Method and apparatus for determining crack arrest index value of co2 pipeline and electronic device

Abstract

The present application provides a method and an apparatus for determining a crack arrest index value of a CO2 pipeline, and an electronic device. In the method, firstly numerical simulation is performed based on preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram; then a second relationship diagram is obtained based on a full-scale burst test database, and thus a crack propagation velocity prediction formula is obtained; different values of each key parameter is taken under a same operating condition, crack propagation velocities are determined according to the crack propagation velocity prediction formula, and thus a crack propagation velocity curve and a decompression curve are obtained; and finally a crack arrest index corresponding to each key parameter is determined according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter. This technical solution achieves technical effects of effectively evaluating the safety of CO2 pipelines under various operating conditions and economically and efficiently obtaining crack arrest index values of CO2 pipelines.

Description

method and APPARATUS for determining crack arrest index value of CO2 pipelineAND electronic device[1] The present application claims priority to Chinese Patent Application No. 202510205405.7, filed with China National Intellectual Property Administration on February 24, 2025, entitled “Method and Apparatus for Determining Crack Arrest Index Value of CO2 Pipeline and Electronic Device”. The aforementioned patent application is hereby incorporated by reference in its entirety.TECHNICAL FIELD[2] The present application relates to the technical field of CO2 pipelines, and in particular, relates to a method and an apparatus for determining a crack arrest index value of a CO2 pipeline, and an electronic device.Background[3] CO2 (Carbon Dioxide) transportation is a key link connecting CO2 capture with storage and utilization in the carbon capture utilization and storage (CCUS) industry chain. In fracture designs of CO2 pipelines, calculation of pipeline crack propagation velocity is a key factor affecting the accuracy of crack arrest calculation.[4] In the prior art, crack arrest performances of CO2 pipelines may be evaluated by using a Battelle natural gas crack arrest calculation model modification, CO2 decompression wave saturation pressure, and full-scale burst tests, so as to determine crack arrest index values of CO2 pipelines.[5] However, the above methods have technical problems such as complicated determination process, high cost, and excessive conservatism for crack arrest index values of CO2 pipelines.Summary[6] Embodiments of the present application provide a method and an apparatus for determining a crack arrest index value of a CO2 pipeline, and an electronic device, to solve the problems of complicated determination process and high cost for the crack arrest index value of the CO2 pipeline in the prior art.[7] In a first aspect, an embodiment of the present application provides a method for determining a crack arrest index value of a CO2 pipeline, including:performing numerical simulation based on preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram, where the first relationship diagram simulated based on the preset operating condition information represents a relationship between comprehensive characterization parameters of the pipeline crack propagation velocity and a dynamic crack arrest ratio;obtaining a second relationship diagram based on a full-scale burst test database, where the second relationship diagram obtained from an actual burst test represents a relationship between the comprehensive characterization parameters of the pipeline crack propagation velocity and the dynamic crack arrest ratio;fitting the first relationship diagram and the second relationship diagram to obtain a crack propagation velocity prediction formula;taking different values of each key parameter under a same operating condition, determining crack propagation velocities corresponding to respective values according to the crack propagation velocity prediction formula, and obtaining a crack propagation velocity curve and a decompression curve; anddetermining a crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter.[8] In one possible implementation, the fitting the first relationship diagram and the second relationship diagram to obtain the crack propagation velocity prediction formula includes:combining the first relationship diagram and the second relationship diagram into a same diagram, adjusting parameters on a dimension where the comprehensive characterization parameters of the pipeline crack propagation velocity is located until the first relationship diagram and the second relationship diagram achieve an optimal fitting effect, and obtaining optimal curve parameters according to a fitting result; andobtaining the crack propagation velocity prediction formula according to the optimal curve parameters.[9] In one possible implementation, the obtaining the crack propagation velocity prediction formula according to the optimal curve parameters includes:obtaining an initial crack propagation velocity prediction formula according to the optimal curve parameters;inputting operating condition information from the full-scale burst test database into the initial crack propagation velocity prediction formula to calculate a predicted crack propagation velocity;performing an error comparison between an actual crack propagation velocity corresponding to the operating condition information from the full-scale burst test database and the predicted crack propagation velocity; anddetermining the initial crack propagation velocity prediction formula as the crack propagation velocity prediction formula when an error between the actual crack propagation velocity and the predicted crack propagation velocity is less than a preset error.

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

[11] In one possible implementation, the performing the numerical simulation based on the preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting the CO2 pipeline crack propagation velocity, and to obtain the first relationship diagram includes:performing numerical simulation calculations based on the preset operating condition information of the CO2 pipeline to obtain data information that is corresponding to different parameters and is obtained from simulation under different operating conditions, where the data information includes crack propagation velocities and crack propagation times;plotting, by using a preset plotting software, an influence relationship diagram between the dynamic crack arrest ratio and the pipeline crack propagation velocity according to the data information that is corresponding to the different parameters and is obtained from simulation under the different operating conditions;determining the at least one key parameter affecting the CO2 pipeline crack propagation velocity according to the influence relationship diagram;performing standardization processing on data information that is corresponding to each key parameter and is obtained from simulation under the same operating condition; and plotting, by using the preset plotting software, the first relationship diagram according to standardized data information corresponding to respective operating conditions.

[12] In one possible implementation, the obtaining the second relationship diagram based on the full-scale burst test database includes:obtaining crack propagation velocities and crack propagation times corresponding to each key parameter under different operating conditions from the full-scale burst test database;performing standardization processing on data information that is corresponding to each key parameter and is obtained from the test under the same operating condition; and plotting, by using the preset plotting software, the second relationship diagram according to standardized data information corresponding to respective operating conditions.

[13] In one possible implementation, the determining the crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter includes:identifying a value of each key parameter at a tangent point between the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter as the crack arrest index corresponding to each key parameter.

[14] In a second aspect, an embodiment of the present application provides an apparatus for determining a crack arrest index value of a CO2 pipeline, including:a first acquiring module, configured to perform numerical simulation based on preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram, where the first relationship diagram simulated based on the preset operating condition information represents a relationship between comprehensive characterization parameters of the pipeline crack propagation velocity and a dynamic crack arrest ratio;a second acquiring module, configured to obtain a second relationship diagram based on a full-scale burst test database, where the second relationship diagram obtained based on an actual burst test represents a relationship between the comprehensive characterization parameters of the pipeline crack propagation velocity and the dynamic crack arrest ratio;a third acquiring module, configured to fit the first relationship diagram and the second relationship diagram to obtain a crack propagation velocity prediction formula;a processing module, configured to take different values of each key parameter under a same operating condition, determine crack propagation velocities corresponding to respective values according to the crack propagation velocity prediction formula, and obtain a crack propagation velocity curve and a decompression curve; anda determining module, configured to determine a crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter.

