Turbulence separation quantitative analysis method and device, electronic equipment and storage medium
By identifying and improving the turbulent separation boundary in the turbulent separation region through CFD simulation, the problem of improving the flow separation region in vehicle aerodynamic design is solved, thereby improving design efficiency and quality and reducing costs.
Patent Information
- Application Number
- CN202511417164.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-29
- Publication Date
- 2026-02-17
AI Technical Summary
In vehicle aerodynamic performance design, improving the flow separation areas at surfaces such as the front bumper side and A-pillar is difficult, which can easily lead to design failure and waste of resources, affecting project progress and quality.
Based on computational fluid dynamics (CFD) simulation, the gradient of turbulent kinetic energy change in key turbulent separation regions is extracted, the turbulent separation boundary is identified, and the turbulent kinetic energy at the center point of the surface grid is calculated by interpolation to determine the turbulent separation problem region. An improvement scheme is then implemented according to the region type.
This reduced the occurrence of failed improvement plans and repeated modifications, lowered design and analysis costs, improved design efficiency and quality, and ensured the steady progress of the project.
Smart Images
Figure CN121543475A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of dynamics technology, and in particular to a method, apparatus, electronic device, and storage medium for turbulent separation and quantitative analysis. Background Technology
[0002] Taking vehicles as an example, in the process of designing the aerodynamic performance of passenger cars, how to improve the flow separation areas generated at the front bumper side, A-pillar and other surfaces is a key research and design focus.
[0003] However, due to the complex geometry and flow of vehicles in the aforementioned areas, formulating countermeasures is challenging and requires a high level of ability and experience from engineering personnel. It is easy for improvement plans to fail or be repeated due to insufficient capabilities of engineering designers, resulting in certain human resource costs, time costs, and waste of hardware and software resources. In severe cases, it can also affect the overall project design and schedule. Summary of the Invention
[0004] The purpose of this invention is to provide a method, apparatus, electronic device and storage medium for turbulent separation and quantitative analysis, which can at least reduce the number of times that improvement schemes fail and schemes are repeatedly modified, reduce design and analysis costs, facilitate the steady progress of the overall project design and cycle, and improve design efficiency and quality.
[0005] To address the aforementioned technical problems, in a first aspect, the present invention provides a turbulence separation and quantitative analysis method, comprising at least:
[0006] Based on computational fluid dynamics (CFD) simulations, the gradient of turbulent kinetic energy change in each key region of turbulent separation is extracted to identify the turbulent separation boundary;
[0007] Based on the surface grid within the key turbulence separation region, the turbulent kinetic energy at the center point of each surface grid is calculated by interpolation.
[0008] The surface mesh is traversed to compare the turbulent kinetic energy at each center point with the turbulent kinetic energy at the turbulent separation boundary, thereby determining the turbulent separation problem region;
[0009] Perform at least one turbulence separation scheme improvement based on the type of the turbulence separation problem area.
[0010] Optionally, after performing at least one turbulence separation scheme improvement based on the type of the turbulence separation problem region, the method further includes at least:
[0011] Determine the maximum value of the first turbulent kinetic energy of all the surface meshes under the basic turbulent separation scheme, and the maximum value of the second turbulent kinetic energy of all the surface meshes under each improved turbulent separation scheme;
[0012] The improvement effect of the corresponding turbulence separation improvement scheme is determined based on the first maximum turbulence kinetic energy and each of the second maximum turbulence kinetic energy values, and an improvement report is output to at least determine whether further turbulence separation scheme improvement is needed.
[0013] Optionally, the step of extracting the turbulent kinetic energy change gradient of each key turbulent separation region based on computational fluid dynamics (CFD) simulation to identify the turbulent separation boundary includes at least:
[0014] The simulation results of the three-dimensional flow field under test are obtained through CFD simulation.
[0015] Based on the simulation results of the three-dimensional flow field to be measured, the turbulent kinetic energy change gradient of each key region of turbulence separation is extracted to identify the turbulence separation boundary.
[0016] Optionally, the step of extracting the turbulent kinetic energy change gradient of each of the key turbulence separation regions based on the simulation results of the three-dimensional flow field to be measured, in order to identify the turbulence separation boundary, includes at least:
[0017] Based on the simulation results of the three-dimensional flow field to be measured, a surface detection function and a turbulent kinetic energy field function are created for each of the key turbulence separation regions.
