Simulation Method for Composite Material Communication Tower Shape Parameters Based on Simulation Model

Abstract

This invention discloses a simulation method for the shape parameters of composite communication towers based on simulation models, belonging to the field of composite communication tower simulation technology. The method includes the following components: S1, basic information collection and preprocessing steps for the construction site; S2, composite material performance testing and parameter determination steps; S3, construction of a three-dimensional solid simulation model of the composite communication tower; S4, preliminary determination of tower shape parameters, simulation calculation, and threshold setting steps; and S5, simulation result evaluation, tower shape parameter optimization, and report output steps. This invention, by adopting advanced composite materials such as high-strength glass fiber and developing advanced composite material molding processes, aims to increase the elastic modulus of composite materials by 40% while further reducing the tower weight by 20%. This lightweight design allows composite communication towers to be transported by drones in mountainous areas and other areas with inconvenient transportation, significantly shortening transportation time, reducing transportation costs, and enabling rapid construction of communication towers.

Description

Technical Field

[0001] This invention relates to the field of composite material communication tower simulation technology, specifically to a method for simulating the shape parameters of composite material communication towers based on simulation models. Background Technology

[0002] With the rapid development of communication technology, especially in complex terrain areas such as mountainous regions, the demand for efficient, reliable and easy-to-deploy communication infrastructure is growing. Traditional communication towers mostly use steel structure materials, which have high strength, but face problems such as transportation difficulties, long installation cycles and high maintenance costs in mountainous environments. Especially in mountainous areas with inconvenient transportation and complex terrain, it is difficult for large hoisting equipment to enter the site, resulting in low installation efficiency of traditional steel towers and difficulty in meeting the needs of rapid site construction.

[0003] Traditional steel tower mast structures have significant shortcomings in mountainous applications. First, the weight of steel towers places high demands on transportation vehicles and hoisting equipment. Poor road conditions in mountainous areas make it difficult for large transport vehicles and cranes to reach designated locations, resulting in high transportation costs and low efficiency. Second, the installation process of steel towers is complex, requiring a large amount of manpower and long working hours, increasing construction difficulty and time. In addition, steel towers are prone to corrosion in the humid and foggy mountain environment, requiring regular anti-corrosion maintenance, further increasing operating costs. Although some existing improvement technologies attempt to reduce weight or improve corrosion resistance by optimizing the steel tower structure design, these improvements have not fundamentally solved the transportation and installation problems in mountainous areas, nor have they significantly reduced maintenance costs.

[0004] Given the limitations of traditional steel tower masts in mountainous applications, it is particularly important to develop a simulation method for composite material communication tower shape parameters based on simulation models. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a simulation method for composite material communication tower shape parameters based on simulation models. By using high-strength, lightweight composite materials and combining advanced simulation technology, it achieves optimized design of the communication tower structure. This method not only significantly reduces the weight of the tower, facilitating UAV lifting and rapid installation, but also accurately predicts the tower's performance under different environmental conditions through simulation models, ensuring the safety and reliability of the structure. At the same time, by combining a multi-factor accelerated corrosion testing algorithm for mountainous environments, it further improves the tower's corrosion resistance, extends its service life, and reduces maintenance costs.

[0006] To solve the above-mentioned technical problems, this invention provides the following technical solution: a simulation method for the shape parameters of composite material communication towers based on simulation models, the specific steps of which are as follows:

[0007] S1. Basic information collection and preprocessing steps for the construction site: Collect and preprocess basic information of the communication tower construction site. The basic information includes geographical location, topography, meteorological data, geological data and antenna deployment requirements. Preprocessing includes removing abnormal data and standardizing the data according to a specific algorithm. The standardization algorithm is used to correct the impact of mountainous terrain on meteorological data.

[0008] S2. Composite material performance testing and parameter determination steps: Select composite material samples for mechanical and corrosion resistance tests, determine the tensile strength, flexural strength, elastic modulus, Poisson's ratio and corrosion resistance coefficient of the composite material, and use them as material input parameters for the simulation model. The corrosion resistance coefficient is determined by a calculation algorithm that integrates multiple factors of the mountainous environment.

[0009] S3. Steps for constructing a three-dimensional solid simulation model of a composite material communication tower: Construct a three-dimensional solid model of a composite material communication tower based on finite element analysis software, define material properties, tower base constraints and external loads. The external loads include wind loads and vertical loads. The tower base constraints are determined using an elastic support stiffness calculation algorithm based on mountain geological parameters to simulate the actual interaction between the tower base and the soil.

[0010] S4. Preliminary determination of tower shape parameters, simulation calculation and threshold setting steps: Preliminarily determine the tower shape parameters of the communication tower, perform simulation calculation based on the simulation model, output the maximum stress value and maximum horizontal displacement value of the tower body, and set the stress threshold and displacement threshold. The stress threshold is determined by a dynamic adjustment algorithm based on the composite material usage environment and tower section position, and the displacement threshold is determined by a correction algorithm combined with the antenna installation accuracy requirements.