[15] In one possible implementation, the third acquiring module, is specifically configured to:combine the first relationship diagram and the second relationship diagram into a same diagram, adjust parameters on a dimension where the comprehensive characterization parameters of the pipeline crack propagation velocity are located until the first relationship diagram and the second relationship diagram achieve an optimal fitting effect, and obtain optimal curve parameters according to a fitting result; andobtain the crack propagation velocity prediction formula according to the optimal curve parameters.

[16] In one possible implementation, the third acquiring module obtaining the crack propagation velocity prediction formula according to the optimal curve parameters, is specifically configured to:obtain an initial crack propagation velocity prediction formula according to the optimal curve parameters;input operating condition information from the full-scale burst test database into the initial crack propagation velocity prediction formula to calculate a predicted crack propagation velocity;perform an error comparison between an actual crack propagation velocity corresponding to the operating condition information from the full-scale burst test database and the predicted crack propagation velocity; anddetermine the initial crack propagation velocity prediction formula as the crack propagation velocity prediction formula when an error between the actual crack propagation velocity and the predicted crack propagation velocity is less than a preset error.

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

[18] In one possible implementation, the first acquiring module, is specifically configured to:perform numerical simulation calculations based on the preset operating condition information of the CO2 pipeline to obtain data information that is corresponding to different parameters and is obtained from simulation under different operating conditions, where the data information includes crack propagation velocities and crack propagation times;plot, by using a preset plotting software, an influence relationship diagram between the dynamic crack arrest ratio and the pipeline crack propagation velocity according to the data information that is corresponding to the different parameters and is obtained from simulation under the different operating conditions;determine the at least one key parameter affecting the CO2 pipeline crack propagation velocity according to the influence relationship diagram;perform standardization processing on the data information that is corresponding to each key parameter and is obtained from simulation under the same operating condition; and plot, by using the preset plotting software, the first relationship diagram according to standardized data information corresponding to respective operating conditions.

[19] In one possible implementation, the second acquiring module, is specifically configured to:obtain crack propagation velocities and crack propagation times corresponding to each key parameter under different operating conditions from the full-scale burst test database;perform standardization processing on data information that is corresponding to each key parameter and is obtained from the test under the same operating condition; and plot, by using the preset plotting software, the second relationship diagram according to standardized data information corresponding to respective operating conditions.

[20] In one possible implementation, the determining module, is specifically configured to:identifying a value of each key parameter at a tangent point between the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter as the crack arrest index corresponding to each key parameter.

[21] In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;where the memory stores computer-executable instructions; andthe method described in the first aspect or in any of the aforementioned embodiments is implemented when the computer-executable instructions stored in the memory is executed by the processor.

[22] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and the method described in the first aspect or in any of the aforementioned embodiments is implemented when the computer-executable instructions are executed by a processor.

[23] In a fifth aspect, an embodiment of the present application provides a computer program product. The computer program product includes a computer program stored in a computer-readable storage medium, where at least one processor may read the computer program from the computer-readable storage medium, and the method described in the first aspect or any one of the aforementioned embodiments may be implemented when the computer program is executed by at least one processor.

[24] The embodiments of the present application provide a method, an apparatus for determining a crack arrest index value of a CO2 pipeline, and an electronic device. In the method, firstly numerical simulation is performed based on preset operating condition information of a CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity and to obtain a first relationship diagram; then a second relationship diagram is obtained based on a full-scale burst test database; the first relationship diagram is fitted against the second relationship diagram to obtain a crack propagation velocity prediction formula; different values of each key parameter are taken under a same operating condition, and crack propagation velocities corresponding to respective values are determined according to the crack propagation velocity prediction formula, and a crack propagation velocity curve and a decompression curve are obtained; and finally the crack arrest index corresponding to each key parameter is determined according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter. In this technical solution, the crack propagation velocity of the CO2 pipeline is predicted by establishing a mathematical model. The crack propagation velocity prediction formula is determined by fitting the diagrams, which are obtained from the numerical simulation as well as the actual burst test, of the relationship between comprehensive characterization parameters of pipeline crack propagation velocity and dynamic crack arrest ratio. Furthermore, in the combination of the formula with the crack propagation velocity curve and decompression curve that are corresponding to different values of each key parameter, pipeline crack arrest indexes are determined. This achieves technical effects of effectively evaluating the safety of CO2 pipelines under different operating conditions and economically and efficiently obtaining crack arrest index values of CO2 pipelines.BRIEF DESCRIPTION OF DRAWINGS

[25] FIG. 1 is a schematic flowchart I of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application.

[26] FIG. 2 is a schematic flowchart II of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application.

[27] FIG. 3 is a combined diagram of a first relationship diagram and a second relationship diagram according to an embodiment of the present application.

[28] FIG. 4 is a schematic flowchart III of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application.

[29] FIG. 5 is an influence relationship diagram between dynamic crack arrest ratio and pipeline crack propagation velocity as a function of pipeline wall thickness, pipeline diameter and impact toughness according to an embodiment of the present application.

[30] FIG. 6 is a schematic flowchart IV of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application.

[31] FIG. 7 is a schematic structural diagram of an apparatus for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application.

[32] FIG. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.DESCRIPTION OF EMBODIMENTS

[33] In order to make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Naturally, the described embodiments are part of the embodiments of the present application, rather than all of them. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present application.

[34] Before the introduction of the embodiments of the present application, the application background of the embodiments of the present application is explained at first.

[35] CO2 transportation is a key link connecting CO2 capture with storage and utilization in the CCUS industry chain. The efficiency and cost of CO2 transportation will directly affect the overall scale and economic benefits of CCUS. Currently, the carbon source supply for the ongoing CCUS projects mainly relies on vehicular transportation. Only a few oilfield projects utilize pipeline transportation. Furthermore, the existing CO2 pipelines are relatively short, have low transmission capacities, and all rely on gaseous-phase transportation. Compared to the international CCUS industry, CO2 transportation in China is less efficient and more costly. To enhance CO2 transportation capacity, improve transportation efficiency, reduce transportation cost, and meet the future demands of the CCUS industry, a more economical CO2 transport method, supercritical CO2 pipeline transportation, is required. When supercritical CO2 is transported, pipelines operate under high pressure throughout the entire route, making the pipeline material particularly sensitive to defects. This creates a high risk of 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 asphyxiant gas; a massive leak following a pipeline rupture would cause serious harm. Therefore, effective control of crack arrest of CO2 pipelines is of great significance.

