Sodium-cooled fast reactor air valve flow thermosetting coupling characteristic in-situ test system and stress analysis method

Abstract

The invention relates to the technical field of nuclear reactor engineering, in particular to a sodium-cooled fast reactor air valve flow thermosetting coupling characteristic in-situ test system, which comprises a data measurement module and a data acquisition module, and is used for acquiring measurement data information and measurement data timestamp information of each data measurement unit of the data measurement module; the data analysis module is used for determining whether to carry out data synchronization calibration or not based on the timestamp deviation threshold value of the data of each data measurement unit and the characteristic response time of the flow thermosetting coupling effect; the synchronous calibration module is used for determining a calibration method based on whether the deviation characteristic of the time synchronization degree deviation value meets the expected response relation of the fluid-thermosetting coupling physical model or not; the control module is used for determining the measurement unit for synchronous calibration based on the delay occurrence time sequence of the at least two measurement units with the delay in the data measurement module and the cross-correlation function; according to the invention, accurate test data is obtained by judging whether synchronous calibration is carried out on the test data or not.

Description

Technical Field

[0001] This invention relates to the field of nuclear reactor engineering technology, and in particular to an in-situ testing system and stress analysis method for the thermo-mechanical coupling characteristics of air valves in sodium-cooled fast reactors. Background Technology

[0002] In the thermal-hydraulic system of sodium-cooled fast reactors, the air valve, as a core component for fluid flow and pressure regulation, is widely used in the core auxiliary heat dissipation loop, containment ventilation system, and sodium pool covering gas circulation system. Its operational reliability is directly related to the reactor's operating efficiency and safety boundary. During the service of the air valve, the flow rate and pressure fluctuations of the high-temperature fluid form dynamic fluid loads, causing uneven local heat transfer on the valve body surface and generating temperature gradients, which in turn leads to non-uniform thermal expansion and thermal stress in the valve body. The deformation of the valve body will then react on the flow field, changing the flow channel shape and fluid distribution, forming a closed-loop coupling effect of flow-heat-solid. The strength of this coupling effect directly affects the sealing performance, regulation accuracy, and structural life of the air valve. Therefore, accurately obtaining the flow-heat-solid coupling characteristics of the air valve under in-situ operating conditions is a prerequisite for carrying out structural safety assessment and optimization design.

[0003] However, existing technologies still have the following problems:

[0004] The problems include: lack of time synchronization of multiple data, distortion of coupling characteristic analysis, lack of synchronization deviation tracing mechanism, blind and inefficient calibration operation, poor adaptability of calibration scheme and inability to match the requirements of in-situ environment. Summary of the Invention

[0005] To address these issues, this invention provides an in-situ testing system and stress analysis method for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve, which overcomes the problems in existing technologies such as lack of time synchronization of multi-field data, distortion of coupling characteristic analysis, lack of synchronization deviation tracing mechanism, blind and inefficient calibration operation, poor adaptability of calibration scheme, and inability to match the requirements of the in-situ environment.

[0006] To achieve the above objectives, this invention provides an in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve. It includes:

[0007] The data measurement module includes a fluid parameter measurement unit for measuring fluid velocity and pressure, a temperature measurement unit for measuring the temperature of the valve body and the surrounding fluid, and a deformation and stress measurement unit for measuring the deformation and stress of the valve body.

[0008] A data acquisition module, which is connected to the data measurement module, is used to acquire measurement data information and measurement data timestamp information of each data measurement unit of the data measurement module;

[0009] The data analysis module, which is connected to the data acquisition module, is used to calculate the time synchronization degree of the measurement data of each data measurement unit based on the timestamp deviation threshold of the data of each data measurement unit and the characteristic response time of the fluid-thermal-structure coupling effect, and to determine whether to perform data synchronization calibration based on the time synchronization degree.

[0010] A synchronization calibration module, which is connected to the data analysis module, is used to determine whether the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure coupling physical model to calibrate the data acquisition module or the data measurement module.

[0011] A control module, which is connected to the synchronization calibration module, is used to determine the measurement units for synchronization calibration based on the time sequence of delays of at least two measurement units in the data measurement module that have delays and the cross-correlation function.

[0012] The calibration execution module is connected to the data measurement module, the data acquisition module, and the control module, respectively, and is used to receive calibration instructions issued by the control module and execute corresponding calibration operations.

[0013] Furthermore, the data analysis module calculates the time synchronization of the measurement data of each data measurement unit based on the weighted average of the ratio of the timestamp deviation threshold of each data measurement unit's data to the preset timestamp deviation threshold and the ratio of the characteristic response time of the fluid-thermal-structure coupling effect to the preset characteristic response time.

