Suspension bridge stress simulation analysis system

Abstract

The invention relates to the technical field of suspension bridges, in particular to a suspension bridge stress simulation analysis system, which comprises a vibration monitoring module, a cable force prediction and calibration module, an environmental influence analysis module and a structural performance evaluation module, and extracts frequency characteristic values and amplitude information based on vibration frequency data of a suspension bridge steel cable. According to the method, the vibration frequency data is used for deep analysis, potential structure defects are recognized in an early stage, the early warning capacity is remarkably improved, the potential maintenance cost is reduced, the service life of the bridge is prolonged, and the stability and safety of the bridge under variable loads are guaranteed through prediction and adjustment of the real-time cable force state; by integrating environmental data to update the fluid-solid coupling model, the system can accurately simulate the influence of environmental change on the bridge, optimize the structural design, enhance the structural adaptability, improve the economical efficiency and practicability of the bridge design, and optimize decision support, so that the bridge maintenance is more efficient, and the long-term structural safety of the bridge is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of suspension bridges, and in particular to a suspension bridge force simulation analysis system. Background Art

[0002] The field of suspension bridges covers many aspects such as the design, construction, maintenance and performance analysis of suspension bridges. A suspension bridge is a type of bridge structure that uses multiple steel cables or ropes to bear the main load. It is characterized by its ability to provide higher load-bearing capacity over a longer span. The core of this field is to ensure structural safety and economic efficiency, including the study of the dynamic behavior, stability, durability and environmental impact of bridges.

[0003] Among them, the suspension bridge stress simulation and analysis system is a system that simulates and analyzes the stress state of the suspension bridge under different environments and load conditions. Its main purpose is to help engineers evaluate the structural safety of the suspension bridge, optimize design parameters, predict possible structural problems, and provide a scientific basis for the construction, maintenance and upgrading of the bridge. By simulating different load conditions (such as vehicle passage, wind load, earthquake impact, etc.), it can show various situations that the bridge may encounter in actual operation, so as to make necessary structural adjustments and reinforcement measures in advance to ensure the long-term safety and stability of the bridge.

[0004] The existing system fails to fully simulate the impact of extreme weather on bridges and lacks adaptive analysis of complex environmental variables, resulting in inaccurate performance evaluation under extreme events, affecting bridge safety. In addition, traditional technologies are also limited in real-time monitoring and rapid response capabilities of cable tension status, and lack effective prediction tools to deal with emergencies, increasing the risk of structural failure. These technical shortcomings limit the operational efficiency of bridges and can easily cause serious structural problems when potential problems are not discovered or dealt with in a timely manner. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a suspension bridge force simulation analysis system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a suspension bridge force simulation analysis system, the system comprising: The vibration monitoring module extracts frequency characteristic values ​​and amplitude information based on the vibration frequency data of the suspension bridge cables, evaluates the stress state and structural health of the cables, and mines potential signs of instability or damage to obtain vibration health indicators; The cable force prediction calibration module predicts the cable force state of the suspension bridge anchorage system based on the vibration health index, uses the correlation parameters between the vibration frequency and the cable force to evaluate the cable force state in real time, and adjusts the cable force prediction parameters according to the data provided by the lateral pressure tension method to obtain the cable force state parameters; The environmental impact analysis module collects meteorological and geological data, including wind speed and earthquake records, analyzes the structural impact on the suspension bridge tower, updates the parameters of the fluid-structure coupling model, simulates the tower's response under different environmental conditions, and obtains environmental response simulation records; The structural performance evaluation module is based on the cable force state parameters and environmental response simulation records, and performs finite element analysis by simulating and analyzing the structural performance of the suspension bridge, combining the effect of the vibration damper and the material fatigue characteristics, to evaluate the load and displacement of the suspension bridge under the current working conditions, and obtain the structural evaluation analysis results.

