Concrete arch bridge arch foot node stress monitoring method and system

Abstract

The invention provides a concrete arch bridge arch foot node stress monitoring method and system, and relates to the technical field of stress detection.The method comprises the steps that a wind load influence coefficient is determined according to first stress data, not including vehicle loads, in historical monitoring data; determining a vehicle load influence coefficient according to second stress data not including a wind load in historical monitoring data, and obtaining current stress monitoring data, current environmental wind characteristic information and current vehicle information when determining a current stress; and according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information and the current vehicle information, determining the current stress of the arch foot fulcrum. In this way, the influence of the wind load and the vehicle load can be eliminated in the current stress monitoring data, the accurate current stress of the arch foot fulcrum is obtained, and the effect of improving the accuracy of the current stress of the arch foot fulcrum can be achieved.

Description

Technical Field

[0001] The present application relates to the field of stress detection technology, and in particular to a method and system for monitoring stress at the arch foot nodes of a concrete arch bridge. Background Art

[0002] A steel tube concrete arch bridge is an arch-shaped load-bearing bridge whose arch ribs are made of steel tube concrete. Its main feature is that concrete is filled in the steel tube. Due to the hoop effect of the steel tube, the concrete is in a three-dimensional compressive state, which can significantly improve the compressive strength of the concrete. Due to the advantages of good economy and large spanning capacity, steel tube concrete arch bridges have been rapidly promoted and applied in my country. The arch foot node is a key part of the arch bridge, bearing huge loads. Stress concentration may cause cracks or damage, affecting the overall safety of the bridge. Through stress detection, potential problems can be discovered in time to prevent accidents.

[0003] In the prior art, stress monitoring of the arch foot node of an arch bridge is only performed based on the actual stress of the arch foot node. The bridge structure performance is analyzed through this measurement data. In the prior art, misjudgment is prone to occur in the bridge stress monitoring process, and then wrong conclusions are drawn, affecting the safety of the bridge. Summary of the invention

[0004] The present application provides a method and system for monitoring stress at the arch foot nodes of a concrete arch bridge, which can improve the accuracy of monitoring stress at the arch foot nodes.

[0005] The present application provides a method for monitoring stress at an arch foot node of a concrete arch bridge, comprising: Obtaining historical monitoring data, current stress monitoring data corresponding to the current time point, current environmental wind characteristic information, and current vehicle information, wherein the historical monitoring data includes historical stress monitoring data, historical environmental wind characteristic information, and historical vehicle information corresponding to each time point within a preset time period before the current time point; Determining first stress data in the historical monitoring data, and determining a wind load influence coefficient according to the first stress data; the first stress data is data in the historical stress monitoring data that does not include vehicle loads; Determining second stress data in the historical monitoring data, and determining a vehicle load influence coefficient according to the second stress data; the second stress data is data in the historical stress monitoring data that does not include wind load; The current stress of the arch foot support is determined according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information.

[0006] In one embodiment of the present application, determining first stress data in the historical monitoring data, and determining a wind load influence coefficient according to the first stress data includes: Determine a car-free period in the historical monitoring data, and determine the historical stress monitoring data and historical environmental wind characteristic information corresponding to the car-free period as first stress data; The wind load influence coefficient is determined according to historical stress monitoring data and historical environmental wind characteristic information of the first stress data.

[0007] In one embodiment of the present application, the wind load influence coefficient is determined according to the historical stress monitoring data and the historical environmental wind characteristic information of the first stress data, including: The least square method is used to fit the historical stress monitoring data of the first stress data and the historical environmental wind characteristic information to obtain the wind load influence coefficient.

[0008] In one embodiment of the present application, a period in which the number of vehicles in the historical stress monitoring data is less than a first preset number and the wind speed is greater than or equal to the first preset wind speed is determined as a vehicle-free period.

