An intelligent analysis method for the minimum reinforcement area of ​​transmission line pile foundations

Abstract

The present invention provides an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation, which relates to the technical field of transmission line pile foundation manufacturing. The method includes collecting load data of the transmission line pile and geometric parameters of the transmission line pile foundation; calculating the total load of the transmission line pile, and calculating the minimum bearing capacity of the positive section of the transmission line pile foundation; constructing a group of calculation equations for the tensile bearing capacity of the positive section of the circular cross-section eccentric tension member, using the golden section method to optimize the value range of the reinforcement area, and using the Newton iteration method to solve the group of calculation equations for the tensile bearing capacity of the positive section to obtain the minimum reinforcement area of ​​the transmission line pile foundation. The present invention provides important support for the design and construction of the transmission line pile foundation through an efficient, accurate and reasonable design concept, promotes the development of civil engineering technology, and has broad application prospects and good economic benefits.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission line pile foundation manufacturing, and in particular to an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation. Background Art

[0002] As a crucial structure in the power transmission system, the stability and load-bearing capacity of transmission line pile foundations are directly related to the safety and reliability of the power grid. With the acceleration of urbanization and the growth of electricity demand, the design and construction of transmission line pile foundations have become particularly important.

[0003] Traditional calculation methods often rely on manual calculations, making it difficult to fully utilize advanced computing technologies and data analysis tools. Faced with large amounts of load data and complex geometric parameters, manual processing is not only inefficient but also prone to calculation errors. Traditional methods usually estimate the reinforcement area based on experience and fail to effectively optimize it based on actual load conditions and structural characteristics. This may not only lead to over-design and waste of resources, but may also create hidden dangers due to insufficient reinforcement. Under complex load conditions, traditional methods often lack systematic theoretical support, especially when there are external factors affecting them. The lack of effective calculation models and tools reduces the reliability of the analysis results. Summary of the Invention

[0004] The present invention provides an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation, which is used to solve the defects in the prior art.

[0005] The present invention provides an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation, comprising:

[0006] Collect the load data of the transmission line piles and the geometric parameters of the transmission line pile foundation, calculate the total load of the transmission line piles based on the load data, and calculate the minimum bearing capacity of the positive section of the transmission line pile foundation.

[0007] Based on the minimum bearing capacity, a group of equations for calculating the tensile bearing capacity of the normal section of the circular cross-section eccentrically loaded tension member is constructed. According to the geometric parameters, the golden section method is used to optimize the range of the reinforcement area. The Newton iteration method is used to solve the group of equations for calculating the tensile bearing capacity of the normal section, and the minimum reinforcement area of ​​the transmission line pile foundation is obtained.

[0008] According to an intelligent analysis method for minimum reinforcement area of ​​a transmission line pile foundation provided by the present invention, load data includes deadweight load, wire load, wind load, construction load and other loads.

[0009] According to the intelligent analysis method for the minimum reinforcement area of ​​transmission line pile foundations provided by the present invention, the deadweight load represents the mass of the transmission line pile superstructure, including the mass of the tower and equipment. The wire load represents the vertical load and horizontal tension caused by the tension of the wires on the transmission line piles. The wind load represents the vertical load and horizontal tension generated by the wind on the transmission line piles. The construction load represents the mechanical and material mass temporarily applied during the installation of the transmission line piles. Other loads represent the mass of frozen ice and snow applied to the transmission line pile superstructure due to special weather conditions.

[0010] According to the present invention, a method for intelligently analyzing the minimum reinforcement area of ​​a transmission line pile foundation is provided, wherein the process of obtaining the load of the power line includes:

[0011] Collect quality data of the wires connecting both ends of the transmission line piles and the angle data of the wires at both ends and the horizontal plane.

[0012] Calculate the tension data of the wires at both ends of the transmission line pile based on the quality data.

[0013] Based on the tension data and the angle data with the horizontal plane, the vertical load and horizontal tension exerted by the wires at both ends of the transmission line pile on the transmission line pile are calculated.

[0014] The vertical load and horizontal tension applied by the wires at both ends of the transmission line pile are summarized to obtain the vertical load and horizontal tension of the wires on the transmission line pile.

