Uncertainty measuring and calculating method and system for RCS jet flow interference numerical calculation

Abstract

The invention provides an uncertainty measuring and calculating method and system for RCS jet flow interference numerical calculation, and the method comprises the steps: carrying out the analysis of influence factors in the RCS jet flow interference numerical calculation, and obtaining an uncertainty source; based on the uncertainty source, constructing an uncertainty evaluation subitem; and quantifying the uncertainty evaluation subitems, and obtaining the total uncertainty of RCS jet flow interference numerical calculation according to the quantified uncertainty evaluation subitems. The invention provides a method for evaluating uncertainty of RCS jet flow interference numerical calculation, and provides a method for evaluating uncertainty of RCS jet flow aerodynamic interference calculation data by adopting a non-probabilistic method based on various error influence factors and transmission forms in RCS jet flow interference numerical simulation. The method can be used for quantitative evaluation of the uncertainty of the aerodynamic data of the RCS jet flow interference of the aircraft so as to support the establishment of a jet flow interference database and the design of a control system.

Description

Technical Field

[0001] The present invention relates to the technical field of aircraft aerodynamic performance calculation, and in particular to an uncertainty calculation method and system for numerical calculation of RCS jet interference. Background Art

[0002] The Reaction Control System (RCS) is a direct force control system that uses the reaction force generated by the laterally mounted engine jet to quickly change the aircraft's attitude or trajectory. Its function is to supplement the inefficiency of the aerodynamic control surfaces and quickly change the flight state. RCS jet control technology has the characteristics of fast response, high efficiency, and no influence from the incoming flow pressure. It also reduces the aerodynamic control surfaces, thereby simplifying the heat protection design, reducing the structural mass, and reducing the resistance and radar reflection signal, which is beneficial to stealth. Due to the many advantages of reaction jet control technology, this technology has been or is being applied to more and more aircraft attitude and trajectory control.

[0003] When the RCS engine is working, the interaction between the gas jet and the incoming flow produces extremely complex interference flow, with a series of multi-scale nonlinear complex flow phenomena such as shock wave / shock wave interference, shock wave / boundary layer interference, multiple flow separation and reattachment, vortex, shear layer, etc. There are many factors affecting the aerodynamic interference of the RCS jet, the interference law is complex and changeable, and the sources of uncertainty are more than those of conventional aerodynamic predictions. The quantification of the uncertainty of the aerodynamic interference of the RCS jet is the key to improving the flight quality of RCS-controlled aircraft. Summary of the invention

[0004] The object of the present invention is to provide a method and system for measuring uncertainty in numerical calculation of RCS jet interference, aiming to solve the above-mentioned problems in the prior art.

[0005] The embodiment of the present invention provides a method for measuring uncertainty in numerical calculation of RCS jet interference, including:

[0006] The influencing factors in the numerical calculation of RCS jet interference are analyzed to obtain the sources of uncertainty;

[0007] Construct uncertainty assessment sub-items based on the uncertainty sources; and

[0008] The uncertainty assessment sub-items are quantified, and the total uncertainty of the numerical calculation of the RCS jet interference is obtained according to the quantified uncertainty assessment sub-items.

[0009] The embodiment of the present invention provides an uncertainty measurement system for numerical calculation of RCS jet interference, including:

[0010] Source module, used to analyze the influencing factors in the numerical calculation of RCS jet interference and obtain the uncertainty sources;

[0011] A sub-item module for constructing uncertainty assessment sub-items based on the uncertainty sources; and

[0012] The total measurement module is used to quantify the uncertainty assessment sub-items and obtain the total uncertainty of the RCS jet interference numerical calculation based on the quantified uncertainty assessment sub-items.

[0013] An embodiment of the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the uncertainty measurement method for numerical calculation of RCS jet interference are implemented.

[0014] An embodiment of the present invention further provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps of the uncertainty measurement method for numerical calculation of RCS jet interference are implemented.

