A CFD model consistency measurement method, device, equipment and storage medium based on wind tunnel test

Abstract

This application discloses a CFD model consistency measurement method, apparatus, device, and storage medium based on wind tunnel testing, which relates to the field of model detection technology, including: conducting a wind tunnel test on a device to be detected to obtain aerodynamic force-related data corresponding to the target device state of the device to be detected, and obtaining a CFD model simulation result corresponding to the target device state of the device to be detected; determining a state mixture Gaussian distribution function corresponding to the target device state of the device to be detected based on the aerodynamic force-related data; and performing consistency measurement on the CFD model simulation result based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model. In this way, a reasonable consistency analysis result for the CFD model can be obtained.

Description

Technical Field

[0001] The present invention relates to the field of model detection technology, and in particular to a CFD model consistency measurement method, device, equipment and storage medium based on wind tunnel testing. Background Art

[0002] Model validation originated in the aviation, aerospace, and nuclear industries. With the increasing adoption of numerical simulation models in other industrial sectors, the issue of model validation has garnered significant attention in recent years. However, academia and engineering communities have long struggled to reach a consensus on the concept of model validation. To date, a fully unified definition and standard for model validation has yet to be established in China.

[0003] Model consistency measurement is an important step in model validation and is a quantitative expression of the degree of agreement between model simulation results and actual test results. Based on the different characterization methods of model simulation results and actual test data, model consistency measurement is divided into consistency measurement under certainty and consistency measurement under uncertainty. A reasonable mathematical representation of the uncertainty of simulation and test results is a prerequisite for model consistency measurement under uncertainty. Due to the uncertainty of test data from different wind tunnels, existing area-based consistency measurement methods cannot provide reasonable consistency analysis results. Therefore, how to obtain reasonable model consistency measurement results needs to be solved. Summary of the Invention

[0004] In view of this, the present invention aims to provide a CFD model consistency measurement method, device, equipment, and storage medium based on wind tunnel testing, which can provide reasonable consistency analysis results for CFD models. The specific scheme is as follows:

[0005] In a first aspect, the present application discloses a CFD model consistency measurement method based on wind tunnel testing, comprising:

[0006] Performing a wind tunnel test on the device to be tested to obtain aerodynamic force data corresponding to the target device state of the device to be tested, and obtaining CFD model simulation results corresponding to the target device state of the device to be tested;

[0007] Determine, based on the aerodynamic force related data, a state mixture Gaussian distribution function of the device to be detected corresponding to the target device state;

[0008] The consistency measurement of the CFD model simulation results is performed based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model.

[0009] Optionally, the wind tunnel test is performed on the device to be tested to obtain aerodynamic force-related data corresponding to the device to be tested in the target device state, including:

[0010] Obtaining a target device state corresponding to the device to be tested, and determining the target device state as a target experimental parameter; the target device state includes Mach number and angle of attack;

[0011] Based on the target experimental parameters, a number of wind tunnel tests are performed on the equipment to be tested to obtain a number of corresponding aerodynamic force related data, wherein the aerodynamic force related data includes a lift coefficient, a drag coefficient, and a pitching moment.

[0012] Optionally, determining the state mixture Gaussian distribution function of the device to be detected corresponding to the target device state based on the aerodynamic force related data includes:

[0013] Determining each component of the Gaussian distribution based on the Bayesian information criterion, and determining the data mean and data variance of the plurality of aerodynamic force related data of each of the wind tunnel tests as the initial data mean and initial data variance of each component, respectively;

[0014] Determining an initial weight of each component in the Gaussian distribution, and fitting the plurality of aerodynamic force-related data corresponding to each component based on the initial data mean, the initial data variance, and the initial weight to obtain a cumulative distribution function corresponding to each component;

[0015] The state mixture Gaussian distribution function of the device to be detected corresponding to the target device state is determined based on the cumulative distribution function corresponding to each component.

[0016] Optionally, obtaining a CFD model simulation result corresponding to the target device state of the device to be detected includes:

[0017] The target device state corresponding to the device to be tested is input into the target CFD model for data simulation to obtain corresponding CFD model simulation results; the target device state includes Mach number and angle of attack; the CFD model simulation results include lift coefficient, drag coefficient and pitching moment.

[0018] Optionally, the performing consistency measurement on the CFD model simulation result based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model includes:

[0019] Determine the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and determine the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function;

[0020] A consistency measurement result of the target CFD model is determined based on the cumulative probability, the cumulative distribution probability and a preset consistency measurement operator.