[0014] Furthermore, the data analysis module determines whether to perform data synchronization calibration based on the comparison result between the time synchronization degree and the preset time synchronization degree.

[0015] If the time synchronization degree is greater than or equal to the preset time synchronization degree, the data analysis module determines to perform data synchronization calibration;

[0016] If the time synchronization degree is less than the preset time synchronization degree, the data analysis module determines that no data synchronization calibration is required.

[0017] Furthermore, the synchronization calibration module calibrates the data acquisition module or the data measurement module based on whether the deviation characteristics of the time synchronization deviation value satisfy the expected response relationship of the fluid-thermal-structure interaction physical model.

[0018] If the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure coupling physical model, the synchronization calibration module determines to calibrate the data acquisition module;

[0019] If the deviation characteristics of the time synchronization deviation value do not meet the expected response relationship of the fluid-thermal-structure coupling physical model, the synchronization calibration module determines to calibrate the data measurement module.

[0020] Furthermore, the synchronous calibration module determines the deviation characteristics of the time synchronization deviation value based on the occurrence time order of the change peak values ​​of flow velocity data, temperature data, and stress data in the measured data, which meet the preset occurrence time order and the variance of the timestamp deviation threshold of flow velocity, temperature, and stress in the measured data is less than the preset variance. This deviation characteristic satisfies the expected response relationship of the fluid-thermal-structure coupling physical model.

[0021] The preset time sequence of occurrence, from first to last, is flow velocity data, temperature data, and stress data.

[0022] Furthermore, the control module determines the measurement units for synchronous calibration based on the time sequence of delays of at least two measurement units exhibiting delays in the data measurement module and their cross-correlation function, wherein...

[0023] Extract the time series of delay occurrences for each measurement unit where delays occur, and determine the order in which the delays begin.

[0024] Calculate the cross-correlation function between any two delay measurement unit data to obtain the time offset corresponding to the maximum correlation coefficient;

[0025] If a certain measurement unit has the earliest delay start time, and the cross-correlation time offset of other delay measurement units all point to that measurement unit as a source of time reference deviation, then that measurement unit is determined to be the root source measurement unit that needs to be calibrated first.

[0026] If the cross-correlation function shows a significant linear correlation between the delays of multiple measurement units, then all associated measurement units are calibrated collaboratively.

[0027] Furthermore, the calibration execution module's calibration of the data acquisition module includes:

[0028] Send a global clock reset command to the data acquisition module to realign the clock reference of all sampling channels to a high-precision external time scale;

[0029] Adjust the sampling trigger pulse phase of the acquisition module to control the trigger delay error of each channel within 1 / 10 of the fluid-thermal-structure coupling characteristic response time;

[0030] The internal clock oscillator of the acquisition module is calibrated for temperature compensation, and clock drift caused by changes in ambient temperature is offset by a preset temperature-frequency correction curve.

[0031] Furthermore, the calibration execution module's calibration of the data measurement module includes:

[0032] For the fluid parameter measurement unit, a calibrated fluid field with known flow velocity and pressure is generated through a standard wind tunnel to correct the sensor's sensitivity coefficient and signal transmission delay;

[0033] For the temperature measurement unit, a constant temperature bath is used to provide a stepped standard temperature to calibrate the cold junction compensation coefficient and response time constant of the thermocouple;

[0034] For the deformation and stress measurement unit, a known strain value is applied using a standard strain calibrator to correct the temperature cross-sensitivity and zero-point drift of the strain gauge.

[0035] A stress analysis method applied to the in-situ testing system for the thermo-mechanical coupling characteristics of the air valve flow in the sodium-cooled fast reactor includes:

[0036] Step S1: Simultaneously measure the fluid velocity and pressure of the air valve, the temperature of the valve body and the surrounding fluid, as well as the deformation and stress of the valve body using the data measurement module.

[0037] Step S2: Use the data acquisition module to acquire the measurement data from S1 and record the timestamp information of each measurement data.

[0038] Step S3: The data analysis module calculates the time synchronization degree based on the timestamp deviation threshold of each measurement data and the characteristic response time of the fluid-thermal-structure coupling effect, and determines whether to perform data synchronization calibration based on the comparison result of the time synchronization degree with the preset time synchronization degree.

[0039] Step S4: If it is determined in S3 that data synchronization calibration is required, the synchronization calibration module uses the time synchronization deviation value to determine whether the deviation characteristics satisfy the expected response relationship of the fluid-thermal-solid coupling physical model to calibrate the data acquisition module or the data measurement module, and uses the control module to determine the measurement unit to be synchronized based on the delay occurrence time sequence and cross-correlation function of the measurement unit with delay.

