A tower foundation reinforcement arrangement method and system

Abstract

The present invention discloses a tower base reinforcement layout method and system, which relates to the technical field of transmission line tower base design. By obtaining the basic parameters of the tower base and the positions of each tower foot, dynamic reinforcement planning is performed on each tower foot position to obtain multiple tower foot areas and reinforcement quantities. The basic parameters and each tower foot position are used to construct a tower base finite element analysis model. Based on the reinforcement quantity, the tower base finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area, and each target reinforcement distribution is used as the tower base reinforcement layout scheme. This solves the technical problem that traditional tower base reinforcement layout mainly adopts a vertical parallel layout method, which easily causes the reinforcement to be subjected to bending moments exceeding the design value under extreme working conditions, causing cracks in the tower base and reducing the reliability of transmission line operation.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission line tower base design, and in particular to a tower base reinforcement arrangement method and system. Background Art

[0002] As a key component supporting high-voltage transmission lines, the reinforcement layout of the transmission line tower base directly affects the tower base's load-bearing capacity and long-term stability. Therefore, how to properly arrange the reinforcement of the tower base is crucial.

[0003] At present, the traditional tower base reinforcement layout mainly adopts a vertical parallel arrangement. Although the construction is simple, in actual operation, due to the concentrated force in the tower foot area of ​​the tower base, the vertical parallel arrangement causes some reinforcements to bear excessive loads, while other reinforcements fail to play their full role. Under extreme working conditions, it is easy for the reinforcement to bear bending moments exceeding the design value, causing the tower base to crack, thereby reducing the reliability of the transmission line operation. Summary of the Invention

[0004] The present invention provides a tower base reinforcement arrangement method and system, which solves the technical problem that traditional tower base reinforcement arrangement mainly adopts a vertical parallel arrangement method. Although the construction is simple, in actual operation, due to the concentrated force in the tower foot area of ​​the tower base, the vertical parallel arrangement method causes some reinforcement to bear excessive loads while other reinforcements fail to fully play their role. Under extreme working conditions, it is easy to cause the reinforcement to bear bending moments exceeding the design value, causing the tower base to crack, and reducing the reliability of transmission line operation.

[0005] A first aspect of the present invention provides a method for arranging reinforcement for a tower foundation, comprising:

[0006] Obtaining basic parameters of the tower foundation and positions of each tower foot, performing dynamic reinforcement planning processing on each tower foot position, and obtaining multiple tower foot areas and reinforcement quantities;

[0007] Constructing a tower foundation finite element analysis model using the foundation parameters and the positions of each tower foot;

[0008] Based on the reinforcement quantity, the tower foundation finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area;

[0009] Each target reinforcement distribution is used as the reinforcement arrangement scheme of the tower foundation.

[0010] Optionally, the step of performing dynamic reinforcement planning processing on each tower foot position to obtain multiple tower foot areas and reinforcement quantities includes:

[0011] The shortest distance from each of the tower foot positions to the tower base edge is used as the first distance value;

[0012] Taking the distance between any two of the tower foot positions as the second distance value;

[0013] Selecting the minimum value of each of the first distance values ​​and each of the second distance values ​​as a third distance value, and multiplying the third distance value by a preset area coefficient to obtain a tower foot radius;

[0014] Constructing tower foot areas at each tower foot position based on the tower foot radius respectively;

[0015] The tower foot radius is input into a preset reinforcement quantity function to obtain the corresponding reinforcement quantity.

[0016] Optionally, the step of determining target reinforcement distribution corresponding to each tower foot area using the tower foundation finite element analysis model based on the reinforcement quantity includes:

[0017] Constructing an initial reinforcement distribution population for each tower foot region according to the number of reinforcements, wherein each individual of the initial reinforcement distribution population corresponds to a tower foot region reinforcement distribution, and the tower foot region reinforcement distribution includes multiple reinforcement positions and multiple center deflection angles;

[0018] Inputting the reinforcement distribution of each tower foot region into the tower foundation finite element analysis model respectively to obtain multiple gravity load bending moments and multiple uplift bending moments;

[0019] Performing eddy current thermal field analysis on the central deflection angle associated with the reinforcement distribution of each tower foot area to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area;

[0020] Performing mechanical analysis on the gravity load bending moment and uplift bending moment associated with the reinforcement distribution of each tower foot area, respectively, to obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area;

[0021] Based on a multi-objective genetic algorithm, each initial reinforcement distribution population is optimized according to each eddy current optimization index value, each reinforcement load uniformity value and each sinking and drawing damage value to obtain a target reinforcement distribution corresponding to each tower foot area.

[0022] Optionally, the step of performing eddy current thermal field analysis on the central deflection angle associated with the reinforcement distribution of each tower foot region to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot region includes:

[0023] Based on the Kriging interpolation method, eddy current heat calculation is performed for each center deflection angle according to the preset reinforcement experimental data to obtain multiple eddy current heat values;

[0024] The eddy current heat associated with the reinforcement distribution of each tower foot area is averaged to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area.

[0025] Optionally, the step of performing mechanical analysis on the gravity load bending moment and uplift bending moment associated with the reinforcement distribution of each tower foot area to obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area includes:

[0026] performing variance processing on the gravity load bending moment associated with the reinforcement distribution of each tower foot region to obtain a plurality of first variances;

[0027] Performing variance processing on the upward force and bending moment associated with the reinforcement distribution of each tower foot area to obtain multiple second variances;

[0028] Based on the preset reinforcement load weight, weighted operations are performed on the first variance and the second variance associated with the reinforcement distribution of each tower foot area to obtain the uniform reinforcement load value corresponding to the reinforcement distribution of each tower foot area;

[0029] Each of the gravity load bending moments is summed with the associated upward pulling bending moment to obtain a plurality of sinking and pulling bending moments;

[0030] performing mean processing on the sinking and pulling moments associated with the reinforcement distribution of each tower foot region to obtain a plurality of first means;

[0031] Performing variance processing on the sinking and pulling moments associated with the reinforcement distribution of each tower foot area to obtain multiple third-party variances;

[0032] The first mean and the third difference associated with the reinforcement distribution of each tower foot area are multiplied respectively to obtain the sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area.

