Construction method, device and equipment of industrial pipeline finite element model and medium

Abstract

The invention provides an industrial pipeline finite element model construction method and device, equipment and a medium. The construction method comprises the steps that actually-measured vibration data and actually-measured stress data of each sub-pipeline are obtained; constructing an initial finite element model according to the pipeline parameters of all the sub-pipelines; performing ultrasonic simulation on the initial finite element model to obtain simulated vibration data and simulated stress data of each sub-pipeline; according to a comparison result of the actually measured vibration data and the simulated vibration data of each sub-pipeline, optimizing the initial finite element model to obtain an optimized finite element model; and according to a comparison result of the actually measured stress data and the simulated stress data of each sub-pipeline, optimizing the optimized finite element model to obtain the finite element model of the industrial pipeline. By means of the industrial pipeline finite element model construction method and device, the equipment and the medium, the technical problem that evaluation of pipeline dynamic response is not comprehensive enough is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the industrial field, and in particular to a method and device for constructing a finite element model of an industrial pipeline, equipment and a medium. BACKGROUND

[0002] Currently, in the field of industrial pipeline cleaning, ultrasonic decontamination technology has been widely used due to its high efficiency and environmental protection. However, the continuous ultrasonic excitation force generated during the decontamination process will act on the pipeline, potentially inducing pipeline vibration, strain accumulation and accelerating fatigue damage process, which poses a direct threat to the service life and operation safety of the pipeline.

[0003] For pipeline performance detection under the action of ultrasonic waves, the traditional method has significant limitations, mainly relying on a single type of sensor (such as vibration sensor) to collect data, failing to systematically integrate key mechanical parameters such as strain that reflect structural response, making it difficult to deeply analyze the complex stress distribution law inside the pipeline, resulting in an incomplete evaluation of the dynamic response of the pipeline. Therefore, there is room for improvement. SUMMARY

[0004] The present application provides a method and device for constructing a finite element model of an industrial pipeline, equipment and a medium to solve the technical problem of incomplete evaluation of the dynamic response of the pipeline.

[0005] The present application provides a method for constructing a finite element model of an industrial pipeline, which comprises:

[0006] Obtaining the measured vibration data of each sub-pipeline in the industrial pipeline under the corresponding preset frequency of ultrasonic waves and the measured stress data at the elbow thereof;

[0007] Constructing an initial finite element model of the industrial pipeline according to the pipeline parameters of all sub-pipelines in the industrial pipeline;

[0008] Simulating ultrasonic waves on the initial finite element model to obtain the simulated vibration data of each sub-pipeline under the corresponding preset frequency of ultrasonic waves and the simulated stress data at the elbow thereof;

[0009] Optimizing the pipeline parameters of the corresponding sub-pipeline in the initial finite element model according to the comparison results of the measured vibration data and the simulated vibration data of each sub-pipeline to obtain an optimized finite element model;

[0010] Optimizing the pipeline parameters of the corresponding sub-pipeline in the optimized finite element model according to the comparison results of the measured stress data and the simulated stress data of each sub-pipeline to obtain the finite element model of the industrial pipeline.

[0011] In an embodiment of the present application, the step of optimizing the pipeline parameters of the corresponding sub-pipeline in the initial finite element model according to the comparison result of the measured vibration data and the simulated vibration data of each sub-pipeline to obtain the optimized finite element model comprises:

[0012] calculating the amplitude difference between the vibration amplitude of each measured vibration data and the vibration amplitude of the corresponding simulated vibration data;

[0013] optimizing the geometric characteristic parameters and / or material mechanical properties of the pipeline parameters of the corresponding sub-pipeline in the initial finite element model according to the comparison result of each amplitude difference and the vibration amplitude of the corresponding measured vibration data or the vibration amplitude of the simulated vibration data, respectively, to obtain the optimized finite element model.

[0014] In an embodiment of the present application, the step of optimizing the geometric characteristic parameters and / or material mechanical properties of the pipeline parameters of the corresponding sub-pipeline in the initial finite element model according to the comparison result of each amplitude difference and the vibration amplitude of the corresponding measured vibration data or the vibration amplitude of the simulated vibration data, respectively, to obtain the optimized finite element model comprises:

[0015] calculating the amplitude ratio of each amplitude difference and the vibration amplitude of the corresponding measured vibration data or the vibration amplitude of the simulated vibration data, respectively, and determining the size of the amplitude ratio and the amplitude threshold value:

[0016] when all amplitude ratios are less than the amplitude threshold value, it is determined that the optimization of the geometric characteristic parameters and / or material mechanical properties of the pipeline parameters of all sub-pipelines in the initial finite element model is completed, and the optimized finite element model is obtained;

[0017] otherwise, the geometric characteristic parameters and / or material mechanical properties of the pipeline parameters of the corresponding sub-pipeline in the initial finite element model are optimized, and the ultrasonic simulation of the initial finite element model is repeated until all amplitude ratios are less than the amplitude threshold value.

[0018] In an embodiment of the present application, the step of optimizing the pipeline parameters of the corresponding sub-pipeline in the initial finite element model according to the comparison result of the measured vibration data and the simulated vibration data of each sub-pipeline to obtain the optimized finite element model comprises:

[0019] calculating the stress difference between each measured stress data and the corresponding simulated stress data;

[0020] respectively according to comparison results of each stress difference value and corresponding measured stress data or simulated stress data, optimize boundary constraint conditions of elbows in pipeline parameters of corresponding sub-pipelines in the optimized finite element model, and obtain the finite element model of the industrial pipeline.