[36] In rupture designs of CO2 pipelines, calculation of pipeline crack propagation velocity is a key factor affecting the accuracy of crack arrest calculation. China has accumulated extensive experience in long-distance oil and gas transmission pipelines. However, due to significant differences in the physical properties between CO2 and natural gas, crack propagation velocity calculation models for natural gas pipelines cannot be directly applied to CO2 pipelines. It is necessary to comprehensively analyze the decompression characteristics of the transported medium and the crack propagation behavior of pipelines to determine reasonable crack arrest toughness index requirements for CO2 pipeline engineering.

[37] In the prior art, crack arrest performances of CO2 pipelines may be evaluated by using a Battelle natural gas crack arrest calculation model modification, CO2 decompression wave saturation pressure, and full-scale burst tests, so as to determine crack arrest index values of CO2 pipelines.

[38] However, the above methods have technical problems such as complicated determination process, high cost, and excessive conservatism for crack arrest index values of CO2 pipelines.

[39] In view of the technical problems existing in the prior art, the inventors of the present application have conceived the following solutions. To solve the problems of complicated determination process, high cost, and excessive conservatism for crack arrest index values of CO2 pipelines, a self-developed simplified gas decompression model may be used for numerical simulation. It is combined with an existing full-scale burst test database to simplify the determination process of crack arrest index values of CO2 pipelines and reduce costs. Specifically, numerical simulation is performed based on preset operating condition information of a CO2 pipeline to obtain key parameters; a first relationship diagram (i.e., a relationship diagram between comprehensive characterization parameters of a pipeline crack propagation velocity and a dynamic crack arrest ratio) is plotted; a second relationship diagram is obtained based on a full-scale burst test database; the first relationship diagram is fitted against the second relationship diagram to obtain a crack propagation velocity prediction formula; crack propagation velocity values corresponding to each key parameter under the same operating condition are determined according to the crack propagation velocity prediction formula; and a crack arrest index corresponding to each key parameter is determined according to the obtained crack propagation velocity and a decompression curve.

[40] It is worth noting that application fields of a method and an apparatus for determining a crack arrest index value of a CO2 pipeline, and an electronic device according to the present application are not limited.

[41] The following specific embodiments provide a detailed description of the technical solutions of the present application and how they solve the technical problems described above. These specific embodiments may be combined with one another, and identical or similar concepts or processes may not be repeated in certain examples. The embodiments of the present application will now be described with reference to the accompanying drawings.

[42] FIG. 1 is a schematic flowchart I of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application. As shown in FIG. 1, the method may include the following steps.

[43] Step 11: performing numerical simulation based on preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram.

[44] Where, the first relationship diagram simulated based on the preset operating condition information represents a relationship between comprehensive characterization parameters of the pipeline crack propagation velocity and a dynamic crack arrest ratio.

[45] In this step, a numerical simulation method is used to perform numerical simulation on the preset operating condition information of the CO2 pipeline, so as to obtain crack propagation velocities under different operating conditions and to determine at least one key parameter affecting the CO2 pipeline crack propagation velocity. Therefore, a relationship diagram, which is simulated based on the preset operating condition information, between comprehensive characterization parameters of the pipeline crack propagation velocity and a dynamic crack arrest ratio is obtained for the evaluation of the crack propagation resistance of the pipeline under different operating conditions.

[46] Where, the numerical simulation may be finite element analysis, extended finite element analysis, fluid-structure interaction simulation analysis, etc. The operating condition information of the CO2 pipeline may include an outer diameter of the pipeline, a wall thickness of the pipeline, a material toughness of the pipeline, a flow pressure and a temperature of CO2, etc. The dynamic crack arrest ratio is a ratio of a dynamic pressure to a crack arrest pressure, and the dynamic crack arrest ratio in the first relationship diagram is a dimensionless dynamic crack arrest ratio.

[47] In one possible implementation, the finite element analysis is used in the embodiments of the present application to perform numerical simulation on the preset operating condition information of the CO2 pipeline.

[48] In one possible implementation, value ranges in the preset operating condition information of the CO2 pipeline are as shown in the following table.

[49] Table 1operating condition parameter of CO2 pipelineValue rangepipeline diameter / mmDN150-DN900pipeline wall thickness / mm6.4-27pipeline roughness / J100-900delivery pressure / MPa7.0-15pipeline slope / degree0-3

[50] In one possible implementation, the operating condition information of the CO2 pipeline is set as follows: a pipeline diameter is DN150 mm, a pipeline wall thickness is 15 mm, a pipeline roughness is 500 J, a delivery pressure is 8 MPa, and a pipeline slope is 2 degrees.

[51] Optionally, at least one key parameter in step 11 includes at least one of pipeline wall thickness, pipeline diameter, and pipeline material roughness.

[52] In this implementation, the influence of respective parameters on crack propagation velocity under different operating condition information is obtained after numerical simulation. By comparing the influence of respective parameters on crack propagation velocity, it is determined that key parameters affecting CO2 pipeline crack propagation velocity are at least one of pipeline wall thickness, pipeline diameter, and pipeline material roughness.

[53] In one possible implementation, key parameters affecting CO2 pipeline crack propagation velocity include pipeline wall thickness, pipeline diameter, and pipeline material roughness.

[54] Where, pipeline wall thickness and pipeline diameter are interrelated. For pipelines with large-diameter, a thicker wall thickness helps improve the resistance to crack propagation. However, in some cases, a pipeline with an excessive thickness may lead to stress concentration, increasing the risk of crack initiation. Therefore, it is necessary to find a balance between pipeline diameter and pipeline wall thickness to ensure the safety and economy of pipelines during operation. However, regardless of a thick pipeline wall or a large pipeline diameter, the risk of crack propagation remains high if the material toughness is poor. Therefore, the selection of an appropriate material and the improvement of pipeline roughness are crucial for delaying crack propagation.

[55] Step 12: obtaining a second relationship diagram based on a full-scale burst test database.

[56] Where, the second relationship diagram obtained based on an actual burst test represents a relationship between the comprehensive characterization parameters of the pipeline crack propagation velocity and the dynamic crack arrest ratio.

[57] In this step, based on the operating condition information of the CO2 pipeline and the corresponding crack propagation data in the full-scale burst test, the relationship diagram between the comprehensive characterization parameters of the pipeline crack propagation velocity and the dynamic crack arrest ratio in the actual test is plotted using a plotting software.

[58] Where, the full-scale burst test is a test in which burst is conducted on full-scale pipeline specimens in a laboratory or on site to simulate a rupture behavior of the CO2 pipeline under extreme operating conditions. Actual crack propagation velocities and processes as well as relevant operating data (such as pressure, temperature, and crack characteristics) during pipeline rupture are recorded in the full-scale burst test database. The dynamic crack arrest ratio in the second relationship diagram is a dimensionless dynamic crack arrest ratio.

