula (2):

[0112] σ v =λH (2)

[0113] Among them, σ v is the vertical ground stress, λ is the rock density, and H is the depth of the tunnel floor.

[0114] In an exemplary embodiment, determining a first scoring value of a soft rock large deformation hazard in the target area includes:

[0115] Determine the deformation and fracture mode, deformation rate, and fracture area of ​​the tunnel surrounding rock in the target area based on the geological information;

[0116] The first scoring value is calculated based on the deformation and fracture mode of the tunnel surrounding rock, the deformation rate, the fracture area range, the first weight corresponding to the deformation and fracture mode of the tunnel surrounding rock, the second weight corresponding to the deformation rate, and the third weight corresponding to the fracture area range.

[0117] Specifically, the first score value T of large deformation of soft rock is s The following formula is used to obtain:

[0118]

[0119] Where: T s is the first assigned score for soft rock large deformation disaster, with a total score of 100. The lower the score, the greater the risk of soft rock large deformation, and the more serious the disaster. s1 、T s2 and T s3 Scores are assigned to the deformation and fracture mode, deformation rate and fracture zone range of the tunnel surrounding rock respectively; s1, s2 and s3 are the corresponding weights respectively.s1 The scoring method is in accordance with Table 2 below:

[0120] Table 2 Corresponding table of deformation and fracture mode of tunnel surrounding rock

[0121]

[0122] Figure 3 A schematic diagram of the scoring of the deformation rate provided in an embodiment of the present invention.

[0123] Figure 4 A schematic diagram of the scoring of the rupture area range provided in an embodiment of the present invention.

[0124] In practice, when calculating the first scoring value, the scoring value corresponding to the deformation rate can refer to Figure 3 The score value corresponding to the rupture area range can be referred to Figure 4 Sure.

[0125] The tunnel deformation rate can be determined using the following formula (4):

[0126] ε(%)=100×B α (4)

[0127] Where ε is the tunnel deformation rate, that is, the ratio of the tunnel's unilateral convergence value to the tunnel radius, or the ratio of the tunnel's bilateral convergence total displacement to the tunnel diameter. When the tunnel is not circular, ε is the ratio of the tunnel's bilateral convergence value to the span in that direction. B is the fitting parameter, B = 0.00977, and α is the strength-stress ratio.

[0128] In practice, the first score value T of soft rock large deformation is calculated by the above formula (3): s Afterwards, the first attenuation coefficient corresponding to the large deformation of soft rock can be determined using the following table:

[0129] Table 3 Correspondence table of the first attenuation coefficient

[0130]

[0131] In an exemplary embodiment, determining the second scoring value of the fault zone instability hazard in the target area includes:

[0132] Determining the fault zone width, fault dip, fault zone rock strength, and water conductivity of the target area based on the geological information;

[0133] The second scoring value is calculated based on the fault zone width, fault dip, fault zone rock strength, water conductivity, and the fourth weight corresponding to the fault zone width, the fifth weight corresponding to the fault dip, the sixth weight corresponding to the fault zone rock strength, and the seventh weight corresponding to the water conductivity.

[0134] Specifically, the second scoring value can be calculated using the following formula (5):

[0135]

[0136] Where: T f The second scoring value of the fault zone instability disaster is 100. The lower the score, the greater the risk of fault zone instability and the more serious the disaster. f1 、T f2 、T f3 and T f4 The fault zone width, fault dip, fault zone rock strength and water-richness or water conductivity characteristics are assigned scores respectively; f1, f2, f3 and f4 are the corresponding weights to be determined.

[0137] Figure 5 A schematic diagram of a fault dip provided in an embodiment of the present invention.

[0138] The definition of fault dip is as follows Figure 5 As shown: when the fault is located in front of the tunnel face and the tunnel is excavated from left to right, the fault dip is acute, while when the tunnel is excavated from right to left, the fault dip is obtuse; when the fault is located on one or both sides of the tunnel, the fault dip is always ≤90°.

[0139] Where T f1 Comply with Table 4 below:

[0140] Table 4. Corresponding table of fault zone width scores

[0141]

[0142] T f4 Comply with Table 5 below:

[0143] Table 5 Water conduction points correspondence table

[0144]

[0145] Figure 6 A schematic diagram of assigning scores to fault dip angles provided in an embodiment of the present invention.

[0146] Figure 7 A schematic diagram of the scoring values ​​for fault rock mass strength provided in an embodiment of the present invention.

[0147] In practice, when calculating the first scoring value, the scoring value corresponding to the fault dip can refer to Figure 6 The score value corresponding to the fault rock mass strength can be determined by referring to Figure 7 Sure.

