Underwater shield tunnel waterproof system reliability evaluation platform and evaluation method

Abstract

The invention provides a reliability evaluation platform and method for an underwater shield tunnel waterproof system, and relates to the technical field of shield tunnel evaluation.The method comprises the steps that the outer surface of an underwater shield tunnel is divided into N equal-area areas, an unknown water sample in the center of each position is collected and detected in a laboratory, and inorganic data and organic data are obtained; generating a biological corrosion coefficient according to the inorganic data and the organic data; obtaining the property data of the waterproof material of the waterproof layer of the underwater shield tunnel, generating a waterproof coefficient of the waterproof layer according to the property data of the waterproof material of the waterproof layer of the underwater shield tunnel, and generating a waterproof system reliability evaluation coefficient according to the waterproof coefficient of the waterproof layer and the minimum value of the biological corrosion coefficients of all areas; and completing reliability evaluation of the tunnel waterproof system according to the waterproof system reliability evaluation coefficient. The influence of microorganisms on the waterproof system is considered, so that the reliability evaluation of the waterproof system is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of shield tunnel evaluation, and in particular to a reliability evaluation platform and evaluation method for an underwater shield tunnel waterproofing system. Background Art

[0002] In the construction of modern urban infrastructure, underwater shield tunnels, as important transportation channels, are affected by a variety of environmental factors, especially water permeability and biological corrosion. These factors may cause corrosion and damage to the tunnel structure, which seriously threatens the safety and service life of the tunnel. Existing waterproof systems mostly rely on experience and static testing, and lack dynamic and real-time evaluation methods for tunnel waterproofing performance. In addition, traditional evaluation methods often ignore the impact of biological factors in water samples on waterproof materials, and cannot fully reflect the actual reliability of the waterproof system.

[0003] In the prior art, the publication number CN118862439A discloses a reliability evaluation method and system for underwater large-diameter shield tunnel waterproofing system, which determines the reliability evaluation index and evaluation system of the shield tunnel waterproofing system; divides the reliability evaluation grade standard of the shield tunnel waterproofing system; on the basis of the reliability evaluation system of the shield tunnel waterproofing system, uses the improved hierarchical analysis to calculate the subjective weight of each evaluation index, and uses the improved CRI TIC method to calculate the objective weight of each evaluation index; and based on the game theory method, the subjective weight and the objective weight are comprehensively calculated to obtain the combined weight; introduces the cloud model into the reliability evaluation system and evaluation grade standard of the shield tunnel waterproofing system to obtain the reliability evaluation grade of the shield tunnel waterproofing system. This method is based on the combined weighting method and the cloud model to construct a full life cycle shield tunnel waterproofing reliability evaluation model to solve the fuzziness and randomness problems existing in the full life cycle shield tunnel waterproofing reliability evaluation process. However, the existing technology still has shortcomings. For the evaluation of the waterproof reliability of shield tunnels, the evaluation of the waterproof layer is an important part, and the surrounding microorganisms in the waterproof layer have a huge impact on the waterproof ability of the waterproof layer. The existing technology does not take this into account, resulting in inaccurate evaluation results of the waterproof reliability of shield tunnels.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The purpose of the present invention is to provide a coal mine supervision method and system based on video images to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A reliability assessment platform for underwater shield tunnel waterproofing system, specifically comprising:

[0008] The data acquisition module is used to divide the outer surface of the underwater shield tunnel into N areas of equal area, collect water samples from the center of each area, and test the water samples in the laboratory to obtain inorganic data and organic data;

[0009] The biological assessment module is used to calculate the hydrogen sulfide metabolism assessment coefficient based on inorganic data, generate the sulfate-reducing bacteria biological interference coefficient based on organic data; and generate the biological corrosion coefficient based on the hydrogen sulfide metabolism assessment coefficient and the sulfate-reducing bacteria interference coefficient;

[0010] A material evaluation module is used to obtain the property data of the waterproof material of the underwater shield tunnel waterproof layer, generate the waterproof coefficient of the waterproof layer according to the property data of the waterproof material of the underwater shield tunnel waterproof layer, and generate the waterproof system reliability evaluation coefficient according to the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all areas;

[0011] The comprehensive evaluation module is used to complete the reliability evaluation of the tunnel waterproofing system based on the reliability evaluation coefficient of the waterproofing system.

