Method and apparatus for determining crack arrest index value of co 2 pipeline, and electronic device

Abstract

Provided in the present application are a method and apparatus for determining a crack arrest index value of a CO2 pipeline, and an electronic device. The method comprises: firstly, performing numerical simulation on the basis of set operating condition information of a CO2 pipeline to acquire at least one key parameter affecting a crack propagation speed of the CO2 pipeline, and a first relationship graph; then, on the basis of a full-scale blast test database, acquiring a second relationship graph, thereby acquiring a crack propagation speed prediction formula; for each key parameter, taking different values under the same operating condition, and on the basis of the crack propagation speed prediction formula, determining crack propagation speeds, thereby acquiring a crack propagation speed curve and a decompression curve; and finally, on the basis of the crack propagation speed curve and the decompression curve corresponding to each key parameter, determining a crack arrest index of each key parameter. The technical solution achieves the technical effects of effectively evaluating the safety of the CO2 pipeline under different operating conditions, and economically and efficiently acquiring the crack arrest index value of the CO2 pipeline.

Description

Methods, devices, and electronic equipment for determining the crack arrest index value of CO2 pipelines

[0001] This application claims priority to Chinese Patent Application No. 202510205405.7, filed on February 24, 2025, entitled “Method, Apparatus and Electronic Equipment for Determining the Crack Arrest Index Value of CO2 Pipeline”, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of CO2 pipeline technology, and in particular to a method, apparatus and electronic equipment for determining the crack arrest index value of CO2 pipeline. Background Technology

[0003] CO2 (Carbon dioxide) transportation is a key link in the carbon capture, utilization and storage (CCUS) industry chain, connecting CO2 capture and storage. In the fracture design of CO2 pipelines, the calculation of pipeline crack propagation rate is a key factor affecting the accuracy of crack arrest calculation.

[0004] In existing technologies, the crack arrest performance of CO2 pipelines can be evaluated by using a modified Battelle crack arrest calculation model for natural gas, CO2 decompression wave saturation pressure, and full-scale burst tests, thereby determining the crack arrest index value of CO2 pipelines.

[0005] However, the above methods have technical problems such as the complexity of determining the crack arrest index value of CO2 pipelines, high cost, and excessive conservatism. Summary of the Invention

[0006] This application provides a method, apparatus, and electronic device for determining the crack arrest index value of CO2 pipelines, in order to solve the problems of complex and costly process in determining the crack arrest index value of CO2 pipelines in the prior art.

[0007] In a first aspect, embodiments of this application provide a method for determining the crack arrest index value of a CO2 pipeline, including:

[0008] Numerical simulation is performed based on the set operating conditions of the CO2 pipeline to obtain at least one key parameter affecting the crack propagation rate of the CO2 pipeline, as well as a first relationship diagram. The first relationship diagram is used to represent the relationship between the comprehensive characterization parameter of the pipeline crack propagation rate simulated based on the set operating conditions and the dynamic crack arrest ratio.

[0009] Based on a full-scale burst test database, a second relationship graph is obtained. The second relationship graph is used to represent the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate obtained from actual burst tests and the dynamic crack arrest ratio.

[0010] Fit the first relationship diagram and the second relationship diagram to obtain the crack propagation rate prediction formula;

[0011] For each key parameter, different values ​​are taken for the key parameter under the same working condition, and the crack propagation rate corresponding to each value is determined according to the crack propagation rate prediction formula, so as to obtain the crack propagation rate curve and the decompression curve.

[0012] Based on the crack propagation rate curve and decompression curve corresponding to each key parameter, the crack arrest index corresponding to each key parameter is determined.

[0013] In one possible implementation, fitting the first relationship graph and the second relationship graph to obtain the crack propagation rate prediction formula includes:

[0014] The first and second relationship diagrams are merged into the same sub-diagram, and the parameters of the comprehensive characterization parameters of the pipeline crack propagation rate are adjusted until the first and second relationship diagrams achieve the best fitting effect. The best curve parameters are obtained based on the fitting results.

[0015] Based on the optimal curve parameters, the crack propagation rate prediction formula is obtained.

[0016] In one possible implementation, obtaining the crack propagation rate prediction formula based on the optimal curve parameters includes:

[0017] Based on the optimal curve parameters, obtain the formula for predicting the initial crack propagation rate;

[0018] The working condition information from the full-size blasting test database is input into the initial crack propagation rate prediction formula to calculate the predicted crack propagation rate.

[0019] The error is compared between the actual crack propagation velocity corresponding to the working condition information in the full-size blasting test database and the predicted crack propagation velocity.

[0020] When the error between the actual crack propagation rate and the predicted crack propagation rate is less than a preset error, the initial crack propagation rate prediction formula is determined as the crack propagation rate prediction formula.

[0021] In one possible implementation, the at least one key parameter includes at least one of pipe wall thickness, pipe diameter, and pipe toughness.

[0022] In one possible implementation, the numerical simulation based on the established operating conditions of the CO2 pipeline to obtain at least one key parameter affecting the crack propagation rate of the CO2 pipeline, and a first relationship diagram, includes:

[0023] The operating conditions of the CO2 pipeline are numerically simulated to obtain data information corresponding to different parameters under different operating conditions. The data information includes crack propagation rate and crack propagation time.

[0024] Using pre-set drawing software, a graph showing the relationship between dynamic crack arrest ratio and pipeline crack propagation rate is drawn based on data information corresponding to different parameters simulated under different working conditions.

[0025] Based on the influence diagram, at least one key parameter that affects the crack propagation rate of the CO2 pipeline is determined.

[0026] The data information corresponding to the key parameters simulated under the same working condition is standardized, and the first relationship diagram is drawn by using preset drawing software based on the standardized data information corresponding to each working condition.

[0027] In one possible implementation, obtaining the second relationship graph based on a full-scale blasting test database includes:

[0028] Crack propagation rate and crack propagation time corresponding to key parameters under different working conditions were obtained from the full-size blasting test database.

[0029] The data information corresponding to the key parameters obtained from the test under the same working condition is standardized, and the second relationship diagram is drawn by using preset drawing software based on the standardized data information corresponding to each working condition.

[0030] In one possible implementation, determining the crack arrest index corresponding to each key parameter based on the crack propagation rate curve and decompression curve corresponding to each key parameter includes:

[0031] For each key parameter, the value of the key parameter at the tangent point between the crack propagation rate curve and the decompression curve corresponding to the key parameter is used as the crack arrest index corresponding to the key parameter.