[0021] In an embodiment of the present application, the step of respectively according to comparison results of each stress difference value and corresponding measured stress data or simulated stress data, optimizing boundary constraint conditions of elbows in pipeline parameters of corresponding sub-pipelines in the optimized finite element model, and obtaining the finite element model of the industrial pipeline, comprises:

[0022] respectively calculating stress ratios of each stress difference value and corresponding measured stress data or simulated stress data, and judging magnitudes of the stress ratios and a stress threshold value:

[0023] when all stress ratios are less than the stress threshold value, it is determined that optimization of boundary constraint conditions of elbows in pipeline parameters of all sub-pipelines in the optimized finite element model is completed, and the finite element model of the industrial pipeline is obtained;

[0024] otherwise, the boundary constraint conditions of elbows in pipeline parameters of corresponding sub-pipelines in the optimized finite element model are optimized, and the ultrasonic simulation on the optimized finite element model is repeated until all stress ratios are less than the stress threshold value.

[0025] In an embodiment of the present application, after the step of obtaining the finite element model of the industrial pipeline, further comprising:

[0026] performing modal analysis on the finite element model of the industrial pipeline to obtain inherent frequencies of each sub-pipeline;

[0027] calculating frequency difference values of each inherent frequency and vibration frequencies in corresponding measured vibration data or vibration frequencies in simulated vibration data;

[0028] respectively according to comparison results of each frequency difference value and corresponding vibration frequencies in measured vibration data or vibration frequencies in simulated vibration data, optimizing pipeline parameters of corresponding sub-pipelines in the finite element model.

[0029] In an embodiment of the present application, the step of respectively according to comparison results of each frequency difference value and corresponding vibration frequencies in measured vibration data or vibration frequencies in simulated vibration data, optimizing pipeline parameters of corresponding sub-pipelines in the finite element model, comprises:

[0030] respectively, and determine the size of the frequency ratio and a frequency threshold value:

[0031] When all the frequency ratios are less than the frequency threshold value, it is determined that the pipeline parameters of the corresponding sub-pipeline in the finite element model do not need to be optimized.

[0032] Otherwise, the pipeline parameters of the corresponding sub-pipeline in the finite element model are optimized, and the ultrasonic simulation of the optimized finite element model is repeated until all the frequency ratios are less than the frequency threshold value.

[0033] The application also provides a construction device of an industrial pipeline finite element model, comprising:

[0034] A data acquisition module is configured to acquire measured vibration data of each sub-pipeline in an industrial pipeline under ultrasonic waves at a corresponding preset frequency and measured stress data at a bend thereof.

[0035] A model construction module is configured to construct an initial finite element model of the industrial pipeline according to pipeline parameters of all sub-pipelines in the industrial pipeline.

[0036] An analog simulation module is configured to perform ultrasonic simulation on the initial finite element model to acquire analog vibration data of each sub-pipeline under ultrasonic waves at a corresponding preset frequency and analog stress data at a bend thereof.

[0037] A first optimization module is configured to optimize pipeline parameters of a corresponding sub-pipeline in the initial finite element model according to a comparison result of measured vibration data and analog vibration data of each sub-pipeline to obtain an optimized finite element model.

[0038] A second optimization module is configured to optimize pipeline parameters of a corresponding sub-pipeline in the optimized finite element model according to a comparison result of measured stress data and analog stress data of each sub-pipeline to obtain a finite element model of the industrial pipeline.

[0039] The application also provides 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 steps of the construction method of the industrial pipeline finite element model when executing the computer program.

[0040] The application also provides a computer readable storage medium storing a computer program, wherein the computer program is executable on a processor to implement the steps of the construction method of the industrial pipeline finite element model.

[0041] The beneficial effects of the present application: by synchronously collecting the measured vibration data and the measured strain data, and combining the double bidirectional verification mechanism of the measured vibration data and the simulated vibration data, the measured stress data and the simulated stress data, the boundary condition authenticity and the physical parameter accuracy of the finite element model are significantly improved, the limitations of the traditional simplified model are broken through, and the coupling effect of the dynamic response and the static strength of the pipeline under the ultrasonic excitation is accurately characterized. Secondly, by using the calculation accuracy advantage of the optimized finite element model, the damage risk visualization warning of the ultrasonic decontamination working condition can be realized, and the structural hidden danger of the weak area such as the elbow can be accurately identified. BRIEF DESCRIPTION OF DRAWINGS

[0042] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application. It is apparent that the accompanying drawings in the following description are only some embodiments of the present application, and other drawings can be obtained from these drawings without creative labor for those skilled in the art.

[0043] In the drawings:

[0044] Figure 1 The flow chart of the construction method of the industrial pipeline finite element model provided by an embodiment of the present application;

[0045] Figure 2 The schematic diagram of the construction device of the industrial pipeline finite element model provided by an embodiment of the present application;

[0046] Figure 3 The schematic diagram of the electronic device provided in an embodiment of the present application.