[0033] Optionally, the step of optimizing each of the initial reinforcement distribution populations based on the multi-objective genetic algorithm according to each of the eddy current optimization index values, each of the reinforcement load uniformity values, and each of the sinking and drawing damage values ​​to obtain a target reinforcement distribution corresponding to each of the tower foot regions includes:

[0034] performing non-dominated sorting on each of the initial reinforcement distribution populations according to the eddy current optimization index value, reinforcement load uniformity value, and sinking and drawing damage value associated with each of the initial reinforcement distribution populations to obtain a plurality of non-dominated sequences;

[0035] Inputting each of the eddy current optimization index values, each of the reinforcement load uniformity values, and each of the sinking and drawing damage values ​​into a preset crowding function to obtain a plurality of crowding degrees;

[0036] updating each of the initial reinforcement distribution populations according to the non-dominated sequence associated with each of the initial reinforcement distribution populations and the congestion degree to obtain a plurality of updated populations;

[0037] Determining whether the update times of each of the initial reinforcement distribution populations is greater than or equal to a preset iteration threshold;

[0038] If the number of updates is less than the iteration threshold, the updated population is used as a new initial reinforcement distribution population, and the step of inputting the reinforcement distribution of each tower foot region into the tower foundation finite element analysis model to obtain multiple gravity load bending moments and multiple uplift bending moments is skipped and executed;

[0039] If the number of updates is greater than or equal to the iteration threshold, the tower foot area reinforcement distribution corresponding to the maximum congestion value in the updated population is selected as the target reinforcement distribution.

[0040] A second aspect of the present invention provides a tower foundation reinforcement arrangement system, comprising:

[0041] An acquisition module is used to obtain basic parameters of the tower foundation and the positions of each tower foot, and perform dynamic reinforcement planning processing on each of the tower foot positions to obtain multiple tower foot areas and reinforcement quantities;

[0042] A construction module, configured to construct a tower foundation finite element analysis model using the basic parameters and the positions of the tower feet;

[0043] an optimization module, configured to determine, based on the reinforcement quantity, a target reinforcement distribution corresponding to each tower foot region using the tower foundation finite element analysis model;

[0044] A layout module is used to use each of the target reinforcement distributions as a reinforcement layout scheme for the tower base.

[0045] A third aspect of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the tower base reinforcement arrangement method as described in any one of the above items.

[0046] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the reinforcement arrangement method for a tower foundation as described in any one of the above items.

[0047] A fifth aspect of the present invention provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes the reinforcement arrangement method for the tower base as described in any one of the above items.

[0048] It can be seen from the above technical solutions that the present invention has the following advantages:

[0049] The present invention obtains the basic parameters of the tower foundation and the positions of each tower foot, dynamically plans the reinforcement for each tower foot position, and obtains multiple tower foot areas and reinforcement quantities. The basic parameters and the positions of each tower foot are used to construct a tower foundation finite element analysis model. Based on the reinforcement quantity, the tower foundation finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area. Each target reinforcement distribution is used as the reinforcement layout scheme for the tower foundation. This overcomes the technical problem that traditional tower foundation reinforcement layout mainly adopts a vertical parallel arrangement method, which easily causes the reinforcement to be subjected to bending moments exceeding the design value under extreme working conditions, causing the tower foundation to crack, and reducing the reliability of transmission line operation. Compared with traditional tower foundation reinforcement layout methods, the present invention constructs a tower foundation finite element analysis model using the basic parameters and the positions of each tower foot, and based on the reinforcement quantity, the tower foundation finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area. This ensures that the reinforcement within the tower foot area is subjected to coordinated force, avoids tower foundation cracking due to overload of a few reinforcement bars, and improves the reliability of transmission line operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0051] Figure 1 A flowchart of the steps of a tower foundation reinforcement arrangement method provided in the first embodiment of the present invention;

[0052] Figure 2 A flowchart of a method for arranging reinforcement for a tower foundation provided in the second embodiment of the present invention;

[0053] Figure 3 A graph showing the relationship between the uniform value of the reinforcement load and the bending moment of the gravity load provided in the second embodiment of the present invention;

[0054] Figure 4 A graph showing the relationship between the uniform value of the reinforcement load and the upward pulling force and bending moment provided in the second embodiment of the present invention;

[0055] Figure 5 A graph showing the relationship between the sinking damage value and the mean value of the sinking bending moment provided in the second embodiment of the present invention;

[0056] Figure 6 A graph showing the relationship between the sinking damage value and the variance of the sinking bending moment provided in the second embodiment of the present invention;

[0057] Figure 7 This is a structural block diagram of a reinforcement arrangement system for a tower foundation provided in the third embodiment of the present invention;

[0058] Figure 8 This is a structural block diagram of a computer device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0059] The embodiments of the present invention provide a tower base reinforcement arrangement method and system for solving the technical problem that the traditional tower base reinforcement arrangement mainly adopts a vertical parallel arrangement method. Although the construction is simple, in actual operation, due to the concentrated force in the tower foot area of ​​the tower base, the vertical parallel arrangement method causes some reinforcement to bear excessive loads while other reinforcements fail to play their full role. Under extreme working conditions, it is easy to cause the reinforcement to bear bending moments exceeding the design value, causing cracks in the tower base and reducing the reliability of the transmission line operation.

[0060] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0061] See also Figure 1 , Figure 1 This is a flowchart of the steps of a tower foundation reinforcement arrangement method provided in Example 1 of the present invention.

[0062] The present invention provides a tower foundation reinforcement arrangement method, comprising:

[0063] Step 101: Obtain the basic parameters of the tower foundation and the positions of each tower foot, perform dynamic reinforcement planning on each tower foot position, and obtain multiple tower foot areas and reinforcement quantities.

[0064] Foundation parameters refer to the core data set used to describe the tower foundation's structural characteristics, material properties, and external loading conditions. These include, but are not limited to, the elastic modulus, density, and Poisson's ratio of concrete, and the elastic modulus and yield strength of reinforcement.

[0065] The tower foot area refers to the key stress-bearing area around the center of the tower foot in the tower foundation of a transmission line.

[0066] The number of reinforcements refers to the total number of reinforcements in a tower foot area.

[0067] In an embodiment of the present invention, basic parameters of the tower foundation and pre-planned tower foot positions are obtained. The shortest distance from each tower foot position to the tower foundation edge is used as a first distance value. The distance between any two tower foot positions is used as a second distance value. The minimum value between each first distance value and each second distance value is selected as a third distance value, and one-quarter of the third distance value is taken as the tower foot radius. The tower foot area of ​​each tower foot position is constructed based on the tower foot radius. The tower foot radius is input into a preset reinforcement quantity function to obtain the corresponding reinforcement quantity.

[0068] Step 102: construct a tower foundation finite element analysis model using foundation parameters and positions of each tower foot.

[0069] The tower base finite element analysis model refers to the finite element model of the tower base.

[0070] In an embodiment of the present invention, a finite element analysis model of a tower base is constructed based on ANSYS software (i.e., Ansys software) or ABAQUS software (i.e., ABAQUS software) using basic parameters and positions of each tower foot.

