A design and analysis system for reinforced concrete box arch bridges

Abstract

The present invention relates to the field of structural analysis technology, specifically to a reinforced concrete box arch bridge design and analysis system, the system comprising an environmental impact analysis module, a dynamic load simulation module, a damage risk analysis module and a life cycle cost analysis module. The present invention analyzes the environmental data of the construction area, takes environmental factors and actual use conditions into consideration, improves the practicality and accuracy of the design, analyzes the real-time impact of regional climate change on material properties, and combines the actual data of dynamic loads to make the design more in line with actual use conditions. Through damage risk assessment, potential fatigue and damage problems can be predicted in the design stage, and environmental adaptability is combined with structural damage risk results to predict the service life of the arch bridge, making the cost-benefit evaluation more comprehensive, enabling more effective cost control and design optimization, and improving the long-term sustainability and performance of infrastructure.

Description

Technical Field

[0001] The invention relates to the technical field of structural analysis, and in particular to a reinforced concrete box-type arch bridge design and analysis system. Background Art

[0002] The field of structural analysis technology focuses on the evaluation and prediction of the mechanical behavior of buildings and other structures. This field covers a variety of methods and techniques to determine the response of a structure when subjected to external forces. The core purpose of structural analysis is to ensure the safety, stability and economic efficiency of building designs. Analysis methods include linear and nonlinear analysis, static and dynamic analysis, and fatigue and fracture analysis. Technology helps engineers predict how a structure will behave under specific loads and environmental conditions, thereby optimizing its design and material use to ensure the long-term performance and durability of the structure.

[0003] Among them, the reinforced concrete box arch bridge design and analysis system is a system used to design and analyze reinforced concrete box arch bridges. The system uses computer-aided design and engineering analysis technology to simulate in detail the behavior of arch bridge structures under actual loads and environmental influences. The main uses include optimizing arch bridge design, predicting possible structural problems such as stress concentration and potential failure points, and evaluating the performance of different design schemes. With the assistance of the system, designers can improve the accuracy and efficiency of the design, reduce construction and maintenance costs, and ensure the safety and reliability of the structure.

[0004] Traditional analysis systems rely on standardized analysis models and general material data, and have limitations in dealing with specific environmental conditions and non-standard loads. Traditional methods fail to fully consider region-specific climate effects, such as the impact of freeze-thaw cycles on material properties, or the actual impact of actual traffic volume and wind speed changes on structural stress. This can cause the structure to perform poorly in the actual environment, increase maintenance costs and possible safety risks, and lead to inefficiencies in the design and construction process, excessive costs, and insufficient structural safety. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a reinforced concrete box arch bridge design and analysis system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a reinforced concrete box arch bridge design and analysis system, the system comprising:

[0007] The environmental impact analysis module collects climate data of the target bridge construction area, including temperature fluctuation values, water corrosivity and freeze-thaw cycle values, based on the use records of the design materials. It analyzes the deviation between the standard use environment of the design materials and the environment of the target construction area. Based on the environmental deviation, it evaluates the environmental adaptability of the design materials and obtains the environmental adaptability analysis results.

[0008] The dynamic load simulation module collects vehicle traffic data in the target bridge construction area, predicts the traffic volume after the bridge passes, and analyzes the stress distribution of the reinforced concrete box arch bridge under the current design parameters based on the predicted frequency and weight of vehicles crossing the bridge and the influence of wind speed and direction, identifies the stress concentration area, and obtains the stress analysis results.

[0009] The damage risk analysis module performs risk assessment on fatigue and damage of the bridge based on the stress analysis results, the number of stress concentration areas and the magnitude of stress, and the material strength, and generates a structural damage risk assessment result;

[0010] The life cycle cost analysis module predicts the service life of the arch bridge based on the structural damage risk assessment results and the environmental adaptability analysis results, according to the environmental adaptability of the material and the structural damage risk, and evaluates the benefits of the differentiated design schemes by combining the construction cost data and maintenance cost data of the differentiated reinforced concrete box arch bridge design schemes to obtain the design benefit analysis results.