[0148] In practice, the first score value T of soft rock large deformation is calculated by the above formula (5): sAfterwards, the first attenuation coefficient corresponding to the large deformation of soft rock can be determined using the following table:

[0149] Table 6 Second attenuation coefficient correspondence table

[0150]

[0151] In an exemplary embodiment, the high-pressure water inrush includes fissure water inrush, cave water inrush and fault water inrush;

[0152] The step of determining the third scoring value of the high-pressure water inrush disaster in the target area includes:

[0153] When the high-pressure sudden water inrush is a fissure sudden water inrush, the third scoring value is calculated based on the fissure water inrush volume, fissure head pressure and fissure density of the target area;

[0154] When the high-pressure sudden water inrush is a sudden water inrush from a cave, the third scoring value is calculated based on the amount of water inrush from the cave in the target area, the water head pressure of the cave, and the distance between the cave and the tunnel wall;

[0155] When the high-pressure water inrush is a fault water inrush, the third scoring value is calculated based on the fault zone water inrush, fault zone head pressure, fault width, fault dip, and distance between the fault and the tunnel wall in the target area.

[0156] In actual applications, the third attenuation coefficient of high-pressure sudden water is in accordance with the following table:

[0157] Table 7 Corresponding table of the third attenuation coefficient

[0158]

[0159] Specifically, for high-pressure water inrush disasters, the type of water inrush is determined based on the water inrush pattern in the tunnel surrounding rock, including fissure water inrush, cave water inrush, and fault water inrush. Fissure water inrush is water-bearing fissures in the underground rock strata, which generally have a recharge source. The recharge source is mainly underground rivers, surface water, and other water sources far away from the tunnel. When there are caves or water-bearing faults around the tunnel or in the vicinity of the face, the water inrush type is classified as cave water inrush and fault water inrush. The characteristics of different types of water inrush are shown in the following table:

[0160] Table 7 High-pressure water surge types

[0161]

[0162] When it is determined that the high-pressure water inrush is fissure water inrush, the third scoring value can be calculated using the following formula (6):

[0163]

[0164] Where: T w Assign a score to the high-pressure water inrush disaster, with a total score of 100. The lower the score, the greater the risk of high-pressure water inrush and the more serious the disaster. w1c 、T w2c 、T w3c are the scores for fracture water inflow, fracture head pressure and fracture density respectively, w 1c 、w 2c 、w 3c are the corresponding weights respectively.

[0165] Among them, T w1c The scoring method is in accordance with Table 8 below:

[0166] Table 8 Corresponding table of fracture water inflow points

[0167]

[0168] Figure 8 A schematic diagram of the scoring values ​​of the fracture head pressure provided in an embodiment of the present invention.

[0169] Figure 9 A schematic diagram of the scoring value of crack density provided in an embodiment of the present invention.

[0170] In practice, when calculating the first scoring value, the scoring value corresponding to the fracture head pressure can refer to Figure 8 The score value corresponding to the crack density can be determined by referring to Figure 9 Sure.

[0171] When it is determined that the high-pressure sudden water is a sudden water in the cave, the third score can be calculated by the following formula (7):

[0172]

[0173] Where: T w1k 、T w2k 、T w3k The scores are respectively assigned for the water inflow of the cave, the water head pressure of the cave, and the distance between the cave and the tunnel wall, w 1k 、w 2k 、w 3k are the corresponding weights respectively.

[0174] Where: T w1k 、T w2k The calculation method of T w1c 、T w2c same.

[0175] Figure 10 A schematic diagram of the scoring values ​​for the distance between a cave and a tunnel wall provided in an embodiment of the present invention.

[0176] The score value of the distance between the cave and the tunnel wall can be referred to Figure 10 conduct.

[0177] When it is determined that the high-pressure sudden water is a fault sudden water, the third assigned score can be calculated using the following formula (8):

[0178]

[0179] Where: T w1f 、T w2f 、T w3f 、T w4f 、T w5f The scores are respectively assigned for the water inflow in the fault zone, the water head pressure in the fault zone, the fault width, the fault dip, and the distance between the fault and the tunnel wall, w 1f 、w 2f 、w 3f 、w 4f 、w 5f are the corresponding weights respectively.

[0180] Among them, T w1f 、T w2f The scoring method and T w1c 、T w2c Same; T w3f 、T w4f The scoring method and T f1 、T f2 Same; T w5f The scoring method and T w3k same.

[0181] The following describes the comprehensive classification and grading system for surrounding rock of deep soft rock tunnels provided by the present invention. The comprehensive classification and grading system for surrounding rock of deep soft rock tunnels described below and the comprehensive classification and grading method for surrounding rock of deep soft rock tunnels described above can be used for reference in correspondence with each other.

[0182] Figure 11 It is a structural schematic diagram of a comprehensive classification and grading system for surrounding rock of deep soft rock tunnels provided by an embodiment of the present invention.

