Air-bridge simulation analysis method of parameterized model, electronic device and storage medium
By using a parametric model-based air bridge simulation analysis method, the problem of air pipeline stiffness interference was solved, enabling rapid optimization and efficient design of air bridge performance, and improving the accuracy and efficiency of wind tunnel testing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- AVIC SHENYANG AERODYNAMICS RES INST
- Filing Date
- 2023-07-18
- Publication Date
- 2026-07-24
AI Technical Summary
In dynamic simulation wind tunnel tests, the stiffness of the air supply pipeline affects the accuracy of the force measurement system. Traditional optimization methods are time-consuming and costly, making it difficult to optimize the air bridge structure to meet the stiffness and strength requirements.
The parametric model-based air bridge simulation analysis method achieves automated evaluation and optimization of air bridge performance by setting air bridge simulation model parameters, effectiveness testing, constructing a parametric model, applying wind tunnel test load parameters, performing parameter sensitivity analysis and response surface optimization.
It enables rapid and convenient evaluation and optimization of air bridge performance, reduces interference from air pipelines to the force measurement system, improves test accuracy and efficiency, and reduces design cycle and cost.
Smart Images
Figure CN116894362B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of wind tunnel test design technology, specifically involving a parametric model air bridge simulation analysis method, electronic equipment, and storage medium. Background Technology
[0002] In dynamic simulation wind tunnel tests, high-pressure driving gas needs to be introduced externally to simulate the gas injection state during engine operation. Introducing gas means connecting pipelines to the model. In a normal force measurement system, the load transmission path must be solely through the system. However, the presence of the air supply pipeline adds another transmission path, causing a portion of the model's load to be transmitted through the pipeline. This interferes with the force measurement system, the amount of which depends on the stiffness ratio of the air bridge to the balance. For high-precision tests, minimizing interference is crucial. Therefore, reducing the stiffness of the air supply pipeline and minimizing its interference with the model's balance force measurement results is a critical technical problem. One solution is to install an air bridge on the high-pressure air supply pipeline. Essentially, the air bridge is a specially designed pipeline with its stiffness adjusted to a very low level while maintaining strength. When its stiffness is significantly lower than the balance's, below the system's measurement error, the interference from the air supply pipeline can be ignored. As discussed above, the performance of the air bridge is a critical factor affecting the success of the test. Therefore, the key and difficult point in the design of air bridge and balance is stiffness matching. However, the balance design is limited by design conditions such as accuracy and sensitivity, and its stiffness can only be increased in a limited way. Therefore, the focus of adjustment is on optimizing the air bridge structure and reducing its stiffness as much as possible.
[0003] Traditional methods mainly optimize the structure of air bridges through trial and error. However, trial and error requires repeated modeling, analysis, loading, and analysis. In addition, there are too many factors affecting air bridges and many points that need to be tried. Therefore, traditional methods have the problems of long cycle and high cost. Moreover, the optimization results are usually not ideal and it is difficult to achieve the goal of the air bridge affecting the semi-mode balance measurement value by less than 3‰.
[0004] The main challenge in air bridge design lies in the conflicting requirements for stiffness and strength. On one hand, stiffness must be met—the air bridge must be flexible enough to avoid significant interference with force-measuring components. On the other hand, strength is crucial; with high-pressure gas passing through at high speeds, the air bridge must possess sufficient strength to ensure safety. This conflicting design requirement leads to the goal of optimization through multiple experimental schemes. While finite element method (FEM) simulations can verify the performance of air bridges and provide a relatively complete evaluation of a specific scheme, optimizing an air bridge requires evaluating a vast number of alternatives. Variations in parameters such as the geometry of the flexible joint, the bellows, and the layout position can result in an enormous number of candidate solutions. A simple trial-and-error approach is unlikely to find the optimal solution among these numerous options. Summary of the Invention
[0005] The problem this invention aims to solve is to provide an easy-to-operate and computationally simple air bridge simulation analysis method, and proposes a parameterized model air bridge simulation analysis method, electronic equipment, and storage medium.