[0047] The reference signs are as follows: 100, data acquisition module; 200, model construction module; 300, simulation simulation module; 400, first optimization module; 500, second optimization module; 10, electronic device; 11, memory; 12, processor. DETAILED DESCRIPTION

[0048] The embodiments of the present application are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the disclosure of the present specification. The present application can also be implemented or applied by another different specific embodiment, and each detail in the present specification can be modified or changed based on different views and applications without departing from the spirit of the present application, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0049] It is to be understood that the figures provided in the following embodiments are only schematically illustrating the basic concept of the present application, and the figures only show the components related to the present application, but not drawn according to the number, shape and size of the components in actual implementation, and the type, number and ratio of the components in actual implementation can be arbitrarily changed, and the layout type of the components can be more complex.

[0050] In the following description, numerous specific details are discussed in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to one of ordinary skill in the art that the embodiments of the present application can be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to avoid obscuring the embodiments of the present application.

[0051] Referring to Figure 1 The application discloses a construction method of an industrial pipeline finite element model, which can be applied to the industrial pipeline finite element model to construct a finite element model of the industrial pipeline. The construction method can include the following steps: step S10, obtaining measured vibration data of each sub-pipeline in the industrial pipeline under ultrasonic waves at a corresponding preset frequency and measured stress data at a bend thereof.

[0052] In some embodiments, when step S10 is performed, specifically, performance detection of the industrial pipeline first needs to obtain key measured data of all sub-pipelines in an actual ultrasonic decontamination process. An operator carries out sensor deployment work according to technical requirements for each independent physical section, i.e., a sub-pipeline in the industrial pipeline system.

[0053] In some embodiments, for each sub-pipeline, a vibration sensor is first fixedly installed at a position on an outer surface of the sub-pipeline where vibration is easily captured. Specifically, considering that the industrial pipeline is usually supported and fixed by a support, the vibration sensor is preferentially installed at a position of the pipeline close to the support, so as to more accurately capture vibration response characteristics of the pipeline when the pipeline is subjected to ultrasonic excitation force. Meanwhile, the operator focuses on monitoring complex mechanical parts in the pipeline system, and arranges a strain sensor on the outer surface of a bend structure of each sub-pipeline along an axial direction of the pipeline. The vibration sensor can be used to capture vibration characteristics, and the strain sensor can be used to capture structural deformation characteristics, which constitute a basic monitoring network of dynamic responses of each sub-pipeline.

[0054] In some embodiments, the complete industrial pipeline can contain several sub-pipelines with different physical and material properties, and the differences between each sub-pipeline are reflected in the pipe diameter size, pipe wall thickness, pipe material such as carbon steel or stainless steel, and the inherent properties of the material such as the elastic modulus and Poisson's ratio. Since these physical parameter differences significantly affect the dynamic behavior of each sub-pipeline structure under the action of ultrasonic waves, the operator determines the specific preset frequency value of each sub-pipeline in advance according to the specific geometric characteristic parameters (mainly the pipe diameter and wall thickness) and material mechanical properties (mainly the elastic modulus and Poisson's ratio) of each sub-pipeline, combined with engineering calculations and experience, that is, the frequency of the ultrasonic waves used for each sub-pipeline can be different.

[0055] In some embodiments, the operator can firmly bind the ultrasonic device generating the preset frequency ultrasonic waves to the corresponding sub-pipeline through its dedicated clamp. After starting the ultrasonic decontamination device, the preset frequency ultrasonic wave energy generated by it acts on the sub-pipeline. In the process of continuous action of ultrasonic waves, the vibration sensor can collect the vibration signals of the pipeline surface in real time, and then extract the frequency value and vibration amplitude parameters from the vibration signals to form the measured vibration data of each sub-pipeline under the corresponding preset frequency ultrasonic wave. At the same time, the strain sensor can also collect the stress signals of the elbow of the sub-pipeline in real time, and then extract the maximum strain value from the stress signals to form the measured stress data of each sub-pipeline under the corresponding preset frequency ultrasonic wave.

[0056] In some embodiments, the construction method can further include the following steps: step S20, constructing an initial finite element model of the industrial pipeline according to the pipeline parameters of all sub-pipelines in the industrial pipeline.

[0057] In some embodiments, when step S20 is performed, specifically, the pipeline parameters can include geometric characteristic parameters, material mechanical properties, and boundary constraint conditions. The geometric characteristic parameters refer to the physical size characteristics of each sub-pipeline, including but not limited to the pipe diameter size value of its cross section and the thickness value of the pipe wall. The material mechanical properties refer to the inherent mechanical properties of the material used to constitute each sub-pipeline, including but not limited to the elastic modulus and Poisson's ratio. The boundary constraint conditions refer to the mechanical interaction restrictions between the sub-pipeline and the external environment and the load state acting on the sub-pipeline, that is, the constraint definition at the elbow part between the adjacent two sub-pipelines, including but not limited to the actual installation position of the pipeline support (such as support, hanger, saddle, etc.), the structure form (such as fixed support limiting all displacements, guide support allowing axial displacement, spring support providing elastic support, etc.).