[0009] In one embodiment of the present application, determining second stress data in the historical monitoring data, and determining a vehicle load influence coefficient according to the second stress data, includes: Determine a windless period in the historical monitoring data, and determine the historical stress monitoring data and historical vehicle information corresponding to the windless period as second stress data; The vehicle load influence coefficient is determined according to the historical stress monitoring data and historical vehicle information of the second stress data.

[0010] In one embodiment of the present application, the vehicle load influence coefficient is determined according to the historical stress monitoring data and historical vehicle information of the second stress data, including: Linear fitting is performed on historical stress monitoring data and historical vehicle information of the second stress data to obtain the vehicle load influence coefficient.

[0011] In one embodiment of the present application, a period in which the number of vehicles in the historical stress monitoring data is greater than or equal to a second preset number and the wind speed is less than the second preset wind speed is determined as a windless period.

[0012] In one embodiment of the present application, the current stress of the arch foot support is determined according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information, including: Determining the current environmental wind load according to the wind load influence coefficient and the environmental wind characteristic information; Determining a current vehicle load according to the vehicle load influence coefficient and the vehicle information; The current stress of the arch foot support is determined according to the current stress monitoring data, the current environmental wind load, and the current vehicle load.

[0013] In one embodiment of the present application, the method further includes: According to the historical monitoring data, the prestressing force of the concrete arch bridge is adjusted, and / or, Special vehicle information is obtained, and based on the historical monitoring data and the special vehicle information, the passage time of the special vehicle is determined and the prestress of the concrete arch bridge is adjusted.

[0014] To achieve the above-mentioned purpose and other related purposes, the present application provides a concrete arch bridge arch foot node stress monitoring system, comprising: A data acquisition module is used to acquire historical monitoring data, current stress monitoring data corresponding to the current time point, current environmental wind characteristic information, and current vehicle information. The historical monitoring data includes historical stress monitoring data, historical environmental wind characteristic information, and historical vehicle information corresponding to each time point within a preset time period before the current time point; A first data determination module, used to determine first stress data in the historical monitoring data, and determine a wind load influence coefficient according to the first stress data; the first stress data is data in the historical stress monitoring data that does not include vehicle loads; A second data determination module is used to determine second stress data in the historical monitoring data, and determine a vehicle load influence coefficient according to the second stress data; the second stress data is data in the historical stress monitoring data that does not include wind load; The stress determination module is used to determine the current stress of the arch foot support according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information.

[0015] As described above, the present application provides a method and system for monitoring stress at the arch foot node of a concrete arch bridge, which has the following beneficial effects: A method for monitoring stress of the arch foot node of a concrete arch bridge in the present application determines the wind load influence coefficient according to the first stress data that does not include the vehicle load in the historical monitoring data, and determines the vehicle load influence coefficient according to the second stress data that does not include the wind load in the historical monitoring data. When determining the current stress, the current stress monitoring data, the current environmental wind characteristic information, and the current vehicle information are first obtained, and the current stress of the arch foot support is determined according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information. In this way, the influence of wind load and vehicle load can be eliminated in the current stress monitoring data, and a more accurate current stress of the arch foot support can be obtained, which can achieve the effect of improving the accuracy of the current stress of the arch foot support.

[0016] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings: Figure 1 is a flow chart of a method for monitoring stress at an arch foot node of a concrete arch bridge shown in an exemplary embodiment of the present application; Figure 2 It is a structural block diagram of a stress monitoring device for a concrete arch bridge arch foot node shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0018] The following will describe the implementation methods of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific implementation methods, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, not for limiting the scope of protection of the present application.

[0019] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application, and thus the drawings only show components related to the present application rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed at will, and the component layout may also be more complicated.

[0020] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0021] See also Figure 1 , Figure 1 FIG. 1 is a flowchart of a method for monitoring stress at an arch foot node of a concrete arch bridge, shown in an exemplary embodiment of the present application. Figure 1 It can be seen that the stress monitoring method of the arch foot node of the concrete arch bridge can include: Step S110, obtaining historical monitoring data, current stress monitoring data corresponding to the current time point, current environmental wind characteristic information, and current vehicle information.