[0071] Step 103: Based on the reinforcement quantity, a tower base finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area.

[0072] The target reinforcement distribution refers to the optimal combination of the position and center deviation angle of each reinforcement in the tower foot area.

[0073] In an embodiment of the present invention, an initial reinforcement distribution population for each tower foot region is constructed based on the number of reinforcements, wherein each individual in the initial reinforcement distribution population corresponds to a tower foot region reinforcement distribution, and the tower foot region reinforcement distribution includes multiple reinforcement positions and multiple center deflection angles. The reinforcement distributions of each tower foot region are respectively input into the tower base finite element analysis model to obtain multiple gravity load bending moments and multiple uplift bending moments. Eddy current thermal field analysis is performed on the center deflection angles associated with each tower foot region reinforcement distribution to obtain the eddy current optimization index value corresponding to each tower foot region reinforcement distribution. Mechanical analysis is performed on the gravity load bending moment and uplift bending moment associated with each tower foot region reinforcement distribution to obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to each tower foot region reinforcement distribution. Based on a multi-objective genetic algorithm, each initial reinforcement distribution population is optimized according to each eddy current optimization index value, each reinforcement load uniformity value, and each sinking and pulling damage value to obtain the target reinforcement distribution corresponding to each tower foot region.

[0074] It should be noted that the expression for the uniform value of reinforcement load is:

[0075]

[0076] in, is the uniform value of reinforcement load, is the variance of the gravity load bending moment in the tower foot area, is the variance of the upward bending moment in the tower foot area, is the first reinforcement load weight, is the secondary reinforcement load weight.

[0077] It should be noted that the expression of the sinking and pulling damage value is:

[0078]

[0079] in, is the sinking damage value, is the variance of the sinking and pulling moment in the tower foot area, is the first mean, is the sinking and pulling moment of the kth reinforcement, is the gravity load bending moment of the kth reinforcement, is the upward bending moment of the kth reinforcement, K is the total number of reinforcements, and k is the index of the reinforcement.

[0080] Step 104: Using each target reinforcement distribution as the reinforcement arrangement plan for the tower base.

[0081] In the embodiment of the present invention, the optimal combination of the position and center deviation angle of each reinforcement in each tower foot area is used as the reinforcement arrangement scheme of the tower foundation.

[0082] In an embodiment of the present invention, by obtaining the basic parameters of the tower foundation and the locations of each tower foot, dynamic reinforcement planning is performed on each tower foot location to obtain multiple tower foot areas and reinforcement quantities. A tower foundation finite element analysis model is constructed using the basic parameters and the locations of each tower foot. Based on the reinforcement quantity, the tower foundation finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area. Each target reinforcement distribution is used as the reinforcement layout scheme for the tower foundation. This overcomes the technical problem that traditional tower foundation reinforcement layout mainly adopts a vertical parallel arrangement method, which easily causes the reinforcement to be subjected to bending moments exceeding the design value under extreme working conditions, causing the tower foundation to crack, thereby reducing the reliability of transmission line operation. Compared with traditional tower foundation reinforcement layout methods, the present invention constructs a tower foundation finite element analysis model using the basic parameters and the locations of each tower foot, and uses the tower foundation finite element analysis model to determine the target reinforcement distribution corresponding to each tower foot area based on the reinforcement quantity. This ensures the coordinated implementation of each reinforcement within the tower foot area, avoids tower foundation cracking due to overload of a few reinforcement bars, and improves the reliability of transmission line operation.

[0083] See also Figure 2 , Figure 2 This is a flowchart of the steps of a tower foundation reinforcement arrangement method provided in Example 2 of the present invention.

[0084] The present invention provides a tower foundation reinforcement arrangement method, comprising:

[0085] Step 201: Obtain the basic parameters of the tower foundation and the positions of each tower foot, perform dynamic reinforcement planning on each tower foot position, and obtain multiple tower foot areas and reinforcement quantities.

[0086] Furthermore, step 201 includes the following sub-steps:

[0087] S11. The shortest distance from each tower foot position to the tower base edge is used as a first distance value.

[0088] The tower base edge refers to the outermost boundary area of ​​the tower base structure.

[0089] In the embodiment of the present invention, the shortest distance from each tower foot position to the outermost boundary of the tower base is used as the first distance value.

[0090] S12. Taking the distance between any two tower foot positions as the second distance value.

[0091] In the embodiment of the present invention, the distance between any two tower foot positions is calculated and used as the second distance value.

[0092] S13. Select the minimum value among each first distance value and each second distance value as the third distance value, and multiply the third distance value by a preset area coefficient to obtain the tower foot radius.

[0093] The area coefficient refers to the linear relationship between the tower foot radius and the third distance value, and its value is 0.25.

[0094] In the embodiment of the present invention, the minimum value among each first distance value and each second distance value is selected as the third distance value, and the product of the third distance value and the preset area coefficient is calculated to obtain the tower foot radius.

[0095] S14. Constructing tower foot areas at respective tower foot positions based on the tower foot radius.

[0096] In the embodiment of the present invention, each tower foot position is used as the center of the circle, the tower foot radius is used as the circle, and the area where the circle is located is used as the tower foot area.

[0097] S15. Input the tower foot radius into a preset reinforcement quantity function to obtain a corresponding reinforcement quantity.

[0098] In an embodiment of the present invention, the tower foot radius is used as an input of a preset reinforcement quantity function to obtain a corresponding reinforcement quantity.

[0099] It should be noted that the reinforcement quantity function is specifically:

[0100] ;

[0101] in, is the number of reinforcements, is the tower foot radius, is the reinforcement ratio of the tower foot area, is the cross-sectional area of ​​the reinforcement.

[0102] Step 202: construct a tower foundation finite element analysis model using the basic parameters and the positions of each tower foot.

[0103] In an embodiment of the present invention, an initial tower foundation finite element analysis model is constructed using ANSYS or ABAQUS software based on preset boundary conditions, foundation parameters, and the positions of each tower foot. The initial tower foundation finite element analysis model is meshed, the reinforcement within the initial tower foundation finite element analysis model is divided into truss elements, and the concrete within the initial tower foundation finite element analysis model is divided into hexahedrons to obtain the tower foundation finite element analysis model.

[0104] It should be noted that the boundary conditions include rigid constraints on concrete, elastic constraints on reinforcement, and elastic fixation of the contact surface between concrete and soil (for specific values, please refer to the concrete structure design code).

[0105] Step 203: construct an initial reinforcement distribution population for each tower foot region based on the number of reinforcements, wherein each individual in the initial reinforcement distribution population corresponds to a tower foot region reinforcement distribution, and the tower foot region reinforcement distribution includes multiple reinforcement positions and multiple center deflection angles.

