A dynamic analysis method and system for composite bridge deck

Abstract

The present invention discloses a method and system for dynamic analysis of a composite bridge panel, the method comprising: obtaining panel structure data and traffic flow data of a target bridge; constructing a panel model and a panel load spectrum; loading the panel load spectrum onto the panel model and calculating and analyzing stress data of various parts of the panel model within a preset time period; updating the panel model according to degradation conditions; repeatedly loading the updated panel model with the panel load spectrum to obtain stress data and degradation conditions and updating the panel model until preset conditions are met; analyzing the damage condition of the target bridge based on the stress data and degradation conditions calculated by the final updated panel model. The present invention can perform damage analysis on different vehicle load conditions of different bridges, and bring the damage results of each stage into the next stage for further analysis, effectively improving the accuracy of the analysis, effectively discovering the damage development law of the composite bridge panel, and effectively improving the safety of the bridge.

Description

Technical Field

[0001] The present invention relates to intelligent analysis and design technology, and in particular to a combined bridge deck dynamic analysis method and system. Background Art

[0002] A composite bridge deck is a structure composed of a reinforced concrete deck slab and a steel deck. Its main components include the steel deck, rubber pads, hooks, and the reinforced concrete deck slab. The steel deck carries vehicle loads and ensures driving safety, while the reinforced concrete deck slab bears the weight of the bridge deck and lateral loads, serving as a connection between the steel deck and the foundation concrete. The rubber pads act as a buffer, reducing noise and vibration during vehicle travel.

[0003] Currently, damage analysis of composite bridge decks generally involves load calculation based on relevant specifications. However, different bridges may face different load conditions, and damage to composite bridge decks often accelerates the development of subsequent damage. Existing technologies cannot perform a good analysis of this aspect. Summary of the Invention

[0004] In order to at least overcome the above-mentioned deficiencies in the prior art, the purpose of the present application is to provide a combined bridge deck dynamic analysis method and system.

[0005] In a first aspect, an embodiment of the present application provides a composite bridge deck dynamic analysis method, comprising:

[0006] Obtain the panel structure data and traffic flow data of the target bridge;

[0007] Constructing a panel model of the target bridge according to the panel structure data, and calculating a panel load spectrum of the load borne by the panel within a preset time period according to the traffic flow data;

[0008] Loading the panel load spectrum onto the panel model and calculating and analyzing the stress data of each part of the panel model within the preset time period;

[0009] Calculating the degradation of the corresponding part of the panel model within the preset time period according to the stress data, and updating the panel model according to the degradation;

[0010] Repeatedly loading the updated panel model with the panel load spectrum to obtain the stress data and degradation condition and updating the panel model until a preset condition is met;

[0011] The damage condition of the target bridge is analyzed based on the stress data and degradation condition calculated from the final updated panel model.

[0012] When implementing the embodiment of the present application, it is necessary to first obtain the panel structure of the target bridge, which can be obtained through design drawings. At the same time, it is necessary to obtain traffic data through traffic monitoring means. The traffic data needs to include the number of different types of traffic passing within a certain period of time. According to the panel structure, a panel model of the target bridge can be constructed. The panel model can be constructed using a finite element model through commercial finite element software, or a finite element model can be written using mathematical software. At the same time, when the traffic data is known, a panel load spectrum within a preset time length can be generated. It should be understood that for different target bridges, the difference in traffic data will result in different generated panel load spectra, so the present application can be effectively applied to different bridge panel analyses, which is more in line with the actual load conditions of the target bridge.

[0013] In this embodiment, the panel model is loaded and calculated using the actual panel load spectrum to obtain stress data for each part to be tested. After converting the stress data and the number of loads to degradation conditions according to fatigue analysis criteria, relevant parameters such as stiffness can be corrected for these parts after damage occurs. By repeatedly calculating and updating the panel model, the calculated damage condition of the target bridge will better match the load conditions of the target bridge itself, resulting in more accurate analysis results.

