A method for assessing pipeline vibration fatigue risk

Through automated evaluation methods, candidate incentives are determined based on pipeline parameters and medium parameters, evaluation scores are calculated, and risk levels are determined in combination with grade tables, which solves the problem of low efficiency in pipeline vibration fatigue detection in nuclear power plant pipeline network, and improves evaluation efficiency and accuracy. Ensure safe operation.

CN118886723BActive Publication Date: 2025-01-14YANGJIANG NUCLEAR POWER +1
View PDF 1 Cites 0 Cited by

Patent Information

Application Number
CN202411372568.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-29
Publication Date
2025-01-14
Estimated Expiration
2044-09-29

AI Technical Summary

Technical Problem

The vibration fatigue detection efficiency of pipelines in the nuclear power plant pipeline network is low, resulting in safety hazards. The existing manual inspection is time-consuming and labor-intensive, and the efficiency is not high.

Method used

By obtaining pipeline parameters and medium parameters, determining candidate excitation, obtaining excitation source data and evaluation conditions, calculating evaluation scores, and determining vibration fatigue risk levels based on the preset level table to achieve automated evaluation.

Benefits of technology

It improves the efficiency and accuracy of the evaluation of vibration fatigue risk in the nuclear power network system, reduces the workload of manual inspection, and takes timely measures to prevent leakage and rupture accidents, and ensure safe operation.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN118886723B_ABST
    Figure CN118886723B_ABST
Patent Text Reader

Abstract

The present invention discloses a pipeline vibration fatigue risk assessment method, which determines N candidate excitations having vibration fatigue effects on the pipeline to be assessed from preset excitations according to the pipeline medium parameters and component composition of the pipeline to be assessed, obtains excitation source data and assessment conditions corresponding to each candidate excitation, and for any candidate excitation, determines the assessment score of the candidate excitation according to the pipeline parameters, the excitation source data corresponding to the candidate excitation, and the assessment conditions, determines the highest assessment score from the assessment scores of the N candidate excitations as the target score, and determines the vibration fatigue risk level of the pipeline to be assessed according to the target score and in combination with a preset grade table. The assessment efficiency and accuracy of the vibration fatigue risk of the nuclear power pipeline network system are improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline vibration risk assessment, and in particular to a pipeline vibration fatigue risk assessment method. Background Art

[0002] The nuclear power plant pipeline network covers a large number of pipelines. During the commissioning or operation stage, due to the internal medium disturbance and pipeline design characteristics, pipeline vibration problems are inevitable, which in turn lead to safety hazards such as fatigue cracks and leakage in the pipeline system. Manual visual inspection or vibration testing of all pipelines usually requires a lot of human resources and time costs, resulting in low detection efficiency of pipeline vibration risks. Therefore, how to improve the assessment efficiency of vibration fatigue risks in nuclear power pipeline network systems has become an urgent problem to be solved. Summary of the invention

[0003] Based on this, a pipeline vibration fatigue risk assessment method is provided to solve the problem of how to improve the assessment efficiency of vibration fatigue risk of nuclear power pipeline network system.

[0004] An embodiment of the present invention provides a pipeline vibration fatigue risk assessment method, the assessment method comprising the following steps:

[0005] Obtaining pipeline parameters of the pipeline to be evaluated, parameters of the medium in the pipeline, and the composition of components set in the pipeline to be evaluated;

[0006] According to the medium parameters in the pipeline and the composition of the components, N candidate excitations having vibration fatigue effects on the pipeline to be evaluated are determined from preset excitations, where N is an integer greater than 1;

[0007] Acquire the stimulus source data and evaluation conditions corresponding to each of the candidate stimuli, and for any candidate stimulus, determine the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data and the evaluation conditions corresponding to the candidate stimulus;

[0008] The highest evaluation score is determined as the target score from the evaluation scores of the N candidate stimuli, and the vibration fatigue risk level of the pipeline to be evaluated is determined based on the target score and a preset level table.

[0009] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: the present invention determines N candidate excitations having vibration fatigue effects on the pipeline to be evaluated from preset excitations according to the medium parameters and component composition in the pipeline to be evaluated, obtains excitation source data and evaluation conditions corresponding to each candidate excitation, and for any candidate excitation, determines an evaluation score of the candidate excitation according to the pipeline parameters, the excitation source data corresponding to the candidate excitation, and the evaluation conditions, determines the highest evaluation score from the evaluation scores of the N candidate excitations as the target score, and determines the vibration fatigue risk level of the pipeline to be evaluated according to the target score and in combination with a preset level table.

[0010] Among them, the automated assessment process has reduced the workload of manual nuclear power pipeline network vibration risk detection, improved the assessment efficiency of the vibration fatigue risk of the nuclear power pipeline network system, and carried out qualitative assessment of the pipeline to be assessed, determined candidate excitations from preset excitations, and quantitatively assessed the pipeline to be assessed based on the excitation source data and assessment conditions corresponding to the candidate excitations, thereby determining the vibration fatigue risk level of the pipeline to be assessed. It has taken into account various influencing factors more comprehensively, and improved the assessment accuracy of the vibration fatigue risk of the nuclear power pipeline network system. Therefore, according to the results of the automated assessment, timely and accurate measures can be taken to intervene and prevent accidents, reduce the risks of safety accidents such as leakage and rupture caused by vibration fatigue, and ensure the safe operation of the nuclear power pipeline network. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0012] Figure 1 This is a schematic diagram of an application environment of a pipeline vibration fatigue risk assessment method provided in Embodiment 1 of the present invention;

[0013] Figure 2 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in the second embodiment of the present invention;

[0014] Figure 3 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in the third embodiment of the present invention;

[0015] Figure 4 It is a flow chart of a pipeline vibration fatigue risk assessment method provided by the fourth embodiment of the present invention;

[0016] Figure 5It is a schematic diagram of a flow chart of evaluating gas excitation provided by the fourth embodiment of the present invention;

[0017] Figure 6 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in Embodiment 5 of the present invention;

[0018] Figure 7 is a schematic diagram of a flow chart of evaluating an audio stimulus provided by a fifth embodiment of the present invention;

[0019] Figure 8 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in Embodiment 6 of the present invention;

[0020] Fig. 9 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in Embodiment 7 of the present invention;

[0021] Fig.10 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in Embodiment 8 of the present invention;

[0022] Fig.11 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in Embodiment 9 of the present invention;

[0023] Fig.12 It is a schematic diagram of a process for evaluating cavitation and flash excitation provided by Embodiment 9 of the present invention;

[0024] Fig.13 It is a flow chart of a pipeline vibration fatigue risk assessment method provided in the tenth embodiment of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] like Figure 1 As shown in the figure, a pipeline vibration fatigue risk assessment method provided by the first embodiment of the present invention can be applied to Figure 1In the application environment, the server communicates with the client, the server provides the assessment service of pipeline vibration fatigue risk, and the client triggers the assessment task to the server. The client includes but is not limited to PDA, desktop computer, notebook computer, ultra-mobile personal computer (UMPC), netbook, cloud computer equipment, personal digital assistant (PDA) and other devices. The computer equipment corresponding to the server can be implemented by an independent server or a server cluster composed of multiple servers.