[0011] S5. Simulation Result Evaluation, Tower Parameter Optimization, and Report Output Steps: Compare the simulation calculation results with the thresholds. If the requirements are met, determine the optimal tower parameters and output a simulation report. If not, adjust the tower parameters and resimulate. The parameter adjustment uses a weighted optimization algorithm based on stress-displacement dual objectives. If multiple adjustments still do not meet the requirements, re-evaluate the mechanical properties of the composite material. The evaluation uses a material strength requirement algorithm derived from the simulation results. The simulation report output uses a scoring algorithm based on data integrity to ensure that the report contains key information required for production and installation.

[0012] Furthermore, in step 1, the standardization transformation of meteorological data employs a wind speed-wind pressure conversion algorithm based on mountainous terrain correction. This algorithm is optimized to address the wind speed unevenness caused by the undulating terrain in mountainous areas. The specific formula is as follows: ,in The actual standard value of wind load at the construction site. The basic wind pressure at a height of 10m is calculated from the maximum annual wind speed at the construction site. This is a terrain correction factor, ranging from 0.8 to 1.5, depending on the slope of the construction site. Sure, This is the altitude correction factor. This refers to the actual height of the communication tower. This algorithm uses the sine value of the terrain slope of the construction site as a reference. Compared with the traditional conversion method that only considers the altitude, it adds a correction for the influence of terrain slope on wind load. It can more accurately reflect the actual wind load under complex mountainous terrain, avoid the redundancy or insufficiency of tower parameters due to wind load calculation deviation, provide accurate data support for the load loading of subsequent simulation models, and ensure the scientific and practical nature of meteorological data preprocessing.

[0013] Furthermore, in step 2, the determination of the corrosion resistance coefficient of the composite material adopts an accelerated corrosion test algorithm based on mountainous environmental factors, and the specific formula is as follows: ,in The corrosion resistance coefficient of the composite material ranges from 0.85 to 1.0. Design lifespan for communication towers The average annual relative humidity of the construction site was calculated using daily average humidity data from meteorological stations in the surrounding area over the past 10 years. This represents the average annual temperature fluctuation of the construction site, specifically the difference between the average annual maximum and minimum temperatures. The environmental corrosion level coefficient of the construction site is used when there is no industrial pollution in the mountainous rural area. When near lightly polluted areas such as landfills and mining areas This coefficient was determined by collecting soil and air samples from the surrounding construction site, detecting pollutant concentrations, and comparing them with standards. During testing, composite material samples were placed in an accelerated corrosion test chamber simulating the construction site environment, and subjected to an accelerated corrosion test for 180 days at the corrosion rate calculated according to the above formula. The mechanical property degradation of the samples was periodically monitored to verify and correct the corrosion resistance coefficient. This algorithm is the first to integrate three key factors—humidity, temperature fluctuation, and environmental corrosion level in mountainous areas—into a corrosion resistance coefficient calculation model. Compared with the traditional method that only uses a single humidity or temperature test, it can more comprehensively reflect the impact of the multi-factor coupled corrosion environment in mountainous areas on the performance of composite materials, ensuring that the mechanical parameters of the materials meet the long-term use requirements in mountainous areas, and avoiding the shortening of the tower's service life or the increase in maintenance costs due to inaccurate corrosion resistance performance assessment.

[0014] Furthermore, in step 3, the definition of the tower base constraint adopts an elastic support stiffness calculation algorithm based on mountain geological parameters, and the specific formula is as follows: ,in This represents the elastic support stiffness of the tower base, used to simulate the interaction between the tower base and the soil in the finite element model. The elastic modulus of the soil at the construction site was determined through a shallow plate load test. A circular bearing plate with a diameter of 300 mm was used, and the load was applied in stages until the soil showed obvious plastic deformation. The result was calculated based on the load-settlement curve. The initial value for the tower foundation diameter is 1.5 times the diameter of the tower's base. If the tower's base diameter is 0.3m, the initial foundation diameter is 0.45m. The depth of the tower foundation is determined based on the thickness of the permafrost layer at the construction site. To determine the geological homogeneity coefficient, soil samples were obtained from three different locations at the construction site through drilling. The elastic modulus of each sample was tested, and the ratio of the standard deviation to the mean was calculated. When the ratio... hour, ,when, When the ratio > 0.2, This coefficient is used to correct for the influence of soil heterogeneity on the foundation constraint stiffness. The calculated... The input finite element model, replacing the traditional fixed constraint setting, can more realistically simulate the supporting effect of mountain soil on the tower base, avoid deviations in tower displacement calculation results caused by oversimplification of constraint conditions, ensure that the constraint conditions of the simulation model are consistent with the actual geological conditions of the mountainous area, improve the accuracy of simulation calculation results, and provide a reliable model basis for subsequent tower shape parameter design.

