CHF test data validity evaluation method and device and readable medium

Abstract

The invention provides a CHF test data validity evaluation method and device and a readable medium. The CHF test data validity evaluation method comprises the steps of obtaining CHF test data of multiple working conditions; performing test key parameter control stability analysis, test data repeatability analysis, test measurement CHF value change rule analysis along with key parameters, special phenomenon analysis and test heat loss analysis on the CHF test data, and evaluating data validity according to analysis results. According to the invention, the validity of test data is evaluated from five aspects of test key parameter control stability, test data repeatability, a change rule of a test measurement CHF value along with key parameters, a test special phenomenon and test heat loss, so that the rationality of CHF test data can be systematically evaluated in multiple aspects; the test data is reasonable and effective and can be used for subsequent calculation, analysis and research.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of nuclear reactors, and in particular to a CHF test data validity evaluation method, device and readable medium. Background Art

[0002] There are so many bubbles on the heating surface that they are connected together and cover part of the heating surface. Due to the low heat transfer coefficient of the air film, the temperature of the heating surface will rise quickly and burn the heating surface. This critical corresponding point is also called the critical heat flux (abbreviated as CHF). The critical heat flux is an important limiting thermal parameter related to reactor safety, and its size directly affects the safety and economy of the reactor.

[0003] Since the critical heat flux mechanism and its phenomena are too complex, at present, all CHF relations used for PWR nuclear power plant certification applications are still obtained from full-length fuel bundle CHF tests. After obtaining the test data, a reliability analysis of the test data should be carried out to evaluate the rationality of the test data. Only when the test data is reliable and available can the critical heat flux relation be further fitted. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a CHF test data validity evaluation method, device and readable medium to solve the current problem of lack of reasonable evaluation of CHF test data validity.

[0005] To solve the above technical problems, the present invention provides a CHF test data validity evaluation method, including: acquiring CHF test data of multiple working conditions; performing test key parameter control stability analysis, test data repeatability analysis, test measurement CHF value change law analysis with key parameters, special phenomenon analysis, and test heat loss analysis on the CHF test data, and evaluating the data validity according to the analysis results.

[0006] Optionally, performing a test key parameter control stability analysis on the CHF test data includes: obtaining a first test key parameter in the CHF test data; calculating a deviation between an actual value of the first test key parameter and a design value under a design condition; and determining whether the deviation is greater than a first threshold value, and if so, the CHF test data of the condition corresponding to the first test key parameter is invalid.

[0007] Optionally, the first test key parameters include outlet pressure, inlet coolant temperature, and inlet coolant flow rate.

[0008] Optionally, performing test data repeatability analysis on the CHF test data includes: obtaining CHF test data under the same operating conditions in the CHF test data; taking the first test data point under each same operating condition as a benchmark, comparing the deviation of the second test key parameter measured in the repeated operating condition point test; and determining whether the deviation of the second test key parameter is greater than a second threshold value, and if so, the CHF test data of the repeated operating condition is invalid.

[0009] Optionally, the second test key parameters include: CHF generation position, outlet pressure, inlet coolant temperature, inlet coolant flow rate and heating power.

[0010] Optionally, performing experimental measurement on the CHF test data to analyze the variation patterns of the CHF value with key parameters includes: analyzing the variation patterns of the experimentally measured CHF value with the inlet temperature of the test section under the conditions of certain outlet pressure and inlet mass flow rate; for the CHF test data of each operating condition, judging whether it satisfies the variation pattern, and if not, the CHF test data of the operating condition is invalid.

[0011] Optionally, performing special phenomenon analysis on the CHF test data includes: judging, for the CHF test data of each working condition, whether a cold rod critical phenomenon occurs, and if so, the CHF test data of the working condition is invalid; wherein, the cold rod critical phenomenon is that the CHF occurrence position is at a cold rod with low peripheral power.

[0012] Optionally, performing an experimental heat loss analysis on the CHF test data includes: for the CHF test data of each working condition, determining whether a test device for obtaining the CHF test data is installed with a voltage rod; if so, the CHF test data of the working condition is valid; if not, determining whether a report providing the CHF test data includes experimental heat loss; if so, the CHF test data of the working condition is valid; otherwise, the CHF test data of the working condition is invalid.

