Bridge scouring risk assessment method considering extreme climate influence

Abstract

The invention discloses a bridge scouring risk assessment method considering extreme climate influence. The method comprises the following steps: constructing a simulation model for simulating local scouring depth of a pier under different extreme working conditions; acquiring actual construction parameters of the current pier and local extreme climate types, and acquiring local scouring depth data of the pier in the acquisition time period; the pier local scour depth simulation model is adjusted according to the actual construction parameters, and pier local scour depth data and the extreme climate type serve as input and are used for conducting dynamic simulation according to the adjusted pier local scour depth simulation model; according to the dynamic simulation result, judging whether the current bridge pier has a bridge scouring risk under the influence of different extreme climate types, and generating an evaluation report; according to the method, the risk assessment report with high integrating degree with the target region pier and the extreme climate type can be generated, and the assessment reliability can be improved.

Description

Technical Field

[0001] The invention belongs to the technical field of bridge health monitoring, and in particular relates to a bridge scour risk assessment method taking into account the influence of extreme climate. Background Art

[0002] Bridge foundation scour is one of the main reasons for the failure of bridge structure function and loss of its safety performance. At present, the common scour monitoring method is mainly manual monitoring through ship-borne echo detection, photoelectric detection and other equipment, which is suitable for waters with slow water flow, good underwater environment and no large obstacles. The advantages are low cost and wide range. The disadvantage is that scour disasters often occur under extreme climatic conditions, with fast water flow and many debris in the water, which do not meet the conditions for scour monitoring.

[0003] In addition, the existing scour warning system usually obtains scour monitoring data for early warning when a scour disaster is occurring. However, when a scour disaster occurs, the warning given by the early warning system can only reduce casualties and cannot directly avoid water damage to bridges. Moreover, based on public knowledge, the risk of maintaining a bridge under normal circumstances is smaller than the risk of maintaining a bridge under a scour disaster. Therefore, compared with issuing a risk warning when a scour disaster occurs, a bridge scour risk assessment method that considers the impact of extreme climate is urgently needed. The scour monitoring data when no scour disaster occurs can be used to predict the scour monitoring data when a scour disaster occurs, so as to obtain a bridge scour risk assessment for early prevention of scour disasters that have not occurred. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a bridge scour risk assessment method taking into account the impact of extreme climate, so as to solve the above-mentioned technical problems.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A bridge scour risk assessment method considering the impact of extreme climate includes:

[0007] Construct a simulation model for simulating the local scour depth of bridge piers under different extreme working conditions;

[0008] Obtain the actual construction parameters of the current bridge piers and the extreme climate types existing locally, and obtain the local scour depth data of the bridge piers within the collection period;

[0009] The local scour depth simulation model of the bridge pier is adjusted according to the actual construction parameters, and the local scour depth data of the bridge pier and the extreme climate type are used as inputs for dynamic simulation according to the adjusted local scour depth simulation model of the bridge pier;

[0010] Based on the dynamic simulation results, it is determined whether the current bridge piers have the risk of bridge scour under the influence of different extreme climate types, and an assessment report is generated.

[0011] Furthermore, a simulation model for simulating the local scour depth of bridge piers under different extreme working conditions is constructed, including:

[0012] Generate an original simulation model of the local scour morphology of the bridge pier based on CFD technology;

[0013] A finite element model is established to simulate the response relationship of the bridge pier under different local scour depths; wherein the finite element model includes the construction parameters of the bridge pier;

[0014] Different local scour depth increases are set according to preset API specifications to simulate scour conditions under different extreme climates;

[0015] The simulation parameters of the original simulation model were adjusted using the scour conditions and response relationships to obtain a simulation model for simulating the local scour depth of bridge piers under different extreme conditions.

