Intelligent analysis method for minimum reinforcement area of power transmission line pile foundation

Abstract

The invention provides an intelligent analysis method for the minimum reinforcement area of a power transmission line pile foundation, and relates to the technical field of power transmission line pile foundation manufacturing. The method comprises the steps of collecting load data of a power transmission line pile and geometric parameters of a power transmission line pile foundation; the total load of the power transmission line piles is calculated, and the minimum bearing capacity of the normal section of the power transmission line pile foundation is calculated; and a normal section tension bearing capacity calculation equation set of the circular section eccentric tension component is constructed, the value range of the reinforcement area is optimized through a golden section method, the normal section tension bearing capacity calculation equation set is solved through a Newton iteration method, and the minimum reinforcement area of the power transmission line pile foundation is obtained. Through the efficient, accurate and reasonable design concept, important support is provided for design and construction of the power transmission line pile foundation, development of the civil engineering technology is promoted, and wide application prospects and good economic benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of manufacturing pile foundations for transmission lines, and particularly to an intelligent analysis method for the minimum reinforcement area of pile foundations for transmission lines. Background Art

[0002] As an important structure of the power transmission system, the stability and bearing capacity of the pile foundation for transmission lines are directly related to the safety and reliability of the power grid. With the acceleration of urbanization and the growth of power demand, the design and construction of pile foundations for transmission lines become particularly important.

[0003] Traditional calculation methods often rely on manual calculation, making it difficult to fully utilize advanced calculation technologies and data analysis tools. Facing a large amount 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, failing to effectively optimize in combination with the actual load conditions and structural characteristics. This may not only lead to over-design and waste of resources but also pose potential hazards due to insufficient reinforcement. Under complex load conditions, traditional methods often lack systematic theoretical support, especially in the presence of external factors, lacking effective calculation models and tools, resulting in a reduction in the reliability of analysis results. Summary of the Invention

[0004] The present invention provides an intelligent analysis method for the minimum reinforcement area of pile foundations for transmission lines to solve the defects existing in the prior art.

[0005] The present invention provides an intelligent analysis method for the minimum reinforcement area of pile foundations for transmission lines, including: Collect the load data of the transmission line pile and the geometric parameters of the pile foundation of the transmission line, calculate the total load of the transmission line pile according to the load data, and calculate the minimum bearing capacity of the normal section of the pile foundation of the transmission line.

[0006] Construct a calculation equation set for the tensile bearing capacity of the normal section of the eccentrically tensioned member with a circular section according to the minimum bearing capacity, optimize the value range of the reinforcement area by the golden section method according to the geometric parameters, and solve the calculation equation set for the tensile bearing capacity of the normal section by the Newton iteration method to obtain the minimum reinforcement area of the pile foundation of the transmission line.

[0007] According to the intelligent analysis method for the minimum reinforcement area of pile foundations for transmission lines provided by the present invention, the load data includes self-weight load, wire load, wind load, construction load, and other loads.

[0008] An intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line. The self-weight load represents the mass of the upper structure 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 the horizontal tension of the wire tension of the transmission line pile in the vertical and horizontal directions. The wind load represents the vertical load and the tension in the horizontal direction 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. Other loads represent the frozen mass and snow mass applied to the upper structure of the transmission line pile due to special weather.

[0009] An intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line. The process of obtaining the wire load includes: Collect the mass data of the wires connecting the two ends of the transmission line pile and the angle data between the two ends of the wires and the horizontal plane.

[0010] Calculate the tension data of the wires at both ends of the transmission line pile according to the mass data.

[0011] Calculate the vertical load and horizontal tension exerted on the transmission line pile by the wires at both ends of the transmission line pile according to the tension data and the angle data with the horizontal plane.

[0012] Summarize the vertical load and horizontal tension exerted on the transmission line pile by the wires at both ends to obtain the vertical load and horizontal tension of the wire tension of the transmission line pile in the vertical and horizontal directions.