[0015] The use of the embodiments of the present invention can include the following beneficial effects: the embodiments of the present invention propose a method for evaluating the uncertainty of numerical calculation of RCS jet interference, based on various influencing factors and error transmission forms in the numerical simulation of RCS jet interference, establish a method for quantifying and analyzing the uncertainty of RCS jet interference data, and provide support for aerodynamic modeling of RCS jet interference and flight control simulation evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0017] Figure 1 It is a flow chart of the uncertainty calculation method for numerical calculation of RCS jet interference according to an embodiment of the present invention;

[0018] Figure 2 1 is a technical solution diagram for quantifying the uncertainty of the numerical calculation results of the jet interference according to an embodiment of the present invention;

[0019] Figure 3 1 is a schematic diagram of the uncertainty quantification result of the jet disturbance quantity of the yaw moment coefficient of the space shuttle-like shape according to an embodiment of the present invention;

[0020] Figure 4 It is a schematic diagram of an uncertainty measurement system for numerical calculation of RCS jet interference according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0022] Method Embodiment

[0023] According to an embodiment of the present invention, a method for measuring uncertainty in numerical calculation of RCS jet interference is provided. Figure 1 FIG. 1 is a flow chart of a method for calculating uncertainty in numerical calculation of RCS jet interference according to an embodiment of the present invention. Figure 1 As shown, the uncertainty measurement method for numerical calculation of RCS jet interference according to an embodiment of the present invention specifically includes:

[0024] Step S101, analyzing the influencing factors in the numerical calculation of RCS jet interference to obtain the sources of uncertainty, specifically including:

[0025] The various error influencing factors and transmission forms in the numerical calculation of RCS jet interference are analyzed to obtain the sources of uncertainty;

[0026] The sources of uncertainty include physical model errors, discrete errors, changes in incoming flow conditions, jet parameter deviations and physical effects;

[0027] Step S102, constructing uncertainty assessment sub-items based on the uncertainty sources;

[0028] The uncertainty assessment items include computational grid, different spatial discretization formats and limiters, wall temperature effects, atmospheric parameter changes, jet parameter changes, thermal spray effects, and slip effects;

[0029] Step S103, quantifying the uncertainty assessment sub-items, and obtaining the total uncertainty of the RCS jet interference numerical calculation according to the quantified uncertainty assessment sub-items, specifically including:

[0030] Each uncertainty assessment item is quantified using the corresponding uncertainty analysis method, and the total uncertainty of the numerical calculation of the RCS jet interference is calculated using Formula 1 based on the quantified uncertainty assessment item;

[0031]

[0032] Among them, U 网格 represents the uncertainty caused by the computational grid, U 格式+限制器 represents the uncertainty caused by different spatial discretization formats and limiters, U 壁温 represents the uncertainty caused by the wall temperature, U 大气参数 represents the uncertainty caused by the change of atmospheric parameters, U 喷流参数 represents the uncertainty caused by the change of jet parameters, U 热喷 represents the uncertainty caused by the thermal spray effect, U 滑移 Represents the uncertainty caused by slip effect.

[0033] The above technical solution of the embodiment of the present invention is described in detail below in combination with the specific situation of the uncertainty measurement method for numerical calculation of RCS jet interference in the embodiment of the present invention.

[0034] An embodiment of the present invention provides a method for evaluating the uncertainty of numerical calculation of RCS jet interference, sorts out and determines the main errors and uncertainty sources in the numerical calculation of RCS jet interference, adopts appropriate evaluation methods for different uncertainty sources to quantify their respective uncertainties, and gives an overall uncertainty on this basis, thereby solving the problem of quantifying the uncertainty of jet aerodynamic interference calculation data.

[0035] Specifically, the embodiment of the present invention sorts out the main errors and sources of uncertainty in the numerical calculation of RCS jet interference, obtains sample data for uncertainty analysis of the numerical calculation of RCS jet interference, adopts non-probabilistic methods for different uncertainty sources and completes the quantification of each uncertainty, and then synthesizes them to form an overall uncertainty, thereby realizing the quantification of the uncertainty of the jet aerodynamic interference calculation data, such as Figure 2 shown.

[0036] Among them, the embodiment of the present invention determines five types of RCS jet interference numerical calculation uncertainty sources, namely, physical model error, discrete error, change in incoming flow conditions, jet parameter deviation, and physical effect influence. The five types of uncertainty sources are refined to form seven sub-item uncertainty assessment items, namely, wall temperature, format + limiter, calculation grid, atmospheric parameters, jet parameters, thermal spray, and slip. For different uncertainty sources, respective applicable uncertainty analysis methods are established, and the overall uncertainty is formed based on the synthesis of the seven sub-item uncertainties, as follows:

[0037] 1. Sort out the sources and composition of uncertainty

[0038] The sources of uncertainty considered in the embodiment of the present invention and their specific compositions are as follows:

[0039] (1) Physical model error: The influence of two types of wall boundary conditions, isothermal wall and adiabatic wall, is taken into account. The isothermal wall takes into account the influence of different wall temperatures.

