Bainite steel circumferential weld impact toughness prediction method and related equipment
By conducting strain impact experiments and data fitting on bainite steel ring weld samples, the relationship between strain value and impact absorption work was established, which solved the problem that traditional evaluation methods could not accurately reflect the impact of strain, and achieved efficient prediction of ring weld impact toughness during pipeline assembly.
Patent Information
- Application Number
- CN202411548995.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-03-25
AI Technical Summary
The traditional method of impact toughness evaluation of ring welds cannot accurately reflect the impact of strain on the impact performance of ring welds during pipeline assembly, and the prior art is difficult to predict the impact toughness of ring welds during service.
By conducting strain shock experiments on bainite steel ring weld samples, the impact absorption work data corresponding to different strain values were obtained, and the data were classified and fitted based on the form and mechanism of strain embrittlement failure as standard, and the relationship between the strain and impact absorption work was obtained, and the impact toughness of the ring weld was predicted during pipeline assembly.
It realizes that only requires obtaining local strain data to effectively predict the impact absorption work loss of ring welds during pipeline assembly, and has the advantages of simplicity, efficiency and low error rate.
Smart Images
Figure CN119688502A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of mechanical property evaluation of metal materials, and in particular to a method for predicting the impact toughness of a bainitic steel ring weld and related equipment. Background Art
[0002] The increasing demand for high capacity and long life in the oil and gas industry requires that the materials of buried pipelines be able to adapt to harsh service environments and complex stress conditions. For long-distance oil and gas pipelines, good impact toughness is an important guarantee for the safe operation of pipeline equipment. Girth weld joints are the key parts of long-distance oil and gas pipelines. Therefore, girth weld impact toughness is an important indicator for evaluating the performance of long-distance pipelines in service.
[0003] The traditional evaluation of girth weld impact toughness is mainly carried out when sampling failed girth welds before the pipeline is sunk or after an accident. However, the testing method before the pipeline is sunk has the following disadvantages: it ignores the strain effect generated at the girth weld when the pipeline is suspended on site and sunk. The testing method after an accident has the following disadvantages: during the service process, the girth weld of the pipeline steel is inevitably affected by geological settlement, soil movement, thermal expansion and contraction, or cyclic stress fatigue in the diameter direction. That is, the above two methods cannot accurately reflect the influence of the strain on the impact performance of the girth weld during pipeline assembly. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide a method for predicting the impact toughness of a bainitic steel ring weld and related equipment in view of the problems existing in the prior art.
[0005] In a first aspect, the present invention provides a method for predicting the impact toughness of a bainitic steel girth weld, comprising:
[0006] Strain impact tests were conducted on bainitic steel ring weld samples to obtain impact absorption energy data corresponding to different strain amounts;
[0007] The impact absorption energy data are classified based on the strain embrittlement failure form and mechanism;
[0008] Each type of impact energy absorption data and the corresponding strain data are fitted respectively to obtain multiple fitting curves;
[0009] Based on the multi-segment fitting curve, the relationship between the strain and the impact absorbed energy is obtained;
[0010] The strain of the bainitic steel girth weld during pipeline assembly is obtained, and the impact toughness of the girth weld is predicted based on the strain and the relationship.
[0011] The beneficial effect of the present invention is that the impact absorbed energy data corresponding to different strain amounts of the bainitic steel girth weld are obtained by means of strain impact experiments, and then the obtained data are classified and fitted within the category, so as to obtain a relationship between the strain amount and the impact absorbed energy. Therefore, when assembling the pipeline down the trench, only the local strain amount data of the girth weld needs to be obtained, and the impact absorbed energy loss amount of the girth weld can be effectively predicted by using the relationship. The method of the present invention has the advantages of simplicity, high efficiency, and low error rate.
[0012] Based on the above technical solution, the present invention can also be improved as follows.