[0012] Further, the inorganic data include sulfate ion concentration, dissolved oxygen concentration, activation energy of the reaction of sulfate-reducing bacteria to produce hydrogen sulfide, and water sample temperature in the water sample;

[0013] The organic data include the hydroxyl concentration in organic matter, the comprehensive growth rate of sulfate-reducing bacteria and the gene abundance of sulfate-reducing bacteria; the specific logic for obtaining the comprehensive growth rate of sulfate-reducing bacteria is:

[0014] Sulphate-reducing bacteria were cultured in a water sample environment for one day, and the day was divided into 24 measurement time periods at equal intervals. The growth rate of sulphate-reducing bacteria in each measurement time period was obtained, and the average value was used as the comprehensive growth rate of sulphate-reducing bacteria. The calculation formula is as follows:

[0015]

[0016] in, is the comprehensive growth rate of sulfate-reducing bacteria, N A is the number of sulfate-reducing bacteria at the end of the Ath measurement period, N A ′ is the number of sulfate-reducing bacteria at the starting point of the Ath measurement period, and t is the duration of the measurement period;

[0017] The abundance of sulfate-reducing bacteria genes was obtained by qPCR experiments on sulfate-reducing bacteria in water samples.

[0018] Furthermore, the specific logic for generating the biocorrosion coefficient is as follows: calculating the hydrogen sulfide metabolism assessment coefficient based on inorganic data, generating the sulfate-reducing bacteria biological interference coefficient based on organic data; generating the biocorrosion coefficient based on the hydrogen sulfide metabolism assessment coefficient and the sulfate-reducing bacteria interference coefficient;

[0019] The specific logic of the hydrogen sulfide metabolic evaluation coefficient is as follows: Based on the sulfate ion concentration, dissolved oxygen concentration, activation energy of the hydrogen sulfide production reaction of sulfate-reducing bacteria and water sample temperature, the specific formula for the hydrogen sulfide metabolic evaluation coefficient is as follows:

[0020]

[0021] in, is the hydrogen sulfide metabolism assessment coefficient, is the sulfate ion concentration, C O is the dissolved oxygen concentration, Ea is the activation energy of the sulfate-reducing bacteria metabolism to produce hydrogen sulfide, R is the gas constant, and T is the water sample temperature;

[0022] The specific logic for generating the sulfate-reducing bacteria biological interference coefficient is: the sulfate-reducing bacteria biological interference coefficient is generated by analyzing the hydroxyl concentration in organic matter, the comprehensive growth rate of sulfate-reducing bacteria and the gene abundance of sulfate-reducing bacteria. The specific formula for generating the sulfate-reducing bacteria biological interference coefficient is:

[0023]

[0024] Among them, SPH is the biological interference coefficient of sulfate-reducing bacteria, C COH is the concentration of hydroxyl groups in organic matter, is the comprehensive growth rate of sulfate-reducing bacteria, GSPB is the gene abundance of sulfate-reducing bacteria;

[0025] The specific formula used to generate the biocorrosion coefficient is:

[0026]

[0027] Where KX is the biocorrosion coefficient.

[0028] Furthermore, the property data of the waterproof material of the underwater shield tunnel waterproof layer include the waterproof material permeability coefficient, elastic modulus, tensile strength, Poisson's ratio and waterproof layer thickness;

[0029] The permeability coefficient of the waterproof material is obtained through a water-filled permeability test, the elastic modulus and Poisson's ratio are obtained through a standard tensile test, and the tensile strength is obtained through a tensile testing machine.

[0030] Furthermore, the specific logic for generating the reliable evaluation coefficient of the waterproof layer system is as follows: Obtain the property data of the waterproof material for the waterproof layer of the underwater shield tunnel, generate the waterproof coefficient of the waterproof layer based on the property data of the waterproof material for the waterproof layer of the underwater shield tunnel, and generate the reliable evaluation coefficient of the waterproof layer system based on the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all regions; The specific formula for generating the waterproof coefficient of the waterproof layer is:

[0031]

[0032] Among them, KFW is the waterproof coefficient of the waterproof layer, k is the permeability coefficient of the waterproof material, E is the elastic modulus of the waterproof material, is the tensile strength of the waterproof material, σt is the compressive strength of the waterproof material, BS is the Poisson's ratio of the waterproof material, and d is the thickness of the waterproof layer;

[0033] The specific formula for generating the reliable evaluation coefficient of the waterproof layer system is:

[0034]

[0035] Among them, FWS is the generated reliable evaluation coefficient of the waterproof system, and KX min is the minimum value of the biological corrosion coefficients of all regions.