[0013] An intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line. The process of obtaining the wind load includes: Collect the wind force data and wind direction data at the location of the transmission line pile.

[0014] Obtain the windward area of the upper structure of the transmission line pile according to the upper structure of the transmission line pile and the wind direction data.

[0015] Obtain the wind load of the transmission line pile according to the windward area and the wind force data.

[0016] Calculate the vertical and horizontal components of the wind load according to the wind direction data to obtain the vertical load and horizontal tension generated by the transmission line pile under the action of wind.

[0017] An intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line. The minimum bearing capacity of the normal section of the pile foundation of the transmission line includes eccentric compression and eccentric tension.

[0018] According to an intelligent analysis method for the minimum reinforcement area of a transmission line pile foundation provided by the present invention, the eccentric compressive force includes self-weight load, construction load, other loads, the load of the wire tension in the vertical direction, and the load of the wind force in the vertical direction. The eccentric tensile force includes the horizontal tension of the wire tension in the horizontal direction and the horizontal tension of the wind force in the horizontal direction.

[0019] According to an intelligent analysis method for the minimum reinforcement area of a transmission line pile foundation provided by the present invention, the geometric parameters include the diameter of the transmission line pile foundation, the cross-sectional area of all longitudinal reinforcements, the radius of the circumference where the centroid of the longitudinal reinforcements is located, and the eccentricity of the axial pressure with respect to the section centroid.

[0020] According to an intelligent analysis method for the minimum reinforcement area of a transmission line pile foundation provided by the present invention, the process of optimization using the golden section method includes: Set the initial limit values according to historical data. The initial limit values include the initial upper limit value and the initial lower limit value, which form the search space.

[0021] According to the range of the search space, calculate two division points using the golden section ratio. The division points represent a set of values of the reinforcement area.

[0022] Compare the function values of the two division points. The function value represents the difference between the bearing capacity corresponding to the reinforcement area represented by the division point and the minimum bearing capacity.

[0023] Take the division point with the minimum function value and the initial limit value closest to this division point as the upper and lower limit values to generate a new search space. Determine whether the new search space meets the preset ideal range. If so, output the ideal range; otherwise, recalculate two division points using the golden section ratio within the new search space, and compare the function values of the two new division points to obtain a search space with a reduced range.

[0024] According to an intelligent analysis method for the minimum reinforcement area of a transmission line pile foundation provided by the present invention, the process of solving the calculation equations for the tensile bearing capacity of the normal section using the Newton iteration method includes: Take 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 as the value of the objective function.

[0025] Solve the derivative of the function of the bearing capacity with respect to the reinforcement area within the ideal range of the reinforcement area of the transmission line pile foundation.

[0026] Use the Newton iteration method to update the reinforcement area according to the value of the objective function and the value of the function derivative.

[0027] Determine whether the difference between the new reinforcement area and the current reinforcement area reaches the preset threshold. If so, output the new reinforcement area to obtain the minimum reinforcement area of the transmission line pile foundation.