[0007] The present invention is improved in that the stress state and structural health assessment steps are specifically as follows: Based on the vibration frequency data of the suspension bridge cables, the frequency characteristic value and amplitude information are extracted, and the noise is removed by digital filtering to obtain the processed frequency data; Based on the processed frequency data, the stress distribution and fatigue degree of the steel cable are calculated using the principle of material mechanics, using the formula: ; Get stress analysis results ,in, is the elastic modulus of the material, is the dependent variable, is the proportionality coefficient, which is used to characterize the influence of vibration frequency on stress. is the maximum frequency obtained from the processed frequency data; Based on the stress analysis results, the remaining service life of the steel cable is evaluated, its stability and safety under the current load are determined, and a health assessment record of the steel cable is obtained.

[0008] The present invention is improved in that the steps of obtaining the vibration health index are specifically as follows: Based on the stress state and structural health, analyze potential instability or damage signs, extract key risks, and obtain risk identification results; Based on the risk identification results, the risk impact weight is calculated by comparing with the historical cases in the long-term monitoring data to obtain the risk weight information; Based on the risk weight information, the formula is used: ; Calculate the overall health index of the wire rope , and obtain the vibration health index, where Indicates The weight of the risk, Denotes the corresponding probability score.

[0009] The present invention is improved in that the step of real-time evaluation of the cable tension state is specifically: Based on the vibration health index, real-time data obtained from the suspension bridge is collected, including vibration amplitude and frequency characteristics, and the vibration health index is updated according to the real-time data to obtain a vibration analysis result; Based on the vibration analysis results, the current cable force state level is predicted using the correlation parameters between the vibration frequency and the cable force to obtain a cable force prediction value; Based on the predicted cable force value and combined with monitoring data, the formula is adopted: ; Real-time assessment of cable tension status ,in, is the predicted value of the cable force, It represents the difference between the measured cable tension value and the predicted value. is the adjustment factor.

[0010] The present invention is improved in that the step of obtaining the cable force state parameter is specifically as follows: Collecting the cable force data measured by the lateral pressure tension method, including the current cable force state of the suspension bridge anchorage system, to obtain measured cable force data; Based on the measured cable tension data, the data is compared with the cable tension prediction state, the degree of deviation is analyzed, the accuracy and potential improvement points of the prediction process are identified, and the cable tension prediction parameters are adjusted to obtain the cable tension state parameters.

[0011] The present invention is improved in that the steps of analyzing the structural influence on the suspension bridge tower column are specifically as follows: Collect the meteorological and geological data, including wind speed and earthquake records, through ground and satellite monitoring to obtain meteorological and geological data sets; Based on the meteorological and geological data sets, the effects of wind speed and seismic activity on suspension bridge towers were evaluated using the formula: ; The structural impact analysis results are obtained, where is the structural impact value on the tower column, Indicates the monitored wind speed value. Indicates the intensity of earthquake activity. and are the weight coefficients of wind speed and earthquake intensity, is the proportionality coefficient.

[0012] The present invention is improved in that the step of obtaining the environmental response simulation record is specifically as follows: According to the structural impact analysis results, the fluid-solid coupling model parameters are adjusted to obtain a model adjustment result; Based on the model adjustment results, the column simulation was carried out under differentiated environmental conditions using the formula: ; Get the environmental response simulation record, where represents the simulated environmental response value, is the adjusted structural impact value, is the proportionality coefficient, is the power exponent.