[0036] Furthermore, the specific logic for evaluating the reliability of a waterproof system for an underwater shield tunnel based on the reliable evaluation coefficient of the waterproof system is as follows: Preset the reliable evaluation threshold of the waterproof system, compare the reliable evaluation coefficient of the waterproof system with the reliable evaluation threshold of the waterproof system, define FWS < 0.6FWS0 as the reliable waterproof system, define 0.6FWS0 ≤ FWS < FWS0 as the early warning of the reliable waterproof system, and define FWS ≥ FWS0 as the unreliable waterproof system;

[0037] Among them, FWS is the generated reliable evaluation coefficient of the waterproof system, and FWS0 is the reliable evaluation threshold of the waterproof system.

[0038] The present invention further provides a method for evaluating the reliability of a waterproof system for an underwater shield tunnel, and the method is used for the reliability evaluation platform of the waterproof system for the underwater shield tunnel, and specifically includes:

[0039] Step 1: Divide the outer surface of the underwater shield tunnel into N regions with equal areas, collect water samples at the center of each region, and detect the water samples in the laboratory to obtain inorganic data and organic data;

[0040] Step 2: Calculate the hydrogen sulfide metabolism evaluation coefficient based on the inorganic data, and generate the sulfate-reducing bacteria biological interference coefficient based on the organic data; Generate the biological corrosion coefficient based on the hydrogen sulfide metabolism evaluation coefficient and the sulfate-reducing bacteria interference coefficient;

[0041] Step 3: Obtain the property data of the waterproof material of the underwater shield tunnel waterproof layer, generate the waterproof coefficient of the waterproof layer according to the property data of the waterproof material of the underwater shield tunnel waterproof layer, and generate the waterproof system reliability evaluation coefficient according to the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all areas;

[0042] Step 4: Complete the reliability assessment of the tunnel waterproofing system based on the waterproofing system reliability assessment coefficient.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention generates a biocorrosion coefficient based on inorganic and organic data of the outer surface of an underwater shield tunnel, and the biocorrosion coefficient indicates the corrosion rate or potential severity of corrosion caused by microbial activity. The introduction of this coefficient can make the reliability assessment of the waterproof system more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the overall platform structure of the present invention.

[0046] Figure 2 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0047] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0048] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0049] Example:

[0050] See also Figure 1 , the present invention provides a technical solution:

[0051] A reliability assessment platform for underwater shield tunnel waterproofing system, specifically comprising:

[0052] The data acquisition module is used to divide the outer surface of the underwater shield tunnel into N areas of equal area, collect water samples from the center of each area, and test the water samples in the laboratory to obtain inorganic data and organic data;

[0053] The inorganic data include sulfate ion concentration, dissolved oxygen concentration, activation energy of the reaction of sulfate-reducing bacteria to produce hydrogen sulfide, and water sample temperature in the water sample;

[0054] The organic data include the hydroxyl concentration in organic matter, the comprehensive growth rate of sulfate-reducing bacteria and the gene abundance of sulfate-reducing bacteria; the inorganic data and organic data are all data after maximum and minimum normalization. The specific logic for obtaining the comprehensive growth rate of sulfate-reducing bacteria is:

[0055] Sulphate-reducing bacteria were cultured in a water sample environment for one day, and the day was divided into 24 measurement time periods at equal intervals. The growth rate of sulphate-reducing bacteria in each measurement time period was obtained, and the average value was used as the comprehensive growth rate of sulphate-reducing bacteria. The calculation formula is as follows:

[0056]

[0057] in, is the comprehensive growth rate of sulfate-reducing bacteria, N A is the number of sulfate-reducing bacteria at the end of the Ath measurement period, N A ′ is the number of sulfate-reducing bacteria at the starting point of the Ath measurement period, and t is the duration of the measurement period;

[0058] The abundance of sulfate-reducing bacteria genes was obtained by qPCR experiments on sulfate-reducing bacteria in water samples.