[0183] like Figure 11 As shown, the comprehensive classification and grading system for surrounding rock of deep soft rock tunnels provided in this embodiment includes:

[0184] An information acquisition unit 1101 is configured to acquire geological information of surrounding rocks in a target area and determine an initial score value of the surrounding rocks in the target area based on the geological information.

[0185] A disaster determination unit 1102 is configured to determine a type of geological disaster in the target area based on the geological information, where the type of geological disaster includes any two or three of soft rock large deformation, fault zone instability, and high-pressure water inrush;

[0186] An attenuation coefficient determining unit 1103 is configured to determine an attenuation coefficient based on the type of geological disaster in the target area;

[0187] The scoring unit 1104 is configured to determine a final scoring value based on the initial scoring value and the attenuation coefficient;

[0188] The grading unit 1105 is configured to grade the surrounding rocks in the target area based on the final assigned score.

[0189] The specific implementation method of the comprehensive classification and grading system for surrounding rock of deep soft rock tunnels provided in this embodiment can be implemented with reference to the above embodiments and will not be repeated here.

[0190] Figure 12 An example of a physical structure diagram of an electronic device is shown below. Figure 12 As shown, the electronic device may include: a processor 1210, a communication interface 1220, a memory 1230, and a communication bus 1240, wherein the processor 1210, the communication interface 1220, and the memory 1230 communicate with each other via the communication bus 1240. The processor 1210 may call the logic instructions in the memory 1230 to execute a comprehensive classification and grading method for surrounding rock of a deep soft rock tunnel, which includes:

[0191] Acquiring geological information of surrounding rocks in a target area, and determining an initial score value of the surrounding rocks in the target area based on the geological information;

[0192] Determining the type of geological disasters in the target area based on the geological information, wherein the type of geological disasters includes any two or three of large deformation of soft rock, instability of fault zones, and high-pressure sudden water inrush;

[0193] Determining an attenuation coefficient based on the type of geological hazards in the target area;

[0194] Determining a final score based on the initial score and the attenuation coefficient;

[0195] Based on the final assigned score, the surrounding rock of the target area is classified.

[0196] In addition, the logic instructions in the above-mentioned memory 1230 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0197] On the other hand, the present invention further provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the comprehensive classification and grading method for surrounding rock of deep soft rock tunnels provided by the above methods, which includes:

[0198] Acquiring geological information of surrounding rocks in a target area, and determining an initial score value of the surrounding rocks in the target area based on the geological information;

[0199] Determining the type of geological disasters in the target area based on the geological information, wherein the type of geological disasters includes any two or three of large deformation of soft rock, instability of fault zones, and high-pressure sudden water inrush;

[0200] Determining an attenuation coefficient based on the type of geological hazards in the target area;

[0201] Determining a final score based on the initial score and the attenuation coefficient;

[0202] Based on the final assigned score, the surrounding rock of the target area is classified.

[0203] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels provided by the above methods, the method comprising:

[0204] Acquiring geological information of surrounding rocks in a target area, and determining an initial score value of the surrounding rocks in the target area based on the geological information;

[0205] Determining the type of geological disasters in the target area based on the geological information, wherein the type of geological disasters includes any two or three of large deformation of soft rock, instability of fault zones, and high-pressure sudden water inrush;

[0206] Determining an attenuation coefficient based on the type of geological hazards in the target area;

[0207] Determining a final score based on the initial score and the attenuation coefficient;

[0208] Based on the final assigned score, the surrounding rock of the target area is classified.

[0209] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units. That is, they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0210] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or certain parts of the embodiment.

[0211] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A comprehensive classification and grading method for surrounding rock of deep soft rock tunnels, characterized by: include: Acquiring geological information of surrounding rocks in a target area, and determining an initial score value of the surrounding rocks in the target area based on the geological information; Determining the type of geological disasters in the target area based on the geological information, wherein the type of geological disasters includes any two or three of large deformation of soft rock, instability of fault zones, and high-pressure sudden water inrush; Determining an attenuation coefficient based on the type of geological hazards in the target area; Determining a final score based on the initial score and the attenuation coefficient; Based on the final assigned score, the surrounding rock of the target area is classified.

2. The method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels according to claim 1 is characterized in that: The types of geological disasters mentioned are large deformation of soft rocks and instability of fault zones; Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes: Determining a first scoring value for a large deformation hazard of soft rock in the target area and a second scoring value for a fault zone instability hazard in the target area based on geological information of the surrounding rock in the target area; Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient; Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient; The attenuation coefficient is determined based on the first attenuation coefficient and the second attenuation coefficient.