[0016] Furthermore, different methods for obtaining local scour depth increases include:

[0017] Call the local scour depth increase data under any extreme climate conditions in the historical data, and perform data preprocessing to obtain the target data;

[0018] Statistical methods are used to verify and calculate the target data to obtain the representative value of the increase in local scour depth under any extreme climate conditions;

[0019] Obtain representative values ​​of local scour depth increases under all extreme climate conditions and determine different local scour depth increases.

[0020] Furthermore, the local scouring depth data of the bridge piers within the collection period is obtained, including:

[0021] Collect some local scour depth data of bridge piers as training samples to train and generate a prediction model of local scour depth of bridge piers based on BP neural network;

[0022] Obtain the collection time period preset by the user, and predict the scour depth data within the collection time period based on the local scour depth prediction model of the bridge pier to obtain the local scour depth data of the bridge pier;

[0023] Wherein, at every preset time interval, the actual local scour depth data of the current pier is collected to adjust the local scour depth prediction model of the pier, so as to improve the prediction accuracy of the local scour depth prediction model of the pier.

[0024] Furthermore, the simulation model of the local scour depth of the pier is adjusted according to the actual construction parameters, including:

[0025] The finite element model in the local scour depth simulation model of the pier is adjusted according to the actual construction parameters of the pier to obtain the adjusted local scour depth simulation model of the pier.

[0026] Furthermore, the local scour depth data of the bridge pier and the extreme climate type are used as inputs for dynamic simulation according to the adjusted local scour depth simulation model of the bridge pier, including:

[0027] Get all the extreme climate types that exist locally, as well as information about the current season;

[0028] Obtain the prone extreme climate type corresponding to the current quarter information among all extreme climate types as the target extreme climate type;

[0029] Obtain the time node corresponding to each target extreme climate type in the current quarterly information to obtain the collection time period;

[0030] According to the acquisition time period, the local scour depth data of the bridge pier corresponding to each target extreme climate type is obtained as the target data;

[0031] Each target extreme climate type and the corresponding target data are respectively taken as input, and dynamic simulation is performed according to the adjusted local scour depth simulation model of the bridge pier, and the dynamic simulation results are output.

[0032] Furthermore, based on the dynamic simulation results, it is determined whether the current bridge piers have the risk of bridge scour under the influence of different extreme climate types, and an assessment report is generated, including:

[0033] Obtain the local scour depth risk threshold of the bridge pier pre-set by the user, as well as the dynamic simulation results corresponding to each target extreme climate type;

[0034] Compare the local scour depth risk threshold of bridge piers with the dynamic simulation results;

[0035] If the comparison result shows that the dynamic simulation result is higher than the local scour depth risk threshold of the bridge pier, it is determined that the current bridge pier has a bridge scour risk; otherwise, there is no bridge scour risk;

[0036] Collect all judgment results and generate a quarterly assessment report on bridge scour risk for output.

[0037] The beneficial effects of the present invention are:

[0038] The present invention proposes a bridge scour risk assessment method that takes into account the impact of extreme climate, and generates a risk assessment report that is highly consistent with the bridge piers and extreme climate types in the target area. Compared with issuing risk warnings when scour disasters occur, it is beneficial to provide users with reliable scour risk assessments, allowing users to carry out targeted maintenance in advance and reduce the possibility of bridge water damage.

[0039] Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or they may be taught from the practice of the present invention. The purposes and other advantages of the present invention may be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0040] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0042] Figure 1 A method flow chart of a bridge scour risk assessment method considering the impact of extreme climate in an embodiment of the present invention;

[0043] Figure 2 A flowchart of a process of constructing a simulation model of the local scour depth of a pier in a bridge scour risk assessment method considering the influence of extreme climate in an embodiment of the present invention;

[0044] Figure 3 It is a flow chart of a process of obtaining different local scour depth increases in a bridge scour risk assessment method considering the influence of extreme climate in an embodiment of the present invention;

[0045] Figure 4 A flowchart of a process for obtaining local scour depth data of a pier in a bridge scour risk assessment method considering the influence of extreme climate in an embodiment of the present invention;