[0028] An intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line provided by the present invention can obtain load information including self-weight load, wire load, wind load, construction load, and other special conditions in real time by collecting the load data and geometric parameters of the transmission line piles. Comprehensive load data analysis enables designers to accurately grasp the true working state borne by the pile foundation, enhancing 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 stage, realizing the dynamic monitoring of the pile foundation. By using the calculation equations for the tensile bearing capacity of the normal section of a circular-section eccentrically tensioned member and establishing a scientific calculation model, it supports accurate bearing capacity analysis, thereby effectively improving the accuracy of the calculation. At the same time, through the comprehensive analysis of eccentric compression and eccentric tension, considering the influence of various loads on the pile structure, its safety under various extreme conditions is ensured. The golden section method and the Newton iteration method are used to optimize the reinforcement area, reflecting the scientific nature and high efficiency of the calculation process. The golden section method gradually narrows the range of the optimal solution through a reasonable division ratio, ensuring the high efficiency during the search process, while the Newton iteration method corrects the reinforcement area in real time to ensure the accuracy of the final result. It not only shortens the design cycle but also accelerates the formulation of the construction plan. By realizing the effective calculation of the minimum reinforcement area through intelligent analysis, it can significantly improve the rationality of the design, avoid unnecessary resource waste caused by over-design, and at the same time reduce the safety risks caused by insufficient reinforcement. The method of combining scientific research with engineering practice helps to maximize economic benefits on the premise of ensuring structural safety, bringing a higher return on investment for engineering projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0030] Figure 1 It is a schematic flowchart of an intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line provided by an embodiment of the present invention; Figure 2 It is a schematic flowchart of the process of optimizing the value range of the reinforcement area using the golden section method in an embodiment of the present invention; Figure 3 It is a schematic flowchart of the process of solving the calculation equations for the tensile bearing capacity of the normal section using the Newton iteration method in this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] To make the objectives, technical solutions and advantages of the present invention more clear, the following will, with reference to the accompanying drawings in the present invention, clearly and completely describe the technical solutions in the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the protection scope of the present invention.

[0032] The following combines Figures 1 - 3 to describe an intelligent analysis method for the minimum reinforcement area of a transmission line pile foundation of the present invention.

[0033] Figure 1 is a structural schematic diagram of an intelligent analysis method for the minimum reinforcement area of a transmission line pile foundation provided by an embodiment of the present invention.

[0034] As Figure 1 shown, an intelligent analysis method for the minimum reinforcement area of a transmission line pile foundation provided by an embodiment of the present invention includes: Collect the load data of the transmission line pile and the geometric parameters of the transmission line pile foundation, calculate the total load of the transmission line pile according to the load data, and calculate the minimum bearing capacity of the normal section of the transmission line pile foundation.

[0035] The load data includes self-weight load, wire load, wind load, construction load and other loads.

[0036] The self-weight load represents the mass of the upper structure of the transmission line pile, including the mass of the tower and the mass of the equipment. The wire load represents the load in the vertical direction and the horizontal tension in the horizontal direction of the wire tension of the transmission line pile. The wind load represents the load in the vertical direction and the tension in the horizontal direction 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 load represents the frozen mass and snow mass applied to the upper structure of the transmission line pile due to special weather.

[0037] The load data acquisition system of the transmission line pile consists of a sensor network, a data transmission module, and a central processing unit. Strain type load cells are installed at the key nodes of the tower to measure the static mass of the tower and equipment; the distributed fiber optic sensors are used to monitor the dynamic mass changes during the equipment installation process in real time. Tension sensors are arranged at the wire connection points, and the dipmeter is used to obtain the spatial attitude parameters of the wire in real time, including the angle between the wire and the horizontal plane. A three-axis anemometer is installed on the windward side of the tower to record the wind speed data at different heights, and the wind vane is used to monitor the wind direction change synchronously; earth pressure cells are arranged around the pile foundation to monitor the foundation deformation. Load cells are installed on the temporary support structure to record the temporary mass of the machinery and materials during the construction process, and the sampling frequency needs to meet the requirements of capturing dynamic loads. Integrated ice and rain sensors are used to monitor the ice thickness and snowfall, temperature and humidity sensors are used to record the environmental conditions, and heating devices are configured to prevent the sensors from failing due to icing.

[0038] Outliers beyond the sensor range are removed, and high-frequency noise interference is eliminated through filtering techniques. A unified timestamp alignment mechanism is established to ensure that the time error between the data of different sensors is less than 10 milliseconds. Verify whether the relationship between the wire tension and the dip angle conforms to physical laws. For example, the wire tension should decrease as the dip angle increases, and data with obvious contradictions need to be excluded.

[0039] The self-weight load includes the mass of the tower and equipment, which is directly obtained through the load cells, and the weights of all the upper structures need to be accumulated.

[0040] The construction load includes the mass of the temporary construction machinery and materials, which is directly recorded, and the concentrated load on the pile foundation is calculated according to the acting position.

