Method for identifying and evaluating residual bearing capacity of corroded tower material of transmission tower

Abstract

The invention relates to the technical field of tower bearing capacity analysis, in particular to a method for identifying and evaluating residual bearing capacity of a transmission tower corroded tower material. The method comprises the following steps: detecting a tower corrosion area, calculating corrosion depth, establishing a three-dimensional finite element model, dynamically updating geometric morphology and material parameters of the corrosion area, including attenuation of yield strength and elastic modulus, simulating stress and deformation conditions of the tower under different load working conditions, and determining residual bearing capacity; a propagation model of a collapse load and impact energy of a flying object are introduced, the influence of the collapsed tower on surrounding towers and possible chain reaction are predicted, the flying object can be generated in the falling process of a component of the collapsed tower, the flying object can generate the impact load on the adjacent tower, and the safety of the collapsed tower is further influenced. The impact energy and the transfer coefficient are combined, the force transmission and the impact effect in the collapse process are analyzed, the stress conditions of the adjacent towers are calculated, whether the collapse risk exists or not is evaluated, and precautionary measures are taken in advance.

Description

Technical Field

[0001] This invention relates to the field of tower bearing capacity analysis technology, specifically to a method for identifying and evaluating the remaining bearing capacity of corroded tower materials in power transmission towers. Background Technology

[0002] Currently, the assessment of the remaining load-bearing capacity of transmission towers due to corrosion mainly relies on manual inspection or only a rough estimate of the corrosion depth. These methods are inefficient and limited by human factors, leading to errors or omissions.

[0003] Furthermore, existing technologies have failed to accurately model the impact of corrosion on the physical properties of tower materials (such as yield strength and elastic modulus), especially lacking in-depth analysis of the dynamic changes in residual bearing capacity caused by corrosion.

[0004] Existing technologies typically fail to analyze load-bearing capacity and then predict its impact on surrounding towers, including the propagation of the collapse load, the impact energy of projectiles, and the potential threats this process poses to the structural safety of surrounding towers. This makes it impossible to comprehensively and accurately predict the impact of tower collapse and its chain reactions on the overall safety of the power transmission system, especially in complex and variable environments.

[0005] Therefore, accurately analyzing the remaining bearing capacity of the towers, taking into account the impact of collapsed towers on surrounding towers, and assessing the risk status of transmission towers are all problems that need to be solved. Summary of the Invention

[0006] To address the aforementioned shortcomings of existing technologies, this invention provides a method for identifying and assessing the remaining load-bearing capacity of corroded tower materials in power transmission towers. This method effectively solves the problem in existing technologies where the load-bearing capacity under corrosion conditions is not accurately modeled and analyzed, making it difficult to assess the safety risks to other towers caused by tower collapse based on the load-bearing capacity risk status.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] This invention provides a method for identifying and evaluating the remaining load-bearing capacity of corroded tower materials in power transmission towers, comprising at least:

[0009] Identify tower image data, output corrosion areas, and analyze corrosion index parameters;

[0010] Establish a finite element model of the tower and update the finite element model based on corrosion index parameters;

[0011] A yield degradation model was constructed based on the corrosion state and service state to clarify the yield strength and elastic modulus under corrosion state.

[0012] Loads are applied to the finite element model, including wind loads, ice loads, self-weight loads, and seismic loads.

[0013] Analyze the stress and displacement of the tower components;

[0014] The load-bearing capacity of the tower is calculated based on the properties and conditions of the tower components, combined with corrosion index parameters and yield strength.

[0015] Input the bearing capacity to identify risky towers;

[0016] The collapse load of the risky tower is calculated based on the mass of the tower components, the drop height, and the influence of gravity.

[0017] The collapse load affects adjacent towers through the transfer coefficient;

[0018] The projectile motion state of components during the collapse of a high-risk tower is introduced, the impact energy of the projectiles is calculated, converted into an additional load, and the collapse of the high-risk tower is simulated.