[0032] Secondly, embodiments of this application provide a device for determining the crack arrest index value of a CO2 pipeline, comprising:

[0033] The first acquisition module is used to perform numerical simulation based on the set operating condition information of the CO2 pipeline, to acquire at least one key parameter affecting the crack propagation rate of the CO2 pipeline, and a first relationship diagram, which is used to represent the relationship between the comprehensive characterization parameter of the pipeline crack propagation rate simulated based on the set operating condition information and the dynamic-crack arrest ratio.

[0034] The second acquisition module is used to acquire a second relationship diagram based on a full-size burst test database. The second relationship diagram is used to represent the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate obtained based on actual burst tests and the dynamic-crack arrest ratio.

[0035] The third acquisition module is used to fit the first relationship diagram and the second relationship diagram to obtain the crack propagation rate prediction formula;

[0036] The processing module is used to take different values ​​for each key parameter under the same working condition, and determine the crack propagation rate corresponding to each value according to the crack propagation rate prediction formula, and obtain the crack propagation rate curve and the decompression curve.

[0037] The determination module is used to determine the crack arrest index corresponding to each key parameter based on the crack propagation rate curve and decompression curve corresponding to each key parameter.

[0038] In one possible implementation, the third acquisition module is specifically used for:

[0039] The first and second relationship diagrams are merged into the same sub-diagram, and the parameters of the comprehensive characterization parameters of the pipeline crack propagation rate are adjusted until the first and second relationship diagrams achieve the best fitting effect. The best curve parameters are obtained based on the fitting results.

[0040] Based on the optimal curve parameters, the crack propagation rate prediction formula is obtained.

[0041] In one possible implementation, the third acquisition module obtains the crack propagation rate prediction formula based on the optimal curve parameters, specifically for:

[0042] Based on the optimal curve parameters, obtain the formula for predicting the initial crack propagation rate;

[0043] The working condition information from the full-size blasting test database is input into the initial crack propagation rate prediction formula to calculate the predicted crack propagation rate.

[0044] The error is compared between the actual crack propagation velocity corresponding to the working condition information in the full-size blasting test database and the predicted crack propagation velocity.

[0045] When the error between the actual crack propagation rate and the predicted crack propagation rate is less than a preset error, the initial crack propagation rate prediction formula is determined as the crack propagation rate prediction formula.

[0046] In one possible implementation, the at least one key parameter includes at least one of pipe wall thickness, pipe diameter, and pipe toughness.

[0047] In one possible implementation, the first acquisition module is specifically used for:

[0048] The operating conditions of the CO2 pipeline are numerically simulated to obtain data information corresponding to different parameters under different operating conditions. The data information includes crack propagation rate and crack propagation time.

[0049] Using pre-set drawing software, a graph showing the relationship between dynamic crack arrest ratio and pipeline crack propagation rate is drawn based on data information corresponding to different parameters simulated under different working conditions.

[0050] Based on the influence diagram, at least one key parameter that affects the crack propagation rate of the CO2 pipeline is determined.

[0051] The data information corresponding to the key parameters simulated under the same working condition is standardized, and the first relationship diagram is drawn by using preset drawing software based on the standardized data information corresponding to each working condition.

[0052] In one possible implementation, the second acquisition module is specifically used for:

[0053] Crack propagation rate and crack propagation time corresponding to key parameters under different working conditions were obtained from the full-size blasting test database.

[0054] The data information corresponding to the key parameters obtained from the test under the same working condition is standardized, and the second relationship diagram is drawn by using preset drawing software based on the standardized data information corresponding to each working condition.

[0055] In one possible implementation, the determining module is specifically used for:

[0056] For each key parameter, the value of the key parameter at the tangent point between the crack propagation rate curve and the decompression curve corresponding to the key parameter is used as the crack arrest index corresponding to the key parameter.

[0057] Thirdly, embodiments of this application provide an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0058] The memory stores computer-executed instructions;

[0059] The processor executes computer execution instructions stored in the memory to implement the method as described in the first aspect or any of the above methods.

[0060] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method described in the first aspect or any of the above-described methods.

[0061] Fifthly, embodiments of this application provide a computer program, the computer program product including a computer program stored in a computer-readable storage medium, at least one processor can read the computer program from the computer-readable storage medium, and the at least one processor can implement the method described in the first aspect or any of the above methods when executing the computer program.

[0062] The method, apparatus, and electronic equipment for determining the crack arrest index value of CO2 pipelines provided in this application embodiment first perform numerical simulation based on the set operating condition information of the CO2 pipeline to obtain at least one key parameter affecting the crack propagation rate of the CO2 pipeline, and a first relationship graph. Then, based on a full-size burst test database, a second relationship graph is obtained. The first and second relationship graphs are fitted to obtain a crack propagation rate prediction formula. For each key parameter, different values ​​are taken for the key parameter under the same operating condition, and the crack propagation rate corresponding to each value is determined according to the crack propagation rate prediction formula. Crack propagation rate curves and decompression curves are obtained. Finally, based on the crack propagation rate curves and decompression curves corresponding to each key parameter, the crack arrest index corresponding to each key parameter is determined. This technical solution predicts the crack propagation rate of CO2 pipelines by establishing a mathematical model. By fitting the relationship between the comprehensive characterization parameters of pipeline crack propagation rate obtained from numerical simulation and actual explosion test and the dynamic-crack arrest ratio, the crack propagation rate prediction formula is determined. Furthermore, by combining the crack propagation rate curves and decompression curves corresponding to different values ​​of key parameters, the crack arrest index of the pipeline is determined. This achieves the technical effect of effectively evaluating the safety of CO2 pipelines under different operating conditions and obtaining the crack arrest index value of CO2 pipelines in a cost-effective manner. Attached Figure Description

[0063] Figure 1 is a flowchart illustrating the method for determining the crack arrest index value of a CO2 pipeline according to an embodiment of this application.

[0064] Figure 2 is a schematic flowchart of the method for determining the crack arrest index value of CO2 pipeline provided in the embodiments of this application;

[0065] Figure 3 is a combined diagram of the first and second relationship diagrams provided in an embodiment of this application;

[0066] Figure 4 is a flowchart illustrating the method for determining the crack arrest index value of CO2 pipelines according to an embodiment of this application.