[0022] Among them, the historical monitoring data includes historical stress monitoring data, historical environmental wind characteristic information, and historical vehicle information corresponding to each time point in a preset time period before the current time point.

[0023] In one embodiment of the present application, historical monitoring data can be obtained. Stress sensors can be installed at the arch foot nodes of concrete arch bridges to obtain historical stress monitoring data, which includes wind loads and / or vehicle loads. Wind loads are lateral dynamic loads acting on arch bridges. Wind loads will generate lateral forces on the arch ring and bridge deck of the arch bridge, and these forces are transmitted to the arch foot nodes through the arch rings. Vehicle loads are the main vertical dynamic loads borne by arch bridges. Vehicle loads are concentrated loads. When acting on the bridge deck, they will be transmitted to the arch ring through the bridge deck system and finally to the arch foot nodes. Both wind loads and vehicle loads are variable loads, which are short-term or transient loads. The evaluation of structural durability and stability requires reference to the permanent loads of the arch foot nodes of concrete arch bridges. Therefore, stress monitoring data including wind loads and vehicle loads cannot accurately reflect the stress of the arch foot nodes of concrete arch bridges, and it is necessary to separate wind loads and vehicle loads in the stress monitoring data.

[0024] A concrete arch bridge is a bridge with an arch structure as the main load-bearing component. Its characteristic is that the load is transferred from the arch ring to the arch foot through the geometric shape of the arch, and then from the arch foot to the foundation. The arch foot node is the key stress-bearing part of the concrete arch bridge, and its stress state directly affects the safety and durability of the bridge. By monitoring the stress of the arch foot node of the concrete arch bridge, potential safety hazards can be discovered in time to avoid catastrophic accidents of the bridge. Long-term stress monitoring can evaluate the health status of the concrete arch bridge and provide a basis for maintenance and reinforcement.

[0025] Environmental wind characteristic information may include wind speed, and historical environmental wind characteristic information and current environmental wind characteristic information both belong to environmental wind characteristic information. Vehicle information may include vehicle speed and vehicle weight, and historical vehicle information and current vehicle information both belong to vehicle information. Vehicle weight can be obtained through a weight sensor installed on the concrete arch bridge pavement, and vehicle speed can be identified by devices such as cameras. By associating weight sensors and cameras, the speed and weight of the same vehicle can be associated.

[0026] It should be noted that the preset time period can be determined by the operator according to the actual situation. The preset time period can also be determined according to the service time of the concrete arch bridge, and the preset time period is positively correlated with the service time of the concrete arch bridge. After the concrete arch bridge is put into use, the longer the service time is, the smaller the influence of factors such as the settlement of the bridge on the wind load and the vehicle load is. The slight settlement of the bridge is mainly concentrated in the first few years after it is put into use, that is, the settlement of the bridge and the creep of concrete develop rapidly in the early stage and slow down in the later stage. In the early stage of the bridge use, the preset time period can be shorter, such as 1 day; in the later stage of the bridge use, the preset time period can be longer, such as 10 days.

[0027] In one embodiment of the present application, current stress monitoring data, environmental wind characteristic information, and current vehicle information can be obtained. When it is necessary to monitor the stress of the arch foot node of a concrete arch bridge, the current stress monitoring data can be obtained through a stress monitoring sensor installed at the arch foot node of the concrete arch bridge, the current environmental wind characteristic information can be obtained through a wind speed sensor, and the vehicle weight at each moment can be obtained through a weight sensor installed on the bridge deck of the concrete arch bridge. and impact frequency It can also be pre-calibrated.

[0028] It should be noted that the steps of the method for monitoring stress at the arch foot node of a concrete arch bridge provided in the embodiment of the present application can be executed by a terminal, a server or a server cluster.

[0029] Step S120: determining first stress data in the historical monitoring data, and determining a wind load influence coefficient according to the first stress data.