[0018] A function correlation operation is performed on the surface detection function and the turbulent kinetic energy field function of each of the aforementioned key turbulence separation regions to form a correlation function for each of the aforementioned key turbulence separation regions;
[0019] After the CFD simulation calculation is completed, the correlation function calculation results of each of the key turbulence separation regions are read to obtain the point coordinate set of each of the surface meshes of the corresponding key turbulence separation region when the CFD simulation is performed, as well as the turbulent kinetic energy value at the corresponding point coordinates;
[0020] Based on the point coordinate set of each surface grid in the corresponding turbulent separation key region, and the turbulent kinetic energy value at the corresponding point coordinate, the turbulent kinetic energy change gradient of the corresponding turbulent separation key region is calculated by interpolation;
[0021] The gradient critical value of each turbulent separation key region is determined according to the preset gradient mutation rule, and then the turbulent separation boundary that matches the corresponding turbulent separation key region is identified based on the gradient critical value and the turbulent kinetic energy change gradient.
[0022] Optionally, performing at least one turbulence separation scheme improvement based on the type of the turbulence separation problem region includes at least:
[0023] If the turbulence separation problem region is an upstream problem region, then at least one turbulence separation scheme improvement shall be performed by increasing the local curvature radius of the surface.
[0024] If the turbulence separation problem region is a downstream problem region, then at least one turbulence separation scheme improvement shall be performed by expanding the profile position and / or increasing the profile size.
[0025] Optionally, the turbulence separation quantification analysis method is applicable at least to vehicles.
[0026] Optionally, when the turbulence separation quantification analysis method is applied to a vehicle, the key turbulence separation region includes at least one of the outer region of the vehicle's front bumper and the region surrounding the vehicle's A-pillar.
[0027] Based on the same concept, in a second aspect, the present invention also provides a turbulence separation and quantification analysis apparatus for performing the turbulence separation and quantification analysis method described in any one of the first aspects;
[0028] The turbulence separation and quantification analysis device includes at least:
[0029] The boundary identification module is used to extract the turbulent kinetic energy change gradient of each key turbulent separation region based on computational fluid dynamics (CFD) simulation, in order to identify the turbulent separation boundary;
[0030] The turbulent kinetic energy calculation module is used to calculate the turbulent kinetic energy at the center point of each of the surface grids in the key region of turbulent separation by interpolation.
[0031] The region determination module is used to traverse the surface mesh to compare the turbulent kinetic energy of each center point with the turbulent kinetic energy of the turbulent separation boundary, thereby determining the turbulent separation problem region;
[0032] The scheme improvement module is used to perform at least one turbulence separation scheme improvement based on the type of the turbulence separation problem region.
[0033] Based on the same concept, in a third aspect, the present invention also provides an electronic device, including a memory and a processor, the memory storing a computer program executable on the processor, the processor executing the program to implement the steps in the turbulence separation quantification analysis method of any one of the first aspects.
[0034] Based on the same concept, in a fourth aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the turbulence separation and quantification analysis method described in any one of the first aspects.
[0035] The technical solution provided by this invention first extracts the turbulent kinetic energy change gradient of each key turbulent separation region based on computational fluid dynamics (CFD) simulation to identify the turbulent separation boundary. Further, based on the surface mesh within the key turbulent separation region, the turbulent kinetic energy at the center point of each surface mesh is calculated through interpolation. Further still, the surface mesh is traversed to compare the turbulent kinetic energy values at each center point with those at the turbulent separation boundary, thereby determining the turbulent separation problem region. Finally, at least one turbulent separation scheme improvement is performed according to the type of the turbulent separation problem region. Therefore, this invention provides engineering designers with at least one standard process for quantitative analysis of flow separation zones based on turbulent kinetic energy, which can reduce the frequency of improved scheme failures and repeated scheme modifications, lower design analysis costs, facilitate the steady progress of the overall project design and cycle, and improve design efficiency and quality. Attached Figure Description
[0036] Figure 1 This is a flowchart of a turbulence separation and quantitative analysis method provided in an embodiment of the present invention;
[0037] Figure 2 This is a flowchart of another turbulence separation and quantitative analysis method provided in an embodiment of the present invention;
[0038] Figure 3 This is a schematic diagram of the structure of a turbulence separation and quantification analysis device provided in an embodiment of the present invention;
[0039] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation
[0040] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0041] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.
[0042] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.
[0043] It should be understood that although the terms first, second, third, etc., may be used in the embodiments of this application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, first may also be referred to as second without departing from the scope of the embodiments of this application, and similarly, second may also be referred to as first.
