A shield tunnel ellipticity deformation risk assessment method and system

Abstract

The application discloses a risk assessment method and a system for ellipticity deformation risk assessment of a shield tunnel, and after obtaining a whole classification result of a subway tunnel by classifying the whole subway tunnel, the whole classification result of the subway tunnel is divided into multiple sections according to a preset length to obtain a tunnel external risk level, then a preset formula is used to statistically calculate tunnel body stratum conditions and compression modulus of each section to obtain a tunnel section stratum risk level, according to the tunnel section stratum risk level and a tunnel depth correction coefficient, a tunnel internal risk level is obtained, finally, according to the tunnel external risk level and the tunnel internal risk level, a comprehensive risk judgment level result is obtained, and maintenance personnel can maintain the tunnel according to the comprehensive risk judgment level result. Through comprehensive analysis of external environment, geological conditions, tunnel depth and other factors of the shield tunnel, comprehensive risk assessment of the tunnel is realized, risk assessment of the shield tunnel from internal and external aspects is realized, and the maintenance efficiency of the shield tunnel is improved.

Description

Technical Field

[0001] This invention relates to the field of tunnel construction technology, and in particular to a method and system for assessing the ellipticity deformation risk of shield tunnels. Background Technology

[0002] Compared to cut-and-cover tunnels, shield tunnels are prefabricated and assembled, resulting in weaker overall structural rigidity. When located in areas with poor geological conditions or subjected to external construction disturbances, tunnel structural deformation is common, potentially leading to train derailment. Shield tunnel deformation often manifests as settlement or horizontal deformation. Current tunnel structural deformation monitoring primarily focuses on track settlement. However, deformation caused by changes in overhead loads or lateral excavation can lead to settlement or lateral deformation. In areas with poor geological conditions or significant geological variations, tunnel structures are prone to oval-shaped deformation, but this type of deformation is difficult to monitor and identify, and there is no specific risk classification standard, making it a challenging and critical aspect of subway structural protection.

[0003] Furthermore, in measuring the ellipticity of shield tunnels, tunnel structural deformation monitoring can only measure the current deformation status at the monitoring points, but it cannot efficiently and accurately identify the ellipticity state of the shield tunnel structure. This results in passive prevention and control work only being carried out when the tunnel deformation is too large and the ellipticity changes. All these measures are somewhat delayed and reactive. In terms of safety control of shield tunnel ellipticity, there is currently no targeted safety early warning and control strategy, nor is there a rapid identification method for shield tunnel ellipticity. The structural dimensions, geological conditions, tunnel depth, and other basic information of the shield tunnel, as well as the environmental type above the tunnel, all have varying degrees of influence on the ellipticity deformation of the shield tunnel. Existing technical methods cannot form a simple and easy-to-use risk assessment method for shield tunnel ellipticity deformation, which brings many inconveniences to risk prevention and control. Summary of the Invention

[0004] This invention provides a risk assessment method and system for elliptic deformation risk assessment of shield tunnels, which can realize risk assessment of shield tunnels from internal and external aspects and improve the maintenance efficiency of shield tunnels.

[0005] To address the aforementioned technical problems, embodiments of the present invention provide a method for assessing the ellipticity deformation risk of shield tunnels, comprising:

[0006] The planar location and surrounding environmental conditions of the subway tunnel are obtained, and the subway tunnel is classified as a whole based on the planar location and surrounding environmental conditions to obtain the overall classification result of the subway tunnel;

[0007] The overall classification results of the subway tunnel are divided into multiple sections according to the preset length to obtain the external risk level of the tunnel.

[0008] By using preset formulas, the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus of the bottom of the tunnel in each section are statistically calculated to obtain the geological risk level of the tunnel section.

[0009] Based on a comprehensive analysis of the geological risk level of the tunnel section and the tunnel depth correction coefficient, the internal risk level of the tunnel is obtained.

[0010] Based on the external and internal risk levels of the tunnel, a comprehensive risk assessment result is obtained, enabling maintenance personnel to perform tunnel maintenance according to the comprehensive risk assessment result.