[0013] The present invention is improved in that the steps of obtaining the structural evaluation and analysis results are specifically as follows: Based on the cable force state parameters and environmental response simulation records, key data are integrated, and it is verified whether the data includes tower column response information and current environmental conditions to obtain cable force and environmental integration results; Based on the cable force and environment integration results, combined with the vibration damper effect and material fatigue characteristics, finite element analysis is performed to calculate the stress-strain response and obtain preliminary evaluation results; From the preliminary evaluation results, key performance indicators are extracted to evaluate the load and deflection of the suspension bridge under the current working conditions, using the formula: ; The structural evaluation analysis results are obtained, wherein: represents the loads and deflections of the structure, is the maximum stress value, is the expected offset, is the model adjustment coefficient, is the safety factor, It's the fatigue factor.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by using vibration frequency data for in-depth analysis, potential structural defects are identified at an early stage, the early warning capability is significantly improved, potential maintenance costs are reduced, and the service life of the bridge is extended. The real-time prediction and adjustment of the cable tension state ensures the stability and safety of the bridge under variable loads. By integrating environmental data to update the fluid-solid coupling model, the system can accurately simulate the impact of environmental changes on the bridge, optimize the structural design, enhance the structural adaptability, improve the economy and practicality of the bridge design, and optimize decision support, making bridge maintenance more efficient and ensuring its long-term structural safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a system flow chart of the present invention; Figure 2 is a flow chart for evaluating the stress state and structural health in the present invention; Figure 3 A flowchart for obtaining the vibration health index in the present invention; Figure 4It is a flow chart of real-time evaluation of cable tension state in the present invention; Figure 5 is a flow chart for obtaining the cable force state parameters in the present invention; Figure 6 A flow chart for analyzing the structural impact on the suspension bridge tower column in the present invention; Figure 7 A flowchart for obtaining environmental response simulation records in the present invention; Figure 8 The figure is a flow chart for obtaining the structural evaluation and analysis results in the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0018] Example: See Figure 1 The present invention provides a technical solution: a suspension bridge force simulation analysis system comprising: The vibration monitoring module extracts frequency characteristic values ​​and amplitude information based on the vibration frequency data of the suspension bridge cables, evaluates the stress state and structural health of the cables, and mines potential signs of instability or damage to obtain vibration health indicators; The cable force prediction and calibration module predicts the cable force state of the suspension bridge anchorage system based on the vibration health index, uses the correlation parameters between vibration frequency and cable force to evaluate the cable force state in real time, and adjusts the cable force prediction parameters based on the data provided by the lateral pressure tension method to obtain the cable force state parameters. The environmental impact analysis module collects meteorological and geological data, including wind speed and earthquake records, analyzes the structural impact on the suspension bridge tower, updates the parameters of the fluid-solid coupling model, simulates the response of the tower under different environmental conditions, and obtains environmental response simulation records; the parameters of the fluid-solid coupling model specifically include wind speed coefficient, earthquake acceleration response coefficient, vibration damping ratio and structural resistance coefficient.

[0019] The structural performance evaluation module is based on the cable tension state parameters and environmental response simulation records. It simulates and analyzes the structural performance of the suspension bridge, combines the effect of the vibration damper and the material fatigue characteristics, performs finite element analysis, evaluates the load and displacement of the suspension bridge under the current working conditions, and obtains the structural evaluation analysis results.

[0020] Vibration health indicators include stability rating, damage detection index, and health monitoring signs. Cable tension state parameters include prediction error rate, real-time response level, and calibration efficiency. Environmental response simulation records include meteorological adaptability score, seismic response coefficient, and environmental adjustment index. Structural assessment and analysis results specifically refer to load tolerance, offset response analysis results, and fatigue damage assessment results.

[0021] See also Figure 2 , the specific steps for evaluating the stress state and structural health are: Based on the vibration frequency data of the suspension bridge cables, the frequency characteristic value and amplitude information are extracted, and the noise is removed by digital filtering to obtain the processed frequency data; After the vibration frequency data is collected by the vibration sensor, it is first stored in the form of a time series, and then denoised using digital filtering. The low-frequency and high-frequency noise are eliminated by setting the cutoff frequency values ​​of the high-pass filter and the low-pass filter. The specific filtering parameters are dynamically adjusted according to the main frequency range of the vibration signal. The denoised data is then converted into a frequency domain signal through Fourier transform. The peak frequency and corresponding amplitude in the frequency spectrum are further analyzed. The main frequency components and amplitude information of the vibration signal are retained through data screening to form the processed frequency data as the basis for subsequent calculations and analysis.