[0067] Figure 5 shows the relationship between the dynamic crack arrest ratio and the crack propagation rate of the pipe and the wall thickness and pipe diameter provided in the embodiments of this application.

[0068] Figure 6 is a flowchart illustrating the method for determining the crack arrest index value of CO2 pipelines according to an embodiment of this application.

[0069] Figure 7 is a schematic diagram of the device for determining the crack arrest index value of CO2 pipeline provided in the embodiment of this application;

[0070] Figure 8 is a schematic diagram of the structure of the electronic device provided in the embodiment of this application. Detailed Implementation

[0071] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0072] Before introducing the embodiments of this application, the application background of the embodiments of this application will be explained first:

[0073] CO2 transportation is a crucial link in the CCUS (Capture, Storage, and Retrieval) industry chain, connecting CO2 capture and storage. The efficiency and cost of CO2 transportation directly impact the overall scale and economic benefits of CCUS. Currently, most CCUS projects rely on truck transportation for carbon source supply, with only a few oilfield projects using pipelines. Furthermore, existing CO2 pipelines are relatively short in length and have limited capacity, all involving gas-phase transport. Compared to the international CCUS industry, my country's CO2 transportation efficiency is lower and costs are higher. To improve CO2 transportation capacity, increase efficiency, reduce costs, and meet the future development needs of the CCUS industry, a more economical CO2 transportation method—supercritical CO2 pipeline transportation—is needed. When transporting supercritical CO2, the pipeline operates under constant high pressure, making the pipe material extremely sensitive to defects, prone to crack initiation and propagation, leading to severe pipeline failure and rupture accidents. Although CO2 is not as flammable or explosive as hydrides, it is an asphyxiating gas. Once a pipeline ruptures, a large-scale CO2 leak will cause serious hazards. Therefore, effective control of CO2 pipeline crack prevention is of paramount importance.

[0074] In the fracture design of CO2 pipelines, the calculation of crack propagation rate is a key factor affecting the accuracy of crack arrest calculation. my country has accumulated rich experience in long-distance oil and gas pipeline transportation. However, due to the significant differences in the physical properties of CO2 compared to natural gas, crack propagation rate calculation models for natural gas pipelines cannot be directly applied to CO2 pipelines. A comprehensive analysis of the decompression characteristics of the transported medium and the crack propagation situation is necessary to determine reasonable crack arrest toughness requirements for CO2 pipeline engineering.

[0075] In existing technologies, the crack arrest performance of CO2 pipelines can be evaluated by using a modified Battelle crack arrest calculation model for natural gas, the saturation pressure of the CO2 decompression wave platform, and full-scale burst tests, thereby determining the crack arrest index value of CO2 pipelines.

[0076] However, the above methods have technical problems such as the complexity of determining the crack arrest index value of CO2 pipelines, high cost, and excessive conservatism.

[0077] To address the technical problems existing in the prior art, the inventors of this application propose the following solution: For the issues of complex and costly determination of crack arrest index values ​​for CO2 pipelines, and the past conservative use of such indices, a simplified gas decompression model developed in-house can be used for numerical simulation. This model can be combined with an existing full-scale explosion test database to simplify the determination process of crack arrest index values ​​for CO2 pipelines and reduce costs. Specifically, numerical simulation is performed on the set operating conditions of the CO2 pipeline to obtain key parameters. Based on these key parameters, a first relationship diagram (i.e., the relationship between the comprehensive characterization parameters of pipeline crack propagation rate and the dynamic crack arrest ratio) is plotted. A corresponding second relationship diagram is obtained based on the full-scale explosion test database. Then, the first and second relationship diagrams are fitted to obtain a crack propagation rate prediction formula. The crack propagation rate value for each key parameter under the same operating condition is obtained according to the prediction formula. Finally, the crack arrest index corresponding to each key parameter is determined based on the obtained crack propagation rate and decompression curve.

[0078] It is worth noting that the application fields of the method, device and electronic equipment for determining the crack arrest index value of CO2 pipelines in this application are not limited.

[0079] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0080] Figure 1 is a flowchart illustrating a method for determining the crack arrest index value of a CO2 pipeline according to an embodiment of this application. As shown in Figure 1, the method may include the following steps:

[0081] Step 11: Perform numerical simulation based on the set operating conditions of the CO2 pipeline to obtain at least one key parameter affecting the crack propagation rate of the CO2 pipeline, as well as the first relationship diagram.

[0082] Among them, the first relationship diagram is used to represent the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate simulated based on the set working condition information and the dynamic crack arrest ratio;

[0083] In this step, numerical simulation is used to simulate the pre-set operating conditions of the CO2 pipeline, obtain the crack propagation rate under different operating conditions, and determine at least one key parameter affecting the crack propagation rate of the CO2 pipeline. This yields a comprehensive characterization parameter of the pipeline crack propagation rate simulated based on the set operating conditions and a relationship diagram between the dynamic-crack arrest ratio, which is used to evaluate the pipeline's crack propagation resistance under different operating conditions.

[0084] Numerical simulation can include finite element analysis, extended finite element analysis, fluid-structure interaction simulation, etc. Operating information for the CO2 pipeline can include the pipeline outer diameter, pipe wall thickness, pipe material toughness, CO2 flow pressure, and temperature. The dynamic-crack arrest ratio is the ratio of dynamic pressure to crack arrest pressure; the dynamic-crack arrest ratio in the first relationship diagram is the dimensionless version.

[0085] In one possible implementation, the embodiments of this application employ finite element analysis to numerically simulate the operating conditions of a given CO2 pipeline.

[0086] In one possible implementation, the value range of the operating condition information for the CO2 pipeline is set as shown in the table below:

[0087] Table 1

[0088] In one possible implementation, the operating conditions of a CO2 pipeline are set as follows: pipeline diameter DN150mm, wall thickness 15mm, pipeline toughness 500J, delivery pressure 8MPa, and pipeline slope 2 degrees.

[0089] Optionally, at least one of the key parameters in step 11 includes at least one of pipe wall thickness, pipe diameter, and pipe toughness.

[0090] Under this implementation, the influence of various parameters on crack propagation rate under different working conditions obtained after numerical simulation is used. By comparing the influence of each parameter on crack propagation rate, it is determined that the key parameter affecting the crack propagation rate of CO2 pipeline is at least one of pipeline wall thickness, pipeline diameter, and pipe toughness.

[0091] In one possible implementation, key parameters affecting the crack propagation rate of CO2 pipelines include pipe wall thickness, pipe diameter, and pipe toughness.