[0058] In some embodiments, after obtaining the pipeline parameters of all the sub-pipes, the construction of the initial finite element model is started using finite element analysis software (such as ANSYS, ABAQUS, CAESAR, etc.). Specifically, first, based on the obtained geometric characteristic parameters, the path axis of each sub-pipe is accurately generated by inputting the spatial coordinate point information of the pipeline center line using the three-dimensional modeling function of the software; then, according to the specific pipe diameter and wall thickness values of each sub-pipe, a three-dimensional tubular body geometric entity with corresponding outer diameter and inner diameter size attributes is created in the software along the axis. The elbow needs to be specially handled during modeling, and can be created as an elbow pipe geometric body conforming to the actual bending radius. Then, the material properties are assigned to the model, and the mechanical property data (i.e., elastic modulus and Poisson's ratio) of each sub-pipe is accurately assigned to the geometric entity belonging to the sub-pipe in the material property definition module of the software, ensuring that the material properties of each part of the model are consistent with the physical reality.

[0059] In some embodiments, after completing the geometric modeling and material property assignment, boundary constraints can be applied. In the constraint and load loading module of the software, according to the support form data, corresponding constraint conditions are created at all identified pipeline support points (such as support mounting points), and finally the initial finite element model is obtained. After the initial finite element model is preliminarily established, error checking of the model needs to be performed. The model checking tool provided by the software can be used to comprehensively screen and diagnose problems such as geometric quality (such as overlap, gap), mesh connectivity, mesh element shape quality (such as aspect ratio), missing or incorrect material properties, unreasonable constraint settings (such as under-constrained leading to singularity or over-constrained), etc., to ensure that the constructed model is physically reasonable and can normally converge in the numerical solving process.

[0060] In some embodiments, the construction method can further include the following step: step S30, performing ultrasonic simulation on the initial finite element model to obtain the simulated vibration data of each sub-pipe under the corresponding preset frequency of the ultrasonic wave and the simulated stress data at the elbow thereof.

[0061] In some embodiments, when step S30 is performed, specifically, after the construction of the initial finite element model is completed, the model needs to be subjected to simulated ultrasonic waves to predict the dynamic response of each sub-pipe, and then the simulated vibration data and the simulated stress data of each sub-pipe under the action of the simulated ultrasonic wave at the corresponding specific preset frequency are obtained. The simulated vibration data can be used to characterize the overall vibration state of the pipeline. The simulated stress data can be used to characterize the stress state of the structure sensitive part.

[0062] In some embodiments, the construction method can further comprise the following step: step S40, optimizing the pipeline parameters of the corresponding sub-pipeline in the initial finite element model according to the comparison result of the measured vibration data and the simulated vibration data of each sub-pipeline, to obtain an optimized finite element model.

[0063] In some embodiments, step S40 can comprise the following step: step S41, calculating the amplitude difference between the vibration amplitude of each measured vibration data and the vibration amplitude of the corresponding simulated vibration data.

[0064] In some embodiments, when step S41 is performed, specifically, after the simulated vibration data is obtained, the vibration amplitude in the measured vibration data of each sub-pipeline needs to be compared and calculated with the vibration amplitude in the simulated vibration data. First, each independent sub-pipeline in the industrial pipeline system is processed separately, and the measured vibration data extracted by the vibration sensor already contains the vibration amplitude of each sub-pipeline under the corresponding preset frequency ultrasonic wave. At the same time, the simulated vibration data extracted from the finite element simulation result also contains the vibration amplitude of the simulated vibration data at the same characteristic position. Subsequently, the difference between the vibration amplitude in the measured vibration data and the vibration amplitude in the simulated vibration data, i.e. the amplitude difference, is calculated.

[0065] In some embodiments, step S40 can further comprise the following step: step S42, respectively optimizing the geometric feature parameters and / or material mechanical properties in the pipeline parameters of the corresponding sub-pipeline in the initial finite element model according to the comparison result of each amplitude difference and the vibration amplitude of the corresponding measured vibration data or the vibration amplitude of the simulated vibration data, to obtain an optimized finite element model.

[0066] In some embodiments, step S42 can comprise the following steps: respectively calculating the amplitude ratio of each amplitude difference and the vibration amplitude of the corresponding measured vibration data or the vibration amplitude of the simulated vibration data, and judging the size of the amplitude ratio and the amplitude threshold value; when all amplitude ratios are smaller than the amplitude threshold value, it is determined that the optimization of the geometric feature parameters and / or material mechanical properties in the pipeline parameters of all sub-pipelines in the initial finite element model is completed, and an optimized finite element model is obtained; otherwise, the geometric feature parameters and / or material mechanical properties in the pipeline parameters of the corresponding sub-pipeline in the initial finite element model are optimized, and the ultrasonic simulation on the initial finite element model is repeated until all amplitude ratios are smaller than the amplitude threshold value.

[0067] In some embodiments, when step S42 is performed, specifically, after the amplitude difference of each sub-pipeline is calculated, the proportional relationship between the amplitude difference and the vibration amplitude can be quantified, and a threshold value can be compared to determine whether the initial finite element model needs to be optimized. Specifically, the ratio between the amplitude difference and the vibration amplitude of the measured vibration data (or the vibration amplitude of the simulated vibration data) corresponding to the sub-pipeline can be calculated, which is denoted as an amplitude ratio. The amplitude ratio can represent the degree of relative error between the measured vibration amplitude and the simulated vibration amplitude. Subsequently, the amplitude ratio can be compared with a pre-set fixed amplitude threshold value.