[0030] The first stress data is the data of the historical stress monitoring data that only includes the influence of wind load.

[0031] In one embodiment of the present application, the first stress data can be determined in the historical monitoring data, and the wind load influence coefficient can be determined based on the first stress data. Since the first stress data is data that only includes wind loads in the historical stress monitoring data, it can be approximately considered that the influence of the first stress data on the stress of the arch foot node of the concrete arch bridge is only the influence of wind loads, and the influence of vehicle loads is not included in the first stress data.

[0032] In one embodiment, the process of determining the first stress data in the historical monitoring data in step S120 and determining the wind load influence coefficient based on the first stress data may include: determining a car-free period in the historical monitoring data, and determining the historical stress monitoring data and historical environmental wind characteristic information corresponding to the car-free period as the first stress data; determining the wind load influence coefficient based on the historical stress monitoring data and historical environmental wind characteristic information of the first stress data.

[0033] In a possible implementation, the operator may preset a car-free time period, for example, the time period from 1:00 to 2:00 in the morning may be determined as a car-free time period.

[0034] In another possible implementation, a period in the historical stress monitoring data in which the number of vehicles is less than a first preset number and the wind speed is greater than or equal to the first preset wind speed may be determined as a vehicle-free period.

[0035] The process of determining the wind load influence coefficient may include: fitting the historical stress monitoring data of the first stress data and the historical environmental wind characteristic information using the least square method to obtain the wind load influence coefficient.

[0036] For example, according to Bernoulli's principle, the stress fluctuation caused by wind load is linearly related to the square of wind speed. According to the historical stress monitoring data of the first stress data and the synchronous historical environmental wind characteristic information, the wind load influence coefficient is obtained by least squares fitting. The wind load influence coefficient may include: ; in, represents the wind load influence coefficient, express Historical stress monitoring data at all times, express Ambient wind characteristics information at each moment.

[0037] It should be noted that the stress fluctuation caused by wind load can be expressed as: ; in, express Stress fluctuations caused by wind loads at all times.

[0038] Step S130, determining second stress data in the historical monitoring data, and determining the vehicle load influence coefficient according to the second stress data.

[0039] The second stress data is the data including only the influence of vehicle load in the historical stress monitoring data.

[0040] In one embodiment of the present application, the second stress data can be determined in the historical monitoring data, and the vehicle load influence coefficient can be determined according to the second stress data. It can be approximately considered that the influence of the second stress data on the stress of the concrete arch bridge arch foot node is only the influence of the vehicle load.

[0041] In one embodiment, the process of determining the second stress data in the historical monitoring data in step S130 and determining the vehicle load influence coefficient based on the second stress data may include: determining a windless period in the historical monitoring data, and determining the historical stress monitoring data and historical vehicle information corresponding to the windless period as the second stress data; determining the vehicle load influence coefficient based on the historical stress monitoring data and historical vehicle information of the second stress data.

[0042] In one possible implementation, a period in the historical stress monitoring data when the wind speed is less than a second preset wind speed can be determined as a windless period, or a period in the historical stress monitoring data when the number of vehicles is greater than or equal to the second preset number and the wind speed is less than the second preset wind speed can be determined as a windless period.

[0043] The process of determining the wind load influence coefficient may include: performing linear fitting on historical stress monitoring data and historical vehicle information of the second stress data to obtain the vehicle load influence coefficient.

[0044] Exemplarily, the stress impact caused by the vehicle load is a transient signal, which can be expressed as: ; in, express Stress fluctuations caused by vehicle loads at all times, Indicates The peak strain of each vehicle, represents the attenuation coefficient, represents the impact frequency, Indicates The time it takes for a vehicle to enter the bridge.

[0045] It should be noted that the time it takes for vehicles to pass can be recorded by installing a weighbridge / weighing sensor at the entrance of the bridge. and quality Cameras / radars can also be installed at relevant locations to detect when a vehicle enters the bridge through video analysis or radar signals. .

