Power transmission tower safety performance verification method, device, equipment and medium

Abstract

The invention provides a power transmission tower safety performance verification method and device, equipment and a medium, and the method mainly comprises the steps: constructing a combined model comprising an iron tower analysis model, an unmanned plane nest model and a fan model, setting material parameters and boundary conditions for the combined model, and carrying out the static and dynamic simulation, thereby carrying out the safety performance judgment of a power transmission tower. By means of verification from whole to segmentation, the calculation process is simplified, the calculation efficiency is improved, division of labor and cooperation are facilitated, and the evaluation accuracy of the safety performance of the power transmission tower under the influence of the machine nest supply device is improved.

Description

Technical Field

[0001] This application relates to the field of power technologies, and in particular, to a method, apparatus, device, and medium for verifying the safety performance of transmission towers. Background Art

[0002] With the wide application of UAV inspection technology in the power industry, the on-tower nacelle replenishment device has become an important means to improve the inspection efficiency of transmission lines.

[0003] However, the traditional methods for verifying the safety performance of transmission towers have problems such as complex calculation processes, low efficiency, and insufficient accuracy, and there is a lack of a comprehensive and accurate safety performance evaluation method for transmission towers with nacelle replenishment devices. Summary of the Invention

[0004] This application proposes a method, apparatus, device, and medium for verifying the safety performance of transmission towers, which can solve one of the problems existing in the background art.

[0005] To achieve the above object, this application adopts the following technical solutions:

[0006] In a first aspect, a method for verifying the safety performance of a transmission tower is provided. The method includes:

[0007] Construct a combined model of the transmission tower, where the combined model includes: a tower split model, a UAV nacelle model, and a wind turbine model;

[0008] Set the material parameters and boundary conditions involved in the combined model;

[0009] Based on the material parameters and boundary conditions, perform static simulation and dynamic simulation on the combined model; and

[0010] Judge the safety performance of the transmission tower according to the results of the static simulation and the dynamic simulation.

[0011] Based on the above technical solutions, mainly by constructing a combined model including a tower analysis model, a UAV nacelle model, and a wind turbine model, setting its material parameters and boundary conditions, and then performing static and dynamic simulations, the safety performance of the transmission tower is judged. In this way, by adopting the method of verifying from the whole to the segments, the calculation process is simplified, the calculation efficiency is improved, and it is convenient for division of labor and cooperation, so as to improve the accuracy of evaluating the safety performance of the transmission tower under the influence of the nacelle replenishment device.

[0012] In a possible design of the first aspect, the static simulation includes:

[0013] Use the Hypermesh finite element mesh tool to mesh the tower split model to obtain a mesh model;

[0014] Configure the drone nest model and the fan model for the grid model, and apply corresponding loads to obtain an optimized model; and

[0015] Import the optimized model into Ansys finite element software, start static analysis calculation, and obtain stress and strain results,

[0016] Judge the safety performance of the transmission tower according to the static simulation results, specifically:

[0017] Judge the safety performance of the transmission tower under static load conditions according to the stress and strain results, so as to trigger the optimization of the configuration scheme of the drone nest model and the fan model or the optimization of the transmission tower structure.

[0018] In a possible design manner of the first aspect, the dynamic simulation includes: solving the natural frequency and vibration mode of the tower and / or predicting the wind resistance level, and the wind resistance level prediction includes:

[0019] Modifying the failure criterion of the JC constitutive model;

[0020] Solving the wind pressure of the split tower used to simulate the action of wind on the tower;

[0021] Simulating the typical wind speed of the tower used to simulate the interaction between the wind field, the fan and the tower under different fan wind speeds; and

[0022] Predicting the wind resistance level used to determine the wind resistance speed at each position of the transmission tower by stress-wind speed numerical fitting analysis.

[0023] In a possible design manner of the first aspect, modifying the failure criterion of the JC constitutive model includes:

[0024] Introduce a first correction factor for overall expression correction of the original JC constitutive model and a second correction factor for local expression correction of the dimensionless strain in the original JC constitutive model, and correct the failure criterion of the original JC constitutive model.