3. The method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels according to claim 1 is characterized in that: The types of geological disasters mentioned are large deformation of soft rocks and high-pressure water inrush; Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes: Determining a first scoring value for a soft rock large deformation disaster in the target area and a third scoring value for a high-pressure water inrush disaster in the target area based on geological information of the surrounding rock in the target area; Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient; Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient; The attenuation coefficient is determined based on the first attenuation coefficient and the third attenuation coefficient.

4. The method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels according to claim 1 is characterized in that: The types of geological disasters mentioned are fault zone instability and high-pressure water inrush; Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes: Determining a second scoring value for fault zone instability in the target area based on geological information of surrounding rocks in the target area, and determining a third scoring value for high-pressure water inrush hazards in the target area; Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient; Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient; The attenuation coefficient is determined based on the second attenuation coefficient and the third attenuation coefficient.

5. The method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels according to claim 1 is characterized in that: The types of geological disasters mentioned are large deformation of soft rocks, instability of fault zones and high-pressure water inrush; Wherein, determining the attenuation coefficient based on the geological disaster type of the target area includes: Based on the geological information of the surrounding rock of the target area, a first scoring value for the soft rock large deformation disaster in the target area, a second scoring value for the fault zone instability disaster in the target area, and a third scoring value for the high-pressure water inrush disaster in the target area are determined; Determining a first attenuation coefficient of the target area based on a pre-constructed first correspondence table and the first scoring value, wherein the first correspondence table is a correspondence between the first scoring value and the first attenuation coefficient; Determining a second attenuation coefficient of the target area based on a pre-constructed second correspondence table and the second scoring value, wherein the second correspondence table is a correspondence between the second scoring value and the second attenuation coefficient; Determining a third attenuation coefficient of the target area based on a pre-constructed third correspondence table and the third scoring value, wherein the third correspondence table is a correspondence between the third scoring value and the third attenuation coefficient; The attenuation coefficient is determined based on the first attenuation coefficient, the second attenuation coefficient, and the third attenuation coefficient.

6. The method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels according to any one of claims 2, 3 or 5, characterized in that: Determining a first scoring value of the soft rock large deformation disaster in the target area includes: Determine the deformation and fracture mode, deformation rate, and fracture area of ​​the tunnel surrounding rock in the target area based on the geological information; The first scoring value is calculated based on the deformation and fracture mode of the tunnel surrounding rock, the deformation rate, the fracture area range, the first weight corresponding to the deformation and fracture mode of the tunnel surrounding rock, the second weight corresponding to the deformation rate, and the third weight corresponding to the fracture area range.

7. The method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels according to any one of claims 2, 4 or 5, characterized in that: Determining the second scoring value of the fault zone instability hazard in the target area includes: Determining the fault zone width, fault dip, fault zone rock strength, and water conductivity of the target area based on the geological information; The second scoring value is calculated based on the fault zone width, fault dip, fault zone rock strength, water conductivity, and the fourth weight corresponding to the fault zone width, the fifth weight corresponding to the fault dip, the sixth weight corresponding to the fault zone rock strength, and the seventh weight corresponding to the water conductivity.

8. The method for comprehensive classification and grading of surrounding rock of deep soft rock tunnels according to any one of claims 3, 4 or 5, characterized in that: The high-pressure water inrush includes fissure water inrush, cave water inrush and fault water inrush; The step of determining the third scoring value of the high-pressure water inrush disaster in the target area includes: When the high-pressure sudden water inrush is a fissure sudden water inrush, the third scoring value is calculated based on the fissure water inrush volume, fissure head pressure and fissure density of the target area; When the high-pressure sudden water inrush is a cave sudden water inrush, the third scoring value is calculated based on the cave water inrush volume, the cavity head pressure, and the distance between the cave and the tunnel wall in the target area; When the high-pressure water inrush is a fault water inrush, the third scoring value is calculated based on the fault zone water inrush, fault zone head pressure, fault width, fault dip, and distance between the fault and the tunnel wall in the target area.

9. Comprehensive classification and grading system for surrounding rock of deep soft rock tunnels, characterized by: include: an information acquisition unit, configured to acquire geological information of surrounding rocks in a target area, and determine an initial score value of the surrounding rocks in the target area based on the geological information; a disaster determination unit, configured to determine a type of geological disaster in the target area based on the geological information, wherein the type of geological disaster includes any two or three of large deformation of soft rock, instability of fault zone, and high-pressure sudden water inrush; an attenuation coefficient determination unit, configured to determine an attenuation coefficient based on the type of geological disaster in the target area; a scoring unit, configured to determine a final scoring value based on the initial scoring value and the attenuation coefficient; A grading unit is used to grade the surrounding rocks of the target area based on the final assigned score.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for comprehensive classification and grading of surrounding rock of a deep soft rock tunnel as described in any one of claims 1 to 8 is implemented.

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