[0022] Based on the processed frequency data, the stress distribution and fatigue degree of the steel cable are calculated using the principle of material mechanics, using the formula: ; Get stress analysis results ,in, is the elastic modulus of the material, is the dependent variable, is the proportionality coefficient, which is used to characterize the influence of vibration frequency on stress. is the maximum frequency obtained from the processed frequency data; Represents the elastic modulus of the material, obtained through material testing, which is 210GPa, represents the strain obtained from actual measurement, which is 0.01. is the proportionality coefficient, which is taken as 0.1 GPa / Hz, For the maximum frequency obtained in the processed data, for example 5 Hz, calculate In the process, the product of elastic modulus and strain is first calculated: ; Then add 1 to the product of the correction factor and the maximum frequency: ; Finally we get: ; The results show that the stress state of the cable under the current conditions is 2.6 GPa, which is helpful to assess the health status of the cable and predict its life.

[0023] Based on the stress analysis results, the remaining service life of the steel cable is evaluated, its stability and safety under the current load are determined, and the health assessment record of the steel cable is obtained; By introducing material fatigue curve parameters, the fatigue life range of the steel cable material under different stress amplitudes is obtained. Secondly, the joint distribution of the number of cycles and the stress amplitude is calculated in combination with the actual stress environment of the steel cable and the historical load data to obtain the fatigue life loss rate. The remaining life is determined by comparing the accumulated value of the loss rate with the material fatigue limit value. The safety risk faced by the steel cable is determined by analyzing the distribution pattern of the load spectrum, forming a steel cable health assessment record that includes remaining life assessment and safety judgment.

[0024] See also Figure 3 ,The specific steps for obtaining vibration health indicators are: Based on the stress state and structural health, analyze potential instability or damage signs, extract key risks, and obtain risk identification results; A statistical distribution analysis is performed on the force data of the steel cable, and the abnormal areas of stress change are confirmed through segmented fitting. Combined with the historical load data in the structural health monitoring report, the distribution fitting and deviation calculation methods are used to identify the stress limit points and the trend of cumulative stress value changes. The high-risk areas in the fatigue cycle of the steel cable are segmented and extracted. At the same time, combined with the change of vibration frequency, the stress accumulation level and crack propagation area in the unstable area are identified and coded, and the risk factor extraction results are obtained and stored as risk identification records.

[0025] Based on the risk identification results, the risk impact weight is calculated by comparing with the historical cases in the long-term monitoring data to obtain the risk weight information; Based on the risk identification results, the key risk factors and related parameters in the identification records are first extracted, including cumulative stress values ​​and crack propagation information. Then, historical cases matching the current cable structure conditions are screened from the long-term monitoring data. The similarity and correlation between the risk factor parameters are calculated, and the influence weight matrix of each key factor is generated using the multidimensional matrix method. The risk factor weight distribution results are generated through step-by-step comparison, and finally the weight information is stored as a risk weight report.

[0026] Based on the risk weight information, the formula is used: ; Calculate the overall health index of the wire rope , and obtain the vibration health index, where Indicates The weight of the risk, represents the corresponding probability score; The main risks of steel cables include corrosion and fatigue, corrosion weight , fatigue weight , probability score of corrosion , the probability score of fatigue , calculate the health index as: ; ; ; The results show that considering the current corrosion and fatigue risks, the health index of the steel cable is 99.46, indicating that its structural health is good, but attention should still be paid to the potential impact of corrosion on future safety.