[0040] Step S5: Perform calibration operation using the calibration execution module to calibrate the data acquisition module or data measurement unit and obtain synchronized measurement data;

[0041] Step S6, based on the synchronized measurement data, performs fluid-thermal-structure interaction stress analysis, including:

[0042] Step S61: Calculate the dynamic load of the fluid on the valve body based on the fluid velocity and pressure data;

[0043] Step S62: Analyze the thermal strain distribution of the valve body based on the temperature data;

[0044] Step S63: Integrate dynamic load and thermal strain, and apply the fluid-thermal-structure coupling constitutive equation to calculate the equivalent stress of the valve body;

[0045] Step S64: Compare the calculated equivalent stress with the measured stress data to verify the accuracy of the fluid-thermal-structure coupling model and output a stress analysis report.

[0046] Compared with existing technologies, the advantages of this invention are as follows: This invention calculates time synchronization through a data analysis module, comprehensively considering the dual impact of timestamp deviation threshold and characteristic response time, thus more fully reflecting the temporal consistency of measurement data and ensuring that the temporal correlation of key parameters such as flow rate, temperature, and stress conforms to physical laws. The synchronous calibration module, based on the comparison of deviation characteristics and the expected response relationship of the coupled physical model, can accurately determine the calibration object, avoiding system disturbances caused by blind calibration. The control module determines the calibration unit by the delay occurrence time sequence and cross-correlation function, further improving calibration efficiency.

[0047] Furthermore, the synchronous calibration module of this invention achieves precise differentiation of calibration objects based on the judgment logic of whether the deviation characteristics meet the expectations of the fluid-thermal-structure coupling physical model. When the deviation characteristics meet the expected response relationship, the data acquisition module is calibrated first; when the deviation characteristics violate the physical model, the data measurement module is calibrated in a targeted manner. Precise time synchronization and calibration enable the system to capture transient coupling processes, providing technical support for studying the dynamic characteristics of the valve under extreme conditions.

[0048] Furthermore, by extracting the time series of delay occurrences and determining the order of their starting times, this invention can trace the source of deviations from a temporal perspective. The measurement unit where the delay first occurs is more likely to be the initial cause of the synchronization deviation, providing a clear priority guide for calibration. Calculating the cross-correlation function between measurement unit data and extracting the time offset corresponding to the maximum correlation coefficient allows for verification of the deviation source from the perspective of data correlation. When the time offsets of multiple units all point to the same unit, that unit can be identified as the root measurement unit. When the cross-correlation function shows a significant linear correlation between the delays of multiple measurement units, it indicates that these units may be affected by the same systematic factor. In this case, a collaborative calibration strategy can be adopted to eliminate systematic deviations as a whole and avoid new imbalances caused by individual calibrations. The operating environment of the sodium-cooled fast reactor air valve is highly dynamic. The calibration strategy of the control module can track the delay occurrence order and changes in data correlation in real time, ensuring accurate identification of the calibration object even under dynamic operating conditions.

[0049] Furthermore, this invention eliminates the accumulated time deviation of each sampling channel from the system's bottom layer by sending a global clock reset command and aligning it to a high-precision external time scale, ensuring that all measurement data have a unified time reference and avoiding misjudgment of coupling relationships caused by inconsistent clock sources; it controls the trigger delay error of each channel to within 1 / 10 of the response time of the fluid-thermal-structure coupling characteristic, a stringent standard that fully considers the rapid dynamic characteristics of the coupling effect; high-precision phase control ensures the time synchronization of transient process measurements, enabling the accurate capture of key features such as the order of peak appearance; and it uses a preset temperature-frequency correction curve to offset the impact of ambient temperature changes on the internal clock oscillator. The system's long-term stability under the high-temperature environment of the sodium-cooled fast reactor is significantly improved. A calibration fluid field with known flow velocity and pressure is generated using a standard wind tunnel, simulating the actual fluid dynamics environment of the valve, making the correction of sensor sensitivity coefficients and transmission delays closer to real test conditions. A constant temperature bath provides a stepped standard temperature, specifically calibrating the cold junction compensation coefficient and response time constant of thermocouples, ensuring the dynamic accuracy of temperature measurements of the valve body and surrounding fluids, and providing reliable data for fluid-thermal coupling analysis. Known strain values ​​are applied using a standard strain calibrator, simultaneously correcting the temperature cross-sensitivity and zero-point drift of the strain gauges, ensuring the accuracy of structural mechanical parameter measurements. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of the in-situ testing system for the thermo-mechanical coupling characteristics of the sodium-cooled fast reactor air valve flow of the present invention;

