Fuel tank lightning environment direct effect analysis method and system

Abstract

The invention belongs to the technical field of fuel tank simulation analysis, and discloses a fuel tank lightning environment direct effect analysis method and system, and the method comprises the following steps: building a fuel tank simulation model, and carrying out the material attribute setting of the fuel tank simulation model; finite element solution analysis is conducted on the fuel tank simulation model with the set material attributes, and a simulation analysis result is generated; and performing comparison verification based on the simulation analysis result and the actual lightning stroke test data of the fuel tank. The method solves the problem that the aircraft fuel tank lacks effective simulation analysis means under the requirements of lightning environment airworthiness certification terms and laws and regulations, different lightning stroke scenes can be quickly covered, and the analysis period is greatly shortened.

Description

Technical Field

[0001] This invention belongs to the field of fuel tank simulation analysis technology, specifically relating to a method and system for analyzing the direct effects of lightning on fuel tank environments. Background Technology

[0002] In the aviation industry, aircraft fuel tanks, as core components for storing fuel, are directly related to the overall flight safety of the aircraft in lightning environments. When lightning strikes an aircraft, it generates strong currents and localized high temperatures in the fuel tank and related structures. Without accurately understanding the current distribution and temperature rise characteristics, it is difficult to formulate effective protection design schemes. Therefore, obtaining physical response data of the fuel tank under the direct effects of lightning has become a key prerequisite for supporting the lightning protection design and airworthiness certification of aircraft fuel tanks.

[0003] Currently, the industry relies heavily on actual lightning strike tests to analyze the direct effects of lightning on aircraft fuel tanks. This involves setting up a test platform that simulates a lightning environment, applying a lightning current to a fuel tank specimen, and observing and recording the damage, current conduction path, and local temperature changes to assess the fuel tank's lightning protection capability. While some analytical methods incorporate simulation models, they often rely on the assumption of isotropic materials.

[0004] Existing technologies rely on analysis methods based on actual lightning strike tests, which suffer from high testing costs and long cycles, and are difficult to comprehensively cover different lightning strike scenarios, thus failing to provide sufficient preliminary data support for protection design. On the other hand, existing simulation models ignore the anisotropic properties of carbon fiber composite materials and lack accurate theoretical support for current diffusion and temperature rise calculations, resulting in significant deviations between simulation results and actual test results, making it difficult to effectively guide the forward design of lightning protection for fuel tanks. Summary of the Invention

[0005] This invention proposes a method and system for analyzing the direct effects of lightning on fuel tanks. By combining finite element analysis to obtain current distribution and local temperature rise results, and verifying them through experiments, it solves the technical problem that aircraft fuel tanks lack effective simulation analysis methods to support forward design of lightning protection and airworthiness certification testing under lightning environment airworthiness certification clauses and regulations.

[0006] The technical solution of this invention is implemented as follows: In a first aspect, the present invention provides a method for analyzing the direct effects of lightning on fuel tank environments, comprising the following steps: A fuel tank simulation model is established, and the material properties of the fuel tank simulation model are set. The material properties include at least the anisotropic electrical conductivity and anisotropic thermal conductivity of the carbon fiber composite material. A finite element method is used to solve the simulation model of the fuel tank after setting the material properties, and simulation analysis results are generated. The simulation analysis results include the current distribution obtained based on the quasi-static conductive current diffusion model and the local temperature rise results of the fuel tank obtained based on the temperature ignition source model. The simulation analysis results were compared and verified with actual lightning strike test data of the fuel tank to confirm the validity of the simulation results.

[0007] As a further technical solution of the present invention: before establishing the fuel tank simulation model, a physical theoretical model is also constructed, specifically including: Obtain the anisotropic electrical conductivity and anisotropic thermal conductivity parameters of carbon fiber composite materials; Based on the aforementioned conductivity parameters, a quasi-static conductive current diffusion model is established for solving the current distribution. Based on the thermal conductivity parameters, composite material density, specific heat capacity, and Joule heat source calculated from the current distribution, a temperature ignition source model is established for solving the temperature field.

[0008] As a further technical solution of the present invention: the establishment of the quasi-static conduction current diffusion model includes: Based on the anisotropic conductivity parameters, a quasi-static conduction current diffusion control equation is constructed: ,in Let be the conductivity tensor. For electric potential, It is a vector differential operator; Solving the governing equations yields potential distribution data, which in turn generates current density distribution results.

[0009] As a further technical solution of the present invention: the establishment of the temperature ignition source model includes: The current density distribution result is taken as the electrothermal coupling heat source term, according to the Joule heating formula. The body heat source was calculated. ,in For current density, For electrical conductivity tensor; According to the density of the composite material Specific heat capacity Anisotropic thermal conductivity parameter tensor and the body heat source Establish the unsteady-state heat conduction control equation: ,in For temperature field, For time, It is a vector differential operator.

[0010] As a further technical solution of the present invention: the establishment of the fuel tank simulation model includes: Composite material fuel tank box segment was selected as the simulation analysis object; The geometric dimensions of the analysis object are set to generate a fuel tank simulation model, including the total length, width, height of the model, and the distances from the current injection point and the current outflow point to the fuel tank cap.

[0011] As a further technical solution of the present invention: the step of setting material properties for the fuel tank simulation model includes: The anisotropic thermal conductivity and electrical conductivity parameters of the carbon fiber composite material in the anisotropic material model are input into the fuel tank simulation model according to the material layup direction to complete the material property configuration.