[0027] See also Figure 4 , the specific steps for real-time evaluation of cable tension state are: Based on the vibration health index, real-time data obtained from the suspension bridge, including vibration amplitude and frequency characteristics, are collected, and the vibration health index is updated according to the real-time data to obtain vibration analysis results; Collect real-time data obtained from the suspension bridge. Vibration data, including vibration amplitude and frequency characteristics, are collected in real time through sensors distributed at key locations on the bridge. The data is preprocessed to remove environmental noise and equipment interference. A high-pass filter is used to remove low-frequency interference and smooth high-frequency abnormal signals. The data is stored in a standard format and marked with timestamps and source identifiers. The integrity and consistency of the data are verified through multi-parameter comparison. The processed data is used to update the vibration health index, which includes stability rating, damage detection index, etc., to reflect the health status of the bridge and obtain the vibration analysis results.

[0028] Based on the vibration analysis results, the correlation parameters between vibration frequency and cable force are used to predict the current cable force state level and obtain the cable force prediction value; Using the correlation parameters between vibration frequency and cable force, the extracted vibration frequency characteristics are input into the cable force prediction model. The model combines the historical cable force records and actual working conditions of the suspension bridge anchoring system, and calculates the cable force level through multi-parameter regression analysis. The model is trained under multiple working conditions to obtain the optimal fitting parameters, including weight values ​​for different frequency ranges. The frequency characteristics are converted into cable force levels through a specific calculation process, and the model output is further adjusted to match the working conditions to generate the current cable force prediction value. The prediction value directly reflects the bridge cable force state corresponding to the current vibration analysis result.

[0029] Based on the predicted value of cable force and combined with monitoring data, the formula is adopted: ; Real-time assessment of cable tension status ,in, is the predicted value of the cable force, It represents the difference between the measured cable tension value and the predicted value. It is an adjustment factor, which is used to fine-tune the forecast output information according to the actual situation. It is determined by analyzing the deviation between historical data and measured values, with the purpose of optimizing the accuracy of the forecast; At a specific time point, the predicted cable force is 850 kN ( ), the measured cable force is 860kN, the difference For 10kN, adjustment factor Set to 0.5, the adjusted cable tension state Calculated as: ; The results show that by adjusting the formula, the predicted value of the cable force can be effectively corrected to a value closer to the actual measured value, which improves the credibility and practicality of the evaluation results.

[0030] See also Figure 5 , the specific steps for obtaining the cable force state parameters are: Collect the cable force data measured by the lateral pressure tension method, including the current cable force state of the suspension bridge anchorage system, and obtain the measured cable force data; Real-time data is acquired through the sensor network, and the data is filtered and classified into different cable force measurement dimensions, including maximum cable force, minimum cable force and their range of variation. Data cleaning methods are used to eliminate outliers and missing values, and the measurement results are calibrated. By converting the data into unified units and formats, standardized cable force measurement records are generated, and finally complete measured cable force data is formed, which provides a basis for subsequent deviation analysis and prediction adjustments.

[0031] Based on the measured cable force data, the cable force prediction state is compared with the measured cable force data to analyze the degree of deviation, identify the accuracy of the prediction process and potential improvement points, and adjust the cable force prediction parameters to obtain the cable force state parameters. Compare with the predicted cable force state, calculate the average deviation and maximum deviation between the predicted value and the measured value, statistically analyze its changing trend under different working conditions, identify abnormal intervals and key influencing factors in the deviation distribution, call the deviation analysis results to optimize the adjustment parameters of the cable force prediction model, update the adjustment coefficient and re-predict the cable force state, verify the corrected cable force prediction value with the measured data, adjust the cable force prediction parameters and determine the latest cable force state parameters, which are the key indicators for monitoring the suspension bridge structure.

