WO2024016621A1 - 反应堆试验模型的规模确定方法、装置和计算机设备 - Google Patents

反应堆试验模型的规模确定方法、装置和计算机设备 Download PDF

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WO2024016621A1
WO2024016621A1 PCT/CN2023/073956 CN2023073956W WO2024016621A1 WO 2024016621 A1 WO2024016621 A1 WO 2024016621A1 CN 2023073956 W CN2023073956 W CN 2023073956W WO 2024016621 A1 WO2024016621 A1 WO 2024016621A1
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target
test model
ratio
modeling
constructed
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PCT/CN2023/073956
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English (en)
French (fr)
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李亮国
南宗宝
余健明
孟祥飞
刘继墉
卢冬华
邢军
苏前华
吴小航
董献宏
郝陈玉
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中广核研究院有限公司
中广核工程有限公司
中国广核集团有限公司
中国广核电力股份有限公司
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Publication of WO2024016621A1 publication Critical patent/WO2024016621A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]

Definitions

  • This application relates to the field of reactor thermal hydraulic testing, and in particular to a scale determination method, device, computer equipment, storage medium and computer program product for a reactor test model.
  • an overall effect test model is usually constructed to carry out corresponding experimental research work. Due to the large power, flow scale, and geometric size of the reactor prototype, it is generally difficult to build an overall effect test model with the same scale as the reactor prototype. Therefore, the parameters of the reactor overall effect test model are usually obtained based on a certain modeling reduction method. In the previous design of the reactor overall effect test model, there was no clear method for selecting the test model parameters. The selection was mainly based on experience, which led to large errors in subsequent experimental studies using the test model.
  • a method, device, computer equipment, storage medium and computer program product for sizing a reactor test model are provided.
  • this application provides a method for determining the size of a reactor test model, which is executed by computer equipment.
  • the method includes:
  • test model to be built corresponding to the target reactor, and the power ratio and volume ratio between the test model to be built and the target reactor;
  • the overall scale parameters of the test model to be constructed are determined.
  • obtaining the test demand analysis results corresponding to the target reactor under test conditions includes:
  • initial design parameters of the target reactor where the initial design parameters include at least one of the process flow, process parameters or structural parameters of the target reactor;
  • obtaining the power ratio and volume ratio of the test model to be constructed and the target reactor includes:
  • the ratio of the expected power value and the actual operating power value obtain the power ratio of the test model to be constructed and the target reactor;
  • the volume ratio is determined.
  • multiple sets of modeling proportion combinations corresponding to the test model to be constructed are determined.
  • multiple height ratios and multiple height ratios between the test model to be constructed and the target reactor are determined according to the modeling analysis method corresponding to the demand analysis result.
  • each group of modeling proportion combinations is separately subjected to feasibility analysis processing, and a target modeling proportion combination is selected based on the processing results, including:
  • the initial scale comparison result is that the modeling proportion combination corresponding to the initial scale parameter that satisfies the preset initial scale parameter condition is used as the target modeling proportion combination.
  • the preset initial scale parameter condition is based on the to-be-constructed The processing feasibility, spatial layout, and measuring instrument layout of the test model are set.
  • the overall scale of the test model to be constructed is determined based on the power ratio, the volume ratio and the target modeling proportion combination.
  • the target modeling proportion combination is adjusted.
  • determining the overall scale parameters of the test model to be constructed based on the combination of the power ratio, the volume ratio and the target modeling ratio includes:
  • the candidate scale parameters corresponding to the phenomenon simulation results that are consistent with the preset phenomenon results are used as the overall scale parameters of the test model to be constructed.
  • this application also provides a scale determination device for a reactor test model, which device includes:
  • the first data acquisition module is used to determine the target reactor and obtain the test demand analysis results corresponding to the target reactor under test conditions;
  • a second data processing acquisition module is used to acquire the test model to be constructed corresponding to the target reactor, and the power ratio and volume ratio between the test model to be constructed and the target reactor;
  • a first analysis module configured to determine multiple sets of modular proportion combinations corresponding to the test model to be constructed based on the power ratio, the volume ratio, and the modeling analysis method corresponding to the test demand analysis result;
  • the second analysis module is used to perform feasibility analysis and processing on each set of modeling proportion combinations, and select the target modeling proportion combination based on the processing results;
  • a parameter determination module configured to determine the overall scale parameters of the test model to be constructed based on the combination of the power ratio, the volume ratio and the target modeling ratio.
  • the first data acquisition module is also used to acquire the initial design parameters of the target reactor.
  • the initial design parameters include at least one of the process flow, process parameters or structural parameters of the target reactor.
  • the first data acquisition module is further configured to obtain the expected power value of the test model to be constructed; obtain the actual operating power value of the target reactor; and according to the expected power value and The ratio of the actual operating power value is used to obtain the power ratio of the test model to be constructed and the target reactor; and based on the power ratio, the volume ratio is determined.
  • the first analysis module is also used to determine, when the power ratio and the volume ratio remain unchanged, according to the modeling analysis method corresponding to the demand analysis result, determine the relationship with the to-be- Construct multiple sets of modular proportion combinations corresponding to the test model.
  • the first analysis module is used to determine the to-be-built structure according to the modeling analysis method corresponding to the demand analysis result when the power ratio and the volume ratio remain unchanged.
  • the second analysis module is also used to obtain the corresponding initial scale parameters for each set of modular proportion combinations; compare each of the initial scale parameters with the preset initial scale parameter conditions. , obtain the initial scale comparison result; and use the initial scale comparison result as the modeling proportion combination corresponding to the initial scale parameter that satisfies the preset initial scale parameter condition as the target modeling proportion combination, and the preset initial scale Parameter conditions are set based on the processing feasibility, spatial layout, and measuring instrument layout of the test model to be constructed.
  • the device further includes: an optimization module;
  • the optimization module is used to determine the target scale parameters of the test model to be constructed based on the actual scale parameters of the target reactor and the target modeling proportion combination; and based on the preset scale parameter standard values, determine the target scale parameters The modeling proportion combination is adjusted.
  • the parameter determination module is further configured to determine candidate scale parameters of the test model to be constructed based on the power ratio, the volume ratio and the target modeling ratio combination; based on the Candidate scale parameters, analyze the key physical phenomena of the target reactor, and obtain the phenomenon simulation results; under the condition that the phenomenon simulation results are inconsistent with the preset phenomenon results, after adjusting the power ratio and volume ratio, return to obtain the desired The steps of constructing the power ratio and volume ratio of the test model and the target reactor until the phenomenon simulation results are consistent with the preset phenomenon results; and using the candidate scale parameters corresponding to the phenomenon simulation results that are consistent with the preset phenomenon results as The overall scale parameters of the test model to be constructed.
  • this application also provides a computer device.
  • the computer device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps of the method for determining the scale of the reactor test model are implemented.
  • this application also provides a computer-readable storage medium.
  • the computer-readable storage medium has a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for determining the scale of the reactor test model are implemented.
  • this application also provides a computer program product.
  • the computer program product includes a computer program that, when executed by a processor, implements the steps of the method for determining the size of the reactor test model.
  • Figure 1 is a schematic flowchart of a method for sizing a reactor test model according to some embodiments
  • Figure 2 is a schematic flowchart of a method for sizing a reactor test model according to some embodiments
  • Figure 3 is a schematic flowchart of a method for sizing a reactor test model according to some embodiments
  • Figure 4 is a structural block diagram of a sizing device for a reactor test model according to some embodiments
  • Figure 5 is an internal block diagram of a computer device according to some embodiments.
  • the method for determining the scale of the reactor test model can be applied to computer equipment or servers.
  • the application to computer equipment is used as an example.
  • the computer equipment determines the target reactor and obtains the test conditions of the target reactor.
  • the corresponding test demand analysis results are obtained; the test model to be built corresponding to the target reactor is obtained, as well as the power ratio and volume ratio between the test model to be built and the target reactor; based on the power ratio, volume ratio and the test demand analysis results corresponding to Modeling analysis method, determining and waiting Construct multiple sets of modeling proportion combinations corresponding to the test model; perform feasibility analysis and processing on each set of modeling proportion combinations, and select the target modeling proportion combination based on the processing results; based on the power ratio, volume ratio and target modeling proportion combination to determine the overall scale parameters of the test model to be constructed.
  • computer equipment can be, but is not limited to, various personal computers, laptops, smartphones, tablets, Internet of Things devices and portable wearable devices.
  • Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart vehicle equipment, etc.
  • Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc.
  • the server can be implemented as an independent server or a server cluster composed of multiple servers.
  • a method for determining the size of a reactor test model is provided.
  • the method is explained by taking the method applied to computer equipment (the computer equipment may specifically be a terminal or a server) as an example, including following steps:
  • Step S202 Determine the target reactor and obtain the test demand analysis results corresponding to the target reactor under test conditions.
  • the reactor can refer to a nuclear reactor, and a nuclear reactor refers to a device that can realize the utilization of nuclear energy.
  • the types of reactors are also different.
  • the reactor can include water-cooled reactors (pressurized water reactors, boiling water reactors, heavy water reactors) , gas-cooled reactor (helium, carbon dioxide, etc.), liquid metal-cooled reactor (sodium, lead-bismuth alloy, etc.).
  • the target reactor is any type of reactor selected by the computer equipment according to the actual needs of the user.
  • test conditions refer to one of the working conditions of the target reactor under a specific test content.
  • the corresponding test conditions can also be different.
  • the same test content can also be subdivided into multiple For example, if the test content is a full-site power outage accident, the test condition can be a full-site power outage condition when the reactor is at full power, or it can be a long-term power outage condition that occurs when the reactor is shut down.