[0068] In some embodiments, if the amplitude ratio of each sub-pipeline is less than the amplitude threshold value, it indicates that the relative difference between the vibration amplitude of all measured vibration data and the vibration amplitude of simulated vibration data is within an acceptable range, and further optimization is not required. At this time, it can be determined that the pipeline parameters (including geometric feature parameters such as pipe diameter and wall thickness, and material mechanical properties such as elastic modulus and Poisson's ratio) of all sub-pipelines in the initial finite element model have reached an optimized state. Subsequently, it can be confirmed that the current initial finite element model is the optimized finite element model. The optimized finite element model indicates that the model-predicted simulated vibration data is highly consistent with the measured vibration data.

[0069] In some embodiments, if it is found that not all amplitude ratios of the sub-pipelines are less than the amplitude threshold value, i.e., the amplitude ratio of at least one or more sub-pipelines is greater than or equal to the amplitude threshold value, it indicates that there is a significant error in the current parameter settings of these sub-pipelines in the initial finite element model, and optimization adjustment is required. Specifically, for these error-prone sub-pipelines, targeted adjustments can be made in the initial finite element model parameters to optimize the geometric feature parameters (such as pipe diameter size and wall thickness value) and / or material mechanical properties (such as elastic modulus and Poisson's ratio value) in the pipeline parameters of these sub-pipelines. After completing the parameter optimization, the updated initial finite element model can be saved, and then ultrasonic simulation is performed again on the updated initial finite element model to obtain new simulated vibration data, and then the amplitude difference and the amplitude ratio are calculated again. This process is repeated (i.e., simulation, comparison, and optimization are performed on the initial finite element model) until the amplitude ratio of each sub-pipeline is less than the amplitude threshold value.

[0070] In some embodiments, the construction method can further include the following step: step S50, optimizing the pipeline parameters of the corresponding sub-pipeline in the optimized finite element model according to the comparison results of the measured stress data and the simulated stress data of each sub-pipeline, to obtain the finite element model of the industrial pipeline.

[0071] In some embodiments, step S50 can include the following step: step S51, calculating the stress difference between each measured stress data and the corresponding simulated stress data.

[0072] In some embodiments, when step S51 is performed, specifically, after the simulated stress data is obtained, the measured stress data of each sub-pipeline needs to be compared and calculated with the simulated stress data. First, each independent sub-pipeline in the industrial pipeline system is processed individually, and the measured stress data of each sub-pipeline under the corresponding preset frequency ultrasonic wave can be obtained through the strain sensor. At the same time, the simulated vibration data of each sub-pipeline under the corresponding preset frequency ultrasonic wave can be extracted from the finite element simulation results. Then, the absolute difference value between the measured vibration data and the simulated vibration data, i.e., the stress difference value, is calculated.

[0073] In some embodiments, step S50 can further include the following step: step S52, respectively optimizing the boundary constraint condition of the elbow in the pipeline parameter of the corresponding sub-pipeline in the optimized finite element model according to the comparison result of each stress difference value and the corresponding measured stress data or simulated stress data, to obtain the finite element model of the industrial pipeline.

[0074] In some embodiments, step S52 can include the following steps: respectively calculating the stress ratio of each stress difference value and the corresponding measured stress data or simulated stress data, and judging the size of the stress ratio and the stress threshold: when all stress ratios are less than the stress threshold, it is determined that the optimization of the boundary constraint condition of the elbow in the pipeline parameter of all sub-pipelines in the optimized finite element model is completed, and the finite element model of the industrial pipeline is obtained; otherwise, the boundary constraint condition of the elbow in the pipeline parameter of the corresponding sub-pipeline in the optimized finite element model is optimized, and the ultrasonic simulation of the optimized finite element model is repeated until all stress ratios are less than the stress threshold.

[0075] In some embodiments, when step S52 is performed, specifically, after the stress difference value of each sub-pipeline is calculated, the proportional relationship between the stress difference value and the measured stress data or simulated stress data can be quantified, and a threshold value is used to determine whether the optimized finite element model needs to be optimized again. Specifically, the ratio between the stress difference value and the measured stress data or simulated stress data corresponding to the sub-pipeline can be calculated, which is represented as the stress ratio. The stress ratio can represent the relative error degree between the measured stress data and the simulated stress data. Then, the stress ratio can be compared with a pre-set fixed stress threshold.

[0076] In some embodiments, if the stress ratio of each sub-pipeline is less than the stress threshold, it means that the relative difference of all measured stress data or simulated stress data is within an acceptable range, and further optimization is not needed. At this time, it can be determined that the pipeline parameters of all sub-pipelines in the optimized finite element model, including the boundary constraint condition of the elbow, have reached the optimized state. Then, the current optimized finite element model can be confirmed as the finite element model. The finite element model means that the simulated stress data predicted by the model is highly consistent with the measured stress data.

[0077] In some embodiments, if it is found that not all of the stress ratios of the sub-pipes are less than the stress threshold, i.e. at least one or more of the stress ratios of the sub-pipes are greater than or equal to the stress threshold, it indicates that there is a significant error in the current parameter settings of these sub-pipes in the optimized finite element model, and optimization adjustment needs to be performed. Specifically, for these error sub-pipes, targeted adjustment is performed in the optimized finite element model parameters to optimize the boundary constraint conditions at the bends in the pipe parameters of these sub-pipes. After completing the parameter optimization, the updated finite element model can be saved, and then the updated finite element model is re-performed for ultrasonic simulation to obtain new simulated stress data, and then the stress difference and the stress ratio are calculated again. This process is repeated (i.e. simulation, comparison, optimization are performed on the optimized finite element model) until the stress ratio of each sub-pipe is less than the stress threshold.

