Pipeline anti-vibration performance optimization method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a pipeline anti-vibration performance optimization method and device, electronic equipment and a storage medium, and belongs to the technical field of pipeline vibration. The method comprises the steps of obtaining set length of a branch pipe and a preset main pipe flow velocity interval; calculating according to the set length of the branch pipe to obtain the acoustic modal frequency of the branch pipe; three-way contrast parameters of different original branch pipeline inner diameters are obtained; according to a preset main pipe flow velocity interval, the inner diameter of the original branch pipeline and the three-way contrast parameters, candidate vortex shedding frequencies are determined; screening each candidate vortex shedding frequency according to the branch pipe acoustic modal frequency to obtain a target vortex shedding frequency; performing structure optimization operation on the original three-way piece and the original branch pipeline based on the inner diameter of the original branch pipeline corresponding to the target vortex shedding frequency to obtain a target three-way piece and a target branch pipeline; replacing the original three-way piece with the target three-way piece, and replacing the original branch pipeline with the target branch pipeline. According to the embodiment of the invention, the possibility of strong vibration of the closed stagnant flow branch pipeline of the nuclear power unit can be reduced.

Description

Technical Field

[0001] The present application relates to the field of piping vibration technology, and in particular to a method and device for optimizing pipeline vibration resistance, an electronic device, and a storage medium. Background Art

[0002] In nuclear power plants, enclosed, stagnant branch piping in nuclear power units can experience excessive vibration during operation. This vibration is primarily due to the vortex shedding frequency at the tee being close to the branch pipe acoustic modal frequency and the natural frequency of the pipe, triggering fluid-acoustic-solid resonance, which poses a serious threat to the unit's safe operation. Because adjustments to piping structures in nuclear power units are limited by complex operating parameters, demanding loads, and plant space, traditional methods such as adjusting supports or overall structural modal frequencies are ineffective in mitigating this resonance risk. Therefore, reducing the likelihood of severe vibration in enclosed, stagnant branch piping in nuclear power units has become a pressing technical challenge. Summary of the Invention

[0003] The main purpose of the embodiments of the present application is to propose a pipeline vibration protection performance optimization method and device, electronic equipment and storage medium, aiming to reduce the possibility of strong vibration of the closed stagnant branch pipeline of the nuclear power unit from the vibration source.

[0004] To achieve the above objectives, a first aspect of an embodiment of the present application provides a pipeline vibration isolation performance optimization method, which is applied to optimize the vibration isolation performance of a nuclear power unit pipeline system. The nuclear power unit pipeline system includes a main pipeline and an original branch pipeline. The main pipeline and the original branch pipeline are interconnected through an original tee to form a tee structure. The method includes:

[0005] Obtaining a set branch pipe length corresponding to the original branch pipe and a preset main pipe flow rate interval corresponding to the main pipe;

[0006] Calculating the acoustic modal frequency according to the set length of the branch pipe to obtain the acoustic modal frequency of the branch pipe that matches the original branch pipe;

[0007] Obtaining a preset candidate tee parameter comparison table, wherein the candidate tee parameter comparison table is used to record tee comparison parameters corresponding to different original branch pipe inner diameters;

[0008] Determining candidate vortex shedding frequencies corresponding to different original branch pipe inner diameters based on the preset main pipe flow velocity interval, the inner diameters of each original branch pipe, and the three-way comparison parameters corresponding to the inner diameters of each original branch pipe;

[0009] Screening each of the candidate vortex shedding frequencies according to the branch pipe acoustic modal frequency to obtain a target vortex shedding frequency that meets a preset flow acoustic vibration isolation condition;

[0010] performing a structural optimization operation on the original tee and the original branch pipe based on the inner diameter of the original branch pipe corresponding to the target vortex shedding frequency to obtain a target tee and a target branch pipe;

[0011] The target tee piece replaces the original tee piece, and the target branch pipe replaces the original branch pipe, so as to optimize the vibration-proof performance of the nuclear power unit piping system.

[0012] In some embodiments, before the pipeline anti-vibration performance optimization method is performed, the method further includes pre-building a comparison table of candidate tee parameters, specifically including:

[0013] Acquire a plurality of preset candidate branch pipe inner diameters, and determine a candidate chamfer angle corresponding to each candidate branch pipe inner diameter;

[0014] Performing printing processing according to each candidate chamfer angle to obtain a candidate three-way connector corresponding to each candidate chamfer angle;

[0015] For each candidate three-way connector, welding a preset main pipeline, a candidate branch pipeline corresponding to the candidate three-way connector, and the candidate three-way connector to obtain a candidate three-way pipeline;

[0016] A candidate three-way parameter comparison table is constructed through each of the candidate three-way pipelines.

[0017] In some embodiments, constructing the candidate tee parameter comparison table by using each of the candidate tee pipes includes:

[0018] For each candidate three-way pipe, perform a flow acoustic resonance test on the candidate three-way pipe to obtain three-way control parameters of the candidate three-way pipe when the flow acoustic resonance occurs;

[0019] The candidate tee parameter comparison table is determined according to the tee comparison parameters of each candidate tee when flow acoustic resonance occurs and the branch pipe inner diameter of each candidate tee.

[0020] In some embodiments, performing a flow acoustic resonance test on the candidate three-way pipe to obtain three-way control parameters of the candidate three-way pipe when flow acoustic resonance occurs includes:

[0021] Installing a sliding bracket on the branch pipe of the candidate tee pipe, and installing a piston and a piston driving mechanism on the sliding bracket, wherein a sensor is provided on the piston;

[0022] Initializing the piston to a preset initial position via the piston driving mechanism;

[0023] Connecting the candidate three-way pipe to a water pump, and turning on the water pump to control the water flow rate of the candidate three-way pipe to a preset first flow rate;

[0024] The piston is controlled by the piston driving mechanism to move along the sliding bracket until it reaches a preset end position, during which sensing data of the sensor is collected to obtain sensing data;

[0025] The three-way comparison parameters of the candidate three-way pipe when flow acoustic resonance occurs are obtained by calculation based on the sensor data, the water flow velocity and the inner diameter of the branch pipe of the candidate three-way pipe.

[0026] In some embodiments, the sensory data includes pressure sensor data. The piston driving mechanism is used to control the piston to move along the sliding bracket until it reaches a preset end position, during which the sensory data of the sensor is collected. After the sensory data is obtained, the method further includes:

[0027] Performing jump signal detection on the pressure sensing data to obtain a jump signal detection result;

[0028] If the jump signal detection result indicates that there is no jump in the pressure sensor data, the piston is initialized to the preset initial position through the piston driving mechanism, the water pump connected to the candidate tee is adjusted, and the water flow rate of the candidate tee is controlled to be a preset second flow rate. The piston is controlled by the piston driving mechanism to move along the sliding bracket until it moves to the preset end position. During this period, the sensor data of the sensor is collected, and the sensor collection data is updated according to the sensor data.

[0029] In some embodiments, the sensory data includes piston distance data between the piston and the preset initial position during the movement of the piston, and pressure sensor data corresponding to the piston distance data. The calculation based on the sensory data, the water flow velocity, and the inner diameter of the branch pipe of the candidate tee to obtain the tee comparison parameters of the candidate tee when flow acoustic resonance occurs includes:

[0030] Obtaining a jump timestamp of the pressure sensing data, and filtering the piston distance data according to the jump timestamp to obtain target distance data;

[0031] The three-way comparison parameter is obtained by performing an aggregate calculation based on the target distance data, the water flow velocity and the inner diameter of the branch pipe of the candidate three-way pipe.

[0032] In some embodiments, performing printing processing according to each candidate chamfer angle to obtain a candidate tee connector corresponding to each candidate chamfer angle includes:

[0033] Perform printing processing according to each candidate chamfer angle to obtain each original three-way connector;

[0034] Each of the original three-way connectors is polished to obtain each of the candidate three-way connectors.

[0035] In some embodiments, polishing each of the original three-way connectors to obtain each of the candidate three-way connectors includes:

[0036] Calculate based on the preset water flow velocity and the candidate inner diameter of the branch pipe corresponding to each candidate chamfer angle to determine the Reynolds coefficient corresponding to each candidate chamfer angle;

[0037] Calculating based on the Reynolds coefficient and the candidate inner diameter of the branch pipe to obtain a turbulent boundary layer thickness;

[0038] Abrasive flow polishing is performed on each of the original three-way connectors until the difference between the surface roughness of the original three-way connector and the thickness of the turbulent boundary layer meets a preset polishing rule, thereby obtaining each of the candidate three-way connectors.

[0039] In some embodiments, the calculation based on the preset water flow rate and the candidate inner diameter of the branch pipe corresponding to each candidate chamfer angle to determine the Reynolds coefficient corresponding to each candidate chamfer angle includes:

[0040] Obtaining a circulating medium corresponding to the preset water flow rate, and looking up a preset medium kinematic viscosity table according to the fluid medium to obtain a target medium kinematic viscosity;

[0041] The Reynolds coefficient is obtained by calculation based on the target medium viscosity, the preset water flow velocity and the candidate inner diameter of the branch pipe.