  • the test analysis results refer to the results obtained after the computer equipment performs characteristic analysis on the parameters related to the target reactor (such as the structural parameters of the target reactor, the process flow of the target reactor, etc.) under test conditions.
  • Step S204 Obtain the test model to be built corresponding to the target reactor, and the power ratio and volume ratio between the test model to be built and the target reactor.
  • the test model to be constructed refers to the overall effect test model corresponding to the target reactor to be constructed by the computer equipment for the determined target reactor. After the computer equipment determines the overall scale parameters of the test model to be constructed, it can be based on the overall scale parameters. , the experimental model is constructed, and finally through the experimental model, corresponding experimental research work can be carried out.
  • the power ratio between the test model to be built and the target reactor refers to the ratio between the power of the test model to be built and the power of the target reactor
  • the volume ratio refers to the volume of the test model to be built and the volume of the target reactor. ratio.
  • obtaining the power ratio and volume ratio of the test model to be constructed and the target reactor includes: obtaining the expected power value of the test model to be constructed; obtaining the actual operating power value of the target reactor; based on the expected power value and the The ratio of the actual operating power value is used to obtain the power ratio of the test model to be constructed and the target reactor; based on the power ratio, the volume ratio is determined.
  • the expected power value can refer to the set power to be achieved by the test model to be built.
  • the expected power value can be adjusted adaptively according to the determined type of target reactor, the test conditions of the target reactor, etc., or it can also refer to the already established test model.
  • the power supply scale of the same type of test model is determined.
  • the actual operating power value of the target reactor can refer to the maximum output power that the target reactor can achieve.
  • the computer equipment can obtain the expected power value and the actual operating power value. According to the expected power value and The actual operating power value determines the power ratio between the test model to be constructed and the target reactor.
  • the computer equipment After the computer equipment determines the power ratio, it can determine the volume ratio based on the corresponding relationship between the power ratio and the volume ratio. Specifically, the computer equipment can combine the H2TS (hierarchical bidirectional proportional modeling) analysis method to obtain the power ratio and volume. The corresponding relationship between the ratios, thus determining the volume ratio between the test model to be constructed and the target reactor. Since the actual conditions of the target reactor are combined when determining the power ratio and volume ratio, the final test can be ensured. The model can meet the experimental needs and is feasible.
  • H2TS hierarchical bidirectional proportional modeling
  • Step S206 Based on the power ratio, volume ratio and the modeling analysis method corresponding to the test demand analysis results, multiple sets of modeling proportion combinations corresponding to the test model to be constructed are determined.
  • modeling analysis refers to the proportional analysis of the model to be built and the target reactor by computer equipment.
  • the modeling analysis method is selected based on the test demand analysis results.
  • the modeling analysis method can include H2TS modeling method and power volume modeling method.
  • the power volume method is suitable for physical processes with rapid transient changes in the research object;
  • H2TS is a modeling method developed to use complex multi-phase flow systems, and is suitable for modeling analysis of complex physical phenomena, especially natural circulation processes. Therefore , if the analysis process required by the obtained test demand analysis results is relatively simple, you can choose the power volume modeling method. If the analysis process required by the obtained test demand analysis results is relatively complex, you can choose the H2TS analysis method.
  • the modeling proportion combination is determined by the power ratio, volume ratio and modeling analysis method.
  • Each modeling proportion combination can include the modeling ratio of multiple parameters between the test model to be built and the target reactor. Specifically , as shown in Table 1, are the multiple sets of modular proportion combinations corresponding to the test model to be constructed:
  • the modeling ratio combinations include combination 1, combination 2, combination 3, combination 4 and combination 5.
  • the modeling ratio in each group includes power ratio, volume ratio, height ratio, area ratio and Diameter ratio.
  • the modeling ratio can include but is not limited to the ones mentioned in Table 1, such as the flow ratio, etc.
  • Step S208 Perform feasibility analysis processing on each set of modeling proportion combinations, and select a target modeling proportion combination based on the processing results.
  • the feasibility analysis process refers to the computer equipment analyzing whether the initial scale parameters corresponding to each modeling ratio in each group of modeling ratio combinations meet the design requirements of the test model to be built, thereby ensuring that the test model to be built is feasible. property, through feasibility analysis and processing, the processing results are obtained, and the target modeling proportion combination is selected based on the processing results.
  • Step S210 Determine the overall scale parameters of the test model to be constructed based on a combination of power ratio, volume ratio and target modeling ratio.
  • the overall scale parameters can include parameters such as power, flow rate, and geometric size of the test model to be built.
  • the computer equipment After the computer equipment determines the power ratio, volume ratio, and target modeling proportion combination, the computer equipment can determine the overall scale parameters of the test model to be built. .
  • the feasibility analysis and processing of the determined multiple sets of modeling proportion combinations are carried out, which can improve the feasibility of the overall scale parameters of the test model to be constructed.
  • the test to be constructed is determined The overall scale parameters of the model ensure the standardization and reliability of the overall scale parameters of the test model to be constructed.
  • obtaining the test demand analysis results corresponding to the target reactor under test conditions includes: obtaining the initial design parameters of the target reactor.
  • the initial design parameters include at least one of the process flow, process parameters or structural parameters of the target reactor.
  • a method obtaining the parameter change characteristics of the initial design parameters of the target reactor under the test working conditions; and obtaining the corresponding test demand analysis results of the target reactor under the test working conditions based on the parameter changing characteristics.
  • the initial design parameters refer to the prototype design parameters of the target reactor, such as the process flow, process parameters or structural parameters, etc.
  • the process flow can refer to the working principles of each subsystem of the target reactor, the flow direction of the working medium, and various accidents.
  • the process parameters can refer to the temperature, pressure, power, flow and other parameters of the target reactor.
  • the structural parameters can refer to the relevant equipment of the target reactor and the length, height, area, and standard of the pipeline. Advanced parameters.
  • the computer equipment can determine the test requirements by analyzing the parameter change characteristics of the initial design parameters under different test conditions. Analysis results, from which the test demand analysis results can be obtained by analyzing the physical process of the prototype design parameters of the target reactor, ensuring that when determining the subsequent modeling analysis method, the actual parameter changes of the target reactor can be determined. , which can improve the standardization of determining the modeling analysis method.
  • the initial design parameter is the temperature in the process parameters
  • the computer equipment can analyze the temperature change characteristics under test conditions. Specifically, under the condition of a full-site power outage accident, one of the target reactor prototypes If the average temperature of a loop system first increases and then decreases with time, the test demand analysis result can be that the average temperature of one of the loop systems of the target reactor prototype changes with time under the conditions of a full-site power outage accident. Increase and then decrease.
  • multiple sets of modular proportion combinations corresponding to the test model to be constructed are determined based on the power ratio, volume ratio and the modeling analysis method corresponding to the test demand analysis results, including:
  • the power ratio and volume ratio can be set unchanged, and combined with the modular analysis method, the multi-group modularization ratio combination as shown in Table 1 above is determined, as shown in Table 1 It can be seen that the power ratio and volume ratio in each group of modular proportional combinations always remain unchanged, while the area ratio, height ratio and diameter ratio of each group will change accordingly. Therefore, by determining the multiple assemble the modular proportion combination, conduct comparative analysis later, and finally obtain a feasible modular proportion.
  • multiple sets of modular proportion combinations corresponding to the test model to be constructed are determined according to the modeling analysis method corresponding to the demand analysis results, including:
  • multiple height ratios, multiple length ratios, and multiple diameter ratios between the test model to be built and the target reactor are determined according to the modeling analysis method corresponding to the demand analysis results.
  • multiple area ratios; based on the power ratio, volume ratio, and each height ratio, diameter ratio, and area ratio, multiple sets of modular proportion combinations corresponding to the test model to be constructed are determined.
  • the height ratio, area ratio and diameter ratio may refer to the modeling ratio between the height of the test model to be built and the height of the target reactor, or may refer to the height of the equipment in the test model to be built and the height of the corresponding equipment in the target reactor.
  • the height ratio can also refer to the height ratio of the pipe in the test model to be built to the height of the corresponding pipe in the target reactor, that is, the scale parameters of the test model itself, and the equipment and pipelines involved in the test model to be built.
  • the scale parameters can be determined by combining the modeling analysis method in this application by keeping the power ratio and volume ratio unchanged.
  • the computer equipment can determine multiple height ratios and multiple length ratios between the test model to be built and the target reactor according to the modeling analysis method corresponding to the demand analysis results. , multiple diameter ratios, multiple area ratios and multiple flow ratios.
  • the height ratio can be 1:1.0 and the area ratio can be 1:150.0
  • the diameter ratio can be 1:10.0
  • the flow ratio can be 1:20.0.
  • the height ratio can be 1:2.0 and the area ratio can be 1 :75.0, the diameter ratio can be 1:7.1, and the flow ratio can be 1:25.0, which can increase the diversity of data, thereby selecting the optimal modeling proportion combination, and effectively improving the accuracy of the subsequently determined test model to be constructed. Accuracy of overall scale parameters.
  • feasibility analysis is performed on each set of modeling proportion combinations, and a target modeling proportion combination is selected based on the processing results, including:
  • the initial scale comparison result is the modeling proportion combination corresponding to the initial scale parameter that meets the preset initial scale parameter conditions as the target modeling proportion combination.
  • the preset initial scale parameter condition is based on the processing feasibility and space of the test model to be constructed.
  • the layout and measuring instrument layout are set.