[0092] In pipelines, wall thickness and diameter are interrelated; in large-diameter pipelines, thicker walls help improve resistance to crack propagation. However, in some cases, excessively thick pipes may lead to stress concentration, increasing the risk of crack initiation. Therefore, a balance needs to be found between pipe diameter and wall thickness to ensure both safety and economy during pipeline operation. However, regardless of wall thickness or diameter, if the material's toughness is poor, the risk of crack propagation remains high. Therefore, selecting appropriate materials and improving pipeline toughness are crucial for delaying crack propagation.

[0093] Step 12: Obtain the second relationship graph based on the full-scale blasting test database.

[0094] The second relationship diagram is used to represent the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate obtained from actual blasting tests and the dynamic crack arrest ratio.

[0095] In this step, based on the operating conditions of the CO2 pipeline and the corresponding crack propagation data from the full-scale burst test, a graph is plotted using drawing software to show the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate and the dynamic-crack arrest ratio.

[0096] The full-scale burst test involves conducting burst tests on full-size pipe samples in a laboratory or on-site to simulate the rupture behavior of CO2 pipelines under extreme conditions. The full-scale burst test database records the actual crack propagation rate and process during pipeline rupture, as well as relevant operating condition data (such as pressure, temperature, crack characteristics, etc.). The dynamic-crack arrest ratio in the second relationship diagram is the dimensionless dynamic-crack arrest ratio.

[0097] Step 13: Fit the first and second relationship diagrams to obtain the crack propagation rate prediction formula;

[0098] In this step, the first and second relationship graphs are placed in the same subplot to examine the mathematical relationship between the comprehensive characterization parameters of the pipeline crack propagation rate obtained from numerical simulation and the dynamic-crack arrest ratio, and the comprehensive characterization parameters of the pipeline crack propagation rate obtained from actual experiments and the dynamic-crack arrest ratio. Then, the first and second relationship graphs are fitted to obtain the best fitting curve, thereby obtaining the crack propagation rate prediction formula.

[0099] Among them, the crack propagation prediction formula is the mathematical formula corresponding to the best-fit curve. This formula can comprehensively estimate the crack propagation rate of CO2 pipelines based on the dynamic-crack arrest ratio and other key parameters that affect crack propagation.

[0100] Step 14: For each key parameter, under the same working condition, different values ​​are taken for the key parameter, and the crack propagation rate corresponding to each value is determined according to the crack propagation rate prediction formula. Crack propagation rate curve and decompression curve are obtained.

[0101] In this step, for each key parameter affecting crack propagation rate (e.g., pipe wall thickness, pipe toughness, etc.), different values ​​are set for the same key parameter under the same working condition. The crack propagation rate corresponding to different values ​​is determined according to the crack propagation rate prediction formula, thereby obtaining the crack propagation rate curve and the decompression curve.

[0102] The crack propagation rate curve and the decompression curve together form a crack arrest hyperbola, which is used to determine the crack arrest index of the CO2 pipeline. The aforementioned decompression curve is generated using decompression curve plotting software based on the component content, initial pressure, and initial temperature of the medium (i.e., the CO2 pipeline transmission medium).

[0103] In one possible implementation, the pre-set operating conditions of the CO2 pipeline (including the content of medium components, initial pressure, etc.) are input into the decompression curve plotting software to obtain the decompression curve. The decompression curve plotting software can be Matlab, Python, CoolProp, etc.

[0104] In one possible implementation, under the conditions of a wall thickness of 120mm, a pipe diameter of DN500mm, and a delivery pressure of 8MPa, the pipe toughness is set to 200J and 220J. The operating condition information (such as wall thickness and pipe diameter data) is input into the crack propagation rate prediction formula to obtain the crack propagation rate of different pipe toughnesses under different dynamic pressures under the operating condition, thereby obtaining the crack propagation rate curves corresponding to the pipe toughness of 200J and the pipe toughness of 220J.

[0105] Step 15: Determine the crack arrest index corresponding to each key parameter based on the crack propagation rate curve and decompression curve corresponding to each key parameter.

[0106] In this step, based on the crack propagation rate curve and decompression curve corresponding to different values ​​of each key parameter, the crack arrest index (the optimal value of the key parameter) corresponding to each key parameter is determined.

[0107] Among them, the crack arrest index is an important indicator for measuring the safety of CO2 pipelines, indicating whether the pipeline can effectively prevent cracks from spreading to the extent that endangers the pipeline structure under specific operating conditions.

[0108] Optionally, step 15 can be implemented as follows:

[0109] For each key parameter, the value of the key parameter at the tangent point of the crack propagation rate curve and the decompression curve corresponding to the key parameter is used as the crack arrest index corresponding to the key parameter.

[0110] In this implementation, for the crack propagation rate curve and the corresponding decompression curve corresponding to different values ​​of each key parameter, the tangent point of the crack propagation rate curve and the decompression curve is obtained. The value of the key parameter corresponding to the crack propagation rate curve that has a tangent point with the decompression curve is used as the crack arrest index corresponding to the key parameter.

[0111] In one possible implementation, the pipeline toughness parameter is set to 100J, 200J, and 300J. Crack propagation rate curves corresponding to pipeline toughness of 100J, 200J, and 300J are plotted respectively. If the crack propagation rate curve and the decompression curve corresponding to pipeline toughness of 200J have a tangent point, then the crack arrest index corresponding to pipeline toughness is 200J.

[0112] The method for determining the crack arrest index value of CO2 pipelines provided in this application embodiment first performs numerical simulation based on the set operating conditions information of the CO2 pipeline to obtain at least one key parameter affecting the crack propagation rate of the CO2 pipeline, and a first relationship diagram. Then, based on a full-size burst test database, a second relationship diagram is obtained. The first and second relationship diagrams are fitted to obtain a crack propagation rate prediction formula. For each key parameter, different values ​​are taken for the key parameter under the same operating conditions, and the crack propagation rate corresponding to each value is determined according to the crack propagation rate prediction formula. Crack propagation rate curves and decompression curves are obtained. Finally, based on the crack propagation rate curves and decompression curves corresponding to each key parameter, the crack arrest index corresponding to each key parameter is determined. This technical solution predicts the crack propagation rate of CO2 pipelines by establishing a mathematical model. By fitting the relationship between the comprehensive characterization parameters of pipeline crack propagation rate obtained from numerical simulation and actual explosion test and the dynamic-crack arrest ratio, the crack propagation rate prediction formula is determined. Furthermore, by combining the crack propagation rate curves and decompression curves corresponding to different values ​​of key parameters, the crack arrest index of the pipeline is determined. This achieves the technical effect of effectively evaluating the safety of CO2 pipelines under different operating conditions and obtaining the crack arrest index value of CO2 pipelines in a cost-effective manner.