[0011] The present invention is improved in that the method for analyzing the deviation between the standard use environment of the design material and the target construction area environment is:

[0012] Based on the target bridge construction area, collect climate data of the target construction area, including temperature fluctuation values, water corrosivity and freeze-thaw cycle values, and extract standard use environment parameters of current design materials to obtain environmental correlation data;

[0013] Based on the environmental association data, the formula:

[0014] ;

[0015] Calculate the environmental deviation and obtain the environmental deviation assessment result, where: Indicates environmental deviation, Indicates the total number of environmental parameters, Indicates The influence weight of each environmental parameter is Indicates the design material standard use environment The value of an environmental parameter, Indicates the target construction area. The actual measured value of the environmental parameter, Indicates The tolerance range of an environmental parameter.

[0016] The present invention is improved in that the step of obtaining the environmental adaptability analysis result is:

[0017] Based on the environmental deviation assessment results, according to the material design specifications and engineering experience, an environmental adaptability assessment threshold is set;

[0018] Based on the environmental adaptability assessment threshold, the formula is:

[0019] ;

[0020] Calculate the environmental adaptability index and obtain the environmental adaptability analysis results, where: is the base of natural logarithms, is the environmental adaptability index, It is environmental bias. is the environmental adaptability assessment threshold, is the scaling factor.

[0021] The present invention is improved in that the method for predicting the traffic flow after the bridge is passed is:

[0022] Based on the target bridge construction area, collect traffic flow data before the bridge is built, including daily vehicle data and type data, and obtain basic traffic flow data;

[0023] Based on the basic traffic data, the formula is:

[0024] ;

[0025] Calculate the predicted traffic flow and obtain the traffic flow prediction result, where: represents the predicted traffic flow, is the current traffic volume, represents the time factor, Refers to the seasonal factor, is the lane change influencing factor, , , and is the influence coefficient.

[0026] The present invention is improved in that the steps of obtaining the stress analysis results are:

[0027] Based on the vehicle flow prediction result, average vehicle weight data is extracted, and wind speed information of the target bridge construction area is detected to obtain stress correlation data;

[0028] Based on the stress correlation data, according to the design parameters of the current reinforced concrete box arch bridge, a stress analysis is performed on the bridge model through stress analysis software, and the stress response under the predicted traffic flow, average vehicle weight and wind force is simulated to obtain stress simulation information;

[0029] Based on the stress simulation information, the formula:

[0030] ;

[0031] Calculate the stress concentration in each area, where It is The stress value of each measuring point, is the average stress value of all measuring points. It is The weight coefficient of each measuring point, is the total number of measurement points in the area, is the stress concentration degree of the region;

[0032] Based on the stress concentration degree of each region, the stress concentration degree is compared with a preset concentration threshold, and the region with a concentration degree higher than the concentration threshold is marked as a stress concentration region to obtain a stress analysis result.

[0033] The present invention is improved in that the steps of obtaining the structural damage risk assessment result are:

[0034] Based on the stress analysis results, the number of stress concentration areas and the average stress magnitude of the stress concentration areas are collected to obtain damage risk association data;

[0035] Based on the damage risk correlation data, combined with the strength limit of the material, the formula is:

[0036] ;

[0037] Calculate the structural damage risk index and obtain the structural damage risk assessment result, where: is the structural damage risk index, is the number of stress concentration areas, is the average stress magnitude in the stress concentration area, is the ultimate strength of the material, is the safety factor, is the environmental impact factor.