[0013] To solve the above technical problems, the present invention provides a CHF test data validity evaluation device, comprising: a memory for storing instructions executable by a processor; and a processor for executing the instructions to implement the above method.

[0014] In order to solve the above technical problem, the present invention provides a computer readable medium storing a computer program code, and the computer program code implements the above method when executed by a processor.

[0015] Compared with the prior art, the present invention has the following advantages:

[0016] The CHF test data validity evaluation method of the present invention can evaluate the validity of the test data from five aspects: the control stability of key test parameters, the repeatability of test data, the change law of the test measured CHF value with key parameters, special test phenomena and test heat loss. It can conduct a multi-faceted and systematic evaluation of the rationality of the CHF test data, ensure that the test data is reasonable and valid and can be used for subsequent calculation and analysis research. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are included to provide a further understanding of the present application. They are included and constitute a part of the present application. The accompanying drawings illustrate embodiments of the present application and together with the present specification serve to explain the principles of the present application. In the accompanying drawings:

[0018] Figure 1 4 is a flow chart of a CHF test data validity evaluation method according to an embodiment of the present invention.

[0019] Figure 2 is an outlet pressure deviation distribution diagram according to an embodiment of the present invention.

[0020] Figure 3 is a graph of inlet coolant temperature deviation distribution according to an embodiment of the present invention.

[0021] Figure 4 is a graph of inlet coolant flow deviation distribution according to an embodiment of the present invention.

[0022] Figure 5 1 is a schematic diagram of CHF value variation with temperature in an experimental measurement according to an embodiment of the present invention.

[0023] Figure 6 yes Figure 5 6MPa(a)-300kg / (m 2 ·s) Schematic diagram of the CHF value changing with the inlet temperature under working conditions.

[0024] Figure 7 4 is a system block diagram of a CHF test data validity evaluation device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0026] Figure 1FIG. 1 is a flow chart of a CHF test data validity evaluation method according to an embodiment of the present invention. Figure 1 As shown, the CHF test data validity assessment method 100 includes:

[0027] Step S1: Acquire CHF test data of multiple working conditions.

[0028] The CHF test data refers to data associated with the critical heat flux value (CHF value), including but not limited to outlet pressure, inlet coolant temperature, inlet coolant flow rate, inlet coolant saturation specific enthalpy, CHF generation position, and heating power.

[0029] As mentioned in the background technology, since the critical heat flux mechanism and its phenomenon are too complex, the CHF value cannot be directly measured. The CHF test data can only be obtained through the full-length fuel bundle CHF test, and the critical heat flux relationship is derived based on the CHF test data. Before the critical heat flux relationship is derived based on the CHF test data, it is necessary to verify the validity of the CHF test data, eliminate invalid CHF test data or correct the CHF test data.

[0030] In this embodiment, the CHF test data of 88 working conditions are taken as an example to measure the CHF test data under each working condition. For example, one of the working conditions is that the outlet pressure is 6MPa(a) and the inlet mass flow rate is 300kg / (m 2 ·s); the other working condition is that the outlet pressure is 9.5MPa(a) and the inlet mass flow rate is 300kg / (m 2 ·s); the other working condition is that the outlet pressure is 14.5MPa(a) and the inlet mass flow rate is 800kg / (m 2 ·s).

[0031] Step S2: Performing control stability analysis of key test parameters on CHF test data.

[0032] Optionally, performing a control stability analysis of key test parameters on CHF test data includes:

[0033] The first test key parameter in the CHF test data is obtained.

[0034] Calculate the deviation between the actual value of the key parameter of the first test and the design value under the design condition;

[0035] It is determined whether the deviation is greater than a first threshold value. If so, the CHF test data of the working condition corresponding to the first test key parameter is invalid.

[0036] Optionally, the first test key parameter includes outlet pressure, inlet coolant temperature, and inlet coolant flow rate.