[0113] Based on the above embodiments, Figure 2 is a second flowchart illustrating the method for determining the crack arrest index value of a CO2 pipeline provided in this application embodiment. As shown in Figure 2, the method may include the following steps:

[0114] Step 21: Merge the first relationship diagram and the second relationship diagram into the same sub-diagram, and adjust the parameters of the dimension containing the comprehensive characterization parameter of the pipe crack propagation rate until the first relationship diagram and the second relationship diagram achieve the best fitting effect. Obtain the best curve parameters based on the fitting result.

[0115] In this step, the first and second relationship diagrams are merged into the same graph using plotting software, making the influence of numerical simulation data and actual experimental data on crack propagation rate clearer. Then, the parameters of the comprehensive characterization parameters of pipe crack propagation rate are adjusted to achieve the best fit between numerical simulation data and actual experimental data. The optimal curve parameters are determined based on the parameters corresponding to the best fit.

[0116] Among them, the dimension of the comprehensive characterization parameter of the pipeline crack propagation rate is the x-axis in the merged figure, and the y-axis in the merged figure is the dimensionless dynamic-crack arrest ratio.

[0117] The formula for the comprehensive characterization parameters of pipe crack propagation rate is:

[0118] Among them, V f σ is the crack propagation rate; f It is the material rheological stress, K V For the impact toughness of the Charpy V-Notch (CVN) impact specimen, A c The ligament area of ​​the Charpy impact test specimen is given.

[0119] In one possible implementation, Figure 3 is a combined diagram of the first and second relationship diagrams provided in the embodiments of this application. In Figure 3, each circle represents the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate and the dynamic-crack arrest ratio of the numerical simulation data corresponding to a pipeline operating condition information. Each × represents the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate and the dynamic-crack arrest ratio of the actual test data corresponding to a pipeline operating condition information.

[0120] Step 22: Obtain the crack propagation rate prediction formula based on the optimal curve parameters.

[0121] In this step, the crack propagation rate prediction formula is obtained based on the optimal curve parameters corresponding to the best fitting curve. This facilitates the subsequent combination of the crack propagation rate prediction curve and the decompression curve to obtain the crack arrest index value of the CO2 pipeline.

[0122] In one possible implementation, the crack propagation rate prediction formula is:

[0123] Among them, R f For pipeline toughness, R f =K V / A c P a Fracturing pressure, P d Reduce the pressure of the medium.

[0124] The formula for the above-mentioned crack arresting pressure is:

[0125] Where D is the pipe diameter, t is the pipe wall thickness, and E is the elastic modulus of the pipe material.

[0126] Optionally, step 22 can be implemented in the following ways:

[0127] Step 1: Obtain the formula for predicting the initial crack propagation rate based on the optimal curve parameters;

[0128] In this step, based on the optimal curve parameters corresponding to the best fitting effect, the formula for the initial crack propagation rate corresponding to the optimal curve parameters is obtained, which can be used to reflect the crack propagation characteristics under different working conditions.

[0129] Step 2: Input the working condition information from the full-size blasting test database into the initial crack propagation rate prediction formula to calculate the predicted crack propagation rate;

[0130] In this step, actual test data that meets the set range of working conditions is found in the working condition information of the full-size blasting test database. The actual test data that meets the set range of working conditions is input into the initial crack propagation rate prediction formula to calculate the predicted crack propagation rate.

[0131] In one possible implementation, the actual test data includes a pipe wall thickness of 10 mm, a pipe diameter of DN800 mm, a pipe toughness of 200 J, an initial pressure of 6 MPa, and a calculated predicted crack propagation rate of 100 m / s.

[0132] Step 3: Compare the actual crack propagation rate with the predicted crack propagation rate based on the working condition information in the full-size blasting test database;

[0133] In this step, actual crack propagation velocity data that conforms to the set working condition information range is found from the working condition information in the full-size blasting test database, and then the error between the actual crack propagation velocity and the predicted crack propagation velocity is obtained.

[0134] In one possible implementation, the actual crack propagation velocity under a certain working condition is 110 m / s, the predicted crack propagation velocity is 100 m / s, and the error is 9%.

[0135] In one possible implementation, the actual crack propagation velocity under a certain working condition is 130 m / s, the predicted crack propagation velocity is 112 m / s, and the error is 13.8%.

[0136] Step 4: When the error between the actual crack propagation rate and the predicted crack propagation rate is less than the preset error, the initial crack propagation rate prediction formula is determined as the crack propagation rate prediction formula.

[0137] In this step, when the error between the actual crack propagation rate and the predicted crack propagation rate is less than the preset error, it indicates that the initial crack propagation rate prediction formula is accurate and reliable. The initial crack propagation rate prediction formula is then determined as the crack propagation rate prediction formula and can be used to determine the subsequent crack arrest index value of CO2 pipelines.

[0138] The preset error is set to ±20%.

[0139] In one possible implementation, the actual crack propagation rate is 120 m / s, the predicted crack propagation rate is 100 m / s, and the error is 16.7%. The actual crack propagation rate is 110 m / s, the predicted crack propagation rate is 100 m / s, and the error is 9%. The average error is 12.85%, which is less than the preset error of 20%. Therefore, the initial crack propagation rate prediction formula can be determined as the crack propagation rate prediction formula.

[0140] The method for determining the crack arrest index value of CO2 pipelines provided in this application merges a first relationship diagram and a second relationship diagram into a single graph. It then adjusts the parameters of the comprehensive characterization parameters for pipeline crack propagation speed until the first and second relationship diagrams achieve the best fit. Based on the fitting result, the optimal curve parameters are obtained, and then a crack propagation speed prediction formula is derived based on these optimal curve parameters. This technical solution, by merging two relationship diagrams and adjusting the comprehensive characterization parameters for pipeline crack propagation speed, achieves the best model fit and thus obtains a crack propagation speed prediction formula. This achieves the technical effect of accurately reflecting the relationship between crack propagation speed and multiple parameters, providing support for the design of crack arrest index values ​​for CO2 pipelines.