[0011] This embodiment acquires the planar location and surrounding environmental conditions of the subway tunnel, and classifies the tunnel as a whole based on these conditions. The overall classification result is then divided into multiple sections according to a preset length to obtain the external risk level. Preset formulas are used to statistically calculate the geological conditions and compression modulus of the tunnel body and bottom in each section, yielding the geological risk level for that section. A comprehensive analysis is then performed based on the geological risk level of each section and a tunnel depth correction coefficient to obtain the internal risk level. Finally, a comprehensive risk assessment result is obtained based on the external and internal risk levels, enabling maintenance personnel to perform tunnel maintenance accordingly. By comprehensively analyzing the external environment, geological conditions, and tunnel depth of the shield tunnel, internal and external risk classifications are established, resulting in a comprehensive risk assessment. This approach achieves risk evaluation of the shield tunnel from both internal and external perspectives, improving the efficiency of shield tunnel maintenance.

[0012] As a preferred approach, the overall classification of the subway tunnel is obtained by classifying the subway tunnel based on its horizontal location and surrounding environmental conditions. Specifically:

[0013] When a subway tunnel passes through an open space or construction site, the external risk level of the tunnel is Level 1.

[0014] When a subway tunnel passes through a municipal road, the external risk level of the tunnel is Level 2.

[0015] When a subway tunnel passes through rivers, lakes, or green spaces, the external risk level of the tunnel is level three.

[0016] When a subway tunnel passes through a road in an area with existing buildings, the external risk level of the tunnel is level four. The degree of danger of the risk level is as follows: level one is greater than level two, level two is greater than level three, and level three is greater than level four.

[0017] In implementing this embodiment, when the subway tunnel passes through open space or construction site, the external risk level of the tunnel is Level 1; when the subway tunnel passes through municipal road, the external risk level of the tunnel is Level 2; when the subway tunnel passes through river, lake, or green space, the external risk level of the tunnel is Level 3; and when the subway tunnel passes through road in an area with existing buildings, the external risk level of the tunnel is Level 4. The degree of danger of the risk level is Level 1 greater than Level 2, Level 2 greater than Level 3, and Level 3 greater than Level 4. By considering various environmental conditions that the shield tunnel may pass through, the external risk of the tunnel structure is divided into four levels, from Level 1 to Level 4, which enables risk assessment of the tunnel from the external environment.

[0018] As a preferred option, the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus at the bottom of the tunnel in each section are statistically calculated using a preset formula to obtain the geological risk level of the tunnel section, specifically:

[0019] When the tunnel body is located in soft soil, if the compression modulus / compression modulus at the bottom of the tunnel is greater than the preset value, the geological risk level can be judged as Level 1; if the compression modulus / compression modulus at the bottom of the tunnel is within the first preset range, the geological risk level can be judged as Level 2.

[0020] When the tunnel body is located in a non-soft soil stratum, if the ratio of the tunnel body compression modulus to the tunnel body compression modulus is within the second preset range, the geological risk level is determined to be level three; if the ratio is within the third preset range, the geological risk level is determined to be level four.

[0021] As the preferred option, a comprehensive analysis is conducted based on the geological risk level of the tunnel section and the tunnel depth correction coefficient to obtain the internal risk level of the tunnel, specifically:

[0022] When the depth correction factor is 1.1, the geological risk classification of the tunnel section increases by 1 level from the original geological risk level.

[0023] When the depth correction factor is 0.9, the geological risk classification of the tunnel section decreases by 1 level from the original geological risk level.

[0024] In implementing this embodiment, when the depth correction coefficient is 1.1, the geological risk classification of the tunnel section increases by 1 level from the original geological risk level; when the depth correction coefficient is 0.9, the geological risk classification of the tunnel section decreases by 1 level from the original geological risk level. This method divides the amplification coefficients for different classifications based on the tunnel burial depth, which can efficiently simplify risk assessment under different tunnel burial depth conditions.

[0025] As a preferred option, a comprehensive risk assessment result is obtained based on the external risk level and the internal risk level of the tunnel. This allows maintenance personnel to perform tunnel maintenance according to the comprehensive risk assessment result. Specifically:

[0026] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N, the overall risk of the tunnel is level N.