[0038] The present invention is improved in that the method for predicting the service life of the arch bridge is:

[0039] Based on the structural damage risk assessment results and environmental adaptability analysis results, the structural damage risk index and environmental adaptability index are extracted, and the average service life data of similar reinforced concrete box arch bridges are collected to obtain life correlation information;

[0040] Based on the life association information, the formula:

[0041] ;

[0042] Calculate the predicted service life of the arch bridge and obtain the predicted result of the arch bridge service life, where: represents the predicted service life, represents the average service life of similar bridges. is the adjustment factor, is the scaling factor, is the environmental adaptability index, is the structural damage risk index, is the weight coefficient. The present invention is improved in that the steps for obtaining the design benefit analysis result are:

[0043] Based on the service life prediction result of the arch bridge, the construction cost data and maintenance cost data of the reinforced concrete box arch bridge design scheme are extracted to obtain benefit-related information;

[0044] Based on the benefit association information, through the formula:

[0045] ;

[0046] Calculate the economic benefits of the design scheme and obtain the design benefit analysis results, among which, Represents the economic benefits of the design solution, is the annual use value of the bridge, is the predicted useful life, is the initial construction cost, is the annual maintenance cost, is the adjustment factor.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by analyzing the environmental data of the construction area, environmental factors and actual use conditions are taken into consideration, thereby improving the practicality and accuracy of the design. By analyzing the real-time impact of regional climate change on material properties and combining the actual data of dynamic loads, the design is made more in line with actual use conditions. Through damage risk assessment, potential fatigue and damage problems can be predicted in the design stage. By combining environmental adaptability with structural damage risk results, the service life of the arch bridge is predicted, making the cost-benefit evaluation more comprehensive, enabling more effective cost control and design optimization, optimizing the cost-effectiveness of design and maintenance, and improving the long-term sustainability and performance of infrastructure. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a system flow chart of the present invention;

[0050] Figure 2 A flow chart for analyzing deviations in an environment for the present invention;

[0051] Figure 3 A flow chart for obtaining environmental adaptability analysis results for the present invention;

[0052] Figure 4 A flow chart of the present invention for predicting the traffic volume after the bridge is opened;

[0053] Figure 5 A flow chart for obtaining stress analysis results for the present invention;

[0054] Figure 6 A flow chart for obtaining structural damage risk assessment results for the present invention;

[0055] Figure 7 A flow chart for predicting the service life of an arch bridge according to the present invention;

[0056] Figure 8 A flow chart for obtaining design benefit analysis results for the present invention. DETAILED DESCRIPTION

[0057] 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.

[0058] 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.

[0059] See also Figure 1 The present invention provides a technical solution: a reinforced concrete box arch bridge design and analysis system, the system comprising:

[0060] The environmental impact analysis module collects climate data of the target bridge construction area, including temperature fluctuation values, water corrosivity and freeze-thaw cycle values, based on the use records of the design materials. It analyzes the deviation between the standard use environment of the design materials and the environment of the target construction area. Based on the environmental deviation, it evaluates the environmental adaptability of the design materials and obtains the environmental adaptability analysis results.

[0061] The dynamic load simulation module collects vehicle traffic data in the target bridge construction area, predicts the traffic volume after the bridge passes, and analyzes the stress distribution of the reinforced concrete box arch bridge under the current design parameters based on the predicted frequency and weight of vehicles crossing the bridge and the influence of wind speed and direction, identifies the stress concentration area, and obtains the stress analysis results.

[0062] The damage risk analysis module conducts risk assessment on fatigue and damage of bridges based on the stress analysis results, the number of stress concentration areas, the stress magnitude, and the material strength, and generates structural damage risk assessment results.

[0063] The life cycle cost analysis module is based on the structural damage risk assessment results and environmental adaptability analysis results. According to the environmental adaptability of the material and the structural damage risk, it predicts the service life of the arch bridge. It combines the construction cost data and maintenance cost data of the differentiated reinforced concrete box arch bridge design schemes to evaluate the benefits of the differentiated design schemes and obtain the design benefit analysis results.