[59] Step 13: fitting the first relationship diagram and the second relationship diagram to obtain a crack propagation velocity prediction formula.

[60] In this step, the first relationship diagram and the second relationship diagram are placed in the same diagram to show a mathematical relationship between the relationship, obtained based on the numerical simulation, of the comprehensive characterization parameters of the pipeline crack propagation velocity to the dynamic crack arrest ratio and the relationship, obtained based on the actual test, of the comprehensive characterization parameters of the pipeline crack propagation velocity to the dynamic crack arrest ratio. Then, the first relationship diagram is fitted against the second relationship diagram to obtain an optimal fitting curve, thereby obtaining a crack propagation velocity prediction formula.

[61] Where, the crack propagation velocity prediction formula is a mathematical formula corresponding to the optimal fitting curve. This formula may be used to comprehensively estimate CO2 pipeline crack propagation velocity based on the dynamic crack arrest ratio and other key parameters affecting crack propagation.

[62] Step 14: taking different values of each key parameter under a same operating condition, determining crack propagation velocities corresponding to respective values according to the crack propagation velocity prediction formula, and obtaining a crack propagation velocity curve and a decompression curve.

[63] In this step, for each key parameter affecting the crack propagation velocity (e.g., pipeline wall thickness, pipeline toughness, etc.), different values of the same key parameter are taken under the same operating condition. Crack propagation velocities corresponding to different values are determined according to the crack propagation velocity prediction formula, thereby obtaining a crack propagation velocity curve and a decompression curve.

[64] Where, the crack propagation velocity curve and the decompression curve together constitute a crack arrest duplex curve for the subsequent determination of the crack arrest index of the CO2 pipeline. The decompression curve described above is plotted using a decompression curve plotting software according to component content, initial pressure, and initial temperature of a medium (i.e., a medium transported using a CO2 pipeline).

[65] In one possible implementation, the preset operating condition information of the CO2 pipeline (including medium component content, initial pressure, etc.) is inputted into a decompression curve plotting software to obtain a decompression curve, where the decompression curve plotting software may be, for example, Matlab, Python, CoolProp, etc.

[66] In one possible implementation, under an operating condition of a pipeline wall thickness of 120 mm, a pipeline diameter of DN500 mm, and a delivery pressure of 8 MPa, a pipeline material toughness is set to 200 J and 220 J, and then the operating condition information (e.g., data information such as pipeline wall thickness and pipeline diameter) is inputted into the crack propagation velocity prediction formula to obtain crack propagation velocities under different pipeline material toughness values at different dynamic pressures in this operating condition, thereby obtaining a crack propagation velocity curve corresponding to the pipeline material toughness of 200 J and a crack propagation velocity curve corresponding to the pipeline material toughness of 220 J.

[67] Step 15: determining a crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter.

[68] In this step, a crack arrest index (an optimal value of each key parameter) corresponding to each key parameter is determined according to the crack propagation velocity curve and the decompression curve that are corresponding to different values of each key parameter.

[69] Where, the crack arrest index is an important index for evaluating the safety of CO2 pipelines, indicating whether a pipeline can effectively prevent crack propagation to an extent that the pipeline structure is endangered under specific operating conditions.

[70] Optionally, step 15 may be implemented as follows.

[71] For each key parameter, a value of the key parameter at a tangent point between the crack propagation velocity curve and the decompression curve that are corresponding to the key parameter is identified as the crack arrest index corresponding to the key parameter.

[72] In this implementation, for the crack propagation velocity curve and the decompression curve that are corresponding to different values of each key parameter, the tangent point between the crack propagation velocity curve and the decompression curve is obtained. The value of the key parameter corresponding to the crack propagation velocity curve that has a tangent point with the decompression curve is identified as the crack arrest index corresponding to the key parameter.

[73] In one possible implementation, values for the pipeline material toughness parameter are taken as 100 J, 200 J, and 300 J, and crack propagation velocity curves corresponding to the pipeline material toughness of 100 J, 200 J, and 300 J are plotted, respectively. If the crack propagation velocity curve corresponding to the pipeline material toughness of 200 J has a tangent point with the decompression curve, the crack arrest index corresponding to the pipeline material toughness is 200 J.

[74] The embodiments of the present application provide a method for determining a crack arrest index value of a CO2 pipeline. In the method, firstly numerical simulation is performed based on preset operating condition information of a CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram; then a second relationship diagram is obtained based on a full-scale burst test database; the first relationship diagram is fitted against the second relationship diagram to obtain a crack propagation velocity prediction formula; different values for each key parameter are taken under a same operating condition, crack propagation velocities corresponding to respective values are determined according to the crack propagation velocity prediction formula, and a crack propagation velocity curve and a decompression curve are obtained; and finally a crack arrest index corresponding to each key parameter is determined according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter. In this technical solution, CO2 pipeline crack propagation velocity is predicted by establishing a mathematical model. The crack propagation velocity prediction formula is determined by fitting the diagrams, obtained from the numerical simulation as well as the actual burst test, of the relationship between comprehensive characterization parameters of pipeline crack propagation velocity and dynamic crack arrest ratio. Furthermore, in the combination of the formula with the crack propagation velocity curve and decompression curve that are corresponding to different values of each key parameter, each pipeline crack arrest index is determined. This achieves the technical effects of effectively evaluating the safety of CO2 pipelines under different operating conditions and economically and efficiently obtaining crack arrest index values of CO2 pipelines.

[75] Based on the above embodiments, FIG. 2 is a schematic flowchart II of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application. As shown in FIG. 2, the method may include the following steps.

[76] Step 21: combining the first relationship diagram and the second relationship diagram into a same diagram, adjusting parameters on a dimension where the comprehensive characterization parameters of the pipeline crack propagation velocity are located until the first relationship diagram and the second relationship diagram achieve an optimal fitting effect, and obtaining optimal curve parameters according to a fitting result.

[77] In this step, the first relationship diagram and the second relationship diagram are combined in the same diagram by using a plotting software, making the influence relationship between the numerical simulation data and the actual test data on the crack propagation velocity clearer. Then parameters on a dimension, where the comprehensive characterization parameters of the pipeline crack propagation velocity are located, are adjusted, so as to achieve an optimal fitting effect between the numerical simulation data and the actual test data. Finally, optimal curve parameters are determined according to parameters corresponding to the optimal fitting effect.

[78] Where, the dimension where comprehensive characterization parameters of pipeline crack propagation velocity are located is the x-axis of the combined diagram, and the y-axis in the combined diagram is the dimensionless dynamic crack arrest ratio.