[0027] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+1, the overall risk of the tunnel is level N.

[0028] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+2, the overall risk of the tunnel is level N+1. When the internal risk of the tunnel is level N and the external risk of the tunnel is level N+2, the overall risk of the tunnel is level N+1.

[0029] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+3, the overall risk of the tunnel is level N+2. When the internal risk of the tunnel is level N and the external risk of the tunnel is level N+3, the overall risk of the tunnel is level N+2, where N is an integer less than or equal to 2.

[0030] As a preferred solution, to address the same technical problem, embodiments of the present invention also provide a shield tunnel ellipticity deformation risk assessment system, including an acquisition module, an external risk level judgment module, a tunnel section stratum risk level judgment module, a tunnel internal risk level judgment module, and a comprehensive risk judgment module, wherein...

[0031] The acquisition module is used to acquire the planar location and surrounding environmental conditions of the subway tunnel, and to perform an overall classification of the subway tunnel based on the planar location and surrounding environmental conditions to obtain the overall classification result of the subway tunnel;

[0032] The external risk level assessment module is used to divide the overall classification result of the subway tunnel into multiple sections according to a preset length to obtain the external risk level of the tunnel.

[0033] The tunnel section geological risk level assessment module is used to statistically calculate the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus of the tunnel bottom in each section using preset formulas, so as to obtain the geological risk level of the tunnel section.

[0034] The tunnel interior risk level assessment module is used to perform a comprehensive analysis based on the geological risk level of the tunnel section and the tunnel depth correction coefficient to obtain the tunnel interior risk level.

[0035] The comprehensive risk assessment module is used to obtain a comprehensive risk assessment level result based on the external risk level and the internal risk level of the tunnel, so that maintenance personnel can perform tunnel maintenance according to the comprehensive risk assessment level result.

[0036] As a preferred option, the geological risk classification module for the tunnel section includes a soft soil layer assessment unit and a non-soft soil layer assessment unit.

[0037] The soft soil stratum judgment unit is used to determine the geological risk level as Level 1 when the tunnel body stratum is located in soft soil stratum. If the compression modulus / compression modulus at the bottom of the tunnel is greater than a preset value, the geological risk level is determined as Level 2.

[0038] The non-soft soil layer judgment unit is used when the tunnel body strata are located in non-soft soil strata. If the tunnel body compression modulus / tunnel body compression modulus is within the second preset range, the geological risk level is judged to be level three; if the tunnel body compression modulus / tunnel body compression modulus is within the third preset range, the geological risk level is judged to be level four.

[0039] As a preferred solution, in order to solve the same technical problem, embodiments of the present invention also provide an electronic device, including: 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 the shield tunnel ellipticity deformation risk assessment method as shown in the embodiments of the present invention.

[0040] As a preferred solution, in order to solve the same technical problem, embodiments of the present invention also provide a storage medium storing a computer program, which, when executed by a processor, implements the steps of the shield tunnel ellipticity deformation risk assessment method as shown in the embodiments of the present invention. Attached Figure Description

[0041] Figure 1 : A schematic flowchart of an embodiment of the shield tunnel ellipticity deformation risk assessment method provided by the present invention;

[0042] Figure 2 : A schematic diagram of the system structure of another embodiment of the shield tunnel ellipticity deformation risk assessment method provided by the present invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Example 1

[0045] Please refer to Figure 1 The present invention provides a method for assessing the ellipticity deformation risk of a shield tunnel, comprising steps 101 to 105, the specific details of which are as follows:

[0046] Step 101: Obtain the planar location and surrounding environmental conditions of the subway tunnel, and classify the subway tunnel as a whole based on the planar location and surrounding environmental conditions to obtain the overall classification result of the subway tunnel.

[0047] Optionally, the overall classification of the subway tunnel can be obtained by classifying the subway tunnel based on its planar location and surrounding environmental conditions, as follows:

[0048] When a subway tunnel passes through an open space or construction site, the external risk level of the tunnel is Level 1.

[0049] When a subway tunnel passes through a municipal road, the external risk level of the tunnel is Level 2.