[0006] To achieve the above objectives, the present invention provides the following technical solution: A method for simulating and analyzing air bridges using a parametric model, comprising the following steps: S1. Set the parameters of the air bridge simulation model based on the L-shaped air bridge, including the overall layout parameters of the air bridge simulation model and the local dimension parameters of the air bridge simulation model; S2. Validate the parameters of the air bridge simulation model set in step S1. S3. Based on the air bridge simulation model parameters that have undergone validity testing in step S2, construct a parameterized air bridge simulation model; S4. Based on the parameterized air bridge simulation model constructed in step S3, load the wind tunnel test load parameters, perform verification analysis of the parameterized air bridge simulation model, and obtain the parameterized air bridge simulation model loaded with wind tunnel test load parameters. S5. For the parameterized air bridge simulation model of the wind tunnel test load parameters in step S4, extract the sensitive parameters using the parameter sensitivity analysis method to obtain a list of sensitive parameters; S6. Input the list of sensitive parameters obtained in step S5 into the parameterized air bridge simulation model for screening. Perform simulation analysis on the screened parameterized air bridge simulation model and optimize it using the response surface optimization method.
[0007] Furthermore, the specific implementation method of step S1 includes the following steps: S1.1 Set the air bridge as an L-shaped air bridge, with the long arm of the air bridge as the X-axis and the short arm of the air bridge as the Y-axis. The air bridge is equipped with flexible joints, the center of which coincides with the axis of the air bridge. The flexible joints are arranged as follows: the first flexible joint and the second flexible joint are set on the long arm of the air bridge, and the third flexible joint is set on the short arm of the air bridge. S1.2. Set the overall layout parameters of the air bridge simulation model, including the length of the long arm of the air bridge. The short arm length of the air bridge is The radius of the corner of the air bridge is R, and the distance between the first flexible section and the origin is set to... The distance between the second flexible section and the origin is The distance between the third flexible section and the origin is The first flexible section, the second flexible section, and the third flexible section have the same dimensions; S1.3. Set the local dimensional parameters of the air bridge simulation model, including setting the total length of the flexible section to... The inner diameter of the flexible joint is set to The outer diameter of the flexible joint is set to The width of the noise reduction beam is set to The length of the disturbance reduction beam is set to The thickness of the disturbance-eliminating beam is set to Thickness of the disturbance-reducing beam Set as The bellows flange thickness is set to B, the total bellows length is set to L, and the effective corrugation length is set to... The corrugated pipe thickness is set to Zh, and the inner radius of the corrugated pipe is set to... The outer radius of the bellows is set to D, the bellows pitch is set to t, the single-bellows distance is set to a, and the bellows transition radius is set to... The bellows radius is set to... .
[0008] Furthermore, the specific implementation method of step S2 includes the following steps: S2.1 Validation of Overall Layout Parameters of Air Bridge Simulation Model: The location of the flexible joint is checked within the air bridge piping area. For the flexible joint installed on the long arm of the air bridge, the calculation expression is: ; ; For the flexible joint installed on the short arm of the air bridge, the calculation expression is: ; S2.2 Validation of local dimensional parameters of the air bridge simulation model: S2.2.1 If the number of corrugations in the bellows is even, the calculation expression is: ; Where n is a positive integer; S2.2.2 If the effective corrugation length of the corrugated pipe is less than the total length of the corrugated pipe, the calculation expression is: ; S2.2.3. Check the gap between the upper and lower corrugated coils of the bellows; it should be at least 2mm. The calculation formula is: ; S2.2.4. If the thickness of the bellows is less than 10% of the bellows radius, the calculation expression is as follows: ; S2.2.5, Detecting that the outer diameter of the flexible joint is greater than the inner diameter, the calculation expression is: ; S2.2.6 The distance between the root of the noise reduction beam and the flange must be at least 2mm. The calculation formula is as follows: ; S2.2.7 When the outer diameter of the corrugated pipe is smaller than the inner diameter of the flexible joint, the calculation expression is: ; S2.2.8. Detect the overlap between the corrugated pipe boundary and the flexible joint connection position. The calculation expression is: ; S2.3. Test the material parameters of the bellows, including the elastic modulus E and Poisson's ratio. .
[0009] Furthermore, in step S3, a parametric air bridge simulation model is constructed using the parametric model building method based on ANSYS Design Modeler. The specific implementation method includes the following steps: S3.1 Mesh Generation: Mesh generation is performed in ANSYS Mechanical; S3.2 The bellows is modeled using shell elements; S3.3 The flexible joint is modeled using solid elements.