[0064] The results of the environmental adaptability analysis include climate impact rating and material adaptability score, the results of the stress analysis include bridge stress distribution diagram and stress concentration area, the results of the structural damage risk assessment include fatigue damage probability information and dynamic response safety index, and the results of the design benefit analysis include predicted service life, maintenance cost information and overall economic benefit information.

[0065] See also Figure 2 ,The method for analyzing the deviation between the standard use environment of the design material and the target construction area environment is:

[0066] Based on the target bridge construction area, collect climate data of the target construction area, including temperature fluctuation values, water corrosivity and freeze-thaw cycle values, and extract standard use environment parameters of current design materials to obtain environmental correlation data;

[0067] Based on the environmental correlation data, through the formula:

[0068] ;

[0069] Calculate the environmental deviation and obtain the environmental deviation assessment result, where: Indicates environmental deviation, Indicates the total number of environmental parameters, Indicates The influence weight of each environmental parameter is Indicates the design material standard use environment The value of an environmental parameter, Indicates the target construction area. The actual measured value of the environmental parameter, Indicates The tolerance range of an environmental parameter.

[0070] formula:

[0071] ;

[0072] Parameter meaning and acquisition method:

[0073] It is The weight of each environmental parameter’s impact. The weight is determined based on the actual impact of each parameter on the material performance and can be obtained through expert evaluation or historical data analysis;

[0074] and Represents the standard use environment of design materials and the actual construction area environment. The value of an environmental parameter. The parameter value is usually obtained through on-site monitoring or preset standards;

[0075] It is The tolerance range of each environmental parameter is preset according to the tolerance range of the material.

[0076] Calculation example:

[0077] There are three environmental parameters set: temperature fluctuation range, water corrosivity, and freeze-thaw cycle. The standard environmental parameters are standard temperature fluctuation range = 50, standard water corrosivity = 7, standard freeze-thaw cycle = 100, and the actual environmental parameters are actual temperature fluctuation range = 100, actual water corrosivity = 5, and actual freeze-thaw cycle = 150. The weights are set as follows: , , .

[0078] The tolerance range of each parameter is 50, 2, and 50 respectively.

[0079] Formula application:

[0080] ;

[0081] ;

[0082] ;

[0083] Calculation results Indicates that the actual environmental conditions are slightly incompatible with the standard environment. Negative values ​​indicate that the actual environment has a slight adverse effect on the material.

[0084] See also Figure 3 , the steps to obtain the environmental adaptability analysis results are:

[0085] Based on the environmental deviation assessment results, set the environmental adaptability assessment threshold according to the material design specifications and engineering experience;

[0086] Based on the environmental adaptability assessment threshold, the formula is:

[0087] ;

[0088] Calculate the environmental adaptability index and obtain the environmental adaptability analysis results, where: is the base of natural logarithms, is the environmental adaptability index, It is environmental bias. is the environmental adaptability assessment threshold, is the scaling factor.

[0089] formula:

[0090] ;

[0091] Parameter details and how to obtain them:

[0092] : Environmental adaptability assessment threshold, used to adjust the model's sensitivity to environmental deviations. It is set according to the material's design specifications and previous engineering experience, usually by material scientists or engineers based on historical data and expected environmental conditions;

[0093] : Scaling factor, used to adjust the intensity of the deviation effect to adapt to different engineering requirements and environmental standards. Usually determined by the analyst based on project requirements and material properties, and may be adjusted based on simulation results or experience feedback from previous projects;

[0094] : Environmental deviation, calculated in the previous step.

[0095] Calculation example:

[0096] Set the following parameters: , , .

[0097] Formula application:

[0098] ;

[0099] ;

[0100] ;

[0101] ;

[0102] ;

[0103] Calculation results Environmental adaptability index The calculated result is approximately 1.81, which is a relatively high value. The surface material has good adaptability and can adapt to the current environment.