[0050] When a subway tunnel passes through rivers, lakes, or green spaces, the external risk level of the tunnel is level three.

[0051] When a subway tunnel passes through a road in an area with existing buildings, the external risk level of the tunnel is level four. The degree of danger of the risk level is as follows: level one is greater than level two, level two is greater than level three, and level three is greater than level four.

[0052] In this embodiment, a plan view of the subway shield tunnel is collected to obtain the location of the subway tunnel in the plane, thereby obtaining different environmental conditions through which the tunnel passes. These different environmental conditions can be divided into 4 levels, and the classification and types of each level are shown in the table below:

[0053] Table 1 Classification of External Environment of Tunnels

[0054] Level 1 Open space, construction site Level 2 the way Level 3 Rivers, lakes, and green spaces Level 4 Existing building area

[0055] Level 1 is open land and construction sites. This type of environment mainly consists of undeveloped or under-development conditions, and involves risks such as construction drilling, pile foundation construction, excavation and unloading, and backfilling. This type of environment has the highest risk level, with the highest degree of uncertainty and danger.

[0056] The second level is roads. This type of environment mainly consists of existing municipal roads that are subject to risks such as excavation, unloading, and backfilling due to reconstruction or expansion projects. This type of environment has a high risk level, with high uncertainty and danger.

[0057] The third level consists of rivers, lakes, and green spaces. This type of environment mainly comprises existing water bodies and natural green spaces. Under relatively stable planning conditions, the risk level of this type of environment is moderate, with moderate uncertainty and danger.

[0058] Level 4 is roads. This type of environment mainly consists of areas with existing buildings, where the surrounding environment and site conditions are relatively stable. Renovation and reconstruction projects require approval and permits before implementation. Risks such as excavation and unloading are relatively low. This type of environment has a low risk level and a low degree of uncertainty and danger.

[0059] By dividing the tunnel through different environmental conditions, a segmented diagram of the tunnel plan in the overall environment is obtained. Based on the segmented diagram, a tunnel mileage and overall classification table can be obtained, as detailed in Table 2.

[0060] Table 2 Overall Classification of Tunnels

[0061]

[0062]

[0063] Step 102: Divide the overall classification results of the subway tunnel into multiple sections according to the preset length to obtain the external risk level of the tunnel.

[0064] In this embodiment, based on the overall tunnel classification table, the tunnel that has been segmented needs to be further subdivided. For each segment, the tunnel is divided into sections of 20 meters each, and a corresponding subdivision table is formed. If the section is less than 20 meters, it can be divided into sections of 15 to 20 meters, as shown in Table 3.

[0065] Table 3 External Risk Classification Table

[0066]

[0067] Step 103: Statistically calculate the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus at the bottom of the tunnel in each section using preset formulas to obtain the geological risk level of the tunnel section.

[0068] Optionally, the geological conditions and compressibility modulus of the tunnel body and the geological conditions and compressibility modulus at the bottom of the tunnel in each section are statistically calculated using preset formulas to obtain the geological risk level of the tunnel section, specifically:

[0069] When the tunnel body is located in soft soil, if the compression modulus / compression modulus at the bottom of the tunnel is greater than the preset value, the geological risk level can be judged as Level 1; if the compression modulus / compression modulus at the bottom of the tunnel is within the first preset range, the geological risk level can be judged as Level 2.

[0070] When the tunnel body is located in a non-soft soil stratum, if the ratio of the tunnel body compression modulus to the tunnel body compression modulus is within the second preset range, the geological risk level is determined to be level three; if the ratio is within the third preset range, the geological risk level is determined to be level four.

[0071] In this embodiment, based on the tunnel section classification and referring to the longitudinal section diagram of the shield tunnel structure, the geological conditions of each shield tunnel structure can be obtained. For the tunnel body conditions, A can be used as a code, where the stratum conditions where the tunnel body is located are A1, and the compression modulus of the stratum is A2; for the tunnel bottom, B can be used as a code, where the stratum conditions at the tunnel bottom are B1, and the compression modulus of the stratum is B2.

[0072] By statistically analyzing the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus at the bottom of the tunnel in each tunnel section, a geological table for the tunnel section was formed, as detailed in Table 4.