[0044] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”
[0045] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.
[0046] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.
[0047] Figure 1 This is a flowchart of a turbulence separation and quantification analysis method provided by an embodiment of the present invention. This embodiment is applicable to turbulence separation and analysis scenarios for at least various types of vehicles, such as vehicles, ships, and aircraft. The turbulence separation and quantification analysis method can be, but is not limited to, executed by the turbulence separation and quantification analysis device in this embodiment of the present invention. This execution entity can be implemented in software and / or hardware. Figure 1 As shown, this turbulence separation and quantification analysis method includes at least the following steps:
[0048] S1. Based on computational fluid dynamics (CFD) simulation, extract the turbulent kinetic energy change gradient of each key turbulent separation region to identify the turbulent separation boundary.
[0049] Depending on the type of vehicle, the critical area for turbulent separation can refer to a specific component area of that vehicle. For example, when the vehicle is a vehicle, the critical area for turbulent separation can refer to vehicle-specific component areas such as the outer side of the front bumper and the area around the A-pillar, where airflow separation easily occurs, leading to increased vehicle drag. Correspondingly, the turbulent separation boundary can refer to the boundary of the area where the vehicle separates from the airflow. It is understandable that during the initial vehicle development phase, designers expect air to flow smoothly along the vehicle body while the vehicle is in motion, rather than separating from it, because turbulent separation indicates increased vehicle drag and suggests a problem with the vehicle design.
[0050] Based on this, in one specific implementation, the turbulence separation quantification analysis method is optionally applicable to vehicles; when the turbulence separation quantification analysis method is applicable to vehicles, the key turbulence separation region includes at least one of the outer region of the vehicle's front bumper and the region surrounding the vehicle's A-pillar.
[0051] Furthermore, when the vehicle is a ship, the critical area for turbulent separation can refer to specific component areas such as the bottom plating where water flow separation easily occurs, leading to increased water resistance; or it can refer to specific component areas such as the side plating and top plating where airflow separation easily occurs, leading to increased wind resistance. Adaptively, the turbulent separation boundary in this case can refer to the boundary of the area where the ship separates from the water flow and / or airflow. Of course, the vehicle can also be an aircraft, drone, etc., which will not be elaborated further.
[0052] Continuing with the vehicle example, it can be seen that the turbulent kinetic energy gradient can refer to the kinetic energy gradient distribution of air turbulence. Typically, at the point of airflow separation, the turbulent kinetic energy gradient undergoes abrupt changes. By identifying the points of these gradient abrupt changes, the boundary of the turbulent separation region (i.e., the aforementioned turbulent separation boundary) can be determined by connecting these points.
[0053] S2. Based on the surface mesh in the key region of turbulence separation, the turbulent kinetic energy at the center point of each surface mesh is calculated by interpolation.
[0054] S3. Traverse the surface mesh to compare the turbulent kinetic energy at each center point with the turbulent kinetic energy at the turbulent separation boundary, thereby determining the turbulent separation problem region.
[0055] Continuing with the example of a vehicle, steps S2 to S3 can be specifically described as follows:
[0056] By traversing the surface of the vehicle's CFD simulation model within the critical region of turbulent separation, the turbulent kinetic energy values at the center points of each surface are calculated through interpolation (i.e., the aforementioned center point turbulent kinetic energy). It can be understood that the center point of the surface can be the center point of each grid after discretizing the actual vehicle surface data into grids (e.g., triangular grids) for CFD calculation. During calculation, the turbulent kinetic energy of multiple vertices of each grid can be obtained, and then the turbulent kinetic energy of each grid vertex can be interpolated towards the center to obtain the turbulent kinetic energy of the center point of each grid. This value is compared with the turbulent kinetic energy values at the location where turbulent separation occurs (i.e., the aforementioned turbulent kinetic energy values at the turbulent separation boundary). This allows determination of whether the center point of the surface is located in a high turbulent kinetic energy region. After traversal, a high turbulent kinetic energy isosurface is formed, and the region within this isosurface is the aforementioned turbulent separation problem area.
[0057] S4. Implement at least one turbulence separation scheme improvement based on the type of the turbulence separation problem area.
[0058] The types of turbulent separation problem regions can include at least the upstream region and the downstream region of the turbulent separation boundary. Continuing with the vehicle example, upstream and downstream here refer to the relative relationship between the vehicle surface and the location where airflow separation occurs. The direction can be from the front of the vehicle backwards, with the location where airflow separation occurs as the boundary; the side facing the front of the vehicle is upstream, and the side facing the rear of the vehicle is downstream.