[0019] In response to the input collapse load, transfer factor, and new load, calculate the total stress on adjacent towers and assess the state of adjacent towers.

[0020] This invention automatically identifies and extracts corroded areas from image data using a convolutional neural network. It then fits the plane equation of the uncorroded part of the tower using the least squares method, providing a precise benchmark for calculating the corrosion depth. Furthermore, it derives the average corrosion depth of the corroded area, which directly affects the calculation of the remaining wall thickness and strength. Based on this corrosion data, a three-dimensional finite element model is established, dynamically updating the geometry and material parameters of the corroded area to reflect the specific impact of corrosion on the structure, including the reduction in yield strength and elastic modulus.

[0021] For the analysis of collapsed towers, a propagation model of the collapse load was introduced, and the impact energy of projectiles and their impact on adjacent towers were calculated, simulating the force propagation and impact effects during the collapse process. These calculations not only predicted the potential threat of collapsed towers to other towers but also assessed the impact of projectile impact energy on the bearing capacity of surrounding towers using a transfer coefficient, providing a more comprehensive collapse risk assessment mechanism.

[0022] By conducting precise corrosion assessments, dynamic yield degradation models, and collapse impact analyses, the safety and reliability of transmission towers can be improved. This allows for early warning of potential structural instability risks and provides a scientific basis for subsequent reinforcement and maintenance.

[0023] Furthermore, the corrosion index parameters include corrosion depth, corrosion area, and remaining cross-sectional area, wherein:

[0024] Remaining cross-sectional area: determined based on the tower's width, maximum corrosion depth, and remaining wall thickness.

[0025] Furthermore, the corrosion state includes:

[0026] Corrosion area loss rate, corrosion depth;

[0027] Service status includes:

[0028] Actual service life versus design life.

[0029] Furthermore, the method for determining the load is as follows:

[0030] Wind load:

[0031] Calculations are based on wind condition parameters, the area affected by wind on the tower, and the tower diameter;

[0032] Ice load:

[0033] Calculated based on ice and snow quality, the area of ​​the tower exposed to ice, and the thickness of the accumulated ice on the tower;

[0034] Self-weight load:

[0035] Calculations are based on the density of the tower material, the projected area under gravity, and the acceleration due to gravity.

[0036] Furthermore, the stress is calculated based on the bending moment, the section modulus after corrosion, the axial stress generated by the axial force, and the remaining cross-sectional area.

[0037] Furthermore, the attribute states of the tower components include:

[0038] The standard deviation of component material strength, the mean of component design strength, the standard deviation of component construction error, the target value of component design parameters, the cumulative value of component fatigue damage, and the critical value of component fatigue failure.

[0039] Furthermore, the method for determining the additional load is as follows:

[0040] Obtain the mass, initial velocity, and impact angle of the projectile;

[0041] Calculate the impact energy of the projectile;

[0042] The impact energy multiplied by the influence coefficient yields the new load, where:

[0043] The impact coefficient is determined based on the stiffness of the tower being impacted or the impact angle.

[0044] Furthermore, the transmission coefficient is calculated based on the horizontal distance between the risk tower and adjacent towers, the cross-sectional area of ​​the adjacent towers, the elastic modulus of the adjacent towers, and the transmission efficiency.

[0045] The residual bearing capacity identification and assessment system, applied to the aforementioned method for identifying and assessing the residual bearing capacity of corroded tower materials in transmission towers, includes:

[0046] The image analysis and recognition module identifies tower image data, outputs corrosion areas, and analyzes corrosion index parameters.

[0047] The tower model simulation module establishes a finite element model of the tower and updates the finite element model based on corrosion index parameters.

[0048] A yield degradation model was constructed based on the corrosion state and service state to clarify the yield strength and elastic modulus under corrosion state.

[0049] Loads are applied to the finite element model, including wind loads, ice loads, self-weight loads, and seismic loads.

