Combined bridge deck dynamic analysis method and system

Abstract

The invention discloses a combined bridge deck dynamic analysis method and system. The method comprises the following steps: acquiring deck structure data and traffic flow data of a target bridge; constructing a panel model and a panel load spectrum; loading the panel load spectrum to the panel model, and calculating and analyzing stress data of each part of the panel model within a preset duration; updating the panel model according to the degradation condition; repeatedly loading the updated panel model through the panel load spectrum to obtain stress data and degradation conditions, and updating the panel model until a preset condition is met; and analyzing the damage condition of the target bridge according to the stress data and the degradation condition calculated by the finally updated panel model. According to the method, damage analysis can be well carried out according to the vehicle load conditions of different bridges, the damage result of each stage is brought into the next stage for further analysis, the analysis accuracy is effectively improved, the damage development rule of the combined bridge deck can be effectively found, and the bridge safety is effectively improved.

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] Composite bridge deck is a bridge deck structure composed of reinforced concrete bridge deck paving slab and steel bridge deck. Its main components include steel bridge deck, rubber pad, hook and reinforced concrete bridge deck paving slab. The steel bridge deck is responsible for carrying vehicle loads and ensuring driving safety; while the reinforced concrete bridge deck paving slab bears the weight of the bridge deck and lateral loads, and plays the role of connecting the steel bridge deck and the bridge foundation concrete. The rubber pad plays a buffering role, reducing noise and vibration when the vehicle is driving.

[0003] At present, damage analysis of composite bridge decks is generally based on load calculations based on relevant specifications. However, different bridges may face different load conditions. At the same time, damage to composite bridge decks often accelerates the development of subsequent damage. Existing technologies cannot analyze this part well. 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 combined bridge deck dynamic analysis method, comprising: 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 to 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; Repeatingly loading the updated panel model through the panel load spectrum to obtain the stress data and degradation conditions and updating the panel model until the preset conditions are met; The damage condition of the target bridge is analyzed based on the stress data and deterioration condition calculated by the final updated panel model.

[0006] 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, and 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.

[0007] In the embodiment of the present application, after loading and calculating the panel model through the panel load spectrum actually obtained, the stress data of each part to be tested can be obtained. After converting the stress data and the number of loading times into degradation conditions according to the relevant criteria of fatigue analysis, the relevant parameters of these parts after damage, such as stiffness, can be corrected. After repeated calculations and updating of the panel model, the calculated damage condition of the target bridge will be more consistent with the load condition of the target bridge itself, and the analysis results will be more accurate.

[0008] In a possible implementation, calculating the panel load spectrum of the load borne by the panel within a preset time period according to the traffic flow data includes: Acquire the number of vehicles of different vehicle types passing through the target bridge within the preset time period according to the vehicle flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning occurrence probabilities of corresponding lanes and load data corresponding to the vehicle types to different vehicle types; Generate the number of vehicles in the 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; Calculate the unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; The unit load data for each lane is aggregated to form the panel load spectrum.

[0009] In a possible implementation manner, the generating of the unit load data includes: The number of vehicles corresponding to the different vehicle types within the preset time period is multiplied by the corresponding occurrence probability to obtain the number of vehicles in the lane of the corresponding vehicle type that appears 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 form a vehicle type load generated by the vehicle type corresponding to the lane; 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.

[0010] In a possible implementation, aggregating the unit load data of each lane to form the panel load spectrum includes: Convert the unit load data into a uniformly distributed load within the lane, and calculate 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.

[0011] In a possible implementation, 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 updating of the panel model.

[0012] In a second aspect, an embodiment of the present application provides a combined bridge deck dynamic analysis system, comprising: 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 each part of the panel model within the preset time period; 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; A circulation unit is configured to repeatedly load the updated panel model through the panel load spectrum to obtain the stress data and degradation conditions and update the panel model until a preset condition is met; The analysis unit is configured to analyze the damage condition of the target bridge according to the stress data and deterioration condition calculated by the finally updated panel model.

[0013] In a possible implementation, the initial unit is further configured to: Acquire the number of vehicles of different vehicle types passing through the target bridge within the preset time period according to the vehicle flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning occurrence probabilities of corresponding lanes and load data corresponding to the vehicle types to different vehicle types; Generate the number of vehicles in the 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; Calculate the unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; The unit load data for each lane is aggregated to form the panel load spectrum.

