A suspension bridge stress simulation analysis system

Abstract

The present invention relates to the technical field of suspension bridges, and specifically to a suspension bridge stress simulation and analysis system, the system comprising a vibration monitoring module, a cable force prediction and calibration module, an environmental impact analysis module and a structural performance evaluation module, and extracting frequency characteristic values ​​and amplitude information based on the vibration frequency data of the suspension bridge steel cable. The present invention, by using the vibration frequency data for in-depth analysis, identifies potential structural defects at an early stage, significantly improves the early warning capability, reduces potential maintenance costs, and extends the service life of the bridge. The prediction and adjustment of the real-time cable force 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.

Description

Technical Field

[0001] The present invention relates to the technical field of suspension bridges, and particularly to a stress simulation analysis system for suspension bridges. Background Art

[0002] The field of suspension bridges covers multiple 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. Its characteristic is that it can provide a high load-bearing capacity over a long span. The core of this field is to ensure structural safety and economic efficiency, including researching the dynamic behavior, stability, durability, and environmental impact of the bridge.

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

[0004] Existing systems fail to fully simulate the impact of extreme weather on bridges and lack adaptability analysis for complex environmental variables, resulting in inaccurate performance evaluation under extreme events and affecting bridge safety. In addition, traditional technologies also have limitations in the real-time monitoring and rapid response capabilities of cable force states, lacking effective prediction tools to handle emergencies, increasing the risk of structural failures. These technical shortcomings limit the operation efficiency of bridges and are prone to causing serious structural problems when potential problems are not discovered or handled in a timely manner. Summary of the Invention

[0005] The purpose of the present invention is to solve the deficiencies existing in the prior art and to propose a stress simulation analysis system for suspension bridges.

[0006] To achieve the above purpose, the present invention adopts the following technical solution: A stress simulation analysis system for suspension bridges, the system includes:

[0007] The vibration monitoring module extracts frequency characteristic values and amplitude information based on the vibration frequency data of the suspension bridge steel cables, evaluates the stress state and structural health of the steel cables, and discovers potential instability or damage signs to obtain vibration health indicators;

[0008] The cable force prediction and calibration module predicts the cable force state of the suspension bridge anchoring system based on the vibration health index, uses the correlation parameter between the vibration frequency and the cable force to evaluate the cable force state in real time, and adjusts the cable force prediction parameters by comparing with the data provided by the lateral pressure tension method to obtain the cable force state parameters;

[0009] The environmental impact analysis module collects meteorological and geological data, including wind speed and seismic records, analyzes the structural impact on the suspension bridge tower columns, updates the parameters of the fluid-structure interaction model, and simulates the response of the tower columns under different environmental conditions to obtain the environmental response simulation records;

[0010] The structural performance evaluation module, based on the cable force state parameters and the environmental response simulation records, evaluates the structural performance of the suspension bridge through simulation analysis, combines the effects of vibration dampers and material fatigue characteristics, performs finite element analysis, and evaluates the load and deflection of the suspension bridge under the current working conditions to obtain the structural evaluation analysis results.

[0011] The improvement of the present invention is that the evaluation steps of the stress state and structural health are specifically as follows:

[0012] Based on the vibration frequency data of the suspension bridge steel cables, frequency characteristic values and amplitude information are extracted, and noise is removed through digital filtering to obtain the processed frequency data;

[0013] Based on the processed frequency data, using the principles of material mechanics, the stress distribution and fatigue degree of the steel cables are calculated, and the formula is adopted:

[0014] ;

[0015] The stress analysis results are obtained , where is the elastic modulus of the material, is the strain, is the proportionality coefficient, which is used to characterize the influence degree of the vibration frequency on the stress, is the maximum frequency obtained from the processed frequency data;

[0016] Based on the stress analysis results, the remaining service life of the steel cables is evaluated, and its stability and safety under the current load are judged to obtain the steel cable health evaluation records.