[0014] In a possible implementation, calculating the panel load spectrum of the load borne by the panel within a preset time period based on the traffic flow data includes:

[0015] Obtaining the number of vehicles of different types passing through the target bridge within the preset time period according to the traffic flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks;

[0016] Assigning corresponding lane occurrence probabilities and load data corresponding to the vehicle types to different vehicle types;

[0017] Generating the number of vehicles in each lane corresponding to each vehicle type appearing in each lane within the preset time period according to the occurrence probability and the number of vehicles;

[0018] Calculating unit load data per unit time for each lane according to the number of vehicles in the lane and the load data;

[0019] The unit load data for each lane is aggregated to form the panel load spectrum.

[0020] In a possible implementation, generating the unit load data includes:

[0021] Multiplying the number of vehicles corresponding to different vehicle types within the preset time period by the corresponding occurrence probability to obtain the number of vehicles of the corresponding vehicle type appearing in the corresponding lane within the preset time period;

[0022] Multiplying the number of vehicles in the lane by the load data of the corresponding vehicle type to generate a vehicle type load generated by the vehicle type corresponding to the lane;

[0023] The vehicle type loads of all vehicle types in the same lane are summed and averaged per unit time to form the unit load data.

[0024] In a possible implementation, aggregating the unit load data of each lane to form the panel load spectrum includes:

[0025] Converting the unit load data into a uniformly distributed load within the lane, and calculating the uniformly distributed load corresponding to each lane;

[0026] The uniformly distributed loads of all lanes and the positions of the lanes form a load spectrum per unit time;

[0027] A plurality of the loading load spectra are connected in series, and an unloading load spectrum is added between adjacent loading load spectra to form a panel load spectrum with a duration of the preset duration; the duration of the unloading load spectrum is unit time, and the load of the unloading load spectrum is zero.

[0028] In a possible implementation, calculating the degradation of the corresponding portion of the panel model within the preset time period based on the stress data, and updating the panel model based on the degradation includes:

[0029] Obtaining a ratio of the stress data to the stress intensity of the material at the corresponding position as the degradation condition; the stress intensity adopts tensile strength, compressive strength or flexural strength;

[0030] The stress intensity of the corresponding part is lowered according to the degradation condition to complete the update of the panel model.

[0031] In a second aspect, an embodiment of the present application provides a combined bridge deck dynamic analysis system, comprising:

[0032] an acquisition unit configured to acquire panel structure data and vehicle flow data of a target bridge;

[0033] an initialization unit configured to construct a panel model of the target bridge according to the panel structure data, and calculate a panel load spectrum of a load borne by the panel within a preset time period according to the traffic flow data;

[0034] a calculation unit configured to load the panel load spectrum onto the panel model and calculate and analyze stress data of various parts of the panel model within the preset time period;

[0035] An updating unit, which calculates the degradation of the corresponding part of the panel model within the preset time period according to the stress data, and updates the panel model according to the degradation;

[0036] a circulation unit configured to repeatedly load the updated panel model through the panel load spectrum to obtain the stress data and degradation condition and update the panel model until a preset condition is met;

[0037] The analysis unit is configured to analyze the damage condition of the target bridge according to the stress data and degradation condition calculated by the finally updated panel model.

[0038] In a possible implementation, the initial unit is further configured to:

[0039] Obtaining the number of vehicles of different types passing through the target bridge within the preset time period according to the traffic flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks;

[0040] Assigning corresponding lane occurrence probabilities and load data corresponding to the vehicle types to different vehicle types;

[0041] Generating the number of vehicles in each lane corresponding to each vehicle type appearing in each lane within the preset time period according to the occurrence probability and the number of vehicles;

[0042] Calculating unit load data per unit time for each lane according to the number of vehicles in the lane and the load data;

[0043] The unit load data for each lane is aggregated to form the panel load spectrum.

[0044] In a possible implementation, the initial unit is further configured to:

[0045] Multiplying the number of vehicles corresponding to different vehicle types within the preset time period by the corresponding occurrence probability to obtain the number of vehicles of the corresponding vehicle type appearing in the corresponding lane within the preset time period;

[0046] Multiplying the number of vehicles in the lane by the load data of the corresponding vehicle type to generate a vehicle type load generated by the vehicle type corresponding to the lane;

[0047] The vehicle type loads of all vehicle types in the same lane are summed and averaged per unit time to form the unit load data.