[0027] like Figure 2 FIG. 1 is a flow chart of a pipeline vibration fatigue risk assessment method provided by Embodiment 2 of the present invention. The pipeline vibration fatigue risk assessment method is applied to Figure 1 The server in the server connects to the client to obtain the pipeline parameters of the pipeline to be evaluated, the medium parameters in the pipeline, the component composition set in the pipeline to be evaluated, and the excitation source data and evaluation conditions corresponding to each candidate excitation sent by the client. Figure 2 As shown, the evaluation method may include the following steps:

[0028] Step S201: Obtain pipeline parameters of the pipeline to be evaluated, parameters of the medium in the pipeline, and the composition of components set in the pipeline to be evaluated.

[0029] In this embodiment, the pipeline to be evaluated may refer to the pipeline to be subjected to vibration fatigue risk assessment, the pipeline parameters may be the physical parameters of the pipeline to be evaluated, such as the pipeline outer diameter, pipeline wall thickness and pipeline length of the pipeline to be evaluated, the medium parameters in the pipeline may refer to the parameters of the medium in the pipeline to be evaluated, such as the temperature, pressure, flow rate and flow velocity of the medium in the pipeline to be evaluated, and the elements may refer to the components used to connect, assemble, control or protect the pipeline, such as regulating valves, isolation valves, pressure relief valves and orifice plates.

[0030] Specifically, the pipeline parameters of the pipeline to be evaluated, the medium parameters in the pipeline, and the component composition set in the pipeline to be evaluated can be obtained from the design manual, flow chart, isometric diagram, valve manual, support and hanger manual and other documents of the pipeline system.

[0031] Step S202: According to the medium parameters and component composition in the pipeline, N candidate excitations having vibration fatigue effects on the pipeline to be evaluated are determined from preset excitations.

[0032] In this embodiment, the preset excitation may refer to a pre-set excitation that may have a vibration fatigue effect on the pipeline to be evaluated, and the candidate excitation may refer to an excitation that has a vibration fatigue effect on the pipeline to be evaluated, and N is an integer greater than 1.

[0033] Specifically, according to the flow rate of the medium in the pipeline to be evaluated, the maximum kinetic energy value of the medium in the pipeline to be evaluated is calculated. If the maximum kinetic energy value is greater than or equal to the preset kinetic energy value, the turbulence excitation induced by the fluid in the pipeline to be evaluated is determined from the preset excitations as a candidate excitation; if the medium in the pipeline to be evaluated is gas, and the calculated maximum kinetic energy value of the gas in the pipeline to be evaluated is greater than or equal to the preset kinetic energy value, the gas excitation caused by the closed branch on the pipeline to be evaluated is determined from the preset excitations as a candidate excitation; if there is a pressure reducing element such as an orifice plate, a pressure relief valve or a regulating valve on the pipeline to be evaluated, and the medium in the pipeline to be evaluated is If the pipeline to be evaluated is gas, the acoustic excitation is determined as a candidate excitation from the preset excitations; if there are pressure reducing elements such as orifice plates, pressure relief valves or regulating valves on the pipeline to be evaluated, and the medium in the pipeline to be evaluated is liquid or multiphase flow, the cavitation and flash excitations are determined as candidate excitations from the preset excitations; if there are fast-opening or fast-closing valves on the pipeline to be evaluated, the surge or momentum excitation caused by the valve operation on the pipeline to be evaluated is determined as a candidate excitation from the preset excitations; if high vibration events have occurred in the operation history of the pipeline to be evaluated and have not been controlled, the historical vibration excitation is determined as a candidate excitation from the preset excitations.

[0034] Step S203: Acquire the stimulus source data and evaluation conditions corresponding to each candidate stimulus, and for any candidate stimulus, determine the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data and evaluation conditions corresponding to the candidate stimulus.

[0035] In this embodiment, the excitation source data may refer to the data required for evaluating the vibration fatigue impact of the candidate excitation, the evaluation condition may refer to the method for evaluating the candidate excitation, and the evaluation score may represent the possibility of vibration fatigue failure of the candidate excitation on the pipeline to be evaluated.

[0036] Specifically, for any candidate stimulus of the pipeline to be evaluated, the stimulus source data and evaluation conditions corresponding to each candidate stimulus are obtained, and for any candidate stimulus, the evaluation score of the candidate stimulus is determined according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation conditions.

[0037] Step S204: Determine the highest evaluation score from the evaluation scores of the N candidate stimuli as the target score, and determine the vibration fatigue risk level of the pipeline to be evaluated based on the target score and a preset level table.

[0038] In this embodiment, the target score may refer to the highest evaluation score among N candidate excitations, and the preset grade table may refer to a pre-set mapping table for vibration fatigue grading of the pipeline to be evaluated.

[0039] Specifically, for any pipeline to be evaluated, the target score with the highest score is determined from the evaluation scores of the N candidate excitations of the pipeline to be evaluated, and the target score is used as the query condition to query the preset grade table to determine the vibration fatigue risk level of the pipeline to be evaluated corresponding to the target score.

[0040] For example, the target score of the pipeline to be evaluated is recorded as FL0. If the vibration fatigue risk of the pipeline to be evaluated is divided into three levels, namely RL1, RL2 and RL3, based on the target score FL0 of the pipeline to be evaluated, among which FL0≤0.3 is RL1, indicating low risk; 0.3<FL0≤0.5 is RL2, indicating medium risk; FL0>0.5 is RL3, indicating high risk.

[0041] Optionally, after the vibration fatigue risk level of the pipeline to be evaluated is determined, a control strategy for the pipeline to be evaluated may be determined based on the vibration fatigue risk level of the pipeline to be evaluated in combination with preset vibration fatigue risk guideline data.

[0042] In this embodiment, the workload of manual nuclear power pipeline network vibration risk detection is reduced through an automated assessment process, the assessment efficiency of the vibration fatigue risk of the nuclear power pipeline network system is improved, and a qualitative assessment is performed on the pipeline to be assessed, a candidate excitation is determined from a preset excitation, and a quantitative assessment is performed on the pipeline to be assessed based on the excitation source data and assessment conditions corresponding to the candidate excitation, thereby determining the vibration fatigue risk level of the pipeline to be assessed, taking various influencing factors into account more comprehensively, and improving the assessment accuracy of the vibration fatigue risk of the nuclear power pipeline network system, so that according to the results of the automated assessment, timely and accurate measures can be taken to intervene and prevent, reduce the risk of safety accidents such as leakage and rupture caused by vibration fatigue, and ensure the safe operation of the nuclear power pipeline network.

[0043] like Figure 3 As shown, it is a flow chart of a pipeline vibration fatigue risk assessment method provided by the third embodiment of the present invention. In the above step S203, the excitation source data corresponding to each candidate excitation is obtained, which may include the following steps:

[0044] Step S301: If the candidate excitation is a turbulent excitation induced by the fluid flow in the pipeline to be evaluated, the excitation source data corresponding to the turbulent excitation obtained includes: the kinetic energy and viscosity coefficient of the fluid in the pipeline to be evaluated, and the longest target span obtained by dividing the pipeline to be evaluated into spans.