[0021] Optionally, determining the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and determining the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function, includes:

[0022] Substituting the target mean of the state mixture Gaussian distribution function into a preset cumulative probability function to obtain the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean;

[0023] Substitute the CFD model simulation result into the preset cumulative probability function to obtain the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function.

[0024] Optionally, determining a consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability, and a preset consistency measurement operator includes:

[0025] Constructing a probability-based consistency operator to obtain a preset consistency measurement operator;

[0026] Substituting the cumulative probability and the cumulative distribution probability into the preset consistency measurement operator to obtain a consistency measurement data result;

[0027] Based on the difference between the preset data thresholds of the consistency measurement data results, the consistency measurement results of the target CFD model are determined.

[0028] In a second aspect, the present application discloses a CFD model consistency measurement device based on wind tunnel testing, comprising:

[0029] A wind tunnel test module is used to perform a wind tunnel test on the device to be tested to obtain aerodynamic force data corresponding to the target device state of the device to be tested, and obtain CFD model simulation results corresponding to the target device state of the device to be tested;

[0030] A Gaussian function determination module, configured to determine a state mixture Gaussian distribution function of the device to be detected corresponding to the target device state based on the aerodynamic force related data;

[0031] The consistency measurement module is used to perform consistency measurement on the CFD model simulation results based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model.

[0032] In a third aspect, the present application discloses an electronic device, comprising:

[0033] Memory, used to store computer programs;

[0034] A processor is used to execute the computer program to implement the aforementioned CFD model consistency measurement method based on wind tunnel testing.

[0035] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the aforementioned CFD model consistency measurement method based on wind tunnel testing.

[0036] It can be seen that in this application, a wind tunnel test is conducted on the device to be tested to obtain the aerodynamic force-related data corresponding to the target device state of the device to be tested, and the CFD model simulation results corresponding to the target device state of the device to be tested are obtained; the state mixed Gaussian distribution function of the device to be tested corresponding to the target device state is determined based on the aerodynamic force-related data; the consistency measurement of the CFD model simulation results is performed based on the state mixed Gaussian distribution function and the preset consistency measurement operator to obtain the consistency measurement result of the target CFD model. That is, for a certain device state data of a certain target device state, the mixed Gaussian distribution of the device state data in this state is obtained using the wind tunnel test data; the cumulative probability at the mean of the mixed Gaussian distribution in this state is calculated, and the cumulative distribution probability corresponding to the CFD simulation result in the mixed Gaussian distribution in this state is obtained; a probability-based consistency measurement operator is constructed, and the preset consistency measurement operator is used to perform consistency measurement on the CFD model simulation results. In this way, a reasonable consistency analysis result for the CFD model can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0038] Figure 1 This is a flow chart of a CFD model consistency measurement method based on wind tunnel testing disclosed in this application;

[0039] Figure 2 This is a flow chart of a specific CFD model consistency measurement method based on wind tunnel testing disclosed in this application;

[0040] Figure 3 This is a schematic diagram of the structure of a CFD model consistency measurement device based on wind tunnel testing disclosed in this application;

[0041] Figure 4 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0043] Model consistency measurement is an important step in model validation, and is a quantitative expression of the degree of consistency between model simulation results and actual test results. Model validation originated in the fields of aviation, aerospace, and nuclear industries. With the gradual promotion and application of numerical simulation models in other industrial fields, the issue of model validation has attracted much attention in recent years. At present, how to comprehensively utilize the test data of different wind tunnels to reasonably measure the consistency of CFD models is an inevitable and important issue. Therefore, this application will specifically introduce a CFD model consistency measurement method for wind tunnel tests, which can obtain reasonable comprehensive consistency measurement results of CFD models.

[0044] See also Figure 1 As shown, the embodiment of the present application discloses a CFD model consistency measurement method based on wind tunnel testing, including:

[0045] Step S11: performing a wind tunnel test on the device to be tested to obtain aerodynamic force related data corresponding to the target device state of the device to be tested, and obtaining CFD model simulation results corresponding to the target device state of the device to be tested.