  • the initial scale parameters refer to parameters calculated based on the modeling ratio in the modeling proportion combination. For each modeling ratio in the modeling proportion combination, the corresponding parameters can be calculated. For example, if the modeling proportion combination , the area ratio is 1:75.0, then the computer equipment can combine the actual area of the target reactor to obtain the model area of the test model to be constructed, then the model area can be the initial scale parameter, and the preset initial scale parameter condition refers to the set user Conditions for judging whether the initial scale parameters can meet the construction requirements of the model to be built.
  • the preset initial scale parameter conditions are set based on the processing feasibility, spatial layout, and measuring instrument layout of the test model to be built. Specifically, if the length ratio is the length of the pipeline in the test model to be built and the pipeline of the target reactor The length of the molding ratio is calculated based on the molding ratio to calculate the length of the pipeline in the test model to be constructed.
  • the length ratio is the length of the pipeline in the test model to be built and the pipeline of the target reactor
  • the length of the molding ratio is calculated based on the molding ratio to calculate the length of the pipeline in the test model to be constructed.
  • the computer device can obtain the length of the pipeline to be constructed according to the length ratio, on which a Venturi flowmeter needs to be arranged for flow measurement, the length of the Venturi flowmeter itself and the required length of the front and rear straight pipe sections.
  • the ratio you need to consider the layout requirements of the Venturi flowmeter (measuring instrument).
  • the flange itself has a certain size. Therefore, when determining the initial scale parameter conditions, you need to consider whether the selected length ratio and diameter ratio can ensure space. Equipment and flanges can be arranged.
  • the steps include:
  • the target modeling proportion combination is adjusted.
  • the actual scale parameters refer to the scale parameters of the target reactor itself, such as the actual area, actual volume, etc. of the target reactor.
  • the target scale parameters refer to the test device to be constructed calculated from the modeling ratio in the target modeling proportion combination.
  • the preset scale parameter standard value refers to the scale parameter standard value set for the target scale parameter corresponding to each modeling ratio. When setting the preset scale parameter standard value, it can be set in combination with standard industrial scale parameters. Certainly.
  • the modeling ratio in the target modeling ratio combination can be locally optimized. Specifically, the actual scale parameters of the target reactor can be obtained, and then combined with the modeling ratio in the modeling ratio combination ratio, the target scale parameters are determined correspondingly, and the target scale parameters are compared with the corresponding preset scale parameters, so as to adjust the target modeling proportion combination. For example, based on the diameter ratio of 1/7.0 and the actual pipe inner diameter of the target reactor of 141mm, the inner diameter of the pipe to be constructed for the experimental model is 20.14mm. According to the preset scale parameter adjustment value (such as the set 20mm), the diameter can be adjusted The ratio is fine-tuned to 1/7.1.
  • this embodiment involves an optional process of determining the overall scale parameters of the test model to be constructed based on a combination of power ratio, volume ratio and target modeling ratio. Includes the following steps:
  • Step S202 Determine candidate scale parameters of the test model to be constructed based on a combination of power ratio, volume ratio and target modeling ratio.
  • the candidate scale parameter refers to a combination of power ratio, volume ratio and target modeling ratio.
  • the computer equipment can determine the power of the test model to be built based on the power ratio, and can determine the power of the test model to be built based on the volume ratio.
  • the volume of the test model, and according to each modeling ratio in the target modeling ratio combination, such as area ratio, flow ratio, etc., the area, flow rate, etc. of the test model to be constructed can be determined.
  • Step S204 Analyze key physical phenomena of the target reactor based on the candidate scale parameters, and obtain phenomenon simulation results.
  • key physical phenomena refer to physical phenomena that have a high degree of impact on the parameters of the target reactor (such as the lowest water level in the core under breach accident). Then the computer equipment can simulate the key physical phenomena based on the candidate scale parameters and obtain the phenomenon simulation. result.
  • Step S206 if the phenomenon simulation result is inconsistent with the preset phenomenon result, after adjusting the power ratio and volume ratio, return to the step of obtaining the power ratio and volume ratio of the test model to be constructed and the target reactor until the phenomenon simulation result is consistent with the preset phenomenon result. consistent.
  • the preset phenomenon results are set based on the characteristics of the key physical phenomena when they actually occur. If the computer equipment determines that the phenomenon simulation results are inconsistent with the preset phenomenon results, it means that there is a deviation in the currently determined candidate scale parameters, then After adjusting the power ratio and volume ratio, you can then return to the step of obtaining the power ratio and volume ratio of the test model to be built and the target reactor. From this, you can determine the new candidate scale parameters, and then perform key physics based on the new candidate scale parameters. Phenomenon analysis until the phenomenon simulation results are consistent with the preset phenomenon results.
  • Step S208 Use the candidate scale parameters corresponding to the phenomenon simulation results that are consistent with the preset phenomenon results as the overall scale parameters of the test model to be constructed.
  • the computer equipment can use the candidate scale parameters as the overall scale parameters of the test model to be built.
  • FIG. 3 it is a schematic flow chart of a method for determining the size of a reactor test model in a specific embodiment:
  • the research object needs to be determined first, that is, the target reactor is determined, and then the test requirements of the target reactor are determined.
  • the computer equipment can determine the changing characteristics of the prototype parameters of the target reactor under study under different test conditions. Conduct analysis, such as conducting research on a new test device for a full-site power outage accident of a pressurized water reactor, so as to obtain the power and power of the target reactor under full-site power outage accident conditions.
  • the changing characteristics of flow, pressure, temperature and other parameters such as reactor prototype power, flow and other parameters and their changing rules under full-site power outage accident conditions.
  • the test demand analysis result may be that it is necessary to simulate the full-site power outage accident condition.
  • the modeling method corresponding to the demand analysis results can be selected for subsequent modeling analysis, such as selecting two-way multi-level proportional analysis (H2TS) method for modeling analysis;
  • the computer equipment can determine the basic modeling ratio of the test model to be built.
  • the basic modeling ratio can be the power ratio and volume ratio of the test model to be built. It can be referred to when initially determining the power ratio of the test model to be built.
  • the computer equipment can set the power ratio and volume ratio to be constant. Combined with the modeling analysis method, multiple sets of modeling proportion combinations can be obtained. The power ratio and volume ratio in each set of modeling proportion combinations are always the same. remain unchanged, while the area ratio, height ratio and diameter ratio of each group will change accordingly. Therefore, by determining multiple groups of modeling proportion combinations, subsequent comparative analysis will be carried out, and a feasible model will finally be obtained. ratio group. Specifically, requirements such as processing feasibility, space layout, and measurement instrument layout need to be considered when conducting comparative analysis.
  • the computer equipment performs local optimization on the determined target modeling proportion group to obtain the height ratio, length ratio, diameter ratio, volume ratio, power ratio and other modeling proportions of the test model to be constructed, such as fine-tuning the diameter ratio, etc. , so that the diameter of the molded pipe conforms to standard industrial pipe specifications.
  • the computer equipment obtains the relevant parameters of the test model to be constructed, such as power, flow rate, geometric size, etc., based on the determined modeling ratio and reactor prototype parameters;
  • the computer equipment simulates key physical phenomena based on the relevant parameters of the test model to be constructed, obtains the simulation results, and analyzes the simulation results. If the simulation results of the key physical phenomena are consistent with the actual results of the key physical phenomena, the analysis of the simulation results of the key physical phenomena ends and the scale determination process is completed; if the simulation results of the key physical phenomena are inconsistent with the actual results of the key physical phenomena, adjust the basic modeling After scaling, the relevant parameters of the test model to be constructed are re-determined until the simulation results of the key physical phenomena are consistent with the actual results of the key physical phenomena. Analysis of key physical phenomena can be carried out through theoretical analysis, numerical calculations, pre-experiments, etc.;
  • embodiments of the present application also provide a reactor test model scale determination device for implementing the above-mentioned reactor test model scale determination method.
  • the solution to the problem provided by this device is similar to the solution recorded in the above method. Therefore, the specific limitations in the embodiments of the device for determining the size of one or more reactor test models provided below can be found in the above article on the reactor test. The limitations of the method for determining the size of the model will not be described again here.
  • a scale determination device for a reactor test model including: a first data acquisition module 402, a second data processing acquisition module 404, a first analysis module 406, a second analysis module module 408 and parameter determination module 410, where:
  • the first data acquisition module 402 is used to determine the target reactor and obtain the test demand analysis results corresponding to the target reactor under test conditions.
  • the second data processing acquisition module 404 is used to acquire the test model to be built corresponding to the target reactor, and the power ratio and volume ratio between the test model to be built and the target reactor.
  • the first analysis module 406 is used to determine multiple sets of modular proportion combinations corresponding to the test model to be constructed based on the power ratio, volume ratio and the modeling analysis method corresponding to the test demand analysis results.
  • the second analysis module 408 is used to perform feasibility analysis processing on each set of modeling proportion combinations, and select a target modeling proportion combination based on the processing results.
  • the parameter determination module 410 is used to determine the overall scale parameters of the test model to be constructed based on a combination of power ratio, volume ratio and target modeling ratio.
  • the above-mentioned first data acquisition module is also used to obtain the initial design parameters of the target reactor.
  • the initial design parameters include at least one of the process flow, process parameters or structural parameters of the target reactor; obtain the target reactor in Under the test conditions, the parameter change characteristics of the initial design parameters are obtained; based on the parameter change characteristics, the corresponding test demand analysis results of the target reactor under the test conditions are obtained.
  • the above-mentioned first data acquisition module is also used to obtain the expected power value of the test model to be constructed; obtain the actual operating power value of the target reactor; and obtain the expected power value according to the ratio of the expected power value and the actual operating power value. Construct a power ratio between the test model and the target reactor; based on the power ratio, determine the volume ratio.