[0046] During windless periods (such as when a vehicle is traveling alone), determine the Peak strain of each vehicle , corresponding to vehicle weight , assuming , then the vehicle load influence coefficient can include: ; in, Represents the vehicle load influence coefficient.

[0047] It should be noted that the attenuation coefficient and impact frequency It can also be determined through calibration.

[0048] Step S140, determining the current stress of the arch foot support point according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information.

[0049] In one embodiment of the present application, the current stress of the arch foot support can be determined based on the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information.

[0050] In one embodiment, the stress fluctuation caused by the current wind load can be determined based on the current environmental wind characteristic information and the wind load influence coefficient, and the stress fluctuation caused by the current vehicle load can be determined based on the vehicle load influence coefficient and the current vehicle information. The stress fluctuation caused by the current wind load and the stress fluctuation caused by the vehicle load can be subtracted from the current stress monitoring data to obtain the current stress of the arch foot support.

[0051] Exemplarily, the current stress monitoring data may be , the current environmental wind characteristic information can be , the current vehicle information can be Passed before 10 seconds, , , , , we can determine: ; ; ; in, Indicates the current stress at the arch foot support.

[0052] In one embodiment, after determining the current stress of the arch foot support, the current stress of the arch foot support can be sliding averaged to obtain the noise correction stress, and then the temperature compensation can be determined, and the difference between the noise correction stress and the temperature compensation is determined as the target stress of the arch foot support.

[0053] In one embodiment, the process of performing sliding average on the current stress of the arch foot support to obtain the noise correction stress may include: ; in, represents the noise corrected stress; Indicates the amount of data.

[0054] In one embodiment, the temperature compensation may be: ; in, Indicates temperature compensation, is the elastic modulus, Indicates the thermal expansion coefficient of steel, is the temperature change of the bridge steel relative to the reference temperature.

[0055] When the bridge state is detected according to the arch foot support stress, the current stress of the arch foot support can be used as the arch foot support stress data for bridge state detection, or the target stress of the arch foot support can be used as the arch foot support stress data for bridge state detection.

[0056] In one embodiment, the concrete arch bridge arch foot node stress monitoring method provided in the embodiment of the present application may also include: adjusting the prestress of the concrete arch bridge according to historical monitoring data, and / or obtaining special vehicle information, and determining the passage time of special vehicles and adjusting the prestress of the concrete arch bridge according to historical monitoring data and special vehicle information.

[0057] Among them, according to the historical monitoring data, the process of adjusting the prestress of the concrete arch bridge can include: determining the historical load data according to the historical monitoring data, analyzing the historical vehicle load data, identifying the peak hours and load concentration areas; using finite element analysis software (such as YJK) to perform stress analysis on the bridge structure to determine the position and number of prestressed tendons that need to be adjusted; according to the analysis results, select the appropriate adjustment method, including increasing or decreasing the tension, number or diameter of the prestressed tendons. After determining the current stress of the arch foot support, the operating status of the concrete arch bridge can also be evaluated according to the stress size and distribution of the arch foot. According to the operating status of the bridge and the historical vehicle load records, adjust the prestress size of various parts of the bridge. In some periods, such as rush hour or the two nodes of holiday and return, when the vehicle load is mainly concentrated on one side of the bridge, combined with historical data, the prestress size of various parts of the bridge can be adjusted in advance to reduce the damage to the bridge caused by uneven vehicle load.

[0058] The process of obtaining special vehicle information and determining the passage time of special vehicles and adjusting the prestress of concrete arch bridges based on historical monitoring data and special vehicle information may include: obtaining the maximum load-bearing capacity of the bridge through bridge design data or professional testing agencies; collecting past vehicle traffic records on the bridge, and analyzing the actual use and structural health of the bridge; obtaining actual load data of special vehicles, including total weight, axle weight distribution, etc. (that is, special vehicle information); determining the passage time period of special vehicles based on the bridge status and historical records to avoid peak hours and bridge maintenance time; designing a prestressing plan based on bridge design specifications and actual conditions, including prestressing load, prestressing time and monitoring methods.