[0025] In a possible design manner of the first aspect, the modified JC constitutive model is:

[0026]

[0027] Wherein, σ 修正 is the modified material theoretical dynamic stress value, α is the first correction factor, β is the second correction factor, A is the material yield strength under static load, B and n are the strain hardening parameters of the material, m is the temperature softening index, C is the strain rate sensitivity coefficient, is the dimensionless strain rate, is the strain rate, T *is a dimensionless temperature term.

[0028] In a possible design of the first aspect, the experimental data is fitted by the least squares method to optimize the first correction factor and the second correction factor.

[0029] In a possible design of the first aspect, the following formula is used to optimize the first correction factor and the second correction factor:

[0030]

[0031] where N is the number of experimental data points, is the dynamically measured stress value.

[0032] In a second aspect, a safety performance verification device for a transmission tower is provided. The device includes:

[0033] A construction unit for constructing a combined model of the transmission tower, the combined model including: a tower split model, a drone nest model, and a fan model;

[0034] A setting unit for setting the material parameters and boundary conditions involved in the combined model;

[0035] A simulation unit for performing static simulation and dynamic simulation on the combined model based on the material parameters and boundary conditions; and

[0036] A judgment unit for judging the safety performance of the transmission tower according to the results of the static simulation and the dynamic simulation.

[0037] In a third aspect, an electronic device is provided. The electronic device includes: a processor, and a memory coupled to the processor. The memory is used to store a computer program; the processor is used to execute the computer program stored in the memory so that the electronic device executes the method according to any one of the possible implementation manners in the first aspect.

[0038] In a fourth aspect, a computer-readable storage medium is provided, including a computer program or instruction. When the computer program or instruction runs on a computer, the computer is made to execute the method according to any one of the possible implementation manners in the first aspect.

[0039] In a fifth aspect, a computer program product is provided, including: a computer program or instruction. When the computer program or instruction runs on a computer, the computer is made to execute the method according to any one of the possible implementation manners in the first aspect. Description of the Drawings

[0040] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings in the following description are only some embodiments of the embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0041] Figure 1 is a flowchart of an efficient and reliable method for verifying the safety performance of a 220kV transmission tower provided by an embodiment of the present application;

[0042] Figure 2 is a flowchart of a failure criterion for constructing a modified JC constitutive model based on Q235 steel provided by an embodiment of the present application. Detailed implementation manners

[0043] In order to make the purpose, technical solutions and advantages of the present application more clear, the following further details the present application in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0044] It should be noted that although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from the module division in the device or the flowchart in the flowchart. Terms such as "first" and "second" in the specification, claims and the above drawings are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0046] The embodiments of the present application provide an efficient and reliable method for verifying the safety performance of a 220kV transmission tower with a machine nest replenishment device. By adopting a method of verifying from the whole to the segments, the calculation process is simplified, the calculation efficiency is improved, and it is convenient for division of labor and cooperation to accurately evaluate the safety performance of the transmission tower under the influence of the machine nest replenishment device.

[0047] 1. Geometric modeling of a transmission tower with a wind turbine

[0048] A. Sub - modeling of the transmission tower

[0049] According to the structural connection points of the transmission tower (the connection between the cross arm and the tower body, the interface between the tower leg and the foundation) and the load distribution characteristics (the areas where the nacelle and the additional loads of the wind turbine act), the tower is divided into 6 independent segments, specifically including the top cross arm of the tower, the goblet mouth and the upper tower body, the middle section of the tower body (the nacelle installation position, the 16m corner), the lower section of the tower body, the upper part of the tower leg, and the lower part of the tower leg. Each part is modeled independently, and the overall 3D modeling of the transmission tower is completed through assembly.

[0050] B. Geometric Modeling of the Wind Turbine Structure

[0051] The coaxial contra-rotating wind turbine is designed with two wind wheels rotating in opposite directions, which can utilize wind energy at different levels more efficiently. The anti-symmetric structure can reduce the influence of turbulence and improve the system stability. When constructing the geometric model of the coaxial contra-rotating wind turbine, during the modeling process, the actual shapes, sizes, and connection methods of each component of the wind turbine, as well as its motion characteristics in the wind field, are fully considered.