[0017] The improvement of the present invention is that the acquisition steps of the vibration health index are specifically as follows:

[0018] Based on the stress state and structural health, potential instability or damage signs are analyzed, and key risks are extracted to obtain the risk identification results;

[0019] Based on the risk identification results, a comparison is made with historical cases in the long-term monitoring data, and the influence weight of the risk is calculated to obtain the risk weight information;

[0020] According to the risk weight information, use the formula:

[0021] ;

[0022] Calculate the total health index of the steel cable , and obtain the vibration health index, where represents the weight of the th risk, represents the corresponding probability score.

[0023] The improvement of the present invention is that the step of real-time evaluation of the cable force state is specifically as follows:

[0024] Based on the vibration health index, collect real-time data obtained from the suspension bridge, including vibration amplitude and frequency characteristics, update the vibration health index according to the real-time data, and obtain the vibration analysis result;

[0025] Based on the vibration analysis result, use the correlation parameter between the vibration frequency and the cable force to predict the current cable force state level and obtain the cable force prediction value;

[0026] Based on the cable force prediction value, combined with the monitoring data, use the formula:

[0027] ;

[0028] Real-time evaluate the cable force state , where is the cable force prediction value, represents the difference between the measured cable force value and the prediction value, is the adjustment coefficient.

[0029] The improvement of the present invention is that the step of obtaining the cable force state parameters is specifically as follows:

[0030] Collect the cable force data measured by the lateral pressure tension method, including the current cable force state of the suspension bridge anchoring system, and obtain the measured cable force data;

[0031] Based on the measured cable force data, compare it with the predicted cable force state, analyze the deviation degree, 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.

[0032] The improvement of the present invention is that the step of analyzing the structural influence on the suspension bridge tower column is specifically as follows:

[0033] Through ground and satellite monitoring, collect the meteorological and geological data, including wind speed and seismic records, to obtain the meteorological and geological data sets;

[0034] Based on the meteorological and geological data sets, the effects of wind speed and seismic activity on the pylons of the suspension bridge are evaluated using the formula:

[0035] ;

[0036] The structural impact analysis results are obtained, where is the structural impact value on the pylon, represents the measured wind speed value, represents the intensity of seismic activity, and are the weight coefficients of wind speed and seismic intensity respectively, is the proportionality coefficient.

[0037] The improvement of the present invention is that the steps for obtaining the environmental response simulation record are specifically as follows:

[0038] According to the structural impact analysis results of the pylons of the suspension bridge, the parameters of the fluid-structure interaction model are adjusted to obtain the model adjustment results;

[0039] Based on the model adjustment results, the pylon simulation is carried out under different environmental conditions using the formula:

[0040] ;

[0041] The environmental response simulation record is obtained, where represents the simulated environmental response value, is the adjusted structural impact value, is the proportionality coefficient, is the power exponent.

[0042] The improvement of the present invention is that the steps for obtaining the structural evaluation analysis results are specifically as follows:

[0043] Based on the cable force state parameters and the environmental response simulation record, the key data are integrated, and it is verified whether the data includes the pylon response information and the current environmental conditions to obtain the cable force and environment integration result;

[0044] Based on the cable force and environment integration result, combined with the effect of the vibration damper and the material fatigue characteristics, finite element analysis is performed to calculate the stress-strain response to obtain the preliminary evaluation result;

[0045] Extract the key performance indicators from the preliminary evaluation results, and evaluate the load and deflection of the suspension bridge under the current working conditions using the formula:

[0046] ;

[0047] The structural evaluation analysis results are obtained, where represents the load and deflection of the structure, is the maximum stress value, is the expected offset, is the model adjustment coefficient, is the safety factor, is the fatigue factor.