[0104] See also Figure 4 , the method to predict the traffic flow after the bridge is open is:

[0105] Based on the target bridge construction area, collect traffic flow data before the bridge is built, including daily vehicle data and type data, and obtain basic traffic flow data;

[0106] Based on the basic traffic data, through the formula:

[0107] ;

[0108] Calculate the predicted traffic flow and obtain the traffic flow prediction result, where: represents the predicted traffic flow, is the current traffic volume, represents the time factor, Refers to the seasonal factor, is the lane change influencing factor, , , and is the influence coefficient.

[0109] formula:

[0110] ;

[0111] Parameter details and how to obtain them:

[0112] : Current traffic flow, that is, the actual traffic flow observed before the bridge was built. Obtained directly from the traffic monitoring system or through traffic flow survey;

[0113] : Time factor, a time variable that affects traffic flow, such as different time periods of a day. It is derived based on the daily periodicity analysis of traffic flow;

[0114] : Seasonal factor, which takes into account the impact of seasonal changes on traffic flow. It is obtained by analyzing traffic data statistics in different seasons;

[0115] : The lane change influencing factor of the bridge considers the impact of the change in the number of lanes on the traffic flow. It is obtained from the analysis of the bridge design parameters and their expected impact on the traffic flow;

[0116] , , and : Influence coefficient, which reflects the relative impact of different variables on the predicted traffic flow. It is obtained through statistical analysis of historical traffic flow data and regression model fitting.

[0117] Calculation example:

[0118] Set the parameter values ​​as follows: Vehicles / hour, representing the current traffic volume before the bridge is built, , which represents the impact of target time on traffic flow. , indicating that the season after completion is the same as the current season. Two lanes were added. The coefficients were set as: , , , .

[0119] Formula application:

[0120] ;

[0121] ;

[0122] ;

[0123] ;

[0124] Predicted traffic flow It is 675 vehicles / hour, indicating that after considering the time factor and the impact of the new lanes, the expected traffic volume will increase.

[0125] See also Figure 5 , the steps to obtain the stress analysis results are:

[0126] Based on the traffic flow prediction results, the average weight data of the vehicles is extracted, and the wind speed information of the target bridge construction area is detected to obtain stress correlation data;

[0127] Based on stress correlation data and the design parameters of the current reinforced concrete box arch bridge, stress analysis is performed on the bridge model through stress analysis software to simulate the stress response under the predicted traffic flow, average vehicle weight and wind force, and obtain stress simulation information;

[0128] Based on the stress simulation information, the formula:

[0129] ;

[0130] Calculate the stress concentration in each area, where It is The stress value of each measuring point, is the average stress value of all measuring points. It is The weight coefficient of each measuring point, is the total number of measurement points in the area, is the stress concentration degree of the region;

[0131] Based on the stress concentration degree of each area, it is compared with the preset concentration threshold, and the area with a concentration degree higher than the concentration threshold is marked as a stress concentration area to obtain the stress analysis result.

[0132] formula:

[0133] ;

[0134] Parameter details and how to obtain them:

[0135] : No. The stress value of the area is simulated by stress simulation software to simulate the stress response under the predicted traffic flow, average vehicle weight and wind force;

[0136] : The average value of stress values ​​at all measuring points. The data of all individual stress points are aggregated and their average value is calculated to provide a reference benchmark for comparison with the actual stress of each measuring point.

[0137] : No. The weight coefficients of the measuring points are determined based on the evaluation of the structural analyst and the analysis of historical data, with emphasis on those areas that have a greater impact on the structural safety;

[0138] : The total number of measurement points in the area, preset according to the simulation progress.

[0139] Calculation example:

[0140] Set the target bridge area to have three measuring points, and the corresponding stress values They are 100MPa, 120MPa, and 80MPa respectively. Set the average stress value 100MPa. Weight They are 1.0, 1.5, and 0.5 respectively.

[0141] calculate :

[0142] ;

[0143] ;

[0144] ;

[0145] ;

[0146] The calculated result is 20, which is a large value, indicating that there is potential stress concentration in the target area of ​​the bridge.