[0050] The tower risk analysis module analyzes the stress and displacement of tower components;

[0051] The load-bearing capacity of the tower is calculated based on the properties and conditions of the tower components, combined with corrosion index parameters and yield strength.

[0052] Input the bearing capacity to identify risky towers;

[0053] The tower collapse analysis module calculates the collapse load of risky towers based on the mass of tower components, the fall height, and the influence of gravity.

[0054] The collapse load affects adjacent towers through the transfer coefficient;

[0055] The projectile motion state of components during the collapse of a high-risk tower is introduced, the impact energy of the projectiles is calculated, converted into an additional load, and the collapse of the high-risk tower is simulated.

[0056] In response to the input collapse load, transfer factor, and new load, calculate the total stress on adjacent towers and assess the state of adjacent towers.

[0057] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0058] The technical solution provided by this invention has the following advantages compared with the known prior art:

[0059] By detecting the corrosion area of ​​the tower, calculating the corrosion depth, and establishing a three-dimensional finite element model, the geometry and material parameters of the corrosion area are dynamically updated, including the attenuation of yield strength and elastic modulus. The stress and deformation of the tower under different load conditions are simulated in order to determine the remaining bearing capacity.

[0060] By introducing a propagation model of collapse load and calculating the impact energy of projectiles, the impact of a collapsed tower on surrounding towers and the possible chain reaction can be predicted. During the fall of components from a collapsed tower, projectiles will be generated, which will generate impact loads on adjacent towers, further affecting their safety. By combining the impact energy with the transmission coefficient, the force propagation and impact effect during the collapse process can be analyzed, the stress status of adjacent towers can be calculated, the existence of collapse risk can be assessed, and preventive measures can be taken in advance.

[0061] By conducting corrosion assessments, dynamic yield degradation models, and collapse impact analyses, the safety and reliability of transmission towers can be improved, potential structural instability risks can be predicted in advance, and a basis and auxiliary decision-making can be provided for subsequent reinforcement and maintenance. Attached Figure Description

[0062] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0063] Figure 1 This is a schematic diagram of the overall method of the present invention. Detailed Implementation

[0064] 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, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0065] The present invention will be further described below with reference to embodiments.

[0066] Example 1 (see Figure 1 A method for identifying and assessing the remaining bearing capacity of corroded tower materials in power transmission towers, comprising at least the following:

[0067] The system collects image data of the tower, completely covering its surface. Based on a convolutional neural network model, it identifies the image data and outputs the corrosion area, i.e., a rectangular area containing image blocks of rust.

[0068] Select the point cloud of the complete undamaged area around the corrosion area, and obtain an ideal original surface of the tower by fitting the plane equation of the area according to the least squares method, so as to serve as the benchmark for corrosion depth calculation;

[0069] Calculate the distance from each corrosion point within the corrosion zone to the reference plane. (i.e., the first) The greater the corrosion depth of each corrosion point, the more severe the material loss.

[0070] ,

[0071] in, , , , These represent the coefficients of the reference plane equation, used to fit the plane of the uncorroded section of the tower.

[0072] Therefore, the average corrosion depth is calculated. (This reflects the degree of metal loss of the tower in the corrosion zone and is the input for calculating the remaining wall thickness and strength):

[0073]

[0074] in, This indicates the number of points within the corroded area;

[0075] Regarding the corrosion area, according to , This indicates the corrosion area of ​​the corroded region. Indicates pixel rate, This represents the area of ​​each pixel.

[0076] Furthermore, a three-dimensional finite element model is established based on the tower's geometry and the corrosion zone, specifically as follows:

[0077] Obtain the design drawings of the tower, including its dimensions, shape, connection points, and material information;

[0078] To create a 3D solid model of a tower, common model elements include:

[0079] Members: Columns, beams, and other components used in modeling towers;

[0080] Connectors: connecting bolts, welds, and other connecting components;

[0081] Based on the calculated corrosion depth and corrosion area, adjust the geometric and material parameters of the corrosion region in the model:

[0082] For the corroded area, determine the remaining wall thickness. (Original wall thickness minus maximum corrosion depth) Modify the remaining cross-sectional area of ​​the corroded area to match the actual geometry after corrosion (cross-sectional area, corrosion area, and corrosion depth are all corrosion parameters).