[0013] Furthermore, strain impact tests were carried out on bainitic steel ring weld samples to obtain impact absorption energy data corresponding to different strain amounts, including:
[0014] A tensile strain test was conducted on a bainite steel ring weld sample under preset room temperature conditions to obtain strain data;
[0015] The Charpy pendulum impact test was carried out on the stretched bainitic steel ring weld samples to obtain the impact absorption energy data corresponding to different strain amounts and the fracture specimens used in the experiment.
[0016] Furthermore, based on the strain embrittlement failure form and mechanism, the impact absorption energy data is classified, including:
[0017] The impact absorbed energy data were classified based on the fracture type of the fractured specimens to obtain different specimen groups.
[0018] Furthermore, different specimen groups include: a weld center impact specimen group, a heat affected zone impact specimen group and a base material impact specimen group.
[0019] Furthermore, the relationship between the strain and the impact absorbed energy is described as follows:
[0020] y=Ax+B
[0021] Wherein, y is the impact absorption energy, unit is J; x is the strain, unit is %; A and B are constants of the target material.
[0022] In a second aspect, the present invention provides a bainitic steel girth weld impact toughness prediction system, comprising:
[0023] A data acquisition module is used to perform strain impact tests on bainite steel ring weld samples to obtain impact absorption energy data corresponding to different strain amounts;
[0024] Data classification module, used to classify impact absorption energy data based on strain embrittlement failure form and mechanism;
[0025] A curve fitting module is used to fit each type of impact energy absorption data and corresponding strain data to obtain multiple fitting curves;
[0026] A relationship determination module obtains a relationship between the strain and the impact absorbed energy based on multiple fitting curves;
[0027] The performance prediction module is used to obtain the strain of the bainitic steel girth weld during pipeline assembly and predict the impact toughness of the girth weld based on the strain and relationship.
[0028] Based on the above technical solution, the present invention can also be improved as follows.
[0029] Furthermore, the data acquisition module is specifically used for:
[0030] A tensile strain test was conducted on a bainite steel ring weld sample under preset room temperature conditions to obtain strain data;
[0031] The Charpy pendulum impact test was carried out on the stretched bainitic steel ring weld samples to obtain the impact absorption energy data corresponding to different strain amounts and the fracture specimens used in the experiment.
[0032] Furthermore, the relationship between the strain and the impact absorbed energy is described as follows:
[0033] y=Ax+B
[0034] Wherein, y is the impact absorption energy, unit is J; x is the strain, unit is %; A and B are constants of the target material.
[0035] In a third aspect, the present invention provides a computer-readable storage medium, comprising instructions, which, when executed on a computer, enable the computer to execute the method for predicting the impact toughness of a bainitic steel ring weld as provided in the above technical solution.
[0036] In a fourth aspect, the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for predicting the impact toughness of a bainitic steel ring weld as provided in the above technical solution is implemented.
[0037] In a fifth aspect, the present invention further provides a computer program product, the computer program product comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method for predicting the impact toughness of a bainitic steel ring weld provided by the above solution.
[0038] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 A flow chart of a method for predicting the impact toughness of a bainitic steel girth weld according to an embodiment of the present invention;
[0040] Figure 2 for Figure 1 A flowchart of step S1 in the illustrated embodiment in an exemplary embodiment;
[0041] Figure 3 A relationship diagram between strain and impact absorbed work provided by an embodiment of the present invention;
[0042] Figure 4 A block diagram of a bainitic steel ring weld impact toughness prediction system provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0043] The following describes the embodiments of the present disclosure through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The present disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.
[0044] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.