[0042] In some embodiments, welding a preset main pipeline, a candidate branch pipeline corresponding to the candidate three-way connector, and the candidate three-way connector to obtain the candidate three-way pipeline includes:

[0043] Obtaining a preset weld distance, wherein the weld distance is the distance from the weld centerline to the branch pipe centerline of the candidate tee connector;

[0044] The preset main pipeline is welded to the candidate tee according to the weld distance, and the preset branch pipeline is welded to the candidate tee to which the preset main pipeline is welded, to obtain the candidate tee pipe.

[0045] In some embodiments, before the method, the method further includes predetermining the weld distance, including:

[0046] Constructing a welding model according to a plurality of preset candidate distances and a preset tee simulation model to obtain a plurality of candidate simulation models;

[0047] Performing fluid dynamics simulation on each of the candidate simulation models to obtain flow field distribution data;

[0048] The candidate distances are screened according to the flow field distribution data of each candidate simulation model to obtain the weld distance.

[0049] In some embodiments, screening the candidate distances according to the flow field distribution data of each candidate simulation model to obtain the weld distance includes:

[0050] For each candidate simulation model, vortex distribution data of the tee leading edge region in the candidate simulation model is obtained from the flow field distribution data corresponding to the candidate simulation model; wherein the tee leading edge region is a fixed detection region formed by extending a preset detection distance upstream and downstream along the axial direction of the main pipeline with the centerline of the branch pipeline as the origin;

[0051] If the vortex distribution data meets a preset rule, the candidate distance is determined to be the weld distance.

[0052] To achieve the above-mentioned objectives, a second aspect of an embodiment of the present application provides a pipeline vibration isolation performance optimization device, which is applied to optimize the vibration isolation performance of a nuclear power unit pipeline system. The nuclear power unit pipeline system includes a main pipeline and an original branch pipeline. The main pipeline and the original branch pipeline are interconnected through an original tee to form a tee structure. The device includes:

[0053] A first acquisition module is configured to acquire a set branch pipe length corresponding to the original branch pipe and a preset main pipe flow rate interval corresponding to the main pipe;

[0054] A frequency calculation module, configured to calculate an acoustic modal frequency according to the set length of the branch pipe, and obtain an acoustic modal frequency of the branch pipe that matches the original branch pipe;

[0055] A second acquisition module is used to obtain a preset candidate tee parameter comparison table, wherein the candidate tee parameter comparison table is used to record tee comparison parameters corresponding to different original branch pipe inner diameters;

[0056] a frequency determination module, configured to determine candidate vortex shedding frequencies corresponding to different original branch pipe inner diameters based on the preset main pipe flow velocity interval, the inner diameters of the original branch pipes, and the three-way comparison parameters corresponding to the inner diameters of the original branch pipes;

[0057] A frequency screening module, configured to screen each of the candidate vortex shedding frequencies according to the branch pipe acoustic modal frequency to obtain a target vortex shedding frequency that meets a preset flow acoustic vibration isolation condition;

[0058] a structural optimization module, configured to perform structural optimization operations on the original tee and the original branch pipeline based on the inner diameter of the original branch pipeline corresponding to the target vortex shedding frequency, to obtain a target tee and a target branch pipeline;

[0059] A performance optimization module is used to replace the original tee with the target tee and replace the original branch pipe with the target branch pipe, so as to optimize the vibration-proof performance of the nuclear power unit piping system.

[0060] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the method described in the first aspect when executing the computer program.

[0061] To achieve the above-mentioned purpose, the fourth aspect of the embodiments of the present application proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the method described in the first aspect.

[0062] This application proposes a pipeline vibration-proofing performance optimization method and device, electronic device, and storage medium. These methods calculate the corresponding branch pipe acoustic modal frequencies based on the original branch pipe set lengths and the preset main pipe flow velocity range of the main pipe. Furthermore, a candidate tee parameter comparison table is introduced, which records the mapping relationship between different original branch pipe inner diameters and tee structural parameters. Subsequently, based on the preset main flow velocity range and the tee parameters corresponding to the inner diameter of each original branch pipe, multiple groups of candidate vortex shedding frequencies are determined, and the above candidate vortex shedding frequencies are compared and screened with the branch pipe acoustic modal frequencies to select the target vortex shedding frequencies that meet the flow-acoustic vibration isolation conditions. Finally, based on the branch pipe inner diameter matching the target vortex shedding frequency, the original tee and the original branch pipe are structurally optimized and replaced. This does not require relying on traditional support bracket arrangements or overall modal frequency adjustment methods, but rather through the design of the tee structure and branch pipe size, the branch pipe avoids the frequency range that is prone to excite flow-acoustic resonance, thereby avoiding the risk of resonance in a structurally constrained scenario, effectively improving the vibration isolation performance of the nuclear power unit piping system, and solving the problem of strong vibration of closed stagnant branch pipes caused by resonance in nuclear power units. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a flow chart of a pipeline anti-vibration performance optimization method provided in an embodiment of the present application;

[0064] Figure 2 This is a flow chart of a pipeline anti-vibration performance optimization method provided by another embodiment of the present application;

[0065] Figure 3 yes Figure 2 Flowchart of step S202 in FIG.

[0066] Figure 4 yes Figure 3 Flowchart of step S302 in FIG.

[0067] Figure 5 yes Figure 4 Flowchart of step S401 in FIG.

[0068] Figure 6 yes Figure 2 Flowchart of step S203 in FIG.

[0069] Figure 7 This is a flow chart of a pipeline anti-vibration performance optimization method provided by another embodiment of the present application;

[0070] Figure 8 yes Figure 7 Flowchart of step S703 in FIG.

[0071] Figure 9 yes Figure 2 Flowchart of step S204 in FIG.

[0072] Figure 10 yes Figure 6 Flowchart of step S901 in FIG.

[0073] Figure 11 This is a flow chart of a pipeline anti-vibration performance optimization method provided by another embodiment of the present application;

[0074] Figure 12 yes Figure 10 Flowchart of step S1005 in FIG.

[0075] Figure 13 Schematic diagram of the structure of the pipeline anti-vibration performance optimization device provided in an embodiment of the present application;

[0076] Figure 14 Schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application;

[0077] Figure 15 This is a schematic diagram of the mapping relationship between the chamfer angle of a tee and the characteristic length provided in an embodiment of the present application;

[0078] Figure 16 This is a schematic diagram of a fluid flowing through a tee provided in an embodiment of the present application;

[0079] Figure 17This is a schematic diagram of a three-way structure provided with a sealing device and a data acquisition device provided in an embodiment of the present application;

[0080] Figure 18 This is a schematic diagram of the connection of the three-way control parameter experimental device provided in the embodiment of the present application;

[0081] Figure 19 This is a flow chart for obtaining three-way comparison parameters provided in an embodiment of the present application. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0083] It should be noted that although the device schematics illustrate functional module divisions and the flowcharts illustrate logical sequences, in certain circumstances, the steps shown or described may be performed in a sequence that differs from the module divisions in the device or the sequence in the flowcharts. The terms "first," "second," and so on, in the specification, claims, and drawings, are used to distinguish similar items and are not necessarily used to describe a specific sequence or precedence.

[0084] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0085] First, let’s analyze some of the terms used in this application:

[0086] Vortex shedding frequency: refers to the frequency at which vortices are periodically formed and alternately shed downstream of an object when a fluid passes around its surface. Vortex shedding frequency belongs to the research field of fluid mechanics and is a key parameter for describing flow instability and fluid-solid interaction characteristics. The magnitude of the vortex shedding frequency is related to factors such as the incoming flow velocity, the characteristic size of the object, and the viscosity of the fluid, and is often expressed by the dimensionless parameter Strauha number. In engineering, vortex shedding frequency has received great attention in various application scenarios such as nuclear power pipelines, bridge structures, chimneys, underwater structures, and aerospace components. In particular, when it is close to the natural frequency of the structure, it may cause flow-induced vibration, leading to fatigue damage or resonance failure. Through the study of vortex shedding frequency, structural risks can be identified in advance, and then regulated by optimizing structural parameters, setting spoilers, or adjusting support forms, thereby ensuring the safety and stability of the engineering system.