[0106] The reinforcement distribution in the tower foot area refers to the reinforcement position and center deviation angle of each reinforcement in the tower foot area.

[0107] In the embodiment of the present invention, an initial reinforcement distribution population is constructed for each tower foot region based on the number of reinforcements, wherein each individual in the initial reinforcement distribution population corresponds to a tower foot region reinforcement distribution, and the tower foot region reinforcement distribution includes multiple reinforcement positions and multiple center deflection angles. For example, the initial reinforcement distribution population is expressed as: P = {P1, P2, ..., P j ,…,P J}, where P is the initial reinforcement distribution population, P1 is the first individual, P is the second individual, and P j is the jth individual, P J is the Jth individual, j is the index of the individual, J is the total number of individuals, P j ={p1 j ,…,pk j ,…,pK j} is, p1 j is the position and center deflection angle of the first reinforcement in the jth individual, pk j is the position and center deflection angle of the kth reinforcement in the jth individual, pK jis the position and center deflection angle of the Kth reinforcement in the jth individual, k is the index of the reinforcement, K is the total number of reinforcements, pk j ={(x1 k , y1 k ), (x2 k , y2 k ), θ k}, x1 k is the horizontal coordinate of the bottom of the kth reinforcement, y1 k is the vertical coordinate of the bottom of the kth reinforcement, x2 k is the horizontal coordinate of the top of the kth reinforcement, y2 k is the vertical coordinate of the top of the kth reinforcement, θ k is the center deflection angle of the kth reinforcement.

[0108] Step 204: Input the reinforcement distribution of each tower foot area into the tower foundation finite element analysis model to obtain multiple gravity load bending moments and multiple uplift bending moments.

[0109] In an embodiment of the present invention, the reinforcement distribution of each tower foot area is input into the tower foundation finite element analysis model respectively to obtain a plurality of target tower foundation finite element analysis models, and the transmission line tower gravity load is applied to the tower foot area of ​​each target tower foundation finite element analysis model respectively to obtain the gravity load bending moment and a plurality of pull-out bending moments of each reinforcement in each target tower foundation finite element analysis model.

[0110] It should be noted that the gravity load of the transmission line tower is 1 / T of the gravity of the transmission line tower, where T is the number of tower feet.

[0111] Step 205 : Perform eddy current thermal field analysis on the central deflection angle associated with the reinforcement distribution of each tower foot area to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area.

[0112] Furthermore, step 205 includes the following sub-steps:

[0113] S21. Based on the Kriging interpolation method, eddy current heat calculation is performed on each center deflection angle according to the preset reinforcement experimental data to obtain multiple eddy current heat values.

[0114] In an embodiment of the present invention, the Kriging interpolation method (i.e., Kriging interpolation) is used to perform eddy current heat calculations for each center deflection angle based on preset reinforcement test data to obtain multiple eddy current heat values. For example, the eddy current heat calculation process for a specific center deflection angle is specifically as follows: A1: Based on the Kriging interpolation method and reinforcement test data, a relationship between the center deflection angle and the eddy current heat value is constructed. The relationship between the center deflection angle and the eddy current heat value is specifically:

[0115]

[0116] in, is the eddy current heat corresponding to the central deflection angle, is the center deflection angle, is the nth eddy current weight, is the experimental eddy current heat corresponding to the nth experimental center deflection angle, is the deflection angle of the nth experimental center, is the first index of the experimental center deflection angle, is the reinforcement experimental data, and =1. A2. Construct a covariance function and calculate the prediction variance using the covariance function. The covariance function is specifically:

[0117]

[0118] in, for and The covariance value of is the deflection angle of the center of the ith experiment, is the deflection angle of the jth experimental center, is the first model parameter, is the second model parameter, a is the third model parameter, i is the second index of the experimental center deflection angle, and j is the third index of the experimental center deflection angle.

[0119] The specific process for constructing the first, second, and third model parameters is as follows: Reinforcement test data is input into a preset variation test function to obtain multiple variation test function values. Each variation test function value is then fitted using a preset exponential covariance function to obtain the first, second, and third model parameters.

[0120] The specific mutation experiment function is:

[0121]

[0122] Where, is the value of the mutation experiment function, is the number of point pairs separated by a distance h in the reinforcement test data, is the reference spacing distance, is the deflection angle of the tth experimental center in the reinforcement test data, is the deflection angle of the rth experimental center in the reinforcement test data, is the allowable error, t is the fourth index of the experimental center deflection angle, and r is the fifth index of the experimental center deflection angle.

[0123] The exponential covariance function is specifically:

[0124]

[0125] A3. Minimize the prediction variance under the unbiasedness constraint.

[0126] The specific expression of prediction variance is:

[0127]

[0128] Where, is the prediction variance, is the i-th eddy current weight, is the jth eddy current weight, for and The covariance value of for and The covariance value of .

[0129] A4. Construct a weight calculation function, construct a complete Kriging equation system based on the weight calculation function, and solve the Kriging equation system to obtain the eddy current weight.

[0130] The weight calculation function is specifically:

[0131]

[0132] Where, Calculate the function value for the weight, is the Lagrange multiplier.

[0133] The Kriging equations are specifically:

[0134]

[0135] A5. Input each eddy current weight into the relationship between the central deflection angle and the eddy current heat to obtain the eddy current heat corresponding to the central deflection angle.

[0136] It's worth noting that the reinforcement test data includes multiple test center deflection angles and experimental eddy current heat. The specific acquisition steps are: B1. Obtain the electric field strength around the transmission line tower base. Simulate the reinforcement distribution and layout in the laboratory based on each test center deflection angle, and apply the electric field strength around the transmission line. B2. Measure the eddy current heat of each rebar per day using instruments such as heat flux meters and heat flux sensors.

[0137] S22. Performing mean processing on the eddy current heat associated with the reinforcement distribution of each tower foot area to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area.

[0138] In the embodiment of the present invention, the average values ​​of the eddy current heat values ​​associated with the reinforcement distribution of each tower foot region are calculated respectively to obtain the eddy current optimization index values ​​corresponding to the reinforcement distribution of each tower foot region.

[0139] Step 206: Perform mechanical analysis on the gravity load bending moment and uplift bending moment associated with the reinforcement distribution of each tower foot area to obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area.

[0140] Furthermore, step 206 includes the following sub-steps:

[0141] S31. Perform variance processing on the gravity load bending moment associated with the reinforcement distribution in each tower foot area to obtain multiple first variances.