[0078] In some embodiments, the construction method can further include the following step: step S60, performing modal analysis on the finite element model of the industrial pipe to obtain the natural frequency of each sub-pipe.

[0079] In some embodiments, when step S60 is performed, specifically, after the finite element model is obtained, modal analysis needs to be performed on the finite element model to evaluate the natural vibration characteristics of the industrial pipe to prevent potential resonance risks. For example, the optimized finite element model can be opened using finite element analysis software, and the type of modal analysis is selected. In the parameter settings of the finite element analysis software solver, the range of the number of modes to be extracted is defined to cover the expected main low-order modes. After the settings are completed, the solver is started for calculation, and the stiffness matrix and the mass matrix of the model are solved by the eigenvalue algorithm to calculate the modal characteristics in the set range of the number of modes. After the calculation is completed, for each sub-pipe, the finite element analysis software can output the natural frequency corresponding to the dominant vibration mode. The natural frequency represents the free vibration frequency characteristics specific to the structure of the sub-pipe.

[0080] In some embodiments, the construction method can further include the following step: step S70, calculating the frequency difference between each natural frequency and the vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data.

[0081] In some embodiments, when step S70 is performed, specifically, after the natural frequency calculation is completed, the natural frequency of each sub-pipe needs to be quantitatively compared with the vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data. The absolute difference between the natural frequency and the vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data, i.e. the frequency difference, is calculated. The frequency difference can be used to judge whether dangerous resonance is likely to occur, and a smaller frequency difference indicates a higher resonance risk.

[0082] In some embodiments, the construction method can further comprise the following step: step S80, optimizing the pipeline parameters of the corresponding sub-pipeline in the finite element model according to the comparison result of each frequency difference value and the vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data, respectively.

[0083] In some embodiments, step S80 can comprise the following steps: calculating the frequency ratio of each frequency difference value and the vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data, respectively, and determining the size of the frequency ratio and the frequency threshold: when all frequency ratios are less than the frequency threshold, it is determined that the pipeline parameters of the corresponding sub-pipeline in the finite element model do not need to be optimized; otherwise, the pipeline parameters of the corresponding sub-pipeline in the finite element model are optimized, and the ultrasonic simulation of the optimized finite element model is repeated until all frequency ratios are less than the frequency threshold.

[0084] In some embodiments, when step S80 is performed, specifically, after the frequency difference value of each sub-pipeline is calculated, the proportional relationship between the frequency difference value and the vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data can be quantified, and a threshold value can be used to determine whether the finite element model needs to be optimized again. Specifically, the ratio between the frequency difference value and the vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data corresponding to the sub-pipeline can be calculated, which is represented as a frequency ratio.

[0085] In some embodiments, if the frequency ratio of each sub-pipeline is less than the frequency threshold, it indicates that the pipeline system represented by the current optimized finite element model does not have resonance risk under the action of the preset frequency ultrasonic wave. At this time, it can be determined that the pipeline parameters of all sub-pipelines in the optimized finite element model have reached an optimized state.

[0086] In some embodiments, if it is found that not all frequency ratios of the sub-pipelines are less than the frequency threshold, i.e., the frequency ratio of at least one or more sub-pipelines is greater than or equal to the frequency threshold, it indicates that the pipeline system represented by the current optimized finite element model has resonance risk under the action of the preset frequency ultrasonic wave, and optimization adjustment needs to be performed. For these sub-pipelines that need to be adjusted, the pipeline parameters of these sub-pipelines can be optimized. After completing the parameter optimization, the updated finite element model can be saved, and then the ultrasonic simulation is performed again on the updated finite element model to obtain the vibration frequency in the new simulated vibration data, and then the frequency difference value and the frequency ratio are calculated again. This process is repeated (i.e., simulation, comparison, and optimization are performed on the optimized finite element model) until the frequency ratio of each sub-pipeline is less than the frequency threshold.

[0087] In some embodiments, if it is found that not all of the frequency ratio values of the sub-pipes are less than the frequency threshold, i.e., at least one or more of the frequency ratio values of the sub-pipes is greater than or equal to the frequency threshold, the frequency of the ultrasonic wave corresponding to the sub-pipe can also be adjusted to prevent resonance from occurring.

[0088] It can be seen that in the above scheme, by synchronously collecting the measured vibration data and the measured strain data, and combining the double bidirectional verification mechanism of the measured vibration data and the simulated vibration data, and the measured stress data and the simulated stress data, the boundary condition authenticity and the physical parameter accuracy of the finite element model are significantly improved, the limitations of traditional simplified models are broken through, and the coupling effect of the dynamic response and the static strength of the pipeline under ultrasonic excitation is accurately characterized. Secondly, by using the calculation accuracy advantage of the optimized finite element model, damage risk visualization warning in the ultrasonic decontamination working condition can be realized, and structural hidden dangers in weak areas such as elbows can be accurately identified.

[0089] Please refer to Figure 2 The application further discloses a construction device of an industrial pipeline finite element model, and the construction method can be applied to the construction device. The construction device can include a data acquisition module 100, a model construction module 200, a simulation module 300, a first optimization module 400, and a second optimization module 500.