[0045] In this embodiment, if the maximum kinetic energy value of the medium in the pipeline to be evaluated is greater than or equal to the preset kinetic energy value, the turbulent excitation induced by the fluid in the pipeline to be evaluated is determined from the preset excitations as a candidate excitation, the pipe span may refer to the pipe between two brackets with displacement constraints obtained by segmenting the pipeline to be evaluated according to the bracket form of the pipeline to be evaluated, and the target pipe span may refer to the longest pipe span.

[0046] Step S302: The pipeline parameters of the pipeline to be evaluated include: the outer diameter and wall thickness of the pipeline to be evaluated.

[0047] In the above step S203, determining the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation condition may include the following steps:

[0048] Step S303: Calculate the first-order natural frequency of the target pipe span, and determine the bracket arrangement type of the target pipe span according to the first-order natural frequency.

[0049] Step S304: Determine the flow-induced vibration coefficient of the target pipe span according to the support arrangement type, the outer diameter and the wall thickness of the pipe to be evaluated, and in combination with a preset flow-induced vibration coefficient table.

[0050] Step S305: Determine the evaluation score of turbulence excitation according to the flow-induced vibration coefficient, and the kinetic energy and viscosity coefficient of the fluid in the pipeline to be evaluated.

[0051] In this embodiment, the bracket arrangement type may refer to the supporting stiffness and flexibility of the bracket for the pipeline under different stress conditions. For example, the bracket arrangement type may include rigid, medium rigid, flexible and medium flexible. The preset flow-induced vibration coefficient table may refer to a pre-set mapping table for determining the flow-induced vibration coefficient.

[0052] For example, Table 1 is a parameter table for evaluating turbulence excitation provided in Embodiment 3 of the present invention.

[0053] Table 1

[0054]

[0055] Specifically, first, the first-order natural frequency of the target pipe span can be calculated by finite element method: ,like , then the support arrangement type of the target span is determined to be flexible. , then the bracket arrangement type of the target span is determined to be medium flexibility. , then the support arrangement type of the target span is determined to be medium rigidity. , then the support arrangement type of the target pipe span is determined to be rigid. Then, according to the support arrangement type of the target pipe span and the outer diameter of the pipe to be evaluated, the preset flow-induced vibration coefficient table is queried to determine the calculation formula of the flow-induced vibration coefficient corresponding to the support arrangement type of the target pipe span and the outer diameter of the pipe to be evaluated. The flow-induced vibration coefficient of the target pipe span is calculated according to the wall thickness and outer diameter of the pipe to be evaluated, combined with the determined calculation formula of the flow-induced vibration coefficient. Finally, the calculation formula for evaluation is performed according to the flow-induced vibration coefficient, the kinetic energy and viscosity coefficient of the fluid in the pipe to be evaluated, combined with turbulent excitation: , determine the evaluation score of the turbulence excitation of the pipeline to be evaluated.

[0056] In this embodiment, the kinetic energy and viscosity coefficient of the fluid can directly affect the flow state of the fluid, and thus affect the vibration characteristics of the pipeline. When evaluating turbulent excitation, considering the kinetic energy and viscosity coefficient of the fluid can more accurately reflect the actual excitation effect of the fluid flow on the pipeline. Based on the first-order natural frequency, the bracket arrangement type is determined to determine the flow-induced vibration coefficient. When evaluating turbulent excitation, the flow-induced vibration coefficient is considered, and the interaction between the physical properties of the pipeline itself and the fluid excitation is considered, thereby improving the accuracy of the evaluation.

[0057] like Figure 4 As shown, it is a flow chart of a pipeline vibration fatigue risk assessment method provided by the fourth embodiment of the present invention. In the above step S203, the excitation source data corresponding to each candidate excitation is obtained, which may include the following steps:

[0058] Step S401: If the candidate excitation is gas excitation caused by a closed branch pipe on the pipeline to be evaluated, the excitation source data corresponding to the acquired gas excitation includes: the Reynolds number and average velocity of the gas in the pipeline to be evaluated, and the sound velocity in the gas.

[0059] Step S402: The pipeline parameters of the pipeline to be evaluated include: the inner diameter of the pipeline to be evaluated, and the inner diameter, characteristic length and length of each closed branch pipe on the pipeline to be evaluated.

[0060] In the above step S203, determining the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation condition may include the following steps:

[0061] Step S403: For any closed branch pipe on the pipeline to be evaluated, if the inner diameter of the closed branch pipe is greater than or equal to the characteristic length of the closed branch pipe, and the Reynolds number of the gas in the pipeline to be evaluated is greater than a preset first value, the Strouhal number is calculated according to the inner diameter of the closed branch pipe and the inner diameter of the pipeline to be evaluated.

[0062] Step S404: Calculate the vortex shedding frequency caused by the closed branch pipe according to the Strouhal number, the average velocity of the gas in the pipeline to be evaluated, and the inner diameter of the closed branch pipe.

[0063] Step S405: Calculate the first-order acoustic modal frequency caused by the closed branch pipe according to the sound velocity in the gas in the pipeline to be evaluated and the branch pipe length of the closed branch pipe.

[0064] Step S406: Determine an evaluation score of gas excitation caused at the closed branch pipe according to the vortex shedding frequency and the first-order acoustic mode frequency caused by the closed branch pipe.

[0065] In this embodiment, if the medium in the pipeline to be evaluated is gas, and the calculated maximum kinetic energy value of the gas in the pipeline to be evaluated is greater than or equal to the preset kinetic energy value, the gas excitation caused by the closed branch on the pipeline to be evaluated is determined as a candidate excitation from the preset excitations.

[0066] For example, Table 2 is a parameter table for evaluating gas excitation provided in Embodiment 4 of the present invention.

[0067] Table 2

[0068]

[0069] For example, Figure 5 As shown, it is a schematic diagram of a flow chart of evaluating gas excitation provided in Embodiment 4 of the present invention.

[0070] like Figure 5 As shown, for any closed branch pipe on the pipeline to be evaluated, if the inner diameter of the closed branch pipe is less than the characteristic length of the branch pipe, the evaluation score of the gas excitation caused at the closed branch pipe is determined to be 0.29; if the inner diameter of the closed branch pipe is greater than or equal to the characteristic length of the branch pipe, and the Reynolds number of the gas in the pipeline to be evaluated is greater than the preset first value , then according to the inner diameter of the closed branch and the inner diameter of the pipeline to be evaluated, the final Strouhal number is calculated as follows: , calculate the final Strouhal number; based on the calculated final Strouhal number, the average velocity of the gas in the pipeline to be evaluated, and the inner diameter of the closed branch pipe, combined with the calculation formula of the vortex shedding frequency: , calculate the vortex shedding frequency caused by the closed branch pipe; and according to the sound velocity in the gas in the pipeline to be evaluated and the branch length of the closed branch pipe, combined with the calculation formula of the first-order acoustic mode frequency: , calculate the first-order acoustic modal frequency caused by the closed branch; if the ratio of the vortex shedding frequency to the first-order acoustic modal frequency of the closed branch is greater than or equal to 1, the evaluation score of the gas excitation caused by the closed branch is determined to be 1; otherwise, the evaluation score of the gas excitation caused by the closed branch is determined to be 0.29.