[0046] In this embodiment, conducting a wind tunnel test on the device to be tested to obtain aerodynamic force-related data corresponding to the device to be tested in a target device state includes: obtaining a target device state corresponding to the device to be tested and determining the target device state as a target experimental parameter; the target device state includes Mach number and angle of attack; and conducting a number of wind tunnel tests on the device to be tested based on the target experimental parameters to obtain corresponding aerodynamic force-related data, including lift coefficient, drag coefficient, and pitching moment. Specifically, a device in the aviation, aerospace, and nuclear industries, such as an aircraft wing (e.g., a carbon fiber composite wing), the aircraft itself, or its propulsion system, can be used as the device to be tested. Wind tunnel testing can be conducted on the device to be tested in a certain state to obtain specific quantities of interest corresponding to the device to be tested in that state. The target device state can refer to the device to be tested's Mach number, angle of attack, etc., and the corresponding aerodynamic force-related data can be the wind tunnel test results corresponding to the target device state, such as lift coefficient, drag coefficient, pitching moment, etc.

[0047] Step S12: determining a state mixture Gaussian distribution function of the device to be detected corresponding to the target device state based on the aerodynamic force related data.

[0048] In this embodiment, the state mixed Gaussian distribution function of the device to be detected corresponding to the target device state based on the aerodynamic force related data is determined, including: determining the components of the Gaussian distribution based on the Bayesian Information Criteria criterion, and determining the data mean and data of the several aerodynamic force related data of each wind tunnel test as the initial data mean and initial data variance of each component; determining the initial weight of each component in the Gaussian distribution, and fitting the several aerodynamic force related data corresponding to each component based on the initial data mean, the initial data variance and the initial weight to obtain the cumulative distribution function corresponding to each component; determining the state mixed Gaussian distribution function of the device to be detected corresponding to the target device state based on the cumulative distribution function corresponding to each component. Specifically, the number of component distributions in the Gaussian distribution can be set according to the BIC (Bayesian Information criteria) criterion or according to actual conditions. The distributions of each component in the mixed Gaussian distribution are all Gaussian distributions, and the mean of each component distribution can be obtained by fitting. ,variance and weights , then the cumulative distribution function of each component can be obtained based on the mean and variance , then the mixed Gaussian distribution function is:

[0049] ;

[0050] in Indicates a certain amount of attention, represents the number of component distributions in the mixed Gaussian distribution, Indicates the sequence number of the component distribution in the mixed Gaussian distribution.

[0051] In this embodiment, obtaining a CFD model simulation result corresponding to the target device state for the device under test includes: inputting the target device state corresponding to the device under test into the target CFD model for data simulation to obtain corresponding CFD model simulation results; the target device state includes Mach number and angle of attack; and the CFD model simulation results include lift coefficient, drag coefficient, and pitching moment. Specifically, performing a CFD model simulation (Computational Fluid Dynamics) on the device under test in a certain state can obtain a specific quantity of interest corresponding to the device under test in that state.

[0052] Step S13: performing consistency measurement on the CFD model simulation results based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model.

[0053] In this embodiment, the consistency measurement of the CFD model simulation results based on the state mixture Gaussian distribution function and the preset consistency measurement operator to obtain the consistency measurement result of the target CFD model includes: determining the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and determining the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function; determining the consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability and the preset consistency measurement operator. That is, calculating the cumulative probability at the mean of the mixture Gaussian distribution in the state, calculating the cumulative distribution probability corresponding to the CFD simulation result in the mixture Gaussian distribution in the state; then constructing a probability-based consistency measurement operator to perform consistency measurement on the CFD model to obtain the consistency measurement result.

[0054] Specifically, the determination of the cumulative probability corresponding to the target mean of the state mixture Gaussian distribution function and the determination of the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function include: substituting the target mean of the state mixture Gaussian distribution function into the preset cumulative probability function to obtain the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean; substituting the CFD model simulation result into the preset cumulative probability function to obtain the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function. First, under the state of the equipment, the mean of the mixed Gaussian distribution of aerodynamic related data is The cumulative probability in this mixed Gaussian distribution is ,in Indicates the The Gaussian cumulative distribution function of the components, represents the number of component distributions in the mixed Gaussian distribution, represents the sequence number of the component distribution in the mixed Gaussian distribution, Indicates the The weight of the component distribution.

[0055] CFD simulation results of aerodynamic data under this equipment state The cumulative probability in this mixed Gaussian distribution is ,in Indicates the The Gaussian cumulative distribution function of the components, Indicates the CFD simulation results under this state, represents the number of component distributions in the mixed Gaussian distribution, represents the sequence number of the component distribution in the mixed Gaussian distribution, Indicates the The weight of the component distribution.