[0015] According to an intelligent analysis method for minimum reinforcement area of ​​a transmission line pile foundation provided by the present invention, the process of obtaining wind load includes:

[0016] Collect wind force and direction data at transmission line pile locations.

[0017] The windward area of ​​the transmission line pile superstructure is obtained based on the transmission line pile superstructure and wind direction data.

[0018] Obtain wind loads on transmission line piles based on windward area and wind force data.

[0019] Based on the wind direction data, the vertical and horizontal components of the wind load are calculated to obtain the vertical load and horizontal tension generated by the transmission line piles under the action of wind.

[0020] According to an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation provided by the present invention, the minimum bearing capacity of a positive cross-section of a transmission line pile foundation includes eccentric pressure and eccentric tension.

[0021] According to the intelligent analysis method for the minimum reinforcement area of ​​transmission line pile foundations provided by the present invention, eccentric compressive forces include deadweight loads, construction loads, other loads, vertical loads from cable tension, and vertical loads from wind. Eccentric tensile forces include horizontal tension from cable tension and horizontal tension from wind.

[0022] According to the present invention, a method for intelligently analyzing the minimum reinforcement area of ​​a transmission line pile foundation is provided. The geometric parameters include the diameter of the transmission line pile foundation, the cross-sectional area of ​​all longitudinal reinforcements, the radius of the circle containing the center of gravity of the longitudinal reinforcement, and the eccentricity of the axial pressure to the center of gravity of the cross section.

[0023] According to the present invention, an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation is provided, wherein the optimization process using the golden section method includes:

[0024] The initial limit values ​​are set according to historical data. The initial limit values ​​include an initial upper limit value and an initial lower limit value, which constitute a search space.

[0025] According to the range of the search space, two split points are calculated using the golden ratio, and the split points represent the values ​​of a set of reinforcement areas.

[0026] Compare the function values ​​of the two split points. The function value represents the difference between the bearing capacity corresponding to the reinforcement area represented by the split point and the minimum bearing capacity.

[0027] The split point with the smallest function value and the initial limit value closest to the split point are used as the upper and lower limit values ​​to generate a new search space. It is judged whether the new search space meets the preset ideal range. If so, the ideal range is output. Otherwise, the two split points are recalculated using the golden section ratio in the new search space, and the function values ​​of the two new split points are compared to obtain a search space with a narrowed range.

[0028] According to the present invention, an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation is provided. The process of solving the equations for calculating the tensile bearing capacity of the normal section using the Newton iteration method includes:

[0029] The difference between the bearing capacity corresponding to the current reinforcement area of ​​the transmission line pile within the ideal range and the minimum bearing capacity is taken as the value of the objective function.

[0030] Solve the derivative of the bearing capacity with respect to the reinforcement area within the ideal range of the reinforcement area of ​​the transmission line pile foundation.

[0031] The reinforcement area is updated according to the value of the objective function and the value of the function derivative using the Newton iteration method.

[0032] It is determined whether the difference between the new reinforcement area and the current reinforcement area reaches a preset threshold. If so, the new reinforcement area is output to obtain the minimum reinforcement area of ​​the transmission line pile foundation.

[0033] The present invention provides an intelligent analysis method for the minimum reinforcement area of ​​transmission line pile foundations. By collecting the load data and geometric parameters of the transmission line piles, it is possible to obtain load information including self-weight load, wire load, wind load, construction load and other special situations in real time. Comprehensive load data analysis enables designers to accurately grasp the actual working conditions borne by the pile foundation and enhance the reliability of the design. It not only provides a practical basis for subsequent design, but also can timely reflect the load changes during the construction phase and realize dynamic monitoring of the pile foundation. The positive section tensile bearing capacity calculation equation group of circular cross-section eccentrically tensioned members is adopted. By establishing a scientific calculation model, accurate bearing capacity analysis is supported, thereby effectively improving the accuracy of the calculation. At the same time, through a comprehensive analysis of eccentric pressure and eccentric tension, taking into account the influence of various loads on the pile structure, its safety under various extreme conditions is ensured. The use of the golden section method and Newton iteration method to optimize the reinforcement area reflects the scientific nature and efficiency of the calculation process. The golden section method gradually narrows the range of optimal solutions through reasonable segmentation ratios, ensuring high efficiency in the search process, while the Newton iteration method corrects the reinforcement area in real time to ensure the accuracy of the final result. This not only shortens the design cycle but also accelerates the formulation of construction plans. Effective calculation of the minimum reinforcement area through intelligent analysis can significantly improve the rationality of the design, avoid unnecessary waste of resources due to over-design, and reduce safety risks caused by insufficient reinforcement. The method of combining scientific research with engineering practice helps to maximize economic benefits while ensuring structural safety, bringing a higher return on investment to engineering projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are 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.