[0142] The first variance refers to the variance of the gravity load bending moment in the tower foot area.

[0143] In the embodiment of the present invention, the variance of the gravity load bending moment associated with the reinforcement distribution of each tower foot area is calculated respectively to obtain the first variance corresponding to the reinforcement distribution of each tower foot area.

[0144] S32. Perform variance processing on the upward force and bending moment associated with the reinforcement distribution of each tower foot area to obtain multiple second variances.

[0145] The second variance refers to the variance of the upward bending moment in the tower foot area.

[0146] In the embodiment of the present invention, the variances of the upward pulling forces and bending moments associated with the reinforcement distributions in the tower foot regions are calculated respectively to obtain a plurality of second variances.

[0147] S33. Based on the preset reinforcement load weight, weighted operations are performed on the first variance and the second variance associated with the reinforcement distribution of each tower foot area to obtain the uniform reinforcement load value corresponding to the reinforcement distribution of each tower foot area.

[0148] The reinforcement load weight refers to the influence coefficient corresponding to the first and second variances in the reinforcement. The reinforcement load weight includes the first and second reinforcement load weights, and the first reinforcement load weight + the second reinforcement load weight = 1. The first reinforcement load weight is greater than the second reinforcement load weight.

[0149] In an embodiment of the present invention, according to the first reinforcement load weight and the second reinforcement load weight, a weighted operation is performed on the first variance and the second variance associated with the reinforcement distribution of each tower foot area, respectively, to obtain the uniform value of the reinforcement load corresponding to the reinforcement distribution of each tower foot area.

[0150] It should be noted that, see Table 1, Figure 3 and Figure 4As shown, the uniformity of the reinforcement load (i.e., the unevenness of the reinforcement load), the variance of the gravity load moment in the tower foot area, and the variance of the upward force moment in the tower foot area all increase with each group, reflecting a positive relationship between these three parameters. The difference in the amount of increase with each increment is small, indicating that the positive correlation between the three is closer to a linear positive correlation. In most cases, the uniformity of the reinforcement load lies between the variance of the gravity load moment in the tower foot area and the variance of the upward force moment in the tower foot area, and is closer to the variance of the gravity load moment in the tower foot area.

[0151] Table 1

[0152]

[0153] It should be noted that the uniformity of the reinforcement load reflects the uneven distribution of the reinforcement load. A larger value indicates a more uneven reinforcement load distribution. The variance of the gravity load bending moment in the tower foot area measures the degree of fluctuation in each bending moment caused by the tower's own weight. It is primarily used to assess the uniformity of the load distribution under normal circumstances. A larger value indicates a more uneven gravity load distribution. The variance of the pull-out moment in the tower foot area reflects the degree of fluctuation in the pull-out force distribution caused by conductor breakage. It is primarily used to assess the reinforcement load distribution under the special circumstances of conductor breakage. A larger value indicates a more uneven pull-out force distribution.

[0154] It should be noted that since the variance of the upward force bending moment in the tower foot area only occurs in the special case of wire breakage, its influence is obviously insufficient compared to the variance of the gravity load bending moment in the permanent tower foot area. Therefore, under normal circumstances, the first reinforcement load weight is set to 0.8 and the second reinforcement load weight is set to 0.2, which can be adjusted according to actual conditions.

[0155] S34. Each gravity load bending moment is summed with the associated upward pulling bending moment to obtain a plurality of sinking and pulling bending moments.

[0156] In the embodiment of the present invention, the sum of each gravity load bending moment and the associated uplift bending moment is calculated to obtain a plurality of sinking and uplift bending moments.

[0157] S35. Performing mean processing on the sinking and pulling moments associated with the reinforcement distribution in each tower foot area to obtain a plurality of first mean values.

[0158] In the embodiment of the present invention, the mean values ​​of the sinking and drawing moments associated with the reinforcement distribution in each tower foot region are calculated respectively to obtain a plurality of first mean values.

[0159] S36. Perform variance processing on the sinking and pulling moments associated with the reinforcement distribution in each tower foot area to obtain multiple third-party variances.

[0160] The third deviation refers to the variance of the sinking and drawing moments in the tower foot area.

[0161] In the embodiment of the present invention, the variance of the sinking and drawing moments associated with the reinforcement distribution in each tower foot region is calculated respectively to obtain a plurality of third-party variances.

[0162] S37. Multiply the first mean and the third difference associated with the reinforcement distribution of each tower foot area respectively to obtain the sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area.

[0163] In the embodiment of the present invention, the product of the first mean and the third deviation associated with the reinforcement distribution of each tower foot area is calculated respectively to obtain the sinking and drawing damage value corresponding to the reinforcement distribution of each tower foot area.

[0164] It should be noted that, see Table 2, Figure 5 and Figure 6 As shown in the figure, with the increase of the group, the sinking and pulling damage value (i.e., sinking and pulling damage), the first mean and the third difference all show a stable growth trend, indicating that the sinking and pulling damage value, the first mean and the third difference show a significant positive correlation. Among them, the growth trend of the sinking and pulling damage value is much greater than the first mean and the third difference, which shows that there is a nonlinear positive correlation between the sinking and pulling damage value, the first mean and the third difference, indicating that the structural damage accumulates faster with the increase of load intensity and dispersion.

[0165] Table 2

[0166]

[0167] It should be noted that the sink-and-pull damage value reflects the combined damage to the reinforcement from the gravity load bending moment and the upward pull bending moment in the special case of a conductor breakage. The larger the value, the more severe the combined damage. The mean sink-and-pull bending moment reflects the combined impact of the load on the reinforcement in the special case of a conductor breakage. The larger the value, the greater the combined impact. The variance of the sink-and-pull bending moment reflects the distribution of the load on the reinforcement in the special case of a conductor breakage. The larger the value, the more uneven the load distribution on the reinforcement, and the more uneven the load distribution on the reinforcement, with a small number of bars bearing the majority of the load.

[0168] It should be noted that since the direction of the gravity load bending moment is downward and the direction of the pull-out force bending moment is upward, and that when the conductor breaks, the gravity load bending moment and the pull-out force bending moment exist simultaneously, the reinforcement must bear both the gravity load bending moment and the pull-out force bending moment. The sum of the gravity load bending moment and the pull-out force bending moment can be used to measure the load borne by the reinforcement when the gravity load bending moment and the pull-out force bending moment act simultaneously. The combined load borne by the reinforcement is measured using the first mean method. The combined load borne by the reinforcement is then coupled with the uniformity of the load distribution borne by the reinforcement using the sinking and pulling damage value to evaluate the combined damage to the reinforcement caused by the combined load of gravity and pull-out force.