[0040] (2) Discrete error: Consider the influence of computational grid, spatial discretization format, and limiter.

[0041] (3) Changes in incoming flow conditions: Consider the errors caused by the uncertainty of atmospheric environmental parameters.

[0042] (4) Jet parameter deviation: consider the influence of jet total pressure, total temperature and exit Mach number deviation.

[0043] (5) Influence of physical effects: Consider the medium and temperature effects of the gas jet, as well as the rarefied glide effect at high altitude.

[0044] 2. Quantification of Uncertainty of Sub-items

[0045] (1) Uncertainty caused by computational grid

[0046] The uncertainty U caused by the calculation grid is calculated using the Richardson extrapolation method based on the polynomial Taylor expansion. 网格 .

[0047] (2) Uncertainties caused by different spatial discretization formats and limiters

[0048] The root mean square error method is used to obtain the data dispersion of the calculation results of different spatial discrete formats and limiters, which is used as the uncertainty U caused by the discrete format and limiter. 格式+限制器 .

[0049] (3) Uncertainty caused by wall temperature

[0050] Based on the obtained wall temperature influence law, the sensitivity derivative of the output variable (jet interference, etc.) to the wall temperature within a certain range is obtained by finite difference, and then the calculation result deviation caused by the wall temperature change within a certain range is obtained:

[0051]

[0052] In the formula, δq represents the change of the jet interference amount, δT w represents the change in wall temperature, q represents the jet interference, T w Represents the wall temperature.

[0053] Compare it with the deviation between the isothermal wall and the adiabatic wall calculation results, and take the larger one as U 壁温 .

[0054] (4) Uncertainty caused by changes in atmospheric parameters

[0055] Based on the atmospheric parameters of USSA-1976, the atmospheric pressure, temperature and density deviations that may occur in different regions and at different times given by relevant data are used to determine the atmospheric parameter variation range. Based on the atmospheric parameter variation range, the variation range of the corresponding calculation results (jet interference, etc.) is obtained under the condition that other conditions remain unchanged, and compared with the calculation results of USSA-1976 atmospheric parameters, the maximum deviation is taken as the uncertainty U caused by atmospheric parameters. 大气参数 .

[0056] (5) Uncertainty caused by changes in jet parameters

[0057] Determine the variation range of the jet parameters such as the total pressure, total temperature, and exit Mach number of the RCS nozzle. Based on the variation range of the jet parameters, obtain the variation range of the corresponding calculation results (jet interference, etc.) under the condition that other conditions remain unchanged, and compare them with the calculation results of the benchmark jet parameters. The maximum deviation is taken as the uncertainty U caused by the jet parameters. 喷流参数 .

[0058] (6) Uncertainty caused by thermal spray effect

[0059] When other conditions remain unchanged, the thermal spray results obtained by freezing flow calculation are compared with the corresponding cold spray calculation results. The deviation of cold / hot spray calculation results is taken as the uncertainty U caused by the thermal spray effect. 热喷 .

[0060] (7) Uncertainty caused by slip effect

[0061] When other conditions remain unchanged, the slip effect results are calculated using velocity slip and temperature jump conditions, and compared with the corresponding no-slip calculation results. The deviation of the calculation results with / without slip effect is taken as the uncertainty U caused by the slip effect. 滑移 .

[0062] 3. Synthetic overall uncertainty

[0063] Based on the uncertainty of each item given by the above different sources of uncertainty, the overall uncertainty is synthesized:

[0064]

[0065] The specific implementation is as follows:

[0066] (1) According to the five main sources of uncertainty and their specific contents in the numerical calculation of RCS jet interference, the number of samples required for each uncertainty analysis is determined.

[0067] (2) For typical ballistic points of the aircraft and the working state of the RCS jet, the uncertainty analysis sample data is obtained through numerical calculation.