[79] A formula of the comprehensive characterization parameters of the pipeline crack propagation velocity is:where, Vf is a crack propagation velocity; is a rheological stress of a material, is an impact toughness of a Charpy V-Notch (CVN) impact specimen, and Ac is a ligament area of a Charpy impact specimen.

[80] In one possible implementation, FIG. 3 is a combined diagram of a first relationship diagram and a second relationship diagram according to an embodiment of the present application. In FIG. 3, each circle represents numerical simulation data corresponding to one piece of pipeline operating condition information, indicating the relationship between comprehensive characterization parameters of pipeline crack propagation velocity and dynamic crack arrest ratio, and each “×” represents actual test data corresponding to one piece of pipeline operating condition information, indicating the relationship between comprehensive characterization parameters of pipeline crack propagation velocity and dynamic crack arrest ratio.

[81] Step 22: obtaining the crack propagation velocity prediction formula according to the optimal curve parameters.

[82] In this step, the crack propagation velocity prediction formula is obtained according to the optimal curve parameters corresponding to the optimal fitting curve, thereby facilitating the subsequent acquisition of the crack arrest index value of the CO2 pipeline in combination with the crack propagation velocity curve and the decompression curve.

[83] In one possible implementation, the crack propagation velocity prediction formula is:where, is a pipeline toughness, , Pais a crack arrest pressure, and Pd is a depressurization pressure of a medium.

[84] A formula for the crack arrest pressure is as follows:where, D is a pipeline diameter, t is a pipeline wall thickness, and E is an elastic modulus of a pipeline material.

[85] Optionally, step 22 may be implemented as follows.

[86] Step 1: obtaining an initial crack propagation velocity prediction formula according to the optimal curve parameters.

[87] In this step, the initial crack propagation velocity prediction formula corresponding to the optimal curve parameters is obtained according to the optimal curve parameters corresponding to the optimal fitting effect. This formula is used to reflect the crack propagation characteristics under information of different operating conditions.

[88] Step 2: inputting operating condition information from the full-scale burst test database into the initial crack propagation velocity prediction formula to calculate a predicted crack propagation velocity.

[89] In this step, actual test data information that falls within a preset operating condition information range is identified by searching the operating condition information from the full-scale burst test database, and then the actual test data information that falls within the preset operating condition information range is inputted into the initial crack propagation velocity prediction formula to calculate predicted crack propagation velocity.

[90] In one possible implementation, one piece of preset actual test data information includes a pipeline wall thickness of 10 mm, a pipeline diameter of DN800 mm, a pipeline toughness of 200 J, and an initial pressure of 6 MPa, and thus the calculated a predicted crack propagation velocity is 100 m / s.

[91] Step 3: performing an error comparison between an actual crack propagation velocity corresponding to the operating condition information from the full-scale burst test database and the predicted crack propagation velocity.

[92] In this step, actual crack propagation velocity data that falls within a preset operating condition information range is identified by searching the operating condition information from the full-scale burst test database, and then the error between the actual crack propagation velocity and the predicted crack propagation velocity is obtained.

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

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

[95] Step 4: determining the initial crack propagation velocity prediction formula as the crack propagation velocity prediction formula when an error between the actual crack propagation velocity and the predicted crack propagation velocity is less than a preset error.

[96] In this step, when an error between the actual crack propagation velocity and the predicted crack propagation velocity is less than a preset error, it indicates that the initial crack propagation velocity prediction formula is accurate and reliable. Therefore, the initial crack propagation velocity prediction formula can be determined as the crack propagation velocity prediction formula for the subsequent determination of the crack arrest index value of the CO2 pipeline.

[97] Where, the preset error is set to ±20%.

[98] In one possible implementation, an actual crack propagation velocity is 120 m / s, a predicted crack propagation velocity is 100 m / s, and an error is 16.7%; an actual crack propagation velocity is 110 m / s, a predicted crack propagation velocity is 100 m / s, and an error is 9%, thereby leading to an average error of 12.85%, which is less than the preset error of 20%. Therefore, the initial crack propagation velocity prediction formula may be determined as the crack propagation velocity prediction formula.

[99] The embodiments of the present application provide a method for determining a crack arrest index value of a CO2 pipeline. In the method, first relationship diagram and the second relationship diagram are combined into a same diagram; parameters on a dimension where the comprehensive characterization parameters of the pipeline crack propagation velocity are located are adjusted until the first relationship diagram and the second relationship diagram achieve an optimal fitting effect; optimal curve parameters according to a fitting result are obtained; and then the crack propagation velocity prediction formula is obtained according to the optimal curve parameters. In this technical solution, the combination of the two relationship diagrams and the adjustment of the comprehensive characterization parameters of the pipeline crack propagation velocity result in an optimal model fitting effect and thus the crack propagation velocity prediction formula is obtained. This achieves the technical effects of accurately reflecting the relationship between crack propagation velocity and multiple parameters, and providing support for the design of crack arrest index values of CO2 pipelines.

[100] Based on the above embodiments, FIG. 4 is a schematic flowchart III of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application. As shown in FIG. 4, the method may include the following steps.

[101] Step 31: performing numerical simulation calculations on the preset operating condition information of the CO2 pipeline to obtain data information that is corresponding to different parameters and is obtained from simulation under different operating conditions.

[102] Where, the data information includes crack propagation velocities and crack propagation times.

[103] In this step, numerical simulation calculations are performed on the preset operating condition information of the CO2 pipeline, crack propagation velocities and crack propagation times are calculated under different operating conditions, and crack propagation velocities and crack propagation times under different operating conditions are recorded as numerical data, thereby obtaining data information that is corresponding to different parameters and is obtained from simulation under different operating conditions.

[104] In one possible implementation, one piece of information of an operating condition 1 of the CO2 pipeline is as follows: a pipeline diameter of DN160 mm, a pipeline wall thickness of 15 mm, a pipeline material toughness of 300 J, and a delivery pressure of 8 MPa; one piece of information of an operating condition 2 of the CO2 pipeline is as follows: a pipeline diameter of DN180 mm, a pipeline wall thickness of 26 mm, a pipeline material toughness of 300 J, and a delivery pressure of 10 MPa. These pieces of operating condition information are inputted into a finite element analysis software (i.e., numerical simulation software) to perform numerical simulation calculations, thereby obtaining crack propagation data information under the operating condition 1 with a crack propagation velocity of 50 m / s and a crack propagation time of 10 s, and obtaining crack propagation data information under the operating condition 2 with a crack propagation velocity of 55 m / s and a crack propagation time of 8 s.