[0087] Acoustic mode frequency (AMF) refers to the specific frequency distribution corresponding to the standing wave resonance formed by sound waves in an enclosed or partially enclosed space due to boundary conditions. It is a key parameter in describing the spatial characteristics of the sound field in an acoustic system. AFM lies at the intersection of acoustics and structural dynamics and is widely used in technical scenarios such as noise control, equipment design, structural resonance analysis, and flow-acoustic coupling modeling. The value of AMF depends on factors such as the cavity geometry, boundary conditions, and the velocity of the gas medium. In a cavity or pipe with fixed boundary conditions, multiple AMFs can form, corresponding to different vibration modes of the sound pressure distribution. When the frequency of external excitation or internal disturbance approaches the AMF, the system may experience strong acoustic resonance, leading to acoustic energy accumulation, enhanced vibration, and even structural damage. This is particularly significant in nuclear power equipment, aircraft engines, burners, and complex piping systems. Accurate analysis and prediction of AMF can provide a basis for noise reduction design, resonance avoidance, and coupling suppression in engineering structures. AMF is a fundamental theoretical parameter for ensuring the acoustic stability and operational reliability of complex systems.

[0088] Flow-acoustic resonance (FAR) refers to a resonant phenomenon in which a fluid, during its flow, excites acoustic waves that match the system's acoustic modal frequencies. This results in the continuous amplification of acoustic energy at specific frequencies and coupling with flow disturbances. Flow-acoustic resonance falls within the research area of ​​coupled fluid mechanics and acoustics analysis and is a key mechanism for causing intense vibration and noise in engineering systems. This phenomenon is common in engineering equipment with complex boundaries or cavity structures. When the unstable perturbations caused by fluid flow couple with the frequency of the cavity's acoustic modes, a standing wave field with continuously increasing sound pressure is formed, which can even cause serious problems such as structural resonance, thermoacoustic instability, and fatigue failure. Flow-acoustic resonance is influenced by multiple factors, including flow velocity, structural dimensions, boundary conditions, and the fluid medium. Its research encompasses instability theory, acoustic modal analysis, numerical simulation, and experimental verification. Identifying and controlling the conditions for FAR can effectively mitigate engineering risks and improve the operational safety and structural reliability of equipment. FAR is a key issue in the fields of acoustic design and flow control.

[0089] In nuclear power plants, the enclosed, stagnant branch piping of nuclear power units can experience intense vibration during operation. This vibration is primarily due to the vortex shedding frequency at the tee being close to the branch pipe's acoustic modal frequency and the natural frequency of the pipe, triggering fluid-acoustic-solid resonance, which poses a serious threat to the unit's safe operation. Because adjustments to piping structures within nuclear power units are limited by complex operating parameters, demanding loads, and plant space, traditional methods such as adjusting supports or overall structural modal frequencies are ineffective in mitigating this resonance risk. Therefore, reducing the likelihood of intense vibration in enclosed, stagnant branch piping within nuclear power units has become a pressing technical challenge.

[0090] Based on this, the embodiments of the present application provide a pipeline vibration-proof performance optimization method and device, electronic equipment and storage medium, aiming to reduce the possibility of strong vibration of the closed stagnant branch pipeline of the nuclear power unit from the vibration source.

[0091] The embodiments of the present application provide a pipeline anti-vibration performance optimization method and device, electronic equipment and storage medium, which are specifically illustrated through the following embodiments. First, the pipeline anti-vibration performance optimization method in the embodiments of the present application is described.

[0092] The pipeline anti-vibration performance optimization method provided in the embodiment of the present application relates to the field of piping vibration technology. The pipeline anti-vibration performance optimization method provided in the embodiment of the present application can be applied to the terminal, can also be applied to the server side, and can also be software running in the terminal or the server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the pipeline anti-vibration performance optimization method, etc., but is not limited to the above forms.

[0093] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected via a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0094] Figure 1 This is an optional flow chart of a pipeline anti-vibration performance optimization method provided in an embodiment of the present application, which is applied to optimize the anti-vibration performance of a nuclear power unit pipeline system. The nuclear power unit pipeline system includes a main pipeline and an original branch pipeline. The main pipeline and the original branch pipeline are interconnected through an original tee to form a tee structure. Figure 1 The method may include but is not limited to steps S101 to S107.

[0095] Step S101, obtaining the branch pipe set length corresponding to the original branch pipe and the preset main pipe flow rate range corresponding to the main pipe;

[0096] Step S102, calculating the acoustic modal frequency according to the set length of the branch pipe to obtain the acoustic modal frequency of the branch pipe that matches the original branch pipe;

[0097] Step S103, obtaining a preset candidate tee parameter comparison table, where the candidate tee parameter comparison table is used to record tee comparison parameters corresponding to different original branch pipe inner diameters;

[0098] Step S104, determining candidate vortex shedding frequencies corresponding to different original branch pipe inner diameters based on a preset main pipe flow velocity interval, the inner diameters of each original branch pipe, and a three-way comparison parameter corresponding to each original branch pipe inner diameter;

[0099] Step S105, screening each candidate vortex shedding frequency according to the branch pipe acoustic modal frequency to obtain a target vortex shedding frequency that meets the preset flow acoustic vibration isolation conditions;

[0100] Step S106, performing a structural optimization operation on the original tee and the original branch pipe based on the inner diameter of the original branch pipe corresponding to the target vortex shedding frequency to obtain a target tee and a target branch pipe;

[0101] Step S107 , replacing the original tee with the target tee, and replacing the original branch pipe with the target branch pipe, so as to optimize the vibration-proof performance of the nuclear power unit piping system.

[0102] In steps S101 to S107 of the present embodiment, the branch pipe acoustic modal frequencies are calculated based on the original branch pipe set lengths and the preset main pipe flow rate range. Furthermore, a candidate tee parameter comparison table is introduced, which records the mapping relationship between different original branch pipe inner diameters and tee structural parameters. Subsequently, based on the preset main flow velocity range and the tee parameters corresponding to the inner diameter of each original branch pipe, multiple groups of candidate vortex shedding frequencies are determined, and the above candidate vortex shedding frequencies are compared and screened with the branch pipe acoustic modal frequencies to select the target vortex shedding frequencies that meet the flow-acoustic vibration isolation conditions. Finally, based on the branch pipe inner diameter matching the target vortex shedding frequency, the original tee and the original branch pipe are structurally optimized and replaced. This does not require relying on traditional support bracket arrangements or overall modal frequency adjustment methods, but rather through the design of the tee structure and branch pipe size, the branch pipe avoids the frequency range that is prone to excite flow-acoustic resonance, thereby avoiding the risk of resonance in a structurally constrained scenario, effectively improving the vibration isolation performance of the nuclear power unit piping system, and solving the problem of strong vibration of closed stagnant branch pipes caused by resonance in nuclear power units.

[0103] In step S101 of some embodiments, the nuclear power unit piping system is a component of the thermal circuit of a nuclear power plant, used to ensure the orderly transmission of working media such as coolant or steam between the main circuit and various auxiliary circuits. A main pipeline refers to a pipeline located on the main channel of the pipeline system and responsible for transporting the primary working fluid. An original branch pipeline refers to a branch channel initially installed lateral to the main pipeline, used to divert working fluid for local functional control or thermal regulation. This refers to a pipeline that has not undergone structural optimization, or is still in the design drawings and has not yet been implemented and has not undergone structural optimization. An original tee is a pipe fitting structure used to connect the main pipeline and the original branch pipeline. Its typical structure is a T-shaped or Y-shaped tee, which performs fluid diversion and local flow field steering. In this embodiment, it is a T-shaped tee. The set branch pipe length is the centerline length of the original branch pipe from the original tee connection point to the preset end point. The preset main pipe flow rate range refers to the range of flow rate variations allowed in the main pipeline under target operating conditions.

[0104] In step S102 of some embodiments, the acoustic modal frequency refers to the characteristic frequency corresponding to the standing wave state formed by the sound wave in the pipe cavity under specific boundary conditions and geometric structures. The acoustic modal frequency is usually represented by Hertz (Hz) as a unit of representation to reflect the frequency distribution characteristics of the excitation and coupling of various modes in the sound field in the cavity. In this embodiment, the branch pipe acoustic modal frequency is used to represent the inherent response characteristics of the original branch pipe to sound waves under given structural parameters. It is the basis for judging whether it is easy to couple with the vortex shedding frequency to induce flow-acoustic resonance.

[0105] The acoustic modal frequency is calculated as shown in formula (1):

[0106]

[0107] Among them, f s is the acoustic modal frequency, c is the predetermined sound velocity, which is related to the medium temperature of the medium flowing through the pipe. The sound velocity c can be obtained by looking up a preset medium temperature sound velocity table based on the medium temperature. h is the set length of the branch pipe.

[0108] See also Figure 15 In step S103 of some embodiments, the T-junction comparison parameters recorded in the candidate T-junction parameter comparison table include a characteristic length and a corresponding Strouhal number for calculating the vortex shedding frequency. The characteristic length is the effective inner diameter of the branch pipe, and its value varies with the chamfer angle of the T-junction structure.

[0109] like Figure 15 As mentioned above, there are three typical tee structures, which correspond to chamfer radii R1, R2 and R3, and corresponding effective characteristic lengths L1, L2 and L3.