[0010] Furthermore, the specific implementation method of step S4 includes the following steps: S4.1. Based on the parameterized air bridge simulation model constructed in step S3, wind tunnel test load parameters are applied, including pressure, model aerodynamic force and torque. The pressure is applied to all pressure surfaces, including the bellows. The model aerodynamic force is applied to the moving end of the air bridge. The torque is applied to the end face of the moving end of the air bridge. S4.2. Verify the parameterized air bridge simulation model based on the wind tunnel test load parameters loaded in step S4.1, and test whether the parameterized air bridge simulation model works normally and correctly identifies parameters. S4.3. Based on the wind tunnel test load parameters applied in step S4.1, the parameterized air bridge simulation model is validated and analyzed using the validated parameterized air bridge simulation model. The simulation analysis results of support reaction load, stress, and deformation are obtained. The simulation analysis result file is output, and the parameterized air bridge simulation model with the applied wind tunnel test load parameters is obtained.
[0011] Furthermore, the specific implementation method of step S5 includes the following steps: S5.1 The sensitivity index in the parameter sensitivity analysis method is a first-order index: it measures the contribution to the output variance using only a single input. S5.2 A one-at-a-time parameter sensitivity analysis method is used. During the analysis, one variable is changed at a time while maintaining the baseline values of other variables. The changed variable is then returned to its nominal value, and the output results are compared. Sensitivity analysis is performed on modeling parameters, material parameters, and load parameters to extract the sensitive parameters with the strongest influence on the results, resulting in a list of sensitive parameters. The parameter sensitivity analysis method involves changing the parameters in a parameterized air bridge simulation model subjected to wind tunnel test loads and observing the degree of change in the model output. The calculation expression is: ; Where t is the independent variable and r is a variable. For the sensitivity of t to r, The change in the variable This represents the change in the independent variable.
[0012] An electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the parametric model air bridge simulation analysis method.
[0013] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned method for simulating and analyzing an air bridge using a parameterized model.
[0014] The beneficial effects of this invention are: This invention discloses a parametric model-based air bridge simulation analysis method. By establishing a parametric model and modifying parameters, it automates the entire process of model creation, finite element simulation (loading, mesh generation, and solving), and result extraction. It transforms the problem of optimizing air bridge performance into a mathematical problem of parameter optimization, forming a black-box air bridge performance evaluation method. This allows designers to focus only on input parameters to obtain output results, automating the modeling, finite element simulation, and data extraction processes. This enables rapid and convenient evaluation and comparison of the performance of multiple solutions. Furthermore, optimization methods can be used to identify the most sensitive parameters affecting air bridge performance, achieving efficient design iteration. Attached Figure Description
[0015] Figure 1 This is a flowchart of a parametric model air bridge simulation analysis method according to the present invention; Figure 2 This is a schematic diagram of the structure of an L-shaped air bridge in the air bridge simulation analysis method of the parametric model described in this invention; Wherein, 1 is the long arm of the air bridge, 2 is the short arm of the air bridge, 3 is the first flexible section, 4 is the second flexible section, and 5 is the third flexible section; Figure 3 This is a schematic diagram of the flexible joint structure of an L-shaped air bridge using a parametric model for air bridge simulation analysis as described in this invention. Among them, 6 is a corrugated pipe, 7 is a noise reduction beam, and 8 is a flange; Figure 4 This is a schematic diagram of the bellows structure of an L-shaped air bridge in the parametric model air bridge simulation analysis method described in this invention. Figure 5 The curves showing the variation of the support reaction force of the air bridge system with the Young's modulus of the material and the point of application of the aerodynamic load are presented in the parametric model air bridge simulation analysis method described in this invention. Detailed Implementation
[0016] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention; that is, the described specific embodiments are merely a part of the embodiments of the invention, and not all of them. The components of the specific embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations, and the invention may also have other embodiments.
[0017] Therefore, the following detailed description of specific embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected specific embodiments of the invention. All other specific embodiments obtained by those skilled in the art based on these specific embodiments without inventive effort are within the scope of protection of this invention.