[0012] As a further technical solution of the present invention: the finite element analysis of the fuel tank simulation model with the material properties set includes: The fuel tank simulation model was meshed using tetrahedral mesh elements to generate a finite element model. Set current injection points, outflow points, and environmental boundary conditions for the finite element model, define electrical connections and conduction paths, and generate a solution model; The solution model is solved using the finite element method, and the current distribution and local temperature rise of the fuel tank are output.

[0013] As a further technical solution of the present invention: the comparison and verification of the simulation analysis results with the actual lightning strike test data of the fuel tank includes: Lightning strike tests were conducted on fuel tank specimens, and actual lightning strike test data, including the actual ablation area, were recorded. From the local temperature rise results of the simulation analysis, the region where the temperature exceeds the material's thermal failure threshold is extracted as the simulated ablation region; Calculate the overlap ratio between the actual ablation area and the simulated ablation area. When the overlap ratio is greater than a preset threshold, the simulation analysis result is deemed valid.

[0014] Secondly, the present invention provides a system for analyzing the direct effects of lightning on a fuel tank environment, comprising: The model creation and attribute setting module is used to create a fuel tank simulation model and set the material properties of the fuel tank simulation model. The finite element simulation analysis module is used to perform finite element solution analysis on the fuel tank simulation model with the material properties set, and generate simulation analysis results, including current distribution and local temperature rise results of the fuel tank. The comparison and verification module is used to compare and verify the simulation analysis results with the actual lightning strike test data of the fuel tank.

[0015] Thirdly, the present invention provides an electronic device comprising: At least one processor; and A memory that is communicatively connected to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the analysis method.

[0016] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions that cause a processor to execute the analysis method.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention accurately recreates the geometric features and material properties of the fuel tank through a digital model, providing a realistic virtual platform for subsequent simulations. Finite element simulation analysis generates current distribution and local temperature rise results for the fuel tank, providing quantitative data support for targeted protection design schemes. Compared to actual tests, it can quickly cover different lightning strike scenarios, significantly shortening the analysis cycle. Comparative verification confirms the reliability of the simulation results, enabling subsequent optimization of fuel tank lightning protection design and airworthiness certification analysis to be directly conducted through simulation, reducing reliance on repeated actual tests and lowering overall R&D and testing costs.

[0018] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0019] Figure 1 This is a flowchart of a method for analyzing the direct effects of lightning on a fuel tank according to Embodiment 1 of the present invention; Figure 2 This is a flowchart of another method for analyzing the direct effects of lightning on a fuel tank, provided in Embodiment 1 of the present invention. Figure 3 This is a flowchart of another method for analyzing the direct effects of lightning on a fuel tank, according to Embodiment 2 of the present invention. Figure 4 This is a schematic diagram of a direct effect analysis system for lightning environment of a fuel tank according to Embodiment 3 of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device that implements a method for analyzing the direct environmental effects of lightning on a fuel tank, according to an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the present invention... All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0021] The features and illustrative embodiments of various aspects of the present invention will now be described in detail. Numerous specific details are set forth in the following detailed description to provide a thorough understanding of the invention. However, it will be apparent to those skilled in the art that the invention may be practiced without requiring some of these specific details. The following description of embodiments is merely intended to provide a better understanding of the invention by illustrating examples of the invention. The invention is by no means limited to any specific setups and methods set forth below, but covers any improvements, substitutions, and modifications to structures, methods, and devices without departing from the spirit of the invention. Well-known structures and techniques are not shown in the drawings and the following description to avoid unnecessarily obscuring the invention.

[0022] It should be noted that, unless otherwise specified, the embodiments of the present invention and the features thereof can be combined with each other, and the various embodiments can be referenced and cited from each other.

[0023] The following is in conjunction with the appendix Figure 1-5 The embodiments of the present invention will be described in detail below.

[0024] Example 1 Figure 1 This is a flowchart illustrating a direct effect method for lightning environments on a fuel tank, as provided in Embodiment 1 of the present invention. This embodiment is applicable to fuel tank lightning environment analysis scenarios. The method can be executed by a direct effect device for lightning environments on a fuel tank, which can be implemented in hardware and / or software and can be configured in a computer controller. Figure 1 As shown, the method includes: S110. Establish a fuel tank simulation model and set the material properties of the fuel tank simulation model.

[0025] The fuel tank simulation model is a virtual model of the aircraft fuel tank and its related structures, digitally reconstructed using computer-aided engineering tools. Setting material properties involves assigning appropriate parameters to the simulation model based on the physical characteristics of the materials actually used in the fuel tank, thus determining the accuracy of the simulation results. In this application, the fuel tank primarily uses carbon fiber composite materials and glass fiber composite materials, whose properties differ significantly and therefore require separate settings.

[0026] Optionally, a fuel tank simulation model is established, including: selecting a composite material fuel tank segment as the simulation analysis object for thermal ablation; setting the geometric dimensions for the simulation analysis object and generating a fuel tank simulation model, wherein the geometric dimensions include the total length, width, height, and distance of the current injection and outflow points from the fuel tank cap.

[0027] It is known that the composite fuel tank box segment, as the core functional segment of the fuel tank, not only includes the main composite material structure of the fuel tank, but also covers key areas closely related to lightning protection, allowing for targeted analysis of the generation and development of thermal ablation on composite material structures.