[0110] In step S104 of some embodiments, the candidate vortex shedding frequency refers to the frequency corresponding to the periodic shedding of the vortex structure in the tee region formed between the original branch pipeline and the main pipeline under given flow conditions and geometric structure parameters.

[0111] The calculation method of the candidate vortex shedding frequency is as described in formula (2):

[0112]

[0113] Among them, S t is the Strauha number corresponding to the inner diameter of the original branch pipe in the three-way comparison parameters, L is the characteristic length, and the value is close to the inner diameter d of the original branch pipe, f v is the candidate vortex shedding frequency corresponding to the inner diameter of the original branch pipe, and u is the preset main pipe flow velocity range.

[0114] Note that because the characteristic length L of the fluid force field in a pipeline is fuzzy and difficult to measure directly, and the starting and key positions are unknown, this embodiment uses the branch pipe inner diameter instead of the characteristic length L to calculate the snail separation frequency. This constructs a tee parameter table for tee chamfer, branch pipe inner diameter, and Strouhal number.

[0115] like Figure 16 The figure shows a tee structure consisting of a closed stagnant branch pipe and a main pipe in a nuclear power unit. In the figure, the main pipe extends horizontally, with the fluid flowing at velocity u. The branch pipe is arranged vertically above the main pipe and connected to it to form a typical T-shaped tee structure. A closed branch pipe is a branch pipe that is not connected to the outside world and has a closed top. It is mainly used to simulate the acoustic and flow characteristics within the stagnant area.

[0116] In this figure, L represents the characteristic length of the original branch pipe, d represents the inner diameter of the original branch pipe, h is the vertical height of the closed branch pipe, which has a direct impact on the acoustic modal frequency, r is the tee chamfer angle, which corresponds to the inner diameter of the original branch pipe and is used to describe the structural transition morphology of the connection between the main pipe and the closed branch pipe, and parameter u is the average flow velocity of the fluid inside the main pipe.

[0117] In step S105 of some embodiments, the flow acoustic vibration isolation condition refers to a frequency avoidance criterion used to determine whether a candidate vortex shedding frequency is likely to be strongly coupled with the branch pipe acoustic modal frequency. When the frequency difference between the candidate vortex shedding frequency and the branch pipe acoustic modal frequency is outside a preset safety bandwidth, that is, when the two frequencies are not in the same frequency range or are not close neighbors, the candidate vortex shedding frequency is determined to meet the flow acoustic vibration isolation condition. The preset safety bandwidth can be set based on the actual system damping characteristics and frequency response sensitivity, for example, outside the range of ±5% or ±10% of the acoustic modal frequency.

[0118] It should be noted that the reason for screening based on flow-acoustic vibration prevention conditions is that if the candidate vortex shedding frequency is close to the branch pipe acoustic modal frequency, it is easy to cause flow-acoustic coupling resonance between the two during operation, thereby increasing the possibility of being consistent with the natural frequency of the pipeline, inducing the closed stagnant branch pipeline to produce periodic strong vibration. By setting the flow-acoustic vibration prevention conditions and screening the candidate vortex shedding frequencies accordingly, it is possible to exclude three-way pipelines with overlapping or too close frequencies. On this basis, by selecting the original branch pipe inner diameter that matches the target vortex shedding frequency, the original three-way fitting and the original branch pipe to be replaced are correspondingly determined, thereby adjusting the relationship between the branch pipe acoustic response characteristics and the local vortex formation mechanism at the structural level, and effectively avoiding the formation of resonance conditions.

[0119] In step S106 of some embodiments, the structural optimization operation refers to adjusting the structural dimensions of the original tee and the original branch pipe according to the tee comparison parameters corresponding to the target vortex shedding frequency, that is, the branch pipe inner diameter and chamfer angle.

[0120] In step S107 of some embodiments, the replacement operation refers to removing the original tee and the original branch pipe on the basis of the existing structure of the nuclear power unit, and installing the target tee and the target branch pipe after structural optimization, so that the structural parameters of the entire system are adapted to the target vortex shedding frequency, thereby destroying the conditions for the formation of flow-acoustic resonance and reducing the possibility of strong vibration of the closed stagnant branch pipe of the nuclear power unit.

[0121] See also Figure 2 In some embodiments, before step S101, the pipeline anti-vibration performance optimization method may further include but is not limited to steps S201 to S204:

[0122] Step S201, obtaining a plurality of preset candidate branch pipe inner diameters, and determining a candidate chamfer angle corresponding to each candidate branch pipe inner diameter;

[0123] Step S202: Printing is performed according to each candidate chamfer angle to obtain a candidate tee connector corresponding to each candidate chamfer angle;

[0124] Step S203: for each candidate three-way connector, welding the preset main pipeline, the candidate branch pipeline corresponding to the candidate three-way connector, and the candidate three-way connector to obtain a candidate three-way pipeline;

[0125] Step S204: construct a candidate tee parameter comparison table through each candidate tee pipeline.

[0126] In steps S201 to S204 shown in the embodiment of the present application, a plurality of preset candidate branch pipe inner diameters are obtained, and the candidate chamfer angle corresponding to each candidate branch pipe inner diameter is determined. Then, printing processing is performed according to each candidate chamfer angle to generate candidate three-way connectors that match each chamfer angle. Subsequently, the preset main pipeline, the candidate branch pipes corresponding to the candidate three-way connector, and the candidate three-way connector are welded. Finally, a candidate three-way parameter comparison table is constructed through multiple candidate three-way pipelines. In this way, when the tee is subsequently replaced, the tee comparison parameters under different tee structures can be determined according to the tee parameter comparison table, so that the snail disengagement frequency of the tee can be calculated.

[0127] In step S201 of some embodiments, the candidate chamfer angle refers to the geometric characteristic angle used to characterize the rounded transition area at the connection between the branch pipe and the main pipe in the tee structure, usually in degrees, reflecting the degree of structural deflection from the main flow channel to the branch channel.

[0128] Candidate chamfer angles can be determined by calculation. Specifically, based on the inner diameter of the candidate branch pipe and the pre-set main pipe, the angle from the main pipe axis to the branch pipe centerline within the region is calculated using a geometric relationship. Alternatively, a pre-set correspondence table can be used for lookup.

[0129] See also Figure 3 In some embodiments, step S202 may include but is not limited to steps S301 to S302:

[0130] Step S301, performing printing processing according to each candidate chamfer angle to obtain each original three-way connector;

[0131] Step S302 : polishing each original three-way connector to obtain each candidate three-way connector.

[0132] In steps S301 and S302, illustrated in the embodiment of the present application, printing is performed based on each candidate chamfer angle to obtain each original tee connector. Based on this, each original tee connector is polished to obtain each candidate tee connector. Introducing the polishing process after the tee structure is printed can remove interlayer protrusions, burrs, or surface unevenness that may have formed during the printing process, while maintaining the structural characteristics of the candidate chamfer angles. This prevents the accuracy of subsequent fluid dynamics data obtained in experiments from being affected by surface roughness or local geometric disturbances, and provides more reliable structural parameters for subsequently reducing the possibility of strong vibration in the closed stagnant branch pipes of nuclear power units.

[0133] In step S301 of some embodiments, the printing process is a three-dimensional printing process, that is, using a 3D printing device to convert the three-dimensional modeling data containing the candidate chamfer angle parameters into a solid structure, and preparing each original three-way connector by stacking layer by layer.

[0134] It should be noted that the localized aggregate dimensions can be determined based on CFD fluid simulation calculations, and then printed based on the model created by the CFD fluid simulation, avoiding the inaccessibility and processing deviations that can occur during manual production. For example, during the manual production process, on the one hand, manual labor cannot guarantee accuracy, and on the other hand, due to the structural geometric limitations of the tee, the production tool is often unable to perform effective and detailed operations on the interior, and it is even impossible to insert the tool into the interior.

[0135] After 3D printing, a candidate tee connector that is completely consistent with the CFD fluid simulation model corresponding to each chamfer angle can be obtained.

[0136] See also Figure 4In some embodiments, step S302 may include but is not limited to steps S401 to S403:

[0137] Step S401, calculating based on a preset water flow velocity and a candidate inner diameter of the branch pipe corresponding to each candidate chamfer angle to determine the Reynolds coefficient corresponding to each candidate chamfer angle;

[0138] Step S402, calculating based on the Reynolds coefficient and the candidate inner diameter of the branch pipe to obtain the turbulent boundary layer thickness;

[0139] Step S403 , performing abrasive flow polishing on each original three-way connector until the difference between the surface roughness of the original three-way connector and the thickness of the turbulent boundary layer meets a preset polishing rule, thereby obtaining each candidate three-way connector.