[0052] C. Geometric Modeling of the Nacelle Structure

[0053] After completing the modeling of the nacelle structure according to the above modeling method, it is assembled with the transmission tower and wind turbine models to form a complete transmission tower model with a wind turbine.

[0054] 2. Set Material Parameters and Boundary Conditions

[0055] In the finite element analysis software, according to the material properties actually used, accurate material parameters are set for the transmission tower, the wind turbine, and the nacelle. For the common carbon structural steel used in the tower, its density is set to 7850 kg / m 3 , the Young's modulus is 210000 MPa, and the Poisson's ratio is 0.3, etc. At the same time, according to the actual installation and working conditions of the tower, fixed constraints are applied to the four corners of the tower frame to simulate the connection method between the bottom of the tower and the foundation, ensuring that the force condition of the model conforms to the actual working conditions.

[0056] 3. Ansys Static Simulation

[0057] The Hypermesh finite element mesh tool is used to optimize the tetrahedral mesh division of the 3D models of each segment of the tower. The mesh size is 50 mm, and the local stress concentration area is encrypted to 10 mm to ensure that the total number of meshes for each segment ≤ 180,000, and the total number of meshes for the overall transmission tower is about 1,080,000, reducing the amount of calculation while ensuring the calculation accuracy of the model.

[0058] In the static analysis, the relationship between the stress σ and the strain ε of the material is:

[0059] σ = E·ε

[0060] In the formula, E is the Young's modulus, σ is the stress of the material, and ε is the strain of the material.

[0061] Grid Convergence Index (GCI):

[0062] Verify the influence of mesh generation on the results and ensure the calculation accuracy:

[0063]

[0064] In the formula, e is the result error under adjacent mesh sizes, r is the mesh refinement ratio (r = 2 means the mesh size is halved), p is the order of convergence, and F S is the safety factor.

[0065] Considering that the transmission line is 220 kV, set the unilateral load to 670 kg and the nacelle load to 60 kg. According to the requirements of the electric field and the UAV flight, design the layout plan of the nacelle on the transmission tower. Arrange the fan at the position of the wine glass mouth, and arrange the UAV nacelle at the corner of the tower body at 16 m, which is convenient for the UAV to take off and land, and can ensure that the nacelle maintains a safe distance from the transmission line and other equipment. After determining the layout plan, according to the set parameters such as the unilateral load of 670 kg and the nacelle load of 60 kg, apply the corresponding load accurately through the loading tool. During the loading process, fully consider the distribution method and action direction of the load, simulate the external forces on the iron tower under actual working conditions, and ensure the reliability of the analysis results.

[0066] Analysis of stress and strain results. Import the optimized mesh model into Ansys finite element software, set the solver type, number of iterations, convergence criterion, etc., and start the static analysis calculation. If convergence difficulties or abnormal results occur during the calculation process, adjust the analysis parameters or check the model settings in a timely manner. After the calculation is completed, obtain the stress and strain distribution of the transmission tower under these loads, obtain the overall equivalent strain and equivalent stress data, calculate the maximum equivalent strain and maximum equivalent stress, and compare them with the allowable stress of the material to judge the safety of the tower under static load. If the stress of the tower under static load is much less than the allowable stress of the material, it indicates that under the current supply device, the tower has sufficient safety under static load conditions; otherwise, it is necessary to re-evaluate the layout plan or strengthen the structural design of the tower.

[0067] 4. Ansys Dynamic Simulation

[0068] A. Solving the natural frequency and vibration mode of the iron tower

[0069] For the imported tower model, according to the characteristics of carbon steel materials, set the material parameters of the tower in Ansys, including density 7850 kg / m3, Young's modulus 210000, Poisson's ratio 0.3, etc.; according to the characteristics of glass fiber reinforced composite materials, set the material parameters of the fan blade, including density 1800 kg / m3, Young's modulus 25000, etc.