[0083] For cross-sectional area , The width of the tower is indicated by the corrosion depth. The actual load-bearing capacity of the tower depends on the remaining wall thickness and the remaining effective width, while the corrosion depth directly affects the remaining wall thickness and the remaining effective width. Therefore, subtracting twice the corrosion depth to account for corrosion in both the surface and inner surfaces of the tower leads to a reduction in the tower's lateral dimension (width).

[0084] For non-corrosion areas, the original wall thickness and original cross-sectional area of ​​the raw materials are maintained.

[0085] A yield degradation model that can be dynamically updated with the degree of corrosion is constructed for the corroded area to clarify the attenuation law of corrosion on yield strength and elastic modulus:

[0086]

[0087] in, Indicates the yield strength after corrosion. This represents the original yield strength, referring to the yield strength of the tower material in its uncorroded state. The corrosion area loss rate is the ratio of the corroded area to the original design cross-sectional area. This indicates the original wall thickness, the wall thickness of the tower under design conditions. This indicates the actual service life, the cumulative service time of the pole from when it was put into use to the present. Indicates the design life. , , These represent the influence coefficients;

[0088] Similarly, calculate the elastic modulus after corrosion (using the same yield degradation model as above, replacing the original yield strength with the original elastic modulus). (This can be done by setting the yield strength and elastic modulus of the material in the corroded area based on the yield degradation model. For the non-corroded area, keep the raw material parameters unchanged.) and .

[0089] Next, different load cases were applied to the finite element model, including:

[0090] Wind load Based on wind speed and the windward area of ​​the tower, the calculation is as follows:

[0091]

[0092] in, Represents a constant. Indicates the drag coefficient. This indicates the area affected by wind on a circular pole. Indicates wind speed. Indicates the diameter of the tower;

[0093] Ice load Consider the impact of snow and ice accumulation on the tower:

[0094]

[0095] in, Indicates the unit mass of ice and snow. Indicates the ice-affected area of ​​the tower ( , Indicates the diameter of the tower. (This refers to the length of the tower) and the external surface area of ​​the tower when ice and snow accumulate. Indicates the thickness of ice accumulation on the tower;

[0096] Self-weight load : , Indicates the density of the tower material. This represents the projected area of ​​the tower under gravity (depending on the shape of the tower, its projected area in the vertical direction). Represents gravitational acceleration;

[0097] Seismic load: calculated using the tower's mass and seismic acceleration;

[0098] Therefore, each load is assigned a corresponding load factor, and the total load is obtained by adding the multiple loads together.

[0099] Furthermore, after applying different loads as described above, the stress and deformation states of the tower components (columns, beams, bases, etc.) under different load conditions can be calculated using the finite element model, including:

[0100] Regarding stress:

[0101]

[0102] in, Indicates the maximum stress. Indicates bending moment, Indicates the section modulus after corrosion. This represents the axial stress generated by the axial force. This represents the remaining cross-sectional area after corrosion. Corrosion reduces the effective load-bearing area of ​​the material, resulting in increased stress per unit area under the same axial force.

[0103] Regarding displacement:

[0104] Assuming the tower is a three-dimensional structure, in finite element analysis, the displacement of each node (i.e., a point in the discretized mesh) can be represented as a displacement vector, which can be expressed by the following matrix equation:

[0105]

[0106] in, Represents the stiffness matrix. Represents the displacement vector. Indicates the total load;

[0107] For the node in , , The displacement in the direction is ;

[0108] The maximum displacement is the maximum value of the displacements of all nodes, then the maximum displacement... ;

[0109] Based on the maximum stress and maximum displacement, if the area of ​​maximum stress is higher than the yield strength after corrosion, these areas may yield, deform or even fracture.