[0018] To further understand the invention's content, features, and effects, the following specific embodiments are provided, along with accompanying drawings. Figure 1 - Appendix Figure 5 Detailed explanation is as follows: Specific implementation method one:
[0019] The function of an air bridge is to introduce high-pressure gas from the gas source into the test model. The interface at the gas source is reserved during the test section design phase and cannot be adjusted during the test. Similarly, the interface at the model is reserved after the test plan is finalized and during model fabrication, and also cannot be adjusted during the test. The port connecting the air bridge to the gas source is called the fixed end, because the rigidity of the wall panel is very good and can be considered fixed. The position connecting to the model's air inlet is called the movable end, because the rigidity of the model is relatively poor and will produce a certain displacement under load. Therefore, the layout of the air bridge is limited by the positions of the fixed and movable ends of the pipeline. The layout form needs to be determined based on the positional relationship between the two interfaces. If there is a large height difference between the gas source interface and the model's air inlet, an L-shaped air bridge is suitable. This implementation method takes the L-shaped type as an example to study how to optimize the performance of the air bridge under a given layout, so that it simultaneously meets the requirements of rigidity and strength.
[0020] A method for simulating and analyzing air bridges using a parametric model, comprising the following steps: S1. Set the parameters of the air bridge simulation model based on the L-shaped air bridge, including the overall layout parameters of the air bridge simulation model and the local dimension parameters of the air bridge simulation model; Furthermore, the specific implementation method of step S1 includes the following steps: S1.1 Set the air bridge as an L-shaped air bridge, with the long arm of the air bridge as the X-axis and the short arm of the air bridge as the Y-axis. The air bridge is equipped with flexible joints, the center of which coincides with the axis of the air bridge. The flexible joints are arranged as follows: the first flexible joint and the second flexible joint are set on the long arm of the air bridge, and the third flexible joint is set on the short arm of the air bridge. S1.2. Set the overall layout parameters of the air bridge simulation model, including the length of the long arm of the air bridge. The short arm length of the air bridge is The radius of the corner of the air bridge is R, and the distance between the first flexible section and the origin is set to... The distance between the second flexible section and the origin is The distance between the third flexible section and the origin is The first flexible section, the second flexible section, and the third flexible section have the same dimensions; S1.3. Set the local dimensional parameters of the air bridge simulation model, including setting the total length of the flexible section to... The inner diameter of the flexible joint is set to The outer diameter of the flexible joint is set to The width of the noise reduction beam is set to The length of the disturbance reduction beam is set to The thickness of the disturbance-reducing beam is set to Thickness of the disturbance-eliminating beam Set as The bellows flange thickness is set to B, the total bellows length is set to L, and the effective corrugation length is set to... The corrugated pipe thickness is set to Zh, and the inner radius of the corrugated pipe is set to... The outer radius of the bellows is set to D, the bellows pitch is set to t, the single-bellows distance is set to a, and the bellows transition radius is set to... The bellows radius is set to... ; Furthermore, the inlet and outlet ends of the air bridge are fixed, and all flexible sections have the same dimensions; the flexible section has a symmetrical structure with a geometric center and a central axis, and a symmetry plane perpendicular to the central axis; the centerline of the flexible section coincides with the pipeline axis. S2. Validate the parameters of the air bridge simulation model set in step S1. Furthermore, the specific implementation method of step S2 includes the following steps: S2.1 Validation of Overall Layout Parameters of Air Bridge Simulation Model: The location of the flexible joint is checked within the air bridge piping area. For the flexible joint installed on the long arm of the air bridge, the calculation expression is: ; ; For the flexible joint installed on the short arm of the air bridge, the calculation expression is: ; S2.2 Validation of local dimensional parameters of the air bridge simulation model: S2.2.1 If the number of corrugations in the bellows is even, the calculation expression is: ; Where n is a positive integer; S2.2.2 If the effective corrugation length of the corrugated pipe is less than the total length of the corrugated pipe, the calculation expression is: ; S2.2.3. Check the gap between the upper and lower corrugated coils of the bellows; it should be at least 2mm. The calculation formula is: ; S2.2.4. If the thickness of the bellows is less than 10% of the bellows radius, the calculation expression is as follows: ; S2.2.5, Detecting that the outer diameter of the flexible joint is greater than the inner diameter, the calculation expression is: ; S2.2.6 The distance between the root of the noise reduction beam and the flange must be at least 2mm. The calculation formula is as follows: ; S2.2.7 When the outer diameter of the corrugated pipe is smaller than the inner diameter of the flexible joint, the calculation expression is: ; S2.2.8. Detect the overlap between the corrugated pipe boundary and the flexible joint connection position. The calculation expression is: ; S2.3. Test the material parameters of the bellows, including the elastic modulus E and Poisson's