[0169] Step 207: Based on a multi-objective genetic algorithm, each initial reinforcement distribution population is optimized according to each eddy current optimization index value, each reinforcement load uniformity value, and each sinking and pulling damage value to obtain a target reinforcement distribution corresponding to each tower foot area.

[0170] Furthermore, step 207 includes the following sub-steps:

[0171] S41. Perform non-dominated sorting on each initial reinforcement distribution population according to the eddy current optimization index value, reinforcement load uniformity value, and sinking and pulling damage value associated with each initial reinforcement distribution population to obtain multiple non-dominated sequences.

[0172] A non-dominated sequence refers to a set of non-dominated solutions sorted by dominance.

[0173] In an embodiment of the present invention, each initial reinforcement distribution population is non-dominatedly sorted based on the eddy current optimization index value, reinforcement load uniformity value and sinking and drawing damage value associated with each initial reinforcement distribution population, to obtain multiple non-dominated sequences.

[0174] S42. Input each eddy current optimization index value, each reinforcement load uniformity value, and each sinking and drawing damage value into a preset crowding function to obtain multiple crowding degrees.

[0175] In an embodiment of the present invention, each eddy current optimization index value, each reinforcement load uniformity value, and each sinking and drawing damage value are used as inputs of a preset crowding function to obtain multiple crowding degrees.

[0176] It should be noted that the congestion function is specifically:

[0177]

[0178] in, is the progress of the qth individual, To optimize the target number, For the q+1th individual The objective function of the optimization goal, For the q-1th individual The objective function of the optimization goal, For the The maximum value of the optimization objective, For the The minimum value of the optimization target, q is the index of the individual.

[0179] S43. Each initial reinforcement distribution population is updated according to the non-dominated sequence and the congestion degree associated with each initial reinforcement distribution population to obtain a plurality of updated populations.

[0180] In the embodiment of the present invention, selection, crossover and mutation operations are performed on each initial reinforcement distribution population according to the non-dominated sequence and the congestion degree associated with each initial reinforcement distribution population to obtain multiple updated populations.

[0181] It should be noted that the specific logic behind the selection is: randomly select two individuals from the population, compare the non-dominated sorting levels between the two individuals, and select the individual with a lower non-dominated sorting level. If the two individuals are at the same non-dominated sorting level, compare the crowding of the two individuals and select the individual with a higher crowding level as the parent individual.

[0182] It should be noted that performing a crossover operation by presetting a crossover ratio and performing a mutation operation by random perturbation are both conventional technical means in the art and will not be elaborated here.

[0183] It should be noted that the specific logic behind updating the population is as follows: the mutated parent populations are merged into a joint population, and a preset number of individuals are selected to form the next generation population (the preset number of individuals is usually half of the initial population). The selection principle is: starting from the first non-dominated sorting layer, the next non-dominated sorting layer is selected after the lower non-dominated sorting layers are selected, and individuals with high congestion in the same non-dominated sorting layer are given priority.

[0184] S44. Determine whether the update times of each initial reinforcement distribution population is greater than or equal to a preset iteration threshold.

[0185] S45. If the number of updates is less than the iteration threshold, the updated population is used as a new initial reinforcement distribution population, and the process jumps to the step of inputting the reinforcement distribution of each tower foot area into the tower base finite element analysis model to obtain multiple gravity load bending moments and multiple pull-out force bending moments.

[0186] In this embodiment of the present invention, it is determined whether the number of updates of each initial reinforcement distribution population is greater than or equal to a preset iteration threshold. If the number of updates is less than the iteration threshold, the updated population is used as the new initial reinforcement distribution population, and the process jumps to steps 204-207.

[0187] S46. If the number of updates is greater than or equal to the iteration threshold, the reinforcement distribution of the tower foot area corresponding to the maximum congestion value in the updated population is selected as the target reinforcement distribution.

[0188] In an embodiment of the present invention, when the number of updates is greater than or equal to the iteration threshold, the reinforcement distribution of the tower foot area corresponding to the maximum congestion value in the update population is selected as the target reinforcement distribution.

[0189] Step 208: Using each target reinforcement distribution as the reinforcement arrangement plan for the tower base.

[0190] In the embodiment of the present invention, the optimal combination of the position and center deviation angle of each reinforcement in each tower foot area of ​​the tower foundation is used as the reinforcement arrangement scheme of the tower foundation.

[0191] In an embodiment of the present invention, by obtaining the basic parameters of the tower foundation and the locations of each tower foot, dynamic reinforcement planning is performed on each tower foot location to obtain multiple tower foot areas and reinforcement quantities. A tower foundation finite element analysis model is constructed using the basic parameters and the locations of each tower foot. Based on the reinforcement quantity, the tower foundation finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area. Each target reinforcement distribution is used as the reinforcement layout scheme for the tower foundation. This overcomes the technical problem that traditional tower foundation reinforcement layout mainly adopts a vertical parallel arrangement, which easily causes the reinforcement to be subjected to bending moments exceeding the design value under extreme operating conditions, causing the tower foundation to crack, and reducing the reliability of transmission line operation. Compared with traditional tower foundation reinforcement layout methods, the present invention uses the basic parameters and the locations of each tower foot to construct a tower foundation finite element analysis model, and based on the reinforcement quantity, uses the tower foundation finite element analysis model to determine the target reinforcement distribution corresponding to each tower foot area. This ensures that the reinforcement within the tower foot area is subjected to coordinated forces, avoids tower foundation cracking caused by overloading of a few reinforcement bars, and improves the reliability of transmission line operation.

[0192] See also Figure 7 , Figure 7 This is a structural block diagram of a tower foundation reinforcement arrangement system provided in Example 3 of the present invention.

[0193] The present invention provides a tower foundation reinforcement arrangement system, comprising:

[0194] The acquisition module 301 is used to obtain the basic parameters of the tower foundation and the positions of each tower foot, and perform dynamic reinforcement planning processing on each tower foot position to obtain multiple tower foot areas and reinforcement quantities;

[0195] A construction module 302 is used to construct a tower foundation finite element analysis model using basic parameters and positions of each tower foot;

[0196] An optimization module 303 is configured to determine target reinforcement distribution corresponding to each tower foot region based on the reinforcement quantity using a tower foundation finite element analysis model;

[0197] The arrangement module 304 is used to use each target reinforcement distribution as the reinforcement arrangement plan of the tower foundation.