[0059] In another specific implementation, optionally, the aforementioned step S4 includes at least:
[0060] (4-1) If the type of the turbulence separation problem region is the upstream problem region (corresponding to the upstream region of the aforementioned turbulence separation boundary), then at least one turbulence separation scheme improvement shall be performed by increasing the local curvature radius of the surface.
[0061] (4-2) If the type of the turbulence separation problem region is the downstream problem region (corresponding to the downstream region of the aforementioned turbulence separation boundary), then at least one turbulence separation scheme improvement shall be performed by expanding the profile position and / or increasing the profile size.
[0062] It is understandable that, in another specific implementation, the turbulence separation scheme can be improved by adding components such as guide strips, guide plates, and guide shrouds to the turbulence separation problem area. The specific addition method is at least related to the upstream and downstream location of the problem area.
[0063] The technical solution provided in this embodiment first extracts the turbulent kinetic energy change gradient of each key turbulent separation region based on computational fluid dynamics (CFD) simulation to identify the turbulent separation boundary. Further, based on the surface mesh within the key turbulent separation region, the turbulent kinetic energy at the center point of each surface mesh is calculated through interpolation. Further still, the surface mesh is traversed to compare the turbulent kinetic energy values at each center point with those at the turbulent separation boundary, thereby determining the turbulent separation problem region. Finally, at least one turbulent separation scheme improvement is performed according to the type of the turbulent separation problem region. Therefore, this embodiment can provide engineering designers with at least one standard process for quantitative analysis of flow separation zones based on turbulent kinetic energy, which can reduce the frequency of improved scheme failures and repeated scheme modifications, lower design analysis costs, facilitate the steady progress of the overall project design and cycle, and improve design efficiency and quality.
[0064] Based on the above embodiments or implementation methods, the specific identification process of turbulent separation boundaries and how to evaluate the improvement effect of turbulent separation improvement schemes will be described below, but this does not constitute a limitation on the present invention.
[0065] In yet another specific implementation, optionally, after performing at least one turbulence separation scheme improvement based on the type of the turbulence separation problem region, the method further includes at least:
[0066] Determine the maximum value of the first turbulent kinetic energy of all surface meshes under the basic turbulent separation scheme, and the maximum value of the second turbulent kinetic energy of all surface meshes under each improved turbulent separation scheme;
[0067] The improvement effect of the corresponding turbulence separation improvement scheme is determined based on the first maximum turbulence kinetic energy and each second maximum turbulence kinetic energy, and an improvement report is output to at least determine whether further turbulence separation scheme improvement is needed.
[0068] In another specific implementation, optionally, the turbulent kinetic energy change gradient of each critical turbulence separation region is extracted based on computational fluid dynamics (CFD) simulation to identify the turbulence separation boundary, including at least:
[0069] The simulation results of the three-dimensional flow field under test are obtained through CFD simulation.
[0070] Based on the simulation results of the three-dimensional flow field under test, the turbulent kinetic energy change gradient of each key turbulent separation region is extracted to identify the turbulent separation boundary.
[0071] In another specific implementation, optionally, the turbulent kinetic energy change gradient of each key turbulence separation region is extracted based on the simulation results of the three-dimensional flow field to be measured, in order to identify the turbulence separation boundary, including at least:
[0072] Based on the simulation results of the three-dimensional flow field to be measured, surface detection functions and turbulent kinetic energy field functions are created for each key region of turbulence separation.
[0073] Perform a function correlation operation on the surface detection function and turbulent kinetic energy field function of each critical region of turbulence separation to form the correlation function of each critical region of turbulence separation;
[0074] After the CFD simulation is completed, the correlation function calculation results of each turbulence separation key region are read to obtain the point coordinate set of each surface mesh of the corresponding turbulence separation key region when the CFD simulation is performed, as well as the turbulence kinetic energy value at the corresponding point coordinates.
[0075] Based on the point coordinate set of each surface grid in the corresponding turbulent separation key region, and the turbulent kinetic energy value at the corresponding point coordinate, the turbulent kinetic energy change gradient of the corresponding turbulent separation key region is calculated by interpolation;
[0076] The gradient critical value of each turbulent separation key region is determined according to the preset gradient mutation rule, and then the turbulent separation boundary that matches the corresponding turbulent separation key region is identified based on the gradient critical value and the gradient of turbulent kinetic energy change.