[105] Step 32: plotting, by using a preset plotting software, an influence relationship diagram between the dynamic crack arrest ratio and the pipeline crack propagation velocity according to the data information that is corresponding to the different parameters and is obtained from simulation under the different operating conditions.

[106] In this step, data information that is corresponding to different parameters and is obtained from numerical simulation calculations under different operating conditions is used to calculate dynamic crack arrest ratio. The dynamic crack arrest ratio used as a parameter, together with the data information are inputted into a plotting software to obtain an influence relationship diagram between dynamic crack arrest ratio and pipeline crack propagation velocity for different parameters under different operating conditions, where the influence relationship diagram represents a variation trend of crack propagation velocity under different operating conditions.

[107] Where, the plotting software may be Matlab, Python (using the Matplotlib library), Origin, etc.

[108] In one possible implementation, the embodiment of the present application adopts Origin software as the plotting software.

[109] Step 33: determining the at least one key parameter affecting the CO2 pipeline crack propagation velocity according to the influence relationship diagram.

[110] In this step, by observing the influence relationship diagram between dynamic crack arrest ratio and CO2 pipeline crack propagation velocity, an analysis is performed to determine which parameters affect crack propagation velocity, thereby determining at least one key parameter affecting CO2 pipeline crack propagation velocity.

[111] Where, FIG. 5 is an influence relationship diagram between dynamic crack arrest ratio and pipeline crack propagation velocity according to an embodiment of the present application, where the dynamic crack arrest ratio depends on pipeline wall thickness and pipeline diameter. As shown in FIG. 5, the diagram (a) is an influence relationship diagram between dynamic crack arrest ratio and pipeline crack propagation velocity under pipeline wall thicknesses, and the diagram (b) is an influence relationship diagram between dynamic crack arrest ratio and pipeline crack propagation velocity under pipeline diameters, the diagram (c) is an influence relationship diagram between dynamic crack arrest ratio and pipeline crack propagation velocity under impact toughness.

[112] As shown in FIG. 5, when the same dynamic crack arrest ratio (i.e., the same ordinate value) is taken under different pipeline wall thicknesses, crack propagation velocities are different. Similarly, when the same dynamic crack arrest ratio is taken under different pipeline diameters, crack propagation velocities are also different, indicating that both pipeline wall thickness and pipeline diameter are key parameters affecting CO2 pipeline crack propagation velocity.

[113] In one possible implementation, key parameters affecting CO2 pipeline crack propagation velocity are pipeline diameter, pipeline wall thickness, and pipeline material toughness.

[114] Step 34: performing standardization processing on data information that is corresponding to the key parameter and is obtained from simulation under the same operating condition; and plotting, by using the preset plotting software, the first relationship diagram according to standardized data information corresponding to respective operating conditions.

[115] In this step, standardization processing is performed on the data information corresponding to each key parameter under different operating conditions for the purpose of comparison and visualization. Then, the first relationship diagram is re-plotted from the standardized data using the plotting software.

[116] Where, the standardization processing may be min-max standardization, in which data is scaled to a specified range. The standardization processing may also be zero-mean standard deviation standardization, in which a mean value of data is removed and the result is scaled to unit standard deviation, allowing data to be compared on the same scale and thereby avoiding deviations caused by different dimensions or scale differences in the raw data.

[117] In one possible implementation, the horizontal axis of the first relationship diagram represents comprehensive characterization parameters of pipeline crack propagation velocity, and the vertical axis represents dimensionless dynamic crack arrest ratio.

[118] Where, the data corresponding to both the horizontal axis and vertical axis in the first relationship diagram are standardized data, facilitating comparison across different operating conditions.

[119] The embodiments of the present application provide a method for determining a crack arrest index value of a CO2 pipeline. The method includes the followings. Numerical simulation calculations are performed on the preset operating condition information of the CO2 pipeline to obtain data information that is corresponding to different parameters and is obtained from simulation under different operating conditions. An influence relationship diagram between the dynamic crack arrest ratio and the pipeline crack propagation velocity is plotted by using a preset plotting software based on the data information that is corresponding to different parameters and is obtained from simulation under different operating conditions. At least one key parameter affecting the CO2 pipeline crack propagation velocity is determined based on the influence relationship diagram. Finally, standardization processing is performed on the data information that is corresponding to different key parameters and is obtained from simulation under the same operating condition, and the first relationship diagram is plotted by using the preset plotting software according to standardized data information corresponding to respective operating conditions. In the technical solution, crack propagation velocities and crack propagation times under different operating conditions are calculated using numerical simulation. Then a relationship diagram, which is corresponding to different operating condition parameters, between crack propagation velocity and dynamic crack arrest ratio is plotted, thereby determining key parameters affecting crack propagation velocity. The data corresponding to each key parameter under different operating conditions is standardized, helping to clarify the relative influence of each key parameter on crack propagation velocity under different operating conditions. This achieves the technical effects of comprehensively evaluating the influence of key parameters on crack propagation velocity of CO2 pipelines under different operating conditions, and providing data support for the design of crack arrest index values of CO2 pipelines.

[120] Based on the above embodiments, FIG. 6 is a schematic flowchart IV of a method for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application. As shown in FIG. 6, the method may include the following steps.

[121] Step 41: obtaining crack propagation velocities and crack propagation times corresponding to the key parameter under different operating conditions from the full-scale burst test database.

[122] In this step, crack propagation velocities and crack propagation times corresponding to each key parameter under different operating conditions within a set operating condition range of a CO2 pipeline (as shown in Table 1) are obtained from the full-scale burst test database, serving as a basis for further analysis.

[123] In one possible implementation, one piece of data information under an operating condition 3 obtained from the full-scale burst test database is as follows: a pipeline diameter of DN170 mm, a pipeline wall thickness of 13 mm, a pipeline material toughness of 400 J, a crack propagation velocity of 82 m / s, and a crack propagation time of 10 s.

[124] Step 42: performing standardization processing on data information that is corresponding to each key parameter and is obtained from the test under the same operating condition; and plotting, by using the preset plotting software, the second relationship diagram according to standardized data information corresponding to respective operating conditions.

[125] In this step, standardization processing is performed on data information corresponding to each key parameter obtained from a test under the same operating condition, to eliminate dimensional and scale differences between different data, thereby enabling cross-comparison and analysis of the data. Then, the second relationship diagram is plotted by using the preset plotting software according to standardized data information, to determine a relationship, corresponding to each key parameter under different operating conditions, between crack propagation velocity and dynamic crack arrest ratio.

[126] In one possible implementation, the embodiment of the present application adopts min-max standardization to perform standardization processing on the data information.