[0110] If the maximum displacement is higher than the displacement threshold, it indicates that the tower structure has undergone excessive deformation, which may lead to instability or failure.

[0111] High-stress areas are typically the most vulnerable parts of a material or structure. By combining the results of maximum stress and maximum displacement, the areas most severely affected by corrosion or fatigue damage can be identified, and these areas can be further evaluated to determine whether special reinforcement design or replacement is required.

[0112] Therefore, if the maximum stress of a tower component within the corrosion zone exceeds its yield strength, or the maximum displacement exceeds its displacement threshold, the remaining load-bearing capacity of the tower should be assessed, including:

[0113] Single component bearing capacity Determination:

[0114]

[0115] in, The standard deviation of the strength (or stiffness) of a component material. This represents the mean of the design strength (or stiffness) of a component. The standard deviation represents the construction error (the absolute value of the actual measured value (dimension) of the component minus the design value is the error; the average value of all errors is determined, and then the variance and standard deviation can be calculated). This represents the target value of design parameters (such as concrete strength). This represents the cumulative value of fatigue damage. The critical value representing fatigue failure;

[0116] A tower consists of components such as columns, beams, and base. The bearing capacity of each individual component must be determined. The sum of these values ​​gives the remaining load-bearing capacity of the entire tower.

[0117] Furthermore, after determining the remaining bearing capacity of the tower, it is compared with the bearing capacity threshold. If it is less than the bearing capacity threshold, i.e., the bearing capacity is too small, the tower is determined to be at risk of collapse. Therefore, the following steps are also included:

[0118] If a tower has a remaining bearing capacity less than the bearing capacity threshold, it is designated as a high-risk tower. To clarify the impact of this high-risk tower's subsequent collapse on surrounding towers, the following applies:

[0119] When a high-risk tower collapses, its components will fall from a certain height, generating a collapse load. To accurately assess the impact of the collapse on other towers, the collapse load generated by the high-risk tower is calculated:

[0120]

[0121] in, Indicating risk towers The collapse load, Indicates tower components quality Indicates tower components The vertical drop height, Indicates the total number of components;

[0122] Furthermore, a causal chain propagation model is introduced to describe how the collapse load propagates to adjacent towers through a transfer coefficient, where the transfer coefficient of the collapse load is assumed to be... (Dimensionless), forming a dynamic load propagation process, which reflects the physical interaction of forces and the coupling of the system;

[0123] When a high-risk tower collapses, components may be ejected and impact other towers. The velocity and mass of the ejected components determine the impact energy on surrounding towers. Therefore, the following steps are involved:

[0124] Calculate the impact energy of the projectile:

[0125]

[0126] in, The impact energy of a projectile (a component of a tower at risk of collapse) determines the degree of its impact on the tower. Indicates the mass of the projectile. Indicates the initial velocity of the projectile. Indicates the angle of impact;

[0127] In the above, regarding the initial velocity:

[0128] , This indicates the horizontal distance between the point of impact of the projectile and its starting point.

[0129] By calculating the impact energy, the impact of projectiles on other towers can be quantified.

[0130] Using the aforementioned collapse and projectile loads, a dynamic simulation model can be used to simulate the collapse of a high-risk tower (based on the three-dimensional finite element model established above) and capture the dynamic behavior of projectiles. During the simulation, the material of the component may exhibit nonlinear behavior (such as yielding and fracture). A suitable nonlinear material model should be selected to reflect the yielding and failure process of the material. For example, an elastoplastic model or a fracture model can be used to describe the deformation behavior of the tower component. It should be noted that the dynamic simulation model process is common and will not be elaborated upon in this embodiment.