[0141] Based on the above embodiments, Figure 4 is a flowchart illustrating the method for determining the crack arrest index value of CO2 pipelines provided in this application embodiment. As shown in Figure 4, the method may include the following steps:

[0142] Step 31: Perform numerical simulation calculations on the set operating conditions of the CO2 pipeline to obtain data information corresponding to different parameters simulated under different operating conditions.

[0143] The data includes crack propagation rate and crack propagation time.

[0144] In this step, the pre-set operating conditions of the CO2 pipeline are numerically simulated to calculate the crack propagation rate and crack propagation time under different operating conditions. The crack propagation rate and propagation time under different operating conditions are recorded as numerical data to obtain the data information corresponding to the different parameters simulated under different operating conditions.

[0145] In one possible implementation, the information for CO2 pipeline under operating condition 1 is as follows: pipeline diameter DN160mm, wall thickness 15mm, pipeline toughness 300J, and delivery pressure 8MPa. The information for CO2 pipeline under operating condition 2 is as follows: pipeline diameter DN180mm, wall thickness 26mm, pipeline toughness 300J, and delivery pressure 10MPa. The operating condition information is input into finite element analysis software (i.e., numerical simulation software) for numerical simulation calculation. The crack propagation data for operating condition 1 are: crack propagation velocity 50m / s, crack propagation time 10s. The crack propagation data for operating condition 2 are: crack propagation velocity 55m / s, crack propagation time 8s.

[0146] Step 32: Using preset drawing software, draw a diagram showing the relationship between dynamic crack arrest ratio and pipeline crack propagation rate based on the data information corresponding to different parameters simulated under different working conditions.

[0147] In this step, the dynamic crack arrest ratio is calculated based on the data information corresponding to different parameters obtained from numerical simulation calculations under different working conditions. The dynamic crack arrest ratio is then input into the plotting software along with the data information to obtain the influence relationship diagram between the dynamic crack arrest ratio and the crack propagation rate of the pipeline under different working conditions, which shows the changing trend of crack propagation rate under different working conditions.

[0148] The plotting software can be Matlab, Python (using the Matplotlib library), Origin, etc.

[0149] In one possible implementation, the embodiments of this application use Origin software as the plotting software.

[0150] Step 33: Based on the influence relationship diagram, determine at least one key parameter that affects the crack propagation rate of the CO2 pipeline;

[0151] In this step, by observing the relationship between the dynamic crack arrest ratio and the crack propagation rate of the pipeline, we analyze which parameters affect the crack propagation rate, thereby identifying at least one key parameter that affects the crack propagation rate of the CO2 pipeline.

[0152] Figure 5 shows the relationship between the dynamic crack arrest ratio and the crack propagation rate of the pipe and the wall thickness and pipe diameter provided in the embodiments of this application. As shown in Figure 5, Figures a and c are the relationship between the dynamic crack arrest ratio and the crack propagation rate of the pipe and the wall thickness, and Figure b is the relationship between the dynamic crack arrest ratio and the crack propagation rate of the pipe diameter.

[0153] As shown in Figure 5, the crack propagation rates are different when the same dynamic crack arrest ratio is used for different wall thicknesses (i.e., the same vertical coordinate value). Similarly, the crack propagation rates are also different when the same dynamic crack arrest ratio is used for different pipe diameters. This indicates that both wall thickness and pipe diameter are key parameters affecting the crack propagation rate of CO2 pipes.

[0154] In one possible implementation, the key parameters affecting the crack propagation rate of CO2 pipelines are pipeline diameter, wall thickness, and pipeline toughness.

[0155] Step 34: Standardize the data information corresponding to the key parameters simulated under the same working condition, and draw the first relationship diagram based on the standardized data information corresponding to each working condition using preset drawing software.

[0156] In this step, the data information corresponding to the key parameters under different working conditions is standardized to facilitate comparison and visualization. Then, the first relationship diagram is redrawn using the standardized data through drawing software.

[0157] Standardization can be either min-max standardization, which scales the data to a specified range, or zero-mean standard deviation standardization, which removes the mean of the data and scales the result to standard deviation units, allowing the data to be compared on the same scale, thus avoiding bias caused by different units or scales in the original data.

[0158] In one possible implementation, the horizontal axis of the first relationship diagram represents a comprehensive characteristic parameter of the pipe crack propagation rate, and the vertical axis represents the dimensionless dynamic-crack arrest ratio.

[0159] In the first relationship diagram, the data corresponding to the horizontal and vertical axes are all standardized data, which facilitates comparison between different working conditions.

[0160] The method for determining the crack arrest index value of CO2 pipelines provided in this application embodiment involves performing numerical simulation calculations on the set operating conditions of the CO2 pipeline to obtain data information corresponding to different parameters simulated under different operating conditions. Then, using preset drawing software, a dynamic-crack arrest ratio and pipeline crack propagation rate influence relationship diagram is drawn based on the data information corresponding to the different parameters simulated under different operating conditions. Based on the influence relationship diagram, at least one key parameter that affects the crack propagation rate of the CO2 pipeline is determined. Finally, the data information corresponding to different parameters simulated under the same operating condition is standardized, and a first relationship diagram is drawn based on the standardized data information corresponding to each operating condition using preset drawing software. This technical solution uses numerical simulation to calculate crack propagation rate and crack propagation time under different operating conditions. Then, it plots the relationship between crack propagation rate and dynamic crack arrest ratio corresponding to different operating condition parameters, thereby identifying the key parameters affecting crack propagation rate. The data corresponding to the key parameters under different operating conditions are standardized to help clarify the relative impact of key parameters on crack propagation rate under different operating conditions. This achieves a comprehensive assessment of the impact of key parameters under different operating conditions on crack propagation rate in CO2 pipelines, providing data support for the design of crack arrest index values ​​for CO2 pipelines.

[0161] Based on the above embodiments, Figure 6 is a flowchart illustrating the method for determining the crack arrest index value of CO2 pipelines provided in this application embodiment. As shown in Figure 6, the method may include the following steps:

[0162] Step 41: Obtain the crack propagation rate and crack propagation time corresponding to the key parameters under different working conditions from the full-scale blasting test database;

[0163] In this step, the crack propagation rate and crack propagation time corresponding to the key parameters under different operating conditions within the set CO2 pipeline operating conditions range (as shown in Table 1) are obtained from the full-size burst test database as the basis for further analysis.