  • the above-mentioned first analysis module is also used to determine multiple sets of modeling corresponding to the test model to be constructed according to the modeling analysis method corresponding to the demand analysis result when the power ratio and volume ratio remain unchanged. Proportional combination.
  • the first analysis module is also used to determine the multiple differences between the test model to be built and the target reactor according to the modeling analysis method corresponding to the demand analysis results while the power ratio and volume ratio remain unchanged.
  • Various height ratios, various length ratios, various diameter ratios, and various area ratios; based on the power ratio, volume ratio, and various height ratios, diameter ratios, and area ratios, multiple sets of modular proportion combinations corresponding to the test model to be constructed are determined .
  • the above-mentioned second analysis module is also used to obtain the corresponding initial scale parameters for each set of modular proportion combinations; compare each initial scale parameter with the preset initial scale parameter conditions to obtain the initial scale parameters.
  • Scale comparison result; the initial scale comparison result is the modeling proportion combination corresponding to the initial scale parameter that satisfies the preset initial scale parameter conditions, as the target modeling proportion combination, and the preset initial scale parameter condition is based on the processing of the test model to be constructed. Feasibility, space layout, and measurement instrument layout are set.
  • the device further includes: an optimization module;
  • the above-mentioned optimization module is used to determine the target scale parameters of the test model to be constructed based on the actual scale parameters of the target reactor and the target modeling proportion combination; and adjust the target modeling proportion combination based on the preset scale parameter standard values.
  • the above-mentioned parameter determination module is also used to determine the candidate scale parameters of the test model to be constructed based on the combination of power ratio, volume ratio and target modeling ratio; based on the candidate scale parameters, perform key physical phenomena of the target reactor Analyze and obtain the phenomenon simulation results; if the phenomenon simulation results are inconsistent with the preset phenomenon results, after adjusting the power ratio and volume ratio, return to the step of obtaining the power ratio and volume ratio of the test model to be constructed and the target reactor until the phenomenon simulation results are consistent with the The preset phenomenon results are consistent; the candidate scale parameters corresponding to the phenomenon simulation results that are consistent with the preset phenomenon results are used as the overall scale parameters of the test model to be constructed.
  • Each module in the scale determination device of the above-mentioned reactor test model can be realized in whole or in part by software, hardware and combinations thereof.
  • Each of the above modules may be embedded in or independent of the processor of the computer device in the form of hardware, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
  • a computer device is provided.
  • the computer device may be a terminal, and its internal structure diagram may be as shown in Figure 5 .
  • the computer device includes a processor, memory, communication interface, display screen and input device connected through a system bus.
  • the processor of the computer device is used to provide computing and control capabilities.
  • the memory of the computer device includes non-volatile storage media and internal memory.
  • the non-volatile storage medium stores operating systems and computer programs. This internal memory provides an environment for the execution of operating systems and computer programs in non-volatile storage media.
  • the communication interface of the computer device is used for wired or wireless communication with external terminals.
  • the wireless mode can be implemented through WIFI, mobile cellular network, NFC (Near Field Communication) or other technologies.
  • the computer program when executed by a processor, implements a method for sizing a reactor test model.
  • the display screen of the computer device may be a liquid crystal display or an electronic ink display.
  • the input device of the computer device may be a touch layer covered on the display screen, or may be a button, trackball or touch pad provided on the computer device shell. , it can also be an external keyboard, trackpad or mouse, etc.
  • FIG. 5 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied.
  • Specific computer equipment can May include more or fewer parts than shown, or combine certain parts, or have a different arrangement of parts.
  • a computer device including a memory and a processor.
  • a computer program is stored in the memory.
  • the processor executes the computer program, the steps of determining the scale of the reactor test model are implemented.
  • a computer-readable storage medium is provided, with a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above method for sizing a reactor test model are implemented.