[0077] Based on this Figure 2 This is a flowchart of another turbulence separation and quantification analysis method provided in an embodiment of the present invention, such as... Figure 2 As shown, this turbulence separation and quantification analysis method includes at least the following steps:
[0078] S101. Obtain the simulation results of the three-dimensional flow field under test through CFD simulation.
[0079] S102. Based on the simulation results of the three-dimensional flow field to be measured, create the surface detection function and turbulent kinetic energy field function for each key region of turbulent separation.
[0080] S103. Perform a function correlation operation on the surface detection function and turbulent kinetic energy field function of each turbulence separation key region to form the correlation function of each turbulence separation key region.
[0081] S104. After the CFD simulation is completed, read the correlation function calculation results of each turbulent separation key region to obtain the point coordinate set of each surface mesh of the corresponding turbulent separation key region when performing CFD simulation, as well as the turbulent kinetic energy value at the corresponding point coordinate.
[0082] S105. Based on the point coordinate set of each surface grid in the corresponding turbulent separation key region and the turbulent kinetic energy value at the corresponding point coordinate, the turbulent kinetic energy change gradient of the corresponding turbulent separation key region is calculated by interpolation.
[0083] S106. Determine the gradient critical value of each turbulent separation key region according to the preset gradient mutation rule, and then identify the turbulent separation boundary that matches the corresponding turbulent separation key region based on the gradient critical value and the gradient of turbulent kinetic energy change.
[0084] Continuing with the vehicle as an example, steps S101 to S106 can be specifically described as follows: Obtaining the velocity field around the vehicle, the pressure field on the vehicle surface, the overall vehicle drag coefficient, and the force parameters of various vehicle components through CFD simulation to obtain the three-dimensional flow field simulation results. The physical field results obtained from the simulation calculation are processed to extract the turbulent kinetic energy and the x-direction value of the change gradient of the physical field in key areas prone to airflow separation and increased vehicle drag, such as the outer side of the front bumper and the area around the A-pillar. These key areas can be pre-defined according to best practices for automotive aerodynamic simulation analysis. By extracting the physical field information of the key areas, a separation judgment function can be constructed, specifically including:
[0085] (1) After completing the creation of the key area, set it as the monitoring area of turbulent kinetic energy, and use simulation software to create surface monitoring functions, such as the surface detection function of the aforementioned column A area;
[0086] (2) Continue to create a field function in the simulation software. The function output is turbulent kinetic energy, and associate the turbulent kinetic energy field function with the surface monitoring function of column A;
[0087] (3) After completing the CFD simulation calculation, read the results of the aforementioned function to obtain the coordinates of the grid points in the A column region for simulation calculation and the value of the turbulent kinetic energy at those coordinates;
[0088] (4) Process the data of each point in the region and use the interpolation method to calculate the gradient of the turbulent kinetic energy physical field in the region surrounding column A;
[0089] (5) At the point of airflow separation, the gradient of turbulent kinetic energy will change abruptly. The separation line can be identified by the critical value of the gradient. The boundary of the separation region can be determined according to the critical value given by the judgment method.
[0090] S2. Based on the surface mesh in the key region of turbulence separation, the turbulent kinetic energy at the center point of each surface mesh is calculated by interpolation.
[0091] S3. Traverse the surface mesh to compare the turbulent kinetic energy at each center point with the turbulent kinetic energy at the turbulent separation boundary, thereby determining the turbulent separation problem region.
[0092] S4. Implement at least one turbulence separation scheme improvement based on the type of the turbulence separation problem area.
[0093] S5. Determine the maximum value of the first turbulent kinetic energy of all surface meshes under the basic turbulent separation scheme, and the maximum value of the second turbulent kinetic energy of all surface meshes under each improved turbulent separation scheme.
[0094] S6. Determine the improvement effect of the corresponding turbulence separation improvement scheme based on the first maximum turbulence kinetic energy and each second maximum turbulence kinetic energy, and output the scheme improvement report to at least determine whether further turbulence separation scheme improvement is needed.