[0073] Table 4 Stratigraphic Table of Tunnel Section

[0074]

[0075] Based on the above stratigraphic table of the tunnel sections, the stratigraphic details of each section of the tunnel are obtained.

[0076] Based on the geological strata table for the tunnel section in Table 4, the geological strata of the tunnel body and the tunnel bottom were assessed, and the final geological risk classification table is detailed in Table 5. The detailed classification method is as follows:

[0077] (1) Soft soil strata conditions

[0078] When the tunnel body is located in soft soil, it is necessary to compare the compressibility modulus of the tunnel body strata with that of the strata at the bottom of the tunnel. If the compressibility modulus B2 / A2 at the bottom of the tunnel is greater than or equal to 5, the geological risk level can be determined as Level 1; if the compressibility modulus B2 / A2 at the bottom of the tunnel is between 3 and 5, the geological risk level can be determined as Level 2.

[0079] (2) Non-soft soil strata conditions

[0080] When the tunnel body is located in a non-soft soil stratum, it is necessary to compare the compression modulus of the tunnel body stratum with the compression modulus of the stratum at the bottom of the tunnel. If the compression modulus of the tunnel body B2 / compression modulus of the tunnel body A2 = 1 to 3, the geological risk level can be judged as level three; if the compression modulus of the tunnel body B2 / compression modulus of the tunnel body A2 = 0 to 1, the geological risk level can be judged as level four.

[0081] Table 5. Stratigraphic Risk Classification Table

[0082]

[0083]

[0084] Step 104: Based on the geological risk level of the tunnel section and the tunnel depth correction coefficient, a comprehensive analysis is conducted to obtain the internal risk level of the tunnel.

[0085] Optionally, a comprehensive analysis is performed based on the geological risk level of the tunnel section and the tunnel depth correction factor to obtain the internal risk level of the tunnel, specifically:

[0086] When the depth correction factor is 1.1, the geological risk classification of the tunnel section increases by 1 level from the original geological risk level.

[0087] When the depth correction factor is 0.9, the geological risk classification of the tunnel section decreases by 1 level from the original geological risk level.

[0088] In this embodiment, a tunnel depth correction coefficient table is proposed based on the tunnel depth, as detailed in Table 6.

[0089] Table 6. Tunnel Depth Correction Coefficients

[0090] 1 >0 and ≤12m 1.1 2 >12 and ≤18m 1.0 3 >18m 0.9

[0091] Based on the depth of each tunnel section, depth modification coefficients are listed, as detailed in Table 7.

[0092] Table 7. Stratigraphic Risk Classification Table

[0093]

[0094]

[0095] Based on the geological risk classification and tunnel depth extraction results, the internal risk classification of the shield tunnel is obtained through comprehensive analysis. When the depth correction coefficient is 1.1, the geological risk increases by 1 level from the original level, with the highest level not exceeding 1. When the depth correction coefficient is 0.9, the geological risk decreases by 1 level from the original level, with the lowest level being 3.

[0096] As an example of this embodiment, according to Table 7, the tunnel length of serial number 1 is 20m, the geological risk classification is level 2, and the depth correction coefficient is 1.1. Therefore, the level is upgraded by one level based on the original level 2 result, that is, level 2 is upgraded to level 1. The internal risk classification table is detailed in Table 8.

[0097] Table 8 Internal Risk Classification Table

[0098] 1 20 Level 2 1.1 Level 1 2 20 Level 3 0.9 Level 4 3 19 Level 3 0.9 Level 4 4 20 Level 1 1.0 Level 1 5 20 Level 3 1.1 Level 2 6 20 Level 3 1.0 Level 3

[0099] Step 105: Based on the external risk level and the internal risk level of the tunnel, obtain the comprehensive risk assessment result so that maintenance personnel can perform tunnel maintenance according to the comprehensive risk assessment result.

[0100] Optionally, a comprehensive risk assessment result can be obtained based on the external risk level and the internal risk level of the tunnel, so that maintenance personnel can carry out tunnel maintenance according to the comprehensive risk assessment result. Specifically:

[0101] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N, the overall risk of the tunnel is level N.