[0056] Specifically, the determination of the consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability and the preset consistency measurement operator includes: constructing a probability-based consistency operator to obtain a preset consistency measurement operator; substituting the cumulative probability and the cumulative distribution probability into the preset consistency measurement operator to obtain a consistency measurement data result; and determining the consistency measurement result of the target CFD model based on the difference between the preset data thresholds of the consistency measurement data result. Specifically, the probability-based consistency measurement operator is:

[0057] ;

[0058] in, represents the comprehensive consistency measurement result of the CFD model in this state, and its value range is [0,1], and The closer it is to 1, the better the consistency between the CFD model results and the wind tunnel test results. The closer it is to 0, the worse the consistency between the CFD model results and the wind tunnel test results.

[0059] In actual operation, Figure 2 As shown in the figure, the lift coefficient of the target device under test in a certain state is calculated based on the test data of three wind tunnels. 、 、 (in represent the number of three wind tunnel test data respectively), (remember represents the total number of three wind tunnel test data), the number of components of the mixed Gaussian distribution is set to 3, the initial mean is the mean of the three wind tunnel test data, the initial variance is the variance of the three wind tunnel test data, and the initial weight is set to [1 / 3, 1 / 3, 1 / 3]. The wind tunnel test data under this state are fitted. The mean of each component of the mixed Gaussian distribution ,variance and weights According to the above operation, the mean of the mixed Gaussian distribution can be obtained , and the cumulative distribution function of each component distribution , calculate the mean of the mixed Gaussian distribution in this state The cumulative probability of each component in the Gaussian distribution , , and then get the mean The cumulative probability of ; Calculate the CFD simulation results under this state The cumulative probability of each component in the Gaussian distribution , , then get The corresponding cumulative distribution probability in the mixed Gaussian distribution Finally, the probability-based consistency measure operator , calculate and obtain the consistency measurement results of the CFD model.

[0060] It can be seen that in this embodiment, a wind tunnel test is conducted on the device to be tested to obtain aerodynamic force-related data corresponding to the target device state of the device to be tested, and the CFD model simulation results corresponding to the target device state of the device to be tested are obtained; the state mixture Gaussian distribution function of the device to be tested corresponding to the target device state is determined based on the aerodynamic force-related data; the consistency measurement of the CFD model simulation results is performed based on the state mixture Gaussian distribution function and the preset consistency measurement operator to obtain the consistency measurement result of the target CFD model. That is, for a certain device state data of a certain target device state, the mixed Gaussian distribution of the device state data in this state is obtained using the wind tunnel test data; the cumulative probability at the mean of the mixed Gaussian distribution in this state is calculated, and the cumulative distribution probability corresponding to the CFD simulation result in the mixed Gaussian distribution in this state is obtained; a probability-based consistency measurement operator is constructed, and the preset consistency measurement operator is used to perform consistency measurement on the CFD model simulation results. In this way, a reasonable consistency analysis result for the CFD model can be obtained.

[0061] refer to Figure 3 The embodiment of the present application further discloses a CFD model consistency measurement device based on wind tunnel testing, comprising:

[0062] A wind tunnel test module 11 is configured to perform a wind tunnel test on the device to be tested to obtain aerodynamic force data corresponding to a target device state of the device to be tested, and obtain CFD model simulation results corresponding to the target device state of the device to be tested;

[0063] A Gaussian function determination module 12 is configured to determine a state mixture Gaussian distribution function of the device to be detected corresponding to the target device state based on the aerodynamic force related data;

[0064] The consistency measurement module 13 is used to perform consistency measurement on the CFD model simulation results based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model.

[0065] As can be seen, in this embodiment, for a certain device state data of a certain target device state, wind tunnel test data is used to obtain a mixed Gaussian distribution of the device state data in that state; the cumulative probability at the mean of the mixed Gaussian distribution in that state is calculated, and the corresponding cumulative distribution probability of the CFD simulation results in that state in the mixed Gaussian distribution is obtained simultaneously; a probability-based consistency metric operator is constructed and preset to perform consistency measurement on the CFD model simulation results. In this way, reasonable consistency analysis results for the CFD model can be obtained.