[0095] Continuing with the example of a vehicle, steps S5 to S6 can be described as follows:
[0096] The effectiveness of each scheme in reducing the separation zone is evaluated by comparing the turbulent kinetic energy of the original scheme (i.e., the aforementioned basic turbulent separation scheme) and the improved scheme (i.e., the aforementioned improved turbulent separation scheme). The evaluation can be graded according to the degree of change, and the grading criteria are as follows, which can be adjusted appropriately according to the characteristics of the vehicle model:
[0097] (1) Good: Define the change as the difference between the maximum turbulent kinetic energy of the basic scheme and the improved scheme (for example, it can refer to the maximum value of turbulent kinetic energy in the turbulent separation area of the vehicle under the simulation calculation condition, such as 120km / h; more specifically, it can refer to the maximum value of turbulent kinetic energy at the center point of all surface meshes), calculate the percentage reduction of the maximum turbulent kinetic energy, and evaluate the improvement effect based on the percentage reduction. If the change is greater than 30%, it indicates that the separation area has been significantly improved and the scheme is effective.
[0098] (2) General: The change is between 15% and 30%, which indicates that the separation area has been improved to a certain extent. Evaluate the overall vehicle effect and determine whether further improvement is needed.
[0099] (3) Poor: The change is less than 15%, and the flow structure in the separation zone has not changed significantly. Further improvements and optimizations to the scheme are necessary.
[0100] In summary, this embodiment can provide engineering designers with at least a standard process for quantitative analysis of flow separation zones based on turbulent kinetic energy. This can reduce the number of times improvement schemes fail and schemes are repeatedly modified, lower design and analysis costs, facilitate the steady progress of the overall project design and cycle, and improve design efficiency and quality.
[0101] Figure 3 This is a schematic diagram of a turbulence separation and quantification analysis device provided in an embodiment of the present invention. This embodiment is applicable to turbulence separation analysis scenarios for at least various types of vehicles, such as vehicles, ships, and aircraft. This turbulence separation and quantification analysis device can be implemented using software and / or hardware. Figure 3As shown, the turbulence separation and quantification analysis device is used to perform the turbulence separation and quantification analysis method described in any of the foregoing embodiments or implementations.
[0102] A turbulent separation and quantification analysis device shall include at least:
[0103] The boundary identification module 110 is used to extract the turbulent kinetic energy change gradient of each key turbulent separation region based on computational fluid dynamics (CFD) simulation, so as to identify the turbulent separation boundary.
[0104] The turbulent kinetic energy calculation module 120 is used to calculate the turbulent kinetic energy at the center point of each surface grid based on the surface grid in the key region of turbulent separation by interpolation.
[0105] The region determination module 130 is used to traverse the surface mesh to compare the turbulent kinetic energy at each center point with the turbulent kinetic energy values at the turbulent separation boundary, thereby determining the turbulent separation problem region;
[0106] The scheme improvement module 140 is used to perform at least one turbulence separation scheme improvement based on the type of the turbulence separation problem area.
[0107] Optionally, it may also include at least a scheme evaluation module 150, which is specifically used for at least:
[0108] Determine the maximum value of the first turbulent kinetic energy of all surface meshes under the basic turbulent separation scheme, and the maximum value of the second turbulent kinetic energy of all surface meshes under each improved turbulent separation scheme; determine the improvement effect of the corresponding improved turbulent separation scheme based on the maximum value of the first turbulent kinetic energy and each maximum value of the second turbulent kinetic energy, and output a scheme improvement report, so as to at least determine whether further improvement of the turbulent separation scheme is needed.
[0109] Optionally, the boundary recognition module 110 is specifically used for at least:
[0110] The simulation results of the three-dimensional flow field under test are obtained by CFD simulation; the turbulent kinetic energy change gradient of each key turbulent separation region is extracted based on the simulation results of the three-dimensional flow field under test to identify the turbulent separation boundary.
[0111] Optionally, the boundary recognition module 110 is further specifically used for at least:
[0112] Based on the simulation results of the three-dimensional flow field to be measured, a surface detection function and a turbulent kinetic energy field function are created for each key turbulent separation region. A function correlation operation is performed on the surface detection function and turbulent kinetic energy field function of each key turbulent separation region to form a correlation function for each key turbulent separation region. After the CFD simulation is completed, the calculation results of the correlation function for each key turbulent separation region are read to obtain the point coordinate set of each surface mesh and the turbulent kinetic energy value at the corresponding point coordinates during the CFD simulation. Based on the point coordinate set of each surface mesh and the turbulent kinetic energy value at the corresponding point coordinates within the key turbulent separation region, the turbulent kinetic energy change gradient of the corresponding key turbulent separation region is calculated by interpolation. The gradient critical value of each key turbulent separation region is determined according to a preset gradient abrupt change rule, and then the turbulent separation boundary adapted to the corresponding key turbulent separation region is identified based on the gradient critical value and the turbulent kinetic energy change gradient.