[127] The embodiments of the present application provide a method for determining a crack arrest index value of a CO2 pipeline. The method includes the followings. Crack propagation velocities and crack propagation times corresponding to different parameters under different operating conditions are obtained from the full-scale burst test database. Then, standardization processing is performed on data information that is corresponding to different key parameters and is obtained from a test under the same operating condition. The second relationship diagram is plotted by using the preset plotting software according to standardized data information corresponding to respective operating conditions. In this technical solution, standardization processing is performed on data information that is corresponding to preset operating conditions and is extracted from the test database and the second relationship diagram is plotted, facilitating subsequent fitting analysis with the first relationship diagram to study the influence of each key parameter on crack propagation velocity under different operating conditions.

[128] The following is an embodiment of an apparatus of the present application, which may be used to execute the embodiments of the method of the present application. For details not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.

[129] FIG. 7 is a schematic structural diagram of an apparatus for determining a crack arrest index value of a CO2 pipeline according to an embodiment of the present application. The apparatus includes:a first acquiring module 71, configured to perform numerical simulation based on preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram, where the first relationship diagram simulated based on the preset operating condition information represents a relationship between comprehensive characterization parameters of the pipeline crack propagation velocity and a dynamic crack arrest ratio;a second acquiring module 72, configured to obtain a second relationship diagram based on a full-scale burst test database, where the second relationship diagram obtained based on an actual burst test represents a relationship between the comprehensive characterization parameters of the pipeline crack propagation velocity and the dynamic crack arrest ratio;a third acquiring module 73, configured to fit the first relationship diagram and the second relationship diagram to obtain a crack propagation velocity prediction formula;a processing module 74, configured to take different values of each key parameter under a same operating condition, determine crack propagation velocities corresponding to respective values according to the crack propagation velocity prediction formula, and obtain a crack propagation velocity curve and a decompression curve; anda determining module 75, configured to determine a crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter.

[130] In one possible implementation, the third acquiring module 73, is specifically configured to:combine the first relationship diagram and the second relationship diagram into a same diagram, adjust parameters on a dimension where the comprehensive characterization parameters of the pipeline crack propagation velocity are located until the first relationship diagram and the second relationship diagram achieve an optimal fitting effect, and obtain optimal curve parameters according to a fitting result; andobtain the crack propagation velocity prediction formula according to the optimal curve parameters.

[131] In one possible implementation, the third acquiring module 73 obtaining the crack propagation velocity prediction formula according to the optimal curve parameters, is specifically configured to:obtain an initial crack propagation velocity prediction formula according to the optimal curve parameter;input operating condition information from the full-scale burst test database into the initial crack propagation velocity prediction formula to calculate a predicted crack propagation velocity;perform an error comparison between an actual crack propagation velocity corresponding to the operating condition information from the full-scale burst test database and the predicted crack propagation velocity; anddetermine the initial crack propagation velocity prediction formula as the crack propagation velocity prediction formula when an error between the actual crack propagation velocity and the predicted crack propagation velocity is less than a preset error.

[132] In one possible implementation, the at least one key parameter includes at least one of: pipeline wall thickness, pipeline diameter, and pipeline material toughness.

[133] In one possible implementation, the first acquiring module 71, is specifically configured to:perform numerical simulation calculations based on the preset operating condition information of the CO2 pipeline to obtain data information that is corresponding to different parameters and is obtained from simulation under different operating conditions, where the data information includes crack propagation velocities and crack propagation times;plot, by using a preset plotting software, an influence relationship diagram between the dynamic crack arrest ratio and the pipeline crack propagation velocity according to the data information that is corresponding to the different parameters and is obtained from simulation under the different operating conditions;determine the at least one key parameter affecting the CO2 pipeline crack propagation velocity according to the influence relationship diagram;perform standardization processing on the data information that is corresponding to each key parameter and is obtained from simulation under the same operating condition; and plot, by using the preset plotting software, the first relationship diagram according to standardized data information corresponding to respective operating conditions.

[134] In one possible implementation, the second acquiring module 72, is specifically configured to:obtain crack propagation velocities and crack propagation times corresponding to each key parameter under different operating conditions from the full-scale burst test database;perform standardization processing on data information that is corresponding to each key parameter and is obtained from the test under the same operating condition; and plot, by using the preset plotting software, the second relationship diagram according to standardized data information corresponding to respective operating conditions.

[135] In one possible implementation, the determining module 75, is specifically configured to:identifying a value of each key parameter at a tangent point between the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter as the crack arrest index corresponding to each key parameter.

[136] The apparatus provided in the embodiments of the present application may be used to execute the determination method described in any of the above embodiments. The implementation principles and technical effects of both two are similar, and will not be repeated here.

[137] It should be noted that it is to be understood that the division of the various modules in the above apparatus is merely a logical function division, and in actual implementation, they may be wholly or partially integrated into one physical entity, or may be physically separated. Moreover, these modules may all be implemented in the form of software invoked by processing components; they may all be implemented in hardware; or some modules may be implemented in the form of software invoked by processing components, while other modules may be implemented in hardware. Furthermore, all or some of these modules may be integrated together or implemented independently. The processing component referred to herein may be an integrated circuit having the ability to process signals. During implementation, the steps of the above method or the above modules may be implemented by integrated logic circuits in hardware of processing components or by instructions in the form of software.

[138] FIG. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in FIG. 8, the electronic device may include: a processor 81, a memory 82 and computer-executable instructions stored in the memory 82 and executed by the processor 81; and the method described any of the aforementioned embodiments is implemented when the processor 81 executes the computer-executable instructions.

[139] Optionally, the various components of the electronic device described above may be connected via a system bus.

[140] The memory 82 may be a separate storage unit or a storage unit integrated in the processor 81. The number of processors 81 may be one or more.

[141] It should be understood that the processor 81 may be a central processing unit (CPU), or other general-purpose processors 81, a digital signal processor (DSP) 81, an application specific integrated circuit (ASIC), etc. A general-purpose processor 81 may be a microprocessor 81, or the processor 81 may be any conventional processor 81, etc. The steps of the method disclosed in the present application may be directly implemented as being executed by a hardware processor 81, or executed by a combination of hardware and software modules in the processor 81.

[142] The system bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. System buses may be divided into address buses, data buses, control buses, etc. For ease of representation, only one thick line is used in the figures to represent a bus, but this does not mean that there is only one bus or one type of bus. The memory 82 may include random access memory (RAM), and may also include non-volatile memory (NVM), such as at least one disk storage device 82.

[143] All or part of the steps for implementing the various method embodiments described above may be completed by hardware associated with program instructions. The aforementioned program may be stored in a readable memory 82. When the program is executed, the steps included in the various method embodiments described above are implemented. The aforementioned memory 82 (storage medium) includes: read-only memory (read-only memory, ROM) 82, RAM, flash memory 82, a hard disk, a solid-state drive, magnetic tape, a floppy disk (English: loppy disk), an optical disc (English: optical disk), and any combination thereof.