[0032] See also Figure 6 , the specific steps for analyzing the structural impact on the suspension bridge tower are: Collect meteorological and geological data, including wind speed and earthquake records, through ground and satellite monitoring to obtain meteorological and geological data sets; Wind speed data is collected by ground meteorological stations, and the deployed sensor system measures multiple parameters including instantaneous wind speed and average wind speed. At the same time, satellite remote sensing technology is used to extract the atmospheric dynamic characteristics in the area, and the wind speed data is corrected to unify its time base. Earthquake record data is obtained through the seismic monitoring network to record the magnitude, epicenter location and focal depth of the earthquake. The data format is converted for adaptive analysis. Finally, data denoising and timestamp calibration are used to form a unified meteorological and geological data set, which provides basic data support for the structural impact analysis of the suspension bridge towers.

[0033] Based on meteorological and geological data sets, the effects of wind speed and seismic activity on suspension bridge towers were evaluated using the formula: ; The structural impact analysis results are obtained, where is the structural impact value on the tower column, Indicates the monitored wind speed value. Indicates the intensity of earthquake activity. and are the weight coefficients of wind speed and earthquake intensity, which are used to adjust the contribution of different environmental factors in the total impact calculation. is the proportionality factor, which is adjusted based on historical data and is used to refine and adjust the accuracy of impact assessment; Wind speed The measured value is 35m / s, and the earthquake intensity is The wind speed weight is 7.5. is 0.3, earthquake weight is 0.7, the proportionality coefficient Set to 1.2, the total influence of the structure Calculated as: ; ; ; The results show that by adjusting the contribution of various parameters, the total impact of wind speed and earthquake on the tower structure is 18.9, which is helpful for further safety assessment and structural strengthening.

[0034] See also Figure 7 , the specific steps for obtaining environmental response simulation records are: According to the structural impact analysis results, the fluid-solid coupling model parameters are adjusted to obtain the model adjustment results; The key output parameters in the structural impact analysis results, such as the impact values ​​of wind speed and earthquake intensity, are called up, and the sensitivity of different parameters to the model response is calculated through numerical analysis methods. Then, the control variables in the model are optimized according to the sensitivity analysis results, including adjusting specific parameters such as dynamic viscosity coefficient, inertia parameter and stress distribution coefficient. During optimization, it is necessary to ensure that the parameter adjustment can cover a variety of environmental conditions, and verify the adjusted parameters through numerical simulation to verify their adaptability and accuracy to the model response. Finally, the model adjustment is completed and the optimized model parameters are obtained.

[0035] Based on the model adjustment results, the tower column simulation was carried out under differentiated environmental conditions using the formula: ; Get the environmental response simulation record, where Represents the simulated environmental response value, which is used to describe the response of the column under given environmental conditions. is the adjusted structural impact value, is the proportionality factor, which is used to adjust the simulated output to ensure that the output response record is more consistent with the actual observation. It is a power exponent, which is used to adjust the nonlinear effects of the impact value to ensure that the model can adapt to various complex environmental conditions; Adjusted structural impact value is 20, the proportionality factor Set to 1.5, the power exponent is 2, then the simulated environmental response value Calculated as: ; The results show that the simulated environmental response value is 600, which can be used to evaluate the safety and stability of the tower column in a specific environment.

[0036] See also Figure 8 , the specific steps for obtaining the structural evaluation and analysis results are as follows: Based on the cable force state parameters and environmental response simulation records, key data are integrated and verified whether the data includes tower column response information and current environmental conditions to obtain the cable force and environment integration results; Extract key data related to the tower column response information and check the current environmental conditions. By aligning the cable force data with the environmental data in time and space coordinates, filter out the data set related to the current analysis scenario, perform outlier detection on the time series data, and remove noise points in the data that affect accuracy. Then normalize the cleaned data to maintain the unified dimension of each variable in subsequent calculations. By completing the above processing, the integrated results of cable force and environment are obtained.

[0037] Based on the cable force and environment integration results, combined with the vibration damper effect and material fatigue characteristics, finite element analysis was performed to calculate the stress-strain response and obtain preliminary evaluation results; Damping parameters related to the vibration damper effect and performance indicators related to material fatigue are selected. By defining the stress-strain relationship model and constructing a finite element analysis framework, the mechanical response of the tower column under the influence of load and environment is calculated. The calculation process is refined into multiple steps, including meshing, material parameter loading, boundary condition setting and load application. Through automatic iterative solution, the stress and strain distribution data are obtained to generate preliminary evaluation results.