[0071] If the inner diameter of the closed branch pipe is greater than or equal to the characteristic length of the branch pipe, but the Reynolds number of the gas in the pipeline to be evaluated is less than or equal to the preset first value , then according to the inner diameter of the pipeline to be evaluated, the inner diameter of the branch pipe, the average velocity of the gas in the pipeline to be evaluated, the speed of sound in the gas and the Reynolds number, combined with the calculation formula of the initial Strouhal number: , calculate the initial Strouhal number; if the ratio of the inner diameter of the branch pipe to the inner diameter of the pipe to be evaluated is equal to 1, the final Strouhal number If the ratio of the inner diameter of the branch pipe to the inner diameter of the pipe to be evaluated is not equal to 1, the final Strouhal number ; According to the calculation formula of vortex shedding frequency, the vortex shedding frequency is calculated, and according to the calculation formula of first-order acoustic modal frequency, the first-order acoustic modal frequency is calculated; if the ratio of the vortex shedding frequency to the first-order acoustic modal frequency is greater than or equal to 1, the evaluation score of gas excitation caused by the closed branch pipe is determined to be 1, otherwise, the evaluation score of gas excitation caused by the closed branch pipe is determined to be 0.29.

[0072] Step S407: From the evaluation scores of gas excitation caused by all closed branches on the pipeline to be evaluated, determine the highest evaluation score as the evaluation score of gas excitation.

[0073] Specifically, according to the evaluation scores of gas excitation caused by all closed branches calculated on the pipeline to be evaluated, the one with the highest score is determined as the evaluation score of gas excitation of the pipeline to be evaluated.

[0074] In this embodiment, the vortex shedding frequency can describe the rate at which periodic vortex shedding is formed behind the object when the fluid flows through the object. The first-order acoustic mode frequency can reflect the response characteristics of the structure to sound waves. When the vortex shedding frequency is close to the first-order acoustic mode frequency, the possibility of resonance is higher, and a higher evaluation score is given to represent the degree of influence of gas excitation on the vibration fatigue of the pipeline to be evaluated. When evaluating gas excitation, considering the vortex shedding frequency and the first-order acoustic mode frequency can more accurately reflect the actual excitation effect of the gas excitation caused by the closed branch on the pipeline, thereby improving the accuracy of the evaluation.

[0075] like Figure 6 As shown, it is a flow chart of a pipeline vibration fatigue risk assessment method provided in Embodiment 5 of the present invention. Acquiring the excitation source data corresponding to each candidate excitation in the above step S203 may include the following steps:

[0076] Step S601: If the candidate excitation is an acoustic excitation, the excitation source data corresponding to the acquired acoustic excitation includes: a first sound power level at each sound source on the pipeline to be evaluated, a second sound power level from each sound source on the pipeline to be evaluated to each weld on the pipeline to be evaluated, and a first fatigue life factor at each weld on the pipeline to be evaluated.

[0077] Step S602: The pipeline parameters of the pipeline to be evaluated include: the outer diameter and wall thickness of the pipeline to be evaluated.

[0078] In the above step S203, determining the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation condition may include the following steps:

[0079] Step S603: If the first sound power level at each sound source on the pipeline to be evaluated is greater than or equal to the preset second value, then for any weld on the pipeline to be evaluated, the total sound power level from all sound sources on the pipeline to be evaluated to the weld is calculated according to the second sound power level from each sound source on the pipeline to be evaluated to the weld.

[0080] Step S604: If the total sound power level from all sound sources on the pipeline to be evaluated to the weld is greater than or equal to a preset second value, the number of initial cycles at which failure may occur at the weld is calculated based on the outer diameter and wall thickness of the pipeline to be evaluated and the total sound power level from all sound sources on the pipeline to be evaluated to the weld.

[0081] Step S605: Determine an evaluation score of the acoustic excitation according to the first fatigue life factor at the weld, the initial cycle number, the welding type at the weld, and the material type of the pipeline to be evaluated.

[0082] In this embodiment, if the pipeline to be evaluated has pressure reducing elements such as orifice plates, pressure relief valves or regulating valves, and the medium in the pipeline to be evaluated is gas, then the acoustic excitation is determined as a candidate excitation from the preset excitations. The sound source may refer to the location of the pressure reducing device such as the regulating valve, pressure reducing valve or throttling control on the pipeline to be evaluated, the first sound power level may refer to the sound power level at the sound source, the second sound power level may refer to any weld on the pipeline to be evaluated, and the sound power level of any single sound source to the weld, the first fatigue life factor may refer to the initial fatigue life factor, and the initial number of cycles may refer to the initial number of cycles at which failure may occur at the weld.

[0083] For example, Table 3 is a parameter table for evaluating audio excitation provided in Embodiment 5 of the present invention.

[0084] Table 3

[0085]

[0086] For example, Figure 7FIG. 1 is a flow chart of evaluating an audio stimulus provided by Embodiment 5 of the present invention.

[0087] like Figure 7 As shown, the first sound power level at each sound source on the pipeline to be evaluated is obtained. If the first sound power level at a sound source on the pipeline to be evaluated is less than the preset second value 155dB, the evaluation score of the acoustic excitation of the pipeline to be evaluated is determined to be 0.29; if the first sound power level at each sound source on the pipeline to be evaluated is greater than or equal to the preset second value 155dB, then for any weld on the pipeline to be evaluated, the second sound power level from each sound source to the weld is obtained, and the total sound power level from all sound sources on the pipeline to be evaluated to the weld is calculated according to the obtained second sound power level. The corresponding calculation formula for the total sound power level is: If the total sound power level from all sound sources to the weld is greater than or equal to the preset second value of 155 dB, the initial number of cycles where failure may occur at the weld is calculated based on the outer diameter and wall thickness of the pipeline to be evaluated, and the total sound power level from all sound sources on the pipeline to be evaluated to the weld, corresponding to the initial number of cycles The calculation formula is:

[0088] ;

[0089] in, , , , and according to the first fatigue life factor, the initial number of cycles, the welding type at the weld and the material type of the pipeline to be evaluated at the weld, determine the evaluation score of the acoustic excitation corresponding to the weld; if the total sound power level from all sound sources to the weld is less than the preset second value of 155 dB, then determine that the evaluation score of the acoustic excitation corresponding to the weld is 0.29; according to the evaluation scores of the acoustic excitation corresponding to all welds on the pipeline to be evaluated, determine the evaluation score of the acoustic excitation of the pipeline to be evaluated.

[0090] In this embodiment, the sound power level can reflect the size of the sound energy generated at the sound source. When calculating the evaluation score of the acoustic excitation, multiple factors such as the sound power level, fatigue life factor, welding type, and pipeline material type are comprehensively considered, which can more comprehensively reflect the actual impact of the acoustic excitation on the weld and improve the accuracy and reliability of the evaluation.