  • a computer program product including a computer program that implements the steps of the above method for sizing a reactor test model when executed by a processor.
  • the user information including but not limited to user equipment information, user personal information, etc.
  • data including but not limited to data used for analysis, stored data, displayed data, etc.
  • the computer program can be stored in a non-volatile computer-readable storage.
  • the computer program when executed, may include the processes of the above method embodiments.
  • Any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory.
  • Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetic variable memory (Magnetoresistive Random Access Memory (MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc.
  • Volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory, etc.
  • RAM Random Access Memory
  • RAM random access memory
  • RAM Random Access Memory
  • the databases involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database.
  • Non-relational databases may include blockchain-based distributed databases, etc., but are not limited thereto.
  • the processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to this.

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Abstract

一种反应堆试验模型的规模确定方法、装置、计算机设备、存储介质和计算机程序产品。包括：确定目标反应堆，以及获取目标反应堆在试验工况下对应的试验需求分析结果(S102)；获取与目标反应堆对应的待构建试验模型、以及待构建试验模型与目标反应堆之间的功率比和体积比(S104)；基于功率比、体积比以及与试验需求分析结果对应的模化分析方式，确定与待构建试验模型对应的多组模化比例组合(S106)；对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合(S108)；根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的总体规模参数(S110)。

Description

反应堆试验模型的规模确定方法、装置和计算机设备
本申请要求于2022年07月22日提交中国专利局，申请号为2022108660165、发明名称为“反应堆试验模型的规模确定方法、装置和计算机设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及反应堆热工水力试验领域，特别是涉及一种反应堆试验模型的规模确定方法、装置、计算机设备、存储介质和计算机程序产品。
背景技术
随着反应堆热工水力试验领域的发展，在反应堆研发、安全审评、优化改进等过程中需开展一系列的试验研究工作。
传统技术中，为获取反应堆原型特别是事故下的整体响应特性，通常建设整体效应试验模型以开展相应的试验研究工作。由于反应堆原型的功率、流量规模、几何尺寸较大，一般难以建设与反应堆原型规模相同的整体效应试验模型，因此通常基于一定的模化缩比方法获取反应堆整体效应试验模型的参数。在以往的反应堆整体效应试验模型设计中，对于试验模型参数的选取上没有明确的方法，主要是依据经验进行选取，导致后续在采用试验模型进行试验研究时，误差较大。
发明内容
根据本申请的各种实施例，提供了一种反应堆试验模型的规模确定方法、装置、计算机设备、存储介质和计算机程序产品。
第一方面，本申请提供了一种反应堆试验模型的规模确定方法，由计算机设备执行，所述方法包括：
确定目标反应堆，以及获取所述目标反应堆在试验工况下对应的试验需求分析结果；
获取与所述目标反应堆对应的待构建试验模型、以及所述待构建试验模型与所述目标反应堆之间的功率比和体积比；
基于所述功率比、所述体积比以及与所述试验需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合；
对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合；及
根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数。
在其中一些实施例中，所述获取所述目标反应堆在试验工况下对应的试验需求分析结果，包括：
获取所述目标反应堆的初始设计参数，所述初始设计参数包括所述目标反应堆的工艺流程、工艺参数或结构参数中的至少一种；
获取所述目标反应堆在所述试验工况下，所述初始设计参数的参数变化特性；及
基于所述参数变化特性，获取所述目标反应堆在试验工况下对应的试验需求分析结果。
在其中一些实施例中，所述获取待构建试验模型与所述目标反应堆的功率比和体积比，包括：
获取所述待构建试验模型的期望功率值；
获取所述目标反应堆的实际运行功率值；
根据所述期望功率值和所述实际运行功率值的比值，获取待构建试验模型与所述目标反应堆的功率比；及
基于所述功率比，确定所述体积比。
在其中一些实施例中，所述基于所述功率比、所述体积比以及与所述试验需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合，包括：
确定在所述功率比和所述体积比不变时，按照所述需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合。
在其中一些实施例中，所述确定在所述功率比和所述体积比不变时，按照所述需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合，包括：
在所述功率比和所述体积比不变的情况下，按照所述需求分析结果对应的模化分析方式，确定所述待构建试验模型与所述目标反应堆之间的多种高度比、多种长度比、多种直径比、多种面积比；及
基于所述功率比、所述体积比以及各所述高度比、直径比、面积比，确定与所述待构建试验模型对应的多组模化比例组合。
在其中一些实施例中，所述对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合，包括：
分别针对每一组模化比例组合，获得对应的初始规模参数；
将各所述初始规模参数与预设初始规模参数条件进行比较，获得初始规模比较结果；及
将所述初始规模比较结果为，满足所述预设初始规模参数条件的初始规模参数对应的模化比例组合，作为目标模化比例组合，所述预设初始规模参数条件是根据所述待构建试验模型的加工可行性、空间布置、测量仪表布置进行设定的。
在其中一些实施例中，所述基于处理结果选取出目标模化比例组合之后，根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数之前，包括：
基于所述目标反应堆的实际规模参数以及所述目标模化比例组合，确定所述待构建试验模型的目标规模参数；及
基于预设规模参数标准值，对所述目标模化比例组合进行调整。
在其中一些实施例中，所述根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数，包括：
根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的候选规模参数；
基于所述候选规模参数，进行所述目标反应堆的关键物理现象分析，获得现象模拟结果；
在所述现象模拟结果与预设现象结果不一致的条件下，调整所述功率比和体积比之后，再返回获取待构建试验模型与所述目标反应堆的功率比和体积比的步骤，直至所述现象模拟结果与预设现象结果一致；及
将与预设现象结果一致的现象模拟结果所对应的候选规模参数，作为所述待构建试验模型的总体规模参数。
第二方面，本申请还提供了一种反应堆试验模型的规模确定装置，所述装置包括：
第一数据获取模块，用于确定目标反应堆，以及获取所述目标反应堆在试验工况下对应的试验需求分析结果；
第二数据处理获取模块，用于获取与所述目标反应堆对应的待构建试验模型、以及所述待构建试验模型与所述目标反应堆之间的功率比和体积比；
第一分析模块，用于基于所述功率比、所述体积比以及与所述试验需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合；
第二分析模块，用于对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合；及
参数确定模块，用于根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数。
在其中一些实施例中，所述第一数据获取模块，还用于获取所述目标反应堆的初始设计参数，所述初始设计参数包括所述目标反应堆的工艺流程、工艺参数或结构参数中的至少一种；获取所述目标反应堆在所述试验工况下，所述初始设计参数的参数变化特性；及基于所述参数变化特性，获取所述目标反应堆在试验工况下对应的试验需求分析结果。
在其中一些实施例中，所述第一数据获取模块，还用于所述获取所述待构建试验模型的期望功率值；获取所述目标反应堆的实际运行功率值；根据所述期望功率值和所述实际运行功率值的比值，获取待构建试验模型与所述目标反应堆的功率比；及基于所述功率比，确定所述体积比。
在其中一些实施例中，所述第一分析模块，还用于确定在所述功率比和所述体积比不变时，按照所述需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合。
在其中一些实施例中，所述第一分析模块，用于在所述功率比和所述体积比不变的情况下，按照所述需求分析结果对应的模化分析方式，确定所述待构建试验模型与所述目标反应堆之间的多种高度比、多种长度比、多种直径比、多种面积比；及基于所述功率比、所述体积比以及各所述高度比、直径比、面积比，确定与所述待构建试验模型对应的多组模化比例组合。
在其中一些实施例中，所述第二分析模块，还用于分别针对每一组模化比例组合，获得对应的初始规模参数；将各所述初始规模参数与预设初始规模参数条件进行比较，获得初始规模比较结果；及将所述初始规模比较结果为，满足所述预设初始规模参数条件的初始规模参数对应的模化比例组合，作为目标模化比例组合，所述预设初始规模参数条件是根据所述待构建试验模型的加工可行性、空间布置、测量仪表布置进行设定的。
在其中一些实施例中，所述装置还包括：优化模块；
所述优化模块，用于基于所述目标反应堆的实际规模参数以及所述目标模化比例组合，确定所述待构建试验模型的目标规模参数；及基于预设规模参数标准值，对所述目标模化比例组合进行调整。
在其中一些实施例中，所述参数确定模块，还用于根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的候选规模参数；基于所述候选规模参数，进行所述目标反应堆的关键物理现象分析，获得现象模拟结果；在所述现象模拟结果与预设现象结果不一致的条件下，调整所述功率比和体积比之后，再返回获取待构建试验模型与所述目标反应堆的功率比和体积比的步骤，直至所述现象模拟结果与预设现象结果一致；及将与预设现象结果一致的现象模拟结果所对应的候选规模参数，作为所述待构建试验模型的总体规模参数。
第三方面，本申请还提供了一种计算机设备。所述计算机设备包括存储器和处理器，所述存储器存储有计算机程序，所述处理器执行所述计算机程序时实现上述反应堆试验模型的规模确定方法的步骤。