[0015] Furthermore, in step 4, the stress threshold setting employs a dynamic adjustment algorithm based on the composite material's operating environment and the tower section's location. The specific formula is as follows: ,in The dynamic stress threshold. For the tensile strength of composite materials, For corrosion resistance coefficient, This is the tower segment position coefficient, determined based on the tower segment's height position within the overall tower structure. To utilize the environmental safety factor, this algorithm breaks away from the traditional method of setting a uniform stress threshold. It dynamically adjusts the threshold based on the differences in stress on tower sections and environmental safety requirements. This ensures the structural safety of critical parts of the tower while avoiding material waste caused by overly conservative parameter design in non-critical parts. It ensures the rationality and relevance of the threshold setting and provides a scientific standard for judging subsequent simulation results.

[0016] Furthermore, the displacement threshold setting in step 4 employs a correction algorithm based on antenna installation accuracy requirements, specifically the following formula: ,in This is the corrected maximum horizontal displacement threshold. This refers to the actual height of the communication tower. The number of antenna installation layers is determined based on the antenna deployment requirements in step 1. When the number of antenna installation layers is 1, When there are 2 floors, When there are 3 floors or more, As the number of antenna layers increases, higher installation accuracy is required to avoid signal interference. Therefore, the design requirements are improved by reducing the displacement threshold. This algorithm associates antenna installation parameters with the displacement threshold, solving the problem that traditional thresholds only consider tower height and ignore antenna usage requirements. It ensures that the set displacement threshold not only meets the safety of the tower structure but also guarantees the quality of communication signals, avoiding antenna signal deviation and reduced communication coverage due to excessive displacement, thus ensuring the functionality and practicality of communication towers in mountainous areas.

[0017] Furthermore, the adjustment of the tower shape parameters in step 5 employs a weighted optimization algorithm based on a dual-objective stress-displacement model, with the specific formula as follows: ,in This is the adjustment amount for the tower section wall thickness. For the preliminary design of the tower section wall thickness, To calculate the maximum stress value of the tower body in the simulation, The stress threshold, This represents the maximum horizontal displacement value calculated in the simulation. Displacement threshold This is the stress weighting coefficient, with a value of 0.6. Because exceeding stress limits directly affects the structural safety of the tower, its weight is higher than that of displacement. The displacement weighting coefficient is set to 0.4. The weighting ratio is determined by statistical analysis of accident cases involving communication towers in mountainous areas. This algorithm quantifies the degree of stress and displacement exceeding limits to provide precise wall thickness adjustment, avoiding repeated trial and error caused by traditional empirical adjustments, thus improving the efficiency of parameter optimization. At the same time, the weighting allocation ensures that key issues affecting structural safety are addressed first, ensuring the scientific and efficient adjustment of tower shape parameters, reducing the time cost of parameter optimization, and accelerating the design process of communication towers in mountainous areas.

[0018] Furthermore, the reassessment of composite material performance in step 5 requires determining material strength requirements by combining mountain transportation limitations with simulation results. The specific process is as follows: First, determine the maximum stress value of the tower body obtained from simulation calculations under the current composite material, as well as the preliminary design wall thickness of the current tower segment; second, based on the weight limitations of drone lifting in mountainous areas, calculate the maximum feasible wall thickness of the current tower segment using the composite material density of 1.8 g / cm³. This wall thickness is the maximum thickness that the tower segment can achieve under transportation conditions; then, call upon the corrosion resistance coefficient of the current composite material; finally, through the correlation calculation of the current maximum stress value, maximum feasible wall thickness, preliminary design wall thickness, and corrosion resistance coefficient, deduce the minimum tensile strength of the composite material that meets the tower stress threshold requirements. This strength value is the target value for subsequent composite material selection or process optimization. When the tensile strength of the current composite material cannot meet the requirements, it is necessary to replace it with a composite material whose tensile strength is not lower than the deduce result, ensuring that the adjusted material performance can both adapt to the tower shape parameter design and meet the mountain transportation and installation conditions, avoiding cost waste or infeasibility caused by blindly replacing materials.

[0019] Furthermore, the output of the simulation report in step 5 must meet the data integrity standard, with the following specific requirements: First, the key basic information items that the report must include are clearly defined, including the latitude and longitude of the construction site, altitude, average annual wind speed, soil elastic modulus, and antenna weight, totaling 5 items. Each missing item must be supplemented. Second, the simulation process data items that must be included are clearly defined, including the material mechanical parameter test report number, finite element mesh size, load calculation process screenshots, and parameter optimization iteration records, totaling 4 items. Each missing item must also be supplemented. Finally, a report integrity qualification standard is set. The quality of the report is ensured through quantitative assessment of missing items. That is, the absence of key basic information items will directly affect the accuracy of the basic parameters for subsequent production and installation, and the absence of simulation process data items will affect the traceability and reproducibility of the technical solution. Only when all key basic information items and simulation process data items are complete can the simulation report be used as the technical basis for the production, processing, and on-site installation of composite material communication towers, avoiding problems such as construction deviations, installation errors, or difficulties in technical traceability in the construction of base stations in mountainous areas due to data loss.