[0038] From the preliminary evaluation results, key performance indicators were extracted to evaluate the load and deflection of the suspension bridge under the current working conditions using the formula: ; The structural evaluation analysis results are obtained, among which, represents the loads and deflections of the structure, is the maximum stress value, obtained by finite element analysis, is the expected displacement, which indicates the expected structural displacement caused by environmental factors (such as wind load, earthquake, etc.). is the model adjustment coefficient, is a safety factor used to ensure the safety of structural design and is set based on industry standards or historical data. It is a fatigue factor used to assess the fatigue degree of structural materials under repeated loads, based on material performance tests and previous data; Calculation of deflection affected by wind load: The deflection of a suspension bridge under wind force can be estimated by an aerodynamic model, and the wind-induced deformation of the bridge can be calculated by the following formula: ; in, is the wind load, in units (by wind speed Calculated by fluid mechanics formula), is the bridge span, in units , is the elastic modulus of the material, in units of , is the moment of inertia of the area, in units of (related to the cross-sectional shape of the bridge).

[0039] If the wind speed It is known that the empirical formula can be used: ; Calculating wind loads , and then substitute into the above formula to solve .

[0040] Calculation of displacement affected by earthquake: The structural displacement under earthquake action is usually obtained by earthquake response analysis, and the approximate calculation formula is: ; in, is the seismic spectral acceleration, in units of , which can be obtained from seismic codes or earthquake records, is the bridge span, in units , is the acceleration due to gravity .

[0041] Maximum stress MPa, expected displacement , safety factor , fatigue factor , adjustment coefficient , then the load and offset Calculated as: ; The results show that the load and deflection of the structure are 356.48, taking into account the maximum stress and expected deflection, as well as the adjustment of the safety factor and fatigue factor, which reflects the performance status of the structure under the given conditions.

[0042] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A suspension bridge stress simulation analysis system, characterized in that: The system comprises: The vibration monitoring module extracts frequency characteristic values ​​and amplitude information based on the vibration frequency data of the suspension bridge cables, evaluates the stress state and structural health of the cables, and mines potential signs of instability or damage to obtain vibration health indicators; The cable force prediction calibration module predicts the cable force state of the suspension bridge anchorage system based on the vibration health index, uses the correlation parameters between the vibration frequency and the cable force to evaluate the cable force state in real time, and adjusts the cable force prediction parameters according to the data provided by the lateral pressure tension method to obtain the cable force state parameters; The environmental impact analysis module collects meteorological and geological data, including wind speed and earthquake records, analyzes the structural impact on the suspension bridge tower, updates the parameters of the fluid-structure coupling model, simulates the tower's response under different environmental conditions, and obtains environmental response simulation records; The structural performance evaluation module is based on the cable force state parameters and environmental response simulation records, and performs finite element analysis by simulating and analyzing the structural performance of the suspension bridge. It combines the effect of the vibration damper and the material fatigue characteristics, evaluates the load and displacement of the suspension bridge under the current working conditions, and obtains the structural evaluation analysis results.

2. The suspension bridge force simulation analysis system according to claim 1, characterized in that: The stress state and structural health assessment steps are as follows: Based on the vibration frequency data of the suspension bridge cables, the frequency characteristic value and amplitude information are extracted, and the noise is removed by digital filtering to obtain the processed frequency data; Based on the processed frequency data, the stress distribution and fatigue degree of the steel cable are calculated using the principle of material mechanics, using the formula: ； Get stress analysis results ,in, is the elastic modulus of the material, is the dependent variable, is the proportionality coefficient, which is used to characterize the influence of vibration frequency on stress. is the maximum frequency obtained from the processed frequency data; Based on the stress analysis results, the remaining service life of the steel cable is evaluated, its stability and safety under the current load are determined, and a health assessment record of the steel cable is obtained.