[0048] In a possible implementation, the initial unit is further configured to:

[0049] Converting the unit load data into a uniformly distributed load within the lane, and calculating the uniformly distributed load corresponding to each lane;

[0050] The uniformly distributed loads of all lanes and the positions of the lanes form a load spectrum per unit time;

[0051] A plurality of the loading load spectra are connected in series, and an unloading load spectrum is added between adjacent loading load spectra to form a panel load spectrum with a duration of the preset duration; the duration of the unloading load spectrum is unit time, and the load of the unloading load spectrum is zero.

[0052] In a possible implementation, the updating unit is further configured to:

[0053] Obtaining a ratio of the stress data to the stress intensity of the material at the corresponding position as the degradation condition; the stress intensity adopts tensile strength, compressive strength or flexural strength;

[0054] The stress intensity of the corresponding part is lowered according to the degradation condition to complete the update of the panel model.

[0055] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0056] The present invention provides a combined bridge deck dynamic analysis method and system that can effectively perform damage analysis based on the vehicle load conditions of different bridges themselves, and bring the damage results of each stage into the next stage for further analysis, effectively improving the accuracy of the analysis, effectively discovering the damage development law of the combined bridge deck, and effectively improving bridge safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0058] Figure 1 This is a schematic diagram of the method steps of an embodiment of the present application. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of illustration and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate the operations implemented according to some embodiments of the embodiments of the present application. It should be understood that the operations of the flowcharts can be implemented out of sequence, and steps without logical context can be reversed or implemented simultaneously. In addition, those skilled in the art, under the guidance of the contents of this application, can add one or more other operations to the flowchart, or remove one or more operations from the flowchart.

[0060] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

[0061] Please refer to Figure 1 , which is a flow chart of a combined bridge deck dynamic analysis method provided by an embodiment of the present invention. The combined bridge deck dynamic analysis method may specifically include the contents described in the following steps S1 to S6.

[0062] S1: Obtain the panel structure data and traffic flow data of the target bridge;

[0063] S2: constructing a panel model of the target bridge according to the panel structure data, and calculating a panel load spectrum of the load borne by the panel within a preset time period according to the traffic flow data;

[0064] S3: Loading the panel load spectrum onto the panel model and calculating and analyzing stress data of each part of the panel model within the preset time period;

[0065] S4: calculating the degradation of the corresponding part of the panel model within the preset time period according to the stress data, and updating the panel model according to the degradation;

[0066] S5: Repeatedly loading the updated panel model with the panel load spectrum to obtain the stress data and degradation condition and updating the panel model until a preset condition is met;

[0067] S6: Analyze the damage condition of the target bridge based on the stress data and degradation condition calculated by the final updated panel model.

[0068] When implementing the embodiment of the present application, it is necessary to first obtain the panel structure of the target bridge, which can be obtained through design drawings. At the same time, it is necessary to obtain traffic data through traffic monitoring means. The traffic data needs to include the number of different types of traffic passing within a certain period of time. According to the panel structure, a panel model of the target bridge can be constructed. The panel model can be constructed using a finite element model through commercial finite element software, or a finite element model can be written using mathematical software. At the same time, when the traffic data is known, a panel load spectrum within a preset time length can be generated. It should be understood that for different target bridges, the difference in traffic data will result in different generated panel load spectra, so the present application can be effectively applied to different bridge panel analyses, which is more in line with the actual load conditions of the target bridge.

[0069] In this embodiment, the panel model is loaded and calculated using the actual panel load spectrum to obtain stress data for each part to be tested. After converting the stress data and the number of loads to degradation conditions according to fatigue analysis criteria, relevant parameters such as stiffness can be corrected for these parts after damage occurs. By repeatedly calculating and updating the panel model, the calculated damage condition of the target bridge will better match the load conditions of the target bridge itself, resulting in more accurate analysis results.