[0113] Optionally, the solution improvement module 140 is specifically used for at least:
[0114] When the turbulence separation problem region is an upstream problem region, at least one turbulence separation scheme improvement shall be performed by increasing the local curvature radius of the profile; when the turbulence separation problem region is a downstream problem region, at least one turbulence separation scheme improvement shall be performed by expanding the profile position and / or increasing the profile size.
[0115] Optionally, the turbulence separation quantification analysis method is applicable at least to vehicles.
[0116] Optionally, when the turbulence separation quantification analysis method is applied to a vehicle, the key turbulence separation region includes at least one of the outer region of the vehicle's front bumper and the region surrounding the vehicle's A-pillar.
[0117] The technical solution provided in this embodiment firstly extracts the turbulent kinetic energy change gradient of each key turbulent separation region based on computational fluid dynamics (CFD) simulation using a boundary identification module to identify the turbulent separation boundary. Further, a turbulent kinetic energy calculation module calculates the turbulent kinetic energy at the center point of each surface mesh within the key turbulent separation region through interpolation. Further still, a region determination module traverses the surface mesh to compare the turbulent kinetic energy values at each center point with those at the turbulent separation boundary, thereby determining the turbulent separation problem region. Finally, a scheme improvement module performs at least one turbulent separation scheme improvement based on the type of the turbulent separation problem region. Therefore, this embodiment can provide engineering designers with at least one standard process for quantitative analysis of flow separation zones based on turbulent kinetic energy, reducing the frequency of improved scheme failures and repeated scheme modifications, lowering design analysis costs, facilitating the steady progress of the overall project design and cycle, and improving design efficiency and quality.
[0118] This embodiment provides an electronic device. Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. See also: Figure 4 The electronic device 1000 includes a processor 1001 and a memory 1002. The memory 1002 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 1001, the steps in any of the above-mentioned turbulence separation quantification analysis methods are performed. Through the above technical solution, the processor 1001 and the memory 1002 are interconnected and communicate with each other through a communication bus and / or other forms of connection mechanism (not shown). The memory 1002 stores a computer program that can be executed by the processor. When the electronic device 1000 is running, the processor 1001 executes the computer program to execute the turbulence separation quantitative analysis method in any optional implementation of the above embodiments, so as to achieve at least the following functions: extracting the turbulence kinetic energy change gradient of each turbulence separation key region based on computational fluid dynamics (CFD) simulation to identify the turbulence separation boundary; calculating the turbulence kinetic energy at the center point of each surface mesh based on the surface mesh in the turbulence separation key region by interpolation; traversing the surface mesh to compare the turbulence kinetic energy at each center point with the turbulence kinetic energy value of the turbulence separation boundary, thereby determining the turbulence separation problem region; and performing at least one turbulence separation scheme improvement according to the type of turbulence separation problem region.
[0119] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the turbulence separation quantitative analysis method provided in all embodiments of this application: extracting the turbulent kinetic energy change gradient of each key turbulence separation region based on computational fluid dynamics (CFD) simulation to identify the turbulence separation boundary; calculating the turbulence kinetic energy at the center point of each surface mesh based on the surface mesh within the key turbulence separation region through interpolation; traversing the surface mesh to compare the turbulence kinetic energy at each center point with the turbulence kinetic energy value of the turbulence separation boundary, thereby determining the turbulence separation problem region; and performing at least one turbulence separation scheme improvement according to the type of the turbulence separation problem region.
[0120] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.
[0121] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including—but not limited to—electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of transmitting, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.
[0122] The program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.
[0123] Computer program code for performing the operations of this invention can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, as well as conventional procedural programming languages such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions 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 of quantifying analysis of turbulence separation, characterized by, At least comprising: On the basis of computational fluid dynamics (CFD) simulation, extract the turbulent kinetic energy variation gradient of each turbulent flow separation key area to identify the turbulent flow separation boundary; Based on the surface grid in the turbulent flow separation key area, calculate the center point turbulent kinetic energy of each surface grid by interpolation; Traverse the surface grid to compare the center point turbulent kinetic energy of each surface grid with the turbulent kinetic energy value of the turbulent flow separation boundary, and determine the turbulent flow separation problem area; According to the type of the turbulent flow separation problem area, perform at least one turbulent flow separation scheme improvement.