[0070] After the material properties are set, mesh generation is performed on the tower model. On the premise of ensuring the calculation accuracy, the mesh distribution is optimized to reduce the number of unnecessary meshes. For the key node parts of the tower, due to the obvious stress concentration phenomenon, the mesh size between 5 - 10 mm is adopted to more accurately capture the stress changes. For parts such as the pole body of the tower, where the stress changes are relatively gentle, the mesh size is appropriately increased to 15 - 20 mm to ensure accurate simulation of the structural mechanical behavior while effectively controlling the number of meshes and avoiding excessive calculation volume.

[0071] Simulate the constraint conditions during the actual installation of the iron tower, apply fixed constraints to the four corners of the tower to restrict its degrees of freedom in three translational directions and three rotational directions, so that it conforms to the situation where the bottom of the tower is firmly connected to the foundation in actual engineering. During the constraint setting process, it is necessary to ensure that the constraint conditions are accurate to avoid deviations in the analysis results due to improper constraints.

[0072] The eigenvalue equation of modal analysis:

[0073] Modal analysis obtains the natural frequencies and vibration modes by solving the eigenvalue problem:

[0074] ([K] - ω 2 [M]){φ} = 0

[0075] In the formula, [K] is the stiffness matrix, [M] is the mass matrix, ω is the fixed angular frequency, and {φ} is the vibration mode vector.

[0076] Start modal analysis. The results of modal analysis are presented in the form of natural frequencies and vibration modes. The natural frequencies reflect the vibration characteristics of the tower itself. Different orders of natural frequencies correspond to different vibration modes. By analyzing these natural frequencies and vibration modes, evaluate the vibration forms of the tower at different vibration frequencies, and judge whether the tower will resonate in the working environment to ensure the structural stability of the tower.

[0077] B. Construct a failure criterion based on the modified JC (Johnson - Cook) constitutive model of Q235 steel

[0078] The JC constitutive model is a constitutive model widely used in impact dynamics. It comprehensively considers the relationship between flow stress and strain, strain rate, and temperature, and can meet the simulation material requirements under various conditions.

[0079] To improve the safety verification accuracy of transmission towers under extreme wind loads, combined with the dynamic mechanical properties of Q235 steel, construct a failure criterion based on the modified JC constitutive model of Q235 steel.

[0080] The original JC constitutive model

[0081]

[0082] In the formula, σ represents the stress of Q235 steel, A represents the material yield strength under static load, B and n represent the strain hardening parameters of the material, m represents the temperature softening index, which characterizes the attenuation degree of material strength with the increase of temperature. C is the strain rate sensitivity coefficient, is the dimensionless strain rate, is the strain rate of Q235 steel, is the reference strain rate, usually taking the quasi-static strain rate of 10 - 3 S -1 . T * is the dimensionless temperature term, T room is the room temperature, T melt is the melting point of the material.

[0083] The traditional JC model calibrates parameters based on quasi-static tests and does not fully reflect the dynamic response characteristics of Q235 steel under extreme wind loads (wind levels 1-16). Therefore, the true stress-strain curve at different strain rates is extracted through dynamic tensile tests, and the traditional JC model is optimized by introducing correction factors α and β.

[0084] (1) Wind speed-strain rate mapping relationship

[0085] Based on the structural dynamics under wind pressure, the relationship between wind speed v and strain rate is established as follows:

[0086]

[0087] In the formula, ρ is the air density, C d is the wind resistance coefficient, A proj is the windward projected area, E is the elastic modulus of Q235 steel, A eff is the effective bearing cross-sectional area of the iron tower, t load is the action time of the dynamic load.

[0088] (2) Wind speed grading and strain rate range calibration

[0089] According to the wind speed range of wind levels 1-16 (1.6-55 m / s), the strain rate intervals of key parts are calibrated through wind tunnel tests and numerical inversion:

[0090]

[0091] In the formula, is the strain rate of Q235 steel, and k and γ are fitting parameters, which are determined by the structural characteristics of the iron tower and the distribution of the wind field.