[0014] In a possible implementation, the initial unit is further configured to: The number of vehicles corresponding to the different vehicle types within the preset time period is multiplied by the corresponding occurrence probability to obtain the number of vehicles in the lane of the corresponding vehicle type that appears 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 form a vehicle type load generated by the vehicle type corresponding to the lane; 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.

[0015] In a possible implementation, the initial unit is further configured to: Convert the unit load data into a uniformly distributed load within the lane, and calculate 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.

[0016] In a possible implementation, 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 updating of the panel model.

[0017] Compared with the prior art, the present invention has the following advantages and beneficial effects: The combined bridge deck dynamic analysis method and system of the present invention can well perform damage analysis on vehicle load conditions of different bridges themselves, and bring the damage results of each stage into the next stage for further analysis, which effectively improves the accuracy of the analysis, can effectively discover the damage development law of the combined bridge deck, and effectively improve the safety of the bridge. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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: Figure 1 This is a schematic diagram of the method steps of an embodiment of the present application. DETAILED DESCRIPTION

[0019] To make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described below in conjunction with the drawings in the embodiment of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation 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 in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the embodiment of the present application. It should be understood that the operations of the flowchart can be implemented out of sequence, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of the present application, or remove one or more operations from the flowchart.

[0020] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application 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 application claimed for protection, 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 belong to the scope of protection of the present application.

[0021] Please refer to Figure 1 , which is a flow chart of a combined bridge deck dynamic analysis method provided in 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.

[0022] S1: Obtain the panel structure data and vehicle flow data of the target bridge; 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; S3: 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; 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; S5: Repeatedly load the updated panel model through the panel load spectrum to obtain the stress data and degradation conditions and update the panel model until the preset conditions are met; S6: Analyze the damage condition of the target bridge according to the stress data and deterioration condition calculated by the finally updated panel model.

[0023] 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, and 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.

[0024] In the embodiment of the present application, after loading and calculating the panel model through the panel load spectrum actually obtained, the stress data of each part to be tested can be obtained. After converting the stress data and the number of loading times into degradation conditions according to the relevant criteria of fatigue analysis, the relevant parameters of these parts after damage, such as stiffness, can be corrected. After repeated calculations and updating of the panel model, the calculated damage condition of the target bridge will be more consistent with the load condition of the target bridge itself, and the analysis results will be more accurate.

[0025] In a possible implementation, calculating the panel load spectrum of the load borne by the panel within a preset time period according to the traffic flow data includes: Acquire the number of vehicles of different vehicle types passing through the target bridge within the preset time period according to the vehicle flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning occurrence probabilities of corresponding lanes and load data corresponding to the vehicle types to different vehicle types; Generate the number of vehicles in the 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; Calculate the unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; The unit load data for each lane is aggregated to form the panel load spectrum.

[0026] 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, and 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.

[0027] In a possible implementation manner, the generating of the unit load data includes: The number of vehicles corresponding to the different vehicle types within the preset time period is multiplied by the corresponding occurrence probability to obtain the number of vehicles in the lane of the corresponding vehicle type that appears 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 form a vehicle type load generated by the vehicle type corresponding to the lane; 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.

[0028] When the embodiment of the present application is implemented, the number of vehicles of a certain type 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 for 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 for the left lane is 20%, the middle lane is 60%, and the right lane is 20%; similarly, the corresponding probability of occurrence for the left lane of a small truck is 30%, the middle lane is 50%, and the right lane is 20%, and the corresponding probability of occurrence for the left lane of a large truck is 10%, the middle lane is 10%, and the right lane is 80%; and thus the loads of different types of vehicles can be converted into loads of different lanes per unit time.

[0029] In a possible implementation, aggregating the unit load data of each lane to form the panel load spectrum includes: Convert the unit load data into a uniformly distributed load within the lane, and calculate 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.

[0030] 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 represents the load conditions during the vehicle loading and unloading process, and the loading calculation through it can well characterize the fatigue damage of the panel of the target bridge under different vehicle conditions.

[0031] In a possible implementation, 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 updating of the panel model.

[0032] In a second aspect, an embodiment of the present application provides a combined bridge deck dynamic analysis system, comprising: 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 each part of the panel model within the preset time period; 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; A circulation unit is configured to repeatedly load the updated panel model through the panel load spectrum to obtain the stress data and degradation conditions and update the panel model until a preset condition is met; The analysis unit is configured to analyze the damage condition of the target bridge according to the stress data and deterioration condition calculated by the finally updated panel model.