[0048] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0049] In the present invention, by using vibration frequency data for in-depth analysis, potential structural defects can be identified early, significantly improving the early warning ability, reducing potential maintenance costs, extending the service life of the bridge, and the prediction and adjustment of the real-time cable force state ensure the stability and safety of the bridge under variable loads. By integrating environmental data to update the fluid-structure interaction 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 the decision support, making the bridge maintenance more efficient and ensuring its long-term structural safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is the system flow chart of the present invention;

[0051] Figure 2 is the evaluation flow chart of the stress state and structural health in the present invention;

[0052] Figure 3 is the acquisition flow chart of the vibration health index in the present invention;

[0053] Figure 4 is the real-time evaluation flow chart of the cable force state in the present invention;

[0054] Figure 5 is the acquisition flow chart of the cable force state parameters in the present invention;

[0055] Figure 6 is the flow chart for analyzing the structural impact on the suspension bridge tower column in the present invention;

[0056] Figure 7 is the acquisition flow chart of the environmental response simulation record in the present invention;

[0057] Figure 8 is the acquisition flow chart of the structural evaluation analysis results in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to 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 used to limit the present invention.

[0059] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by terms such as "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is 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 should not be construed as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0060] Embodiment: Please refer to Figure 1 , the present invention provides a technical solution: A force simulation analysis system for a suspension bridge includes:

[0061] 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 detects potential instability or damage signs to obtain vibration health indicators.

[0062] The cable force prediction and calibration module predicts the cable force state of the suspension bridge anchoring system based on the vibration health indicators, 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 by comparing with the data provided by the lateral pressure tension method to obtain cable force state parameters.

[0063] The environmental impact analysis module collects meteorological and geological data, including wind speed and seismic records, analyzes the structural impact on the suspension bridge towers, updates the parameters of the fluid-structure interaction model, and simulates the response of the towers under different environmental conditions to obtain environmental response simulation records. The parameters of the fluid-structure interaction model specifically include wind speed coefficient, seismic acceleration response coefficient, vibration damping ratio, and structural resistance coefficient, etc.

[0064] The structural performance evaluation module, based on the cable force state parameters and the environmental response simulation records, evaluates the structural performance of the suspension bridge through simulation analysis, combines the effects of vibration dampers and material fatigue characteristics, performs finite element analysis, and evaluates the load and deflection of the suspension bridge under the current working conditions to obtain structural evaluation analysis results.

[0065] The vibration health indicators include stability rating, damage detection index, and health monitoring flag. The cable force state parameters are specifically prediction error rate, real-time response level, and calibration efficiency. The environmental response simulation records include meteorological adaptability score, seismic response coefficient, and environmental adjustment index. The structural evaluation analysis results specifically refer to load tolerance, deflection response analysis result, and fatigue damage evaluation result.

[0066] Please refer to Figure 2 , the evaluation steps for the stress state and structural health are specifically as follows:

[0067] Based on the vibration frequency data of the steel cables of a suspension bridge, extract the frequency characteristic values and amplitude information, remove the noise through digital filtering, and obtain the processed frequency data;

[0068] After the vibration frequency data is collected by a vibration sensor, it is first stored in the form of a time series, and then denoising processing is carried out using digital filtering. By setting the cut-off frequency values of the high-pass filter and the low-pass filter, low-frequency and high-frequency noises are removed. The specific filtering parameters are dynamically adjusted according to the main frequency range of the vibration signal. After the denoising is completed, the data is further transformed from the time domain data to the frequency domain signal through Fourier transform, and the peak frequency and corresponding amplitude in the frequency spectrum are further analyzed. By data screening, the main frequency components and amplitude information of the vibration signal are retained to form the processed frequency data as the basis for subsequent calculations and analyses.

[0069] Based on the processed frequency data, using the principles of mechanics of materials, calculate the stress distribution and fatigue degree of the steel cable, using the formula:

[0070] ;

[0071] Obtain the stress analysis result , where, is the elastic modulus of the material, is the strain, is the proportionality coefficient, used to characterize the influence degree of the vibration frequency on the stress, is the maximum frequency obtained from the processed frequency data;

[0072] represents the elastic modulus of the material, obtained through material testing, which is 210 GPa, represents the strain obtained from actual measurement, which is 0.01, is the proportionality coefficient, taken as 0.1 GPa / Hz, is the maximum frequency obtained from the processed data, such as 5 Hz. During the calculation of , first calculate the product of the elastic modulus and the strain:

[0073] ;

[0074] Then add 1 to the product of the correction coefficient and the maximum frequency:

[0075] ;

[0076] Finally, obtain:

[0077] ;

[0078] The result shows that the stress state of the steel cable under the current conditions is 2.6 GPa, which helps to evaluate the health status of the steel cable and predict its lifespan.