[0092] Dynamic tensile test design and data acquisition

[0093] The true stress-strain relationship of Q235 steel at different strain rates is obtained through high-speed tensile tests, and its mathematical expression is:

[0094]

[0095] In the formula, ε is the strain of the material, is the strain rate of the material.

[0096] After extracting the true stress-strain curves at different strain rates, a correction factor is introduced to optimize the JC model.

[0097] Introduction of Correction Factor and Optimization of JC Model

[0098] Correction factors α and β are introduced into the original JC model, and its corrected model mathematical expression is:

[0099]

[0100] The experimental data is fitted by the least squares method to optimize the correction factor:

[0101]

[0102] In the formula, N is the number of experimental data points, is the measured dynamic stress value.

[0103] The prediction errors before and after correcting the JC model are compared to verify the effectiveness of the correction factor:

[0104]

[0105] (3) Dynamic Simulation Verification and Definition of Dynamic Failure Criterion

[0106] In Ansys, the corrected JC model parameters are imported through the user-defined material interface. Based on the wind speed-strain rate relationship, the dynamic wind pressure load is defined, and the maximum stable time step is determined according to the Courant-Friedrichs-Lewy (CFL) condition:

[0107]

[0108] In the formula, L min is the minimum element size, and c is the material stress wave speed.

[0109] The dynamic failure criterion conditions are defined by integrating stress, strain, and energy thresholds:

[0110] Stress criterion:

[0111] In the formula, σ von Mises is the equivalent yield strength of the material, is the corrected critical stress threshold. When the equivalent yield strength of the material exceeds the corrected critical stress threshold, it is determined that the structure has a risk of dynamic failure.

[0112] Strain criterion: ε 等效 ≥ε failure

[0113] In the formula, ε 等效 represents the equivalent plastic strain of the material, and ε failure represents the strain failure threshold of the material under dynamic load.

[0114] When the equivalent plastic strain of the material reaches or exceeds the strain failure threshold, it is determined that the material fails due to excessive deformation.

[0115]

[0116] Energy criterion:

[0117] In the formula, σ is the real-time stress of the material, is the real-time strain rate of the material, and W crit represents the critical energy absorption value, which represents the maximum energy that the material can absorb before failure and is determined through experiments or simulations. When the cumulative value of the energy absorbed by the material during dynamic loading exceeds the critical energy threshold, it is determined that the structure fails due to energy overload.

[0118] If any of the above conditions are met, it is determined that the structure has a risk of failure.

[0119] Through the above systematic modeling, a full-chain technical solution from material constitutive correction, dynamic mapping of wind loads to update of failure criteria is achieved. This solution significantly improves the accuracy of the safety assessment of iron towers under extreme wind loads. The maximum error of the correction model is reduced from 15% to 4%, and the dynamic failure criterion can give an early warning of the structural risk 10%-15% in advance. Through mathematical derivation and engineering verification, this solution significantly improves the reliability of the safety assessment of iron towers under extreme wind loads.

[0120] C. Wind pressure solution of split iron tower

[0121] The dynamic simulation of the wind field is carried out in a split manner. The material properties of each component of the iron tower are defined and the boundary conditions are set. According to the research requirements and actual situation, the type and loading method of the dynamic load are determined to ensure that the load is accurately applied to the windward surface of the iron tower model to simulate the action of the actual wind on the iron tower.

[0122] According to the characteristics of the established discrete model, select an appropriate solver and set relevant parameters of the solver, such as time step, solution time, convergence criterion, etc. Considering both computational accuracy and computational efficiency, select a time step between 0.01 - 0.1 s to ensure that the dynamic response can be accurately captured. Set the displacement convergence tolerance to 0.001 mm and the force convergence tolerance to 0.1 N according to the requirements of the solver and the analysis accuracy to ensure the accuracy and stability of the calculation results.

[0123] After setting the solution parameters, start the calculation. During the calculation process, closely monitor the solution progress and convergence situation. View the calculation results of each iteration through the monitoring window of Ansys and observe the changing trends of parameters such as displacement and force. If there is a situation where the calculation does not converge or abnormal results occur, such as excessive displacement, sudden stress change, etc., immediately pause the calculation, check whether there are problems in aspects such as model settings, load application, and solution parameters, and recalculate after adjustment.