[0037] For the outlet pressure of each working condition, calculate the deviation between the actual value of the outlet pressure and the design value of the outlet pressure, and determine whether the deviation is within the range of -0.2MPa(a) to 0.2MPa(a). If not, the outlet pressure of this working condition does not meet the stability requirements, and the CHF test data of this working condition is invalid. Figure 2 is a distribution diagram of outlet pressure deviation according to an embodiment of the present invention. Figure 2 As shown in the figure, each test point represents the deviation of the outlet pressure of a working condition. Overall, the pressure control stability is good, and the parameter deviation range of about 97% of the working condition points is within -0.2MPa(a) to 0.2MPa(a). For the 14.5MPa(a) working condition, the pressure deviation of one test point reaches 0.487MPa(a). The outlet pressure of this test point does not meet the stability requirements, and the CHF test data of this working condition is invalid.

[0038] For the inlet coolant temperature of each operating condition, calculate the deviation between the actual value of the inlet coolant temperature and the design value of the inlet coolant temperature, and determine whether the deviation is between -3°C and 3°C. If not, the inlet coolant temperature of the operating condition does not meet the stability requirements, and the CHF test data of the operating condition is invalid. Figure 3 is a graph showing the inlet coolant temperature deviation distribution according to an embodiment of the present invention. Figure 3 As shown in the figure, according to the analysis results, the absolute deviation between the inlet temperature value directly measured by the test thermocouple and the inlet temperature design value is distributed between -1.24℃ and 0.7℃, which meets the control requirements (±3℃).

[0039] For the inlet coolant flow rate (also called "inlet mass flow rate") of each operating condition, calculate the deviation between the actual value of the inlet coolant flow rate and the design value of the inlet coolant flow rate, and determine whether the deviation is within the range of -5% to 5%. If not, the inlet coolant flow rate of the operating condition does not meet the stability requirements, and the CHF test data of the operating condition is invalid. Figure 4 is a graph showing the inlet coolant flow deviation distribution according to an embodiment of the present invention. Figure 4 As shown, the inlet mass flow rate control stability is good, and the inlet mass flow rate deviations of all test points are within -5% to 5%, among which the 200kg / (m2·s) mass flow rate condition deviation is within ±1.0%, and the deviations of other mass flow rate conditions are within ±0.5%.

[0040] Step S3: Perform test data repeatability analysis on the CHF test data.

[0041] Optionally, performing test data repeatability analysis on CHF test data includes:

[0042] Obtain CHF test data under the same working conditions in the CHF test data;

[0043] Taking the first test data point under each identical operating condition as the benchmark, compare the deviation of the second test key parameter measured by the repeated operating condition point test;

[0044] It is determined whether the deviation of the second test key parameter is greater than a second threshold value. If so, the CHF test data of the repeated working condition is invalid.

[0045] Optionally, the second test key parameters include but are not limited to CHF generation position, outlet pressure, inlet coolant temperature, inlet coolant flow rate and heating power.

[0046] Taking the CHF occurrence position as an example, the CHF occurrence position of the first test data point of each repeated test condition is taken as the reference position, and the deviation between the CHF occurrence position of the repeated condition and the reference position is compared. When the position deviation is greater than the second threshold, the CHF test data of the repeated condition is invalid.

[0047] Step S4: Perform test measurement on CHF test data to analyze the variation of CHF value with key parameters.

[0048] Optionally, performing test measurement on CHF test data to analyze the variation of CHF values ​​with key parameters includes:

[0049] Analyze the variation of CHF value with the inlet temperature of the test section under the conditions of constant outlet pressure and inlet mass flow rate;

[0050] For the CHF test data of each working condition, determine whether it satisfies the variation law. If not, the CHF test data of the working condition is invalid.

[0051] Figure 5 FIG. 1 is a schematic diagram of CHF value variation with temperature according to an experimental measurement of an embodiment of the present invention. Figure 5 As shown in the results, it can be seen that except for the 6MPa(a) and 300kg / (m2·s) working conditions, under the conditions of constant outlet pressure and inlet mass flow rate, the experimental measured CHF value is negatively linearly correlated with the inlet temperature of the test section, which is in line with expectations. Figure 6 As shown in the figure, the CHF value measured in the test first decreases and then increases with the increase of temperature, which does not conform to the law of change. The CHF test data of 6MPa(a) and 300kg / (m2·s) working conditions are invalid.