[0028] Specifically, when setting the geometric dimensions for composite fuel tank segment components, key dimensions closely related to simulation analysis accuracy and lightning strike scenario simulation must be strictly defined to ensure that the model reflects both the actual structural proportions of the fuel tank and accurately locates the position of the lightning current. Geometric dimensions include the model's total length, width, height, and the distances from the current injection and outflow points to the fuel tank cap. The total length, width, and height of the model determine the overall structural proportions of the simulation model and must be determined with reference to the engineering dimensions of the actual fuel tank segment components. For example, it can be set to a total length L=2000mm, width B=880mm, and height h=350mm. The distances from the current injection and outflow points to the fuel tank cap must be set in conjunction with lightning strike risk scenarios and airworthiness certification requirements. For example, it can be set to a distance a=50mm, i.e., selecting the upper and lower wall panels near the fuel tank cap, for example, 5cm from the edge of the cap as the lightning current injection and outflow points. It should be noted that the fuel tank cap is a weak point in the fuel tank's seal. If lightning current is injected or flows out here, the concentrated current can easily generate localized high temperatures, posing a risk of spark ignition at the cap's seal. Therefore, setting the point of current application at the fuel tank cap maximizes the assessment of the cap's lightning protection capability, closely reflecting the characteristics of high-risk areas in actual lightning strikes. After completing the above geometric dimensional settings, computer-aided engineering tools are needed to convert the set parameters into a digital model, generating a fuel tank simulation model.

[0029] Optionally, material properties can be set for the fuel tank simulation model, including: extracting the thermal conductivity and electrical conductivity parameters of the carbon fiber composite material from the anisotropic material model; and inputting the thermal conductivity and electrical conductivity parameters into the fuel tank simulation model to complete the material property configuration.

[0030] It should be noted that the most significant characteristic of carbon fiber composites is the anisotropy of their electrical and thermal properties, meaning that their properties vary significantly with different directions. This characteristic directly determines the conduction path of lightning current and the heat diffusion law in the material. Therefore, it is necessary to accurately extract the thermal conductivity and electrical conductivity parameters from the anisotropic material model.

[0031] Among them, the thermal conductivity parameter determines the material's heat conduction capacity. The thermal conductivity of carbon fiber composites at 0° along the fiber direction is much greater than at 90° perpendicular to the fiber direction and in the thickness direction. Therefore, corresponding thermal conductivity components need to be extracted for different directions to construct the thermal conductivity tensor. Specifically, the transverse thermal conductivity k... 11 =11W / mK, longitudinal thermal conductivity k 22 =1W / mK, in-plane thermal conductivity k 33 =11W / m*K. The conductivity parameter determines the current conduction capability of a material. Carbon fiber composites exhibit excellent conductivity along the fiber direction, but conductivity decreases significantly in the direction perpendicular to the fiber and in the thickness direction. Therefore, it is necessary to extract the corresponding conductivity components for each direction to construct the conductivity tensor. Among these, the transverse conductivity... =26558 S / m, longitudinal conductivity =268S / m, longitudinal conductivity =11S / m.

[0032] Specifically, during the extraction process, it is necessary to strictly distinguish the parameter differences between carbon fiber composites and glass fiber composites. This application clarifies that glass fiber composites are almost insulating and do not contribute to current conduction and electrothermal coupling. They only affect the electric spark breakdown voltage as a medium for electric field distribution. Therefore, it is not necessary to extract its conductivity-related parameters. Only its electric field medium properties need to be considered to avoid confusion with the parameters of carbon fiber composites, which could lead to simulation errors.

[0033] Furthermore, when setting material properties, it is first necessary to locate the corresponding model component of the carbon fiber composite material in the simulation tool, and input the extracted thermal conductivity and electrical conductivity parameters according to their corresponding directions, ensuring that the parameter directions are consistent with the fiber layup direction of the composite material in the model. For example, the transverse thermal conductivity k... 11 and transverse conductivity Corresponding to the transverse attribute field of the fiber in the input model, the longitudinal thermal conductivity k 22 and longitudinal conductivity The corresponding longitudinal attribute field of the input fiber is used to avoid the inaccurate representation of the material's anisotropic properties due to misalignment of the orientation.

[0034] S120. Perform finite element analysis on the fuel tank simulation model with the material properties set, and generate simulation analysis results, including current distribution and local temperature rise of the fuel tank.

[0035] Finite element analysis (FEM) refers to the process of obtaining the distribution and variation of key physical quantities in the fuel tank under lightning strikes by solving relevant physical equations based on an established fuel tank simulation model and pre-defined material properties. The simulation analysis results are the output of the FEM process, providing key data and visualization information reflecting the direct effects of lightning on the fuel tank, including current distribution results and local temperature rise results. This provides a basis for the lightning protection design and airworthiness certification of the fuel tank. The current distribution results visualize the conduction path and current density distribution of lightning current in the fuel tank and related structures. The local temperature rise results include the temperature field distribution of the fuel tank at different time points, allowing for a direct view of temperature changes in areas such as near the lightning strike injection point, and enabling the identification of localized high-temperature regions.

[0036] Figure 2 This invention provides a flowchart of a method for the direct effects of lightning on a fuel tank, according to Embodiment 1 of the present invention. Step S120 mainly includes the following steps S121 to S123: S121. Use tetrahedral mesh elements to mesh the fuel tank simulation model after setting the material properties, and generate a finite element model.

[0037] It is known that the fuel tank simulation model includes complex structures such as composite material panels and the perimeter of the fuel tank cap. Tetrahedral mesh elements have good geometric adaptability, flexibly fitting the complex curved surfaces and corner features of the model, accurately discretizing the layup structure of the composite material panels, and avoiding discretization errors caused by mesh incompatibility with the structure. In addition, tetrahedral mesh elements can be optimized by controlling the element density to achieve mesh refinement in areas with concentrated current and critical heat diffusion, while appropriately reducing the mesh density in areas with relatively simple structures. This ensures the computational accuracy of critical areas while balancing overall computational efficiency, avoiding excessive computational load and time consumption caused by global refinement.