[0164] In one possible implementation, the data information for condition 3 obtained from the full-size burst test database is as follows: pipe diameter DN170mm, wall thickness 13mm, pipe toughness 400J, crack propagation rate 82m / s, and crack propagation time 10s.

[0165] Step 42: Standardize the data information corresponding to the key parameters obtained from the test under the same working condition, and draw the second relationship diagram based on the standardized data information corresponding to each working condition using preset drawing software.

[0166] In this step, the data information corresponding to the key parameters obtained from the test under the same working condition is standardized to eliminate the differences in dimensions and scales between different data, so that the data can be compared and analyzed laterally. Then, a second relationship diagram is drawn based on the standardized data information using plotting software to determine the relationship between the crack propagation rate and the dynamic-crack arrest ratio corresponding to the key parameters under different working conditions.

[0167] In one possible implementation, the embodiments of this application employ min-max normalization to standardize the data information.

[0168] The method for determining the crack arrest index value of CO2 pipelines provided in this application involves obtaining crack propagation rates and crack propagation times corresponding to different parameters under different operating conditions from a full-scale burst test database. Then, the data information corresponding to different parameters obtained from tests under the same operating condition is standardized, and a second relationship diagram is drawn based on the standardized data information corresponding to each operating condition using preset plotting software. This technical solution standardizes the data information corresponding to preset operating conditions extracted from the test database and draws a second relationship diagram, facilitating subsequent fitting and analysis with a first relationship diagram to analyze the influence of key parameters under different operating conditions on crack propagation rates.

[0169] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0170] Figure 7 is a schematic diagram of the device for determining the crack arrest index value of a CO2 pipeline provided in an embodiment of this application. As shown in Figure 7, the device includes:

[0171] The first acquisition module 71 is used to perform numerical simulation based on the set operating condition information of the CO2 pipeline, to acquire at least one key parameter affecting the crack propagation rate of the CO2 pipeline, and a first relationship diagram, which is used to represent the relationship between the comprehensive characterization parameter of the pipeline crack propagation rate simulated based on the set operating condition information and the dynamic-crack arrest ratio.

[0172] The second acquisition module 72 is used to acquire a second relationship diagram based on a full-size burst test database. The second relationship diagram is used to represent the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate obtained based on actual burst tests and the dynamic-crack arrest ratio.

[0173] The third acquisition module 73 is used to fit the first relationship diagram and the second relationship diagram to obtain the crack propagation rate prediction formula;

[0174] The processing module 74 is used to take different values ​​for each key parameter under the same working condition, and determine the crack propagation rate corresponding to each value according to the crack propagation rate prediction formula, and obtain the crack propagation rate curve and the decompression curve.

[0175] The determination module 75 is used to determine the crack arrest index corresponding to each key parameter based on the crack propagation rate curve and decompression curve corresponding to each key parameter.

[0176] In one possible implementation, the third acquisition module 73 is specifically used for:

[0177] The first and second relationship diagrams are merged into the same sub-diagram, and the parameters of the comprehensive characterization parameters of the pipeline crack propagation rate are adjusted until the first and second relationship diagrams achieve the best fitting effect. The best curve parameters are obtained based on the fitting results.

[0178] Based on the optimal curve parameters, a formula for predicting crack propagation rate is obtained.

[0179] In one possible implementation, the third acquisition module 73 acquires the crack propagation rate prediction formula based on the optimal curve parameters, specifically for:

[0180] Based on the optimal curve parameters, obtain the formula for predicting the initial crack propagation rate;

[0181] Input the working condition information from the full-scale blasting test database into the initial crack propagation rate prediction formula to calculate the predicted crack propagation rate;

[0182] The error is compared between the actual crack propagation rate and the predicted crack propagation rate corresponding to the working condition information in the full-size blasting test database;

[0183] When the error between the actual crack propagation rate and the predicted crack propagation rate is less than the preset error, the initial crack propagation rate prediction formula is determined as the crack propagation rate prediction formula.

[0184] In one possible implementation, at least one key parameter includes at least one of pipe wall thickness, pipe diameter, and pipe toughness.

[0185] In one possible implementation, the first acquisition module 71 is specifically used for:

[0186] Numerical simulation calculations were performed on the set operating conditions of the CO2 pipeline to obtain data information corresponding to different parameters under different operating conditions. The data information included crack propagation rate and crack propagation time.

[0187] Using pre-set drawing software, a graph showing the relationship between dynamic crack arrest ratio and pipeline crack propagation rate is drawn based on data information corresponding to different parameters simulated under different working conditions.

[0188] Based on the influence diagram, at least one key parameter that affects the crack propagation rate of CO2 pipelines was identified.

[0189] The data information corresponding to the key parameters simulated under the same working condition is standardized, and the first relationship diagram is drawn based on the standardized data information corresponding to each working condition using preset drawing software.

[0190] In one possible implementation, the second acquisition module 72 is specifically used for:

[0191] Crack propagation rate and crack propagation time corresponding to key parameters under different working conditions were obtained from the full-scale blasting test database;

[0192] The data information corresponding to the key parameters obtained from the test under the same working condition is standardized, and a second relationship diagram is drawn based on the standardized data information corresponding to each working condition using preset plotting software.

[0193] In one possible implementation, the determining module 75 is specifically used for:

[0194] For each key parameter, the value of the key parameter at the tangent point of the crack propagation rate curve and the decompression curve corresponding to the key parameter is used as the crack arrest index corresponding to the key parameter.

[0195] The apparatus provided in this application embodiment can be used to execute the determination method in any of the above embodiments. Its implementation principle and technical effect are similar, and will not be described again here.

[0196] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented in software via processing element calls, while others are implemented in hardware. Additionally, these modules can be fully or partially integrated together, or implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through the integrated logic circuits in the hardware of the processor element or through software instructions.

[0197] Figure 8 is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. As shown in Figure 8, the electronic device may include: a processor 81, a memory 82, and computer program instructions stored in the memory 82 and executable on the processor 81. When the processor 81 executes the computer program instructions, it implements the method provided in any of the foregoing embodiments.

[0198] Optionally, the various components of the electronic device can be connected via a system bus.

[0199] The memory 82 can be a separate memory unit or a memory unit integrated into the processor 81. The number of processors 81 can be one or more.