[0066] In some specific embodiments, the wind tunnel test module 11 may specifically include:

[0067] A target device state acquisition unit is used to acquire the target device state corresponding to the device to be tested, and determine the target device state as a target experimental parameter; the target device state includes Mach number and angle of attack;

[0068] The wind tunnel test result determination unit is used to perform a plurality of wind tunnel tests on the equipment to be tested based on the target experimental parameters to obtain a plurality of corresponding aerodynamic force related data, wherein the aerodynamic force related data includes a lift coefficient, a drag coefficient and a pitching moment.

[0069] In some specific embodiments, the Gaussian function determination module 12 may specifically include:

[0070] a component data determination unit, configured to determine each component of the Gaussian distribution based on a Bayesian information criterion, and to determine a data mean and a data variance of a plurality of aerodynamic-related data of each of the wind tunnel tests as an initial data mean and an initial data variance of each component;

[0071] a cumulative distribution function determining unit, configured to determine the initial weights of the components in the Gaussian distribution and to fit the aerodynamic force-related data corresponding to the components based on the initial data mean, the initial data variance, and the initial weights, so as to obtain the cumulative distribution functions corresponding to the components;

[0072] A Gaussian distribution function determining unit is configured to determine a state mixture Gaussian distribution function corresponding to the target device state of the device to be detected based on the cumulative distribution functions corresponding to the components.

[0073] In some specific embodiments, the wind tunnel test module 11 may specifically include:

[0074] A model simulation unit is used to input the target device state corresponding to the device to be tested into the target CFD model for data simulation to obtain corresponding CFD model simulation results; the target device state includes Mach number and angle of attack; and the CFD model simulation results include lift coefficient, drag coefficient and pitching moment.

[0075] In some specific embodiments, the consistency measurement module 13 may specifically include:

[0076] a distribution probability determination submodule, configured to determine the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and to determine the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function;

[0077] The consistency measurement submodule is used to determine the consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability and a preset consistency measurement operator.

[0078] In some specific embodiments, the distribution probability determination submodule may specifically include:

[0079] a cumulative probability determination unit, configured to substitute the target mean of the state mixture Gaussian distribution function into a preset cumulative probability function to obtain the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean;

[0080] The cumulative distribution probability determination unit is used to substitute the CFD model simulation result into the preset cumulative probability function to obtain the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function.

[0081] In some specific embodiments, the consistency measurement submodule may specifically include:

[0082] A metric calculation determination unit, configured to construct a probability-based consistency operator to obtain a preset consistency metric operator;

[0083] A data result determining unit, configured to substitute the cumulative probability and the cumulative distribution probability into the preset consistency measurement operator to obtain a consistency measurement data result;

[0084] The consistency measurement unit is used to determine the consistency measurement result of the target CFD model based on the difference between the preset data thresholds of the consistency measurement data result.

[0085] Furthermore, the embodiment of the present application also discloses an electronic device, Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram should not be considered as any limitation to the scope of application of the present application.

[0086] Figure 4 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps of the CFD model consistency measurement method based on wind tunnel testing disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0087] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device. The communication protocol it follows is any communication protocol that can be applied to the technical solution of this application and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world. Its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0088] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or CD, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0089] The operating system 221 is used to manage and control the hardware devices and computer program 222 on the electronic device 20, and can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of implementing the CFD model consistency measurement method based on wind tunnel testing performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include computer programs capable of implementing other specific tasks.

[0090] Furthermore, this application discloses a computer-readable storage medium for storing a computer program; wherein, when executed by a processor, the computer program implements the aforementioned wind tunnel test-based CFD model consistency measurement method. The specific steps of this method can be found in the corresponding content disclosed in the aforementioned embodiments and will not be repeated here.

[0091] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0092] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0093] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0094] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0095] The above is a detailed introduction to the technical solution provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for those skilled in the art, according to the ideas of the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A CFD model consistency measurement method based on wind tunnel testing, characterized in that: include: Performing a wind tunnel test on the device to be tested to obtain aerodynamic force data corresponding to the target device state of the device to be tested, and obtaining CFD model simulation results corresponding to the target device state of the device to be tested; Determine, based on the aerodynamic force related data, a state mixture Gaussian distribution function of the device to be detected corresponding to the target device state; Performing consistency measurement on the CFD model simulation results based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model; Wherein, the consistency measurement of the CFD model simulation results based on the state mixture Gaussian distribution function and the preset consistency measurement operator to obtain the consistency measurement result of the target CFD model includes: determining the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and determining the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function; determining the consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability and the preset consistency measurement operator; The determining of the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and determining the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function, includes: substituting the target mean of the state mixture Gaussian distribution function into a preset cumulative probability function to obtain the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean; substituting the CFD model simulation result into the preset cumulative probability function to obtain the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function; The method of determining the consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability and the preset consistency measurement operator includes: constructing a probability-based consistency operator to obtain a preset consistency measurement operator; substituting the cumulative probability and the cumulative distribution probability into the preset consistency measurement operator to obtain a consistency measurement data result; and determining the consistency measurement result of the target CFD model based on the difference between the consistency measurement data result and a preset data threshold.