[0045] As the most important long-distance transportation method for oil and natural gas, pipeline transportation plays a very important role in the petrochemical industry. The safe operation of pipelines is related to the national energy strategic security and is a necessary condition for ensuring the normal supply of social energy. Once oil and gas leak and explode, it often leads to serious production accidents. Therefore, the safety of buried pipelines has always been a topic of research and concern for scholars and engineers at home and abroad. As a key part of connecting pipelines, the changes in impact properties of pipeline steel ring weld joints caused by deformation during assembly and service cannot be ignored. Therefore, exploring the effect of pre-deformation on the impact properties of pipeline steel ring welds is of great significance to clarifying the failure mechanism of pipeline steel during service. In addition, due to the uneven characteristics of the weld structure, the strain is uneven among various tissues, making it more difficult to evaluate the safety of pipeline materials.
[0046] The increasing demand for high capacity and long life in the oil and gas sector urgently requires that the materials of buried pipelines be able to adapt to harsh service environments and complex stress conditions. For long-distance oil and gas pipelines, good impact toughness is an important guarantee for the safe operation of pipeline equipment. Girth weld joints are the key parts for connecting long-distance oil and gas pipelines. Therefore, the impact toughness of girth welds is an important indicator for evaluating the performance of long-distance pipelines in service. Traditional impact toughness evaluation is mainly carried out when sampling failed girth welds before the pipeline is sunk or after an accident, ignoring the influence of strain on the impact performance of girth welds during pipeline assembly.
[0047] To solve the above technical problems, the present invention provides a method and related equipment for predicting the impact toughness of bainitic steel girth welds. The method of the present invention is applicable to predicting the impact toughness of girth welds of bainitic pipeline steel of different grades after local plastic strain.
[0048] The method provided in the embodiment of the present invention can be executed by any electronic device, for example, a terminal device, or jointly executed by a terminal device and a server. The server can be an independent server, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms, etc., and is not limited here.
[0049] Figure 1 The flowchart of the method for predicting the impact toughness of a bainitic steel ring weld is shown as an exemplary embodiment of the present application. Figure 1 As shown, in an exemplary embodiment, the bainite steel ring weld impact toughness prediction may include steps S1 to S5, which are described in detail as follows:
[0050] S1, strain impact test is carried out on bainitic steel ring weld samples to obtain impact absorption energy data corresponding to different strain amounts;
[0051] S2, classify the impact absorption energy data based on the strain embrittlement failure form and mechanism;
[0052] S3, fitting each type of impact energy absorption data and the corresponding strain data to obtain multiple fitting curves;
[0053] S4, based on the multi-segment fitting curve, the relationship between the strain and the impact absorbed energy is obtained;
[0054] S5, obtain the strain of the bainite steel girth weld during pipeline assembly, and predict the impact toughness of the girth weld based on the strain and the relationship.
[0055] The embodiment of the present invention obtains the impact absorbed energy data corresponding to different strain amounts of the bainitic steel girth weld by means of a strain impact test, and then classifies and fits the obtained data within the category, so as to obtain a relationship between the strain amount and the impact absorbed energy. Therefore, when assembling the pipeline down the trench, only the local strain amount data of the girth weld needs to be obtained, and the impact absorbed energy loss of the girth weld can be effectively predicted by using the relationship.
[0056] See also Figure 2 , Figure 2 for Figure 1 Step S1 in the illustrated embodiment is a flow chart in an exemplary embodiment. Figure 2 As shown, step S1 may specifically include steps S11 to S12. The impact absorbed energy data corresponding to different strain amounts are obtained through the above steps, which are described in detail as follows:
[0057] S11, a tensile strain test is performed on a bainitic steel ring weld sample under preset room temperature conditions to obtain strain data.
[0058] Specifically, the tensile strain test of the bainitic steel girth weld sample may include the following steps:
[0059] Step 1: Design the tensile specimen size that meets the national standard according to GB / T 228.1-2021 "Tensile Test of Metallic Materials Part 1: Room Temperature Test Method". When sampling, pay attention to aligning the center of the tensile specimen with the center line of the weld.
[0060] Step 2: Use a mechanical testing machine for pre-strain treatment. You can use a clamped extensometer or video extensometer to control the strain amount and strictly ensure the weld strain amount.