[0124] D. Simulation of Typical Wind Speeds of the Iron Tower

[0125] Set the dynamic simulation parameters of the wind field, and set working conditions at different wind speeds such as the rated wind speed of 11.5 m / s (Grade 6 wind), 37.2 m / s (Grade 13 wind), 55 m / s (Grade 16 wind), etc. Use the computational fluid dynamics (CFD) method to simulate the interaction between the wind field, the fan, and the iron tower, obtain the pressure change contour maps and equivalent stress and strain contour maps of each component at different wind speeds, analyze the distribution laws of the wind pressure and stress and strain of each component at different wind speeds, and evaluate the influence of the structural form of the fan on the safety of the iron tower.

[0126] To further explain the reasons for the wind speed selection, 11.5 m / s is the rated wind speed of the fan, and it is necessary to determine the mechanical properties of the transmission iron tower when the fan is working normally; 37.2 m / s is a wind speed exceeding Grade 12 wind. Generally, dangerous situations will occur when the transmission iron tower faces the wind load of Grade 12 wind. Therefore, after loading the nacelle replenishment device on the iron tower, it is necessary to evaluate the mechanical properties of the iron tower; the wind speed of 55 m / s is the safety wind speed of the fan, reaching the limit wind load of the fan. Since the iron tower and the fan are an integral whole, it is necessary to evaluate the mechanical properties of the iron tower with the nacelle replenishment device at this time.

[0127] E. Prediction of Wind Resistance Level

[0128] Collect the stress data of the key components (tower legs, nacelle, cross arm) of the iron tower at different wind speeds, and use Matlab to perform numerical fitting on the stress - wind speed data at the positions of the tower legs and the nacelle to establish a mathematical relationship model between stress and wind speed. Through fitting analysis, calculate the wind resistance speeds at positions such as the tower legs and the nacelle of the tower body. Considering the wind resistance speeds at each position of the transmission iron tower comprehensively, determine the wind resistance speed level of the transmission iron tower loaded with the nacelle and the fan.

[0129] 5. Determine the safety performance of the iron tower

[0130] According to the wind resistance level and the stress and strain conditions of each component under different wind speeds, comprehensively evaluate the safety of the transmission iron tower in different wind speed environments, providing an important reference basis for the operation and maintenance and design optimization of the transmission line. If the stress of a key component exceeds the allowable stress at a certain wind speed, it is determined that there is a safety risk for the iron tower under this working condition; if the stress of the key component is within the allowable range under various wind speed working conditions and the wind resistance level meets the actual requirements, it is determined that the safety performance of the iron tower is good. If the wind speed in the actual operation area is close to or exceeds the predicted wind resistance speed, corresponding reinforcement measures need to be taken, such as increasing the material strength of the iron tower and optimizing the structural design, etc., to enhance the overall stiffness and stability of the transmission iron tower. After taking the reinforcement measures, re-perform the simulation analysis to verify the reinforcement effect and ensure the safe and stable operation of the transmission line under severe wind conditions.

[0131] The embodiment of the present application also provides a device for verifying the safety performance of a transmission iron tower, and the device includes:

[0132] A construction unit, used for constructing a combined model of the transmission iron tower, and the combined model includes: an iron tower split model, a drone nest model, and a fan model;

[0133] A setting unit, used for setting the material parameters and boundary conditions involved in the combined model;

[0134] A simulation unit, used for performing static simulation and dynamic simulation on the combined model based on the material parameters and boundary conditions; and

[0135] A judgment unit, used for judging the safety performance of the transmission iron tower according to the results of the static simulation and the dynamic simulation.

[0136] The embodiment of the present application also provides an electronic device, including: a processor, and a memory coupled to the processor, and the memory is used for storing a computer program; the processor is used for executing the computer program stored in the memory so that the electronic device executes the method described in any one of the above embodiments.

[0137] The electronic device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The electronic device may include, but is not limited to, a processor and a memory.