ratio. ; S3. Based on the air bridge simulation model parameters that have undergone validity testing in step S2, construct a parameterized air bridge simulation model; Furthermore, in step S3, a parametric air bridge simulation model is constructed using the parametric model building method based on ANSYS Design Modeler. The specific implementation method includes the following steps: S3.1 Mesh Generation: Mesh generation is performed in ANSYS Mechanical; S3.2 The bellows is modeled using shell elements; S3.3 The flexible joint is modeled using solid elements; Further, mesh generation: The mesh was generated in ANSYS Mechanical. The bellows was modeled using shell elements because its thickness-to-diameter ratio is only 0.4%, making it a typical thin-walled component. Using solid elements would significantly increase the mesh size of the finite element model (approximately in the millions of meshes). In fact, for thin-walled structures, using shell elements is a very feasible and effective method for simulation. The error of this simplification method is almost negligible, yet it saves a huge amount of computational resources (the mesh size is around 70,000, about 7% of the solid element mesh size). For the bellows mesh generation, two conditions must be met: first, sufficient mesh density is necessary to ensure the finite element model accurately reflects the bellows' behavior; second, the mesh must have sufficient symmetry to accurately calculate the pressure-induced disturbance forces. The model simulation of the flexible joint mainly focuses on the strain beam. The flexible joint is modeled using solid elements. Since the strain beam is mainly subjected to bending loads, three aspects must be ensured during the simulation: First, at least two layers of mesh must be divided in the thickness direction to ensure that the influence of tensile and compressive loads on the upper and lower surfaces can be accurately captured; second, a sufficient number of meshes must be ensured in the axial direction to accurately simulate the deformation curve of the strain beam; and finally, the strain beams of each flexible joint must have the same mesh division to ensure that the flexible joint has good symmetry. S4. Based on the parameterized air bridge simulation model constructed in step S3, load the wind tunnel test load parameters, perform verification analysis of the parameterized air bridge simulation model, and obtain the parameterized air bridge simulation model loaded with wind tunnel test load parameters. Furthermore, the specific implementation method of step S4 includes the following steps: S4.1. Based on the parameterized air bridge simulation model constructed in step S3, wind tunnel test load parameters are applied, including pressure, model aerodynamic force and torque. The pressure is applied to all pressure surfaces, including the bellows. The model aerodynamic force is applied to the moving end of the air bridge. The torque is applied to the end face of the moving end of the air bridge. Furthermore, pressure is applied to all pressure-bearing surfaces, including the bellows, to simulate the pressure effect of high-pressure gas flowing through the bellows. Special care must be taken to ensure complete application to the entire bellows surface during application. For automatic loading of the bellows pressure surface, since the number of surfaces varies depending on the bellows parameters, the bellows geometry must be selected during automatic load application, and then the selection converted to the surface of the solid. Since the bellows is modeled using surface elements, its surface is the pressure surface to be loaded. Force loads are applied to the moving end of the air bridge, with concentrated forces connected to the moving end via MPC, including the position of the force center (three position coordinates) and the magnitudes of the three force components. Moment loads, with magnitudes in three directions, are applied to the end face of the moving end. S4.2. Verify the parameterized air bridge simulation model based on the wind tunnel test load parameters loaded in step S4.1, and test whether the parameterized air bridge simulation model works normally and correctly identifies parameters. Further testing is needed to ensure the parametric system functions correctly and can accurately recognize parameters. Several sets of geometric and finite element input parameters are randomly selected, updated, and then checked in the finite element software to verify their accuracy. Once confirmed, calculations are performed to verify the model under a unit load, comparing the output results with a non-parametric model under the same load to ensure correctness. After verifying the system's functionality, the next step can proceed. S4.3. Based on the wind tunnel test load parameters applied in step S4.1, the parameterized air bridge simulation model is verified and analyzed to obtain the simulation analysis results of the support reaction load, stress simulation analysis results, and deformation simulation analysis results. The simulation analysis result file is output to obtain the parameterized air bridge simulation model with the wind tunnel test load parameters applied. S5. For the parameterized air bridge simulation model of the wind tunnel test load parameters in step S4, extract the sensitive parameters using the parameter sensitivity analysis method to obtain a list of sensitive parameters; Parameter sensitivity analysis identifies parameters with high weights influencing the results, essentially acting as a screening process. Parameters with a strong impact on the results are retained for subsequent optimization analysis. The difficulty of optimization analysis is highly sensitive to the number of input parameters. Increasing the number of input parameters will cause the computational workload of the optimization problem to increase exponentially. Therefore, it is necessary to first filter out parameters with minor impacts and focus on the main issues for analysis.