第四方面，本申请还提供了一种计算机可读存储介质。所述计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现上述反应堆试验模型的规模确定方法的步骤。
第五方面，本申请还提供了一种计算机程序产品。所述计算机程序产品，包括计算机程序，该计算机程序被处理器执行时实现上述反应堆试验模型的规模确定方法的步骤。
本申请的一个或多个实施例的细节在下面的附图和描述中提出。本申请的其它特征、目的和优点将从说明书、附图以及权利要求书变得明显。
附图说明
为了更好地描述和说明这里公开的那些实施例和/或示例，可以参考一幅或多幅附图。用于描述附图的附加细节或示例不应当被认为是对所公开的申请、目前描述的实施例和/或示例以及目前理解的这些发明的最佳模式中的任何一者的范围的限制。
图1为根据一些实施例的反应堆试验模型的规模确定方法的流程示意图；
图2为根据一些实施例的反应堆试验模型的规模确定方法的流程示意图；
图3为根据一些实施例的反应堆试验模型的规模确定方法的流程示意图；
图4为根据一些实施例的反应堆试验模型的规模确定装置的结构框图；
图5为根据一些实施例的计算机设备的内部结构图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
本申请实施例提供的反应堆试验模型的规模的确定方法，可以应用于计算机设备或服务器，具体的，以应用于计算机设备为例进行说明，计算机设备确定目标反应堆，以及获取目标反应堆在试验工况下对应的试验需求分析结果；获取与目标反应堆对应的待构建试验模型、以及待构建试验模型与目标反应堆之间的功率比和体积比；基于功率比、体积比以及与试验需求分析结果对应的模化分析方式，确定与待 构建试验模型对应的多组模化比例组合；对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合；根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的总体规模参数。
其中，计算机设备可以但不限于是各种个人计算机、笔记本电脑、智能手机、平板电脑、物联网设备和便携式可穿戴设备，物联网设备可为智能音箱、智能电视、智能空调、智能车载设备等。便携式可穿戴设备可为智能手表、智能手环、头戴设备等。服务器可以用独立的服务器或者是多个服务器组成的服务器集群来实现。
在一些实施例中，如图1所示，提供了一种反应堆试验模型的规模确定方法，以该方法应用于计算机设备(该计算机设备具体可以是终端或服务器)计算机设备为例进行说明，包括以下步骤：
步骤S202，确定目标反应堆，以及获取目标反应堆在试验工况下对应的试验需求分析结果。
其中，反应堆可以是指核反应堆，核反应堆是指可以实现核能利用的装置，根据冷却剂材料的不同，反应堆的种类也不同，具体的，反应堆可以包括水冷堆(压水堆、沸水堆、重水堆)、气冷堆(氦气、二氧化碳等)、液态金属冷却堆(钠、铅铋合金等)，目标反应堆则为计算机设备根据用户的实际需求，从各反应堆中选取出的任意一种的反应堆。
其中，试验工况是指目标反应堆在某一特定的试验内容下的其中一种工作状况，针同不同的试验内容，相应的试验工况也可以不同，同一试验内容，也可以细分为多个试验工况，例如，若试验内容为全场断电事故，则试验工况可以是反应堆满功率下发生全场断电工况，也可以是反应堆停堆下发生的算长断电工况。试验分析结果是指计算机设备对试验工况下，与目标反应堆相关的参数(如目标反应堆的结构参数、目标反应堆的工艺流程等)进行特性分析后得到的结果。
步骤S204，获取与目标反应堆对应的待构建试验模型、以及待构建试验模型与所述目标反应堆之间的功率比和体积比。
其中，待构建试验模型是指计算机设备针对确定的目标反应堆，所要构建的与目标反应堆对应的整体效应试验模型，计算机设备在确定出待构建试验模型的总体规模参数之后，则可以基于总体规模参数，构建得到试验模型，最后通过试验模型，可以开展相应的试验研究工作。
其中，待构建试验模型与目标反应堆之间的功率比是指，待构建试验模型的功率和目标反应堆之间的功率的比值，体积比是指待构建试验模型的体积和目标反应堆的体积之间的比值。
在其中一些实施例中，获取待构建试验模型与目标反应堆的功率比和体积比，包括：获取待构建试验模型的期望功率值；获取目标反应堆的实际运行功率值；根据期望功率值和所述实际运行功率值的比值，获取待构建试验模型与目标反应堆的功率比；基于功率比，确定体积比。
其中，期望功率值可以是指设定的待构建试验模型所要达到的功率，期望功率值可以根据所确定的目标反应堆的类型、目标反应堆的试验工况等进行适应性的调整，也可以参考已有同类型的试验模型的供电规模确定，目标反应堆的实际运行功率值可以是指目标反应堆所能达到的最大输出功率，则计算机设备可以获取期望功率值和实际运行功率值，根据期望功率值和实际运行功率值，确定出待构建试验模型与目标反应堆之间的功率比。
计算机设备在确定功率比之后，则可以根据功率比和体积比之间的对应关系，确定得到体积比，具体的，计算机设备可以结合H2TS(分级双向比例模化)分析方法，得到功率比与体积比之间的对应关系，由此确定出待构建试验模型与目标反应堆之间的体积比，由于在确定功率比和体积比时，是结合了目标反应堆的实际情况，因此，可以确保最后的试验模型可以满足试验需求并具有可行性。
步骤S206，基于功率比、体积比以及与试验需求分析结果对应的模化分析方式，确定与待构建试验模型对应的多组模化比例组合。
其中，模化分析是指计算机设备对待构建模型和目标反应堆进行比例分析，模化分析方式是根据试验需求分析结果选取的，其中，模化分析方式可以包括H2TS模化方式、功率体积模化方式等，功率体积法适用于研究对象瞬变较快的物理进程；H2TS是为了使用复杂的多相流系统开发的模化方法，适用于物理现象复杂，特别是自然循环过程的模化分析，因此，若得到的试验需求分析结果所需求的分析过程较为简单，则可以选择功率体积模化方式，若得到的试验需求分析结果所需求的分析过程较为复杂，则可以选择H2TS分析方式。
模化比例组合是指由功率比、体积比以及模化分析方式所确定的，每一组模化比例组合中可以包括待构建试验模型与目标反应堆之间的多种参数的模化比，具体的，参考表1所示，为待构建试验模型对应的多组模化比例组合：
表1
从表1中可知，模化比例组合共包括组合1、组合2、组合3、组合4以及组合5，每一组中的模化比均包括有功率比、体积比、高度比、面积比以及直径比，在实际应用中，由于反应堆的多样性，且构建待构建试验模型时，不仅需要考虑待构建试验模型本身的规模参数，还需要设计待构建试验模型中所包含的管道、设备的规模参数，因此，模化比可以包括但不限于表1中涉及到的几种，如还可以包括流量比等。
步骤S208，对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合。
其中，可行性分析处理是指计算机设备分析每一组模化比例组合中，各模化比分别对应的初始规模参数是否满足待构建试验模型的设计要求，由此可以确保待构建试验模型具有可行性，通过可行性分析处理，得到处理结果，根据处理结果选取出目标模化比例组合。
步骤S210，根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的总体规模参数。
其中，总体规模参数可以包括待构建试验模型的功率、流量、几何尺寸等参数，计算机设备在确定出功率比、体积比以及目标模化比例组合之后，可以确定出待构建试验模型的总体规模参数。
上述反应堆试验模型的规模确定方法中，通过确定目标反应堆，以及获取目标反应堆在试验工况下对应的试验需求分析结果；获取与目标反应堆对应的待构建试验模型、以及待构建试验模型与目标反应堆之间的功率比和体积比；基于功率比、体积比以及与试验需求分析结果对应的模化分析方式，确定与待构建试验模型对应的多组模化比例组合；对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合；根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的总体规模参数。由此，一方面，通过目标反应堆在实际试验工况下的试验需求分析结果来确定模化分析方式，可以一定程度上使得待构建试验模型的总体规模参数满足目标反应堆的试验需求，另一方面，对确定出的多组模化比例组合进行了可行性分析处理，可以提升待构建试验模型的总体规模参数的可行性，最后根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的总体规模参数，保证了待构建试验模型的总体规模参数的规范性和可靠性。
在其中一些实施例中，获取目标反应堆在试验工况下对应的试验需求分析结果，包括：获取目标反应堆的初始设计参数，初始设计参数包括目标反应堆的工艺流程、工艺参数或结构参数中的至少一种；获取目标反应堆在所述试验工况下，初始设计参数的参数变化特性；基于参数变化特性，获取目标反应堆在试验工况下对应的试验需求分析结果。
其中，初始设计参数是指目标反应堆的原型设计参数，如可以包括工艺流程、工艺参数或者结构参数等，工艺流程可以是指目标反应堆的各个子系统的工作原理，工作介质的流向，以及各个事故工况下各个系统与设备的动作顺序等，工艺参数可以是指目标反应堆的温度、压力、功率、流量等参数，结构参数可以是指目标反应堆的相关设备、管道的长度、高度、面积、标高等参数。
在不同的试验工况下，相应的，目标反应堆的原型设计参数也会发生变化，因此，计算机设备可以通过分析初始设计参数在不同试验工况下的参数变化特性，以此来确定出试验需求分析结果，由此可以通过对目标反应堆的原型设计参数的物理进程进行分析，来获得试验需求分析结果，可以确保后续在确定模化分析方式时，可以结合目标反应堆的实际的参数变化情况来确定，可以提升确定模化分析方式的规范性。
在其中一些实施例中，初始设计参数为工艺参数中的温度，则计算机设备可以分析在试验工况下的温度变化特性，具体的，在全场断电事故工况下，目标反应堆原型的其中一条回路系统的平均温度随着时间变化先升高后降低，则试验需求分析结果可以是需要模拟全场断电事故工况下，目标反应堆原型的其中一条回路系统的平均温度随着时间变化先升高后降低。
在其中一些实施例中，基于功率比、体积比以及与试验需求分析结果对应的模化分析方式，确定与待构建试验模型对应的多组模化比例组合，包括：
确定在功率比和体积比不变时，按照需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合。
其中，计算机设备在确定多组模化比例时，可以设定功率比和体积比不变，并结合模化分析方式，确定出如上述表1所示的多组模化比例组合，如表1中可知，各组模化比例组合中的功率比和体积比始终是保持不变的，而每一组的面积比、高度比以及直径比则会有相应的变化，由此，通过确定出多组模化比例组合，在后续进行对比分析，最终获得可行的模化比例。
在其中一些实施例中，确定在功率比和体积比不变时，按照需求分析结果对应的模化分析方式，确定与待构建试验模型对应的多组模化比例组合，包括：
在功率比和体积比不变的情况下，按照需求分析结果对应的模化分析方式，确定待构建试验模型与所述目标反应堆之间的多种高度比、多种长度比、多种直径比、多种面积比；基于功率比、体积比以及各高度比、直径比、面积比，确定与待构建试验模型对应的多组模化比例组合。
其中，高度比、面积比以及直径比可以是指待构建试验模型的高度与目标反应堆的高度的模化比，也可以是指待构建试验模型中的设备的高度与目标反应堆中，对应设备的高度比，还可以是指待构建试验模型中的管道的高度与目标反应堆中，对应管道的高度比，即待构建试验模型本身的规模参数、以及待构建模试验模型所涉及到的设备、管道等的规模参数，均可以通过本申请中，在通过保持功率比和体积比不变时，然后结合模化分析方式确定得到。
其中，在功率比和体积比不变的情况下，计算机设备可以按照需求分析结果对应的模化分析方式，可以确定出待构建试验模型与目标反应堆之间的多种高度比、多种长度比、多种直径比、多种面积比以及多种流量比，例如，在功率比为1:150.0，体积比为1:150.0时，则高度比可以为1:1.0，面积比可以为1:150.0，直径比可以为1:10.0，流量比可以为1：20.0，又如，在功率比为1:150.0，体积比为1:150.0时，则高度比可以为1:2.0，面积比可以为1:75.0，直径比可以为1:7.1，流量比可以为1：25.0，由此可以增加数据的多样性，从而选取出最优的模化比例组合，有效提升后续确定出的待构建试验模型的总体规模参数的精确度。
在其中一些实施例中，对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合，包括：
分别针对每一组模化比例组合，获得对应的初始规模参数；