[0198] Furthermore, the acquisition module 301 includes:

[0199] A first distance submodule, configured to take the shortest distance from each tower foot position to the tower base edge as a first distance value;

[0200] A second distance submodule, configured to use the distance between any two tower foot positions as a second distance value;

[0201] A construction submodule is configured to select the minimum value of each first distance value and each second distance value as a third distance value, and multiply the third distance value by a preset area coefficient to obtain a tower foot radius;

[0202] Construct the tower foot area of ​​each tower foot position based on the tower foot radius;

[0203] The reinforcement quantity submodule is used to input the tower foot radius into the preset reinforcement quantity function to obtain the corresponding reinforcement quantity.

[0204] Furthermore, the optimization module 303 includes:

[0205] The population construction submodule is used to construct the initial reinforcement distribution population of each tower foot area according to the number of reinforcements, wherein each individual of the initial reinforcement distribution population corresponds to a tower foot area reinforcement distribution, and the tower foot area reinforcement distribution includes multiple reinforcement positions and multiple center deflection angles;

[0206] The simulation submodule is used to input the reinforcement distribution of each tower foot area into the tower foundation finite element analysis model to obtain multiple gravity load bending moments and multiple uplift bending moments;

[0207] The eddy current thermal field analysis submodule is used to perform eddy current thermal field analysis on the central deflection angle associated with the reinforcement distribution of each tower foot area, and obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area;

[0208] The mechanical analysis submodule is used to perform mechanical analysis on the gravity load bending moment and uplift bending moment associated with the reinforcement distribution in each tower foot area, and obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to the reinforcement distribution in each tower foot area;

[0209] The iterative optimization submodule is used to optimize the initial reinforcement distribution populations based on the multi-objective genetic algorithm according to the various eddy current optimization index values, the uniformity of the reinforcement loads, and the sinking and pulling damage values, and obtain the target reinforcement distribution corresponding to each tower foot area.

[0210] Furthermore, the eddy current thermal field analysis submodule includes:

[0211] An interpolation analysis unit is used to perform eddy current heat calculation on each center deflection angle based on the Kriging interpolation method and preset reinforcement experimental data to obtain multiple eddy current heat values;

[0212] The first averaging unit is used to perform averaging processing on the eddy current heat associated with the reinforcement distribution of each tower foot area, so as to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area.

[0213] Furthermore, the mechanical analysis submodule includes:

[0214] The first variance unit is used to perform variance processing on the gravity load bending moment associated with the reinforcement distribution of each tower foot area to obtain multiple first variances;

[0215] The second variance unit is used to perform variance processing on the upward force and bending moment associated with the reinforcement distribution of each tower foot area to obtain multiple second variances;

[0216] A weighting unit is used to perform a weighted operation on the first variance and the second variance associated with the reinforcement distribution of each tower foot area based on a preset reinforcement load weight, so as to obtain a uniform reinforcement load value corresponding to the reinforcement distribution of each tower foot area;

[0217] The summing unit is used to sum each gravity load bending moment with the associated uplift bending moment to obtain multiple sinking and uplift bending moments;

[0218] The second mean value unit is used to perform mean processing on the sinking and pulling moments associated with the reinforcement distribution of each tower foot area to obtain multiple first mean values;

[0219] The third-party difference unit is used to perform variance processing on the sinking and pulling moments associated with the reinforcement distribution in each tower foot area to obtain multiple third-party differences;

[0220] The multiplication unit is used to multiply the first mean and the third difference associated with the reinforcement distribution of each tower foot area respectively to obtain the sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area.

[0221] Furthermore, the submodules are iteratively optimized, including:

[0222] A non-dominated sorting unit is used to perform non-dominated sorting on each initial reinforcement distribution population according to the eddy current optimization index value, reinforcement load uniformity value, and sinking and pulling damage value associated with each initial reinforcement distribution population, thereby obtaining multiple non-dominated sequences;

[0223] A crowding degree unit is used to input various eddy current optimization index values, various reinforcement load uniformity values, and various sinking and drawing damage values ​​into a preset crowding degree function to obtain multiple crowding degrees;

[0224] An updating unit is used to update each initial reinforcement distribution population according to a non-dominated sequence and a crowding degree associated with each initial reinforcement distribution population, to obtain a plurality of updated populations;

[0225] The first analysis unit is used to determine whether the update times of each initial reinforcement distribution population is greater than or equal to a preset iteration threshold;

[0226] If the number of updates is less than the iteration threshold, the updated population is used as the new initial reinforcement distribution population, and the process jumps to the step of inputting the reinforcement distribution of each tower foot area into the tower foundation finite element analysis model to obtain multiple gravity load bending moments and multiple uplift bending moments;

[0227] If the number of updates is greater than or equal to the iteration threshold, the reinforcement distribution in the tower foot area corresponding to the maximum congestion value in the updated population is selected as the target reinforcement distribution.

[0228] See also Figure 8 , Figure 8 This is a structural block diagram of a computer device provided in Example 4 of the present invention.

[0229] An electronic device according to an embodiment of the present invention includes: a memory 401 and a processor 402, wherein the memory 401 stores a computer program; when the computer program is executed by the processor 402, the processor 402 executes the reinforcement arrangement method for the tower base as described in any of the above embodiments.

[0230] Memory 401 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 401 has storage space 403 for program code 413 for executing any of the method steps described above. For example, storage space 403 for program code may include individual program codes 413 for implementing various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When executed by a processing device, these codes cause the processing device to execute the various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When these codes are executed by a computing and processing device, they cause the computing and processing device to execute the various steps of the tower foundation reinforcement arrangement method described above.

[0231] The fifth embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the reinforcement arrangement method for a tower base as described in any of the above embodiments is implemented.

[0232] Embodiment 6 of the present invention further provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the reinforcement arrangement method for the tower base as described in any of the above embodiments.

[0233] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0234] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0235] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0236] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0237] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0238] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A tower foundation reinforcement arrangement method, characterized in that: include: Obtaining basic parameters of the tower foundation and positions of each tower foot, performing dynamic reinforcement planning processing on each tower foot position, and obtaining multiple tower foot areas and reinforcement quantities; Constructing a tower foundation finite element analysis model using the foundation parameters and the positions of each tower foot; Based on the reinforcement quantity, the tower foundation finite element analysis model is used to determine the target reinforcement distribution corresponding to each tower foot area; Using each target reinforcement distribution as the reinforcement arrangement scheme of the tower foundation; The step of determining the target reinforcement distribution corresponding to each tower foot area based on the reinforcement quantity using the tower foundation finite element analysis model comprises: Constructing an initial reinforcement distribution population for each tower foot region according to the number of reinforcements, wherein each individual of the initial reinforcement distribution population corresponds to a tower foot region reinforcement distribution, and the tower foot region reinforcement distribution includes multiple reinforcement positions and multiple center deflection angles; Inputting the reinforcement distribution of each tower foot region into the tower foundation finite element analysis model respectively to obtain multiple gravity load bending moments and multiple uplift bending moments; Performing eddy current thermal field analysis on the central deflection angle associated with the reinforcement distribution of each tower foot area to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area; Performing mechanical analysis on the gravity load bending moment and uplift bending moment associated with the reinforcement distribution of each tower foot area, respectively, to obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area; Based on a multi-objective genetic algorithm, each initial reinforcement distribution population is optimized according to each eddy current optimization index value, each reinforcement load uniformity value and each sinking and drawing damage value to obtain a target reinforcement distribution corresponding to each tower foot area.