[0059] The biological assessment module is used to calculate the hydrogen sulfide metabolism assessment coefficient based on inorganic data, generate the sulfate-reducing bacteria biological interference coefficient based on organic data; and generate the biological corrosion coefficient based on the hydrogen sulfide metabolism assessment coefficient and the sulfate-reducing bacteria interference coefficient;

[0060] The specific logic for generating the biocorrosion coefficient is as follows: the hydrogen sulfide metabolism assessment coefficient is calculated based on the inorganic data, and the sulfate-reducing bacteria biological interference coefficient is generated based on the organic data; the biocorrosion coefficient is generated based on the hydrogen sulfide metabolism assessment coefficient and the sulfate-reducing bacteria interference coefficient;

[0061] The specific logic of the hydrogen sulfide metabolic evaluation coefficient is as follows: Based on the sulfate ion concentration, dissolved oxygen concentration, activation energy of the hydrogen sulfide production reaction of sulfate-reducing bacteria and water sample temperature, the specific formula for the hydrogen sulfide metabolic evaluation coefficient is as follows:

[0062]

[0063] in, is the hydrogen sulfide metabolism assessment coefficient, is the sulfate ion concentration, C O is the dissolved oxygen concentration, Ea is the activation energy of the sulfate-reducing bacteria metabolism to produce hydrogen sulfide, R is the gas constant, and T is the water sample temperature; hydrogen sulfide is a highly corrosive substance, especially in underwater environments. When sulfate-reducing bacteria metabolize sulfate (SO4 2- ), they will generate hydrogen sulfide. The presence of hydrogen sulfide will not only directly cause chemical corrosion to waterproof materials, but also cause the physical properties of waterproof materials to deteriorate. The hydrogen sulfide metabolism assessment coefficient indicates the ability of sulfate-reducing bacteria to metabolize and produce hydrogen sulfide. The larger the coefficient, the higher the potential for hydrogen sulfide generation and the risk of corrosion. The higher the sulfate ion concentration, the greater the metabolic potential of sulfate-reducing bacteria, which affects the generation of hydrogen sulfide. Changes in dissolved oxygen concentration can affect the metabolic pathways of microorganisms. In a low-oxygen environment, the metabolic activity of sulfate-reducing bacteria will increase, which may lead to more hydrogen sulfide generation. The higher the activation energy of the reaction of sulfate-reducing bacteria to produce hydrogen sulfide, the greater the energy required for the reaction, and the less likely it is to react. Therefore, the activation energy has an important influence on the generation rate of hydrogen sulfide. Temperature affects the reaction rate. Generally, the higher the temperature, the faster the reaction rate. Therefore, temperature is an important factor in evaluating metabolic capacity.

[0064] in, Based on the Arrhenius equation, the temperature sensitivity of sulfate-reducing bacteria for reduction reaction is positively correlated with the hydrogen sulfide metabolism evaluation coefficient. Dissolved oxygen is a key factor affecting the activity of sulfate-reducing bacteria. Sulfate-reducing bacteria are a type of anaerobic microorganisms. High concentrations of dissolved oxygen will inhibit their activity and reduce the generation of H2S. Therefore, the dissolved oxygen concentration is negatively correlated with the H2S generation capacity, so it is used as the denominator in the formula.

[0065] The specific logic for generating the sulfate-reducing bacteria biological interference coefficient is: the sulfate-reducing bacteria biological interference coefficient is generated by analyzing the hydroxyl groups in the organic matter, the comprehensive growth rate of sulfate-reducing bacteria and the gene abundance of sulfate-reducing bacteria. The specific formula for generating the sulfate-reducing bacteria biological interference coefficient is:

[0066]

[0067] Among them, SPH is the biological interference coefficient of sulfate-reducing bacteria, C COH is the concentration of hydroxyl groups in organic matter, is the comprehensive growth rate of sulfate-reducing bacteria, GSPB is the gene abundance of sulfate-reducing bacteria; the sulfate-reducing bacteria biointerference coefficient reflects the degree of impact of sulfate-reducing bacteria on the environment or materials through the hydroxyl concentration in organic matter, the gene abundance of sulfate-reducing bacteria and the comprehensive growth rate. The sulfate-reducing bacteria biointerference coefficient indicates the potential impact of sulfate-reducing bacteria on the environment or materials. The higher the coefficient, the more significant the interference effect of sulfate-reducing bacteria, which will lead to serious corrosion. Sulfate-reducing bacteria need organic hydroxyl as the main energy source for hydrogen sulfide metabolism. The higher the hydroxyl concentration in organic matter, the more energy available to microorganisms in the environment, which promotes their growth and metabolic activities and increases the biointerference effect. Gene abundance reflects the number and activity of sulfate-reducing bacteria in the environment. A higher gene abundance usually means that more sulfate-reducing bacteria are present, which will enhance their impact on materials. The growth rate of sulfate-reducing bacteria under specific environmental conditions. The faster the growth rate, the more active the metabolic activity of the microorganism, and the greater the potential for generating corrosive substances (such as hydrogen sulfide).