[0035] Figure 1 This is a flow chart of an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation provided by an embodiment of the present invention;

[0036] Figure 2 1 is a flow chart of optimizing the value range of reinforcement area using the golden section method in an embodiment of the present invention;

[0037] Figure 31 is a flow chart of solving the equation group for calculating the tensile bearing capacity of the normal section using the Newton iteration method in this embodiment. DETAILED DESCRIPTION

[0038] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0039] The following combination Figure 1-Figure 3 The present invention describes an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation.

[0040] Figure 1 It is a structural schematic diagram of an intelligent analysis method for minimum reinforcement area of ​​a transmission line pile foundation provided by an embodiment of the present invention.

[0041] like Figure 1 As shown, an embodiment of the present invention provides an intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation, comprising:

[0042] Collect the load data of the transmission line piles and the geometric parameters of the transmission line pile foundation, calculate the total load of the transmission line piles based on the load data, and calculate the minimum bearing capacity of the positive section of the transmission line pile foundation.

[0043] Load data includes self-weight load, power line load, wind load, construction load and other loads.

[0044] Deadweight loads represent the mass of the transmission line pile superstructure, including the mass of the tower and equipment. Wire loads represent the vertical loads and horizontal tensions caused by the tension of the wires on the transmission line piles. Wind loads represent the vertical loads and horizontal tensions on the transmission line piles caused by wind. Construction loads represent the mechanical and material loads temporarily imposed during the installation of the transmission line piles. Other loads represent the amount of ice and snow applied to the transmission line pile superstructure due to unusual weather conditions.

[0045] The load data acquisition system for transmission line piles consists of a sensor network, a data transmission module, and a central processing unit. Strain gauge load cells are installed at key tower nodes to measure the static mass of the tower and equipment. Distributed fiber optic sensors monitor dynamic mass changes during equipment installation in real time. Tension sensors are placed at conductor connections, and in conjunction with inclinometers, they acquire the conductor's spatial posture parameters, including the angle between the conductor and the horizontal plane, in real time. A triaxial anemometer is installed on the windward side of the tower to record wind speed data at different heights, while a wind vane is used simultaneously to monitor wind direction changes. Earth pressure cells are deployed around the pile foundation to monitor foundation deformation. Load cells are installed on temporary support structures to record the temporary mass of machinery and materials during construction. The sampling frequency must meet the requirements for dynamic load capture. Integrated ice and rain sensors monitor ice thickness and snowfall, while temperature and humidity sensors record environmental conditions. Heating devices are also included to prevent sensor failure due to icing.

[0046] Outliers outside the sensor's range are eliminated, and high-frequency noise interference is eliminated through filtering. A unified timestamp alignment mechanism is established to ensure that the timing error of data from different sensors is less than 10 milliseconds. The relationship between conductor tension and inclination angle is verified to conform to physical laws. For example, conductor tension should decrease as inclination angle increases, and clearly contradictory data must be eliminated.

[0047] The deadweight load including the mass of the tower and equipment is directly obtained through the weighing sensor and the weight of all superstructures needs to be accumulated.

[0048] Construction loads include direct recording of the mass of temporary construction machinery and materials, and calculation of their concentrated loads on the pile foundation based on the position of action.

[0049] Special loads, including ice and snow loads, are calculated based on local meteorological data. For example, ice mass can be calculated based on ice thickness and conductor surface area, while snow mass can be estimated based on snowfall volume and duration.

[0050] The process of obtaining wind loads includes:

[0051] Collect wind force and direction data at the transmission line pile locations. Calculate the wind pressure on the pile foundation surface based on the measured wind speed and direction, combined with air density and drag coefficient.

[0052] The windward area of ​​the transmission line pile superstructure is obtained based on the wind direction data. The wind pressure values ​​at different locations are determined by simulating the airflow distribution around the pile.