[0041] The special loads include the ice and snow loads, which are calculated based on the local meteorological data. For example, the ice mass can be calculated through the ice layer thickness and the wire surface area, and the snow mass is estimated according to the snowfall and duration.

[0042] The process of obtaining the wind load includes: Collect the wind force data and wind direction data at the location of the transmission line pile. According to the measured wind speed and wind direction, combined with the air density and drag coefficient, calculate the wind pressure on the surface of the pile foundation.

[0043] Based on the upper structure of the transmission line pile and the wind direction data, obtain the windward area of the upper structure of the transmission line pile. By simulating the air flow distribution around the pile, determine the wind pressure values at different positions.

[0044] Based on the windward area and the wind force data, obtain the wind load of the transmission line pile.

[0045] According to the wind direction data, calculate the vertical and horizontal components of the wind load to obtain the vertical load and horizontal tension generated by the transmission line pile under the action of 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.

[0046] The process of obtaining the wire load includes: Collect the mass data of the wires connecting the two ends of the transmission line pile and the angle data between the two ends of the wires and the horizontal plane.

[0047] Calculate the tension data of the wires at both ends of the transmission line pile according to the mass data. According to the mass data and angle data at both ends of the wire, calculate the tension of the wire in the static state. When the mass distribution of the wire is known, the initial tension value is derived through the action of gravity and the inclination angle. Considering the influence of wind speed on the wire tension, the dynamic tension will increase with the increase of wind speed. Adjust the static tension through the wind speed correction coefficient to obtain the actual dynamic tension.

[0048] According to the tension data and the angle data with the horizontal plane, calculate the vertical load and horizontal tension exerted on the transmission line pile by the wires at both ends of the transmission line pile.

[0049] Sum up the vertical load and horizontal tension exerted on the transmission line pile by the wires at both ends to obtain the vertical load and horizontal tension of the wire tension of the transmission line pile in the vertical and horizontal directions. 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, and the horizontal tension is the tension multiplied by the sine of the angle. The wire loads at both ends need to be calculated separately and then summed up to obtain the total vertical load and total horizontal tension.

[0050] The minimum bearing capacity of the normal section of the transmission line pile foundation includes eccentric compression and eccentric tension.

[0051] The eccentric compression includes self-weight load, construction load, other loads, the vertical load of the wire tension in the vertical direction, and the vertical load under the action of wind. The eccentric tension includes the horizontal tension of the wire tension in the horizontal direction and the horizontal tension under the action of wind.

[0052] 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 centroid of the longitudinal steel bars is located, and the eccentricity of the axial pressure to the centroid of the section.

[0053] Eccentric compression means that the load acting on the pile foundation exceeds its centroid position, resulting in the pile foundation being under pressure and possibly in a state of inclination or bending. Eccentric tension is another important factor affecting the bearing capacity of the pile foundation, mainly involving the horizontal tension caused by external factors.

[0054] According to the minimum bearing capacity, establish the calculation equations for the tensile bearing capacity of the normal section of a circular-section eccentrically tensioned member. Based on the geometric parameters, use the golden section method to optimize the value range of the reinforcement area, and use the Newton iteration method to solve the calculation equations for the tensile bearing capacity of the normal section to obtain the minimum reinforcement area of the transmission line pile foundation.

[0055] Figure 2 It is a flow chart showing the process of optimizing the value range of the reinforcement area using the golden section method in an embodiment of the present invention.

[0056] As Figure 2 shown, the process of optimization using the golden section method includes: Set the initial limit values according to historical data. The initial limit values include the initial upper limit value and the initial lower limit value, which constitute the search space.

[0057] Through the statistical analysis of historical data and previous projects, reasonably determine the initial range. This range constitutes the search space and provides the basis for subsequent searches.

[0058] The initial upper limit value refers to the maximum reinforcement area acceptable in the design, usually based on empirical rules and code requirements, while the initial lower limit value is the minimum requirement to ensure the safety of the structure under the minimum load condition. These two values are used to delimit a one-dimensional range representing the possible reinforcement design space.