[0079] Based on the stress analysis results, evaluate the remaining service life of the steel cable, judge its stability and safety under the current load, and obtain the steel cable health assessment record;

[0080] By introducing the material fatigue curve parameters, obtain the fatigue life intervals of the steel cable material under different stress amplitudes. Secondly, combine the actual stress environment and historical load data of the steel cable to calculate the joint distribution of the cycle number and stress amplitude to obtain the fatigue life loss rate. Then, compare the cumulative value of the loss rate with the material fatigue limit value to determine the remaining life. By analyzing the distribution pattern of the load spectrum, determine the safety risks faced by the steel cable, and form a steel cable health assessment record including the remaining life assessment and safety judgment.

[0081] Please refer to Figure 3 , and the specific steps for obtaining the vibration health index are as follows:

[0082] Based on the stress state and structural health, analyze potential instability or damage signs, and extract key risks to obtain the risk identification result;

[0083] Conduct a statistical distribution analysis on the stress data of the steel cable. Confirm the abnormal areas of stress change through piecewise fitting. Combine the historical load data in the structural health monitoring report. Use the distribution fitting and deviation calculation methods to identify the stress over-limit points and the change trend of the cumulative stress value, and segment and extract the high-risk areas in the steel cable fatigue cycle. At the same time, combine the vibration frequency change to identify and code the stress accumulation level and crack propagation area in the unstable area, obtain the risk factor extraction result and store it as a risk identification record.

[0084] Based on the risk identification result, compare it with the historical cases in the long-term monitoring data, and calculate the influence weight of the risk to obtain the risk weight information;

[0085] Based on the risk identification result, first extract the key risk factors and related parameters in the identification record, including the cumulative stress value and crack propagation information. Subsequently, screen the historical cases that match the current steel cable structure conditions from the long-term monitoring data, calculate the similarity and correlation between the risk factor parameters, and use the multi-dimensional matrix method to generate the influence weight matrix of each key factor. Generate the risk factor weight distribution result through step-by-step comparison. Finally, store the weight information as a risk weight report.

[0086] According to the risk weight information, use the formula:

[0087] ;

[0088] Calculate the total health index of the steel cable , the vibration health index is obtained, where represents the weight of the th risk, and represents the corresponding probability score;

[0089] The main risks of the steel cable include corrosion and fatigue. The weight of corrosion is , and the weight of fatigue is . The probability score of corrosion is , and the probability score of fatigue is . The calculated health index is:

[0090] ;

[0091] ;

[0092] ;

[0093] This result shows that considering the current corrosion and fatigue risks, the health index of the steel cable is 99.46, indicating that its structural health condition is good, but the potential impact of corrosion factors on future safety still needs to be noted.

[0094] Please refer to Figure 4 for the specific steps of real-time assessment of the cable force state:

[0095] Based on the vibration health index, collect real-time data obtained from the suspension bridge, including vibration amplitude and frequency characteristics, and update the vibration health index according to the real-time data to obtain the vibration analysis result;

[0096] Collect real-time data obtained from the suspension bridge, and collect vibration data in real time through sensors distributed at key positions of the bridge body, including vibration amplitude and frequency characteristics. Preprocess the data to remove environmental noise and equipment interference, use a high-pass filter to eliminate low-frequency interference and smooth high-frequency abnormal signals, store the data in a standard format and label the time stamp and source identifier, verify the integrity and consistency of the data through multi-parameter comparison, and update the vibration health index using the processed data. The index includes stability rating, damage detection index, etc., which reflects the health state of the bridge, and obtain the vibration analysis result.