[0051] Figure 2 This is a schematic diagram of the data measurement module in the in-situ testing system for the thermo-mechanical coupling characteristics of the sodium-cooled fast reactor air valve flow of the present invention;

[0052] Figure 3 This is a flowchart illustrating the stress analysis method of the present invention applied to the in-situ testing system for the thermo-mechanical coupling characteristics of air valve flow in a sodium-cooled fast reactor. Detailed Implementation

[0053] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0054] It should be noted that the data in this embodiment are all derived from a comprehensive analysis and evaluation of historical data from the six months prior to this determination and the corresponding historical determination results by the system described in this invention. Those skilled in the art will understand that the system described in this invention can determine the above-mentioned parameters for a single item by selecting the value with the highest proportion based on the data distribution as the preset standard parameter, using weighted summation to obtain the value as the preset standard parameter, substituting each historical data point into a specific formula and using the value obtained by that formula as the preset standard parameter, or other selection methods, as long as the system described in this invention can clearly define different specific situations in the single-item determination process through the obtained values.

[0055] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0056] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0057] Please see Figures 1-3 As shown, Figure 1 This is a schematic diagram of the in-situ testing system for the thermo-mechanical coupling characteristics of the sodium-cooled fast reactor air valve flow of the present invention; Figure 2 This is a schematic diagram of the data measurement module in the in-situ testing system for the thermo-mechanical coupling characteristics of the sodium-cooled fast reactor air valve flow of the present invention; Figure 3 This is a flowchart illustrating the stress analysis method of the present invention applied to the in-situ testing system for the thermo-mechanical coupling characteristics of air valve flow in a sodium-cooled fast reactor.

[0058] The present invention provides an in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve, comprising:

[0059] The data measurement module includes a fluid parameter measurement unit for measuring fluid velocity and pressure, a temperature measurement unit for measuring the temperature of the valve body and the surrounding fluid, and a deformation and stress measurement unit for measuring the deformation and stress of the valve body.

[0060] A data acquisition module, which is connected to the data measurement module, is used to acquire measurement data information and measurement data timestamp information of each data measurement unit of the data measurement module;

[0061] The data analysis module, which is connected to the data acquisition module, is used to calculate the time synchronization degree of the measurement data of each data measurement unit based on the timestamp deviation threshold of the data of each data measurement unit and the characteristic response time of the fluid-thermal-structure coupling effect, and to determine whether to perform data synchronization calibration based on the time synchronization degree.

[0062] A synchronization calibration module, which is connected to the data analysis module, is used to determine whether the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure coupling physical model to calibrate the data acquisition module or the data measurement module.

[0063] A control module, which is connected to the synchronization calibration module, is used to determine the measurement units for synchronization calibration based on the time sequence of delays of at least two measurement units in the data measurement module that have delays and the cross-correlation function.

[0064] The calibration execution module is connected to the data measurement module, the data acquisition module, and the control module, respectively, and is used to receive calibration instructions issued by the control module and execute corresponding calibration operations.

[0065] Specifically, there are no restrictions on the specific structure of the analyzer; it can be composed of logic components, including field-programmable processors, computers, and microprocessors within computers.

[0066] Specifically, the data analysis module calculates the time synchronization of the measurement data of each data measurement unit based on the weighted average of the ratio of the timestamp deviation threshold of each data measurement unit's data to the preset timestamp deviation threshold and the ratio of the characteristic response time of the fluid-thermal-structure coupling effect to the preset characteristic response time.

[0067] The preset timestamp deviation threshold mentioned in this embodiment of the invention can be determined by the following method: First, the inherent time delay characteristics of each data measurement unit and data acquisition module need to be quantified. For each measurement unit, a high-precision signal generator is used to input a standard synchronization signal, and the delay time from receiving the signal to outputting the timestamped measurement value is recorded. This test is repeated 50 times, and the average value and standard deviation are taken. All measurement units and data acquisition modules are connected according to the actual system. Each unit is started synchronously by a synchronization trigger signal, and the timestamp difference of the same physical event in the data of each unit is recorded. The maximum inherent time deviation is calculated. The inherent time deviation only represents the minimum deviation that the hardware can achieve. It is also necessary to determine the maximum acceptable time deviation based on the analysis requirements of the fluid-thermal-structure interaction effect. Using the fluid-thermal-structure interaction theoretical model of the sodium-cooled fast reactor air valve, the characteristic time scale of the key coupling effect under typical operating conditions is calculated, and the smallest characteristic time scale is selected. To avoid the influence of time deviation on the identification of coupling relationship, it is usually required that the preset timestamp deviation threshold does not exceed 1 / 5 to 1 / 10 of the smallest characteristic time scale. The preset timestamp deviation threshold must simultaneously meet the requirements of not exceeding 1.5 times the inherent maximum deviation of the hardware and not exceeding the analysis error tolerance. The smaller of the two values ​​is finally selected, but the above values ​​are not limited to these. Those skilled in the art can adjust them according to the actual situation.