[0147] See also Figure 6 , the steps to obtain the structural damage risk assessment results are:

[0148] Based on the stress analysis results, the number of stress concentration areas and the average stress magnitude in the stress concentration areas are collected to obtain damage risk correlation data;

[0149] Based on the damage risk correlation data and combined with the strength limit of the material, the formula is:

[0150] ;

[0151] Calculate the structural damage risk index and obtain the structural damage risk assessment result, where: is the structural damage risk index, is the number of stress concentration areas, is the average stress magnitude in the stress concentration area, is the ultimate strength of the material, is the safety factor, is the environmental impact factor.

[0152] formula:

[0153] ;

[0154] Parameter details and how to obtain them:

[0155] : The number of stress concentration areas, obtained by the previous step;

[0156] : The average stress magnitude of the stress concentration area, which represents the average stress value of all stress concentration areas. The sum of the stress values ​​of all stress concentration areas is divided by the total number of areas. ;

[0157] : The strength limit of the material, that is, the maximum stress that the material can withstand, based on data provided by the material supplier or recognized engineering material standards;

[0158] : Safety factor, used to adjust the conservatism of risk assessment, determined based on historical data, design specifications and engineering experience;

[0159] :Environmental impact coefficient, which reflects the degree of increase in the risk of structural damage caused by environmental factors. It analyzes environmental conditions such as temperature, humidity, chemical corrosion and other data, and is set by engineers based on experience.

[0160] Calculation example:

[0161] The parameters are set as follows: Number of stress concentration areas , the average stress magnitude MPa, material strength limit MPa, safety factor , Environmental Impact Factor .

[0162] Calculating the structural damage risk index :

[0163] ;

[0164] ;

[0165] ;

[0166] ;

[0167] Calculation results The structural damage risk index is high, indicating that the bridge will face a greater risk of damage under the current stress conditions and environmental influences. The results can help engineers evaluate whether reinforcement measures or adjustments to design strategies are needed.

[0168] See also Figure 7 , the method for predicting the service life of an arch bridge is:

[0169] Based on the results of structural damage risk assessment and environmental adaptability analysis, the structural damage risk index and environmental adaptability index are extracted, and the average service life data of similar reinforced concrete box arch bridges are collected to obtain life correlation information;

[0170] Based on the life association information, the formula is:

[0171] ;

[0172] Calculate the predicted service life of the arch bridge and obtain the predicted result of the arch bridge service life, where: represents the predicted service life, represents the average service life of similar bridges. is the adjustment factor, is the scaling factor, is the environmental adaptability index, is the structural damage risk index, is the weight coefficient.

[0173] formula:

[0174] ;

[0175] Parameter details and how to obtain them:

[0176] : Environmental adaptability index, calculated by the previous steps;

[0177] : Structural damage risk index, calculated by the previous steps;

[0178] : Weight coefficient, used to adjust the structural damage risk index The degree of influence in the prediction formula is preset according to the needs, balancing the sensitivity and practicality of the model;

[0179] : The average service life of similar bridges, obtained through industry statistics or case studies of similar projects;

[0180] : Scaling factor, adjust the environmental adaptability index The influence of the parameters is determined through parameter optimization and model calibration process to ensure the accuracy of the prediction model;

[0181] : Adjustment coefficient, the coefficient for scaling the entire prediction formula result, is adjusted according to the actual application effect of the model to achieve the expected prediction effect.

[0182] Calculation example:

[0183] The setting parameters are as follows: Environmental adaptability index , structural damage risk index , average service life Year, scaling factor , global adjustment coefficient , weight coefficient .

[0184] calculate :

[0185] ;

[0186] ;

[0187] ;

[0188] ;

[0189] ;

[0190] ;

[0191] The estimated service life of the bridge is approximately The results showed that the expected service life of the bridge was reduced under given environmental adaptability and structural damage risk.