[0090] In some embodiments, the data acquisition module 100 can be used to acquire the measured vibration data of each sub-pipe in the industrial pipeline under the corresponding preset frequency ultrasonic wave and the measured stress data at the elbow thereof.

[0091] In some embodiments, the model construction module 200 can be used to construct an initial finite element model of the industrial pipeline according to the pipeline parameters of all the sub-pipes in the industrial pipeline.

[0092] In some embodiments, the simulation module 300 can be used to simulate the ultrasonic wave on the initial finite element model, to acquire the simulated vibration data of each sub-pipe under the corresponding preset frequency ultrasonic wave and the simulated stress data at the elbow thereof.

[0093] In some embodiments, the first optimization module 400 can be used to optimize the pipeline parameters of the corresponding sub-pipe in the initial finite element model according to the comparison result of the measured vibration data and the simulated vibration data of each sub-pipe, to obtain an optimized finite element model.

[0094] In some embodiments, the second optimization module 500 can be used to optimize the pipeline parameters of the corresponding sub-pipe in the optimized finite element model according to the comparison result of the measured stress data and the simulated stress data of each sub-pipe, to obtain a finite element model of the industrial pipeline.

[0095] The specific limitations of the construction device can be referred to the limitations of the construction method above, which will not be repeated here. Each module in the construction device above can be realized by software, hardware and their combination in whole or in part. Each module above can be embedded in or independent of the memory in the electronic device in hardware form, or stored in the memory in the electronic device in software form, so as to be called and executed by the memory to perform the operations corresponding to each module above.

[0096] Please refer to Figure 3 In some embodiments, the electronic device 10 can include a memory 11, a processor 12 and a bus, and can further include a computer program stored in the memory 11 and executable on the processor 12, such as the program of the construction method of the industrial pipeline finite element model.

[0097] In some embodiments, the memory 11 includes at least one type of readable storage medium, including flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 can be an internal storage unit of the electronic device 10 in some embodiments, such as the mobile hard disk of the electronic device 10. The memory 11 can also be an external storage device of the electronic device 10 in other embodiments, such as the plug-in mobile hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on the electronic device 10. Further, the memory 11 can include both the internal storage unit and the external storage device of the electronic device 10. The memory 11 can be used not only to store application software and various data installed on the electronic device 10, such as the code of the construction method of the industrial pipeline finite element model, but also to temporarily store data that has been or will be output.

[0098] In some embodiments, the processor 12 can be composed of integrated circuits, such as a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPU), microprocessors, digital processing chips, graphics processors and combinations of various control chips, etc. The processor 12 is the control unit of the electronic device 10, which connects all components of the electronic device 10 through various interfaces and lines, executes or runs the programs or modules stored in the memory 11 (such as the program of the construction method of the industrial pipeline finite element model), and calls the data stored in the memory 11, to perform various functions of the electronic device 10 and process data.

[0099] In some embodiments, the processor 12 executes an operating system of the electronic device 10 and various application programs installed. The processor 12 executes the application programs to implement the steps in the above-described construction method of the industrial pipeline finite element model.

[0100] In some embodiments, the computer program can be divided into one or more modules, one or more modules are stored in the memory 11 and executed by the processor 12 to complete the present application. One or more modules can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the electronic device 10. For example, the computer program can be divided into a data acquisition module 100, a model construction module 200, a simulation simulation module 300, a first optimization module 400, a second optimization module 500, etc.

[0101] The above-described embodiments only exemplarily illustrate the principles and effects of the present application, and are not used to limit the present application. Any person skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical idea disclosed by the present application should be covered by the claims of the present application.

Claims

1. A method for constructing a finite element model of an industrial pipeline, characterized in that, include: Acquire measured vibration data of each sub-pipe in the industrial pipeline under ultrasonic waves at a corresponding preset frequency, as well as measured stress data at its bends; Based on the pipe parameters of all sub-pipes in the industrial pipeline, an initial finite element model of the industrial pipeline is constructed. Ultrasonic simulation was performed on the initial finite element model to obtain the simulated vibration data of each sub-pipe under the corresponding preset frequency of ultrasonic waves and the simulated stress data at the bend. Based on the comparison results of the measured vibration data and simulated vibration data of each sub-pipe, the pipe parameters of the corresponding sub-pipe in the initial finite element model are optimized to obtain the optimized finite element model. Based on the comparison between the measured stress data and the simulated stress data of each sub-pipe, the pipe parameters of the corresponding sub-pipe in the optimized finite element model are optimized to obtain the finite element model of the industrial pipeline.

2. The method for constructing a finite element model of an industrial pipeline according to claim 1, characterized in that, The step of optimizing the pipe parameters of the corresponding sub-pipe in the initial finite element model based on the comparison results of the measured vibration data and simulated vibration data of each sub-pipe to obtain the optimized finite element model includes: Calculate the amplitude difference between the vibration amplitude of each measured vibration data and the vibration amplitude of the corresponding simulated vibration data; Based on the comparison results between each amplitude difference and the vibration amplitude of the corresponding measured vibration data or simulated vibration data, the geometric characteristic parameters and / or material mechanical properties of the pipe parameters of the corresponding sub-pipe in the initial finite element model are optimized to obtain the optimized finite element model.