[0021] Sensitivity analysis is the study of how the uncertainty of the output of a mathematical model or system (numerical or other) is distributed among different sources of uncertainty in the inputs. The sensitivity of each input is typically represented by a numerical value called a sensitivity index. Sensitivity indices come in several forms: First-order index: measures the contribution to the output variance using only a single input.
[0022] Second-order index: measures the contribution of the interaction between two inputs to the output variance. Total order index: measures the contribution of the model input to the output variance, including its first-order effects (input variation alone) and all higher-order interactions.
[0023] Furthermore, the specific implementation method of step S5 includes the following steps: S5.1 The sensitivity index in the parameter sensitivity analysis method is a first-order index: it measures the contribution to the output variance using only a single input. S5.2 A one-at-a-time parameter sensitivity analysis method is used. During the analysis, one variable is changed at a time while maintaining the baseline values of other variables. The changed variable is then returned to its nominal value, and the output results are compared. Sensitivity analysis is performed on modeling parameters, material parameters, and load parameters to extract the sensitive parameters with the strongest influence on the results, resulting in a list of sensitive parameters. The parameter sensitivity analysis method involves changing the parameters in a parameterized air bridge simulation model subjected to wind tunnel test loads and observing the degree of change in the model output. The calculation expression is: ; Where t is the independent variable and r is a variable. For the sensitivity of t to r, The change in the variable The change in the independent variable; S6. Input the list of sensitive parameters obtained in step S5 into the parameterized air bridge simulation model for screening. Perform simulation analysis on the screened parameterized air bridge simulation model and optimize it using the response surface optimization method.
[0024] Furthermore, after determining the sensitive parameters, the selected sensitive parameters are used as input parameters to optimize the scheme using response surface methodology. Test points (i.e., a calculation condition) are determined using the center-point CCD method, and the parameter values corresponding to each test point are determined, forming a series of parameter value lists. These values are input into ANSYS for calculation, obtaining simulation results for each test point. The set output parameters (including the support reaction force at the fixed end of the air bridge, bellows stress, etc.) are extracted as evaluation indicators. The evaluation criterion is: when the stress value is lower than the allowable stress, the smaller the support reaction force at the air bridge end (i.e., the interference force of the air bridge), the better.
[0025] Response surface methodology (RSM) essentially fits an equation to actual data, which can be represented graphically to predict the impact of different conditions on the response value. The number of parameters determines the dimensionality of the resulting response surface; for two parameters, the result is a three-dimensional surface, while for more than three parameters, the result is a hypersurface. The response surface obtained using the center-point CCD design method can effectively predict the trend of the result changing with different parameters, thus finding the optimal solution within the parameter value range.