[0038] Specifically, based on the fuel tank simulation model with completed material property settings, the mesh generation function of the finite element analysis software is used to select tetrahedral elements and set reasonable element size parameters. After mesh generation, the mesh quality needs to be verified, focusing on checking the element distortion rate and aspect ratio to avoid severely distorted elements. After quality verification, the discretized model is transformed into a finite element model suitable for numerical calculations.

[0039] S122. Set the current injection and outflow points and environmental boundaries for the finite element model, and set the electrical connections and conduction paths for the finite element model to generate the solution model.

[0040] Specifically, the locations of the current injection and outflow points need to be determined based on the lightning strike risk scenario and the characteristics of the weak areas of the fuel tank. For example, the upper and lower wall panels near the fuel tank cap, specifically 50mm from the edge of the cap, can be selected as the current injection and outflow points. During setup, the corresponding nodes or elements must be accurately located in the finite element model, and the current input parameters of the injection point must be clearly defined. The outflow point should be set as the current grounding boundary to ensure a complete current loop. Setting the environmental boundary involves constructing an electromagnetic field environment and air domain boundary that matches an actual lightning strike. A certain range of air domain needs to be extended outside the finite element model to simulate the air medium environment during a lightning strike.

[0041] The electrical connections and conduction paths must be set based on the actual conductivity characteristics of the fuel tank structure, and the conduction paths of the current in the finite element model must be predefined. For example, this can be achieved by dragging a rectangle to the right from the 31st node from the left to select the middle node and applying a discrete cohesive region model; the affected area is shown in red shading.

[0042] S123. Perform finite element analysis on the solution model, output the current distribution based on the quasi-static conductive current diffusion model, and output the local temperature rise result of the fuel tank based on the temperature ignition source model.

[0043] The governing equations of the quasi-static conduction current diffusion model are: , Represents the conductivity tensor. Indicates the potential distribution. This represents the vector differential operator. During the solution process, the current injection parameters, material conductivity parameters, and current outflow boundary conditions set in the solution model are substituted into the equations, and numerical calculations are performed using the solver of the finite element software to obtain the potential distribution of each element in the finite element model. Then, based on the relationship between current density and potential gradient, the magnitude and direction of the current density of each unit are derived, and the current distribution results are finally output in a visual form.

[0044] Specifically, the temperature ignition source model first calculates the heat source generated by the lightning strike, and then analyzes the heat diffusion law in the material. That is, it first performs Joule heating calculations, and then uses the Joule heating formula based on the current distribution results. Calculate the volumetric heat source generated inside the composite material due to the passage of electric current, where, Indicates the body's heat source, Represents the conductivity tensor. This represents the current density. Then, an unsteady-state heat conduction solution is performed, treating the volumetric heat source... Substituting into the unsteady heat conduction control equation ,in, Indicates the density of the material. Indicates specific heat capacity, Indicates thermal conductivity parameter, Represents temperature field, Indicates time, Indicates the body's heat source, This represents a vector differential operator. The temperature field distribution at different time points is calculated using a solver.

[0045] S130. The simulation analysis results are compared and verified with the actual lightning strike test data of the fuel tank.

[0046] Among them, the actual lightning strike test data of the fuel tank is a variety of data collected under real physical environment to reflect the actual state of the fuel tank after being struck by lightning. It serves as the benchmark for verifying the accuracy and reliability of the simulation analysis method.

[0047] Optionally, the simulation analysis results can be compared and verified with the actual lightning strike test data of the fuel tank. This includes: conducting a lightning strike test on the fuel tank specimen and recording the actual lightning strike test data of the lightning strike point, wherein the actual lightning strike test data includes the actual ablation area; determining the simulated ablation area from the simulation analysis results; determining the overlap ratio between the actual ablation area and the simulated ablation area, and determining the validity of the simulation analysis results when the overlap ratio is greater than a preset threshold.

[0048] Specifically, after the lightning strike test, the surface of the fuel tank specimen will have thermal ablation marks due to Joule heating of the current. Information on the actual ablation area, including the shape, size and location of the ablation area, can be recorded using high-precision detection methods, and a visual record can be formed.

[0049] It should be noted that the ablation of the fuel tank composite material is caused by Joule heating generated by the electric current, which causes the material temperature to exceed its thermal failure threshold. Therefore, it is necessary to first determine the thermal failure temperature threshold of the material. Then, from the local temperature rise results output by the simulation, areas where the temperature exceeds this threshold are selected. These areas correspond to the locations where thermal failure and ablation occur in the simulation. In addition, the current distribution results can be used to assist in verification. Areas with concentrated current density have greater Joule heating and are more prone to ablation, which can serve as a supplementary basis for determining the ablation area. After determining the high-temperature failure area in the simulation, the geometric information of this area is extracted using the post-processing function of the finite element analysis software, including the shape, size, and location corresponding to the experimental record, and a simulated ablation area corresponding to the experimental visualization record is generated. In addition, the consistency of parameters must be ensured during the extraction process. For example, the area calculation of the simulated ablation area must use the same coordinate system and measurement standard as the experiment to avoid comparison deviations caused by differences in measurement methods. Finally, by quantitatively calculating the overlap ratio between the actual and simulated ablation areas, the degree of agreement between the simulation results and the actual physical process can be objectively judged, thereby verifying the effectiveness of the simulation method. In specific verification, the actual ablation area image recorded in the experiment and the ablation area image extracted from the simulation can be imported into the same coordinate system. Then, an image comparison analysis tool can be used to calculate the overlapping area and the total coverage area of ​​the two types of areas. The overlapping area refers to the portion of the area that exists simultaneously in both the actual and simulated ablation areas. The total coverage area is usually taken as the larger of the actual and simulated ablation area areas. The overlap ratio is calculated as (overlapping area / total coverage area) × 100%. The preset threshold can be determined based on the engineering practice requirements for simulation accuracy and the repeatability error of composite material lightning strike tests; for example, it could be 80%. When the calculated overlap ratio is greater than this preset threshold, it indicates that the simulation analysis results and the actual lightning strike test data are highly consistent in the ablation area. This suggests that the anisotropic material model, quasi-static conductive current diffusion model, and temperature ignition source model used in the simulation can accurately reflect the actual physical laws, thus confirming the effectiveness of the simulation results of the direct effect analysis method for lightning environment of the fuel tank. If the overlap ratio is below the threshold, it is necessary to backtrack and check each step. For example, check whether the material parameters input to the simulation model, such as electrical conductivity and thermal conductivity, are consistent with the actual material; check the mesh quality, such as whether the mesh near the current injection point is sufficiently fine; and check the boundary condition settings, such as whether the air domain is reasonable. After correction, repeat the simulation and comparison verification until the overlap ratio meets the threshold requirement.