2. The method of turbulent flow separation quantification analysis according to claim 1, wherein, After the at least one turbulent flow separation scheme improvement according to the type of the turbulent flow separation problem area, at least further comprising: Determine the first maximum turbulent kinetic energy of all surface grids under the turbulent flow separation basic scheme, and the second maximum turbulent kinetic energy of all surface grids under each turbulent flow separation improvement scheme; According to the first maximum turbulent kinetic energy and each second maximum turbulent kinetic energy, determine the improvement effect of the corresponding turbulent flow separation improvement scheme, and output a scheme improvement report to at least determine whether further turbulent flow separation scheme improvement is needed.
3. The method of turbulent separation quantification analysis according to claim 1, wherein, The turbulent flow separation boundary is identified by extracting the turbulent kinetic energy variation gradient of each turbulent flow separation key area based on computational fluid dynamics (CFD) simulation, at least comprising: Obtain the simulation result of the three-dimensional flow field to be tested by CFD simulation; Based on the simulation result of the three-dimensional flow field to be tested, extract the turbulent kinetic energy variation gradient of each turbulent flow separation key area to identify the turbulent flow separation boundary.
4. The method of turbulent separation quantification analysis according to claim 3, wherein, The turbulent flow separation boundary is identified by extracting the turbulent kinetic energy variation gradient of each turbulent flow separation key area based on the simulation result of the three-dimensional flow field to be tested, at least comprising: Based on the simulation result of the three-dimensional flow field to be tested, create a surface detection function and a turbulent kinetic energy field function for each turbulent flow separation key area; Perform a function association operation on the surface detection function and the turbulent kinetic energy field function of each turbulent flow separation key area to form an associated function of each turbulent flow separation key area; After the CFD simulation is completed, read the calculation result of the associated function of each turbulent flow separation key area to obtain the point coordinate set of each surface grid in the corresponding turbulent flow separation key area when the CFD simulation is performed, and the turbulent kinetic energy value at the corresponding point coordinates; Based on the point coordinate set of each surface grid in the corresponding turbulent flow separation key area and the turbulent kinetic energy value at the corresponding point coordinates, calculate the turbulent kinetic energy variation gradient of the corresponding turbulent flow separation key area by interpolation; Determine the gradient critical value of each turbulent flow separation key area according to a preset gradient mutation rule, and then identify the turbulent flow separation boundary matched with the corresponding turbulent flow separation key area based on the gradient critical value and the turbulent kinetic energy variation gradient.
5. The method of turbulent separation quantification analysis according to claim 1, wherein, The at least one turbulent flow separation scheme improvement according to the type of the turbulent flow separation problem area, at least comprising: If the type of the turbulent flow separation problem area is an upstream problem area, at least one turbulent flow separation scheme improvement is performed by increasing the local curvature radius of the surface. If the type of the turbulent flow separation problem region is a downstream problem region, at least one turbulent flow separation scheme improvement is performed by at least one of an outer expansion of the profile position and / or an increase of the profile size.
6. The method of turbulent separation quantification analysis according to claim 1, wherein, The turbulent flow separation quantification analysis method is applicable to at least a vehicle.
7. The method of turbulent separation quantification analysis according to claim 6, wherein, When the turbulent flow separation quantification analysis method is applicable to a vehicle, the turbulent flow separation critical region at least includes one of a vehicle front bumper outer side region and a vehicle A-pillar peripheral region.
8. A turbulent flow separation quantification analysis device, characterized by, A computer program product for implementing the turbulent flow separation quantification analysis method of any one of claims 1-7. The turbulent flow separation quantification analysis device at least includes: a boundary identification module configured to extract a turbulent kinetic energy variation gradient of each turbulent flow separation critical region based on a computational fluid dynamics (CFD) simulation to identify a turbulent flow separation boundary; a turbulent kinetic energy calculation module configured to calculate a center point turbulent kinetic energy of each profile grid based on the profile grid within the turbulent flow separation critical region by interpolation; a region determination module configured to traverse the profile grid to compare the center point turbulent kinetic energy of each profile grid with a turbulent kinetic energy value of the turbulent flow separation boundary to determine a turbulent flow separation problem region; a scheme improvement module configured to perform at least one turbulent flow separation scheme improvement according to a type of the turbulent flow separation problem region.
9. An electronic device comprising a memory and a processor, said memory storing a computer program operable on said processor, characterized in that, The processor implements the steps of the turbulent flow separation quantification analysis method of any one of claims 1-7 when executing the program.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program product implements the steps of the turbulent flow separation quantification analysis method of any one of claims 1-7 when executed by the processor.