[0020] Compared with existing technologies, this simulation model-based method for simulating the shape parameters of composite communication towers has the following advantages:

[0021] I. This invention utilizes advanced composite materials such as high-strength glass fiber and develops advanced composite material molding processes. The goal is to increase the elastic modulus of the composite material by 40% while further reducing the weight of the tower by 20%. This lightweight design enables the composite material communication tower to be transported by drone in mountainous and other areas with inconvenient transportation, greatly shortening transportation time, reducing transportation costs, and enabling rapid construction of communication towers. This innovation solves the problems of difficult transportation of traditional steel tower masts in mountainous areas, inability of cranes to enter the site, and long installation cycles, significantly improving construction efficiency.

[0022] Second, by increasing the thickness of the composite material surface layer, this invention significantly enhances the tower's corrosion resistance and wear resistance during secondary handling. Combined with an accelerated corrosion testing algorithm based on multiple factors in mountainous environments, this project can more accurately assess the durability of composite materials in complex mountainous environments, thereby ensuring that the tower can meet long-term use requirements in different application scenarios. This improvement not only extends the service life of the communication tower but also reduces the frequency of maintenance and replacement due to corrosion and wear, thereby reducing maintenance costs and improving overall economic benefits.

[0023] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0025] Figure 1 This is a flowchart illustrating the simulation method for composite material communication tower shape parameters based on a simulation model.

[0026] Figure 2 This is a schematic diagram of the core process of the simulation method for composite material communication tower shape parameters based on simulation model. Detailed Implementation

[0027] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0028] Example 1

[0029] A remote communication base station located in the southwestern mountainous region was chosen as the construction site. This area has significant topographical variations and complex meteorological conditions due to the influence of monsoons. To ensure that the subsequent simulation model accurately reflects the actual environment, comprehensive basic information about the construction site needs to be collected, including meteorological data, topographic data, and geological data from the past 10 years. During the preprocessing of the collected data, outlier data was first removed, such as extreme daily wind speed values ​​caused by meteorological station instrument malfunctions or abnormal low-temperature fluctuations during winter cold waves, to avoid interference with subsequent calculation results. Subsequently, a wind speed-wind pressure conversion algorithm based on mountainous terrain correction was used to standardize the meteorological data. The formula is: ,in The actual standard value of wind load at the construction site. This refers to the basic wind pressure at a height of 10m. This is the terrain correction factor. This is the altitude correction factor. This refers to the actual height of the communication tower. By using the sine value of the slope of the construction site, this algorithm can specifically optimize the uneven wind speed caused by the undulation of mountainous terrain, effectively correct the wind pressure differences at different altitudes and slopes, and make the processed meteorological data more consistent with the actual microenvironment of the communication tower. This provides a reliable basis for the subsequent accurate calculation of external wind loads and ensures that the environmental parameters in the simulation model are highly consistent with the real scene.

[0030] Standard samples were prepared using a specific type of glass fiber reinforced composite material. This material, due to its light weight, high strength, and good corrosion resistance, is suitable for the transportation and long-term use needs of remote mountain base stations. Mechanical and corrosion resistance tests were conducted on the samples. Mechanical property testing involved tensile testing to obtain the tensile strength under axial tension, and bending testing to measure the bending strength under lateral force, the elastic modulus against deformation, and the Poisson's ratio of lateral strain to axial strain. These parameters are the core basis for simulating the material's mechanical behavior in the simulation model and directly affect the accuracy of the tower's stress and deformation calculations. Corrosion resistance testing employed an accelerated corrosion testing algorithm based on mountainous environmental factors, with the following formula: ,in The corrosion resistance coefficient of the composite material. Design lifespan for communication towers The average annual relative humidity of the construction site. The average annual temperature fluctuation value of the construction site. To determine the corrosion resistance coefficient of the construction site environment, the samples were placed in an accelerated corrosion test chamber simulating the environment of the construction site in the southwestern mountainous region. The test chamber accurately simulated the local annual average relative humidity of 65%, annual temperature fluctuation of 12℃, and a moderate level of environmental corrosion for 180 days of accelerated corrosion testing. During this period, the mechanical property degradation of the samples was checked every 30 days. Based on the final test results, the corrosion resistance coefficient of the composite material was determined. This coefficient reflects the degree of performance degradation of the material during long-term use in the mountainous area. It can be used to correct the actual effective strength of the material in the simulation model, avoid the simulation results being biased towards danger due to ignoring the influence of corrosion, and ensure that the final material input parameters are consistent with the characteristics of the material itself and adapted to the corrosive environment of the construction site.