[0138] The so-called processor may be a Central Processing Unit (CPU), or may also be 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. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the electronic device, and connects various parts of the entire device using various interfaces and lines.

[0139] The memory can be used to store the computer program. The processor realizes various functions of the electronic device by running or executing the computer program stored in the memory and calling the data stored in the memory.

[0140] The memory may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

[0141] The embodiments of the present application also provide a storage medium. The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of the above various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0142] The embodiment of the present application also provides a computer program product, including: a computer program or instruction, when the computer program or instruction runs on a computer, enabling the computer to execute the method of any of the above possible implementation manners.

[0143] The above is the preferred implementation manner of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present application.

Claims

1. A method for verifying the safety performance of a transmission tower, characterized in that, The method includes: Constructing a combined model of a transmission tower, where the combined model includes: a tower split model, a drone nest model, and a wind turbine model; Setting the material parameters and boundary conditions involved in the combined model; Based on the material parameters and boundary conditions, performing static simulation and dynamic simulation on the combined model; and Judging the safety performance of the transmission tower according to the results of the static simulation and the dynamic simulation.

2. The method according to claim 1, characterized in that, The static simulation includes: Using the Hypermesh finite element mesh tool to mesh the tower split model to obtain a mesh model; Configuring the drone nest model and the wind turbine model for the mesh model and applying corresponding loads to obtain an optimized model; and Importing the optimized model into Ansys finite element software, starting static analysis calculation, obtaining stress and strain results, and judging the safety performance of the transmission tower according to the static simulation results. Specifically: Judging the safety performance of the transmission tower under static load conditions according to the stress and strain results to trigger the optimization of the configuration scheme of the drone nest model and the wind turbine model or the optimization of the transmission tower structure.

3. The method according to claim 1, characterized in that The dynamic simulation includes: solving the natural frequency and vibration mode of the tower and / or predicting the wind resistance level. The wind resistance level prediction includes: Modifying the failure criterion of the JC constitutive model; Solving the wind pressure of the split tower used to simulate the action of wind on the tower; Performing typical wind speed simulation of the tower used to simulate the interaction between the wind field, the wind turbine, and the tower under different wind turbine wind speeds; and Performing wind resistance level prediction used to determine the wind resistance speed at each position of the transmission tower by using stress-wind speed numerical fitting analysis.

4. The method according to claim 3, wherein Modifying the failure criterion of the JC constitutive model includes: Introducing a first correction factor for overall expression correction of the original JC constitutive model and a second correction factor for local expression correction of the dimensionless strain in the original JC constitutive model to correct the failure criterion of the original JC constitutive model.

5. The method according to claim 4, characterized in that The modified JC constitutive model is: Among them, σ 修正 is the corrected theoretical dynamic stress value of the material, α is the first correction factor, β is the second correction factor, A is the material yield strength under static load, B and n are the strain hardening parameters of the material, m is the temperature softening index, C is the strain rate sensitivity coefficient, is the dimensionless strain rate, is the strain rate, and T * is the dimensionless temperature term.

6. The method according to claim 5, wherein Optimizing the first correction factor and the second correction factor by fitting experimental data using the least squares method.

7. The method according to claim 6, characterized in that, The following formula is used to optimize the first correction factor and the second correction factor: where N is the number of test data points, is the dynamically measured stress value.

8. A safety performance verification device for a transmission tower, characterized in that, The device includes: A construction unit for constructing a combined model of a transmission tower, where the combined model includes: a tower split model, a drone nest model, and a wind turbine model; A setting unit for setting the material parameters and boundary conditions involved in the combined model; A simulation unit for performing static simulation and dynamic simulation on the combined model based on the material parameters and boundary conditions; and A judging unit for judging the safety performance of the transmission tower according to the results of the static simulation and the dynamic simulation.

9. An electronic device, characterized in that, The electronic device includes: a processor, and a memory coupled to the processor, The memory for storing a computer program; and The processor for executing the computer program stored in the memory so that the electronic device executes the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a computer program or instructions that, when run on a computer, cause the computer to execute the method according to any one of claims 1-7.

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