[0068] The third fourth power is used in the formula This is to reflect the nonlinear effect of gene abundance on biological interference ability. High gene abundance usually means higher bacterial population and stronger metabolic potential, but this relationship may not be completely linear, so the third and fourth powers are used to adjust its impact. CoH , and They are all linearly positively correlated with the biological interference coefficient of sulfate-reducing bacteria, so the continuous product method is used to express their relationship with the biological interference coefficient of sulfate-reducing bacteria.

[0069] The specific formula used to generate the biocorrosion coefficient is:

[0070]

[0071] Where KX is the biocorrosion coefficient. The biocorrosion coefficient indicates the corrosion rate or potential severity of corrosion caused by microbial activity. The higher the biocorrosion coefficient, the greater the corrosion risk, which can lead to faster damage to waterproof materials. The biocorrosion coefficient is an assessment of the risk of corrosion caused by microorganisms by integrating the hydrogen sulfide generation capacity and the biological interference effect of sulfate-reducing bacteria. By monitoring and analyzing these parameters, it is possible to effectively predict and prevent biocorrosion problems that may occur in various engineering environments, so as to take corresponding protective measures. The hydrogen sulfide metabolism assessment coefficient reflects the ability of sulfate-reducing bacteria to produce hydrogen sulfide in underwater or soil environments. Hydrogen sulfide is a highly corrosive gas, so this coefficient is crucial to the impact of biocorrosion. A higher hydrogen sulfide metabolism assessment coefficient value usually means a faster rate of hydrogen sulfide generation, which may lead to more severe corrosion. The sulfate-reducing bacteria biological interference coefficient indicates the degree of impact of sulfate-reducing bacteria on the environment or substrate. This coefficient is related to the concentration of organic matter, the gene abundance of sulfate-reducing bacteria, and the comprehensive growth rate. A higher value indicates that the activity of sulfate-reducing bacteria in the environment is higher, resulting in a stronger interference effect, which may accelerate corrosion.

[0072] There is a synergistic effect between the two factors, namely the hydrogen sulfide generation capacity and the biointerference coefficient, which jointly determine the risk of biocorrosion. A high hydrogen sulfide generation capacity combined with a high biointerference coefficient usually significantly increases the severity of corrosion. Multiplying the two parameters takes into account the metabolic activity of sulfate-reducing bacteria and their influence in the environment.

[0073] A material evaluation module is used to obtain the property data of the waterproof material of the underwater shield tunnel waterproof layer, generate the waterproof coefficient of the waterproof layer according to the property data of the waterproof material of the underwater shield tunnel waterproof layer, and generate the waterproof system reliability evaluation coefficient according to the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all areas;

[0074] The waterproof material property data of the underwater shield tunnel waterproof layer include the waterproof material permeability coefficient, elastic modulus, tensile strength, Poisson's ratio and waterproof layer thickness;

[0075] The permeability coefficient of the waterproof material is obtained through a water-filled permeability test, the elastic modulus and Poisson's ratio are obtained through a standard tensile test, and the tensile strength is obtained through a tensile testing machine.

[0076] The specific logic for generating the reliable evaluation coefficient of the waterproof layer system is as follows: obtaining the property data of the waterproof material of the underwater shield tunnel waterproof layer, generating the waterproof coefficient of the waterproof layer according to the property data of the waterproof material of the underwater shield tunnel waterproof layer, and generating the reliable evaluation coefficient of the waterproof layer system according to the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all areas; the specific formula for generating the waterproof coefficient of the waterproof layer is:

[0077]