[0050] The technical solution of this invention accurately recreates the geometric features and material properties of the fuel tank through a digital model, providing a realistic virtual platform for subsequent simulations. Finite element simulation analysis generates current distribution and local temperature rise results for the fuel tank, providing quantitative data support for targeted protection design schemes. Compared to actual tests, it can quickly cover different lightning strike scenarios, significantly shortening the analysis cycle. Comparative verification confirms the reliability of the simulation results, enabling subsequent optimization of fuel tank lightning protection design and airworthiness certification analysis to be directly conducted through simulation, reducing reliance on repeated actual tests and lowering overall R&D and testing costs.

[0051] Example 2 Figure 3 This is a flowchart of a method for the direct effects of lightning on a fuel tank environment provided in Embodiment 2 of the present invention. This embodiment adds a process for constructing a theoretical model based on Embodiment 1. Figure 3 As shown, the method includes: S210. Obtain the differences in composite material properties, generate the basis for constructing anisotropic material models, and define the anisotropic properties of electrical conductivity and thermal conductivity.

[0052] It is known that carbon fiber composites exhibit excellent electrical conductivity at 0° along the fiber direction, but significantly reduced conductivity at 90° perpendicular to the fiber direction and in the thickness direction. In terms of thermal properties, the thermal conductivity along the fiber direction is much higher than that in the transverse and thickness directions, demonstrating significant anisotropy. Glass fiber composites, on the other hand, are almost insulated, contributing nothing to current conduction or electrothermal coupling, only affecting the electric field distribution medium and spark breakdown voltage. They show no significant anisotropy in thermal properties and have relatively weak thermal conductivity. By clearly defining the differences in the properties of composite materials, we can distinguish between the two types of material models, define anisotropic properties, and ensure that the models accurately reflect the physical responses of different materials under lightning conditions.

[0053] Specifically, based on the aforementioned differences in characteristics, the definition dimensions of anisotropic properties can be determined. For carbon fiber composites, the anisotropic properties of electrical and thermal conductivity need to be defined in three spatial directions, including the x, y, and z directions, corresponding to the horizontal x-direction, horizontal y-direction, and fiber thickness z-direction, respectively. The anisotropic property of electrical conductivity manifests as a significant difference in conductivity values ​​across different directions; for example, the conductivity in the x-direction is much greater than that in the y and z directions. The same applies to the anisotropic property of thermal conductivity. Glass fiber composites, on the other hand, do not require the definition of anisotropic electrical conductivity properties; only the relevant properties as an electric field medium need to be defined, and the thermal conductivity property is treated as isotropic.

[0054] S220. Obtain the electrical conductivity data of the carbon fiber composite material and generate the electrical conductivity parameter. Also obtain the thermal conductivity data of the carbon fiber composite material and generate the thermal conductivity parameter.

[0055] Specifically, specialized electrical performance testing methods such as the four-probe method can be used to test the electrical conductivity of carbon fiber composite material samples used in fuel tanks in different directions. For example, the conductivity in the x-direction (fiber horizontal), y-direction (fiber horizontal), and z-direction (fiber thickness) can be tested separately to obtain raw conductivity data for each direction. Based on the test data, conductivity parameters are generated. Similarly, thermal conductivity testing methods such as the laser scintillation method can be used to test the thermal conductivity of the same carbon fiber composite material sample in different directions, also covering the x, y, and z directions, to obtain raw data on the heat transfer capacity in each direction. Based on the test data, thermal conductivity parameters are generated.

[0056] S230. An anisotropic material model is constructed based on electrical conductivity and thermal conductivity parameters.

[0057] Specifically, the generated electrical conductivity parameters are input into the electrical properties module of the model to define the spatial direction of each parameter; similarly, the thermal conductivity parameters are input into the thermal properties module of the model, also corresponding to the correct spatial direction. After integrating the inputs, the model can use its internal algorithm to calculate the directional characteristics of current conduction and heat diffusion in subsequent simulations based on the parameter differences in different directions. For example, in current calculations, current conduction is preferentially carried out along the x-direction with high electrical conductivity, while in heat calculations, diffusion occurs along the x and z-directions with high thermal conductivity. Ultimately, this achieves accurate simulation of the anisotropic physical behavior of carbon fiber composite materials, completing the construction of the anisotropic material model.

[0058] S240. A quasi-static conductive current diffusion model is established based on the conductivity parameter, and a temperature ignition source model is constructed based on the thermal conductivity parameter.