[144] The electronic device provided in the embodiments of the present application may be used to execute the method provided in any of the method embodiments described above, and their implementation principles and technical effects are similar, and will not be repeated here.

[145] The embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions, when running on a computer, enable the computer to implement the aforementioned method.

[146] The aforementioned computer-readable storage medium may 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 memory, flash memory, magnetic disk, or optical disk. The readable storage medium may be any available medium that may be accessed by a general-purpose or special-purpose computer.

[147] Optionally, the readable storage medium is coupled to a processor, enabling the processor to read information from the readable storage medium and write information to the readable storage medium. Naturally, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (ASIC). Naturally, the processor and the readable storage medium may also exist as discrete components in a device.

[148] The embodiments of the present application further provide a computer program product. The computer program product includes a computer program stored in a computer-readable storage medium, where at least one processor may read the computer program from the computer-readable storage medium, and when at least one processor executes the computer program, the aforementioned method may be implemented.

[149] It should be understood that the present application is not limited to the precise structures described above and illustrated in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims. 

Claims

1. 1. A method for determining a crack arrest index value of a CO2 pipeline, comprising:performing numerical simulation based on preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram, wherein the first relationship diagram simulated based on the preset operating condition information represents a relationship between comprehensive characterization parameters of the pipeline crack propagation velocity and a dynamic crack arrest ratio;obtaining a second relationship diagram based on a full-scale burst test database, wherein the second relationship diagram obtained based on an actual burst test represents a relationship between the comprehensive characterization parameters of the pipeline crack propagation velocity and the dynamic crack arrest ratio;fitting the first relationship diagram and the second relationship diagram to obtain a crack propagation velocity prediction formula;taking different values of each key parameter under a same operating condition, determining crack propagation velocities corresponding to respective values according to the crack propagation velocity prediction formula, and obtaining a crack propagation velocity curve and a decompression curve; anddetermining a crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter. 

2. <p>2. The method according to claim 1, wherein the fitting the first relationship diagram and the second relationship diagram to obtain the crack propagation velocity prediction formula comprises:combining the first relationship diagram and the second relationship diagram into a same diagram, adjusting parameters on a dimension where the comprehensive characterization parameters of the pipeline crack propagation velocity are located until the first relationship diagram and the second relationship diagram achieve an optimal fitting effect, and obtaining optimal curve parameters according to a fitting result; andobtaining the crack propagation velocity prediction formula according to the optimal curve parameters. 

3. <p>3. The method according to claim 2, wherein the obtaining the crack propagation velocity prediction formula according to the optimal curve parameters comprises:obtaining an initial crack propagation velocity prediction formula according to the optimal curve parameters;inputting operating condition information from the full-scale burst test database into the initial crack propagation velocity prediction formula to calculate a predicted crack propagation velocity;performing an error comparison between an actual crack propagation velocity corresponding to the operating condition information from the full-scale burst test database and the predicted crack propagation velocity; anddetermining the initial crack propagation velocity prediction formula as the crack propagation velocity prediction formula when an error between the actual crack propagation velocity and the predicted crack propagation velocity is less than a preset error. 

4. 4. The method according to any one of claims 1 to 3, wherein the at least one key parameter comprises at least one of pipeline wall thickness, pipeline diameter, and pipeline material toughness. 

5. <p>5. The method according to any one of claims 1 to 4, wherein the performing the numerical simulation on the preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting the CO2 pipeline crack propagation velocity, and to obtain the first relationship diagram comprises:performing numerical simulation calculations based on the preset operating condition information of the CO2 pipeline to obtain data information that is corresponding to different parameters and is obtained from simulation under different operating conditions, wherein the data information comprises crack propagation velocities and crack propagation times;plotting, by using a preset plotting software, an influence relationship diagram between the dynamic crack arrest ratio and the pipeline crack propagation velocity according to the data information that is corresponding to the different parameters and is obtained from simulation under the different operating conditions;determining the at least one key parameter affecting the CO2 pipeline crack propagation velocity according to the influence relationship diagram;performing standardization processing on data information that is corresponding to each key parameter and is obtained from simulation under the same operating condition; and plotting, by using the preset plotting software, the first relationship diagram according to standardized data information corresponding to respective operating conditions. 

6. <p>6. The method according to any one of claims 1 to 5, wherein the obtaining the second relationship diagram based on the full-scale burst test database comprises:obtaining crack propagation velocities and crack propagation times corresponding to each key parameter under different operating conditions from the full-scale burst test database;performing standardization processing on data information that is corresponding to each key parameter and is obtained from the test under the same operating condition; and plotting, by using the preset plotting software, the second relationship diagram according to standardized data information corresponding to respective operating conditions. 

7. 7. The method according to any one of claims 1 to 6, wherein the determining the crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter comprises:identifying a value of each key parameter at a tangent point between the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter as the crack arrest index corresponding to each key parameter. 

8. <p>8. An apparatus for determining a crack arrest index value of a CO2 pipeline, comprising:a first acquiring module, configured to perform numerical simulation based on preset operating condition information of the CO2 pipeline to obtain at least one key parameter affecting a CO2 pipeline crack propagation velocity, and to obtain a first relationship diagram, wherein the first relationship diagram represents a relationship between comprehensive characterization parameters of the pipeline crack propagation velocity simulated based on the preset operating condition information and a dynamic crack arrest ratio;a second acquiring module, configured to obtain a second relationship diagram based on a full-scale burst test database, wherein the second relationship diagram represents a relationship between the comprehensive characterization parameters of the pipeline crack propagation velocity obtained based on an actual burst test and the dynamic crack arrest ratio;a third acquiring module, configured to fit the first relationship diagram and the second relationship diagram to obtain a crack propagation velocity prediction formula;a processing module, configured to take different values of each key parameter under a same operating condition, determine crack propagation velocities corresponding to respective values according to the crack propagation velocity prediction formula, and obtain a crack propagation velocity curve and a decompression curve; anda determining module, configured to determine a crack arrest index corresponding to each key parameter according to the crack propagation velocity curve and the decompression curve that are corresponding to each key parameter. 

9. <p>9. An electronic device, comprising a processor, and a memory communicatively connected to the processor;wherein the memory stores computer-executable instructions; andthe method according to any one of claims 1 to 7 is implemented when the computer-executable instructions stored in the memory is executed by the processor.  

10. 10. A computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the method according to any one of claims 1 to 7 is implemented when the computer-executable instructions are executed by a processor. 

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