[0097] Based on the vibration analysis result, use the correlation parameter between the vibration frequency and the cable force to predict the current cable force state level and obtain the cable force prediction value;

[0098] 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 ​​in 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.

[0099] Based on the predicted value of cable force and combined with monitoring data, the formula is adopted:

[0100] ;

[0101] Real-time assessment of cable tension status , among which, is the predicted value of cable force, represents the difference between the measured cable tension value and the predicted value, is the adjustment coefficient, 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;

[0102] At a specific time point, the predicted cable force is 850kN ( ), the measured cable force is 860kN, the difference is 10kN, adjustment factor Set to 0.5, then the adjusted cable tension state Calculated as:

[0103] ;

[0104] 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.

[0105] Please refer to Figure 5 , the specific steps for obtaining the cable force state parameters are:

[0106] 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;

[0107] Real-time data is obtained 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. Outliers and missing values ​​are removed using data cleaning methods, and the measurement results are calibrated. By converting the data into a unified unit and format, 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.

[0108] Based on the measured cable force data, compare it with the predicted cable force state, 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;

[0109] Compare it with the predicted cable force state, calculate the average deviation and maximum deviation between the predicted value and the measured value, statistically analyze the change trend under different working conditions, identify the 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 the structural monitoring of the suspension bridge.

[0110] Please refer to Figure 6 , and the steps for analyzing the structural impact on the tower column of the suspension bridge are as follows:

[0111] Through ground and satellite monitoring, collect meteorological and geological data, including wind speed and earthquake records, to obtain meteorological and geological data sets;

[0112] Use a ground meteorological station to collect wind speed data. The deployed sensor system measures multiple parameters including instantaneous wind speed and average wind speed. At the same time, combine satellite remote sensing technology to extract the atmospheric dynamics characteristics in the region, correct the wind speed data to unify its time base. The earthquake record data is obtained through the earthquake monitoring network, recording the magnitude, epicenter location and focal depth of the earthquake. Convert the data format to adapt to the analysis. Finally, through data denoising and timestamp calibration, form a unified meteorological and geological data set, providing basic data support for the structural impact analysis of the tower column of the suspension bridge.

[0113] Based on the meteorological and geological data sets, evaluate the impact of wind speed and seismic activity on the tower column of the suspension bridge, using the formula:

[0114] ;

[0115] Obtain the structural impact analysis result, where is the structural impact value on the tower column, represents the measured wind speed value, represents the intensity of seismic activity, and are the weight coefficients of wind speed and seismic intensity respectively, used to adjust the contribution of different environmental factors in the total impact calculation, is the proportionality coefficient, adjusted according to historical data, used to refine and adjust the accuracy of impact assessment;

[0116] Wind speed The measured value is 35 m / s, seismic intensity is 7.5 level, wind speed weight is 0.3, earthquake weight is 0.7, proportionality coefficient is set to 1.2, then the total influence of the structure is calculated as:

[0117] ;

[0118] ;

[0119] ;

[0120] This result shows that by adjusting the contributions of various parameters, the total influence of the wind speed and earthquake on the tower column structure under their combined action is 18.9, which helps to conduct further safety assessments and structural strengthening.

[0121] Please refer to Figure 7 , and the specific steps for obtaining the environmental response simulation records are as follows:

[0122] According to the structural influence analysis results of the suspension bridge tower column, adjust the parameters of the fluid-structure interaction model to obtain the model adjustment results;

[0123] Call the key output parameters in the structural influence analysis results, such as the influence values of wind speed and earthquake intensity, calculate the sensitivity of different parameters to the model response through numerical analysis methods, and then optimize the control variables in the model according to the sensitivity analysis results, including adjusting specific parameters such as dynamic viscosity coefficient, inertial parameters, and stress distribution coefficient. When optimizing, 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, and finally complete the model adjustment and obtain the optimized model parameters.