[0140] In the embodiment of the present application, steps S401 to S403 are shown, by calculating based on a preset water flow velocity and the candidate inner diameter of the branch pipe corresponding to each candidate chamfer angle, determining the Reynolds coefficient corresponding to each candidate chamfer angle, and then further calculating based on the Reynolds coefficient and the candidate inner diameter of the branch pipe to obtain the corresponding turbulent boundary layer thickness, and then performing abrasive flow polishing on each original three-way connector until the difference between the surface roughness of the original three-way connector and the turbulent boundary layer thickness meets the preset polishing rules, and finally obtaining each candidate three-way connector. In this way, a smooth transition interface that meets the boundary layer scale is formed on the surface of the candidate three-way connector, thereby avoiding local flow disturbances caused by surface burrs, sudden steps or processing residues, avoiding non-structural vortex shedding behavior that is irrelevant to the actual structure in subsequent experiments, and ensuring that the vortex shedding frequency test results can truly reflect the fluid characteristics of the three-way structure itself.

[0141] See also Figure 5 In some embodiments, step S401 includes but is not limited to steps S501 to S502:

[0142] Step S501, obtaining a circulating medium corresponding to a preset water flow rate, and looking up a preset medium kinematic viscosity table according to the fluid medium to obtain a target medium kinematic viscosity;

[0143] Step S502 : Calculate the Reynolds coefficient based on the target medium viscosity, the preset water flow velocity, and the candidate inner diameter of the branch pipe.

[0144] In steps S501 and S502, the flow medium corresponding to a preset water flow velocity is obtained. Based on the type of the flow medium, a table of preset medium kinematic viscosities is searched to obtain a target medium kinematic viscosity. The Reynolds coefficient is then calculated based on the target medium kinematic viscosity, the preset water flow velocity, and the candidate inner diameter of the branch pipe. This calculated Reynolds coefficient provides a data benchmark for subsequently accurately determining the turbulent boundary layer thickness of the original tee for polishing.

[0145] In step S501 of some embodiments, the preset water flow rate is the flow rate of the liquid flowing through the main pipe, and the target medium kinematic viscosity is a physical quantity that represents the ratio of unit dynamic viscosity to density and is used to describe the internal resistance characteristics of the fluid when flowing under shear force. The target medium kinematic viscosity is obtained by consulting a preset standard physical property parameter table.

[0146] In step S502 of some embodiments, a Reynolds coefficient is obtained by calculation based on the target medium viscosity, the preset water flow rate, and the candidate inner diameter of the branch pipe, as shown in formula (3):

[0147]

[0148] Where Re represents the Reynolds coefficient, u is the preset water flow velocity, D is the candidate inner diameter of the branch pipe, and v is the kinematic viscosity of the target medium.

[0149] In step S402 of some embodiments, the turbulent boundary layer thickness refers to the thickness of the transition region formed when the flow velocity gradually increases from zero velocity at the wall to the mainstream velocity due to viscosity during the flow development along the candidate inner diameter of the branch pipe. The turbulent boundary layer thickness is calculated based on the Reynolds coefficient and the candidate inner diameter of the branch pipe as shown in formula (4):

[0150]

[0151] Where δ is the thickness of the turbulent boundary layer, Re is the Reynolds coefficient, and D is the candidate inner diameter of the branch pipe.

[0152] In step S403 of some embodiments, when the surface roughness height of the original three-way connector does not exceed one tenth of the thickness of the turbulent boundary layer, it can be considered that the disturbance caused by the surface roughness has been completely absorbed by the boundary layer, and thus the impact on the main flow structure can be ignored, thereby avoiding the non-structural vortex shedding phenomenon caused by structural surface interference.

[0153] See also Figure 6 In some embodiments, step S203 includes but is not limited to steps S601 to S602:

[0154] Step S601, obtaining a preset weld distance, wherein the weld distance is the distance from the weld centerline to the branch pipe centerline of the candidate tee connector;

[0155] Step S602 : welding the preset main pipeline to the candidate tee according to the weld distance, and welding the preset branch pipeline to the candidate tee welded with the preset main pipeline, to obtain a candidate tee pipe.

[0156] In steps S601 to S602 shown in the embodiment of the present application, by obtaining a preset weld distance, a preset main pipeline is welded to a candidate tee connector according to the weld distance, and a preset branch pipeline is welded to the candidate tee connector welded with the preset main pipeline, thereby obtaining a candidate tee pipe, thereby simulating various tee pipes, providing a basis for determining the tee control parameters for subsequent experiments.

[0157] See also Figure 7 In some embodiments, before step S601, the pipeline anti-vibration performance optimization method may further include but is not limited to steps S701 to S703:

[0158] Step S701, constructing a welding model according to a plurality of preset candidate distances and a preset tee simulation model to obtain a plurality of candidate simulation models;

[0159] Step S702, performing fluid dynamics simulation on each candidate simulation model to obtain flow field distribution data;

[0160] Step S703 , screening candidate distances according to the flow field distribution data of each candidate simulation model to obtain the weld distance.

[0161] In steps S701 to S703 shown in the embodiment of the present application, a welding model is constructed based on multiple preset candidate distances and a preset tee simulation model to obtain multiple candidate simulation models, and then fluid dynamics simulation is performed on each candidate simulation model to obtain flow field distribution data. Finally, the candidate distances are screened based on the flow field distribution data of each candidate simulation model to obtain the weld distance, thereby avoiding the weld from causing non-uniform disturbances to the local flow field in the intersection area of ​​the main pipeline and the branch pipeline.

[0162] In step S701 of some embodiments, the candidate distance is the axial distance between the weld centerline and the branch pipe centerline. The tee simulation model is obtained by parametric modeling using a computer design platform. Specifically, computational fluid dynamics (CFD) software is used to load multiple candidate distances into a unified tee geometry template, and a weld structure simulation model corresponding to each candidate distance is established.

[0163] In step S702 of some embodiments, the fluid dynamics simulation involves a CFD solver numerically simulating the flow process within the candidate simulation model. The flow field distribution data includes information such as velocity vector distribution, pressure distribution, vorticity distribution data, and turbulent energy distribution. This data can indicate whether there are vortex structures concentrated within the tee region, abnormal local flow velocities, or stagnation in the recirculation zone, and is used to determine whether the weld location causes unexpected flow disturbances.

[0164] See also Figure 8 In some embodiments, step S703 may include but is not limited to steps S801 to S802:

[0165] Step S801: For each candidate simulation model, vorticity distribution data of the tee leading edge region in the candidate simulation model is obtained from the flow field distribution data corresponding to the candidate simulation model; wherein the tee leading edge region is a fixed detection region formed by extending a preset detection distance upstream and downstream along the axis of the main pipeline with the centerline of the branch pipeline as the origin;

[0166] Step S802: If the vortex distribution data meets the preset rules, the candidate distance is determined to be the weld distance.

[0167] Steps S801 to S802 shown in the embodiment of the present application obtain the vortex distribution data of the tee leading edge area in the candidate simulation model from the flow field distribution data corresponding to the candidate simulation model, and then when the vortex distribution data meets the preset rules, determine the candidate distance as the weld distance, thereby accurately determining the weld distance that will not cause disturbance.

[0168] In step S801 of some embodiments, the leading edge region of the tee is a symmetrical detection zone extending axially upstream and downstream of the main pipeline, centered at the intersection of the branch pipeline centerlines in the tee structure. The length of this detection zone is determined based on a preset detection distance. The vorticity distribution data is vector field data representing the local rotation intensity and is used to reflect the vortices induced by the weld.

[0169] In step S802 of some embodiments, when the vortex induced by the weld in the candidate simulation model gradually decays along the wall of the main pipeline and is basically dissipated before propagating to the leading edge area of ​​the tee, and no secondary vortex generation or strong vortex concentration occurs in the detection area, it can be determined that the flow characteristics corresponding to the candidate distance meet the stability requirements.

[0170] In step S602 of some embodiments, based on the weld distance, the preset main pipeline is first welded to the specified position of the candidate tee connector, and then the preset branch pipeline is welded to the candidate tee connector to which the main pipeline has been welded, thereby completing the overall structural assembly of the candidate tee pipe.

[0171] See also Figure 9In some embodiments, step S204 may include but is not limited to steps S901 to S902:

[0172] Step S901: For each candidate tee pipe, perform a flow-acoustic resonance test on the candidate tee pipe to obtain a tee control parameter when the flow-acoustic resonance occurs;

[0173] Step S902 : determining a candidate tee parameter comparison table according to the tee comparison parameters of each candidate tee when flow acoustic resonance occurs and the inner diameter of the branch pipe of each candidate tee.

[0174] In steps S901 to S902 shown in the embodiment of the present application, a flow acoustic resonance test is performed on the candidate tee pipe to obtain the tee comparison parameters of the candidate tee when the flow acoustic resonance occurs, and then a candidate tee parameter comparison table is determined based on the tee comparison parameters of each candidate tee when the flow acoustic resonance occurs and the inner diameter of the branch pipe of each candidate tee, so as to obtain the tee comparison parameters of each tee specification, and finally construct a candidate tee parameter comparison table.