[0031] A three-dimensional solid model of the composite communication tower was constructed using ANSYS finite element analysis software. The software's high-precision calculation capabilities can meet the simulation requirements of complex stress states of the tower. When defining material properties in the model, the tensile strength, flexural strength, elastic modulus, Poisson's ratio, and corrosion resistance coefficient of the composite material were input one by one, enabling the model to accurately reproduce the mechanical and corrosion resistance properties of the material. When defining the tower base constraints, an elastic support stiffness calculation algorithm based on mountainous geological parameters was adopted, with the following formula: ,in For the elastic support stiffness of the tower base, The elastic modulus of the soil at the construction site, The diameter of the tower base. For the depth of the tower base, The geological homogeneity coefficient, combined with the elastic modulus of the soil at the construction site, the diameter of the tower foundation, the burial depth of the tower foundation, and the geological homogeneity coefficient, is used to calculate the elastic support stiffness of the tower foundation. This stiffness value can simulate the actual interaction state between the tower foundation and the soil, which is neither completely fixed nor completely free. This avoids the distortion of the tower foundation stress calculation caused by simple fixed constraints, making the model more consistent with the geological conditions of mountainous areas. When defining external loads, the wind load is determined with reference to the pre-processed local meteorological data, which can accurately reflect the horizontal force of the actual wind conditions on the tower in mountainous areas. The vertical load comprehensively considers the weight of the communication tower itself and the weight of equipment such as antennas and feeders, ensuring that the model can fully simulate the various loads that the tower bears in actual use, providing realistic load conditions for subsequent simulation calculations.

[0032] Based on the communication coverage requirements of this remote base station, the preliminary tower parameters are determined as follows: the tower height is set at 35m, the tower section wall thickness gradually changes from 8mm to 5mm from bottom to top, the tower section diameter gradually changes from 1.2m to 0.8m from bottom to top, and the tower sections are connected by flanges. Simulation calculations are performed based on the constructed simulation model, running the static analysis module of the software to simulate the stress distribution and displacement of the tower body under external loads. The maximum stress value and maximum horizontal displacement value of the tower body are finally output. When setting the threshold, the stress threshold adopts a dynamic adjustment algorithm based on the composite material usage environment and the tower section location. The formula is: ,in The dynamic stress threshold. For the tensile strength of composite materials, For corrosion resistance coefficient, This is the tower segment position coefficient, determined based on the tower segment's height position within the overall tower structure. To utilize the environmental safety factor, a safety factor is determined based on the climate of the mountainous area. A tower segment position coefficient is determined according to the height of different tower segments, thus obtaining a dynamic stress threshold. This threshold can be flexibly adjusted according to the actual stress on the tower segment and environmental conditions, avoiding the overly conservative or dangerous design of some tower segments due to the use of a uniform threshold. The displacement threshold uses a correction algorithm that incorporates antenna installation accuracy requirements; the formula is as follows: ,in This is the corrected maximum horizontal displacement threshold. This refers to the actual height of the communication tower. Based on the actual tower height and the number of antenna installation layers, a corrected maximum horizontal displacement threshold is calculated. This threshold ensures that the antenna's positional deviation is within the allowable range after installation, preventing excessive tower displacement from affecting the quality of the communication signal. It also provides a clear and reasonable standard for evaluating whether the tower's shape parameters are qualified.

[0033] Comparing the simulated maximum stress value of the tower body with the set stress threshold, it was found that the maximum stress value in the lower 2-5m height section of the tower body exceeded the stress threshold by 15%. Although the maximum horizontal displacement value did not exceed the standard, it was close to the threshold, which did not meet the design requirements. At this time, a weighted optimization algorithm based on stress-displacement dual objectives was used to adjust the tower shape parameters. The formula is as follows: ,in This is the adjustment amount for the tower section wall thickness. For the preliminary design of the tower section wall thickness, To calculate the maximum stress value of the tower body in the simulation, The stress threshold, This represents the maximum horizontal displacement value calculated in the simulation. Displacement threshold This is the stress weighting coefficient. As the displacement weighting coefficient, considering that the stress exceeding the standard is more critical, the stress weighting coefficient is set to 0.6 and the displacement weighting coefficient is set to 0.4. The wall thickness of the lower 2-5m tower section is adjusted, increasing the wall thickness of this section from 8mm to 9.5mm. At the same time, the wall thickness of the upper tower section is slightly adjusted to balance the overall weight.

[0034] After adjustments, simulation calculations were performed again, and the results were compared with the threshold. This time, the maximum stress value of the tower body was reduced to below the threshold, and the maximum horizontal displacement value was further reduced, meeting the requirements. The tower shape parameters at this point were determined to be the optimal parameters. Finally, a simulation report was output according to a scoring algorithm based on data integrity. The report includes detailed basic information of the construction site, performance parameters of composite materials, details of the 3D solid model construction, simulation calculation process data, tower shape parameter adjustment process, and optimal tower shape parameters. This ensures that the report data is complete and logically clear, providing accurate processing parameters for the manufacturer and detailed technical basis for the on-site installation team, while also facilitating subsequent project review and technical improvement.