[0091] like Figure 8 FIG. 1 is a flow chart of a pipeline vibration fatigue risk assessment method provided in Embodiment 6 of the present invention. In the above step S605, the assessment score of the acoustic excitation is determined according to the first fatigue life factor at the weld, the initial cycle number, the welding type at the weld, and the material type of the pipeline to be assessed, which may include the following steps:

[0092] Step S801: multiplying the first fatigue life factor of the weld by the initial cycle number to obtain the first intermediate cycle number at which failure may occur at the weld.

[0093] Step S802: If the welding type at the weld is a welded closed branch pipe, the second fatigue life factor at the weld is calculated according to the total sound power level from all sound sources on the pipeline to be evaluated to the weld, combined with a preset second fatigue factor calculation formula.

[0094] Step S803: multiplying the first intermediate cycle number by the second fatigue life factor at the weld to obtain the second intermediate cycle number at which failure may occur at the weld.

[0095] Step S804: If the material type of the pipeline to be evaluated is duplex steel, the third fatigue life factor at the weld is calculated according to the total sound power level from all sound sources on the pipeline to be evaluated to the weld, combined with a preset third fatigue factor calculation formula.

[0096] Step S805: multiply the second intermediate cycle number by the third fatigue life factor at the weld to obtain the final cycle number at which failure may occur at the weld.

[0097] In this embodiment, the first intermediate cycle number, the second intermediate cycle number and the final cycle number are updated initial cycle numbers, the second fatigue life factor is a fatigue life factor determined according to the welding type at the weld, and the third fatigue life factor is a fatigue life factor determined by the material type of the pipeline to be evaluated.

[0098] For example, Table 4 is a parameter table for evaluating audio excitation provided in Embodiment 6 of the present invention.

[0099] Table 4

[0100]

[0101] like Figure 7 As shown, for any weld on the pipeline to be evaluated, the first fatigue life factor at the weld and the initial cycle number are multiplied to obtain the first intermediate cycle number at which failure may occur at the weld, that is, ; Determine whether the welding type at the weld is a welded closed branch pipe. If the welding type at the weld is a welded closed branch pipe, calculate the second fatigue life factor at the weld according to the total sound power level from all sound sources on the pipeline to be evaluated to the weld, combined with the preset second fatigue factor calculation formula. The second fatigue factor calculation formula is: , multiply the first intermediate cycle number by the second fatigue life factor at the weld to obtain the second intermediate cycle number where failure may occur at the weld, that is ; The material type of the pipeline to be evaluated is determined to be duplex steel. If the material type of the pipeline to be evaluated is duplex steel, the third fatigue life factor at the weld is calculated based on the total sound power level from all sound sources on the pipeline to be evaluated to the weld, combined with the preset third fatigue factor calculation formula. The third fatigue factor calculation formula is: , multiply the second intermediate cycle number by the third fatigue life factor at the weld to obtain the final cycle number where failure may occur at the weld, that is, .

[0102] After determining whether the welding type at the weld is a welded closed branch pipe in the above process, if the welding type at the weld is not a welded closed branch pipe, the material type of the pipeline to be evaluated is determined to be duplex steel. If the material type of the pipeline to be evaluated is duplex steel, the first intermediate cycle number is multiplied by the third fatigue life factor at the weld to obtain the final cycle number at which failure may occur at the weld, that is, , if the material type of the pipeline to be evaluated is not duplex steel, the initial number of cycles at which failure may occur at the weld is the final number of cycles.

[0103] Step S806: Determine the evaluation score of the acoustic excitation according to the final number of cycles at which failure may occur at all welds on the pipeline to be evaluated.

[0104] For any weld, the final number of cycles that may cause failure at the weld is calculated based on the frequency corresponding to the number of cycles: ,calculate ,like , then take is 0.0, if , then take is 1.0; if is greater than or equal to 0.5, then the evaluation score of the acoustic excitation corresponding to the weld is Corresponding value, otherwise, the evaluation score of the acoustic excitation corresponding to the weld is 0.29; the evaluation scores of the acoustic excitation corresponding to all welds on the pipeline to be evaluated are compared with 1, and corrective measures need to be taken at the welds with scores greater than or equal to 1, and the evaluation score greater than or equal to 1 is the evaluation score of the acoustic excitation of the pipeline to be evaluated.

[0105] In this embodiment, by calculating the number of cycles in which failure may occur at the weld, the failure risk of the weld under specific acoustic excitation can be predicted, so that measures can be taken in advance to prevent weld failure and avoid accidents. When calculating the acoustic excitation, multiple factors such as sound power level, fatigue life factor, welding type, and pipeline material type are comprehensively considered, which can more comprehensively reflect the actual impact of acoustic excitation on the weld and improve the accuracy and reliability of the evaluation.

[0106] like Fig. 9 As shown, it is a flow chart of a pipeline vibration fatigue risk assessment method provided by Embodiment 7 of the present invention. Acquiring the excitation source data corresponding to each candidate excitation in the above step S203 may include the following steps:

[0107] Step S901: If the candidate excitation is a surge or momentum excitation caused by a fast opening operation of a dry gas valve on the pipeline to be evaluated, the excitation source data corresponding to the surge or momentum excitation caused by the fast opening operation of the dry gas valve obtained includes: a first limit force that the pipeline to be evaluated can withstand, a mass flow rate, a molecular weight, a specific heat ratio of the gas formed by the fast opening operation of the dry gas valve, and a temperature upstream of the dry gas valve.

[0108] In this embodiment, if the pipeline to be evaluated has a valve with a dry gas valve that opens quickly, then the surge or momentum excitation caused by the dry gas valve fast opening operation on the pipeline to be evaluated is determined from the preset excitations as a candidate excitation, the first limit force may refer to the limit force or safety threshold that the pipeline to be evaluated can withstand when the medium is gas and the valve operation is the dry gas valve fast opening operation, and the first peak force may refer to the maximum impact force generated by the dry gas valve fast opening operation in the pipeline to be evaluated.

[0109] In the above step S203, determining the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation condition may include the following steps:

[0110] Step S902: Calculate the first peak force generated by the dry gas valve fast opening operation according to the mass flow, molecular weight, specific heat ratio of the gas generated by the dry gas valve fast opening operation and the temperature upstream of the dry gas valve.

[0111] Step S903: determining an evaluation score of surge or momentum excitation caused by the fast opening operation of the dry gas valve according to the first peak force and the first limit force.

[0112] For example, Table 5 is a parameter table for evaluating surge or momentum excitation caused by fast opening operation of a dry gas valve provided in Embodiment 7 of the present invention.

[0113] Table 5

[0114]

[0115] Specifically, according to the mass flow rate, molecular weight, specific heat ratio of the gas formed by the quick opening operation of the dry gas valve and the temperature upstream of the dry gas valve, the first peak force formed by the quick opening operation of the dry gas valve is calculated, and the calculation formula corresponding to the first peak force is: The ratio of the first peak force to the first limit force is used as an evaluation score of surge or momentum excitation caused by the fast opening operation of the dry gas valve on the pipeline to be evaluated.