[0061] Step 3: Record the size of the pre-strain and mark the specimen.
[0062] S12, a Charpy pendulum impact test is performed on the stretched bainitic steel ring weld sample to obtain the impact absorption energy data corresponding to different strain amounts and the fracture specimens used in the experiment.
[0063] Specifically, the Charpy pendulum impact test of the stretched bainitic steel ring weld sample can include the following steps: the pre-strained tensile specimen is processed into a standard impact specimen of 10*10*55mm with the marked center line as the center according to GB / T 229.2-2020 "Metallic Materials Charpy Pendulum Impact Test Method", and a "V-shaped" notch is opened at the center line. Subsequently, the Charpy impact test is performed using a metal pendulum impact tester, and the impact absorption energy values corresponding to different strain amounts are recorded.
[0064] The impact absorbed energy data corresponding to different strain values obtained by the embodiment of the present invention in the above manner can more comprehensively evaluate the impact toughness of the material and understand its impact toughness performance under different stress states. Based on these data, the material can be optimized in a targeted manner. For example, the microstructure can be improved by adjusting the composition of the welding wire, improving the welding process parameters, etc., so as to improve its impact absorbed energy under a specific strain value, thereby enhancing its impact resistance during actual service.
[0065] Optionally, Figure 1 Step S2 in the illustrated embodiment may specifically include the following steps in an exemplary embodiment: collecting all strain data, impact absorbed energy data and all fracture specimens used in the Charpy impact test, grouping the impact absorbed energy data after different strain treatments based on the fracture type of the fracture specimens, and grouping the data into weld center impact specimens, heat affected zone impact specimens and base material impact specimens based on the strength matching form of the welded joint and the common failure types of the joints.
[0066] A welded joint is composed of a base material, a weld, and a heat-affected zone. The quality of each area of the joint is crucial to the performance of the welded joint. In engineering design, understanding the impact absorption characteristics of different positions is crucial to ensuring the safety of the structure. By obtaining the impact absorption data at different positions and under different strains, the response and failure mode of the structure when it is impacted can be predicted more accurately, so that corresponding reinforcement measures can be taken to improve the safety of the structure.
[0067] Optionally, Figure 1 Step S3 in the illustrated embodiment may specifically include the following steps in an exemplary embodiment: sorting and fitting the sorted strain data and the impact absorbed energy data, fitting a curve equation of the strain and the impact absorbed energy loss, and performing a corresponding prediction of the impact toughness of the girth weld based on the curve and the equation.
[0068] The embodiment of the present invention can obtain a quantitative relationship between the strain amount and the impact toughness loss amount by collating, analyzing and fitting the data. It can be used to predict the impact toughness loss amount of the girth weld when the pipeline steel is subjected to pre-strain during the hoisting process or the sinking process. At the same time, the impact absorption work of the girth weld under the condition of the corresponding strain amount can be predicted. It can evaluate whether the quality of the pipeline after assembly meets the standard without damaging the girth weld of the pipeline. Reduce the risk of accidents caused by impact damage, thereby reducing economic losses and social impacts.
[0069] The method of the embodiment of the present invention is applicable to the prediction method of the impact toughness of bainitic steel ring welds of various grades with low strength matching, equal strength matching and high strength matching.
[0070] In the embodiment of the present invention, the relationship between the strain and the impact absorbed energy is described as follows:
[0071] y=Ax+B
[0072] Wherein, y is the impact absorption energy, unit is J; x is the strain, unit is %; A and B are constants of the target material.
[0073] Optionally, Figure 1 In the actual assembly process of step S5 in the embodiment shown, the corresponding strain measuring device measures the far end strain or the local strain of the girth weld when the pipe is lowered into the trench, and collects the strain data of all girth welds of the pipe section, which is described in detail as follows:
[0074] 1. Preliminary preparation
[0075] 1. Check the hardware:
[0076] Ensure that the IMC data acquisition equipment, power supply, communication cables (such as network cables or docking cables) and other hardware are intact.