[0175] See also Figure 10 In some embodiments, step S901 may include but is not limited to steps S1001 to S1005:

[0176] Step S1001: Install a sliding bracket on a branch pipe of a candidate tee pipe, and install a piston and a piston driving mechanism on the sliding bracket, wherein a sensor is provided on the piston;

[0177] Step S1002, initializing the piston to a preset initial position through the piston driving mechanism;

[0178] Step S1003: Connect the candidate three-way pipe to a water pump, start the water pump, and control the water flow rate of the candidate three-way pipe to a preset first flow rate;

[0179] Step S1004: Control the piston to move along the sliding bracket through the piston driving mechanism until it reaches a preset end position, during which the sensor data is collected to obtain sensor data;

[0180] Step S1005 , performing calculations based on the sensor data, the water flow velocity, and the inner diameter of the branch pipe of the candidate tee pipe to obtain the tee comparison parameters of the candidate tee pipe when flow-acoustic resonance occurs.

[0181] In the steps S1001 to S1005 shown in the embodiment of the present application, a sliding bracket is installed on the branch pipe of the candidate three-way pipe, and a piston and a piston driving mechanism are installed on the sliding bracket, and a sensor is provided on the piston. The piston is initialized to a preset initial position by the piston driving mechanism. The candidate three-way pipe is connected to a water pump, and the water pump is turned on to control the water flow rate in the candidate three-way pipe to be a preset first flow rate. The piston is controlled to move along the sliding bracket by the piston driving mechanism until it moves to the preset end position. During this period, the sensor data of the movement process is collected in real time by the sensor to obtain the corresponding sensor acquisition data. According to the sensor acquisition data, the water flow rate and the inner diameter of the branch pipe of the candidate three-way pipe, the three-way comparison parameters of the candidate three-way pipe when the flow acoustic resonance occurs are obtained, and the three-way comparison parameters of each three-way component when the flow acoustic resonance occurs are obtained.

[0182] In step S1001 of some embodiments, the sliding bracket is a linear guide structure arranged along the axial direction of the branch pipe, having an adjustable length range and positioning accuracy, and is used to control the unidirectional reciprocating motion of the piston along the direction of the branch pipe. The piston is a columnar structure that matches the inner diameter of the branch pipe. The piston drive mechanism is a programmable displacement actuator, such as a stepper motor, a servo push rod or an electro-hydraulic actuator, which is used to control the movement and stop position of the piston on the sliding bracket. The sensor is a pressure sensor installed on the surface or inside of the piston, which can collect the pressure sensing data of the piston and the position of the piston in real time.

[0183] In some embodiments, in step S1002, the initial position is preset as the connection point between the branch pipe and the main pipe, that is, the intersection of the branch pipe inlet and the main pipe axis in the candidate tee pipe, which is set as the zero scale position. This position is the starting reference point for the piston movement, and the unit position is zero.

[0184] In step S1003 of some embodiments, the candidate three-way pipe is connected to a water pump, and the water pump is turned on to control the water flow rate in the candidate three-way pipe to a preset first flow rate. The preset first flow rate is a typical cooling water flow rate in the main pipe under simulated nuclear power unit operating conditions, and this flow rate serves as a control variable for inducing flow-acoustic resonance.

[0185] In step S1004 of some embodiments, the piston's motion path within the branch pipe is a linear interval along the pipe's axial direction, extending from the main pipe connection to the distal closed end of the branch pipe. The preset endpoint is the maximum position the piston can reach on the sliding support. A sensor collects real-time pressure data on the piston, creating a one-to-one mapping between the sampling interval and the piston's displacement. This constructs a data sequence of piston position and pressure data, which serves as the basis for subsequent extraction of flow-acoustic resonance characteristics and inference of T-junction control parameters.

[0186] like Figure 17As shown, the main pipeline is a horizontally arranged main fluid channel with flange structures at both ends to achieve a sealed connection between the main pipeline and the external test system. The branch pipeline is a vertically arranged closed bypass channel with a sealing device at the top to prevent internal fluid leakage during testing and maintain system sealing without affecting piston movement.

[0187] At the intersection of the main pipeline and the closed branch pipe, a weld is used to achieve a structural connection. The axial length of the weld is denoted as a, representing the horizontal distance from the weld centerline to the centerline of the branch pipe. L is the centerline of the branch pipe, and R is the chamfer angle of the tee. A pressure sensor is installed in the sealing device and connected to a data acquisition device for real-time pressure data collection.

[0188] See also Figure 11 In some embodiments, the sensor data includes pressure sensor data. After step S1004, the pipeline vibration isolation performance optimization method may further include but is not limited to steps S1101 to S1102:

[0189] Step S1101, performing jump signal detection on the pressure sensing data to obtain a jump signal detection result;

[0190] In step S1102, if the jump signal detection result indicates that there is no jump in the pressure sensor data, the piston is initialized to a preset initial position through the piston drive mechanism, the water pump connected to the candidate tee is adjusted, and the water flow rate of the candidate tee is controlled to be a preset second flow rate. The piston is controlled to move along the sliding bracket through the piston drive mechanism until it moves to the preset end position. During this period, the sensor data of the sensor is collected, and the sensor collection data is updated according to the sensor data.

[0191] In steps S1101 to S1102 shown in the embodiment of the present application, at a preset first flow rate, when the piston moves from the initial position to the preset key position, flow acoustic resonance does not necessarily occur. Therefore, a jump signal detection is performed on the pressure sensing data to obtain a jump signal detection result. If the jump signal detection result indicates that there is no jump in the pressure sensing data, the piston is initialized to the preset initial position through the piston driving mechanism, and the water pump connected to the candidate tee is adjusted to control the water flow rate of the candidate tee to the preset second flow rate. The piston is controlled by the piston driving mechanism to move along the sliding bracket until it moves to the preset end position. During this period, the sensor data of the sensor is collected, and the sensor collection data is updated according to the sensor data, so as to accurately collect the tee comparison parameters of the candidate tee.

[0192] In step S1101 of some embodiments, jump signal detection refers to analyzing the change trend of pressure sensor data to identify the sudden change response caused by flow acoustic resonance. Specifically, a jump signal detection algorithm known in the art such as multi-point variance mutation criterion or time series-based anomaly recognition can be used, and this application does not impose specific restrictions. When the pressure sensor data rises or falls sharply beyond the set threshold in a short period of time, it can be determined that a jump signal exists. If the detection result is "jump exists", it indicates that the candidate three-way pipe structure has a response feature related to flow acoustic resonance under the current flow rate and piston motion path, that is, through the resonance of the flow sound, the frequency of the acoustic signal is effectively captured; if the detection result is "no jump exists", it indicates that no resonance response occurs at the test flow rate, and the water flow rate needs to be further adjusted to approach the actual excitation condition.

[0193] In some embodiments, the principle of step S1102 is the same as that of steps S1000 to S1004 of the present application, and will not be repeated here.

[0194] See also Figure 12 In some embodiments, the sensor data includes the distance data between the piston and a preset initial position during the movement of the piston, and the pressure sensor data corresponding to the piston distance data. Step S1005 may include but is not limited to steps S1201 to S1202:

[0195] Step S1201, obtaining a jump timestamp of the pressure sensor data, and filtering the piston distance data according to the jump timestamp to obtain target distance data;

[0196] Step S1202 , performing aggregation calculation based on the target distance data, the water flow velocity, and the inner diameter of the branch pipe of the candidate tee pipe to obtain the tee comparison parameters.

[0197] Steps S1201 to S1202 shown in the embodiment of the present application obtain the jump timestamp of the pressure sensor data, and based on the jump timestamp, filter the target distance data from the piston distance data to obtain the target distance data, and then perform aggregation calculation based on the target distance data, water flow rate and the inner diameter of the branch pipe of the candidate tee pipe to obtain the tee comparison parameters, and finally obtain the tee comparison parameters corresponding to the candidate tee pipe.

[0198] In step S1201 of some embodiments, the target distance data refers to the spatial position value corresponding to the axial displacement of the piston and the timestamp of the jump signal in the pressure sensor data during the movement of the piston along the sliding bracket, which is used to characterize the actual geometric position of the flow acoustic resonance excitation position relative to the branch pipe inlet, that is, to indicate the branch pipe length that will trigger flow acoustic resonance under the water flow rate and the candidate tee pipe.

[0199] In step S1202 of some embodiments, the aggregation calculation is as shown in formula (1) and (2) together, that is, formula (6):

[0200]

[0201] Among them, S t is the tee comparison parameter, u is the water flow velocity, d is the inner diameter of the branch pipe of the candidate tee, h is the target distance data, and c is the predetermined sound speed.