[0070] In a possible implementation, calculating the panel load spectrum of the load borne by the panel within a preset time period based on the traffic flow data includes:

[0071] Obtaining the number of vehicles of different types passing through the target bridge within the preset time period according to the traffic flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks;

[0072] Assigning corresponding lane occurrence probabilities and load data corresponding to the vehicle types to different vehicle types;

[0073] Generating the number of vehicles in each lane corresponding to each vehicle type appearing in each lane within the preset time period according to the occurrence probability and the number of vehicles;

[0074] Calculating unit load data per unit time for each lane according to the number of vehicles in the lane and the load data;

[0075] The unit load data for each lane is aggregated to form the panel load spectrum.

[0076] When the embodiment of the present application is implemented, in order to achieve accurate acquisition of the panel load spectrum, it is necessary to extract the number of different types of traffic passing through within a preset time from the traffic data. Due to the influence of traffic rules and actual driving habits, the probability of different types of vehicles appearing in different lanes is different. The specific probability can be obtained by statistical analysis of the traffic data, or it can be obtained based on existing data. Through the occurrence probability and the corresponding number of vehicles, the load conditions corresponding to different lanes can be analyzed and the panel load spectrum can be generated; in the embodiment of the present application, the preset time can generally be preferably 15s, and the unit time can be preferably 1s. Similarly, for the panel model, the selected panel length is preferably 10m, so that the unit load data can be estimated more accurately.

[0077] In a possible implementation, generating the unit load data includes:

[0078] Multiplying the number of vehicles corresponding to different vehicle types within the preset time period by the corresponding occurrence probability to obtain the number of vehicles of the corresponding vehicle type appearing in the corresponding lane within the preset time period;

[0079] Multiplying the number of vehicles in the lane by the load data of the corresponding vehicle type to generate a vehicle type load generated by the vehicle type corresponding to the lane;

[0080] The vehicle type loads of all vehicle types in the same lane are summed and averaged per unit time to form the unit load data.

[0081] When the embodiment of the present application is implemented, the number of a certain type of vehicle appearing in different lanes within a preset time period can be well simulated by means of the probability of occurrence, and then converted into unit load data per unit time; for example, taking a two-way 6-lane bridge as an example, there are three lanes in one direction. For small passenger cars, the corresponding probability of occurrence of the left lane is 50%, the middle lane is 30%, and the right lane is 20%, while for large passenger cars, the corresponding probability of occurrence of the left lane is 20%, the middle lane is 60%, and the right lane is 20%; similarly, the corresponding probability of occurrence of the left lane for small trucks is 30%, the middle lane is 50%, and the right lane is 20%, and the corresponding probability of occurrence of the left lane for large trucks is 10%, the middle lane is 10%, and the right lane is 80%; thus, the loads of different types of vehicles can be converted into loads of different lanes per unit time.

[0082] In a possible implementation, aggregating the unit load data of each lane to form the panel load spectrum includes:

[0083] Converting the unit load data into a uniformly distributed load within the lane, and calculating the uniformly distributed load corresponding to each lane;

[0084] The uniformly distributed loads of all lanes and the positions of the lanes form a load spectrum per unit time;

[0085] A plurality of the loading load spectra are connected in series, and an unloading load spectrum is added between adjacent loading load spectra to form a panel load spectrum with a duration of the preset duration; the duration of the unloading load spectrum is unit time, and the load of the unloading load spectrum is zero.

[0086] When the embodiment of the present application is implemented, a loading load spectrum per unit time can be formed by combining different uniformly distributed loads on different lanes, and adding an unloading load spectrum between the loading load spectrum can characterize the unloading process caused by the vehicle passing through the gap, making the result more accurate; it should be understood that the panel load spectrum characterizes the load conditions during the vehicle loading and unloading process, and the loading calculation performed through it can well characterize the fatigue damage of the panel of the target bridge under different vehicle conditions.

[0087] In a possible implementation, calculating the degradation of the corresponding portion of the panel model within the preset time period based on the stress data, and updating the panel model based on the degradation includes:

[0088] Obtaining a ratio of the stress data to the stress intensity of the material at the corresponding position as the degradation condition; the stress intensity adopts tensile strength, compressive strength or flexural strength;

[0089] The stress intensity of the corresponding part is lowered according to the degradation condition to complete the update of the panel model.