[0077] Check that the Cansas module, Cansas power supply, Can cable (with Termi at both ends) and USB Can interface are complete and functioning properly.
[0078] 2. Connect the hardware:
[0079] Connect the data acquisition device to the power supply correctly and make sure the power is turned on.
[0080] Use network cables or docking cables to connect data acquisition devices to computers or other devices. Network cables are suitable for connecting multiple instruments through a hub, and docking cables are suitable for point-to-point connections between computers and data acquisition devices.
[0081] Insert the USBCan interface into the computer USB port and connect the other end to the Can cable.
[0082] 2. Software Setup and Configuration
[0083] 1. Start the software:
[0084] Open Cansas or other software that comes with your IMC device.
[0085] 2. Configuration parameters:
[0086] In the software interface, configure the data acquisition parameters according to actual needs, such as sampling rate, number of channels, bridge type (quarter bridge, half bridge, full bridge), etc.
[0087] Select the appropriate sensor excitation voltage, such as 2.5V, 5V, 10V, 12V, or 24VDC.
[0088] Set the signal preprocessing method, such as low-pass, high-pass, band-pass filter, etc.
[0089] 3. Establish communication:
[0090] Ensure that the communication between the software and the IMC device is normal. You can judge whether the communication is successfully established by the status indicator or prompt information in the software interface.
[0091] 3. Data Collection and Storage
[0092] 1. Start collecting:
[0093] In the software interface, click "Start Acquisition" or a similar button to start collecting strain data.
[0094] 2. Real-time monitoring:
[0095] During the acquisition process, the data acquisition status can be monitored in real time through the software interface, including data waveform, acquisition rate, etc.
[0096] 3. Data storage:
[0097] After the collection is completed, the data is saved to the specified file or database. You can choose different file formats to save, such as CSV, Excel, etc.
[0098] 4. Data Analysis and Processing
[0099] 1. Data import:
[0100] Import the collected data into data analysis software, such as MATLAB, Python, etc.
[0101] 2. Data processing:
[0102] Process and analyze the collected data, such as filtering, denoising, calibration, etc.
[0103] The built-in high-performance DSP module and OnlineFamos real-time analysis module of the IMC device can be used to perform data analysis and processing, such as arithmetic calculations, calculus calculations, FFT analysis, etc.
[0104] 3. Results:
[0105] Visualize the processed data results, such as drawing charts, generating reports, etc.
[0106] After obtaining the strain data of all girth welds in the pipe section, the impact toughness of the girth welds is predicted based on the relationship between the strain and the impact absorbed energy.
[0107] The embodiment of the present invention is based on a method for collating impact energy data of a large number of different grades of bainitic steel. After collating, fitting and normalizing the data, the method has the ability to predict the impact toughness loss of multi-layer and multi-pass weld ring welds based on single strain variable data. The method of the embodiment of the present invention has the advantages of simplicity, high efficiency and low error rate.
[0108] The following is a detailed introduction to the implementation process of the method for predicting the impact toughness of a bainitic steel ring weld according to an embodiment of the present invention with reference to a specific example. The steps are as follows:
[0109] (1) According to GB / T228.1-2021 "Metallic Materials Tensile Test Part 1: Room Temperature Test Method", the bainitic steel girth weld sample was subjected to tensile strain at room temperature. The relationship between the distal strain of the girth weld and the local strain distribution of the girth weld during the tensile strain process was determined by combining DIC digital image analysis technology.
[0110] It should be noted that the bainitic steel ring weld sample in the embodiment of the present invention can be sampled from one steel material or multiple steel materials, such as X70 steel ring weld, X80 steel ring weld, X65 or X100 pipeline steel ring weld. The pre-stretching curves of different pre-strains of the X80 low-strength matching joint in the embodiment of the present invention are shown in Table 1, and the pre-strain amounts are 0.4%, 1.7%, 2.0%, and 4.0% respectively.