[0052] Step S5: Perform special phenomenon analysis on the CHF test data.

[0053] Optionally, performing special phenomenon analysis on the CHF test data includes: judging whether the cold rod critical phenomenon occurs in the CHF test data of each working condition, and if so, the CHF test data of the working condition is invalid; wherein the cold rod critical phenomenon is that the CHF occurrence position is at a cold rod with low peripheral power.

[0054] Example: 25 electric heating rods are installed in the test piece, 16 electric heating rods in the outer circle are low-power cold rods, and 9 electric heating rods in the center are high-power hot rods. Among the 88 test data points of the working conditions obtained, 4 data points have the cold rod critical phenomenon, that is, the radial position of the CHF occurrence position is in the outer low-power cold rod. In objective cognition, the temperature in the center must be higher than the temperature in the periphery. The cold rod critical phenomenon is inconsistent with objective cognition. Therefore, the CHF test data of the working conditions corresponding to the 4 data points are invalid.

[0055] Step S6: Performing experimental heat loss analysis on the CHF test data.

[0056] Optionally, performing an experimental heat loss analysis on the CHF test data includes: for the CHF test data of each operating condition, determining whether a test device for obtaining the CHF test data is installed with a voltage rod; if so, the CHF test data of the operating condition is valid; if not, determining whether a report providing the CHF test data includes experimental heat loss; if so, the CHF test data of the operating condition is valid; otherwise, the CHF test data of the operating condition is invalid.

[0057] Example: The current test rod bundle is not equipped with a voltage rod, and all 25 rods are heating rods equipped with thermocouples. The 88 test data points currently obtained have been used by the test party to correct the critical power and inlet temperature using parameters such as resistance, pressure and flow, taking into account the test heat loss. Therefore, the CHF test data is valid. Optionally, further consideration can be given to using a voltage rod to measure and evaluate heat loss, thereby further verifying the accuracy of the theoretical analysis of power correction and ensuring the validity of the CHF test data.

[0058] Step S7: Evaluate data validity based on the analysis results.

[0059] The CHF test data validity evaluation method of the present invention can evaluate the validity of the test data from five aspects: the control stability of key test parameters, the repeatability of test data, the change law of the test measured CHF value with key parameters, special test phenomena and test heat loss. It can conduct a multi-faceted and systematic evaluation of the rationality of the CHF test data, ensure that the test data is reasonable and valid and can be used for subsequent calculation and analysis research.

[0060] In the CHF test data validity evaluation method 100, the order of the CHF test data validity evaluation steps is the control stability of the key parameters of the test, the repeatability of the test data, the variation law of the CHF value measured in the test with the key parameters, the special phenomena of the test, and the heat loss of the test. In fact, the evaluation order of these five parts can be adjusted without affecting the results.

[0061] The present application also includes a CHF test data validity evaluation device, including a memory and a processor, wherein the memory is used to store instructions executable by the processor; the processor is used to execute the instructions to implement the CHF test data validity evaluation method mentioned above.

[0062] Figure 7 : is a system block diagram of a CHF test data validity evaluation device according to an embodiment of the present application. Figure 7 As shown, the CHF test data validity evaluation device 700 may include an internal communication bus 701, a processor 702, a read-only memory (ROM) 703, a random access memory (RAM) 704, and a communication port 705. When applied on a personal computer, the CHF test data validity evaluation device 700 may also include a hard disk 706. The internal communication bus 701 can realize data communication between the components of the CHF test data validity evaluation device 700. The processor 702 can make judgments and issue prompts. In some embodiments, the processor 702 can be composed of one or more processors. The communication port 705 can realize data communication between the CHF test data validity evaluation device 700 and the outside. In some embodiments, the CHF test data validity evaluation device 700 can send and receive information and data from the network through the communication port 705. The CHF test data validity evaluation device 700 may also include different forms of program storage units and data storage units, such as a hard disk 706, a read-only memory (ROM) 703 and a random access memory (RAM) 704, which can store various data files used for computer processing and / or communication, and possible program instructions executed by the processor 702. The processor executes these instructions to implement the main part of the method. The results processed by the processor are transmitted to the user device through the communication port and displayed on the user interface.