[0068] The preset characteristic response time mentioned in this embodiment of the invention can be determined by the following method: A flow and heat transfer model of sodium fluid inside the valve is established using flow field simulation software; a thermo-structural coupling model of the valve body is established using structural mechanics software; and fluid-thermal-structure coupling simulation is achieved through data interaction. The model needs to accurately input key parameters such as the thermophysical properties of sodium, the coefficient of thermal expansion of the valve body material, and the elastic modulus. In the simulation, a typical disturbance condition is set: a 10% step change in the valve inlet flow rate; a 5°C step increase in sodium fluid temperature; and a rapid adjustment of the valve opening from 50% to 80%. The following key responses are recorded. Time curves: Fluid parameter response: the time it takes for the outlet velocity of the air valve to reach 90% of the new steady state; Temperature response: the time it takes for the highest temperature of the valve body wall to reach 90% of the new steady state; Structural response: the time it takes for the maximum deformation of the valve body to reach 90% of the new steady state; Initial preset value determination: the average value of the time under each disturbance condition is taken to obtain the characteristic response time under that condition; the main operating conditions of the air valve of the sodium-cooled fast reactor are traversed, and the median of the characteristic response time under all conditions is taken as the preset characteristic response time, but the above values ​​are not limited to these, and those skilled in the art can adjust them according to the actual situation.

[0069] Specifically, the data analysis module determines whether to perform data synchronization calibration based on the comparison result between the time synchronization degree and the preset time synchronization degree.

[0070] If the time synchronization degree is greater than or equal to the preset time synchronization degree, the data analysis module determines to perform data synchronization calibration;

[0071] If the time synchronization degree is less than the preset time synchronization degree, the data analysis module determines that no data synchronization calibration is required.

[0072] In this embodiment of the invention, the preset time synchronization degree is the time synchronization degree calculated by the timestamp deviation threshold of the data of each data measurement unit being equal to the preset timestamp deviation threshold and the characteristic response time of the fluid-thermal-solid coupling effect being equal to the preset characteristic response time. However, the above values ​​are not limited to these, and those skilled in the art can adjust them according to the actual situation.

[0073] This invention calculates time synchronization through a data analysis module, comprehensively considering the dual impact of timestamp deviation threshold and characteristic response time to more fully reflect the temporal consistency of measurement data, ensuring that the temporal correlation of key parameters such as flow rate, temperature, and stress conforms to physical laws. The synchronization calibration module, based on the comparison of deviation characteristics with the expected response relationship of the coupled physical model, can accurately identify the calibration target, avoiding system disturbances caused by blind calibration. The control module determines the calibration unit by the order of delay occurrence and cross-correlation function, further improving calibration efficiency.

[0074] Specifically, the synchronization calibration module calibrates the data acquisition module or the data measurement module based on whether the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure interaction physical model.

[0075] If the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure coupling physical model, the synchronization calibration module determines to calibrate the data acquisition module;

[0076] If the deviation characteristics of the time synchronization deviation value do not meet the expected response relationship of the fluid-thermal-structure coupling physical model, the synchronization calibration module determines to calibrate the data measurement module.

[0077] Specifically, the synchronous calibration module determines the deviation characteristics of the time synchronization deviation value based on the occurrence time order of the change peaks of flow velocity data, temperature data, and stress data in the measured data, which meet the preset occurrence time order, and the variance of the timestamp deviation threshold of flow velocity, temperature, and stress in the measured data is less than the preset variance. This deviation characteristic satisfies the expected response relationship of the fluid-thermal-structure coupling physical model.

[0078] The preset time sequence of occurrence, from first to last, is flow velocity data, temperature data, and stress data.

[0079] The preset variance in this embodiment of the invention can be determined by the following method: In an ideal laboratory environment, a high-precision synchronous signal source is used to simultaneously trigger each data measurement unit to perform a set of benchmark tests; multiple sets of timestamp deviation threshold data sequences of flow velocity, temperature, and stress are collected under this ideal synchronous state; the sample variance of the timestamp deviation threshold sequence of each set of data is calculated; the average value of all these sample variances is calculated as the preset variance, but the above value is not limited to this, and those skilled in the art can adjust it according to the actual situation.