3. The suspension bridge force simulation analysis system according to claim 1, characterized in that: The steps for obtaining the vibration health index are specifically as follows: Based on the stress state and structural health, analyze potential instability or damage signs, extract key risks, and obtain risk identification results; Based on the risk identification results, the risk impact weight is calculated by comparing with the historical cases in the long-term monitoring data to obtain the risk weight information; Based on the risk weight information, the formula is used: ； Calculate the overall health index of the wire rope , and obtain the vibration health index, where Indicates The weight of the risk, Denotes the corresponding probability score.

4. The suspension bridge force simulation analysis system according to claim 1, characterized in that: The steps of real-time evaluation of the cable tension state are specifically as follows: Based on the vibration health index, real-time data obtained from the suspension bridge is collected, including vibration amplitude and frequency characteristics, and the vibration health index is updated according to the real-time data to obtain a vibration analysis result; Based on the vibration analysis results, the current cable force state level is predicted using the correlation parameters between the vibration frequency and the cable force to obtain a cable force prediction value; Based on the predicted cable force value and combined with monitoring data, the formula is adopted: ； Real-time assessment of cable tension status ,in, is the predicted value of the cable force, It represents the difference between the measured cable tension value and the predicted value. is the adjustment factor.

5. The suspension bridge force simulation analysis system according to claim 1, characterized in that: The steps for obtaining the cable force state parameters are specifically as follows: Collecting the cable force data measured by the lateral pressure tension method, including the current cable force state of the suspension bridge anchorage system, to obtain measured cable force data; Based on the measured cable tension data, the data is compared with the predicted cable tension state, the degree of deviation is analyzed, the accuracy and potential improvement points of the prediction process are identified, and the cable tension prediction parameters are adjusted to obtain the cable tension state parameters.

6. The suspension bridge force simulation analysis system according to claim 1, characterized in that: The steps of analyzing the structural impact on the suspension bridge tower column are specifically as follows: Collect the meteorological and geological data, including wind speed and earthquake records, through ground and satellite monitoring to obtain meteorological and geological data sets; Based on the meteorological and geological data sets, the effects of wind speed and seismic activity on suspension bridge towers were evaluated using the formula: ； The structural impact analysis results are obtained, where is the structural impact value on the tower column, Indicates the monitored wind speed value. Indicates the intensity of earthquake activity. and are the weight coefficients of wind speed and earthquake intensity, is the proportionality coefficient.

7. The suspension bridge force simulation analysis system according to claim 1, characterized in that: The steps for obtaining the environmental response simulation record are specifically as follows: According to the structural impact analysis results, the fluid-solid coupling model parameters are adjusted to obtain a model adjustment result; Based on the model adjustment results, the column simulation was carried out under differentiated environmental conditions using the formula: ； Get the environmental response simulation record, where represents the simulated environmental response value, is the adjusted structural impact value, is the proportionality coefficient, is the power exponent.

8. The suspension bridge force simulation analysis system according to claim 1, characterized in that: The steps for obtaining the structural evaluation and analysis results are specifically as follows: Based on the cable force state parameters and environmental response simulation records, key data are integrated, and it is verified whether the data includes tower column response information and current environmental conditions to obtain cable force and environmental integration results; Based on the cable force and environment integration results, combined with the vibration damper effect and material fatigue characteristics, finite element analysis is performed to calculate the stress-strain response and obtain preliminary evaluation results; From the preliminary evaluation results, key performance indicators are extracted to evaluate the load and deflection of the suspension bridge under the current working conditions, using the formula: ； The structural evaluation analysis results are obtained, wherein: represents the loads and deflections of the structure, is the maximum stress value, is the expected offset, is the model adjustment coefficient, is the safety factor, It's the fatigue factor.

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