2. The method for arranging reinforcement for a tower foundation according to claim 1, wherein: The step of dynamically planning the reinforcement of each tower foot position to obtain multiple tower foot areas and reinforcement quantities includes: The shortest distance from each of the tower foot positions to the tower base edge is used as the first distance value; Taking the distance between any two of the tower foot positions as the second distance value; Selecting the minimum value of each of the first distance values ​​and each of the second distance values ​​as a third distance value, and multiplying the third distance value by a preset area coefficient to obtain a tower foot radius; Constructing tower foot areas at each tower foot position based on the tower foot radius respectively; The tower foot radius is input into a preset reinforcement quantity function to obtain the corresponding reinforcement quantity.

3. The method for arranging reinforcement for a tower foundation according to claim 1, wherein: The step of performing eddy current thermal field analysis on the central deflection angle associated with the reinforcement distribution of each tower foot area to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area includes: Based on the Kriging interpolation method, eddy current heat calculation is performed for each center deflection angle according to the preset reinforcement experimental data to obtain multiple eddy current heat values; The eddy current heat associated with the reinforcement distribution of each tower foot area is averaged to obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area.

4. The method for arranging reinforcement for a tower foundation according to claim 1, wherein: The step of performing mechanical analysis on the gravity load bending moment and uplift bending moment associated with the reinforcement distribution of each tower foot area to obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area includes: performing variance processing on the gravity load bending moment associated with the reinforcement distribution of each tower foot region to obtain a plurality of first variances; Performing variance processing on the upward force and bending moment associated with the reinforcement distribution of each tower foot area to obtain multiple second variances; Based on the preset reinforcement load weight, weighted operations are performed on the first variance and the second variance associated with the reinforcement distribution of each tower foot area to obtain the uniform reinforcement load value corresponding to the reinforcement distribution of each tower foot area; Each of the gravity load bending moments is summed with the associated upward pulling bending moment to obtain a plurality of sinking and pulling bending moments; performing mean processing on the sinking and pulling moments associated with the reinforcement distribution of each tower foot region to obtain a plurality of first means; Performing variance processing on the sinking and pulling moments associated with the reinforcement distribution of each tower foot area to obtain multiple third-party variances; The first mean and the third difference associated with the reinforcement distribution of each tower foot area are multiplied respectively to obtain the sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area.

5. The method for arranging reinforcement for a tower foundation according to claim 1, wherein: The step of optimizing each of the initial reinforcement distribution populations based on the multi-objective genetic algorithm according to each of the eddy current optimization index values, each of the reinforcement load uniformity values, and each of the sinking and drawing damage values ​​to obtain a target reinforcement distribution corresponding to each of the tower foot regions includes: performing non-dominated sorting on each of the initial reinforcement distribution populations according to the eddy current optimization index value, reinforcement load uniformity value, and sinking and drawing damage value associated with each of the initial reinforcement distribution populations to obtain a plurality of non-dominated sequences; Inputting each of the eddy current optimization index values, each of the reinforcement load uniformity values, and each of the sinking and drawing damage values ​​into a preset crowding function to obtain a plurality of crowding degrees; updating each of the initial reinforcement distribution populations according to the non-dominated sequence associated with each of the initial reinforcement distribution populations and the congestion degree to obtain a plurality of updated populations; Determining whether the update times of each of the initial reinforcement distribution populations is greater than or equal to a preset iteration threshold; If the number of updates is less than the iteration threshold, the updated population is used as a new initial reinforcement distribution population, and the step of inputting the reinforcement distribution of each tower foot region into the tower foundation finite element analysis model to obtain multiple gravity load bending moments and multiple uplift bending moments is skipped and executed; If the number of updates is greater than or equal to the iteration threshold, the tower foot area reinforcement distribution corresponding to the maximum congestion value in the updated population is selected as the target reinforcement distribution.

6. A tower foundation reinforcement arrangement system, characterized in that: include: An acquisition module is used to obtain basic parameters of the tower foundation and the positions of each tower foot, and perform dynamic reinforcement planning processing on each of the tower foot positions to obtain multiple tower foot areas and reinforcement quantities; A construction module, configured to construct a tower foundation finite element analysis model using the basic parameters and the positions of the tower feet; an optimization module, configured to determine, based on the reinforcement quantity, a target reinforcement distribution corresponding to each tower foot region using the tower foundation finite element analysis model; a layout module, configured to use each target reinforcement distribution as a reinforcement layout scheme for the tower foundation; The optimization module includes: A population construction submodule is used to construct an initial reinforcement distribution population for each of the tower foot regions according to the number of reinforcements, wherein each individual of the initial reinforcement distribution population corresponds to a tower foot region reinforcement distribution, and the tower foot region reinforcement distribution includes multiple reinforcement positions and multiple center deflection angles; A simulation submodule is used to input the reinforcement distribution of each tower foot area into the tower foundation finite element analysis model to obtain multiple gravity load bending moments and multiple uplift bending moments; The eddy current thermal field analysis submodule is used to perform eddy current thermal field analysis on the central deflection angle associated with the reinforcement distribution of each tower foot area, and obtain the eddy current optimization index value corresponding to the reinforcement distribution of each tower foot area; A mechanical analysis submodule is used to perform mechanical analysis on the gravity load bending moment and uplift bending moment associated with the reinforcement distribution of each tower foot area, and obtain the reinforcement load uniformity value and sinking and pulling damage value corresponding to the reinforcement distribution of each tower foot area; The iterative optimization submodule is used to optimize each of the initial reinforcement distribution populations based on the multi-objective genetic algorithm according to each of the eddy current optimization index values, each of the reinforcement load uniformity values ​​and each of the sinking and drawing damage values, so as to obtain the target reinforcement distribution corresponding to each of the tower foot areas.

7. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the tower foundation reinforcement arrangement method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the reinforcement arrangement method for a tower foundation as described in any one of claims 1 to 5 is implemented.

9. A computer program product, characterized in that The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the reinforcement arrangement method for a tower foundation according to any one of claims 1 to 5.

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