[0202] It should be noted that the reason for combining equations (1) and (2) is that the vortex shedding frequency of the tee is not calculated using a formula, but is measured using a flow-acoustic resonance device. When flow-acoustic resonance occurs, it means that the vortex shedding frequency is equal to or close to the acoustic modal frequency. Only then can equations (1) and (2) be combined. After combining them, a mapping relationship between the inner diameter of the branch pipe and the tee reference parameter is established under the tee chamfer corresponding to the candidate tee pipe.

[0203] See also Figure 18 In one embodiment, the experimental circuit consists of a main pipeline loop and a test section. The main pipeline loop uses a water pump to provide fluid driving force, while the test section is designed to simulate the operating conditions of a closed, stagnant branch pipeline in a nuclear power unit. Before the test, the water pump is turned on, and the flow rate is adjusted using a frequency converter and valves to ensure that the water flow in the main pipeline reaches the preset operating conditions. To eliminate additional vibrations that may be caused by the main pipeline connections, bellows structures are installed upstream and downstream of the test section to effectively isolate the test results from external mechanical vibrations. A water tank is located on one side of the main pipeline loop to provide the experimental fluid and absorb acoustic reflection signals. The end of the branch pipe in the test section is sealed by a piston. The axial movement of the sealing piston is controlled by a piston drive mechanism to simulate different branch pipe lengths. A sliding bracket is installed in the branch pipe to guide and adjust the piston's length. The sliding bracket can move along the branch pipe and be fixed at the target position. A pressure sensor is installed on the piston to record the pressure response signal inside the branch pipe in real time during the flow process. The collected data is uniformly processed and analyzed by the information acquisition system, thereby realizing the simulation and identification of the flow acoustic response characteristics of the closed stagnant branch pipe of the nuclear power unit under different structural parameters.

[0204] In step S902 of some embodiments, the inner diameters of the branch pipes and the tee comparison parameters corresponding to the candidate tees are recorded in a table to obtain a candidate tee parameter comparison table.

[0205] See also Figure 19In one embodiment, a preset tee chamfer angle is first obtained, and three-dimensional printing is performed according to the tee chamfer angle to form a plurality of candidate tees with different characteristic lengths. Subsequently, an experimental circuit is built and the water pump is turned on to adjust the flow rate so that the flow rate of the main pipeline meets the working condition requirements. After reaching the target flow rate, the effective length of the branch pipeline is adjusted by the sliding bracket, and the pressure response signal in the branch is collected in real time using the pressure sensor installed on the piston. When a typical jump signal under the flow acoustic resonance excitation condition is detected, the adjustment is stopped and the pressure sensing data in this state is recorded. The recorded data is analyzed and processed, and the tee comparison parameters corresponding to the current candidate tee are calculated in combination with the branch length, water flow rate and structural characteristics. After completing a set of tests, the current candidate tee is replaced and the above test process is repeated until a complete mapping relationship of chamfer angle-characteristic length-tee comparison parameters is constructed.

[0206] See also Figure 13 The present application also provides a pipeline vibration-proof performance optimization device for optimizing the vibration-proof performance of a nuclear power unit pipeline system. The nuclear power unit pipeline system includes a main pipeline and an original branch pipeline. The main pipeline and the original branch pipeline are interconnected through an original tee to form a tee structure, which can implement the above-mentioned pipeline vibration-proof performance optimization method. The device includes:

[0207] The first acquisition module 1301 is used to obtain the branch pipe set length corresponding to the original branch pipe and the preset main pipe flow rate range corresponding to the main pipe;

[0208] The frequency calculation module 1302 is used to calculate the acoustic modal frequency according to the set length of the branch pipe to obtain the acoustic modal frequency of the branch pipe that matches the original branch pipe;

[0209] The second acquisition module 1303 is used to obtain a preset candidate tee parameter comparison table, which is used to record tee comparison parameters corresponding to different original branch pipe inner diameters;

[0210] The frequency determination module 1304 is configured to determine candidate vortex shedding frequencies corresponding to different original branch pipe inner diameters based on a preset main pipe flow velocity interval, the inner diameters of each original branch pipe, and the three-way comparison parameters corresponding to the inner diameters of each original branch pipe;

[0211] The frequency screening module 1305 is used to screen each candidate vortex shedding frequency according to the branch pipe acoustic modal frequency to obtain a target vortex shedding frequency that meets the preset flow acoustic vibration isolation conditions;

[0212] A structure optimization module 1306 is configured to perform a structure optimization operation on the original tee and the original branch pipe based on the inner diameter of the original branch pipe corresponding to the target vortex shedding frequency, to obtain a target tee and a target branch pipe;

[0213] The performance optimization module 1307 is used to replace the original tee with the target tee and replace the original branch pipe with the target branch pipe to optimize the vibration-proof performance of the nuclear power unit piping system.

[0214] The specific implementation of the pipeline anti-vibration performance optimization device is basically the same as the specific embodiment of the above-mentioned pipeline anti-vibration performance optimization method, and will not be repeated here.

[0215] The present application also provides an electronic device comprising a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described pipeline vibration reduction performance optimization method. The electronic device can be any smart terminal, including a tablet computer and an in-vehicle computer.

[0216] See also Figure 14 , Figure 14 The hardware structure of an electronic device according to another embodiment is shown. The electronic device includes:

[0217] The processor 1401 may be implemented as a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is configured to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0218] The memory 1402 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1402 can store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1402 and is called by the processor 1401 to execute the pipeline vibration reduction performance optimization method of the embodiments of this application.

[0219] Input / output interface 1403, used to implement information input and output;

[0220] Communication interface 1404, used to implement communication interaction between this device and other devices, which can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WiFi, Bluetooth, etc.);

[0221] Bus 1405 , which transmits information between various components of the device (e.g., processor 1401 , memory 1402 , input / output interface 1403 , and communication interface 1404 );

[0222] The processor 1401 , the memory 1402 , the input / output interface 1403 and the communication interface 1404 are connected to each other in communication within the device via a bus 1405 .

[0223] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned pipeline vibration isolation performance optimization method is implemented.

[0224] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0225] The pipeline vibration-proofing performance optimization method, pipeline vibration-proofing performance optimization device, electronic device, and storage medium provided in the embodiments of the present application obtain the set branch pipe length of the original branch pipe and the preset main pipe flow velocity range of the main pipe, and calculate the corresponding branch pipe acoustic modal frequency based on the set branch pipe length. Furthermore, a candidate tee parameter comparison table is introduced, which records the mapping relationship between different original branch pipe inner diameters and tee structural parameters. Subsequently, based on the preset main flow velocity range and the tee parameters corresponding to the inner diameter of each original branch pipe, multiple groups of candidate vortex shedding frequencies are determined, and the above candidate vortex shedding frequencies are compared and screened with the branch pipe acoustic modal frequencies to select the target vortex shedding frequencies that meet the flow-acoustic vibration isolation conditions. Finally, based on the branch pipe inner diameter matching the target vortex shedding frequency, the original tee and the original branch pipe are structurally optimized and replaced. This does not require relying on traditional support bracket arrangements or overall modal frequency adjustment methods, but rather through the design of the tee structure and branch pipe size, the branch pipe avoids the frequency range that is prone to excite flow-acoustic resonance, thereby avoiding the risk of resonance in a structurally constrained scenario, effectively improving the vibration isolation performance of the nuclear power unit piping system, and solving the problem of strong vibration of closed stagnant branch pipes caused by resonance in nuclear power units.

[0226] The embodiments described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application and do not constitute a limitation on the technical solutions provided by the embodiments of this application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0227] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0228] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0229] Those skilled in the art will appreciate that all or some of the steps in the methods, systems, and functional modules / units in the devices disclosed above may be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0230] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0231] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0232] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, 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.

[0233] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0234] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0235] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes multiple instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: various media that can store programs, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0236] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention should be within the scope of the present invention.

Claims

1. A pipeline anti-vibration performance optimization method is applied to optimize the anti-vibration performance of a nuclear power unit pipeline system, wherein the nuclear power unit pipeline system includes a main pipeline and an original branch pipeline, wherein the main pipeline and the original branch pipeline are interconnected through an original tee to form a tee structure, characterized in that: The method comprises: Obtaining a set branch pipe length corresponding to the original branch pipe and a preset main pipe flow rate interval corresponding to the main pipe; Calculating the acoustic modal frequency according to the set length of the branch pipe to obtain the acoustic modal frequency of the branch pipe that matches the original branch pipe; Obtaining a preset candidate tee parameter comparison table, wherein the candidate tee parameter comparison table is used to record tee comparison parameters corresponding to different original branch pipe inner diameters; Determining candidate vortex shedding frequencies corresponding to different original branch pipe inner diameters based on the preset main pipe flow velocity interval, the inner diameters of each original branch pipe, and the three-way comparison parameters corresponding to the inner diameters of each original branch pipe; Screening each of the candidate vortex shedding frequencies according to the branch pipe acoustic modal frequency to obtain a target vortex shedding frequency that meets a preset flow acoustic vibration isolation condition; performing a structural optimization operation on the original tee and the original branch pipe based on the inner diameter of the original branch pipe corresponding to the target vortex shedding frequency to obtain a target tee and a target branch pipe; The target tee piece replaces the original tee piece, and the target branch pipe replaces the original branch pipe, so as to optimize the vibration-proof performance of the nuclear power unit piping system.