[0053] Obtain wind loads on transmission line piles based on windward area and wind force data.

[0054] Based on wind direction data, the vertical and horizontal components of the wind load are calculated to determine the vertical load and horizontal tension on the transmission line piles caused by wind. If the angle between the wind direction and the plumb line is β, the vertical component is the total wind load multiplied by the cosine of the angle, and the horizontal component is the total wind load multiplied by the sine of the angle.

[0055] The process of obtaining wire loads includes:

[0056] Collect quality data of the wires connecting both ends of the transmission line piles and the angle data of the wires at both ends and the horizontal plane.

[0057] Calculate the tension of the wires at both ends of the transmission line pile based on mass data. Calculate the static tension of the wire based on the mass and angle data at both ends. When the mass distribution of the wire is known, derive the initial tension value based on gravity and the inclination angle. Considering the effect of wind speed on wire tension, dynamic tension increases with increasing wind speed. Adjust the static tension using a wind speed correction factor to obtain the actual dynamic tension.

[0058] Based on the tension data and the angle data with the horizontal plane, the vertical load and horizontal tension exerted by the wires at both ends of the transmission line pile on the transmission line pile are calculated.

[0059] The vertical load and horizontal tension exerted by the wires at both ends of the transmission line pile are summed to obtain the vertical load and horizontal tension of the wires at the transmission line pile. When the angle between the wire and the plumb line is θ, the vertical load is the tension multiplied by the cosine of the angle, while the horizontal tension is the tension multiplied by the sine of the angle. The wire loads at both ends must be calculated separately and then summed to obtain the total vertical load and total horizontal tension.

[0060] The minimum bearing capacity of the positive section of the transmission line pile foundation includes eccentric pressure and eccentric tension.

[0061] Eccentric compressive forces include deadweight loads, construction loads, other loads, vertical loads from wire tension, and vertical loads from wind. Eccentric tensile forces include horizontal tensile forces from wire tension and horizontal tensile forces from wind.

[0062] The geometric parameters include the diameter of the transmission line pile foundation, the cross-sectional area of ​​all longitudinal reinforcements, the radius of the circle where the centroid of the longitudinal reinforcement is located, and the eccentricity of the axial pressure to the centroid of the cross-sectional area.

[0063] Eccentric compression occurs when the load acting on a pile foundation exceeds its center of gravity, causing the pile to be compressed and possibly tilted or bent. Eccentric tension, another significant factor affecting the bearing capacity of a pile foundation, primarily involves horizontal tension caused by external factors.

[0064] Based on the minimum bearing capacity, a group of equations for calculating the tensile bearing capacity of the normal section of the circular cross-section eccentrically loaded tension member is constructed. According to the geometric parameters, the golden section method is used to optimize the range of the reinforcement area. The Newton iteration method is used to solve the group of equations for calculating the tensile bearing capacity of the normal section, and the minimum reinforcement area of ​​the transmission line pile foundation is obtained.

[0065] Figure 2 3 is a flow chart of optimizing the value range of the reinforcement area using the golden section method in an embodiment of the present invention.

[0066] like Figure 2 As shown in Figure 2, the optimization process using the golden section method includes:

[0067] The initial limit values ​​are set according to historical data. The initial limit values ​​include an initial upper limit value and an initial lower limit value, which constitute a search space.

[0068] By statistically analyzing historical data and previous projects, we can reasonably determine the initial range, which forms the search space and provides the basis for subsequent searches.

[0069] The initial upper limit is the maximum acceptable reinforcement area in the design, typically based on rules of thumb and code requirements. The initial lower limit is the minimum requirement to ensure the safety of the structure under minimal loads. These two values ​​define a one-dimensional range that represents the possible reinforcement design space.

[0070] With the initial limit values ​​in place, the next step is to construct a more refined search space. Based on the initial upper and lower limits, the range of the search space can be calculated. This range serves as the feasible region for the optimization problem.

[0071] According to the range of the search space, two split points are calculated using the golden ratio, and the split points represent the values ​​of a set of reinforcement areas.

[0072] Within the search space, the golden section method is used to segment the space. This method is an effective optimization technique that divides the search space into two parts using a specific ratio to facilitate finding the optimal solution. Specifically, using the golden section ratio, two segmentation points are calculated, located at different locations within the search space. Each segmentation point represents a set of possible reinforcement areas.