[0059] Preloading implementation steps: 1. Determine the supplier of preloading equipment, purchase and lease the equipment; organize relevant personnel to receive equipment operation training; 2. Set up prestressing equipment on both sides of the bridge to ensure uniform load application; install monitoring equipment to obtain settlement data in real time; 3. Apply the load gradually according to the predetermined preload to avoid applying excessive pressure instantly; record the settlement data daily and adjust the preload strategy according to the monitoring results.

[0060] 4. After the preloading time is over, stop preloading, remove the equipment, and conduct a comprehensive inspection of the bridge; record the settlement data, compare it with the expected data, and analyze the preloading effect.

[0061] In addition, for some special vehicles (such as large transport vehicles), the passage time of special vehicles can be adjusted according to the state of the concrete arch bridge (such as the maximum vehicle load that the bridge can bear), historical vehicle load records, and the vehicle load generated by special vehicles. Of course, the prestressing of various parts of the bridge can also be adjusted in advance when special vehicles pass through, thereby reducing the damage to the bridge body caused by special vehicles.

[0062] Figure 2 FIG. 1 is a block diagram of a stress monitoring system for a concrete arch bridge arch foot node according to an exemplary embodiment of the present application. Figure 2 As shown, the exemplary concrete arch bridge arch foot node stress monitoring system 200 includes: The data acquisition module 210 is used to obtain historical monitoring data, current stress monitoring data corresponding to the current time point, current environmental wind characteristic information, and current vehicle information. The historical monitoring data includes historical stress monitoring data, historical environmental wind characteristic information, and historical vehicle information corresponding to each time point within a preset time period before the current time point.

[0063] The first data determination module 220 is used to determine first stress data in the historical monitoring data, and determine the wind load influence coefficient according to the first stress data; the first stress data is data in the historical stress monitoring data that does not include vehicle load.

[0064] The second data determination module 230 is used to determine second stress data in the historical monitoring data, and determine the vehicle load influence coefficient according to the second stress data; the second stress data is data in the historical stress monitoring data that does not include wind load.

[0065] The stress determination module 240 is used to determine the current stress of the arch foot support according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information.

[0066] In one embodiment of the present application, the first data determination module includes: Determine a car-free period in the historical monitoring data, and determine the historical stress monitoring data and historical environmental wind characteristic information corresponding to the car-free period as the first stress data; The wind load influence coefficient is determined based on the historical stress monitoring data of the first stress data and the historical environmental wind characteristic information.

[0067] It should be noted that the concrete arch bridge arch foot node stress monitoring device provided in the above embodiment and the concrete arch bridge arch foot node stress monitoring method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment and will not be repeated here. In actual application, the concrete arch bridge arch foot node stress monitoring device provided in the above embodiment can distribute the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0068] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by one or more processors, the electronic device implements the concrete arch bridge arch foot node stress monitoring method provided in the above-mentioned embodiments.

[0069] Another aspect of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor of a computer, the computer executes the concrete arch bridge arch foot node stress monitoring method provided in the above embodiments. The computer-readable storage medium may be included in the electronic device described in the above embodiments, or may exist independently without being assembled into the electronic device.

[0070] Another aspect of the present application also provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the concrete arch bridge arch foot node stress monitoring method provided in each of the above embodiments.

[0071] In the embodiments of the present application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. "Including" and "comprising" mentioned throughout the specification and claims are open-ended terms and should be interpreted as "including but not limited to".