[0059] Optionally, a quasi-static conductive current diffusion model is established based on the conductivity parameter, and a temperature ignition source model is constructed based on the thermal conductivity parameter. This includes: generating a quasi-static conductive current diffusion control equation based on the conductivity parameter; solving the quasi-static conductive current diffusion control equation to obtain potential distribution data to generate current density results and establish a quasi-static conductive current diffusion model; using the current density results as an electrothermal coupling heat source term to generate a Joule heat calculation formula to obtain a volume heat source; obtaining the composite material density and specific heat capacity; and establishing a heat conduction control equation based on the composite material density, specific heat capacity, thermal conductivity parameters, and volume heat source to generate a temperature ignition source model.

[0060] Specifically, the quasi-static conduction current diffusion control equation is established based on the law of conservation of current, combined with the anisotropic conductivity characteristics of carbon fiber composite materials. Since the effect of time-varying current on the magnetic field is negligible during lightning strikes, current conduction is driven solely by the electric field. In this case, the current has no source or sink within the material, and its divergence is zero. By combining the differential form of Ohm's law, the quasi-static conduction current diffusion control equation can be generated. .in, Represents the conductivity tensor. Indicates the potential distribution. This represents a vector differential operator. Solving the quasi-static conduction current diffusion control equation requires adherence to the principles of finite element analysis, combined with the boundary conditions of the fuel tank simulation model. Using the numerical solver of the finite element software, the control equation is discretized, decomposing the continuous fuel tank model into a large number of tetrahedral mesh elements. Numerical solutions for the electric potential are solved within each element, ultimately yielding the spatial potential distribution data for the entire model. Based on this potential distribution data, and combining the differential form of Ohm's law, the current density result is generated by calculating the gradient of the potential and multiplying it by the conductivity tensor.

[0061] Furthermore, since lightning current generates Joule heating due to material resistance during conduction in composite materials, which is the core heat source causing thermal failure of the fuel tank due to lightning strikes, it needs to be converted into a volumetric heat source that can be calculated by the model. Based on the coupling relationship between electricity and heat, and combined with Ohm's law, it can be deduced that... ,in, Indicates the body's heat source, Represents the conductivity tensor. This represents the current density. In this formula, the current density is generated by the quasi-static conduction current diffusion model. The distribution results are the core variables. Larger current concentrations in the region will generate higher Joule heating. By adjusting the current concentration of each grid cell... Value and corresponding By substituting the values ​​into the formula, the volumetric heat source distribution data of the entire fuel tank model can be calculated, thus completing the construction of the electrothermal coupling heat source term.

[0062] It should be noted that, due to the rapid temperature change of the fuel tank during a lightning strike, an unsteady-state heat conduction control equation is needed to describe the heat diffusion. Establishing this equation requires integrating the thermal parameters of the heat source and the carbon fiber composite material. First, the density of the carbon fiber composite material is obtained through material performance testing. Compared with specific heat capacity at constant pressure Combined with the already obtained anisotropic thermal conductivity tensor Based on the law of conservation of energy, the governing equation for unsteady-state heat conduction is as follows: .in, Indicates the density of the material. Indicates specific heat capacity, Indicates thermal conductivity parameter, Represents temperature field, Indicates time, Indicates the body's heat source, This represents the vector differential operator. Subsequently, by solving the unsteady-state heat conduction control equations, the spatial temperature distribution and time-varying temperature rise of the fuel tank model can be obtained, providing a theoretical basis for assessing thermal failure and ignition risk. The technical solution of this invention, by acquiring the differences in composite material properties and defining the anisotropic properties of electrical and thermal conductivity, can clearly identify the differences in material performance and provide a basis for model construction. By acquiring the electrical and thermal conductivity data of carbon fibers to generate relevant parameters, it provides core inputs that closely reflect reality, ensuring that the model reflects the actual material behavior. By establishing a quasi-static conductive current diffusion model, the conduction law of lightning current in composite materials can be accurately described, providing theoretical support for obtaining accurate current distribution results. By establishing a generation temperature ignition source model, the dynamic law of heat diffusion and temperature change during lightning strikes can be fully described, providing a reliable theoretical model for accurately obtaining the local temperature rise results of the fuel tank, ensuring accurate assessment of thermal failure and ignition risk.

[0063] Example 3 Figure 4 This is a schematic diagram of a direct lightning environment effect device for a fuel tank provided in Embodiment 3 of the present invention. Figure 4 As shown, the device includes: a model creation and property setting module 310, used to create a fuel tank simulation model and set the material properties of the fuel tank simulation model; The finite element simulation analysis module 320 is used to perform finite element solution analysis on the fuel tank simulation model with the material properties set, and generate simulation analysis results, including current distribution and local temperature rise results of the fuel tank. The comparison and verification module 330 is used to compare and verify the results of simulation analysis with the actual lightning strike test data of the fuel tank.

[0064] Optionally, the device also includes: a theoretical model construction module, used to: acquire the differences in composite material properties, generate the basis for constructing anisotropic material models, and define the anisotropic properties of electrical conductivity and thermal conductivity; acquire the electrical conductivity data of carbon fiber composite materials, generate electrical conductivity parameters, and acquire the thermal conductivity data of carbon fiber composite materials, generate thermal conductivity parameters; construct anisotropic material models based on electrical conductivity parameters and thermal conductivity parameters; establish a quasi-static conductive current diffusion model based on electrical conductivity parameters, and construct a temperature ignition source model based on thermal conductivity parameters.

[0065] Optionally, the theoretical model construction module includes: current diffusion model and ignition source model construction units, used for: generating quasi-static conductive current diffusion control equations based on conductivity parameters; solving the quasi-static conductive current diffusion control equations to obtain potential distribution data to generate current density results and establish a quasi-static conductive current diffusion model; using the current density results as an electrothermal coupling heat source term to generate a Joule heat calculation formula and obtain a volume heat source; obtaining the density and specific heat capacity of the composite material; establishing a heat conduction control equation based on the composite material density, specific heat capacity, thermal conductivity parameters, and volume heat source to generate a temperature ignition source model.