将各初始规模参数与预设初始规模参数条件进行比较，获得初始规模比较结果；
将初始规模比较结果为，满足预设初始规模参数条件的初始规模参数对应的模化比例组合，作为目标模化比例组合，预设初始规模参数条件是根据待构建试验模型的加工可行性、空间布置、测量仪表布置进行设定的。
其中，初始规模参数是指根据模化比例组合中的模化比计算得到的参数，针对模化比例组合中的每一个模化比，均可以计算得到对应的参数，例如，若模化比例组合中，面积比为1:75.0，则计算机设备可以结合目标反应堆的实际面积，得到待构建试验模型的模型面积，则模型面积可以为初始规模参数，预设初始规模参数条件是指设定的用于判断初始规模参数是否可以满足待构建模型的构建需求的条件。
其中，预设初始规模参数条件是根据待构建试验模型的加工可行性、空间布置、测量仪表布置进行设定的，具体的，若长度比为待构建试验模型中管道的长度与目标反应堆的管道的长度的模化比，则根据模化比计算得到待构建试验模型中管道的长度，当待构建试验模型中的设备之间采用法兰连接时，需要考虑管道的长度是否满足布置法兰以及测量仪表的要求，而对于高度比的选取应考虑后续在基于待构建试验模型，设计实体装置时的加工制造要求、试验装置场地条件的限制等。
在其中一些实施例中，计算机设备可以根据长度比可以获取待构建试验模型的管道长度，在该管道上需要布置文丘里流量计进行流量测量，文丘里流量计自身的长度以及前后直管段要求长度比选取时需要考虑文丘里流量计(测量仪表)的布置需求，法兰自身具有一定的尺寸，因此在确定初始规模参数条件时，需要考虑选择出的长度比、直径比是否可以保证具有空间，可以布置得下设备及法兰。
在其中一些实施例中，基于处理结果选取出目标模化比例组合之后，根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的总体规模参数之前，包括：
基于目标反应堆的实际规模参数以及所述目标模化比例组合，确定待构建试验模型的目标规模参数；
基于预设规模参数标准值，对目标模化比例组合进行调整。
其中，实际规模参数是指目标反应堆的本身的规模参数，如目标反应堆的实际面积，实际体积等，目标规模参数是指由目标模化比例组合中的模化比计算得到的待构建试验装置的参数，预设规模参数标准值是指针对每一种模化比对应的目标规模参数，设定的规模参数标准值，在设定预设规模参数标准值时，可以结合标准工业规模参数进行设定。
在计算机设备确定出目标模化比例之后，则可以对目标模化比例组合中的模化比进行局部优化，具体的，可以获取目标反应堆的实际规模参数，然后结合模化比例组合中的模化比，对应确定出目标规模参数，并将目标规模参数与对应的预设规模参数进行比较，以此对目标模化比例组合进行调整。例如，根据直径比1/7.0，结合目标反应堆的实际管道内径尺寸141mm，得到待构建实验模型的管道内径为20.14mm，根据预设规模参数调整值(如设定的20mm)，则可以对直径比进行微调，调整为1/7.1。
在另一个实施例中，如图2所示，本实施例涉及到的是根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的总体规模参数的一种可选的过程，包括以下步骤：
步骤S202，根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的候选规模参数。
其中，候选规模参数是指由功率比、体积比以及目标模化比例组合得到的，具体的，计算机设备根据功率比，可以确定出待构建试验模型的功率，根据体积比，可以确定出待构建试验模型的体积，而根据目标模化比例组合中的各模化比，如面积比、流量比等，则可以确定出待构建试验模型的面积、流量等。
步骤S204，基于候选规模参数，进行目标反应堆的关键物理现象分析，获得现象模拟结果。
其中，关键物理现象指的是对目标反应堆的参数(如破口事故下堆芯的最低水位)影响程度较高的物理现象，则计算机设备可以基于候选规模参数，模拟关键物理现象，获得现象模拟结果。
步骤S206，若现象模拟结果与预设现象结果不一致，调整功率比和体积比之后，再返回获取待构建试验模型与目标反应堆的功率比和体积比的步骤，直至现象模拟结果与预设现象结果一致。
其中，预设现象结果是指根据关键物理现象实际发生时的特征进行设定的，若计算机设备确定现象模拟结果与预设现象结果不一致，则表示当前确定的候选规模参数是存在偏差的，则可以调整功率比和体积比之后，再返回获取待构建试验模型与目标反应堆的功率比和体积比的步骤，由此可以确定出新的候选规模参数，然后再基于新的候选规模参数进行关键物理现象分析，直至现象模拟结果与预设现象结果一致。
步骤S208，将与预设现象结果一致的现象模拟结果所对应的候选规模参数，作为待构建试验模型的总体规模参数。
若现象模拟结果与预设现象结果一致，则表明所确定的候选规模参数是符合待构建试验模型的构建要求的，则计算机设备可以将候选规模参数，作为待构建试验模型的总体规模参数。
由此，在计算机设备已经确定候选规模参数的基础上，进一步通过模拟关键物理现象的方式，来验证候选规模参数是否符合需求，由此保证了反应堆整体效应试验模型的规模确定的可靠性。
在其中一些实施例中，如图3所示，为一个具体实施例中，反应堆试验模型的规模确定方法的流程示意图：
本实施例中，首先需要确定研究对象，即确定出目标反应堆，然后确定目标反应堆的试验需求，具体的，计算机设备可以对所研究的目标反应堆的原型参数在不同的试验工况下的变化特性进行分析，如针对压水堆全场断电事故新建试验装置进行研究，从而获取全场断电事故工况下，目标反应堆的功率、 流量、压力、温度等参数的变化特性，如全场断电事故工况下反应堆原型功率、流量等参数及其变化规律。
具体的，在全场断电事故工况下，目标反应堆原型的其中一条回路系统的平均温度随着时间变化先升高后降低，则试验需求分析结果可以是需要模拟全场断电事故工况下，目标反应堆原型的其中一条回路系统的平均温度随着时间变化先升高后降低，则可以选择与该需求分析结果对应的模化方法进行后续的模化分析，如选择双向多级比例分析(H2TS)方法进行模化分析；
进一步的，计算机设备可以确定待构建试验模型的基本模化比例，具体的，基本模化比例可以为待构建试验模型的功率比、体积比，在初步确定待构建试验模型的功率比时可以参考已有同类型试验模型的供电规模，比如功率比取为1:150；待构建试验模型的体积比由模化方法和功率比获得，如基于H2TS方法与功率比(1:150)得到待构建试验模型的体积比为1:150。
在确定模化比例时，计算机设备可以设定功率比和体积比不变，并结合模化分析方式，可以得到多组模化比例组合，各组模化比例组合中的功率比和体积比始终是保持不变的，而每一组的面积比、高度比以及直径比则会有相应的变化，由此，通过确定出多组模化比例组合，在后续进行对比分析，最终获得可行的模化比例组。具体的，在进行对比分析时需要考虑加工可行性、空间布置、测量仪表布置等需求。当设备之间采用法兰连接时，需要考虑长度比之下管道的长度是否满足布置法兰以及测量仪表的要求；对于高度比的选取应考虑设备的加工制造要求、试验装置场地条件的限制等，由此确定出目标模化比例组。
进一步的，计算机设备对确定出的目标模化比例组进行局部优化，获取待构建试验模型的高度比、长度比、直径比、体积比、功率比等模化比例，如对直径比等进行微调，以使得模化之后的管道的直径符合标准工业管道规格。
计算机设备根据确定的模化比例与反应堆原型参数获取待构建试验模型的相关参数，如功率、流量、几何尺寸等；
最后，计算机设备根据待构建试验模型的相关参数进行关键物理现象的模拟，获得模拟结果，并对模拟结果进行分析。若关键物理现象的模拟结果与关键物理现象实际结果一致，则关键物理现象模拟结果分析结束，完成规模确定的流程；若关键物理现象的模拟结果与关键物理现象实际结果不一致，则调整基本模化比例之后，重新确定待构建试验模型的相关参数，直至关键物理现象的模拟结果与关键物理现象实际结果一致。对于关键物理现象分析可以采用理论分析、数值计算、预实验等方式开展；
应该理解的是，虽然如上所述的各实施例所涉及的流程图中的各个步骤按照箭头的指示依次显示，但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，这些步骤可以以其它的顺序执行。而且，如上所述的各实施例所涉及的流程图中的至少一部分步骤可以包括多个步骤或者多个阶段，这些步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，这些步骤或者阶段的执行顺序也不必然是依次进行，而是可以与其它步骤或者其它步骤中的步骤或者阶段的至少一部分轮流或者交替地执行。
基于同样的发明构思，本申请实施例还提供了一种用于实现上述所涉及的反应堆试验模型的规模确定方法的反应堆试验模型的规模确定装置。该装置所提供的解决问题的实现方案与上述方法中所记载的实现方案相似，故下面所提供的一个或多个反应堆试验模型的规模确定装置实施例中的具体限定可以参见上文中对于反应堆试验模型的规模确定方法的限定，在此不再赘述。
在一些实施例中，如图4所示，提供了一种反应堆试验模型的规模确定装置，包括：第一数据获取模块402、第二数据处理获取模块404、第一分析模块406、第二分析模块408和参数确定模块410，其中：
第一数据获取模块402，用于确定目标反应堆，以及获取目标反应堆在试验工况下对应的试验需求分析结果。
第二数据处理获取模块404，用于获取与目标反应堆对应的待构建试验模型、以及待构建试验模型与所述目标反应堆之间的功率比和体积比。
第一分析模块406，用于基于功率比、体积比以及与试验需求分析结果对应的模化分析方式，确定与待构建试验模型对应的多组模化比例组合。
第二分析模块408，用于对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合。
参数确定模块410，用于根据功率比、体积比以及目标模化比例组合，确定所述待构建试验模型的总体规模参数。
在其中一些实施例中，上述第一数据获取模块，还用于获取目标反应堆的初始设计参数，初始设计参数包括目标反应堆的工艺流程、工艺参数或结构参数中的至少一种；获取目标反应堆在所述试验工况下，初始设计参数的参数变化特性；基于参数变化特性，获取目标反应堆在试验工况下对应的试验需求分析结果。
在其中一些实施例中，上述第一数据获取模块，还用于获取待构建试验模型的期望功率值；获取目标反应堆的实际运行功率值；根据期望功率值和实际运行功率值的比值，获取待构建试验模型与所述目标反应堆的功率比；基于功率比，确定所述体积比。
在其中一些实施例中，上述第一分析模块，还用于确定在功率比和体积比不变时，按照需求分析结果对应的模化分析方式，确定与待构建试验模型对应的多组模化比例组合。
在其中一些实施例中，第一分析模块，还用于在功率比和体积比不变的情况下，按照需求分析结果对应的模化分析方式，确定待构建试验模型与目标反应堆之间的多种高度比、多种长度比、多种直径比、多种面积比；基于功率比、体积比以及各高度比、直径比、面积比，确定与待构建试验模型对应的多组模化比例组合。
在其中一些实施例中，上述第二分析模块，还用于分别针对每一组模化比例组合，获得对应的初始规模参数；将各初始规模参数与预设初始规模参数条件进行比较，获得初始规模比较结果；将初始规模比较结果为，满足预设初始规模参数条件的初始规模参数对应的模化比例组合，作为目标模化比例组合，预设初始规模参数条件是根据待构建试验模型的加工可行性、空间布置、测量仪表布置进行设定的。
在其中一些实施例中，所述装置还包括：优化模块；
上述优化模块，用于基于目标反应堆的实际规模参数以及所述目标模化比例组合，确定待构建试验模型的目标规模参数；基于预设规模参数标准值，对目标模化比例组合进行调整。
在其中一些实施例中，上述参数确定模块，还用于根据功率比、体积比以及目标模化比例组合，确定待构建试验模型的候选规模参数；基于候选规模参数，进行目标反应堆的关键物理现象分析，获得现象模拟结果；若现象模拟结果与预设现象结果不一致，调整功率比和体积比之后，再返回获取待构建试验模型与目标反应堆的功率比和体积比的步骤，直至现象模拟结果与预设现象结果一致；将与预设现象结果一致的现象模拟结果所对应的候选规模参数，作为待构建试验模型的总体规模参数。
上述反应堆试验模型的规模确定装置中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中，也可以以软件形式存储于计算机设备中的存储器中，以便于处理器调用执行以上各个模块对应的操作。