[0073] Calculate the function value at each split point. The function value compared is the difference between the bearing capacity corresponding to the reinforced area and the minimum bearing capacity. Bearing capacity is a core indicator of foundation design, and ensuring it is greater than or equal to the minimum bearing capacity is crucial to structural safety.

[0074] The split point with the smallest function value and the initial limit value closest to the split point are used as the upper and lower limit values ​​to generate a new search space. It is judged whether the new search space meets the preset ideal range. If so, the ideal range is output. Otherwise, the two split points are recalculated using the golden section ratio in the new search space, and the function values ​​of the two new split points are compared to obtain a search space with a narrowed range.

[0075] By comparing the function values ​​at two split points, we can determine which split point is closer to the ideal load-bearing capacity. During this process, we select the split point with the smallest function value, representing a new reinforcement area, and record the initial limit value closest to that split point. These together form the upper and lower limits of the new search space.

[0076] Once a new search space is generated, it is necessary to determine whether this new range meets the preset ideal range. If so, the reinforcement area is the desired result and is further output; if not, it is necessary to continue to refine the segmentation within the new search space.

[0077] To this end, continue to use the golden section method to recalculate the two new segmentation points, compare the function values ​​of the two new points again, and obtain a smaller search space to continue converging to the optimal solution.

[0078] Figure 3 1 is a flow chart of solving the equation group for calculating the tensile bearing capacity of the normal section using the Newton iteration method in this embodiment.

[0079] like Figure 3 As shown in Figure 2, the process of solving the equations for calculating the tensile bearing capacity of the normal section using the Newton iteration method includes:

[0080] Once the search is narrowed down to the ideal range, the Newton iteration method is used to more accurately calculate the selected reinforcement area. The Newton iteration method is a numerical method that can effectively find the roots of a function through successive linear approximations.

[0081] The difference between the bearing capacity corresponding to the current reinforcement area of ​​the transmission line pile within the ideal range and the minimum bearing capacity is used as the value of the objective function. This objective function describes the effectiveness of the current reinforcement solution and ideally its value should be close to zero.

[0082] The derivative of the bearing capacity with respect to the reinforcement area within the ideal range of reinforcement area for transmission line pile foundations is calculated. This derivative represents the sensitivity of the objective function to the reinforcement area and can indicate how to adjust the reinforcement area to achieve a better bearing capacity. Therefore, accurately calculating the derivative of the bearing capacity with respect to the reinforcement area is crucial.

[0083] Using the Newton iteration method, the reinforcement area is updated based on the objective function and its derivative. A simple iterative formula is used to update the reinforcement area based on the current value of the objective function and its derivative. The update step involves calculating the new reinforcement area using the results of the previous iteration and the updated formula.

[0084] It is determined whether the difference between the new reinforcement area and the current reinforcement area reaches a preset threshold. If so, the new reinforcement area is output to obtain the minimum reinforcement area of ​​the transmission line pile foundation.

[0085] The preset threshold is set empirically to ensure full convergence of the optimization process. If the difference is less than the preset threshold, it indicates that the new reinforcement area is close enough to the ideal state. At this point, the new reinforcement area is output as the final result. After a series of calculations and process optimization, the output new reinforcement area represents the minimum required bearing capacity of the transmission line pile foundation, ensuring compliance with engineering specifications and safety standards, and will be used as a reference for subsequent design and construction.

[0086] To ensure the rationality of the new reinforcement area, further verification can be performed. By performing a sensitivity analysis on the relationship between reinforcement area and bearing capacity, we can understand the performance and stability of the reinforcement scheme under different load conditions and changes in structural parameters. We can also understand how parameter changes within a certain range affect the safety and stability of the pile foundation, so as to make necessary adjustments.

[0087] In sensitivity analysis, you can generate several scenarios and run simulations to see how the reinforcement area behaves under various loads. This helps identify the most critical loading conditions to ensure a robust design.

[0088] If it is found during the verification process that the designed reinforcement area cannot effectively meet the safety requirements under certain conditions, it is possible to return to the earlier search space and the application of the golden section method, adjust the initial limit value, and reset the search space.