[0078] Among them, KFW is the waterproof coefficient of the waterproof layer, k is the permeability coefficient of the waterproof material, E is the elastic modulus of the waterproof material, is the tensile strength of the waterproof material, σt is the compressive strength of the waterproof material, BS is the Poisson's ratio of the waterproof material, and d is the thickness of the waterproof layer; the waterproof coefficient of the waterproof layer indicates the waterproof performance of the waterproof layer material. The larger its value, the better the waterproof effect. The material permeability coefficient reflects the material's ability to penetrate water. The lower the permeability coefficient, the better the waterproof performance of the material. The Poisson's ratio of the waterproof material indicates the ratio of the transverse to longitudinal strain of the material when it is stretched or compressed. The Poisson's ratio has a bad effect on the deformation characteristics of the material. The elastic modulus of the waterproof material reflects the material's ability to deform when subjected to force. The higher the elastic modulus, the stronger the rigidity of the material and the more effectively it can resist deformation. The compressive strength of the waterproof material indicates the maximum stress that the material can withstand when under pressure. The thicker the waterproof layer, the better the waterproof effect it usually provides; the waterproof coefficient of the waterproof layer evaluates the material's waterproof ability through the material's physical and mechanical properties (such as permeability coefficient, elastic modulus, Poisson's ratio, tensile strength, and compressive strength). A high waterproof layer waterproof coefficient value means that the waterproof layer can effectively prevent water from penetrating, thereby protecting the internal structure.

[0079] Thickness directly affects the barrier effect of the waterproof layer. Generally, the greater the thickness, the more difficult it is for water to penetrate. Therefore, thickness as part of the product can enhance the waterproof coefficient. Elastic modulus and compressive strength are important indicators for measuring the material's ability to resist deformation and withstand pressure. And their positive contributions to waterproof performance are quite similar, so they are added together and multiplied by the thickness of the waterproof layer as the numerator. Low permeability is a key characteristic of waterproof materials. The smaller the permeability coefficient, the larger the overall waterproof coefficient KFW, indicating better waterproof performance. Poisson's ratio reflects the ratio of lateral to axial strain when the material is deformed. A higher Poisson's ratio may lead to adverse deformation, which will be affected by the penetration of water. Therefore, the waterproof material permeability coefficient and the waterproof material Poisson's ratio are multiplied and used as the denominator to represent their synergistic negative impact on waterproof performance.

[0080] The specific formula for generating the reliability assessment coefficient of the waterproof layer system is:

[0081]

[0082] Among them, FWS is the reliability evaluation coefficient of the generated waterproof system, KX minis the minimum value of the biocorrosion coefficient for all regions. The reliable evaluation coefficient of the waterproof system is calculated by taking the ratio of the minimum biocorrosion coefficient to the waterproof coefficient of the waterproof layer, obtaining the overall reliability of the waterproof system under the influence of microorganisms. If the value of the reliable evaluation coefficient of the waterproof system is high, it indicates that the waterproof system can still maintain good waterproof performance when facing biocorrosion. The biocorrosion coefficient reflects the potential threat of microorganisms to the waterproof layer. If the biocorrosion coefficient is high, the waterproof layer needs to have stronger waterproof ability to resist this corrosion. The minimum biocorrosion coefficient is obtained by monitoring and evaluating the activity levels of hydrogen sulfide and sulfate-reducing bacteria. This value reflects the potential microbial corrosion risk in the environment. If the biocorrosion coefficient is high, the waterproof layer needs to have stronger waterproof ability to resist this corrosion. The reliability of the waterproof system needs to be evaluated at the least reliable location. If the waterproof system is reliable when the minimum biocorrosion coefficient occurs, undoubtedly, the overall reliability of the waterproof system is strong enough.

[0083] A comprehensive evaluation module for evaluating the reliability of the tunnel waterproof system based on the reliable evaluation coefficient of the waterproof system.

[0084] The specific logic for evaluating the reliability of an underwater shield tunnel waterproof system based on the reliable evaluation coefficient of the waterproof system is as follows: Preset a reliable evaluation threshold for the waterproof system, compare the reliable evaluation coefficient of the waterproof system with the reliable evaluation threshold of the waterproof system. Define FWS < 0.6FWS0 as the waterproof system being reliable, 0.6FWS0 ≤ FWS < FWS0 as a reliable early warning for the waterproof system, and FWS ≥ FWS0 as the waterproof system being unreliable;

[0085] where FWS is the generated reliable evaluation coefficient of the waterproof system, and FWS0 is the reliable evaluation threshold of the waterproof system.