[0192] See also Figure 8 , the steps to obtain the design benefit analysis results are:

[0193] Based on the service life prediction results of the arch bridge, the construction cost data and maintenance cost data of the reinforced concrete box arch bridge design scheme are extracted to obtain the benefit-related information;

[0194] Based on the benefit association information, the formula is:

[0195] ;

[0196] Calculate the economic benefits of the design scheme and obtain the design benefit analysis results, among which, Represents the economic benefits of the design solution, is the annual use value of the bridge, is the predicted useful life, is the initial construction cost, is the annual maintenance cost, is the adjustment factor.

[0197] formula:

[0198] ;

[0199] Parameter details and how to obtain them:

[0200] : The annual use value of the bridge, the direct or indirect economic value generated by the bridge each year. The estimate can be based on historical data analysis, market research or the economic benefits of similar projects, such as tolls, reduced fuel consumption due to time savings, etc.;

[0201] : Predicted service life, calculated in the previous step;

[0202] : Initial construction cost, which is the total amount of money required to complete the construction of the bridge, including materials, labor and other direct costs, calculated through the project budget, bidding documents or industry standard cost data;

[0203] : Annual maintenance cost, which is the maintenance cost required each year during the service life of the bridge, based on historical maintenance records and expected maintenance plans, taking into account factors such as material aging and environmental impact;

[0204] :Adjustment factor, annual maintenance cost adjustment factor The adjustment factor takes into account the changes in maintenance costs that may be caused by different designs or materials. It is derived from historical data analysis and expert opinions, reflecting the potential impact of different design options on maintenance costs.

[0205] Calculation example:

[0206] Set the parameters as follows: Yuan / year. Year, Yuan, Yuan / year, .

[0207] calculate :

[0208] ;

[0209] ;

[0210] ;

[0211] ;

[0212] ;

[0213] The value of is about 0.656, indicating that for every 1 yuan invested, an economic return of about 0.66 yuan can be obtained. This shows that the design is feasible in terms of economic benefits, but the rate of return is not particularly high. It can be compared with the cost-effectiveness of other design options, providing a quantitative perspective to help evaluate and compare the long-term economic sustainability of different design options.

[0214] 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 reinforced concrete box arch bridge design and analysis system, characterized in that: The system comprises: The environmental impact analysis module collects climate data of the target bridge construction area, including temperature fluctuation values, water corrosivity and freeze-thaw cycle values, based on the use records of the design materials. It analyzes the deviation between the standard use environment of the design materials and the environment of the target construction area. Based on the environmental deviation, it evaluates the environmental adaptability of the design materials and obtains the environmental adaptability analysis results. The method for analyzing the deviation between the standard use environment of the design material and the target construction area environment is: Based on the target bridge construction area, collect climate data of the target construction area, including temperature fluctuation values, water corrosivity and freeze-thaw cycle values, and extract standard use environment parameters of current design materials to obtain environmental correlation data; Based on the environmental association data, the formula: ； Calculate the environmental deviation and obtain the environmental deviation assessment result, where: Indicates environmental deviation, Indicates the total number of environmental parameters, Indicates The influence weight of each environmental parameter is Indicates the design material standard use environment The value of an environmental parameter, Indicates the target construction area. The actual measured value of the environmental parameter, Indicates The tolerance range of each environmental parameter; The steps for obtaining the environmental adaptability analysis results are: Based on the environmental deviation assessment results, according to the material design specifications and engineering experience, an environmental adaptability assessment threshold is set; Based on the environmental adaptability assessment threshold, the formula is: ； Calculate the environmental adaptability index and obtain the environmental adaptability analysis results, where: is the base of natural logarithms, is the environmental adaptability index, It is environmental bias. is the environmental adaptability assessment threshold, is the scaling factor; The dynamic load simulation module collects vehicle traffic data in the target bridge construction area, predicts the traffic volume after the bridge passes, and analyzes the stress distribution of the reinforced concrete box arch bridge under the current design parameters based on the predicted frequency and weight of vehicles crossing the bridge and the influence of wind speed and direction, identifies the stress concentration area, and obtains the stress analysis results. The damage risk analysis module performs risk assessment on fatigue and damage of the bridge based on the stress analysis results, the number of stress concentration areas and the magnitude of stress, and the material strength, and generates a structural damage risk assessment result; The steps for obtaining the structural damage risk assessment results are as follows: Based on the stress analysis results, the number of stress concentration areas and the average stress magnitude of the stress concentration areas are collected to obtain damage risk association data; Based on the damage risk correlation data, combined with the strength limit of the material, the formula is: ； Calculate the structural damage risk index and obtain the structural damage risk assessment result, where: is the structural damage risk index, is the number of stress concentration areas, is the average stress magnitude in the stress concentration area, is the ultimate strength of the material, is the safety factor, is the environmental impact coefficient; The life cycle cost analysis module predicts the service life of the arch bridge based on the structural damage risk assessment results and the environmental adaptability analysis results, according to the environmental adaptability of the material and the structural damage risk, and evaluates the benefits of the differentiated design schemes by combining the construction cost data and maintenance cost data of the differentiated reinforced concrete box arch bridge design schemes to obtain the design benefit analysis results; The method for predicting the service life of an arch bridge is: Based on the structural damage risk assessment results and environmental adaptability analysis results, the structural damage risk index and environmental adaptability index are extracted, and the average service life data of similar reinforced concrete box arch bridges are collected to obtain life correlation information; Based on the life association information, the formula: ； Calculate the predicted service life of the arch bridge and obtain the predicted result of the arch bridge service life, where: represents the predicted service life, represents the average service life of similar bridges. is the adjustment factor, is the scaling factor, is the environmental adaptability index, is the structural damage risk index, is the weight coefficient.