[0102] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+1, the overall risk of the tunnel is level N.

[0103] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+2, the overall risk of the tunnel is level N+1. When the internal risk of the tunnel is level N and the external risk of the tunnel is level N+2, the overall risk of the tunnel is level N+1.

[0104] When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+3, the overall risk of the tunnel is level N+2. When the internal risk of the tunnel is level N and the external risk of the tunnel is level N+3, the overall risk of the tunnel is level N+2, where N is an integer less than or equal to 2.

[0105] In this embodiment, a comprehensive risk assessment matrix can be formed based on the relationship between internal and external risks. The comprehensive risk assessment level result can be obtained from the internal risk level and the external risk level, as detailed in Table 9.

[0106] Table 9 Comprehensive Risk Assessment Table

[0107]

[0108] The comprehensive risk results table for each section of the shield tunnel can be obtained from the external risk classification table in Table 3 and the internal risk classification table in Table 8.

[0109] Table 10 Comprehensive Risk Results

[0110]

[0111]

[0112] By acquiring the planar location and surrounding environmental conditions of the subway tunnel, and classifying the tunnel as a whole based on these conditions, an overall classification result is obtained. This overall classification result is then divided into multiple sections according to a preset length, resulting in an external risk level. Next, using preset formulas, the geological conditions and compression modulus of the tunnel body and the bottom of the tunnel are statistically calculated to obtain the geological risk level of each section. Based on the geological risk level of each section and a tunnel depth correction coefficient, a comprehensive analysis is performed to obtain the internal risk level of the tunnel. Finally, a comprehensive risk assessment result is obtained based on the external and internal risk levels, enabling maintenance personnel to perform tunnel maintenance according to the comprehensive risk assessment result. By comprehensively analyzing factors such as the external environment, geological conditions, and tunnel depth of the shield tunnel, internal and external risk classifications are established, thereby proposing a comprehensive risk assessment and realizing risk assessment of the shield tunnel from both internal and external perspectives, thus improving the maintenance efficiency of the shield tunnel.

[0113] Example 2

[0114] Accordingly, see Figure 2 , Figure 2 This is a schematic diagram of a shield tunnel elliptic deformation risk assessment system provided by the present invention. As shown in the figure, the shield tunnel elliptic deformation risk assessment system includes an acquisition module 201, an external risk level judgment module 202, a tunnel section stratum risk level judgment module 203, a tunnel internal risk level judgment module 204, and a comprehensive risk judgment module 205. The specific units of each module are as follows:

[0115] The acquisition module 201 is used to acquire the planar location of the subway tunnel and the surrounding environmental conditions, and to perform an overall classification of the subway tunnel based on the planar location of the subway tunnel and the surrounding environmental conditions to obtain the overall classification result of the subway tunnel.

[0116] The external risk level assessment module 202 is used to divide the overall classification result of the subway tunnel into multiple sections according to a preset length to obtain the external risk level of the tunnel.

[0117] The tunnel section geological risk level judgment module 203 is used to statistically calculate the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus of the bottom of the tunnel in each section using a preset formula, so as to obtain the geological risk level of the tunnel section.

[0118] The tunnel interior risk level assessment module 204 is used to perform a comprehensive analysis based on the geological risk level of the tunnel section and the tunnel depth correction coefficient to obtain the tunnel interior risk level.

[0119] The comprehensive risk assessment module 205 is used to obtain a comprehensive risk assessment level result based on the external risk level and the internal risk level of the tunnel, so that maintenance personnel can perform tunnel maintenance based on the comprehensive risk assessment level result.

[0120] Optionally, the tunnel section geological risk level assessment module 203 includes a soft soil layer assessment unit 2031 and a non-soft soil layer assessment unit 2032.

[0121] The soft soil stratum judgment unit 2031 is used to determine the geological risk level as Level 1 when the tunnel body stratum is located in soft soil stratum and the compression modulus / compression modulus at the bottom of the tunnel is greater than a preset value; and to determine the geological risk level as Level 2 when the compression modulus / compression modulus at the bottom of the tunnel is within the first preset range.