[0086] The present invention further provides a method for evaluating the reliability of an underwater shield tunnel waterproof system. The method is used for the reliability evaluation platform of the underwater shield tunnel waterproof system, and specifically includes:

[0087] Step 1: Divide the outer surface of the underwater shield tunnel into N regions with equal areas, collect water samples at the center of each region, and detect the water samples in the laboratory to obtain inorganic data and organic data;

[0088] Step 2: Calculate the hydrogen sulfide metabolism evaluation coefficient based on the inorganic data, and generate the sulfate-reducing bacteria biological interference coefficient based on the organic data; generate the biocorrosion coefficient based on the hydrogen sulfide metabolism evaluation coefficient and the sulfate-reducing bacteria interference coefficient;

[0089] Step 3: Obtain the property data of the waterproof material of the underwater shield tunnel waterproof layer, generate the waterproof coefficient of the waterproof layer according to the property data of the waterproof material of the underwater shield tunnel waterproof layer, and generate the waterproof system reliability evaluation coefficient according to the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all areas;

[0090] Step 4: Complete the reliability assessment of the tunnel waterproofing system based on the waterproofing system reliability assessment coefficient.

[0091] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0092] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0093] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0094] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A reliability assessment platform for underwater shield tunnel waterproofing system, characterized in that: Specifically include: The data acquisition module is used to divide the outer surface of the underwater shield tunnel into N areas of equal area, collect water samples from the center of each area, and test the water samples in the laboratory to obtain inorganic data and organic data; The biological assessment module is used to calculate the hydrogen sulfide metabolism assessment coefficient based on inorganic data, generate the sulfate-reducing bacteria biological interference coefficient based on organic data; and generate the biological corrosion coefficient based on the hydrogen sulfide metabolism assessment coefficient and the sulfate-reducing bacteria interference coefficient; A material evaluation module is used to obtain the property data of the waterproof material of the underwater shield tunnel waterproof layer, generate the waterproof coefficient of the waterproof layer according to the property data of the waterproof material of the underwater shield tunnel waterproof layer, and generate the waterproof system reliability evaluation coefficient according to the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all areas; The comprehensive evaluation module is used to complete the reliability evaluation of the tunnel waterproofing system based on the reliability evaluation coefficient of the waterproofing system.

2. The underwater shield tunnel waterproofing system reliability assessment platform according to claim 1, characterized in that: The inorganic data include sulfate ion concentration, dissolved oxygen concentration, activation energy of the reaction of sulfate-reducing bacteria to produce hydrogen sulfide, and water sample temperature in the water sample; The organic data include the hydroxyl concentration in the organic matter, the comprehensive growth rate of sulfate-reducing bacteria and the gene abundance of sulfate-reducing bacteria; the specific logic for obtaining the comprehensive growth rate of sulfate-reducing bacteria is: culturing sulfate-reducing bacteria in a water sample environment for one day, dividing the day into 24 measurement time periods at equal intervals, obtaining the growth rate of sulfate-reducing bacteria in each measurement time period, and taking the average value as the comprehensive growth rate of sulfate-reducing bacteria, and the calculation formula is as follows: in, is the comprehensive growth rate of sulfate-reducing bacteria, N A is the number of sulfate-reducing bacteria at the end of the Ath measurement period, N A ′ is the number of sulfate-reducing bacteria at the starting point of the Ath measurement period, and t is the duration of the measurement period; The abundance of sulfate-reducing bacteria genes was obtained by qPCR experiments on sulfate-reducing bacteria in water samples.

3. The underwater shield tunnel waterproofing system reliability assessment platform according to claim 1, characterized in that: The specific logic for generating the biocorrosion coefficient is as follows: the hydrogen sulfide metabolism assessment coefficient is calculated based on the inorganic data, and the sulfate-reducing bacteria biological interference coefficient is generated based on the organic data; the biocorrosion coefficient is generated based on the hydrogen sulfide metabolism assessment coefficient and the sulfate-reducing bacteria interference coefficient; The specific logic of the hydrogen sulfide metabolic evaluation coefficient is as follows: Based on the sulfate ion concentration, dissolved oxygen concentration, activation energy of the hydrogen sulfide production reaction of sulfate-reducing bacteria and water sample temperature, the specific formula for the hydrogen sulfide metabolic evaluation coefficient is as follows: in, is the hydrogen sulfide metabolism assessment coefficient, is the sulfate ion concentration, C O is the dissolved oxygen concentration, Ea is the activation energy of the sulfate-reducing bacteria metabolism to produce hydrogen sulfide, R is the gas constant, and T is the water sample temperature; The specific logic for generating the sulfate-reducing bacteria biological interference coefficient is: the sulfate-reducing bacteria biological interference coefficient is generated by analyzing the hydroxyl concentration in organic matter, the comprehensive growth rate of sulfate-reducing bacteria and the gene abundance of sulfate-reducing bacteria. The specific formula for generating the sulfate-reducing bacteria biological interference coefficient is: Among them, SPH is the biological interference coefficient of sulfate-reducing bacteria, C COH is the concentration of hydroxyl groups in organic matter, is the comprehensive growth rate of sulfate-reducing bacteria, GSPB is the gene abundance of sulfate-reducing bacteria; The specific formula used to generate the biocorrosion coefficient is: Where KX is the biocorrosion coefficient.