[0035] Example 2

[0036] A communication coverage point near the core viewing platform in a mountainous tourist area was selected as the construction site for a composite material communication tower. This area needs to meet the communication needs of tourists while also maintaining landscape harmony. Furthermore, due to the influence of mountainous terrain and seasonal tourist volume, the stability and environmental adaptability of the communication tower are crucial. When collecting basic information about the construction site, the focus was on collecting meteorological, topographical, and geological data from the past five years. These data directly relate to the subsequent load calculations and foundation design of the communication tower. The collected data underwent preprocessing. Abnormal data was first removed, such as instantaneous extremely high humidity records caused by sensor malfunctions during heavy rain or abnormally low temperature data during extreme snowstorms in winter, to prevent such data from affecting the accuracy of the simulation results. Subsequently, a wind speed-wind pressure conversion algorithm based on mountainous terrain correction was used to standardize the meteorological data. This algorithm can optimize for local wind speed differences caused by the undulations of the mountains within the scenic area, correcting wind pressure values ​​at different altitudes and slopes. This makes the processed meteorological data more closely match the actual microenvironment of the communication tower, providing reliable support for accurate wind load calculations and avoiding deviations in tower stress simulation due to distorted environmental parameters.

[0037] Lightweight and aesthetically pleasing carbon fiber reinforced composite materials were selected to prepare standard specimens. This material not only boasts excellent mechanical properties but also allows for surface treatment to adapt to the landscape requirements of scenic areas, minimizing its impact on tourists' visual experience. Mechanical and corrosion resistance tests were conducted on the specimens. In the mechanical property tests, tensile tests were performed to obtain the material's tensile strength under axial load, ensuring the tower has sufficient fracture resistance when subjected to vertical loads. Bending tests were conducted to measure bending strength, elastic modulus, and Poisson's ratio. The elastic modulus determines the degree of deformation of the tower under wind loads, while Poisson's ratio reflects the relationship between lateral and axial deformation under stress. These parameters are the core basis for the simulation model to reproduce the material's mechanical behavior and directly affect the accuracy of stress and displacement calculations for the tower.

[0038] The corrosion resistance test adopts an accelerated corrosion test algorithm based on mountain environmental factors. According to the annual average relative humidity of 70%, annual temperature fluctuation of 15℃, and mild environmental corrosion level coefficient of the scenic area, the environment is simulated in the accelerated corrosion test chamber. The composite material samples are subjected to accelerated corrosion test for 180 days. During this period, the mechanical property degradation of the samples is detected every 30 days. The corrosion resistance coefficient is determined based on the final test results. This coefficient can effectively reflect the performance degradation law of the material in the long-term humid and temperature difference environment of the scenic area. It can be used to correct the actual effective strength of the material in the simulation model, avoid the tower design being too dangerous due to ignoring the influence of corrosion, and ensure that the determined material input parameters are both consistent with the material's own characteristics and adapted to the environmental conditions of the scenic area.

[0039] A three-dimensional solid model of the composite material communication tower in the scenic area was constructed using ABAQUS finite element analysis software. This software offers high accuracy in simulating the stress on complex structures, meeting the reliability requirements of the simulation results for the communication tower. When defining material properties in the model, the tensile strength, flexural strength, elastic modulus, Poisson's ratio, and corrosion resistance coefficient of the composite material determined in step S2 were entered one by one to ensure that the model accurately reproduces the actual performance of the material under stress and corrosion conditions. When defining the tower foundation constraints, an elastic support stiffness calculation algorithm based on mountainous geological parameters was adopted, combined with the soil elastic modulus of the construction site, the tower foundation diameter, the tower foundation depth, and the geological uniformity coefficient. The elastic support stiffness of the tower base was calculated. This stiffness value can simulate the actual interaction state between the tower base and the soil, which is neither completely fixed nor completely free. This avoids the distortion of the tower base stress calculation caused by simple fixed constraints, and makes the model more consistent with the geological conditions of the scenic area. When defining external loads, the wind load is determined with reference to the pre-processed meteorological data of the scenic area, with a focus on the gust load in spring and autumn to ensure that the tower can withstand sudden winds during peak tourist seasons. The vertical load comprehensively considers the weight of the communication tower itself, the weight of the two layers of communication antennas to be installed, and the weight of supporting equipment, fully simulating the various loads that the tower will bear in actual use, and providing load conditions close to the real scene for subsequent simulation calculations.