[0122] The non-soft soil layer judgment unit 2032 is used to determine the geological risk level as level three when the tunnel body stratum is located in a non-soft soil layer, if the tunnel body compression modulus / tunnel body compression modulus is within the second preset range; if the tunnel body compression modulus / tunnel body compression modulus is within the third preset range, the geological risk level can be determined as level four.

[0123] Optionally, the present invention also provides an electronic device, a memory, and a processor for storing a computer program and implementing the shield tunnel ellipticity deformation risk assessment method as described in Embodiment 1 when executing the computer program.

[0124] Optionally, the present invention also provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the shield tunnel ellipticity deformation risk assessment method as described in Embodiment 1.

[0125] The aforementioned shield tunnel elliptic deformation risk assessment system can implement one of the shield tunnel elliptic deformation risk assessment methods described in the above-described method embodiments. The options in the above method embodiments are also applicable to this embodiment, and will not be detailed here. The remaining content of this application embodiment can be referred to the content of the above method embodiments, and will not be repeated in this embodiment.

[0126] For a more detailed explanation of the working principle and procedures of this embodiment, please refer to the relevant description in Embodiment 1.

[0127] Compared to existing technologies, this method obtains the planar location and surrounding environmental conditions of the subway tunnel, and then classifies the tunnel as a whole based on these conditions. The overall classification result is then divided into multiple sections according to a preset length to obtain the external risk level. Next, a preset formula is used to statistically calculate the geological conditions and compression modulus of the tunnel body and the bottom of each section to obtain the geological risk level of that section. A comprehensive analysis is then performed based on the geological risk level of each section and a tunnel depth correction coefficient to obtain the internal risk level. Finally, a comprehensive risk assessment result is obtained based on the external and internal risk levels, allowing maintenance personnel to perform tunnel maintenance accordingly. By comprehensively analyzing factors such as the external environment, geological conditions, and tunnel depth of the shield tunnel, internal and external risk classifications are established, thus proposing a comprehensive risk assessment. This achieves risk assessment of the shield tunnel from both internal and external perspectives, improving the efficiency of shield tunnel maintenance.

[0128] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for assessing the ellipticity deformation risk of a shield tunnel, characterized in that, include: The planar location and surrounding environmental conditions of the subway tunnel are obtained, and the subway tunnel is classified as a whole based on the planar location and surrounding environmental conditions to obtain the overall classification result of the subway tunnel; The overall classification results of the subway tunnel are divided into multiple sections according to a preset length to obtain the external risk level of the tunnel. By using preset formulas, the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus of the bottom of the tunnel in each section are statistically calculated to obtain the geological risk level of the tunnel section. Based on a comprehensive analysis of the geological risk level of the tunnel section and the tunnel depth correction coefficient, the internal risk level of the tunnel is obtained. Based on the external risk level and the internal risk level of the tunnel, a comprehensive risk assessment result is obtained, so that maintenance personnel can perform tunnel maintenance according to the comprehensive risk assessment result; The method involves statistically calculating the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus at the bottom of the tunnel in each section using a preset formula, to obtain the geological risk level of the tunnel section. Specifically: When the tunnel body is located in soft soil, if the compression modulus at the bottom of the tunnel divided by the compression modulus of the tunnel body is greater than a preset value, the geological risk level can be determined as Level 1; if the compression modulus at the bottom of the tunnel divided by the compression modulus of the tunnel body is within a first preset range, the geological risk level can be determined as Level 2. When the tunnel body is located in a non-soft soil stratum, if the compression modulus of the tunnel bottom divided by the compression modulus of the tunnel body falls within a second preset range, the geological risk level is determined to be level three; if the compression modulus of the tunnel bottom divided by the compression modulus of the tunnel body falls within a third preset range, the geological risk level is determined to be level four.

2. The method for assessing the ellipticity deformation risk of shield tunnels as described in claim 1, characterized in that, The overall classification of the subway tunnel based on its planar location and surrounding environmental conditions yields the following results: When a subway tunnel passes through an open space or construction site, the external risk level of the tunnel is Level 1. When the subway tunnel passes through a municipal road, the external risk level of the tunnel is Level 2. When the subway tunnel passes through rivers, lakes, or green spaces, the external risk level of the tunnel is Level 3. When the subway tunnel passes through a road in an area with existing buildings, the external risk level of the tunnel is level four, wherein the degree of danger of the risk level is level one greater than level two, level two greater than level three, and level three greater than level four.