[0131] The impact of projectiles not only generates localized loads but also affects adjacent towers through load transfer between towers. Therefore, it is necessary to convert the impact energy of the projectiles into loads and calculate their impact on adjacent towers:

[0132] Multiply the impact energy by an influence coefficient (ranging from 0 to 1, which can be adjusted according to different actual conditions; for example, a smaller value is used if the stiffness of the impacted tower is high, and vice versa; or a larger value is used if the impact angle is large, and vice versa), to obtain the impact of the projectile on adjacent towers. The resulting new load ;

[0133] Calculate the total stress on adjacent towers based on the collapse load and projectile load:

[0134]

[0135] in, Indicates adjacent towers Stress under multiple loads (collapse load and projectile load).

[0136] Furthermore, the total stress is compared with the bearing capacity threshold. If it is less than the threshold, it is determined that an overload has occurred. That is, if the risky tower collapses, the adjacent tower will also be affected. The presence of a risk of collapse facilitates enhanced management and control of towers with potential risks, thereby reducing the occurrence of construction safety accidents.

[0137] In this embodiment, the transfer coefficient Determined based on the following relationship:

[0138]

[0139] in, Indicating risk towers With adjacent towers The horizontal distance between them Indicates adjacent towers The larger the cross-sectional area, the greater the load the tower can withstand, and the smaller the impact of the transmitted load. Indicates adjacent towers The elastic modulus reflects the tower's ability to deform under load. A larger value indicates that the tower is more rigid and has a stronger ability to withstand collapse loads; conversely, a smaller value indicates that the tower is more prone to deformation and more susceptible to collapse loads. This indicates the transmission efficiency. If two towers are connected by a rigid structure (such as steel cables, steel beams, or bridging structures), the load transmission efficiency is high. Conversely, if the connection is loose or there is no direct connection (such as mutual influence only through the ground), the transmission efficiency is low.

[0140] The residual bearing capacity identification and assessment system, applied to the aforementioned method for identifying and assessing the residual bearing capacity of corroded tower materials in transmission towers, includes:

[0141] The image analysis and recognition module identifies tower image data, outputs corrosion areas, and analyzes corrosion index parameters.

[0142] The tower model simulation module establishes a finite element model of the tower and updates the finite element model based on corrosion index parameters.

[0143] A yield degradation model was constructed based on the corrosion state and service state to clarify the yield strength and elastic modulus under corrosion state.

[0144] Loads are applied to the finite element model, including wind loads, ice loads, self-weight loads, and seismic loads.

[0145] The tower risk analysis module analyzes the stress and displacement of tower components;

[0146] The load-bearing capacity of the tower is calculated based on the properties and conditions of the tower components, combined with corrosion index parameters and yield strength.

[0147] Input the bearing capacity to identify risky towers;

[0148] The tower collapse analysis module calculates the collapse load of risky towers based on the mass of tower components, the fall height, and the influence of gravity.

[0149] The collapse load affects adjacent towers through the transfer coefficient;

[0150] The projectile motion state of components during the collapse of a high-risk tower is introduced, the impact energy of the projectiles is calculated, converted into an additional load, and the collapse of the high-risk tower is simulated.

[0151] In response to the input collapse load, transfer factor, and new load, calculate the total stress on adjacent towers and assess the state of adjacent towers.

[0152] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the method.

[0153] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method.

[0154] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying and evaluating the remaining bearing capacity of corroded tower materials in power transmission towers, characterized in that, Includes the following steps: Identify tower image data, output corrosion areas, and analyze corrosion index parameters; Establish a finite element model of the tower and update the finite element model based on corrosion index parameters; A yield degradation model was constructed based on the corrosion state and service state to clarify the yield strength and elastic modulus under corrosion state. Loads are applied to the finite element model, including wind loads, ice loads, self-weight loads, and seismic loads. Analyze the stress and displacement of the tower components; The load-bearing capacity of the tower is calculated based on the properties and conditions of the tower components, combined with corrosion index parameters and yield strength. Input the bearing capacity to identify risky towers; The collapse load of the risky tower is calculated based on the mass of the tower components, the drop height, and the influence of gravity. The collapse load affects adjacent towers through the transfer coefficient; The projectile motion state of components during the collapse of a high-risk tower is introduced, the impact energy of the projectiles is calculated, converted into an additional load, and the collapse of the high-risk tower is simulated. In response to the input collapse load, transfer factor, and new load, calculate the total stress on adjacent towers and assess the state of adjacent towers.