2. The method according to claim 1, characterized in that Before the pipeline anti-vibration performance optimization method is implemented, a parameter comparison table of candidate tees is pre-built, specifically including: Acquire a plurality of preset candidate branch pipe inner diameters, and determine a candidate chamfer angle corresponding to each candidate branch pipe inner diameter; Performing printing processing according to each candidate chamfer angle to obtain a candidate three-way connector corresponding to each candidate chamfer angle; For each candidate three-way connector, welding a preset main pipeline, a candidate branch pipeline corresponding to the candidate three-way connector, and the candidate three-way connector to obtain a candidate three-way pipeline; A candidate three-way parameter comparison table is constructed through each of the candidate three-way pipelines.

3. The method according to claim 2, characterized in that The step of constructing a candidate three-way parameter comparison table through each candidate three-way pipeline includes: For each candidate three-way pipe, perform a flow acoustic resonance test on the candidate three-way pipe to obtain three-way control parameters of the candidate three-way pipe when the flow acoustic resonance occurs; The candidate tee parameter comparison table is determined according to the tee comparison parameters of each candidate tee when flow acoustic resonance occurs and the branch pipe inner diameter of each candidate tee.

4. The method according to claim 3, characterized in that The step of performing a flow acoustic resonance test on the candidate three-way pipe to obtain three-way control parameters of the candidate three-way pipe when the flow acoustic resonance occurs includes: Installing a sliding bracket on the branch pipe of the candidate tee pipe, and installing a piston and a piston driving mechanism on the sliding bracket, wherein a sensor is provided on the piston; Initializing the piston to a preset initial position via the piston driving mechanism; Connecting the candidate three-way pipe to a water pump, and turning on the water pump to control the water flow rate of the candidate three-way pipe to a preset first flow rate; The piston is controlled by the piston driving mechanism to move along the sliding bracket until it reaches a preset end position, during which sensing data of the sensor is collected to obtain sensing data; The three-way comparison parameters of the candidate three-way pipe when flow acoustic resonance occurs are obtained by calculation based on the sensor data, the water flow velocity and the inner diameter of the branch pipe of the candidate three-way pipe.

5. The method according to claim 4, characterized in that The sensory data includes pressure sensor data. The piston is controlled by the piston driving mechanism to move along the sliding bracket until it reaches a preset end position. During this period, the sensory data of the sensor is collected. After the sensory data is obtained, the method further includes: Performing jump signal detection on the pressure sensing data to obtain a jump signal detection result; If the jump signal detection result indicates that there is no jump in the pressure sensor data, the piston is initialized to the preset initial position through the piston driving mechanism, the water pump connected to the candidate tee is adjusted, and the water flow rate of the candidate tee is controlled to be a preset second flow rate. The piston is controlled by the piston driving mechanism to move along the sliding bracket until it moves to the preset end position. During this period, the sensor data of the sensor is collected, and the sensor collection data is updated according to the sensor data.

6. The method according to claim 4, characterized in that The sensory data includes piston distance data between the piston and the preset initial position during the movement of the piston, and pressure sensor data corresponding to the piston distance data. The calculation based on the sensory data, the water flow velocity, and the inner diameter of the branch pipe of the candidate tee pipe to obtain the tee comparison parameters of the candidate tee pipe when flow acoustic resonance occurs includes: Obtaining a jump timestamp of the pressure sensing data, and filtering the piston distance data according to the jump timestamp to obtain target distance data; The three-way comparison parameter is obtained by performing an aggregate calculation based on the target distance data, the water flow velocity and the inner diameter of the branch pipe of the candidate three-way pipe.

7. The method according to claim 2, characterized in that The printing process is performed according to each candidate chamfer angle to obtain a candidate three-way connector corresponding to each candidate chamfer angle, including: Perform printing processing according to each candidate chamfer angle to obtain each original three-way connector; Each of the original three-way connectors is polished to obtain each of the candidate three-way connectors.

8. The method according to claim 7, characterized in that The polishing of each of the original three-way connectors to obtain each of the candidate three-way connectors includes: Calculate based on the preset water flow velocity and the candidate inner diameter of the branch pipe corresponding to each candidate chamfer angle to determine the Reynolds coefficient corresponding to each candidate chamfer angle; Calculating based on the Reynolds coefficient and the candidate inner diameter of the branch pipe to obtain a turbulent boundary layer thickness; Abrasive flow polishing is performed on each of the original three-way connectors until the difference between the surface roughness of the original three-way connector and the thickness of the turbulent boundary layer meets a preset polishing rule, thereby obtaining each of the candidate three-way connectors.

9. The method according to claim 8, characterized in that The calculation is performed based on the preset water flow velocity and the candidate inner diameter of the branch pipe corresponding to each candidate chamfer angle to determine the Reynolds coefficient corresponding to each candidate chamfer angle, including: Obtaining a circulating medium corresponding to the preset water flow rate, and looking up a preset medium kinematic viscosity table according to the fluid medium to obtain a target medium kinematic viscosity; The Reynolds coefficient is obtained by calculation based on the target medium viscosity, the preset water flow velocity and the candidate inner diameter of the branch pipe.

10. The method according to claim 2, characterized in that The step of welding a preset main pipeline, a candidate branch pipeline corresponding to the candidate three-way connector, and the candidate three-way connector to obtain a candidate three-way pipeline includes: Obtaining a preset weld distance, wherein the weld distance is the distance from the weld centerline to the branch pipe centerline of the candidate tee connector; The preset main pipeline is welded to the candidate tee according to the weld distance, and the preset branch pipeline is welded to the candidate tee to which the preset main pipeline is welded, to obtain the candidate tee pipe.

11. The method according to claim 10, characterized in that Prior to the method, the method further includes predetermining the weld distance, including: Constructing a welding model according to a plurality of preset candidate distances and a preset tee simulation model to obtain a plurality of candidate simulation models; Performing fluid dynamics simulation on each of the candidate simulation models to obtain flow field distribution data; The candidate distances are screened according to the flow field distribution data of each candidate simulation model to obtain the weld distance.

12. The method according to claim 11, characterized in that The step of screening the candidate distances according to the flow field distribution data of each candidate simulation model to obtain the weld distance includes: For each candidate simulation model, vortex distribution data of the tee leading edge region in the candidate simulation model is obtained from the flow field distribution data corresponding to the candidate simulation model; wherein the tee leading edge region is a fixed detection region formed by extending a preset detection distance upstream and downstream along the axial direction of the main pipeline with the centerline of the branch pipeline as the origin; If the vortex distribution data meets a preset rule, the candidate distance is determined to be the weld distance.

13. A pipeline vibration-proof performance optimization device, used for optimizing the vibration-proof performance of a nuclear power unit pipeline system, wherein the nuclear power unit pipeline system includes a main pipeline and an original branch pipeline, wherein the main pipeline and the original branch pipeline are interconnected through an original tee to form a tee structure, characterized in that: The device comprises: A first acquisition module is configured to acquire a set branch pipe length corresponding to the original branch pipe and a preset main pipe flow rate interval corresponding to the main pipe; A frequency calculation module, configured to calculate an acoustic modal frequency according to the set length of the branch pipe, and obtain an acoustic modal frequency of the branch pipe that matches the original branch pipe; A second acquisition module is used to obtain a preset candidate tee parameter comparison table, wherein the candidate tee parameter comparison table is used to record tee comparison parameters corresponding to different original branch pipe inner diameters; a frequency determination module, configured to determine candidate vortex shedding frequencies corresponding to different original branch pipe inner diameters based on the preset main pipe flow velocity interval, the inner diameters of the original branch pipes, and the three-way comparison parameters corresponding to the inner diameters of the original branch pipes; A frequency screening module, configured to screen each of the candidate vortex shedding frequencies according to the branch pipe acoustic modal frequency to obtain a target vortex shedding frequency that meets a preset flow acoustic vibration isolation condition; a structural optimization module, configured to perform structural optimization operations on the original tee and the original branch pipeline based on the inner diameter of the original branch pipeline corresponding to the target vortex shedding frequency, to obtain a target tee and a target branch pipeline; A performance optimization module is used to replace the original tee with the target tee and replace the original branch pipe with the target branch pipe, so as to optimize the vibration-proof performance of the nuclear power unit piping system.

14. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the pipeline anti-vibration performance optimization method according to any one of claims 1 to 12 when executing the computer program.

15. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the pipeline vibration isolation performance optimization method according to any one of claims 1 to 12 is implemented.

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