在一些实施例中，提供了一种计算机设备，该计算机设备可以是终端，其内部结构图可以如图5所示。该计算机设备包括通过系统总线连接的处理器、存储器、通信接口、显示屏和输入装置。其中，该计算机设备的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统和计算机程序。该内存储器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。该计算机设备的通信接口用于与外部的终端进行有线或无线方式的通信，无线方式可通过WIFI、移动蜂窝网络、NFC(近场通信)或其他技术实现。该计算机程序被处理器执行时以实现一种反应堆试验模型的规模确定方法。该计算机设备的显示屏可以是液晶显示屏或者电子墨水显示屏，该计算机设备的输入装置可以是显示屏上覆盖的触摸层，也可以是计算机设备外壳上设置的按键、轨迹球或触控板，还可以是外接的键盘、触控板或鼠标等。
本领域技术人员可以理解，图5中示出的结构，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的计算机设备的限定，具体的计算机设备可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。
在一些实施例中，提供了一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，该处理器执行计算机程序时实现上述反应堆试验模型的规模确定的步骤。
在一些实施例中，提供了一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器执行时实现上述反应堆试验模型的规模确定方法的步骤。
在一些实施例中，提供了一种计算机程序产品，包括计算机程序，该计算机程序被处理器执行时实现上述反应堆试验模型的规模确定方法的步骤。
需要说明的是，本申请所涉及的用户信息(包括但不限于用户设备信息、用户个人信息等)和数据(包括但不限于用于分析的数据、存储的数据、展示的数据等)，均为经用户授权或者经过各方充分授权的信息和数据。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一非易失性计算机可读取存储介质中，该计算机程序在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、数据库或其它介质的任何引用，均可包括非易失性和易失性存储器中的至少一种。非易失性存储器可包括只读存储器(Read-Only Memory，ROM)、磁带、软盘、闪存、光存储器、高密度嵌入式非易失性存储器、阻变存储器(ReRAM)、磁变存储器(Magnetoresistive Random Access Memory，MRAM)、铁电存储器(Ferroelectric Random Access Memory，FRAM)、相变存储器(Phase Change Memory，PCM)、石墨烯存储器等。易失性存储器可包括随机存取存储器(Random Access Memory，RAM)或外部高速缓冲存储器等。作为说明而非局限，RAM可以是多种形式，比如静态随机存取存储器(Static Random Access Memory，SRAM)或动态随机存取存储器(Dynamic Random Access Memory，DRAM)等。本申请所提供的各实施例中所涉及的数据库可包括关系型数据库和非关系型数据库中至少一种。非关系型数据库可包括基于区块链的分布式数据库等，不限于此。本申请所提供的各实施例中所涉及的处理器可为通用处理器、中央处理器、图形处理器、数字信号处理器、可编程逻辑器、基于量子计算的数据处理逻辑器等，不限于此。
以上实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。
以上所述实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本申请专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请的保护范围应以所附权利要求为准。

Claims (19)

  1. 一种反应堆试验模型的规模确定方法，由计算机设备执行，所述方法包括：
    确定目标反应堆，以及获取所述目标反应堆在试验工况下对应的试验需求分析结果；
    获取与所述目标反应堆对应的待构建试验模型、以及所述待构建试验模型与所述目标反应堆之间的功率比和体积比；
    基于所述功率比、所述体积比以及与所述试验需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合；
    对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合；及
    根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数。
  2. 根据权利要求1所述的方法，其特征在于，所述获取所述目标反应堆在试验工况下对应的试验需求分析结果，包括：
    获取所述目标反应堆的初始设计参数，所述初始设计参数包括所述目标反应堆的工艺流程、工艺参数或结构参数中的至少一种；
    获取所述目标反应堆在所述试验工况下，所述初始设计参数的参数变化特性；及
    基于所述参数变化特性，获取所述目标反应堆在试验工况下对应的试验需求分析结果。
  3. 根据权利要求1所述的方法，其特征在于，所述获取待构建试验模型与所述目标反应堆的功率比和体积比，包括：
    获取所述待构建试验模型的期望功率值；
    获取所述目标反应堆的实际运行功率值；
    根据所述期望功率值和所述实际运行功率值的比值，获取待构建试验模型与所述目标反应堆的功率比；及
    基于所述功率比，确定所述体积比。
  4. 根据权利要求1所述的方法，其特征在于，所述基于所述功率比、所述体积比以及与所述试验需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合，包括：
    确定在所述功率比和所述体积比不变时，按照所述需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合。
  5. 根据权利要求4所述的方法，其特征在于，所述确定在所述功率比和所述体积比不变时，按照所述需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合，包括：
    在所述功率比和所述体积比不变的情况下，按照所述需求分析结果对应的模化分析方式，确定所述待构建试验模型与所述目标反应堆之间的多种高度比、多种长度比、多种直径比、多种面积比；及
    基于所述功率比、所述体积比以及各所述高度比、直径比、面积比，确定与所述待构建试验模型对应的多组模化比例组合。
  6. 根据权利要求1所述的方法，其特征在于，所述对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合，包括：
    分别针对每一组模化比例组合，获得对应的初始规模参数；
    将各所述初始规模参数与预设初始规模参数条件进行比较，获得初始规模比较结果；及
    将所述初始规模比较结果为，满足所述预设初始规模参数条件的初始规模参数对应的模化比例组合，作为目标模化比例组合，所述预设初始规模参数条件是根据所述待构建试验模型的加工可行性、空间布置、测量仪表布置进行设定的。
  7. 根据权利要求1所述的方法，其特征在于，所述基于处理结果选取出目标模化比例组合之后，根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数之前，包括：
    基于所述目标反应堆的实际规模参数以及所述目标模化比例组合，确定所述待构建试验模型的目标规模参数；及
    基于预设规模参数标准值，对所述目标模化比例组合进行调整。
  8. 根据权利要求1所述的方法，其特征在于，所述根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数，包括：
    根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的候选规模参数；
    基于所述候选规模参数，进行所述目标反应堆的关键物理现象分析，获得现象模拟结果；
    在所述现象模拟结果与预设现象结果不一致的条件下，调整所述功率比和体积比之后，再返回获取待构建试验模型与所述目标反应堆的功率比和体积比的步骤，直至所述现象模拟结果与预设现象结果一致；及
    将与预设现象结果一致的现象模拟结果所对应的候选规模参数，作为所述待构建试验模型的总体规模参数。
  9. 一种反应堆试验模型的规模确定装置，其特征在于，所述装置包括：
    第一数据获取模块，用于确定目标反应堆，以及获取所述目标反应堆在试验工况下对应的试验需求分析结果；
    第二数据处理获取模块，用于获取与所述目标反应堆对应的待构建试验模型、以及所述待构建试验模型与所述目标反应堆之间的功率比和体积比；
    第一分析模块，用于基于所述功率比、所述体积比以及与所述试验需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合；
    第二分析模块，用于对每一组模化比例组合分别进行可行性分析处理，并基于处理结果选取出目标模化比例组合；及
    参数确定模块，用于根据所述功率比、所述体积比以及所述目标模化比例组合，确定所述待构建试验模型的总体规模参数。
  10. 根据权利要求9所述的装置，其特征在于，所述第一数据获取模块，还用于获取所述目标反应堆的初始设计参数，所述初始设计参数包括所述目标反应堆的工艺流程、工艺参数或结构参数中的至少一种；获取所述目标反应堆在所述试验工况下，所述初始设计参数的参数变化特性；及基于所述参数变化特性，获取所述目标反应堆在试验工况下对应的试验需求分析结果。
  11. 根据权利要求9所述的装置，其特征在于，所述第一数据获取模块，还用于所述获取所述待构建试验模型的期望功率值；获取所述目标反应堆的实际运行功率值；根据所述期望功率值和所述实际运行功率值的比值，获取待构建试验模型与所述目标反应堆的功率比；及基于所述功率比，确定所述体积比。
  12. 根据权利要求9所述的装置，其特征在于，所述第一分析模块，还用于确定在所述功率比和所述体积比不变时，按照所述需求分析结果对应的模化分析方式，确定与所述待构建试验模型对应的多组模化比例组合。
  13. 根据权利要求12所述的装置，其特征在于，所述第一分析模块，还用于在所述功率比和所述体积比不变的情况下，按照所述需求分析结果对应的模化分析方式，确定所述待构建试验模型与所述目标反应堆之间的多种高度比、多种长度比、多种直径比、多种面积比；及基于所述功率比、所述体积比以及各所述高度比、直径比、面积比，确定与所述待构建试验模型对应的多组模化比例组合。
  14. 根据权利要求9所述的装置，其特征在于，所述第二分析模块，还用于分别针对每一组模化比例组合，获得对应的初始规模参数；将各所述初始规模参数与预设初始规模参数条件进行比较，获得初始规模比较结果；及将所述初始规模比较结果为，满足所述预设初始规模参数条件的初始规模参数对应的模化比例组合，作为目标模化比例组合，所述预设初始规模参数条件是根据所述待构建试验模型的加工可行性、空间布置、测量仪表布置进行设定的。
  15. 根据权利要求9所述的装置，其特征在于，所述装置还包括：优化模块；
    所述优化模块，用于基于所述目标反应堆的实际规模参数以及所述目标模化比例组合，确定所述待构建试验模型的目标规模参数；及基于预设规模参数标准值，对所述目标模化比例组合进行调整。
  16. 根据权利要求9所述的装置，其特征在于，所述参数确定模块，还用于根据所述功率比、所述 体积比以及所述目标模化比例组合，确定所述待构建试验模型的候选规模参数；基于所述候选规模参数，进行所述目标反应堆的关键物理现象分析，获得现象模拟结果；在所述现象模拟结果与预设现象结果不一致的条件下，调整所述功率比和体积比之后，再返回获取待构建试验模型与所述目标反应堆的功率比和体积比的步骤，直至所述现象模拟结果与预设现象结果一致；及将与预设现象结果一致的现象模拟结果所对应的候选规模参数，作为所述待构建试验模型的总体规模参数。
  17. 一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求1至8中任一项所述的方法的步骤。
  18. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现权利要求1至8中任一项所述的方法的步骤。
  19. 一种计算机程序产品，包括计算机程序，其特征在于，该计算机程序被处理器执行时实现权利要求1至8中任一项所述的方法的步骤。
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