4. The underwater shield tunnel waterproofing system reliability assessment platform according to claim 1, characterized in that: The waterproof material property data of the underwater shield tunnel waterproof layer include the waterproof material permeability coefficient, elastic modulus, tensile strength, Poisson's ratio and waterproof layer thickness; The permeability coefficient of the waterproof material is obtained through a water-filled permeability test, the elastic modulus and Poisson's ratio are obtained through a standard tensile test, and the tensile strength is obtained through a tensile testing machine.

5. The underwater shield tunnel waterproofing system reliability assessment platform according to claim 1, characterized in that: The specific logic for generating the reliable evaluation coefficient of the waterproof layer system is as follows: Obtain the property data of the waterproof materials for the waterproof layer of the underwater shield tunnel, generate the waterproof coefficient of the waterproof layer based on the property data of the waterproof materials for the waterproof layer of the underwater shield tunnel, and generate the reliable evaluation coefficient of the waterproof layer system based on the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all regions; The specific formula for generating the waterproof coefficient of the waterproof layer is: Among them, KFW is the waterproof coefficient of the waterproof layer, k is the permeability coefficient of the waterproof material, E is the elastic modulus of the waterproof material, is the tensile strength of the waterproof material, σt is the compressive strength of the waterproof material, BS is the Poisson's ratio of the waterproof material, and d is the thickness of the waterproof layer; The specific formula for generating the reliable evaluation coefficient of the waterproof layer system is: Among them, FWS is the reliability evaluation coefficient of the generated waterproof system, KX min is the minimum value of the biocorrosion coefficient of all areas.

6. The underwater shield tunnel waterproofing system reliability assessment platform according to claim 1, characterized in that: The specific logic for evaluating the reliability of a waterproof system for an underwater shield tunnel using the reliable evaluation coefficient of the waterproof system is as follows: Preset the reliable evaluation threshold of the waterproof system, compare the reliable evaluation coefficient of the waterproof system with the reliable evaluation threshold of the waterproof system, define FWS < 0.6FWS0 as the reliable waterproof system, define 0.6FWS0 ≤ FWS < FWS0 as the reliable early warning of the waterproof system, and define FWS ≥ FWS0 as the unreliable waterproof system; Among them, FWS is the generated reliable evaluation coefficient of the waterproof system, and FWS0 is the reliable evaluation threshold of the waterproof system.

7. A reliability assessment method for an underwater shield tunnel waterproofing system, characterized in that: The method is used to implement the reliability evaluation platform for the waterproof system of the underwater shield tunnel described in any one of claims 1-6, and specifically includes: Step 1: Divide the outer surface of the underwater shield tunnel into N regions with equal areas, collect water samples at the center of each region, and detect the water samples in the laboratory to obtain inorganic data and organic data; Step 2: Calculate the hydrogen sulfide metabolism evaluation coefficient based on the inorganic data, and generate the sulfate-reducing bacteria biological interference coefficient based on the organic data; Generate the biological corrosion coefficient based on the hydrogen sulfide metabolism evaluation coefficient and the sulfate-reducing bacteria interference coefficient; Step 3: Obtain the property data of the waterproof materials for the waterproof layer of the underwater shield tunnel, generate the waterproof coefficient of the waterproof layer based on the property data of the waterproof materials for the waterproof layer of the underwater shield tunnel, and generate the reliable evaluation coefficient of the waterproof system based on the minimum value of the waterproof coefficient of the waterproof layer and the biological corrosion coefficient of all regions; Step 4: Complete the evaluation of the reliability of the tunnel waterproof system based on the reliable evaluation coefficient of the waterproof system.

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