[0040] Based on the communication coverage requirements and landscape harmony requirements of the scenic area, the preliminary parameters of the communication tower were determined as follows: the tower height is set at 25m; the wall thickness of the tower sections gradually changes from 7mm to 4mm from bottom to top; the diameter of the tower sections gradually changes from 1.0m to 0.6m from bottom to top; and the tower surface is coated with a light gray layer similar to the surrounding vegetation. Simulation calculations were performed based on the constructed 3D solid simulation model. The static analysis module of the software was run to simulate the stress distribution and displacement of the tower under the combined action of wind load and vertical load. The maximum stress value and maximum horizontal displacement value of the tower were finally output. When setting the threshold, the stress threshold was dynamically adjusted based on the composite material usage environment and the location of the tower sections. The algorithm, combined with the usage environment of the scenic area and the height and position of different tower sections, obtains a dynamic stress threshold. This threshold can be flexibly adjusted according to the actual stress of the tower section and environmental safety requirements, avoiding the use of a uniform threshold that could lead to design redundancy or safety hazards in some tower sections. The displacement threshold adopts a correction algorithm that combines antenna installation accuracy requirements. Based on the actual tower height and the planned number of two layers of antennas to be installed, the corrected maximum horizontal displacement threshold is calculated. This threshold ensures that the positional deviation of the antenna after installation is controlled within the allowable range for communication signal transmission, avoiding the impact of excessive tower displacement on communication quality, and providing a clear and reasonable judgment standard for subsequent evaluation of whether the tower shape parameters are qualified.

[0041] Comparing the simulated maximum stress value of the tower with the set stress threshold, it was found that the stress values ​​were all within the threshold range, but the maximum horizontal displacement of the tower was slightly higher than the displacement threshold by 5%, which did not meet the requirements for antenna installation accuracy and tower stability. Therefore, a weighted optimization algorithm based on stress-displacement dual objectives was used to adjust the tower parameters. Considering that excessive displacement directly affects communication quality, the displacement weight coefficient was set to 0.6 and the stress weight coefficient to 0.4. The focus was on adjusting the wall thickness of the lower and middle sections of the tower, increasing this section from 7mm to 8mm, while keeping the wall thickness of the upper tower section unchanged. This increased the overall horizontal displacement by enhancing the stiffness of the lower and middle sections. After the adjustment, the simulation calculation was repeated. The comparison results showed that the maximum horizontal displacement of the tower body was reduced to below the threshold, while the maximum stress value remained within the safe range, meeting the design requirements. The tower shape parameters at this point were determined to be the optimal parameters. Finally, a simulation report was generated according to a scoring algorithm based on data integrity. The report included detailed basic information of the construction site, performance parameters of composite materials, details of the 3D solid model construction, simulation calculation process data, tower shape parameter adjustment process, and optimal tower shape parameters. This ensured that the report data was complete and logically clear, providing accurate processing parameters for the manufacturer and detailed technical guidance for the on-site installation team, while also meeting the scenic area management department's review requirements for project safety and aesthetics.

[0042] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A simulation method for composite material communication tower shape parameters based on simulation models, characterized in that, The specific steps of this method are as follows: S1. Basic information collection and preprocessing steps of the construction site: Collect basic information of the communication tower construction site and preprocess it. The preprocessing includes removing abnormal data and performing standardization conversion based on the wind speed-wind pressure conversion algorithm based on mountain terrain correction. The wind speed-wind pressure conversion algorithm based on mountain terrain correction is used to correct the influence of mountain terrain on meteorological data. S2. Composite material performance testing and parameter determination steps: Select composite material samples for mechanical and corrosion resistance tests, determine the tensile strength, flexural strength, elastic modulus, Poisson's ratio and corrosion resistance coefficient of the composite material, and use them as material input parameters for the simulation model. The corrosion resistance coefficient is determined by a calculation algorithm that integrates multiple factors of the mountainous environment. S3. Steps for constructing a three-dimensional solid simulation model of a composite material communication tower: Construct a three-dimensional solid model of a composite material communication tower based on finite element analysis software, define material properties, tower base constraints and external loads. The external loads include wind loads and vertical loads. The tower base constraints are determined using an elastic support stiffness calculation algorithm based on mountain geological parameters to simulate the actual interaction between the tower base and the soil. S4. Preliminary determination of tower shape parameters, simulation calculation and threshold setting steps: Preliminarily determine the tower shape parameters of the communication tower, perform simulation calculation based on the simulation model, output the maximum stress value and maximum horizontal displacement value of the tower body, and set the stress threshold and displacement threshold. The stress threshold is determined by a dynamic adjustment algorithm based on the composite material usage environment and tower section position, and the displacement threshold is determined by a correction algorithm combined with the antenna installation accuracy requirements. S5. Simulation Result Evaluation, Tower Parameter Optimization, and Report Output Steps: Compare the simulation calculation results with the threshold. If the requirements are met, determine the optimal tower parameters and output the simulation report. If not, adjust the tower parameters and re-simulate. The parameter adjustment adopts a weighted optimization algorithm based on stress-displacement dual objectives. If multiple adjustments still fail to meet the requirements, the mechanical properties of the composite material will be reassessed using a material strength requirement algorithm derived from simulation results. The simulation report output will employ a data integrity-based scoring algorithm to ensure that the report includes key information required for production and installation. The reassessment of composite material performance needs to combine mountainous transportation limitations with simulation results to determine material strength requirements. The specific process is as follows: First, determine the maximum stress value of the tower body obtained from the simulation calculation under the current composite material, as well as the preliminary design wall thickness of the current tower section. Second, based on the weight limitations of drone lifting in mountainous areas and the composite material density of 1.8 g / cm³, calculate the maximum feasible wall thickness of the current tower section. This wall thickness is the maximum thickness that the tower section can achieve under transportation conditions. Then, use the current corrosion resistance coefficient of the composite material. Finally, through the correlation calculation of the current maximum stress value, maximum feasible wall thickness, preliminary design wall thickness, and corrosion resistance coefficient, deduce the minimum tensile strength of the composite material that meets the tower body stress threshold requirements. This minimum tensile strength value is the target value for subsequent composite material selection or process optimization.