2. The method for identifying and evaluating the remaining bearing capacity of corroded tower materials of transmission towers according to claim 1, characterized in that, The corrosion index parameters include corrosion depth, corrosion area, and remaining cross-sectional area, wherein: Remaining cross-sectional area: determined based on the tower's width, maximum corrosion depth, and remaining wall thickness.

3. The method for identifying and evaluating the remaining bearing capacity of corroded tower materials of transmission towers according to claim 1, characterized in that, The corrosion state includes: Corrosion area loss rate, corrosion depth; Service status includes: Actual service life versus design life.

4. The method for identifying and evaluating the remaining bearing capacity of corroded tower materials of transmission towers according to claim 1, characterized in that, The method for determining the load is as follows: Wind load: Calculations are based on wind condition parameters, the area affected by wind on the tower, and the tower diameter; Ice load: Calculated based on ice and snow quality, the area of ​​the tower exposed to ice, and the thickness of the accumulated ice on the tower; Self-weight load: Calculations are based on the density of the tower material, the projected area under gravity, and the acceleration due to gravity.

5. The method for identifying and evaluating the remaining bearing capacity of corroded tower materials of transmission towers according to claim 1, characterized in that, The stress is calculated based on the bending moment, the section modulus after corrosion, the axial stress generated by the axial force, and the remaining cross-sectional area.

6. The method for identifying and evaluating the remaining bearing capacity of corroded tower materials of transmission towers according to claim 1, characterized in that, The attribute status of the tower components includes: The standard deviation of component material strength, the mean of component design strength, the standard deviation of component construction error, the target value of component design parameters, the cumulative value of component fatigue damage, and the critical value of component fatigue failure.

7. The method for identifying and evaluating the remaining bearing capacity of corroded tower materials of transmission towers according to claim 1, characterized in that, The method for determining the additional load is as follows: Obtain the mass, initial velocity, and impact angle of the projectile; Calculate the impact energy of the projectile; The impact energy multiplied by the influence coefficient yields the new load, where: The impact coefficient is determined based on the stiffness of the tower being impacted or the impact angle.

8. The method for identifying and evaluating the remaining bearing capacity of corroded tower materials of transmission towers according to claim 1, characterized in that, The transmission coefficient is calculated based on the horizontal distance between the risk tower and its adjacent towers, the cross-sectional area of ​​the adjacent towers, the elastic modulus of the adjacent towers, and the transmission efficiency.

9. A residual bearing capacity identification and evaluation system, applied to the method for identifying and evaluating the residual bearing capacity of corroded tower materials of transmission towers as described in any one of claims 1-7, characterized in that, include: The image analysis and recognition module identifies tower image data, outputs corrosion areas, and analyzes corrosion index parameters. The tower model simulation module establishes a finite element model of the tower and updates the finite element model based on corrosion index parameters. A yield degradation model was constructed based on the corrosion state and service state to clarify the yield strength and elastic modulus under corrosion state. Loads are applied to the finite element model, including wind loads, ice loads, self-weight loads, and seismic loads. The tower risk analysis module analyzes the stress and displacement of tower components; The load-bearing capacity of the tower is calculated based on the properties and conditions of the tower components, combined with corrosion index parameters and yield strength. Input the bearing capacity to identify risky towers; The tower collapse analysis module calculates the collapse load of risky towers based on the mass of tower components, the fall height, and the influence of gravity. The collapse load affects adjacent towers through the transfer coefficient; The projectile motion state of components during the collapse of a high-risk tower is introduced, the impact energy of the projectiles is calculated, converted into an additional load, and the collapse of the high-risk tower is simulated. In response to the input collapse load, transfer factor, and new load, calculate the total stress on adjacent towers and assess the state of adjacent towers.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

Images