[0072] The above embodiments are merely illustrative of the principles and effects of the present application, and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A method for monitoring stress of a concrete arch bridge arch foot node, characterized in that: include: Obtaining historical monitoring data, current stress monitoring data corresponding to the current time point, current environmental wind characteristic information, and current vehicle information, wherein the historical monitoring data includes historical stress monitoring data, historical environmental wind characteristic information, and historical vehicle information corresponding to each time point within a preset time period before the current time point; Determining first stress data in the historical monitoring data, and determining a wind load influence coefficient according to the first stress data; the first stress data is data in the historical stress monitoring data that does not include vehicle loads; Determining second stress data in the historical monitoring data, and determining a vehicle load influence coefficient according to the second stress data; the second stress data is data in the historical stress monitoring data that does not include wind load; The current stress of the arch foot support is determined according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information.

2. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 1, characterized in that: Determining first stress data in the historical monitoring data, and determining a wind load influence coefficient according to the first stress data, includes: Determine a car-free period in the historical monitoring data, and determine the historical stress monitoring data and historical environmental wind characteristic information corresponding to the car-free period as first stress data; The wind load influence coefficient is determined according to historical stress monitoring data and historical environmental wind characteristic information of the first stress data.

3. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 2, characterized in that: Determining the wind load influence coefficient according to historical stress monitoring data and historical environmental wind characteristic information of the first stress data includes: The least square method is used to fit the historical stress monitoring data of the first stress data and the historical environmental wind characteristic information to obtain the wind load influence coefficient.

4. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 2 or 3, characterized in that: A period in which the number of vehicles in the historical stress monitoring data is less than a first preset number and the wind speed is greater than or equal to the first preset wind speed is determined as a vehicle-free period.

5. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 1, characterized in that: Determining second stress data in the historical monitoring data, and determining a vehicle load influence coefficient according to the second stress data, comprises: Determine a windless period in the historical monitoring data, and determine the historical stress monitoring data and historical vehicle information corresponding to the windless period as second stress data; The vehicle load influence coefficient is determined according to the historical stress monitoring data and historical vehicle information of the second stress data.

6. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 5, characterized in that: Determining the vehicle load influence coefficient according to the historical stress monitoring data and the historical vehicle information of the second stress data includes: Linear fitting is performed on historical stress monitoring data and historical vehicle information of the second stress data to obtain the vehicle load influence coefficient.

7. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 5 or 6, characterized in that: A period in which the number of vehicles in the historical stress monitoring data is greater than or equal to a second preset number and the wind speed is less than the second preset wind speed is determined as a windless period.

8. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 1, characterized in that: Determining the current stress of the arch foot support according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information includes: Determining the current environmental wind load according to the wind load influence coefficient and the environmental wind characteristic information; Determining a current vehicle load according to the vehicle load influence coefficient and the vehicle information; The current stress of the arch foot support is determined according to the current stress monitoring data, the current environmental wind load, and the current vehicle load.

9. The method for monitoring stress of a concrete arch bridge arch foot node according to claim 1, characterized in that: The method further comprises: According to the historical monitoring data, adjusting the prestressing force of the concrete arch bridge, and / or, The special vehicle information is obtained, and based on the historical monitoring data and the special vehicle information, the passage time of the special vehicle is determined and the prestress of the concrete arch bridge is adjusted.

10. A stress monitoring system for a concrete arch bridge arch foot node, characterized in that: include: A data acquisition module is used to acquire historical monitoring data, current stress monitoring data corresponding to the current time point, current environmental wind characteristic information, and current vehicle information. The historical monitoring data includes historical stress monitoring data, historical environmental wind characteristic information, and historical vehicle information corresponding to each time point within a preset time period before the current time point; a first data determination module, configured to determine first stress data in the historical monitoring data, and determine a wind load influence coefficient according to the first stress data; The first stress data is data in the historical stress monitoring data excluding vehicle load; a second data determination module, configured to determine second stress data in the historical monitoring data, and determine a vehicle load influence coefficient according to the second stress data; The second stress data is data in the historical stress monitoring data excluding wind load; The stress determination module is used to determine the current stress of the arch foot support according to the current stress monitoring data, the vehicle load influence coefficient, the wind load influence coefficient, the current environmental wind characteristic information, and the current vehicle information.

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