[0089] This allows for the consideration of multiple factors at the initial design stage, enabling better adaptation to varying load conditions and environmental pressures during subsequent design processes. Furthermore, design optimization is not limited to improving bearing capacity. The selection of reinforcement area also requires consideration of cost-effectiveness and constructibility, avoiding the financial burden of increasing reinforcement volume. Therefore, the design must strike a reasonable balance between safety, economy, and constructibility.

[0090] After completing the calculation and optimization process, the results obtained can be promoted and applied in actual projects. By summarizing the intelligent optimization technology for the reinforcement area of ​​transmission line pile foundations, this method can be adopted in similar engineering designs in the future.

[0091] Once implemented, this optimization process can be integrated into engineering design software, enabling automatic calculation of the minimum required reinforcement area at the early stages of design, reducing manual calculation errors and improving design efficiency. Furthermore, these calculation models can be continuously optimized to adapt to the use of new materials, technologies, and construction methods.

[0092] By using historical data to set the initial limit value, the golden section method to refine the search space, and the Newton iteration method to accurately solve the problem, an efficient and intelligent calculation and optimization process for the minimum reinforcement area of ​​transmission line pile foundations was formed.

[0093] This not only provides a solution to the problem but also offers new insights and a basis for the scientific development of design specifications for the power industry. With technological advancements, the application of intelligent algorithms in the design and evaluation of transmission line pile foundations will become increasingly widespread, significantly improving the efficiency and safety of engineering design. This fully demonstrates the potential of advanced computing technology in engineering practice, promotes technological innovation in civil engineering, and provides a theoretical foundation and practical guidance for achieving safer, more economical, and efficient infrastructure construction.

[0094] In summary, this embodiment provides an intelligent analysis method for the minimum reinforcement area of ​​transmission line pile foundations. By collecting the load data and geometric parameters of the transmission line piles, this solution can obtain load information including self-weight load, wire load, wind load, construction load and other special situations in real time. Comprehensive load data analysis enables designers to accurately grasp the actual working conditions borne by the pile foundation and enhance the reliability of the design. It not only provides a practical basis for subsequent design, but also can timely reflect the load changes during the construction phase and realize dynamic monitoring of the pile foundation. The positive section tensile bearing capacity calculation equation group of circular cross-section eccentrically tensioned members is adopted. By establishing a scientific calculation model, accurate bearing capacity analysis is supported, thereby effectively improving the accuracy of the calculation. At the same time, through the comprehensive analysis of eccentric pressure and eccentric tension, taking into account the influence of various loads on the pile structure, its safety under various extreme conditions is ensured. The use of the golden section method and Newton iteration method to optimize the reinforcement area reflects the scientific nature and efficiency of the calculation process. The golden section method gradually narrows the range of optimal solutions through reasonable segmentation ratios, ensuring high efficiency in the search process, while the Newton iteration method corrects the reinforcement area in real time to ensure the accuracy of the final result. This not only shortens the design cycle but also accelerates the formulation of construction plans. Effective calculation of the minimum reinforcement area through intelligent analysis can significantly improve the rationality of the design, avoid unnecessary waste of resources due to over-design, and reduce safety risks caused by insufficient reinforcement. The method of combining scientific research with engineering practice helps to maximize economic benefits while ensuring structural safety, bringing a higher return on investment to engineering projects.