[0033] In a possible implementation, the initial unit is further configured to: Acquire the number of vehicles of different vehicle types passing through the target bridge within the preset time period according to the vehicle flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning occurrence probabilities of corresponding lanes and load data corresponding to the vehicle types to different vehicle types; Generate the number of vehicles in the 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; Calculate the unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; The unit load data for each lane is aggregated to form the panel load spectrum.

[0034] In a possible implementation, the initial unit is further configured to: The number of vehicles corresponding to the different vehicle types within the preset time period is multiplied by the corresponding occurrence probability to obtain the number of vehicles in the lane of the corresponding vehicle type that appears 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 form a vehicle type load generated by the vehicle type corresponding to the lane; 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.

[0035] In a possible implementation, the initial unit is further configured to: Convert the unit load data into a uniformly distributed load within the lane, and calculate 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.

[0036] In a possible implementation, 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 updating of the panel model.

[0037] Those of ordinary skill 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 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.

[0038] In the several embodiments provided in the present 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 only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, 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 it can be an electrical, mechanical or other form of connection.

[0039] 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.

[0040] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0041] 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, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a 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: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0042] 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 composite bridge deck dynamic analysis method, 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 to 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; Repeatingly loading the updated panel model through the panel load spectrum to obtain the stress data and degradation conditions and updating the panel model until the preset conditions are met; The damage condition of the target bridge is analyzed based on the stress data and deterioration condition calculated by the final updated panel model.

2. A composite bridge deck dynamic analysis method according to claim 1, characterized in that: Calculating the panel load spectrum of the load borne by the panel within a preset time period according to the traffic flow data includes: Acquire the number of vehicles of different vehicle types passing through the target bridge within the preset time period according to the vehicle flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning occurrence probabilities of corresponding lanes and load data corresponding to the vehicle types to different vehicle types; Generate the number of vehicles in the 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; Calculate the unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; The unit load data for each lane is aggregated to form the panel load spectrum.

3. A composite bridge deck dynamic analysis method according to claim 2, characterized in that: The generation of the unit load data includes: The number of vehicles corresponding to the different vehicle types within the preset time period is multiplied by the corresponding occurrence probability to obtain the number of vehicles in the lane of the corresponding vehicle type that appears 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 form a vehicle type load generated by the vehicle type corresponding to the lane; 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.

4. A composite bridge deck dynamic analysis method according to claim 2, characterized in that: Aggregating the unit load data of each lane to form the panel load spectrum includes: Convert the unit load data into a uniformly distributed load within the lane, and calculate 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.

5. A composite bridge deck dynamic analysis method according to claim 1, characterized in that: 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 updating of the panel model.

6. 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 each part of the panel model within the preset time period; 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; A circulation unit is configured to repeatedly load the updated panel model through the panel load spectrum to obtain the stress data and degradation conditions and update the panel model until a preset condition is met; The analysis unit is configured to analyze the damage condition of the target bridge according to the stress data and deterioration condition calculated by the finally updated panel model.

7. A combined bridge deck dynamic analysis system according to claim 6, characterized in that: The initialization unit is further configured to: Acquire the number of vehicles of different vehicle types passing through the target bridge within the preset time period according to the vehicle flow data; the vehicle types include small passenger cars, large passenger cars, small trucks and large trucks; Assigning occurrence probabilities of corresponding lanes and load data corresponding to the vehicle types to different vehicle types; Generate the number of vehicles in the 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; Calculate the unit load data per unit time for each lane according to the number of vehicles in the lane and the load data; The unit load data for each lane is aggregated to form the panel load spectrum.

8. A combined bridge deck dynamic analysis system according to claim 7, characterized in that: The initialization unit is further configured to: The number of vehicles corresponding to the different vehicle types within the preset time period is multiplied by the corresponding occurrence probability to obtain the number of vehicles in the lane of the corresponding vehicle type that appears 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 form a vehicle type load generated by the vehicle type corresponding to the lane; 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.

9. A combined bridge deck dynamic analysis system according to claim 7, characterized in that: The initialization unit is further configured to: Convert the unit load data into a uniformly distributed load within the lane, and calculate 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.

10. A combined bridge deck dynamic analysis system according to claim 6, characterized in that: 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 updating of the panel model.

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