[0116] In this embodiment, the first limit force can represent the limit force or safety threshold that the pipeline to be evaluated can withstand when the medium is gas and the valve operation is a dry gas valve fast opening operation. The first peak force can represent the maximum impact force generated by the dry gas valve fast opening operation in the pipeline to be evaluated. When evaluating the surge or momentum excitation caused by the dry gas valve fast opening operation, comparing the first limit force and the first peak force can intuitively reflect the degree of influence of the dry gas valve fast opening operation on the actual vibration fatigue of the pipeline to be evaluated, thereby improving the accuracy of the evaluation.

[0117] like Fig.10 As shown, it is a flow chart of a pipeline vibration fatigue risk assessment method provided by Embodiment 8 of the present invention. Acquiring the excitation source data corresponding to each candidate excitation in the above step S203 may include the following steps:

[0118] Step S1001: If the candidate excitation is a surge or momentum excitation caused by liquid or multiphase valve operation on the pipeline to be evaluated, the excitation source data corresponding to the surge or momentum excitation caused by the liquid or multiphase valve operation obtained include: a second limit force that the pipeline to be evaluated can withstand, a sound velocity and a steady-state fluid velocity in the liquid or multiphase flow, and a third limit force that the pipeline to be evaluated can withstand, a mass flow rate and a static pressure drop of the liquid or multiphase flow.

[0119] Step S1002: The pipeline parameters of the pipeline to be evaluated include: the inner diameter of the pipeline to be evaluated.

[0120] In this embodiment, if there is a valve with a liquid or multiphase valve that opens or closes quickly on the pipeline to be evaluated, the surge or momentum excitation caused by the fast opening or closing operation of the liquid or multiphase valve on the pipeline to be evaluated is determined from the preset excitations as a candidate excitation, the second limit force may refer to the limit force or safety threshold that the pipeline to be evaluated can withstand when the medium is a liquid multiphase flow and the valve operation is a liquid or multiphase valve fast closing operation, the second peak force may refer to the maximum impact force generated by the liquid or multiphase valve fast closing operation in the pipeline to be evaluated, the third limit force may refer to the limit force or safety threshold that the pipeline to be evaluated can withstand when the medium is a liquid multiphase flow and the valve operation is a liquid or multiphase valve fast opening operation, and the second peak force may refer to the maximum impact force generated by the liquid or multiphase valve fast opening operation in the pipeline to be evaluated.

[0121] In the above step S203, determining the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation condition may include the following steps:

[0122] Step S1003: If the liquid or multiphase valve operation is a quick closing operation, the second peak force formed by the quick closing operation of the liquid or multiphase valve is calculated according to the sound velocity, steady-state fluid velocity in the liquid or multiphase flow formed by the quick closing operation of the liquid or multiphase valve, and the internal diameter of the pipeline to be evaluated.

[0123] Step S1004: Determine an evaluation score of surge or momentum excitation caused by a fast closing operation of a liquid or multiphase valve according to the second peak force and the second limit force.

[0124] For example, Table 6 is a parameter table for evaluating surge or momentum excitation caused by liquid or multi-phase valve operation provided in Embodiment 8 of the present invention.

[0125] Table 6

[0126]

[0127] Specifically, if the liquid or multiphase valve operation is a fast closing operation, the second peak force formed by the liquid or multiphase valve fast closing operation is calculated according to the sound velocity, steady-state fluid velocity, and the inner diameter of the pipeline to be evaluated in the liquid or multiphase valve fast closing operation. The calculation formula for the second peak force is: ,like , the evaluation score of surge or momentum excitation caused by fast closing operation of liquid or multiphase valve is 0; otherwise, the ratio of the second peak force to the second limit force is used as the evaluation score of surge or momentum excitation caused by fast closing operation of liquid or multiphase valve.

[0128] Step S1005: If the liquid or multiphase valve operation is a fast opening operation, the third peak force formed by the liquid or multiphase valve fast closing operation is calculated according to the mass flow rate and static pressure drop of the liquid or multiphase flow formed by the liquid or multiphase valve fast opening operation.

[0129] Step S1006: Determine an evaluation score of surge or momentum excitation caused by a fast opening operation of a liquid or multiphase valve according to the third peak force and the third limit force.

[0130] If the liquid or multiphase valve operation is a fast opening operation, the third peak force formed by the fast closing operation of the liquid or multiphase valve is calculated according to the mass flow rate and static pressure drop of the liquid or multiphase flow formed by the fast opening operation of the liquid or multiphase valve. The calculation formula corresponding to the third peak force is: The ratio of the third peak force to the third limit force is used as an evaluation score for surge or momentum excitation caused by fast opening operation of a liquid or multiphase valve.

[0131] In this embodiment, the second limit force and the third limit force can represent the limit force or safety threshold that the pipeline to be evaluated can withstand when the medium is liquid multiphase flow and the valve operation is liquid or multiphase valve fast closing or fast opening operation. The second peak force and the third peak force can represent the maximum impact force generated by the liquid or multiphase valve fast closing or fast opening operation in the pipeline to be evaluated. When evaluating the surge or momentum excitation caused by the liquid or multiphase valve fast closing or fast opening operation, based on the second limit force, the third limit force, the second peak force and the third peak force, the actual vibration fatigue influence of the liquid or multiphase valve fast closing or fast opening operation on the pipeline to be evaluated can be intuitively reflected, thereby improving the accuracy of the evaluation.

[0132] like Fig.11 As shown, it is a flow chart of a pipeline vibration fatigue risk assessment method provided by Embodiment 9 of the present invention. Acquiring the excitation source data corresponding to each candidate excitation in the above step S203 may include the following steps:

[0133] Step S1101: If the candidate excitation is cavitation and flash excitation, the excitation source data corresponding to the cavitation and flash excitation obtained include: the upstream static pressure, downstream static pressure, liquid vapor pressure at upstream temperature and the pressure difference between the upstream pressure and the saturated vapor pressure of each pressure reducing element on the pipeline to be evaluated.

[0134] In this embodiment, if the pipeline to be evaluated has a pressure reducing element such as an orifice plate, a pressure relief valve or a regulating valve, and the medium in the pipeline to be evaluated is a liquid or a multiphase flow, cavitation and flash excitation are determined as a candidate excitation from the preset excitations.

[0135] In the above step S203, determining the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation condition may include the following steps:

[0136] Step S1102: For any pressure reducing element on the pipeline to be evaluated, the pressure difference between the upstream static pressure and the downstream static pressure of the pressure reducing element is calculated.

[0137] Step S1103: Determine the evaluation score of cavitation and flash excitation according to the pressure difference between the upstream static pressure and the downstream static pressure of the pressure reducing element, the downstream static pressure, the liquid vapor pressure at the upstream temperature, and the pressure difference between the upstream pressure and the saturated vapor pressure.

[0138] For example, Table 7 is a parameter table for evaluating cavitation and flash excitation provided in Embodiment 9 of the present invention.

[0139] Table 7

[0140]

[0141] For example, Fig.12As shown, it is a schematic diagram of a process for evaluating cavitation and flash excitation provided in Embodiment 9 of the present invention.