3. The method for assessing the ellipticity deformation risk of shield tunnels as described in claim 1, characterized in that, The risk level inside the tunnel is obtained by comprehensively analyzing the geological risk level of the tunnel section and the tunnel depth correction coefficient, specifically as follows: When the depth correction factor is 1.1, the geological risk classification of the tunnel section increases by 1 level from the original geological risk level. When the depth correction factor is 0.9, the geological risk classification of the tunnel section decreases by 1 level from the original geological risk level.

4. The method for assessing the ellipticity deformation risk of shield tunnels as described in claim 1, characterized in that, The process involves obtaining a comprehensive risk assessment level based on the external and internal risk levels of the tunnel, enabling maintenance personnel to perform tunnel maintenance according to this comprehensive risk assessment level. Specifically: When the external risk of the tunnel is level N and the internal risk of the tunnel is level N, the overall risk of the tunnel is level N. When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+1, the overall risk of the tunnel is level N. When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+2, the overall risk of the tunnel is level N+1. When the internal risk of the tunnel is level N and the external risk of the tunnel is level N+2, the overall risk of the tunnel is level N+1. When the external risk of the tunnel is level N and the internal risk of the tunnel is level N+3, the overall risk of the tunnel is level N+2. When the internal risk of the tunnel is level N and the external risk of the tunnel is level N+3, the overall risk of the tunnel is level N+2, where N is an integer less than or equal to 2.

5. A shield tunnel ellipticity deformation risk assessment system, characterized in that, The method for assessing the ellipticity deformation risk of a shield tunnel as described in any one of claims 1-4 includes an acquisition module, an external risk level judgment module, a tunnel section geological risk level judgment module, a tunnel internal risk level judgment module, and a comprehensive risk judgment module, wherein... The acquisition module is used to acquire the planar location of the subway tunnel and the surrounding environmental conditions, and to perform an overall classification of the subway tunnel based on the planar location of the subway tunnel and the surrounding environmental conditions to obtain the overall classification result of the subway tunnel. The external risk level judgment module is used to divide the overall classification result of the subway tunnel into multiple sections according to a preset length to obtain the external risk level of the tunnel. The tunnel section geological risk level judgment module is used to statistically calculate the geological conditions and compression modulus of the tunnel body and the geological conditions and compression modulus of the bottom of the tunnel in each section using a preset formula, so as to obtain the geological risk level of the tunnel section. The tunnel internal risk level determination module is used to perform a comprehensive analysis based on the geological risk level of the tunnel section and the tunnel depth correction coefficient to obtain the tunnel internal risk level. The comprehensive risk assessment module is used to obtain a comprehensive risk assessment level result based on the external risk level and the internal risk level of the tunnel, so that maintenance personnel can perform tunnel maintenance based on the comprehensive risk assessment level result; The geological risk level module for the tunnel section includes a soft soil layer assessment unit and a non-soft soil layer assessment unit. The soft soil stratum judgment unit is used to determine the geological risk level as Level 1 when the tunnel body stratum is located in soft soil stratum, if the compression modulus of the tunnel bottom divided by the compression modulus of the tunnel body is greater than a preset value; if the compression modulus of the tunnel bottom divided by the compression modulus of the tunnel body is within a first preset range, the geological risk level is determined as Level 2. The non-soft soil layer determination unit is used to determine the geological risk level as level three when the tunnel body stratum is located in a non-soft soil layer, if the compression modulus of the tunnel bottom divided by the compression modulus of the tunnel body is within a second preset range; if the compression modulus of the tunnel bottom divided by the compression modulus of the tunnel body is within a third preset range, the geological risk level can be determined as level four.

6. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor is configured to implement the shield tunnel elliptic deformation risk assessment method as described in any one of claims 1 to 4 when executing the computer program.

7. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the shield tunnel elliptic deformation risk assessment method as described in any one of claims 1 to 4.

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