[0066] Optionally, the model building and attribute setting module 310 specifically includes: a simulation model building unit, used to: select the composite material fuel tank box segment as the simulation analysis object of thermal ablation; set the geometric dimensions for the simulation analysis object, and generate a fuel tank simulation model, wherein the geometric dimensions include the total length, width, height, current injection and outflow points from the fuel tank cap.

[0067] Optionally, the model building and attribute setting module 310 specifically includes: a material attribute setting unit, used to: extract the thermal conductivity and electrical conductivity parameters of carbon fiber composite materials in the anisotropic material model; input the thermal conductivity and electrical conductivity parameters into the fuel tank simulation model to complete the material attribute configuration.

[0068] Optionally, the finite element simulation analysis module 320 is specifically used for: meshing the fuel tank simulation model with set material properties using tetrahedral mesh elements to generate a finite element model; setting current injection, outflow points and environmental boundaries for the finite element model, and setting electrical connections and conduction paths for the finite element model to generate a solution model; performing finite element solution analysis on the solution model, and outputting the current distribution based on the quasi-static conductive current diffusion model, and outputting the local temperature rise results of the fuel tank based on the temperature ignition source model.

[0069] Optionally, the comparison and verification module 330 is specifically used for: conducting lightning strike tests on the fuel tank specimen, recording the actual lightning strike test data of the lightning strike point, wherein the actual lightning strike test data includes the actual ablation area; determining the simulated ablation area from the simulation analysis results; determining the overlap ratio between the actual ablation area and the simulated ablation area, and determining the simulation analysis results as valid when the overlap ratio is greater than a preset threshold.

[0070] The technical solution of this invention accurately recreates the geometric features and material properties of the fuel tank through a digital model, providing a realistic virtual platform for subsequent simulations. Finite element simulation analysis generates current distribution and local temperature rise results for the fuel tank, providing quantitative data support for targeted protection design schemes. Compared to actual tests, it can quickly cover different lightning strike scenarios, significantly shortening the analysis cycle. Comparative verification confirms the reliability of the simulation results, enabling subsequent optimization of fuel tank lightning protection design and airworthiness certification analysis to be directly conducted through simulation, reducing reliance on repeated actual tests and lowering overall R&D and testing costs.

[0071] The direct effect device for lightning environment of a fuel tank provided in the embodiments of the present invention can execute the direct effect method for lightning environment of a fuel tank provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0072] Example 4 Figure 5A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0073] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0074] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0075] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as a method for analyzing the direct effects of lightning on a fuel tank environment.

[0076] In some embodiments, a method for analyzing the direct effects of lightning on a fuel tank environment can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for analyzing the direct effects of lightning on a fuel tank environment described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform a method for analyzing the direct effects of lightning on a fuel tank environment by any other suitable means (e.g., by means of firmware).

[0077] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0078] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0079] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0080] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0081] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0082] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0083] Example 5 This invention provides a method for analyzing the direct environmental effects of lightning on fuel tanks, comprising the following steps: A fuel tank simulation model is established, and the material properties of the fuel tank simulation model are set. A finite element method is used to solve the simulation model of the fuel tank after setting the material properties, and simulation analysis results are generated. The simulation analysis results include current distribution and local temperature rise of the fuel tank. The simulation analysis results were compared and verified with actual lightning strike test data of the fuel tank.

[0084] Optionally, before establishing the fuel tank simulation model, the method further includes: The differences in composite material properties are obtained to generate the basis for constructing anisotropic material models, and the anisotropic properties of electrical conductivity and thermal conductivity are defined. The electrical conductivity data of carbon fiber composite materials are obtained to generate electrical conductivity parameters, and the thermal conductivity data of carbon fiber composite materials are obtained to generate thermal conductivity parameters. An anisotropic material model is constructed based on the electrical conductivity parameter and the thermal conductivity parameter; A quasi-static conductive current diffusion model is established based on the conductivity parameter, and a temperature ignition source model is constructed based on the thermal conductivity parameter.

[0085] Optionally, the step of establishing a quasi-static conductive current diffusion model based on the conductivity parameter and constructing a temperature ignition source model based on the thermal conductivity parameter includes: Based on the conductivity parameters, a quasi-static conduction current diffusion control equation is generated. The potential distribution data is obtained by solving the quasi-static conduction current diffusion control equation to generate current density results and establish a quasi-static conduction current diffusion model. The current density result is used as the electrothermal coupling heat source term to generate the Joule heat calculation formula, and the volume heat source is obtained. Obtain the density and specific heat capacity of the composite material, and establish a heat conduction control equation based on the composite material density, specific heat capacity, thermal conductivity parameters and the bulk heat source to generate a temperature ignition source model.

[0086] Optionally, establishing the fuel tank simulation model includes: Composite material fuel tank box segment was selected as the simulation analysis object for thermal ablation; Set the geometric dimensions for the simulation analysis object to generate a fuel tank simulation model, wherein the geometric dimensions include the total length, width, height, and distance of the current injection and outflow points from the fuel tank cap.

[0087] Optionally, setting the material properties of the fuel tank simulation model includes: Extract the thermal conductivity and electrical conductivity parameters of the carbon fiber composite material from the anisotropic material model; Input the thermal conductivity and electrical conductivity parameters into the fuel tank simulation model to complete the material property configuration.