[0142] For any pressure reducing element on the pipeline to be evaluated, if the ratio of the pressure difference between the upstream static pressure and the downstream static pressure of the pressure reducing element to the pressure difference between the upstream pressure and the saturated vapor pressure is greater than or equal to 1, and the downstream static pressure of the pressure reducing element is greater than or equal to the liquid vapor pressure at the upstream temperature, the evaluation score of cavitation excitation is determined to be 0.7, otherwise the evaluation score of flash excitation is determined to be 1.0.

[0143] If the ratio of the pressure difference between the upstream static pressure and the downstream static pressure of the pressure reducing element to the pressure difference between the upstream pressure and the saturated vapor pressure is less than 1, the evaluation scores of cavitation excitation and flash excitation are determined to be 0.

[0144] In this embodiment, cavitation and flash phenomena are usually directly related to pressure changes. When evaluating cavitation flash excitation, the upstream static pressure, downstream static pressure, liquid vapor pressure at upstream temperature and pressure difference of upstream pressure relative to saturated vapor pressure of the pressure reducing element are comprehensively considered, which can more intuitively reflect the actual excitation effect of cavitation flash excitation and improve the accuracy of evaluation.

[0145] like Fig.13 As shown, it is a flow chart of a pipeline vibration fatigue risk assessment method provided by the tenth embodiment of the present invention. In the above step S203, the excitation source data corresponding to each candidate excitation is obtained, which may include the following steps:

[0146] Step S1301: If the candidate excitation is a historical vibration excitation, the excitation source data corresponding to the historical vibration excitation obtained includes: the governance status of the historical vibration excitation.

[0147] In the above step S203, determining the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data corresponding to the candidate stimulus and the evaluation condition may include the following steps:

[0148] Step S1302: Determine the evaluation score of the historical vibration excitation according to the governance status.

[0149] In this embodiment, if a high vibration event has occurred in the operation history of the pipeline to be evaluated and has not been managed, the historical vibration excitation is determined as a candidate excitation from the preset excitations, and the management state may refer to the management state of the historical vibration excitation, which may include unsuccessful management and successful management. According to the management state, the evaluation score of the historical vibration excitation is determined.

[0150] In this embodiment, if a high vibration event has occurred in the operation history of the pipeline to be evaluated and has not been controlled, the historical vibration excitation is used as one of the candidate excitations, thereby comprehensively considering the historical vibration excitation and other candidate excitations, thereby improving the accuracy of the evaluation result.

[0151] The present application implements all or part of the processes in the above-mentioned embodiment method, and may also be completed through a computer program product. When the computer program product runs on a computer device, the computer device can implement the steps in the above-mentioned method embodiment when executing the computer program product.

[0152] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0153] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0154] In the embodiments provided in the present application, it should be understood that the disclosed devices / computer equipment and methods can be implemented in other ways. For example, the device / computer equipment embodiments described above are only schematic, for example, the division of modules or 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. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0155] 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 solution of this embodiment.

[0156] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A pipeline vibration fatigue risk assessment method, characterized in that: The evaluation method comprises the following steps: Obtaining pipeline parameters of the pipeline to be evaluated, parameters of the medium in the pipeline, and the composition of components set in the pipeline to be evaluated; According to the medium parameters in the pipeline and the composition of the components, N candidate excitations having vibration fatigue effects on the pipeline to be evaluated are determined from preset excitations, where N is an integer greater than 1; Acquire the stimulus source data and evaluation conditions corresponding to each of the candidate stimuli, and for any candidate stimulus, determine the evaluation score of the candidate stimulus according to the pipeline parameters, the stimulus source data and the evaluation conditions corresponding to the candidate stimulus; Determine the highest evaluation score from the evaluation scores of the N candidate stimuli as the target score, and determine the vibration fatigue risk level of the pipeline to be evaluated based on the target score and a preset level table; The obtaining of the stimulus source data corresponding to each of the candidate stimuli includes: If the candidate excitation is an acoustic excitation, the excitation source data corresponding to the acoustic excitation obtained includes: a first sound power level at each sound source on the pipeline to be evaluated, a second sound power level from each sound source on the pipeline to be evaluated to each weld on the pipeline to be evaluated, and a first fatigue life factor at each weld on the pipeline to be evaluated; The pipeline parameters of the pipeline to be evaluated include: the outer diameter and wall thickness of the pipeline to be evaluated; The step of determining the evaluation score of the candidate stimulus according to the pipeline parameter, the stimulus source data corresponding to the candidate stimulus, and the evaluation condition comprises: If the first sound power level at each sound source on the pipeline to be evaluated is greater than or equal to the preset second value, then for any weld on the pipeline to be evaluated, the total sound power level from all sound sources on the pipeline to be evaluated to the weld is calculated according to the second sound power level from each sound source on the pipeline to be evaluated to the weld; If the total sound power level from all sound sources on the pipeline to be evaluated to the weld is greater than or equal to the preset second value, the number of initial cycles at which failure may occur at the weld is calculated according to the outer diameter and wall thickness of the pipeline to be evaluated and the total sound power level from all sound sources on the pipeline to be evaluated to the weld; determining an evaluation score of the acoustic excitation according to a first fatigue life factor at the weld, the initial number of cycles, a welding type at the weld, and a material type of the pipeline to be evaluated; Determining the evaluation score of the acoustic excitation according to the first fatigue life factor at the weld, the initial cycle number, the welding type at the weld, and the material type of the pipeline to be evaluated includes: Multiplying the first fatigue life factor at the weld by the initial number of cycles to obtain a first intermediate number of cycles at which failure may occur at the weld; If the welding type at the weld is a welded closed branch pipe, the second fatigue life factor at the weld is calculated according to the total sound power level from all sound sources on the pipeline to be evaluated to the weld, combined with a preset second fatigue factor calculation formula; Multiplying the first intermediate cycle number by a second fatigue life factor at the weld to obtain a second intermediate cycle number at which failure may occur at the weld; If the material type of the pipeline to be evaluated is duplex steel, the third fatigue life factor at the weld is calculated according to the total sound power level from all sound sources on the pipeline to be evaluated to the weld, combined with a preset third fatigue factor calculation formula; Multiplying the second intermediate cycle number by the third fatigue life factor at the weld to obtain a final cycle number at which failure may occur at the weld; The evaluation score of the acoustic excitation is determined according to the final number of cycles at which failure may occur at all welds on the pipeline to be evaluated.

2. The pipeline vibration fatigue risk assessment method according to claim 1, characterized in that: The obtaining of the stimulus source data corresponding to each of the candidate stimuli includes: If the candidate excitation is a turbulent excitation induced by the fluid flow in the pipeline to be evaluated, the excitation source data corresponding to the turbulent excitation obtained includes: the kinetic energy and viscosity coefficient of the fluid in the pipeline to be evaluated, and the longest target span obtained by dividing the pipeline to be evaluated into spans; The pipeline parameters of the pipeline to be evaluated include: the outer diameter and wall thickness of the pipeline to be evaluated; The step of determining the evaluation score of the candidate stimulus according to the pipeline parameter, the stimulus source data corresponding to the candidate stimulus, and the evaluation condition comprises: Calculating the first-order natural frequency of the target pipe span, and determining the bracket arrangement type of the target pipe span according to the first-order natural frequency; Determine the flow-induced vibration coefficient of the target pipe span according to the bracket arrangement type, the outer diameter and the wall thickness of the pipe to be evaluated, and in combination with a preset flow-induced vibration coefficient table; An evaluation score of the turbulence excitation is determined according to the flow-induced vibration coefficient, and the kinetic energy and viscosity coefficient of the fluid in the pipeline to be evaluated.