[0090] In a second aspect, an embodiment of the present application provides a combined bridge deck dynamic analysis system, comprising:

[0091] an acquisition unit configured to acquire panel structure data and vehicle flow data of a target bridge;

[0092] an initialization unit configured to construct a panel model of the target bridge according to the panel structure data, and calculate a panel load spectrum of a load borne by the panel within a preset time period according to the traffic flow data;

[0093] a calculation unit configured to load the panel load spectrum onto the panel model and calculate and analyze stress data of various parts of the panel model within the preset time period;

[0094] An updating unit, which calculates the degradation of the corresponding part of the panel model within the preset time period according to the stress data, and updates the panel model according to the degradation;

[0095] a circulation unit configured to repeatedly load the updated panel model through the panel load spectrum to obtain the stress data and degradation condition and update the panel model until a preset condition is met;

[0096] The analysis unit is configured to analyze the damage condition of the target bridge according to the stress data and degradation condition calculated by the finally updated panel model.

[0097] In a possible implementation, the initial unit is further configured to:

[0098] Obtaining the number of vehicles of different types passing through the target bridge within the preset time period according to the traffic flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks;

[0099] Assigning corresponding lane occurrence probabilities and load data corresponding to the vehicle types to different vehicle types;

[0100] Generating the number of vehicles in each lane corresponding to each vehicle type appearing in each lane within the preset time period according to the occurrence probability and the number of vehicles;

[0101] Calculating unit load data per unit time for each lane according to the number of vehicles in the lane and the load data;

[0102] The unit load data for each lane is aggregated to form the panel load spectrum.

[0103] In a possible implementation, the initial unit is further configured to:

[0104] Multiplying the number of vehicles corresponding to different vehicle types within the preset time period by the corresponding occurrence probability to obtain the number of vehicles of the corresponding vehicle type appearing in the corresponding lane within the preset time period;

[0105] Multiplying the number of vehicles in the lane by the load data of the corresponding vehicle type to generate a vehicle type load generated by the vehicle type corresponding to the lane;

[0106] The vehicle type loads of all vehicle types in the same lane are summed and averaged per unit time to form the unit load data.

[0107] In a possible implementation, the initial unit is further configured to:

[0108] Converting the unit load data into a uniformly distributed load within the lane, and calculating the uniformly distributed load corresponding to each lane;

[0109] The uniformly distributed loads of all lanes and the positions of the lanes form a load spectrum per unit time;

[0110] A plurality of the loading load spectra are connected in series, and an unloading load spectrum is added between adjacent loading load spectra to form a panel load spectrum with a duration of the preset duration; the duration of the unloading load spectrum is unit time, and the load of the unloading load spectrum is zero.

[0111] In a possible implementation, the updating unit is further configured to:

[0112] Obtaining a ratio of the stress data to the stress intensity of the material at the corresponding position as the degradation condition; the stress intensity adopts tensile strength, compressive strength or flexural strength;

[0113] The stress intensity of the corresponding part is lowered according to the degradation condition to complete the update of the panel model.

[0114] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0115] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0116] The units described as separate components may or may not be physically separated. As units, it is obvious that a person of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0117] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0118] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or grid device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0119] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A dynamic analysis method for a composite bridge deck, characterized in that: include: Obtain the panel structure data and traffic flow data of the target bridge; Constructing a panel model of the target bridge according to the panel structure data, and calculating a panel load spectrum of the load borne by the panel within a preset time period according to the traffic flow data; Loading the panel load spectrum onto the panel model and calculating and analyzing the stress data of each part of the panel model within the preset time period; Calculating the degradation of the corresponding part of the panel model within the preset time period according to the stress data, and updating the panel model according to the degradation; Repeatedly loading the updated panel model with the panel load spectrum to obtain the stress data and degradation condition and updating the panel model until a preset condition is met; analyzing the damage condition of the target bridge based on the stress data and degradation condition calculated by the finally updated panel model; Calculating the panel load spectrum of the load borne by the panel within a preset time period according to the traffic flow data includes: Obtaining the number of vehicles of different types passing through the target bridge within the preset time period according to the traffic flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning corresponding lane occurrence probabilities and load data corresponding to the vehicle types to different vehicle types; Generating the number of vehicles in each lane corresponding to each vehicle type appearing in each lane within the preset time period according to the occurrence probability and the number of vehicles; Calculating unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; Aggregating the unit load data of each lane to form the panel load spectrum; The generation of the unit load data includes: Multiplying the number of vehicles corresponding to different vehicle types within the preset time period by the corresponding occurrence probability to obtain the number of vehicles of the corresponding vehicle type appearing in the corresponding lane within the preset time period; Multiplying the number of vehicles in the lane by the load data of the corresponding vehicle type to generate a vehicle type load generated by the vehicle type corresponding to the lane; Sum the vehicle type loads of all vehicle types in the same lane and average them per unit time to form the unit load data; Calculating the degradation of the corresponding part of the panel model within the preset time period according to the stress data, and updating the panel model according to the degradation includes: Obtaining a ratio of the stress data to the stress intensity of the material at the corresponding position as the degradation condition; the stress intensity adopts tensile strength, compressive strength or flexural strength; The stress intensity of the corresponding part is lowered according to the degradation condition to complete the update of the panel model.