[0088] Optionally, the step of performing finite element analysis on the fuel tank simulation model with set material properties and generating simulation analysis results includes: Tetrahedral mesh elements were used to mesh the fuel tank simulation model after setting the material properties, and a finite element model was generated. Set current injection and outflow points and environmental boundaries for the finite element model, and set electrical connections and conduction paths for the finite element model to generate a solution model; The solution model is analyzed by finite element method, and the current distribution is output based on the quasi-static conductive current diffusion model, and the local temperature rise of the fuel tank is output based on the temperature ignition source model.

[0089] Optionally, the comparison and verification based on the simulation analysis results and actual lightning strike test data of the fuel tank includes: A lightning strike test was conducted on the fuel tank specimen, and the actual lightning strike test data of the lightning strike point was recorded. The actual lightning strike test data included the actual ablation area. The simulated ablation region is determined from the simulation analysis results; The overlap ratio between the actual ablation region and the simulated ablation region is determined. When the overlap ratio is greater than a preset threshold, the simulation analysis result is determined to be valid.

[0090] Thus, the objective of this invention has been achieved.

[0091] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for analyzing the direct environmental effects of lightning on fuel tanks, characterized in that, Includes the following steps: A fuel tank simulation model is established, and the material properties of the fuel tank simulation model are set. The material properties include at least the anisotropic electrical conductivity and anisotropic thermal conductivity of the carbon fiber composite material. A finite element method is used to solve the simulation model of the fuel tank after setting the material properties, and simulation analysis results are generated. The simulation analysis results include the current distribution obtained based on the quasi-static conductive current diffusion model and the local temperature rise results of the fuel tank obtained based on the temperature ignition source model. The simulation analysis results were compared and verified with actual lightning strike test data of the fuel tank to confirm the validity of the simulation results.

2. The method for analyzing the direct environmental effects of lightning on a fuel tank according to claim 1, characterized in that, Before establishing the fuel tank simulation model, the process also includes constructing a physical theoretical model, specifically including: Obtain the anisotropic electrical conductivity and anisotropic thermal conductivity parameters of carbon fiber composite materials; Based on the aforementioned conductivity parameters, a quasi-static conductive current diffusion model is established for solving the current distribution. Based on the thermal conductivity parameters, composite material density, specific heat capacity, and Joule heat source calculated from the current distribution, a temperature ignition source model is established for solving the temperature field.

3. The method for analyzing the direct environmental effects of lightning on a fuel tank according to claim 2, characterized in that, The establishment of the quasi-static conduction current diffusion model includes: Based on the anisotropic conductivity parameters, a quasi-static conduction current diffusion control equation is constructed: ,in Let be the conductivity tensor. For electric potential, It is a vector differential operator; Solving the governing equations yields potential distribution data, which in turn generates current density distribution results.

4. The method for analyzing the direct environmental effects of lightning on a fuel tank according to claim 2, characterized in that, The establishment of the temperature ignition source model includes: The current density distribution result is taken as the electrothermal coupling heat source term, according to the Joule heating formula. The body heat source was calculated. ,in For current density, For electrical conductivity tensor; According to the density of the composite material Specific heat capacity Anisotropic thermal conductivity parameter tensor and the body heat source Establish the unsteady-state heat conduction control equation: ,in For temperature field, For time, It is a vector differential operator.

5. The method for analyzing the direct environmental effects of lightning on a fuel tank according to claim 1, characterized in that, The establishment of the fuel tank simulation model includes: Composite material fuel tank box segment was selected as the simulation analysis object; The geometric dimensions of the analysis object are set to generate a fuel tank simulation model, including the total length, width, height of the model, and the distances from the current injection point and the current outflow point to the fuel tank cap.

6. The method for analyzing the direct environmental effects of lightning on a fuel tank according to claim 2, characterized in that, Setting material properties for the fuel tank simulation model includes: The anisotropic thermal conductivity and electrical conductivity parameters of the carbon fiber composite material in the anisotropic material model are input into the fuel tank simulation model according to the material layup direction to complete the material property configuration.

7. The method for analyzing the direct environmental effects of lightning on a fuel tank according to claim 1, characterized in that, The finite element analysis of the fuel tank simulation model with its material properties set includes: The fuel tank simulation model was meshed using tetrahedral mesh elements to generate a finite element model. Set current injection points, outflow points, and environmental boundary conditions for the finite element model, define electrical connections and conduction paths, and generate a solution model; The solution model is solved using the finite element method, and the current distribution and local temperature rise of the fuel tank are output.

8. The method for analyzing the direct environmental effects of lightning on a fuel tank according to claim 1, characterized in that, The comparison and verification of the simulation analysis results with actual lightning strike test data of the fuel tank includes: Lightning strike tests were conducted on fuel tank specimens, and actual lightning strike test data, including the actual ablation area, were recorded. From the local temperature rise results of the simulation analysis, the region where the temperature exceeds the material's thermal failure threshold is extracted as the simulated ablation region; Calculate the overlap ratio between the actual ablation area and the simulated ablation area. When the overlap ratio is greater than a preset threshold, the simulation analysis result is deemed valid.

9. A system for analyzing the direct environmental effects of lightning on fuel tanks, characterized in that, include: The model creation and attribute setting module is used to create a fuel tank simulation model and set the material properties of the fuel tank simulation model. The finite element simulation analysis module is used to perform finite element solution analysis on the fuel tank simulation model with the material properties set, and generate simulation analysis results, including current distribution and local temperature rise results of the fuel tank. The comparison and verification module is used to compare and verify the simulation analysis results with the actual lightning strike test data of the fuel tank.

10. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory that is communicatively connected to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method as described in any one of claims 1 to 8.

Images