2. The simulation method for composite material communication tower shape parameters based on a simulation model according to claim 1, characterized in that, In step 1, the standardization transformation of meteorological data adopts a wind speed-wind pressure conversion algorithm based on mountainous terrain correction. This algorithm is optimized for the wind speed non-uniformity caused by the undulating terrain in mountainous areas. The specific formula is as follows: ,in The actual standard value of wind load at the construction site. This refers to the basic wind pressure at a height of 10m. This is the terrain correction factor. This is the altitude correction factor. This refers to the actual height of the communication tower. This is the sine value of the slope of the terrain at the construction site.

3. The simulation method for composite material communication tower shape parameters based on a simulation model according to claim 1, characterized in that, In step 2, the corrosion resistance coefficient of the composite material is determined using an accelerated corrosion test algorithm based on mountainous environmental factors. The specific formula is as follows: ,in The corrosion resistance coefficient of the composite material. Design lifespan for communication towers The average annual relative humidity of the construction site. The average annual temperature fluctuation value of the construction site. To determine the corrosion resistance coefficient of the construction site environment, the composite material samples were placed in an accelerated corrosion test chamber simulating the construction site environment. An accelerated corrosion test was conducted for 180 days using the corrosion rate calculated according to the above formula. The degradation of the mechanical properties of the samples was periodically monitored to verify and correct the corrosion resistance coefficient. .

4. The simulation method for composite material communication tower shape parameters based on a simulation model according to claim 1, characterized in that, In step 3, the definition of the tower base constraint adopts an elastic support stiffness calculation algorithm based on mountain geological parameters. The specific formula is as follows: ,in For the elastic support stiffness of the tower base, The elastic modulus of the soil at the construction site, The diameter of the tower base. For the depth of the tower base, This is the geological uniformity coefficient.

5. The simulation method for composite material communication tower shape parameters based on a simulation model according to claim 1, characterized in that, In step 4, the stress threshold is set using a dynamic adjustment algorithm based on the composite material's operating environment and the tower section's location. The specific formula is as follows: ,in The dynamic stress threshold. For the tensile strength of composite materials, For corrosion resistance coefficient, This is the tower segment position coefficient, determined based on the tower segment's height position within the overall tower structure. To ensure environmental safety during use.

6. The simulation method for composite material communication tower shape parameters based on a simulation model according to claim 1, characterized in that, In step 4, the displacement threshold is set using a correction algorithm based on antenna installation accuracy requirements. The specific formula is as follows: ,in This is the corrected maximum horizontal displacement threshold. This refers to the actual height of the communication tower. This refers to the number of antenna installation layers.

7. The simulation method for composite material communication tower shape parameters based on a simulation model according to claim 1, characterized in that, In step 5, the adjustment of the tower shape parameters adopts a weighted optimization algorithm based on stress-displacement dual objectives, and the specific formula is as follows: ,in This is the adjustment amount for the tower section wall thickness. For the preliminary design of the tower section wall thickness, To calculate the maximum stress value of the tower body in the simulation, The stress threshold, This represents the maximum horizontal displacement value calculated in the simulation. Displacement threshold This is the stress weighting coefficient. This is the displacement weighting coefficient.

8. The simulation method for composite material communication tower shape parameters based on a simulation model according to claim 1, characterized in that, In step 5, the output of the simulation report must meet the data integrity standard, specifically as follows: First, clarify the key basic information items that the report must include; second, clarify the simulation process data items that must be included; finally, set the report integrity qualification standard, and ensure the quality of the report through quantitative assessment of missing items. That is, the absence of key basic information items will directly affect the accuracy of the basic parameters for subsequent production and installation, and the absence of simulation process data items will affect the traceability and reproducibility of the technical solution. Only when all key basic information items and simulation process data items are complete can the simulation report be used as the technical basis for the production, processing and on-site installation of composite material communication towers.

Images