2. A composite bridge deck dynamic analysis method according to claim 1, characterized in that: Aggregating the unit load data of each lane to form the panel load spectrum includes: Converting the unit load data into a uniformly distributed load within the lane, and calculating the uniformly distributed load corresponding to each lane; The uniformly distributed loads of all lanes and the positions of the lanes form a load spectrum per unit time; A plurality of the loading load spectra are connected in series, and an unloading load spectrum is added between adjacent loading load spectra to form a panel load spectrum with a duration of the preset duration; the duration of the unloading load spectrum is unit time, and the load of the unloading load spectrum is zero.

3. A combined bridge deck dynamic analysis system, characterized in that: include: an acquisition unit configured to acquire panel structure data and vehicle flow data of a target bridge; an initialization unit configured to construct a panel model of the target bridge according to the panel structure data, and calculate a panel load spectrum of a load borne by the panel within a preset time period according to the traffic flow data; a calculation unit configured to load the panel load spectrum onto the panel model and calculate and analyze stress data of various parts of the panel model within the preset time period; an updating unit configured to calculate a degradation condition of a corresponding portion of the panel model within the preset time period based on the stress data, and update the panel model based on the degradation condition; a circulation unit configured to repeatedly load the updated panel model through the panel load spectrum to obtain the stress data and degradation condition and update the panel model until a preset condition is met; an analysis unit configured to analyze the damage condition of the target bridge based on the stress data and degradation condition calculated by the finally updated panel model; The initialization unit is further configured to: Obtaining the number of vehicles of different types passing through the target bridge within the preset time period according to the traffic flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning corresponding lane occurrence probabilities and load data corresponding to the vehicle types to different vehicle types; Generating the number of vehicles in each lane corresponding to each vehicle type appearing in each lane within the preset time period according to the occurrence probability and the number of vehicles; Calculating unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; Aggregating the unit load data of each lane to form the panel load spectrum; The initialization unit is further configured to: Multiplying the number of vehicles corresponding to different vehicle types within the preset time period by the corresponding occurrence probability to obtain the number of vehicles of the corresponding vehicle type appearing in the corresponding lane within the preset time period; Multiplying the number of vehicles in the lane by the load data of the corresponding vehicle type to generate a vehicle type load generated by the vehicle type corresponding to the lane; Sum the vehicle type loads of all vehicle types in the same lane and average them per unit time to form the unit load data; The updating unit is further configured to: Obtaining a ratio of the stress data to the stress intensity of the material at the corresponding position as the degradation condition; the stress intensity adopts tensile strength, compressive strength or flexural strength; The stress intensity of the corresponding part is lowered according to the degradation condition to complete the update of the panel model.

4. A combined bridge deck dynamic analysis system according to claim 3, characterized in that: The initialization unit is further configured to: Converting the unit load data into a uniformly distributed load within the lane, and calculating the uniformly distributed load corresponding to each lane; The uniformly distributed loads of all lanes and the positions of the lanes form a load spectrum per unit time; A plurality of the loading load spectra are connected in series, and an unloading load spectrum is added between adjacent loading load spectra to form a panel load spectrum with a duration of the preset duration; the duration of the unloading load spectrum is unit time, and the load of the unloading load spectrum is zero.

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