[0080] The synchronous calibration module of this invention is based on the judgment logic of whether the deviation characteristics meet the expectations of the fluid-thermal-structure coupling physical model, which realizes the accurate differentiation of calibration objects. When the deviation characteristics meet the expected response relationship, the data acquisition module is calibrated first; when the deviation characteristics violate the physical model, the data measurement module is calibrated in a targeted manner. The precise time synchronization and calibration enable the system to capture the transient coupling process, providing technical support for studying the dynamic characteristics of the air valve under extreme conditions.

[0081] Specifically, the control module determines the measurement units for synchronous calibration based on the time sequence of delays in at least two measurement units exhibiting delays in the data measurement module and their cross-correlation function, wherein,

[0082] Extract the time series of delay occurrences for each measurement unit where delays occur, and determine the order in which the delays begin.

[0083] Calculate the cross-correlation function between any two delay measurement unit data to obtain the time offset corresponding to the maximum correlation coefficient;

[0084] If a certain measurement unit has the earliest delay start time, and the cross-correlation time offset of other delay measurement units all point to that measurement unit as a source of time reference deviation, then that measurement unit is determined to be the root source measurement unit that needs to be calibrated first.

[0085] If the cross-correlation function shows a significant linear correlation between the delays of multiple measurement units (cross-correlation coefficient greater than 0.8), then all associated measurement units are calibrated collaboratively.

[0086] This invention extracts the time series of delay occurrences and determines the order of their starting points, enabling the tracing of the source of deviations from a temporal perspective. The measurement unit where the delay first appears is more likely to be the initial cause of the synchronization deviation, providing a clear priority guide for calibration. Calculating the cross-correlation function between measurement unit data and extracting the time offset corresponding to the maximum correlation coefficient allows verification of the deviation source from a data correlation perspective. When the time offsets of multiple units all point to the same unit, that unit can be identified as the root measurement unit. When the cross-correlation function shows a significant linear correlation between the delays of multiple measurement units, it indicates that these units may be affected by the same systematic factor. In this case, a collaborative calibration strategy can eliminate systematic deviations as a whole and avoid new imbalances caused by individual calibrations. The operating environment of the sodium-cooled fast reactor air valve is highly dynamic. The calibration strategy of the control module can track the delay occurrence order and changes in data correlation in real time, ensuring accurate identification of the calibration object even under dynamic operating conditions.

[0087] Specifically, the calibration execution module calibrates the data acquisition module, including:

[0088] Send a global clock reset command to the data acquisition module to realign the clock reference of all sampling channels to a high-precision external time scale;

[0089] Adjust the sampling trigger pulse phase of the acquisition module to control the trigger delay error of each channel within 1 / 10 of the fluid-thermal-structure coupling characteristic response time;

[0090] The internal clock oscillator of the acquisition module is calibrated for temperature compensation, and clock drift caused by changes in ambient temperature is offset by a preset temperature-frequency correction curve.

[0091] Specifically, the calibration execution module's calibration of the data measurement module includes:

[0092] For the fluid parameter measurement unit, a calibrated fluid field with known flow velocity and pressure is generated through a standard wind tunnel to correct the sensor's sensitivity coefficient and signal transmission delay;

[0093] For the temperature measurement unit, a constant temperature bath is used to provide a stepped standard temperature to calibrate the cold junction compensation coefficient and response time constant of the thermocouple;

[0094] For the deformation and stress measurement unit, a known strain value is applied using a standard strain calibrator to correct the temperature cross-sensitivity and zero-point drift of the strain gauge.

[0095] This invention eliminates the accumulated time deviation of each sampling channel from the system's bottom layer by sending a global clock reset command and aligning it to a high-precision external time scale, ensuring that all measurement data have a unified time reference and avoiding misjudgments of coupling relationships caused by inconsistent clock sources. It controls the trigger delay error of each channel to within 1 / 10 of the response time of the fluid-thermal-structure coupling characteristic, a stringent standard that fully considers the rapid dynamic characteristics of the coupling effect. High-precision phase control ensures the time synchronization of transient process measurements, enabling accurate capture of key features such as the order of peak appearance. A preset temperature-frequency correction curve offsets the influence of ambient temperature changes on the internal clock oscillator. This significantly improves the long-term stability of the system in the high-temperature environment of the sodium-cooled fast reactor; by using a standard wind tunnel to generate a calibration fluid field with known flow velocity and pressure, the fluid dynamics environment of the actual operation of the valve can be simulated, making the correction of sensor sensitivity coefficient and transmission delay closer to the real test conditions; by using a constant temperature bath to provide a stepped standard temperature, the cold junction compensation coefficient and response time constant of the thermocouple are specifically calibrated to ensure the dynamic accuracy of temperature measurement of the valve body and surrounding fluid, providing reliable data for fluid-thermal coupling analysis; by applying known strain values ​​through a standard strain calibrator, the temperature cross sensitivity and zero-point drift of the strain gauge are simultaneously corrected to ensure the accuracy of the measurement of structural mechanical parameters.