[0026] From the appendix Figure 5 The relationship between the interference force of the air bridge system and the changes in the bellows material and the location of the aerodynamic load can be observed. The horizontal axis represents the elastic modulus of the material, and the vertical axis represents the interference force generated by the air bridge. Different aerodynamic load locations are represented by different lines. This embodiment describes a parametric model-based air bridge simulation analysis method. Designers only need to modify and adjust the parameters of interest in the input parameter table of EXCEL, and then input all the alternative schemes into the software at once. The software will batch-model, mesh, load, analyze, calculate, and extract data results for these schemes. Staff can submit tasks to the software after get off work, and the software will complete the calculations during staff's rest time. The next day, staff can check the effect of the schemes, which greatly improves work efficiency and significantly reduces staffing. In the past, evaluating a single scheme, from modeling to results, often took several days and required at least one person each from aerodynamics, structure, and analysis. Evaluating dozens of schemes only requires one person and takes less than a week. Numerical simulation can use technical means to find the influence of parameters on performance among numerous parameters, obtain parameter sensitivity, and identify the most critical factors affecting performance. This is equivalent to finding the most critical direction for air bridge design. Specific Implementation Method Two:
[0028] An electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the parametric model air bridge simulation analysis method.
[0029] The computer device of the present invention may include a processor and a memory, such as a microcontroller containing a central processing unit. Furthermore, the processor executes the computer program stored in the memory to implement the steps of the above-described method for simulating and analyzing an air bridge using a parameterized model.
[0030] The processor referred to can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.
[0031] The memory may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function (such as sound playback, image playback, etc.); the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). Furthermore, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices. Specific implementation method three:
[0033] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned method for simulating and analyzing an air bridge using a parameterized model.
[0034] The computer-readable storage medium of the present invention can be any form of storage medium that can be read by the processor of a computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory, etc. The computer-readable storage medium stores a computer program. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above-described method for simulating and analyzing an air bridge using a parameterized model can be implemented.
[0035] The computer program includes computer program code, which may be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium may be appropriately added to or subtracted according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.
[0036] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0037] Although this application has been described above with reference to specific embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of this application. In particular, as long as there is no structural conflict, the features in the specific embodiments disclosed in this application can be combined with each other in any way. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, this application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.
Claims
1. A method for simulating and analyzing air bridges using a parametric model, characterized in that, Includes the following steps: S1. Set the parameters of the air bridge simulation model based on the L-shaped air bridge, including the overall layout parameters of the air bridge simulation model and the local dimension parameters of the air bridge simulation model; The specific implementation method of step S1 includes the following steps: S1.1 Set the air bridge as an L-shaped air bridge, with the long arm of the air bridge as the X-axis and the short arm of the air bridge as the Y-axis. The air bridge is equipped with flexible joints, the center of which coincides with the axis of the air bridge. The flexible joints are arranged as follows: the first flexible joint and the second flexible joint are set on the long arm of the air bridge, and the third flexible joint is set on the short arm of the air bridge. S1.
2. Set the overall layout parameters of the air bridge simulation model, including the length of the long arm of the air bridge. The short arm length of the air bridge is The radius of the corner of the air bridge is R, and the distance between the first flexible section and the origin is set to... The distance between the second flexible section and the origin is The distance between the third flexible section and the origin is The first flexible section, the second flexible section, and the third flexible section have the same dimensions; S1.
3. Set the local dimensional parameters of the air bridge simulation model, including setting the total length of the flexible section to... The inner diameter of the flexible joint is set to The outer diameter of the flexible joint is set to The width of the noise reduction beam is set to The length of the disturbance reduction beam is set to The thickness of the disturbance-eliminating beam is set to Thickness of the disturbance-reducing beam Set as The bellows flange thickness is set to B, the total bellows length is set to L, and the effective corrugation length is set to... The corrugated pipe thickness is set to Zh, and the inner radius of the corrugated pipe is set to... The outer radius of the bellows is set to D, the bellows pitch is set to t, the single-bellows distance is set to a, and the bellows transition radius is set to... The bellows radius is set to... ; S2. Validate the parameters of the air bridge simulation model set in step S1. S3. Based on the air bridge simulation model parameters that have undergone validity testing in step S2, construct a parameterized air bridge simulation model; In step S3, a parametric air bridge simulation model is constructed using the parametric model building method based on ANSYS Design Modeler. The specific implementation method includes the following steps: S3.1 Mesh Generation: Mesh generation is performed in ANSYS Mechanical; S3.2 The bellows is modeled using shell elements; S3.3 The flexible joint is modeled using solid elements; S4. Based on the parameterized air bridge simulation model constructed in step S3, load the wind tunnel test load parameters, perform verification analysis of the parameterized air bridge simulation model, and obtain the parameterized air bridge simulation model loaded with wind tunnel test load parameters. S5. For the parameterized air bridge simulation model of the wind tunnel test load parameters in step S4, extract the sensitive parameters using the parameter sensitivity analysis method to obtain a list of sensitive parameters; S6. Input the list of sensitive parameters obtained in step S5 into the parameterized air bridge simulation model for screening. Perform simulation analysis on the screened parameterized air bridge simulation model and optimize it using the response surface optimization method.