[0068] (3) To determine the error caused by the calculation grid, calculations need to be performed using grids of different scales (or densities). The ratio r of grids of different scales should be kept as consistent as possible, and it is necessary to ensure that the calculation results of the coarsest grid are qualitatively correct (i.e., the grid should not be too coarse). The multi-grid technique can be used to form grids of different scales, that is, other grids are obtained by equally reducing the three directions of the densest grid.

[0069] a. Mesh convergence analysis

[0070] To perform the convergence analysis of the calculation results of grids of different scales, at least three sets of calculation results S1, S2, and S3 of grids of different scales need to be obtained. The deviation between them and their ratio R are:

[0071] ε 21 = S2 - S1, ε 32 = S3 - S2, R = ε 21 / ε 32 ; (3);

[0072] The convergence conditions are: 0 < R < 1 (monotonic convergence); R < 0 (oscillatory convergence); 1 < R (divergence).

[0073] b. Error estimation using Richardson extrapolation

[0074] Assume that the calculation result is equal to the sum of its exact solution and the power series of the discretization interval, that is

[0075]

[0076] where S is the calculation result, S c is the exact solution, δ * is the error caused by the grid, Δx is the grid spacing, p (i) represents the order of accuracy, and g (i) is the coefficient of this series. For three sets of grids of different scales, ignoring the high-order terms, we have:

[0077] S1 = S c + (Δx1) P * g (5);

[0078] S2 = S c + (Δx2) p * g = S c + (rΔx1) p * g (6);

[0079] S3 = S c + (Δx3) p * g = S c + (r 2 Δx1) p * g (7);

[0080] Where Δx1 represents the grid spacing of the first set of calculations, p represents the grid scale power of the first-order accuracy, g represents the coefficient of the first-order accuracy, Δx2 represents the grid spacing of the second set of calculations, r represents the ratio of different grid scales, and Δx3 represents the grid spacing of the third set of calculations.

[0081] The combined solution gives:

[0082] p=ln(ε 32 / ε 21 ) / ln(r) (8);

[0083] δ * =ε 21 / (r p -1) (9);

[0084] In order to improve the accuracy of error estimation, the correction factor C is used to correct the influence of high-order terms:

[0085]

[0086] where p est is an estimate of the high-order term index and is also the theoretical format accuracy. In the embodiment of the present invention, it is set to 2. For the uncertainty U caused by the grid 网格 , whose expression is:

[0087] U 网格 =[2|1-C|+1]·|δ * | (11).

[0088] (4) When other conditions (computational grid, calculation conditions, etc.) are determined, numerical simulation results with different spatial discretization formats and different limiters are obtained. Data dispersion analysis is performed on the calculation results with different spatial discretization formats and limiters, and the uncertainty U caused by different spatial discretization formats and limiters is given in the form of root mean square error. 格式+限制器 .

[0089] (5) When other conditions (computational grid, calculation conditions, calculation method, etc.) are determined, the influence of wall temperature on the calculation results of jet interference is analyzed to obtain the influence law of wall temperature. Based on the obtained influence law of wall temperature, the sensitivity derivative of the output variable (jet interference amount, etc.) to the wall temperature within a certain range is obtained by finite difference. Then, the calculation result deviation caused by the wall temperature change within a certain range is obtained, and it is compared with the deviation between the isothermal wall and the adiabatic wall calculation results. The larger one is taken as U 壁温 .

[0090] (6) Based on the atmospheric parameters of USSA-1976, the atmospheric pressure and temperature deviations that may occur in different regions and at different times given by relevant data are used to determine the atmospheric parameter variation range. Based on the atmospheric parameter variation range, the variation range of the corresponding calculation results (jet interference, etc.) is obtained under the condition that other conditions remain unchanged, and compared with the calculation results of the atmospheric parameters of USSA-1976, and the maximum deviation is taken as the uncertainty caused by the atmospheric parameters U. 大气参数 .

[0091] (7) Based on the reference jet parameters, the jet total pressure is increased or decreased by 20% as the variation range of the jet total pressure, and the outlet Mach number is increased or decreased by 20% as the variation range of the outlet Mach number. Based on the variation range of the jet total pressure and the jet outlet Mach number, the variation range of the corresponding calculation results (jet interference, etc.) is obtained under the condition that other conditions remain unchanged, and compared with the calculation results of the reference jet parameters, and the maximum deviation is taken as the uncertainty caused by the jet parameters U 喷流参数 .