[0059] After obtaining the initial limit values, the next step is to construct a more refined search space. According to the set initial upper limit value and initial lower limit value, the range of the search space can be calculated. This range serves as the feasible region for the optimization problem.

[0060] According to the range of the search space, calculate two dividing points using the golden section ratio. The dividing points represent a set of values of the reinforcement area.

[0061] Within the range of the search space, use the golden section method to divide the space. The golden section method is an effective optimization technique that can divide the current search space into two parts by a specific ratio to facilitate finding the optimal solution. Specifically, through the golden section ratio, we can calculate two dividing points, which are located at different positions in the current search space. Each dividing point represents a set of possible reinforcement areas.

[0062] Calculate the function values at each dividing point. The function values to be compared are the difference between the bearing capacity corresponding to the reinforcement area and the minimum bearing capacity. The bearing capacity is the core index of the foundation design, and ensuring that it is greater than or equal to the minimum bearing capacity is crucial for the safety of the structure.

[0063] Generate a new search space using the splitting point with the minimum function value and the initial limit value closest to this splitting point as the upper and lower limit values, and determine whether the new search space meets the preset ideal range. If it does, output the ideal range; otherwise, recalculate the two splitting points within the new search space using the golden ratio, and compare the function values of the two new splitting points to obtain a search space with a narrowed range.

[0064] By comparing the function values of the two splitting points, it is possible to determine which splitting point is closer to the ideal bearing capacity. In this process, select the splitting point with the minimum function value, which represents a new reinforcement area at this time, and record the initial limit value closest to this splitting point. These will jointly form the upper and lower limit values of the new search space.

[0065] Once a new search space is generated, it is necessary to determine whether this new range meets the preset ideal range. If it does, then this reinforcement area is the result we expect, and further output is performed; if it does not, then it is necessary to continue to refine the splitting within the new search space.

[0066] To this end, continue to use the golden section method to recalculate the two new splitting points, and compare the function values of these two new points again to obtain a smaller search space to continue converging to the optimal solution.

[0067] Figure 3 It is a schematic flow chart of using the Newton iteration method to solve the calculation equations for the flexural tensile bearing capacity in this embodiment.

[0068] As Figure 3 shown, the process of using the Newton iteration method to solve the calculation equations for the flexural tensile bearing capacity includes: When the search finally shrinks to the ideal range, use the Newton iteration method to perform a more accurate calculation on the selected reinforcement area. The Newton iteration method is a numerical method that can effectively find the root of a function through continuous linear approximation.

[0069] Take 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 as the value of the objective function. This objective function describes the effectiveness of the current reinforcement scheme, and ideally its value should be close to zero.

[0070] Solve the derivative of the function of the bearing capacity with respect to the reinforcement area within the ideal range of the reinforcement area of the transmission line pile foundation. The derivative represents the sensitivity of the objective function to the reinforcement area and can indicate how to adjust the reinforcement area to obtain a better bearing capacity. Therefore, accurately solving the derivative of the function of the bearing capacity with respect to the reinforcement area is crucial.

[0071] Using the Newton-Raphson method, the reinforcement area is updated based on the value of the objective function and the value of the function derivative. Based on the current value and derivative value of the objective function, the reinforcement area can be updated through a simple iterative formula. The update step involves using the result of the previous iteration and the update formula to calculate the new reinforcement area value.

[0072] Judge whether the difference between the new reinforcement area and the current reinforcement area reaches the preset threshold. If so, output the new reinforcement area to obtain the minimum reinforcement area of the transmission line pile foundation.

[0073] The preset threshold is set based on experience to ensure the full convergence of the optimization process. If the difference is less than the preset threshold, it means that the new reinforcement area is close enough to the ideal state. At this time, output the new reinforcement area as the final result. The output new reinforcement area, after a series of calculations and process optimizations, represents the minimum requirement of the transmission line pile foundation in terms of bearing capacity, ensuring compliance with engineering specifications and safety standards, and will be used as reference data for subsequent design and construction.