[0095] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0096] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. 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. An intelligent analysis method for the minimum reinforcement area of ​​a transmission line pile foundation, characterized in that: include: Collecting load data of the transmission line pile and geometric parameters of the transmission line pile foundation, calculating the total load of the transmission line pile based on the load data, and calculating the minimum bearing capacity of the positive section of the transmission line pile foundation; Constructing a group of equations for calculating the tensile bearing capacity of the normal section of the circular cross-section eccentrically tensioned member based on the minimum bearing capacity, optimizing the range of values ​​for the reinforcement area using the golden section method based on the geometric parameters, and solving the group of equations for calculating the tensile bearing capacity of the normal section using the Newton iteration method to obtain the minimum reinforcement area for the transmission line pile foundation; The process of optimization using the golden section method includes: Setting initial limit values ​​according to historical data, wherein the initial limit values ​​include an initial upper limit value and an initial lower limit value, forming a search space; According to the range of the search space, two segmentation points are calculated using the golden ratio, and the segmentation points represent a set of values ​​of the reinforcement area; Comparing the function values ​​of the two split points, wherein the function value represents the difference between the bearing capacity corresponding to the reinforcement area represented by the split point and the minimum bearing capacity; The split point with the minimum function value and the initial limit value closest to the split point are used as the upper and lower limit values ​​to generate a new search space. It is judged whether the new search space meets the preset ideal range. If so, the ideal range is output. Otherwise, the two split points are recalculated in the new search space using the golden ratio, and the function values ​​of the two new split points are compared to obtain a narrowed search space. The process of solving the above-mentioned equations for calculating the tensile bearing capacity of the normal section using the Newton iteration method includes: The difference between the bearing capacity corresponding to the current reinforcement area of ​​the transmission line pile within the ideal range and the minimum bearing capacity is used as the value of the objective function; Solve the derivative of the bearing capacity with respect to the reinforcement area within the ideal range of the reinforcement area of ​​the transmission line pile foundation; Use Newton iteration method to update the reinforcement area according to the value of the objective function and the value of the function derivative; It is determined whether the difference between the new reinforcement area and the current reinforcement area reaches a preset threshold. If so, the new reinforcement area is output to obtain the minimum reinforcement area of ​​the transmission line pile foundation.

2. The intelligent analysis method for minimum reinforcement area of ​​transmission line pile foundation according to claim 1 is characterized in that: The load data includes self-weight load, power line load, wind load, construction load and other loads.

3. The intelligent analysis method for minimum reinforcement area of ​​transmission line pile foundation according to claim 2 is characterized in that: The self-weight load represents the mass of the superstructure of the transmission line pile, including the mass of the tower and the mass of the equipment; the wire load represents the vertical load and horizontal tension of the wire tension of the transmission line pile; the wind load represents the vertical load and horizontal tension generated by the transmission line pile under the action of wind; the construction load represents the mechanical mass and material mass temporarily applied during the installation of the transmission line pile; the other loads represent the mass of frozen ice and snow applied to the superstructure of the transmission line pile due to special weather.

4. The intelligent analysis method for minimum reinforcement area of ​​transmission line pile foundation according to claim 3 is characterized in that: The process of obtaining the wire load includes: Collect quality data of wires connected to both ends of the transmission line piles and the angle data between the wires at both ends and the horizontal plane; Calculating the tension data of the electric wires at both ends of the transmission line pile according to the quality data; Calculating the vertical load and horizontal tension applied by the wires at both ends of the transmission line pile to the transmission line pile based on the tension data and the angle data with the horizontal plane; The vertical load and horizontal tension applied by the wires at both ends of the transmission line pile are summarized to obtain the vertical load and horizontal tension of the wires on the transmission line pile.

5. The intelligent analysis method for minimum reinforcement area of ​​transmission line pile foundation according to claim 3 is characterized in that: The process of obtaining the wind load includes: Collect wind force and direction data at transmission line pile locations; Obtaining a windward area of ​​the transmission line pile superstructure based on the transmission line pile superstructure and the wind direction data; Obtaining wind loads on transmission line piles based on the windward area and the wind force data; The components of the wind load in the vertical direction and the horizontal direction are calculated according to the wind direction data, and the vertical load and the horizontal tension generated by the transmission line pile under the action of wind are obtained.

6. The intelligent analysis method for minimum reinforcement area of ​​transmission line pile foundation according to claim 1, characterized in that: The minimum bearing capacity of the positive cross-section of the transmission line pile foundation includes eccentric pressure and eccentric tension.

7. The intelligent analysis method for minimum reinforcement area of ​​transmission line pile foundation according to claim 6, characterized in that: The eccentric compressive force includes deadweight load, construction load, other loads, vertical load of wire tension and vertical load under wind action; the eccentric tensile force includes horizontal tension of wire tension in the horizontal direction and horizontal tension under wind action.

8. The intelligent analysis method for minimum reinforcement area of ​​transmission line pile foundation according to claim 1, characterized in that: The geometric parameters include the diameter of the transmission line pile foundation, the cross-sectional area of ​​all longitudinal steel bars, the radius of the circle where the center of gravity of the longitudinal steel bars is located, and the eccentricity of the axial pressure to the center of gravity of the cross section.

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