[0092] (8) When other conditions remain unchanged, the thermal spray results obtained by freezing flow calculation are compared with the corresponding cold spray calculation results. The deviation of cold / hot spray calculation results is taken as the uncertainty U caused by the thermal spray effect. 热喷 .

[0093] (9) When other conditions remain unchanged, the slip effect results are calculated using the velocity slip and temperature jump conditions and compared with the corresponding no-slip calculation results. The deviation of the calculation results with / without slip effect is taken as the uncertainty U caused by the slip effect. 滑移 .

[0094] (10) Based on the individual uncertainties given by the above different uncertainty sources, the overall uncertainty U is synthesized 总 .

[0095] (11) Completed.

[0096] In the embodiment of the present invention, a space shuttle-like shape is selected to quantify the uncertainty of the jet disturbance ΔCmy of the yaw moment coefficient when the RCS attitude control engine in the yaw direction is working, the incoming flow Mach number is 15, the flight altitude is 60 km, and the sideslip angle is 0 degree. Figure 3 The uncertainty quantification results of the jet disturbance ΔCmy of the yaw moment coefficient at different attack angles when the RCS attitude control engine in the yaw direction is working are given.

[0097] System Example

[0098] According to an embodiment of the present invention, a system for measuring uncertainty in numerical calculation of RCS jet interference is provided. Figure 4FIG. 1 is a schematic diagram of an uncertainty measurement system for numerical calculation of RCS jet interference according to an embodiment of the present invention. Figure 4 As shown, the uncertainty measurement system for numerical calculation of RCS jet interference according to an embodiment of the present invention specifically includes:

[0099] The source module 40 is used to analyze the influencing factors in the numerical calculation of the RCS jet interference and obtain the uncertainty source, which is specifically used for:

[0100] The various error influencing factors and transmission forms in the numerical calculation of RCS jet interference are analyzed to obtain the sources of uncertainty;

[0101] The sources of uncertainty include physical model errors, discrete errors, changes in incoming flow conditions, jet parameter deviations and physical effects;

[0102] An itemization module 42, for constructing uncertainty assessment items based on the uncertainty sources;

[0103] The uncertainty assessment items include computational grid, different spatial discretization formats and limiters, wall temperature effects, atmospheric parameter changes, jet parameter changes, thermal spray effects, and slip effects;

[0104] The total measurement module 44 is used to quantify the uncertainty assessment sub-items and obtain the total uncertainty of the RCS jet interference numerical calculation according to the quantified uncertainty assessment sub-items, specifically for:

[0105] Each uncertainty assessment item is quantified using the corresponding uncertainty analysis method, and the total uncertainty of the numerical calculation of the RCS jet interference is calculated using Formula 1 based on the quantified uncertainty assessment item;

[0106]

[0107] Among them, U 网格 represents the uncertainty caused by the computational grid, U 格式+限制器 represents the uncertainty caused by different spatial discretization formats and limiters, U 壁温 represents the uncertainty caused by the wall temperature, U 大气参数 represents the uncertainty caused by the change of atmospheric parameters, U 喷流参数 represents the uncertainty caused by the change of jet parameters, U 热喷 represents the uncertainty caused by the thermal spray effect, U 滑移 Represents the uncertainty caused by slip effect.

[0108] The embodiment of the present invention is a system embodiment corresponding to the above-mentioned method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0109] In summary, an embodiment of the present invention proposes a method for evaluating the uncertainty of numerical calculation of RCS jet interference. Based on various error influencing factors and transmission forms in the numerical simulation of RCS jet interference, a method for evaluating the uncertainty of RCS jet aerodynamic interference calculation data is proposed by adopting a non-probabilistic method. The method can be used for quantitative evaluation of the uncertainty of aircraft RCS jet interference aerodynamic data to support the establishment of jet interference database and control system design.

[0110] The embodiment of the present invention is based on the many influencing factors involved in the numerical calculation of RCS jet interference, sorts out the main errors and sources of uncertainty, obtains sample data for uncertainty analysis of the numerical calculation of RCS jet interference, adopts non-probabilistic methods for different uncertainty sources and completes the quantification of each uncertainty, and then synthesizes them to form an overall uncertainty, thereby realizing the quantification of the uncertainty of the jet aerodynamic interference calculation data. Compared with the prior art, the embodiment of the present invention has the following advantages:

[0111] 1. The quantifiable sources and components of uncertainty in the numerical calculation of RCS jet interference were sorted out and determined;

[0112] 2. The uncertainty assessment process is simple and clear, easy to operate, requires little calculation, and has strong engineering application value.