[0074] To ensure the rationality of the new reinforcement area, further verification can be carried out. By performing a sensitivity analysis on the relationship between the reinforcement area and the bearing capacity, it is possible to understand the performance and stability of the reinforcement scheme under different load conditions and structural parameter changes, and to understand how parameter variations within a certain range affect the safety and stability of the pile foundation, so as to make necessary adjustments.

[0075] In the sensitivity analysis, several scenarios can be generated for simulation to observe how the reinforcement area behaves under various loads. This helps to identify the most dangerous load conditions to ensure the robustness of the design.

[0076] 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 early search space and the application of the golden section method, adjust the initial limit value, and reset the search space.

[0077] Allows multiple factors to be considered at the initial stage of the design, so as to better adapt to different load conditions and environmental pressures during the subsequent design process. In addition, the design optimization is not limited to improving the bearing capacity. The selection of the reinforcement area also needs to consider cost-effectiveness and construction operability, avoiding the economic burden caused by increasing the amount of reinforcement. Therefore, the design must find a reasonable balance among safety, economy, and construction feasibility.

[0078] After completing the calculation and optimization process, the obtained results can be popularized and applied in actual projects. By summarizing the intelligent optimization technology for the reinforcement area of the transmission line pile foundation, this method can be adopted in future similar engineering designs.

[0079] After implementation, the optimized process can be integrated into engineering design software, enabling automatic calculation of the minimum required reinforcement area at the initial design stage, reducing human calculation errors, and improving design efficiency. Meanwhile, these calculation models can be continuously optimized to adapt to the use of new materials, new technologies, and new construction methods.

[0080] By using historical data to set initial limit values, the golden section method to refine the search space, and the Newton iteration method for accurate solution, an efficient and intelligent calculation and optimization process for the minimum reinforcement area of transmission line pile foundations is formed.

[0081] It not only provides a solution to the problem but also offers new ideas and a basis for the scientificization of design specifications in the power industry. With the progress of technology, the application of intelligent algorithms will become more and more extensive in the design and evaluation of transmission line pile foundations in the future, greatly promoting the efficiency and safety of engineering design. It fully demonstrates the application potential of advanced computing technologies in engineering practice, promotes technological innovation in the field of civil engineering, and provides a theoretical basis and practical guidance for achieving safer, more economical, and efficient infrastructure construction.

[0082] 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 transmission line piles, this solution can obtain load information in real time, including self-weight load, wire load, wind load, construction load, and other special conditions. Comprehensive load data analysis enables designers to accurately grasp the actual working state borne by the pile foundation, enhancing 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 stage, realizing dynamic monitoring of the pile foundation. Using the calculation equations for the tensile bearing capacity of the normal section of circular-section eccentrically tensioned members, by establishing a scientific calculation model, it supports accurate bearing capacity analysis, thus effectively improving the calculation accuracy. At the same time, through the comprehensive analysis of eccentric compression and eccentric tension, considering the influence of various loads on the pile structure, its safety under various extreme conditions is ensured. The golden section method and the Newton iteration method are used to optimize the reinforcement area, reflecting the scientificity and efficiency of the calculation process. The golden section method gradually narrows the range of the optimal solution through a reasonable division ratio, ensuring the efficiency during the search process, while the Newton iteration method corrects the reinforcement area in real time to ensure the accuracy of the final result. It not only shortens the design cycle but also accelerates the formulation of the construction plan. By effectively calculating the minimum reinforcement area through intelligent analysis, it can significantly improve the rationality of the design, avoid unnecessary resource waste caused by over-design, and at the same time reduce the safety risks caused by insufficient reinforcement. The method of combining scientific research with engineering practice helps to maximize economic benefits on the premise of ensuring structural safety, bringing a higher return on investment for engineering projects.