2. The CFD model consistency measurement method based on wind tunnel test according to claim 1 is characterized in that: The wind tunnel test is performed on the device to be tested to obtain aerodynamic force related data corresponding to the target device state of the device to be tested, including: Obtaining a target device state corresponding to the device to be tested, and determining the target device state as a target experimental parameter; the target device state includes Mach number and angle of attack; Based on the target experimental parameters, a number of wind tunnel tests are performed on the equipment to be tested to obtain a number of corresponding aerodynamic force related data, wherein the aerodynamic force related data includes a lift coefficient, a drag coefficient, and a pitching moment.

3. The CFD model consistency measurement method based on wind tunnel test according to claim 2 is characterized in that: Determining the state mixture Gaussian distribution function of the device to be detected corresponding to the target device state based on the aerodynamic force related data includes: Determining each component of the Gaussian distribution based on the Bayesian information criterion, and determining the data mean and data variance of the plurality of aerodynamic force related data of each of the wind tunnel tests as the initial data mean and initial data variance of each component, respectively; Determining an initial weight of each component in the Gaussian distribution, and fitting the plurality of aerodynamic force-related data corresponding to each component based on the initial data mean, the initial data variance, and the initial weight to obtain a cumulative distribution function corresponding to each component; The state mixture Gaussian distribution function of the device to be detected corresponding to the target device state is determined based on the cumulative distribution function corresponding to each component.

4. The CFD model consistency measurement method based on wind tunnel test according to claim 1 is characterized in that: The obtaining of the CFD model simulation result of the device to be detected corresponding to the target device state includes: The target device state corresponding to the device to be tested is input into the target CFD model for data simulation to obtain corresponding CFD model simulation results; the target device state includes Mach number and angle of attack; the CFD model simulation results include lift coefficient, drag coefficient and pitching moment.

5. A CFD model consistency measurement device based on wind tunnel testing, characterized in that: include: A wind tunnel test module is used to perform a wind tunnel test on the device to be tested to obtain aerodynamic force data corresponding to the target device state of the device to be tested, and obtain CFD model simulation results corresponding to the target device state of the device to be tested; A Gaussian function determination module, configured to determine a state mixture Gaussian distribution function of the device to be detected corresponding to the target device state based on the aerodynamic force related data; A consistency measurement module is used to perform consistency measurement on the CFD model simulation results based on the state mixture Gaussian distribution function and a preset consistency measurement operator to obtain a consistency measurement result of the target CFD model; Wherein, the consistency measurement of the CFD model simulation results based on the state mixture Gaussian distribution function and the preset consistency measurement operator to obtain the consistency measurement result of the target CFD model includes: determining the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and determining the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function; determining the consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability and the preset consistency measurement operator; The determining of the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean, and determining the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function, includes: substituting the target mean of the state mixture Gaussian distribution function into a preset cumulative probability function to obtain the cumulative probability corresponding to the state mixture Gaussian distribution function at the target mean; substituting the CFD model simulation result into the preset cumulative probability function to obtain the cumulative distribution probability corresponding to the CFD model simulation result in the state mixture Gaussian distribution function; The method of determining the consistency measurement result of the target CFD model based on the cumulative probability, the cumulative distribution probability and the preset consistency measurement operator includes: constructing a probability-based consistency operator to obtain a preset consistency measurement operator; substituting the cumulative probability and the cumulative distribution probability into the preset consistency measurement operator to obtain a consistency measurement data result; and determining the consistency measurement result of the target CFD model based on the difference between the consistency measurement data result and a preset data threshold.

6. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the CFD model consistency measurement method based on wind tunnel testing according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that Used to store a computer program, which, when executed by a processor, implements the CFD model consistency measurement method based on wind tunnel testing according to any one of claims 1 to 4.

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