[0063] The above-mentioned operation method can be implemented as a computer program, stored in the hard disk 706, and loaded into the processor 702 for execution to implement the semantic analysis method of the present application.

[0064] The present application also includes a computer-readable medium storing a computer program code, which, when executed by a processor, implements the CHF test data validity evaluation method described above.

[0065] When the CHF test data validity evaluation method is implemented as a computer program, it can also be stored in a computer-readable storage medium as a product. For example, a computer-readable storage medium may include, but is not limited to, a magnetic storage device (e.g., a hard disk, a floppy disk, a magnetic strip), an optical disk (e.g., a compact disk (CD), a digital versatile disk (DVD)), a smart card, and a flash memory device (e.g., an electrically erasable programmable read-only memory (EPROM), a card, a stick, a key drive). In addition, the various storage media described herein can represent one or more devices and / or other machine-readable media for storing information. The term "machine-readable medium" may include, but is not limited to, wireless channels and various other media (and / or storage media) that can store, contain and / or carry code and / or instructions and / or data.

[0066] It should be understood that the embodiments described above are only illustrative. The embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For hardware implementation, the processor may be implemented in one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, and / or other electronic units designed to perform the functions described herein, or a combination thereof.

[0067] Some aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". The processor may be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. In addition, various aspects of the present application may be expressed as computer products located in one or more computer-readable media, which include computer-readable program codes. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, tapes ...), optical disks (e.g., compact disks CDs, digital versatile disks DVDs ...), smart cards, and flash memory devices (e.g., cards, sticks, key drives ...).

[0068] A computer-readable medium may include a propagated data signal containing computer program code, such as in baseband or as part of a carrier wave. The propagated signal may have a variety of manifestations, including electromagnetic, optical, etc., or a suitable combination. A computer-readable medium may be any computer-readable medium other than a computer-readable storage medium, which may be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit a program for use. The program code on the computer-readable medium may be propagated via any suitable medium, including radio, cable, fiber optic cable, radio frequency signal, or similar medium, or any combination of the above mediums.

[0069] Flowcharts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps may be processed in reverse order or simultaneously. At the same time, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0070] As shown in this application, unless the context clearly indicates an exception, the words "a", "an", "a kind" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0071] Unless otherwise specifically stated, the relative arrangement, numerical expressions and numerical values ​​of the parts and steps set forth in these embodiments do not limit the scope of the application. Meanwhile, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to actual proportional relationships. The technology, methods and equipment known to those of ordinary skill in the relevant art may not be discussed in detail, but in appropriate cases, the technology, methods and equipment should be considered as a part of the specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, and therefore, once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

[0072] In addition, it should be noted that the use of words such as "first" and "second" to define components is only for the convenience of distinguishing the corresponding components. If not otherwise stated, the above words have no special meaning and cannot be understood as limiting the scope of protection of this application. In addition, although the terms used in this application are selected from well-known and commonly used terms, some terms mentioned in the specification of this application may be selected by the applicant at his or her discretion, and their detailed meanings are explained in the relevant parts of the description of this article. In addition, it is required to understand this application not only by the actual terms used, but also by the meaning implied by each term.

[0073] The basic concepts have been described above. Obviously, for those skilled in the art, the above invention disclosure is only used as an example and does not constitute a limitation of the present application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and amendments to the present application. Such modifications, improvements and amendments are suggested in the present application, so such modifications, improvements and amendments still belong to the spirit and scope of the exemplary embodiments of the present application.

[0074] At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, some features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.

[0075] Some aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". The processor may be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. In addition, various aspects of the present application may be expressed as computer products located in one or more computer-readable media, which include computer-readable program codes. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, tapes ...), optical disks (e.g., compact disks CDs, digital versatile disks DVDs ...), smart cards, and flash memory devices (e.g., cards, sticks, key drives ...).