[0096] Specifically, a stress analysis method applied to the in-situ testing system for the thermo-mechanical coupling characteristics of the air valve flow in the sodium-cooled fast reactor includes:

[0097] Step S1: Simultaneously measure the fluid velocity and pressure of the air valve, the temperature of the valve body and the surrounding fluid, as well as the deformation and stress of the valve body using the data measurement module.

[0098] Step S2: Use the data acquisition module to acquire the measurement data from S1 and record the timestamp information of each measurement data.

[0099] Step S3: The data analysis module calculates the time synchronization degree based on the timestamp deviation threshold of each measurement data and the characteristic response time of the fluid-thermal-structure coupling effect, and determines whether to perform data synchronization calibration based on the comparison result of the time synchronization degree with the preset time synchronization degree.

[0100] Step S4: If it is determined in S3 that data synchronization calibration is required, the synchronization calibration module uses the time synchronization deviation value to determine whether the deviation characteristics satisfy the expected response relationship of the fluid-thermal-solid coupling physical model to calibrate the data acquisition module or the data measurement module, and uses the control module to determine the measurement unit to be synchronized based on the delay occurrence time sequence and cross-correlation function of the measurement unit with delay.

[0101] Step S5: Perform calibration operation using the calibration execution module to calibrate the data acquisition module or data measurement unit and obtain synchronized measurement data;

[0102] Step S6, based on the synchronized measurement data, performs fluid-thermal-structure interaction stress analysis, including:

[0103] Step S61: Calculate the dynamic load of the fluid on the valve body based on the fluid velocity and pressure data;

[0104] Step S62: Analyze the thermal strain distribution of the valve body based on the temperature data;

[0105] Step S63: Integrate dynamic load and thermal strain, and apply the fluid-thermal-structure coupling constitutive equation to calculate the equivalent stress of the valve body;

[0106] Step S64: Compare the calculated equivalent stress with the measured stress data to verify the accuracy of the fluid-thermal-structure coupling model and output a stress analysis report.

[0107] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve, characterized in that, include: The data measurement module includes a fluid parameter measurement unit for measuring fluid velocity and pressure, a temperature measurement unit for measuring the temperature of the valve body and the surrounding fluid, and a deformation and stress measurement unit for measuring the deformation and stress of the valve body. A data acquisition module, which is connected to the data measurement module, is used to acquire measurement data information and measurement data timestamp information of each data measurement unit of the data measurement module; The data analysis module, which is connected to the data acquisition module, is used to calculate the time synchronization degree of the measurement data of each data measurement unit based on the timestamp deviation threshold of the data of each data measurement unit and the characteristic response time of the fluid-thermal-structure coupling effect, and to determine whether to perform data synchronization calibration based on the time synchronization degree. A synchronization calibration module, which is connected to the data analysis module, is used to determine whether the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure coupling physical model to calibrate the data acquisition module or the data measurement module. A control module, which is connected to the synchronization calibration module, is used to determine the measurement units for synchronization calibration based on the time sequence of delays of at least two measurement units in the data measurement module that have delays and the cross-correlation function. The calibration execution module is connected to the data measurement module, the data acquisition module, and the control module, respectively, and is used to receive calibration instructions issued by the control module and execute corresponding calibration operations.

2. The in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve according to claim 1, characterized in that, The data analysis module calculates the time synchronization of the measurement data of each data measurement unit based on the weighted average of the ratio of the timestamp deviation threshold of each data measurement unit's data to the preset timestamp deviation threshold and the ratio of the characteristic response time of the fluid-thermal-structure coupling effect to the preset characteristic response time.

3. The in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve according to claim 2, characterized in that, The data analysis module determines whether to perform data synchronization calibration based on the comparison result between the time synchronization degree and the preset time synchronization degree. If the time synchronization degree is greater than or equal to the preset time synchronization degree, the data analysis module determines to perform data synchronization calibration; If the time synchronization degree is less than the preset time synchronization degree, the data analysis module determines that no data synchronization calibration is required.