3. The pipeline vibration fatigue risk assessment method according to claim 1, characterized in that: The obtaining of the stimulus source data corresponding to each of the candidate stimuli includes: If the candidate excitation is a gas excitation caused by a closed branch pipe on the pipeline to be evaluated, the excitation source data corresponding to the gas excitation obtained includes: the Reynolds number and average velocity of the gas in the pipeline to be evaluated, and the sound velocity of the gas; The pipeline parameters of the pipeline to be evaluated include: the inner diameter of the pipeline to be evaluated, and the inner diameter, characteristic length and length of each closed branch pipe on the pipeline to be evaluated; The step of determining the evaluation score of the candidate stimulus according to the pipeline parameter, the stimulus source data corresponding to the candidate stimulus, and the evaluation condition comprises: For any closed branch pipe on the pipeline to be evaluated, if the inner diameter of the closed branch pipe is greater than or equal to the characteristic length of the closed branch pipe, and the Reynolds number of the gas in the pipeline to be evaluated is greater than a preset first value, then the Strouhal number is calculated according to the inner diameter of the closed branch pipe and the inner diameter of the pipeline to be evaluated; Calculating the vortex shedding frequency caused by the closed branch pipe according to the Strouhal number, the average velocity of the gas in the pipeline to be evaluated, and the inner diameter of the closed branch pipe; Calculating the first-order acoustic modal frequency caused by the closed branch pipe according to the sound velocity of the gas in the pipeline to be evaluated and the branch pipe length of the closed branch pipe; Determining an evaluation score of the gas excitation caused at the closed branch pipe according to the vortex shedding frequency caused by the closed branch pipe and the first-order acoustic mode frequency; From the evaluation scores of the gas excitation caused by all the closed branches on the pipeline to be evaluated, the highest evaluation score is determined as the evaluation score of the gas excitation.

4. The pipeline vibration fatigue risk assessment method according to claim 1, characterized in that: The obtaining of the stimulus source data corresponding to each of the candidate stimuli includes: If the candidate excitation is a surge or momentum excitation caused by a fast opening operation of a dry gas valve on the pipeline to be evaluated, the excitation source data corresponding to the surge or momentum excitation caused by the fast opening operation of the dry gas valve obtained includes: a first limit force that the pipeline to be evaluated can withstand, a mass flow rate, a molecular weight, a specific heat ratio of the gas formed by the fast opening operation of the dry gas valve, and a temperature upstream of the dry gas valve; The step of determining the evaluation score of the candidate stimulus according to the pipeline parameter, the stimulus source data corresponding to the candidate stimulus, and the evaluation condition comprises: Calculating a first peak force generated by the fast opening operation of the dry gas valve according to the mass flow rate, molecular weight, specific heat ratio of the gas generated by the fast opening operation of the dry gas valve and the temperature upstream of the dry gas valve; An evaluation score of surge or momentum excitation caused by the fast-opening operation of the dry gas valve is determined according to the first peak force and the first limit force.

5. The pipeline vibration fatigue risk assessment method according to claim 1, characterized in that: The obtaining of the stimulus source data corresponding to each of the candidate stimuli includes: If the candidate excitation is a surge or momentum excitation caused by liquid or multiphase valve operation on the pipeline to be evaluated, the excitation source data corresponding to the surge or momentum excitation caused by the liquid or multiphase valve operation obtained include: a second limit force that the pipeline to be evaluated can withstand, a sound velocity in the liquid or multiphase flow, and a steady-state fluid velocity, and a third limit force that the pipeline to be evaluated can withstand, a mass flow rate of the liquid or multiphase flow, and a static pressure drop; The pipeline parameters of the pipeline to be evaluated include: the inner diameter of the pipeline to be evaluated; The step of determining the evaluation score of the candidate stimulus according to the pipeline parameter, the stimulus source data corresponding to the candidate stimulus, and the evaluation condition comprises: If the liquid or multiphase valve operation is a fast closing operation, a second peak force formed by the liquid or multiphase valve fast closing operation is calculated according to the sonic velocity in the liquid or multiphase flow formed by the liquid or multiphase valve fast closing operation, the steady-state fluid velocity, and the inner diameter of the pipeline to be evaluated; determining an evaluation score of surge or momentum excitation caused by the fast closing operation of the liquid or multiphase valve according to the second peak force and the second limit force; If the liquid or multiphase valve operation is a fast opening operation, a third peak force formed by the liquid or multiphase valve fast closing operation is calculated according to the mass flow rate and static pressure drop of the liquid or multiphase flow formed by the liquid or multiphase valve fast opening operation; An evaluation score of surge or momentum excitation caused by fast opening operation of the liquid or multiphase valve is determined based on the third peak force and the third limit force.

6. The pipeline vibration fatigue risk assessment method according to claim 1, characterized in that: The obtaining of the stimulus source data corresponding to each of the candidate stimuli includes: If the candidate excitation is cavitation and flash excitation, the excitation source data corresponding to the cavitation and flash excitation obtained include: the upstream static pressure, the downstream static pressure, the liquid vapor pressure at the upstream temperature, and the pressure difference between the upstream pressure and the saturated vapor pressure of each pressure reducing element on the pipeline to be evaluated; The step of determining the evaluation score of the candidate stimulus according to the pipeline parameter, the stimulus source data corresponding to the candidate stimulus, and the evaluation condition comprises: For any pressure reducing element on the pipeline to be evaluated, calculating the pressure difference between the upstream static pressure and the downstream static pressure of the pressure reducing element; The cavitation and flash excitation evaluation score is determined based on the pressure difference between the upstream static pressure and the downstream static pressure of the pressure reducing element, the downstream static pressure, the liquid vapor pressure at the upstream temperature, and the pressure difference of the upstream pressure relative to the saturated vapor pressure.

7. The pipeline vibration fatigue risk assessment method according to claim 1, characterized in that: The obtaining of the stimulus source data corresponding to each of the candidate stimuli includes: If the candidate excitation is a historical vibration excitation, the excitation source data corresponding to the historical vibration excitation obtained includes: the governance status of the historical vibration excitation; The step of determining the evaluation score of the candidate stimulus according to the pipeline parameter, the stimulus source data corresponding to the candidate stimulus, and the evaluation condition comprises: Based on the governance status, an evaluation score of the historical vibration excitation is determined.

8. The pipeline vibration fatigue risk assessment method according to claim 1, characterized in that: After determining the vibration fatigue risk level of the pipeline to be evaluated, the method further includes: According to the vibration fatigue risk level of the pipeline to be evaluated and in combination with preset vibration fatigue risk guideline data, a control strategy to be adopted for the pipeline to be evaluated is determined.

Citation Information

Patent Citations

  • Pipeline fatigue failure risk assessment method in combination with vibration monitoring

    CN116608419A