3. The method for constructing a finite element model of an industrial pipeline according to claim 2, characterized in that, The step of optimizing the geometric feature parameters and / or material mechanical properties of the pipe parameters of the corresponding sub-pipe in the initial finite element model based on the comparison results of each amplitude difference with the vibration amplitude of the corresponding measured vibration data or simulated vibration data, to obtain the optimized finite element model, includes: Calculate the amplitude ratio of each amplitude difference to the corresponding measured vibration amplitude or simulated vibration amplitude, and determine the magnitude of the amplitude ratio relative to the amplitude threshold. When all amplitude ratios are less than the amplitude threshold, it is determined that the optimization of the geometric feature parameters and / or material mechanical properties of all sub-pipes in the initial finite element model is complete, and the optimized finite element model is obtained. Otherwise, optimize the geometric feature parameters and / or material mechanical properties of the corresponding sub-pipes in the initial finite element model, and repeat the ultrasonic simulation of the initial finite element model until all amplitude ratios are less than the amplitude threshold.

4. The method for constructing a finite element model of an industrial pipeline according to claim 1, characterized in that, The step of optimizing the pipe parameters of the corresponding sub-pipe in the optimized finite element model based on the comparison results of the measured stress data and simulated stress data of each sub-pipe to obtain the finite element model of the industrial pipeline includes: Calculate the stress difference between each measured stress data point and the corresponding simulated stress data point; Based on the comparison results of each stress difference with the corresponding measured stress data or simulated stress data, the boundary constraint conditions at the bends in the pipe parameters of the corresponding sub-pipe in the optimized finite element model are optimized to obtain the finite element model of the industrial pipeline.

5. The method for constructing a finite element model of an industrial pipeline according to claim 4, characterized in that, The step of optimizing the boundary constraints at bends in the pipe parameters of the corresponding sub-pipeline in the optimized finite element model based on the comparison results of each stress difference with the corresponding measured stress data or simulated stress data, to obtain the finite element model of the industrial pipeline, includes: Calculate the stress ratio of each stress difference to the corresponding measured or simulated stress data, and determine the magnitude of the stress ratio relative to the stress threshold. When all stress ratios are less than the stress threshold, it is determined that the boundary constraint conditions at the bends in the pipe parameters of all sub-pipes in the optimized finite element model have been optimized, and the finite element model of the industrial pipeline is obtained. Otherwise, optimize the boundary constraints at the bends in the pipe parameters of the corresponding sub-pipe in the optimized finite element model, and repeat the ultrasonic simulation on the optimized finite element model until all stress ratios are less than the stress threshold.

6. The method for constructing a finite element model of an industrial pipeline according to claim 1, characterized in that, Following the step of obtaining the finite element model of the industrial pipeline, the method further includes: Modal analysis was performed on the finite element model of the industrial pipeline to obtain the natural frequencies of each sub-pipeline; Calculate the frequency difference between each natural frequency and the corresponding vibration frequency in the measured vibration data or the vibration frequency in the simulated vibration data; Based on the comparison results between each frequency difference and the vibration frequency in the corresponding measured vibration data or simulated vibration data, the pipe parameters of the corresponding sub-pipe in the finite element model are optimized.

7. The method for constructing a finite element model of an industrial pipeline according to claim 6, characterized in that, The step of optimizing the pipe parameters of the corresponding sub-pipe in the finite element model based on the comparison results of each frequency difference with the vibration frequency in the corresponding measured vibration data or simulated vibration data includes: Calculate the frequency ratio of each frequency difference to the corresponding vibration frequency in the measured vibration data or simulated vibration data, and determine the magnitude of the frequency ratio relative to the frequency threshold. When all frequency ratios are less than the frequency threshold, it is determined that there is no need to optimize the pipe parameters of the corresponding sub-pipe in the finite element model; Otherwise, optimize the pipe parameters of the corresponding sub-pipes in the finite element model, and repeat the ultrasonic simulation on the optimized finite element model until all frequency ratios are less than the frequency threshold.

8. A device for constructing a finite element model of an industrial pipeline, characterized in that, include: The data acquisition module is used to acquire the measured vibration data of each sub-pipe in the industrial pipeline under the corresponding preset frequency of ultrasonic waves and the measured stress data at the bends. The model building module is used to construct an initial finite element model of the industrial pipeline based on the pipeline parameters of all sub-pipelines in the industrial pipeline. The simulation module is used to perform ultrasonic simulation on the initial finite element model to obtain the simulated vibration data of each sub-pipe under the corresponding preset frequency of ultrasonic waves and the simulated stress data at the bend. The first optimization module is used to optimize the pipe parameters of the corresponding sub-pipe in the initial finite element model based on the comparison results of the measured vibration data and simulated vibration data of each sub-pipe, so as to obtain the optimized finite element model. The second optimization module is used to optimize the pipe parameters of the corresponding sub-pipe in the optimized finite element model based on the comparison results of the measured stress data and simulated stress data of each sub-pipe, so as to obtain the finite element model of the industrial pipeline.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The steps of constructing the finite element model of an industrial pipeline as described in any one of claims 1 to 7 are implemented when the processor executes the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that, The steps of constructing the finite element model of an industrial pipeline as described in any one of claims 1 to 7 are implemented when the computer program is executed by a processor.

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