4. The in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve according to claim 3, characterized in that, The synchronization calibration module calibrates the data acquisition module or the data measurement module based on whether the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure interaction physical model. If the deviation characteristics of the time synchronization deviation value meet the expected response relationship of the fluid-thermal-structure coupling physical model, the synchronization calibration module determines to calibrate the data acquisition module; If the deviation characteristics of the time synchronization deviation value do not meet the expected response relationship of the fluid-thermal-structure coupling physical model, the synchronization calibration module determines to calibrate the data measurement module.

5. The in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve according to claim 4, characterized in that, The synchronous calibration module determines the deviation characteristics of the time synchronization deviation value based on the occurrence time order of the peak values ​​of flow velocity, temperature and stress data in the measured data, which meet the preset occurrence time order and the variance of the timestamp deviation threshold of flow velocity, temperature and stress in the measured data is less than the preset variance. This deviation characteristic satisfies the expected response relationship of the fluid-thermal-structure coupling physical model. The preset time sequence of occurrence, from first to last, is flow velocity data, temperature data, and stress data.

6. The in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve according to claim 5, characterized in that, The control module determines the measurement units for synchronous calibration based on the time sequence of delays in at least two measurement units exhibiting delays in the data measurement module and their cross-correlation function. Extract the time series of delay occurrences for each measurement unit where delays occur, and determine the order in which the delays begin. Calculate the cross-correlation function between any two delay measurement unit data to obtain the time offset corresponding to the maximum correlation coefficient; If a certain measurement unit has the earliest delay start time, and the cross-correlation time offset of other delay measurement units all point to that measurement unit as a source of time reference deviation, then that measurement unit is determined to be the root source measurement unit that needs to be calibrated first. If the cross-correlation function shows a significant linear correlation between the delays of multiple measurement units, then all associated measurement units are calibrated collaboratively.

7. The in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve according to claim 6, characterized in that, The calibration execution module calibrates the data acquisition module, including: Send a global clock reset command to the data acquisition module to realign the clock reference of all sampling channels to a high-precision external time scale; Adjust the sampling trigger pulse phase of the acquisition module to control the trigger delay error of each channel within 1 / 10 of the fluid-thermal-structure coupling characteristic response time; The internal clock oscillator of the acquisition module is calibrated for temperature compensation, and clock drift caused by changes in ambient temperature is offset by a preset temperature-frequency correction curve.

8. The in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor air valve according to claim 7, characterized in that, The calibration execution module calibrates the data measurement module, including: For the fluid parameter measurement unit, a calibrated fluid field with known flow velocity and pressure is generated through a standard wind tunnel to correct the sensor's sensitivity coefficient and signal transmission delay; For the temperature measurement unit, a constant temperature bath is used to provide a stepped standard temperature to calibrate the cold junction compensation coefficient and response time constant of the thermocouple; For the deformation and stress measurement unit, a known strain value is applied using a standard strain calibrator to correct the temperature cross-sensitivity and zero-point drift of the strain gauge.

9. A stress analysis method applied to the in-situ testing system for the thermo-mechanical coupling characteristics of a sodium-cooled fast reactor wind valve as described in any one of claims 1-8, characterized in that, Step S1: Simultaneously measure the fluid velocity and pressure of the air valve, the temperature of the valve body and the surrounding fluid, as well as the deformation and stress of the valve body using the data measurement module. Step S2: Use the data acquisition module to acquire the measurement data from S1 and record the timestamp information of each measurement data. Step S3: The data analysis module calculates the time synchronization degree based on the timestamp deviation threshold of each measurement data and the characteristic response time of the fluid-thermal-structure coupling effect, and determines whether to perform data synchronization calibration based on the comparison result of the time synchronization degree with the preset time synchronization degree. Step S4: If it is determined in S3 that data synchronization calibration is required, the synchronization calibration module uses the time synchronization deviation value to determine whether the deviation characteristics satisfy the expected response relationship of the fluid-thermal-solid coupling physical model to calibrate the data acquisition module or the data measurement module, and uses the control module to determine the measurement unit to be synchronized based on the delay occurrence time sequence and cross-correlation function of the measurement unit with delay. Step S5: Perform calibration operation using the calibration execution module to calibrate the data acquisition module or data measurement unit and obtain synchronized measurement data; Step S6, based on the synchronized measurement data, performs fluid-thermal-structure interaction stress analysis, including: Step S61: Calculate the dynamic load of the fluid on the valve body based on the fluid velocity and pressure data; Step S62: Analyze the thermal strain distribution of the valve body based on the temperature data; Step S63: Integrate dynamic load and thermal strain, and apply the fluid-thermal-structure coupling constitutive equation to calculate the equivalent stress of the valve body; Step S64: Compare the calculated equivalent stress with the measured stress data to verify the accuracy of the fluid-thermal-structure coupling model and output a stress analysis report.

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