[0113] Device Example 1

[0114] An embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps described in the method embodiment when executed by the processor.

[0115] Device Example 2

[0116] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps described in the method embodiment are implemented.

[0117] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for calculating the uncertainty of numerical calculation of RCS jet interference, characterized in that include: The influencing factors in the numerical calculation of RCS jet interference are analyzed to obtain the sources of uncertainty; Construct uncertainty assessment sub-items based on the uncertainty sources; as well as The uncertainty assessment sub-items are quantified, and the total uncertainty of the numerical calculation of the RCS jet interference is obtained according to the quantified uncertainty assessment sub-items.

2. The method according to claim 1, characterized in that The influencing factors in the numerical calculation of RCS jet interference are analyzed, and the sources of uncertainty are found to be: The various error influencing factors and transmission forms in the numerical calculation of RCS jet interference are analyzed to obtain the sources of uncertainty; The sources of uncertainty include physical model errors, discrete errors, changes in incoming flow conditions, jet parameter deviations and physical effects.

3. The method according to claim 1, characterized in that The uncertainty assessment items include computational grid, different spatial discretization formats and limiters, wall temperature influence, atmospheric parameter changes, jet parameter changes, thermal spray effect and slip effect.

4. The method according to claim 3, characterized in that The uncertainty assessment items are quantified, and the total uncertainty of the numerical calculation of the RCS jet interference is obtained according to the quantified uncertainty assessment items, which specifically includes: Each uncertainty assessment item is quantified using the corresponding uncertainty analysis method, and the total uncertainty of the numerical calculation of the RCS jet interference is calculated using Formula 1 based on the quantified uncertainty assessment item; Among them, U 网格 represents the uncertainty caused by the computational grid, U 格式+限制器 represents the uncertainty caused by different spatial discretization formats and limiters, U 壁温 represents the uncertainty caused by the wall temperature, U 大气参数 represents the uncertainty caused by the change of atmospheric parameters, U 喷流参数 represents the uncertainty caused by the change of jet parameters, U 热喷 represents the uncertainty caused by the thermal spray effect, U 滑移 Represents the uncertainty caused by slip effect.

5. An uncertainty measurement system for numerical calculation of RCS jet interference, characterized in that include: Source module, used to analyze the influencing factors in the numerical calculation of RCS jet interference and obtain the uncertainty sources; A sub-item module, used for constructing uncertainty assessment sub-items based on the uncertainty sources; as well as The total measurement module is used to quantify the uncertainty assessment sub-items and obtain the total uncertainty of the RCS jet interference numerical calculation based on the quantified uncertainty assessment sub-items.

6. The system according to claim 5, characterized in that The source module is specifically used for: The various error influencing factors and transmission forms in the numerical calculation of RCS jet interference are analyzed to obtain the sources of uncertainty; The sources of uncertainty include physical model errors, discrete errors, changes in incoming flow conditions, jet parameter deviations and physical effects.

7. The system according to claim 5, characterized in that The uncertainty assessment items include computational grid, different spatial discretization formats and limiters, wall temperature influence, atmospheric parameter changes, jet parameter changes, thermal spray effect and slip effect.

8. The system according to claim 7, characterized in that The total calculation module is specifically used for: Each uncertainty assessment item is quantified using the corresponding uncertainty analysis method, and the total uncertainty of the numerical calculation of the RCS jet interference is calculated using Formula 1 based on the quantified uncertainty assessment item; Among them, U 网格 represents the uncertainty caused by the computational grid, U 格式+限制器 represents the uncertainty caused by different spatial discretization formats and limiters, U 壁温 represents the uncertainty caused by the wall temperature, U 大气参数 represents the uncertainty caused by the change of atmospheric parameters, U 喷流参数 represents the uncertainty caused by the change of jet parameters, U 热喷 represents the uncertainty caused by the thermal spray effect, U 滑移 Represents the uncertainty caused by slip effect.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the uncertainty measurement method for numerical calculation of RCS jet interference as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by a processor, the steps of the uncertainty measurement method for numerical calculation of RCS jet interference as described in any one of claims 1 to 4 are implemented.

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