[0083] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0084] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part 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, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent analysis method for the minimum reinforcement area of transmission line pile foundations, characterized in that Including: Collecting the load data of the transmission line pile and the geometric parameters of the transmission line pile foundation, calculating the total load of the transmission line pile according to the load data, and calculating the minimum bearing capacity of the normal section of the transmission line pile foundation; Constructing a calculation system of the tensile bearing capacity of the normal section of the circular section eccentric tension member according to the minimum bearing capacity, optimizing the value range of the reinforcement area by the golden section method according to the geometric parameters, and solving the calculation system of the tensile bearing capacity of the normal section by the Newton iteration method to obtain the minimum reinforcement area of the transmission line pile foundation.

2. The intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line according to claim 1, wherein, The load data includes self-weight load, wire load, wind load, construction load and other loads.

3. The intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line according to claim 2, characterized in that The self-weight load represents the mass of the upper structure 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 the horizontal tension of the wire tension of the transmission line pile in the horizontal direction; the wind load represents the vertical load and the 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 load represents the frozen mass and snow mass applied to the upper structure of the transmission line pile due to special weather.

4. The intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line according to claim 3, characterized in that The process of obtaining the wire load includes: Collecting the mass data of the wires connecting the two ends of the transmission line pile and the angle data between the two ends of the wires and the horizontal plane; Calculating the tension data of the wires at both ends of the transmission line pile according to the mass data; Calculating the vertical load and horizontal tension applied to the transmission line pile by the wires at both ends of the transmission line pile according to the tension data and the angle data with the horizontal plane; Summarizing the vertical load and horizontal tension applied to the wires at both ends of the transmission line pile to obtain the vertical load and horizontal tension of the wire tension of the transmission line pile in the horizontal direction.

5. An intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line according to claim 3, characterized in that, The process of obtaining the wind load includes: Collecting the wind force data and wind direction data at the location of the transmission line pile; Obtaining the windward area of the upper structure of the transmission line pile according to the upper structure of the transmission line pile combined with the wind direction data; Obtaining the wind load of the transmission line pile according to the windward area and the wind force data; Calculating the components of the wind load in the vertical and horizontal directions according to the wind direction data to obtain the vertical load and horizontal tension generated by the transmission line pile under the action of wind.

6. The intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line according to claim 1, characterized in that, The minimum bearing capacity of the normal section of the transmission line pile foundation includes eccentric compressive force and eccentric tensile force.

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

8. An intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line 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 reinforcements, the radius of the circle where the centroid of the longitudinal reinforcements is located, and the eccentricity of the axial pressure to the section centroid.

9. The intelligent analysis method for the minimum reinforcement area of the pile foundation of a transmission line according to claim 1, characterized in that, The process of optimization by the golden section method includes: Setting the initial limit values according to the historical data, and the initial limit values include the initial upper limit value and the initial lower limit value, forming a search space; According to the range of the search space, two division points are calculated using the golden ratio, and the division points represent the values of a set of reinforcement areas. Compare the function values of the two division points. The function value represents the difference between the bearing capacity corresponding to the reinforcement area represented by the division point and the minimum bearing capacity. Use the division point with the smallest function value and the initial limit value closest to this division point as the upper and lower limit values to generate a new search space. Determine whether the new search space meets the preset ideal range. If so, output the ideal range; otherwise, recalculate two division points using the golden ratio within the new search space, compare the function values of the two new division points, and obtain a search space with a narrowed range.

10. The intelligent analysis method for the minimum reinforcement area of the transmission line pile foundation according to claim 9, characterized in that, The process of solving the calculation equations for the flexural tensile bearing capacity using the Newton-Raphson method includes: Take 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 as the value of the objective function. Solve the derivative of the function 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 the Newton-Raphson method to update the reinforcement area according to the value of the objective function and the value of the function derivative. Determine whether the difference between the new reinforcement area and the current reinforcement area reaches a preset threshold. If so, output the new reinforcement area to obtain the minimum reinforcement area of the transmission line pile foundation.

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