[0076] A computer-readable medium may include a propagated data signal containing computer program code, such as in baseband or as part of a carrier wave. The propagated signal may have a variety of manifestations, including electromagnetic, optical, etc., or a suitable combination. A computer-readable medium may be any computer-readable medium other than a computer-readable storage medium, which may be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit a program for use. The program code on the computer-readable medium may be propagated via any suitable medium, including radio, cable, fiber optic cable, radio frequency signal, or similar medium, or any combination of the above mediums.

[0077] Similarly, it should be noted that in order to simplify the description of the disclosure of this application and thus help understand one or more embodiments of the invention, in the above description of the embodiments of the present application, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the subject of the present application requires more features than the features mentioned. In fact, the features of the embodiment are less than all the features of the single embodiment disclosed above.

[0078] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of the present application are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0079] Although the present application has been described with reference to the current specific embodiments, ordinary technicians in this technical field should recognize that the above embodiments are only used to illustrate the present application, and various equivalent changes or substitutions may be made without departing from the spirit of the present application. Therefore, as long as the changes and modifications to the above embodiments are within the essential spirit of the present application, they will fall within the scope of the present application.

Claims

1. A CHF test data validity evaluation method, characterized in that: include: Obtain CHF test data of multiple working conditions; The CHF test data were subjected to control stability analysis of key test parameters, repeatability analysis of test data, analysis of the variation patterns of test measured CHF values ​​with key parameters, analysis of special phenomena, and test heat loss analysis, and the data validity was evaluated based on the analysis results.

2. The CHF test data validity evaluation method according to claim 1, characterized in that: The key parameter control stability analysis of the CHF test data includes: Acquire a first test key parameter in the CHF test data; Calculate the deviation between the actual value of the first test key parameter and the design value under the design condition; It is determined whether the deviation is greater than a first threshold value. If so, the CHF test data of the working condition corresponding to the first test key parameter is invalid.

3. The CHF test data validity evaluation method according to claim 2, characterized in that: The first test key parameters include outlet pressure, inlet coolant temperature, and inlet coolant flow rate.

4. The CHF test data validity evaluation method according to claim 1, characterized in that: Performing test data repeatability analysis on the CHF test data includes: Acquire CHF test data under the same working conditions in the CHF test data; Taking the first test data point under each identical operating condition as the benchmark, compare the deviation of the second test key parameter measured by the repeated operating condition point test; It is determined whether the deviation of the second test key parameter is greater than a second threshold value. If so, the CHF test data of the repeated working condition is invalid.

5. The CHF test data validity evaluation method according to claim 4, characterized in that: The key parameters of the second test include: CHF generation position, outlet pressure, inlet coolant temperature, inlet coolant flow rate and heating power.

6. The CHF test data validity evaluation method according to claim 1, characterized in that: The CHF test data is tested to measure the CHF value and analyze the variation of the key parameters, including: Analyze the variation of CHF value with the inlet temperature of the test section under the condition that the outlet pressure and inlet mass flow rate are preset values; For the CHF test data of each working condition, it is determined whether it satisfies the variation rule. If not, the CHF test data of the working condition is invalid.

7. The CHF test data validity evaluation method according to claim 1, characterized in that: The special phenomenon analysis of the CHF test data includes: For the CHF test data of each working condition, determine whether the cold rod critical phenomenon occurs. If it occurs, the CHF test data of the working condition is invalid; Among them, the cold rod critical phenomenon is that the CHF occurs at a cold rod with low peripheral power.

8. The CHF test data validity evaluation method according to claim 1, characterized in that: The experimental heat loss analysis of the CHF test data includes: For the CHF test data of each working condition, determine whether the test device for obtaining the CHF test data is installed with a voltage rod. If so, the CHF test data of the working condition is valid. If not, determine whether the report providing the CHF test data contains test heat loss. If so, the CHF test data of the working condition is valid. Otherwise, the CHF test data of the working condition is invalid.

9. A CHF test data validity evaluation device, characterized in that: include: a memory for storing instructions executable by a processor; A processor, configured to execute the instructions to implement the method according to any one of claims 1 to 8.

10. A computer readable medium storing computer program code, characterized in that: The computer program code implements the method according to any one of claims 1 to 8 when executed by a processor.

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