2. The reinforced concrete box arch bridge design and analysis system according to claim 1 is characterized in that: The method for predicting the traffic flow after the bridge is passed is: Based on the target bridge construction area, collect traffic flow data before the bridge is built, including daily vehicle data and type data, and obtain basic traffic flow data; Based on the basic traffic data, the formula is: ； Calculate the predicted traffic flow and obtain the traffic flow prediction result, where: represents the predicted traffic flow, is the current traffic volume, represents the time factor, Refers to the seasonal factor, is the lane change influencing factor, , , and is the influence coefficient.

3. The reinforced concrete box arch bridge design and analysis system according to claim 2 is characterized in that: The steps for obtaining the stress analysis results are: Based on the vehicle flow prediction result, average vehicle weight data is extracted, and wind speed information of the target bridge construction area is detected to obtain stress correlation data; Based on the stress correlation data, according to the design parameters of the current reinforced concrete box arch bridge, a stress analysis is performed on the bridge model through stress analysis software, and the stress response under the predicted traffic flow, average vehicle weight and wind force is simulated to obtain stress simulation information; Based on the stress simulation information, the formula: ； Calculate the stress concentration in each area, where It is The stress value of each measuring point, is the average stress value of all measuring points, It is The weight coefficient of each measuring point, is the total number of measurement points in the area, is the stress concentration degree of the region; Based on the stress concentration degree of each region, the stress concentration degree is compared with a preset concentration threshold, and the region with a concentration degree higher than the concentration threshold is marked as a stress concentration region to obtain a stress analysis result.

4. The reinforced concrete box arch bridge design and analysis system according to claim 1 is characterized in that: The steps for obtaining the design benefit analysis results are as follows: Based on the service life prediction result of the arch bridge, the construction cost data and maintenance cost data of the reinforced concrete box arch bridge design scheme are extracted to obtain benefit-related information; Based on the benefit association information, through the formula: ； Calculate the economic benefits of the design scheme and obtain the design benefit analysis results, among which, Represents the economic benefits of the design solution, is the annual use value of the bridge, is the predicted useful life, is the initial construction cost, is the annual maintenance cost, is the adjustment factor.

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