[0111] Table 1
[0112] Pre-strain variable -10℃ impact energy growth rate% 0％ 139J / 0.4％ 49J -64.2 1.7％ 89J -36.0 2％ 10J -93.1 4％ 7J -95.1
[0113] (2) According to GB / T229.2-2020 “Charpy pendulum impact test method for metallic materials”, the impact absorption energy of the X80 low-strength matching girth weld after deformation with different strain amounts was determined;
[0114] (3) During the actual assembly process, the corresponding strain measurement equipment measures the far-end strain or local strain of the girth weld when the pipe is lowered into the trench, and collects the strain data of all girth welds of the pipe section.
[0115] (4) Make a curve of the relationship between pre-strain and impact energy for the data in the table, such as Figure 3 As shown, the linear fitting equation is used to fit the experimental data, and the relationship between the pre-strain and the impact energy can be obtained as follows:
[0116] y=-25.9x+100.8
[0117] Where y is the impact energy, in J; x is the prestrain.
[0118] By substituting the integrated data into the equation y=Ax+B, the residual impact absorption energy corresponding to the strain of each girth weld can be obtained.
[0119] The method for predicting the impact toughness of a bainitic steel girth weld provided in an embodiment of the present invention is applicable to girth welds of bainitic steels of different grades prepared by a flux-cored arc welding (FCAW) process.
[0120] The method for predicting the impact toughness of a bainitic steel ring weld provided in an embodiment of the present invention performs data pre-processing and model correction from the perspectives of joint failure behavior and damage mechanism on the basis of sorting out the impact absorbed energy of a large number of bainitic steels of different grades, thereby fitting a relationship describing the strain and the impact toughness loss, and predicting the impact toughness through the relationship.
[0121] Since the established model gives priority to and discusses the damage and failure mechanism of bainitic steel girth welds, such as the special cases where the girth welds are not affected by aging during the equipment process such as sinking the pipe but are damaged locally due to local plastic strain, the impact toughness prediction of bainitic steel girth welds in long-term service is more in line with the actual situation.
[0122] The impact test experimental results for various bainitic steel ring welds show that: under the test conditions, the impact toughness prediction method provided by the present invention has a high prediction accuracy, especially for the brittle fracture behavior of pipeline steel ring weld joints during long-term service, it has a higher prediction accuracy.
[0123] Figure 4 A block diagram of a system for predicting the impact toughness of a bainitic steel ring weld provided in an embodiment of the present invention. Figure 4 As shown, the bainitic steel ring weld impact toughness prediction system includes:
[0124] A data acquisition module is used to perform strain impact tests on bainite steel ring weld samples to obtain impact absorption energy data corresponding to different strain amounts;
[0125] Data classification module, used to classify impact absorption energy data based on strain embrittlement failure form and mechanism;
[0126] A curve fitting module is used to fit each type of impact energy absorption data and corresponding strain data to obtain multiple fitting curves;
[0127] A relationship determination module obtains a relationship between the strain and the impact absorbed energy based on multiple fitting curves;
[0128] The performance prediction module is used to obtain the strain of the bainitic steel girth weld during pipeline assembly and predict the impact toughness of the girth weld based on the strain and relationship.
[0129] Optionally, the data acquisition module in the bainitic steel ring weld impact toughness prediction system provided by an embodiment of the present invention is specifically used for: performing a tensile strain test on a bainitic steel ring weld sample under preset room temperature conditions to obtain strain data; performing a Charpy pendulum impact test on the stretched bainitic steel ring weld sample to obtain impact absorbed energy data corresponding to different strain amounts and the fracture specimens used in the experiment.
[0130] Optionally, the relationship between the strain and the impact absorbed energy determined in the relationship determination module in the bainitic steel ring weld impact toughness prediction system provided by the embodiment of the present invention is as follows:
[0131] y=Ax+B
[0132] Wherein, y is the impact absorption energy, unit is J; x is the strain, unit is %; A and B are constants of the target material.