[0124] Based on the model adjustment results, conduct tower column simulations under different environmental conditions, using the formula:

[0125] ;

[0126] Obtain the environmental response simulation records, where represents the simulated environmental response value, used to describe the reaction of the tower column under given environmental conditions, is the adjusted structural influence value, is the proportionality coefficient, used to adjust the simulation output to ensure that the output response record is more consistent with the actual observation, is the power exponent, used to adjust the non-linear effect of the influence value to ensure that the model can adapt to various complex environmental conditions;

[0127] The adjusted structural influence value is 20, and the proportionality coefficient is set to 1.5, and the power exponent is 2, then the simulated environmental response value is calculated as:

[0128] ;

[0129] This result indicates that the simulated environmental response value is 600, which can be used to evaluate the safety and stability of the tower column under specific environmental conditions.

[0130] Please refer to Figure 8 , and the specific steps for obtaining the structural evaluation analysis results are as follows:

[0131] Based on the cable force state parameters and the simulation records of environmental responses, integrate the key data, and verify whether the data includes the tower column response information and the current environmental conditions to obtain the cable force and environment integration result;

[0132] Extract the key data related to the tower column response information, and check the current environmental conditions. By aligning the cable force data and the environmental data according to the time and space coordinates, filter out the data sets related to the current analysis scenario, perform outlier detection on the time series data, and remove the noise points affecting the accuracy in the data. Subsequently, normalize the cleaned data to maintain the unified dimension of each variable during subsequent calculations. By completing the above processing, obtain the cable force and environment integration result.

[0133] Based on the cable force and environment integration result, combined with the effect of the vibration damper and the material fatigue characteristics, perform finite element analysis, calculate the stress and strain responses, and obtain the preliminary evaluation result;

[0134] Select the damping parameters related to the effect of the vibration damper and the performance indicators related to material fatigue. By defining the stress-strain relationship model, construct a finite element analysis framework, calculate the mechanical response of the tower column under the influence of load and environment, refine the calculation process into multiple steps, including mesh generation, material parameter loading, boundary condition setting, and load application. Through automatic iterative solution, obtain the distribution data of stress and strain, and generate the preliminary evaluation result.

[0135] Extract the key performance indicators from the preliminary evaluation result, evaluate the load and offset conditions of the suspension bridge under the current working conditions, and use the formula:

[0136] ;

[0137] Obtain the structural evaluation analysis result, where represents the load and offset of the structure, is the maximum stress value obtained from the finite element analysis, is the expected offset, representing the expected structural offset caused by environmental factors such as wind load, earthquake, etc., is the model adjustment coefficient, is the safety factor, used to ensure the safety of the structural design, set based on industry standards or historical data, is the fatigue factor, used to evaluate the fatigue degree of the structural material under repeated loads, obtained based on material performance tests and previous data;

[0138] Offset calculation affected by wind load:

[0139] The offset of the suspension bridge under the action of wind can be estimated by the aerodynamic model, and the wind-induced deformation of the bridge can be calculated by the following formula:

[0140] ;

[0141] where, is the wind load, unit (calculated by the fluid mechanics formula from the wind speed ), is the bridge span, unit , is the elastic modulus of the material, unit , is the moment of inertia of the cross-section, unit (related to the shape of the bridge cross-section).

[0142] If the wind speed is known, the empirical formula can be used:

[0143] ;

[0144] to calculate the wind load , and then substitute it into the above formula to solve for .

[0145] Offset calculation affected by earthquake:

[0146] The structural displacement under the action of earthquake is usually obtained by earthquake response analysis, and the approximate calculation formula is:

[0147] ;

[0148] where, is the seismic spectral acceleration, unit , which can be obtained from the seismic design code or earthquake records, is the bridge span, unit , is the acceleration due to gravity .

[0149] Maximum stress MPa, expected offset , safety factor , fatigue factor , adjustment factor , then the load and offset are calculated as:

[0150] ;

[0151] This result shows that considering the maximum stress and the expected offset, as well as the adjustment of the safety factor and the fatigue factor, the load and offset of the structure are 356.48, reflecting the performance state of the structure under given conditions.

[0152] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall 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 of the suspension bridge tower, the fluid-solid coupling model parameters are adjusted to obtain the model adjustment results; 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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