[0200] It should be understood that the processor 81 can be a Central Processing Unit (CPU), or other general-purpose processors 81, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor 81 can be a microprocessor 81, or any conventional processor 81. The steps of the method disclosed in this application can be directly manifested as being executed by the hardware processor 81, or being executed by a combination of hardware and software modules within the processor 81.

[0201] The system bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. Memory 82 may include random access memory (RAM) 82, and may also include non-volatile memory (NVM) 82, such as at least one disk storage device 82.

[0202] All or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable memory 82. When the program is executed, it performs the steps of the above method embodiments; and the aforementioned memory 82 (storage medium) includes: read-only memory 82 (ROM), RAM, flash memory 82, hard disk, solid-state hard disk, magnetic tape, floppy disk, optical disk, and any combination thereof.

[0203] The electronic device provided in this application embodiment can be used to execute the method provided in any of the above method embodiments. Its implementation principle and technical effect are similar, and will not be repeated here.

[0204] This application provides a computer-readable storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the above-described method.

[0205] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory, electrically erasable programmable read-only memory, erasable programmable read-only memory, programmable read-only memory, read-only memory, magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0206] Optionally, a readable storage medium can be coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Alternatively, the readable storage medium can be an integral part of the processor. Both the processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components within the device.

[0207] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and the at least one processor can implement the above-described method when executing the computer program.

[0208] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for determining the crack arrest index value of a CO2 pipeline, characterized in that, include: Numerical simulation is performed based on the set operating conditions of the CO2 pipeline to obtain at least one key parameter affecting the crack propagation rate of the CO2 pipeline, as well as a first relationship diagram. The first relationship diagram is used to represent the relationship between the comprehensive characterization parameter of the pipeline crack propagation rate simulated based on the set operating conditions and the dynamic crack arrest ratio. Based on a full-scale burst test database, a second relationship graph is obtained. The second relationship graph is used to represent the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate obtained from actual burst tests and the dynamic crack arrest ratio. Fit the first relationship diagram and the second relationship diagram to obtain the crack propagation rate prediction formula; For each key parameter, different values ​​are taken for the key parameter under the same working condition, and the crack propagation rate corresponding to each value is determined according to the crack propagation rate prediction formula, so as to obtain the crack propagation rate curve and the decompression curve. Based on the crack propagation rate curve and decompression curve corresponding to each key parameter, the crack arrest index corresponding to each key parameter is determined.

2. The method according to claim 1, characterized in that, The step of fitting the first relationship diagram and the second relationship diagram to obtain the crack propagation rate prediction formula includes: The first and second relationship diagrams are merged into the same sub-diagram, and the parameters of the comprehensive characterization parameters of the pipeline crack propagation rate are adjusted until the first and second relationship diagrams achieve the best fitting effect. The best curve parameters are obtained based on the fitting results. Based on the optimal curve parameters, the crack propagation rate prediction formula is obtained.

3. The method according to claim 2, characterized in that, The step of obtaining the crack propagation rate prediction formula based on the optimal curve parameters includes: Based on the optimal curve parameters, obtain the formula for predicting the initial crack propagation rate; The working condition information from the full-size blasting test database is input into the initial crack propagation rate prediction formula to calculate the predicted crack propagation rate. The error is compared between the actual crack propagation velocity corresponding to the working condition information in the full-size blasting test database and the predicted crack propagation velocity. When the error between the actual crack propagation rate and the predicted crack propagation rate is less than a preset error, the initial crack propagation rate prediction formula is determined as the crack propagation rate prediction formula.

4. The method according to any one of claims 1 to 3, characterized in that, The at least one key parameter includes at least one of pipe wall thickness, pipe diameter, and pipe toughness.

5. The method according to any one of claims 1 to 4, characterized in that, The numerical simulation based on the established operating conditions of the CO2 pipeline obtains at least one key parameter affecting the crack propagation rate of the CO2 pipeline, and a first relationship diagram, including: The operating conditions of the CO2 pipeline are numerically simulated to obtain data information corresponding to different parameters under different operating conditions. The data information includes crack propagation rate and crack propagation time. Using pre-set drawing software, a graph showing the relationship between dynamic crack arrest ratio and pipeline crack propagation rate is drawn based on data information corresponding to different parameters simulated under different working conditions. Based on the influence diagram, at least one key parameter that affects the crack propagation rate of the CO2 pipeline is determined. The data information corresponding to the key parameters simulated under the same working condition is standardized, and the first relationship diagram is drawn by using preset drawing software based on the standardized data information corresponding to each working condition.

6. The method according to any one of claims 1 to 5, characterized in that, The process of obtaining the second relationship graph based on the full-scale blasting test database includes: Crack propagation rate and crack propagation time corresponding to key parameters under different working conditions were obtained from the full-size blasting test database. The data information corresponding to the key parameters obtained from the test under the same working condition is standardized, and the second relationship diagram is drawn by using preset drawing software based on the standardized data information corresponding to each working condition.

7. The method according to any one of claims 1 to 6, characterized in that, The crack arrest index corresponding to each key parameter is determined based on the crack propagation rate curve and decompression curve corresponding to each key parameter, including: For each key parameter, the value of the key parameter at the tangent point between the crack propagation rate curve and the decompression curve corresponding to the key parameter is used as the crack arrest index corresponding to the key parameter.

8. A device for determining the crack arrest index value of a CO2 pipeline, characterized in that, include: The first acquisition module is used to perform numerical simulation based on the set operating condition information of the CO2 pipeline, to acquire at least one key parameter affecting the crack propagation rate of the CO2 pipeline, and a first relationship diagram, which is used to represent the relationship between the comprehensive characterization parameter of the pipeline crack propagation rate simulated based on the set operating condition information and the dynamic-crack arrest ratio. The second acquisition module is used to acquire a second relationship diagram based on a full-size burst test database. The second relationship diagram is used to represent the relationship between the comprehensive characterization parameters of the pipeline crack propagation rate obtained based on actual burst tests and the dynamic-crack arrest ratio. The third acquisition module is used to fit the first relationship diagram and the second relationship diagram to obtain the crack propagation rate prediction formula; The processing module is used to take different values ​​for each key parameter under the same working condition, and determine the crack propagation rate corresponding to each value according to the crack propagation rate prediction formula, and obtain the crack propagation rate curve and the decompression curve. The determination module is used to determine the crack arrest index corresponding to each key parameter based on the crack propagation rate curve and decompression curve corresponding to each key parameter.

9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 7.

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