[0133] An embodiment of the present invention provides a computer-readable storage medium, comprising instructions, which, when executed on a computer, enable the computer to execute the method for predicting the impact toughness of a bainitic steel ring weld as provided in the above technical solution.
[0134] An embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, a method for predicting the impact toughness of a bainitic steel ring weld as provided in the above technical solution is implemented.
[0135] The embodiment of the present invention also provides a computer program product, which includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the bainitic steel ring weld impact toughness prediction method provided by the above solution.
[0136] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0137] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.
[0138] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.
[0139] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0140] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for predicting the impact toughness of a bainitic steel girth weld, characterized in that: include: Strain impact tests were conducted on bainitic steel ring weld samples to obtain impact absorption energy data corresponding to different strain amounts; The impact absorption energy data are classified based on the strain embrittlement failure form and mechanism; Each type of impact energy absorption data and the corresponding strain data are fitted respectively to obtain multiple fitting curves; Based on the multiple fitting curves, a relationship between the strain and the impact absorbed energy is obtained; The strain of the bainite steel girth weld during pipeline assembly is obtained, and the girth weld impact toughness is predicted based on the strain and the relationship.
2. The method according to claim 1, characterized in that The strain impact test is performed on the bainite steel ring weld sample to obtain the impact absorption energy data corresponding to different strain amounts, including: A tensile strain test was conducted on a bainite steel ring weld sample under preset room temperature conditions to obtain strain data; A Charpy pendulum impact test is performed on the stretched bainite steel ring weld sample to obtain impact absorption energy data corresponding to different strain amounts and the fracture specimens used in the experiment.
3. The method according to claim 2, characterized in that The impact absorption energy data is classified based on the strain embrittlement failure form and mechanism, including: The impact absorbed energy data are classified based on the fracture type of the fractured specimens to obtain different specimen groups.
4. The method according to claim 3, characterized in that The different sample groups include: a weld center impact sample group, a heat affected zone impact sample group and a base material impact sample group.
5. The method according to any one of claims 1 to 4, characterized in that: The relationship between the strain and the impact absorbed energy is as follows: y=Ax+B Wherein, y is the impact absorption energy, unit is J; x is the strain, unit is %; A and B are constants of the target material.
6. A bainitic steel ring weld impact toughness prediction system, characterized in that: include: A data acquisition module is used to perform strain impact tests on bainite steel ring weld samples to obtain impact absorption energy data corresponding to different strain amounts; A data classification module, used to classify the impact absorbed energy data based on the strain embrittlement failure form and mechanism; A curve fitting module is used to fit each type of impact energy absorption data and corresponding strain data to obtain multiple fitting curves; A relationship determination module, which obtains a relationship between the strain amount and the impact absorbed energy based on the multiple fitting curves; The performance prediction module is used to obtain the strain of the bainite steel girth weld during pipeline assembly, and predict the impact toughness of the girth weld based on the strain and the relationship.
7. The system according to claim 6, characterized in that The data acquisition module is specifically used for: A tensile strain test was conducted on a bainite steel ring weld sample under preset room temperature conditions to obtain strain data; A Charpy pendulum impact test is performed on the stretched bainite steel ring weld sample to obtain impact absorption energy data corresponding to different strain amounts and the fracture specimens used in the experiment.
8. The system according to any one of claims 6 to 7, characterized in that: The relationship between the strain and the impact absorbed energy is as follows: y=Ax+B Wherein, y is the impact absorption energy, unit is J; x is the strain, unit is %; A and B are constants of the target material.
9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a computer, the computer is caused to execute the method for predicting the impact toughness of a bainitic steel ring weld according to any one of claims 1 to 5.
10. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for predicting the impact toughness of a bainitic steel ring weld as described in any one of claims 1 to 5 when executing the program.