2. The method for simulating and analyzing an air bridge using a parametric model according to claim 1, characterized in that, The specific implementation method of step S2 includes the following steps: S2.1 Validation of Overall Layout Parameters of Air Bridge Simulation Model: The location of the flexible joint is checked within the air bridge piping area. For the flexible joint installed on the long arm of the air bridge, the calculation expression is: ； For the flexible joint installed on the short arm of the air bridge, the calculation expression is: ； S2.2 Validation of local dimensional parameters of the air bridge simulation model: S2.2.1 If the number of corrugations in the bellows is even, the calculation expression is: Where n is a positive integer; S2.2.2 If the effective corrugation length of the corrugated pipe is less than the total length of the corrugated pipe, the calculation expression is: ； S2.2.
3. Check the gap between the upper and lower corrugated coils of the bellows; it should be at least 2mm. The calculation formula is: ； S2.2.
4. If the thickness of the bellows is less than 10% of the bellows radius, the calculation expression is as follows: ； S2.2.5, Detecting that the outer diameter of the flexible joint is greater than the inner diameter, the calculation expression is: ； S2.2.6 The distance between the root of the noise reduction beam and the flange must be at least 2mm. The calculation formula is as follows: ； S2.2.7 When the outer diameter of the corrugated pipe is smaller than the inner diameter of the flexible joint, the calculation expression is: ； S2.2.
8. Detect the overlap between the corrugated pipe boundary and the flexible joint connection position. The calculation expression is: ； S2.
3. Test the material parameters of the bellows, including the elastic modulus E and Poisson's ratio. .
3. The method for simulating and analyzing an air bridge using a parametric model according to claim 2, characterized in that, The specific implementation method of step S4 includes the following steps: S4.
1. Based on the parameterized air bridge simulation model constructed in step S3, wind tunnel test load parameters are applied, including pressure, model aerodynamic force and torque. The pressure is applied to all pressure surfaces, including the bellows. The model aerodynamic force is applied to the moving end of the air bridge. The torque is applied to the end face of the moving end of the air bridge. S4.
2. Verify the parameterized air bridge simulation model based on the wind tunnel test load parameters loaded in step S4.1, and test whether the parameterized air bridge simulation model works normally and correctly identifies parameters. S4.
3. Based on the wind tunnel test load parameters applied in step S4.1, the parameterized air bridge simulation model is validated and analyzed using the validated parameterized air bridge simulation model. The simulation analysis results of support reaction load, stress, and deformation are obtained. The simulation analysis result file is output, and the parameterized air bridge simulation model with the applied wind tunnel test load parameters is obtained.
4. The method for simulation analysis of an air bridge using a parametric model according to claim 3, characterized in that, The specific implementation method of step S5 includes the following steps: S5.1 The sensitivity index in the parameter sensitivity analysis method is a first-order index: it measures the contribution to the output variance using only a single input. S5.2 A one-at-a-time parameter sensitivity analysis method is used. During the analysis, one variable is changed at a time while maintaining the baseline values of other variables. The changed variable is then returned to its nominal value, and the output results are compared. Sensitivity analysis is performed on modeling parameters, material parameters, and load parameters to extract the sensitive parameters with the strongest influence on the results, resulting in a list of sensitive parameters. The parameter sensitivity analysis method involves changing the parameters in a parameterized air bridge simulation model subjected to wind tunnel test loads and observing the degree of change in the model output. The calculation expression is: Where t is the independent variable and r is a variable. For the sensitivity of t to r, The change in the variable This represents the change in the independent variable.
5. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the air bridge simulation analysis method of the parameterized model according to any one of claims 1-4.
6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the air bridge simulation analysis method of any one of claims 1-4.