[0046] Figure 5 A dynamic simulation process flow chart of a bridge scour risk assessment method considering the impact of extreme climate in an embodiment of the present invention;

[0047] Figure 6 The present invention is a flowchart of a process for generating an assessment report of a bridge scour risk assessment method that takes into account the impact of extreme climate in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0049] like Figure 1 As shown, the present invention proposes a bridge scour risk assessment method considering the impact of extreme climate, including:

[0050] S101. Construct a simulation model for simulating the local scouring depth of bridge piers under different extreme working conditions;

[0051] S102, obtaining actual construction parameters of the current bridge pier and the local extreme climate type, and obtaining local scouring depth data of the bridge pier within the collection time period;

[0052] S103, adjusting the local scour depth simulation model of the bridge pier according to the actual construction parameters, and using the local scour depth data of the bridge pier and the extreme climate type as inputs to perform dynamic simulation according to the adjusted local scour depth simulation model of the bridge pier;

[0053] S104. Determine whether the current bridge pier has a risk of bridge scour under the influence of different extreme climate types based on the dynamic simulation results, and generate an assessment report;

[0054] The working principle of the above technical solution is as follows: In order to further reduce the possibility of bridge scour leading to water damage, this application proposes a bridge scour risk assessment method considering the impact of extreme climate, which is used to use the scour monitoring data when no scour disaster occurs to predict the scour monitoring data when a scour disaster occurs, and obtain a bridge scour risk assessment report, so that the staff can take precautions in advance against scour disasters that have not occurred;

[0055] Specifically, when the method is applied, it is necessary to construct in advance a simulation model for the local scour depth of bridge piers under different extreme working conditions. It is worth mentioning that, usually, piles with a pile length of less than 6m are called piers. In the prior art, when conducting scour model experiments on water-passing bridges with a beam-pile length in the design range of 10m-50m, due to the large number of design types of water-passing bridges in this range, it is difficult to determine the model similarity ratio, and it cannot be widely used in general bridge designs with beam-pile lengths in the range of 10m-50m. However, the scour simulation model proposed in this application is for the scour model experiments of water-passing bridges corresponding to piers with a pile length of less than 6m. In the existing water-passing bridge designs, the number of water-passing bridge designs that use piers as supports is much smaller than the number of water-passing bridge designs that use beams and piles as supports, which greatly reduces the manpower and material resources spent on model construction. At the same time, due to the reduction in the number of water-passing bridge designs involved, the present application The proposed local scour depth simulation model of bridge piers can be generally applied to the design of general bridges with a pile length of less than 6m; after the above-mentioned local scour depth simulation model of bridge piers is constructed, the evaluation preprocessing is deemed to be completed. In practical application, the actual construction parameters of the pre-evaluated bridge piers are first obtained to adjust the simulation model to improve the accuracy of the simulation results, and the local extreme climate types are obtained to determine the extreme working conditions during the simulation process, and the local scour depth data of bridge piers within the collection time period pre-set by the user are obtained to determine the simulated scour depth data during the simulation process. It is worth noting that the above-mentioned local scour depth data of bridge piers are usually predicted scour depth data, which is a prediction of the local scour depth data during the period of frequent extreme climate in the local area, so that subsequent simulation experiments can simulate the scour process during the frequent period according to the prediction results, thereby improving the reliability of subsequent simulations;

[0056] After completing the data acquisition, the local scour depth simulation model of the bridge pier is adjusted according to the actual construction parameters to obtain a local scour depth simulation model of the bridge pier that is adapted to the current pre-assessed bridge pier. The local scour depth data of the bridge pier and the extreme climate type are then used as inputs to the adjusted local scour depth true model of the bridge pier for dynamic simulation, that is, the scour monitoring data when no scour disaster occurs is used to predict the scour monitoring data when a scour disaster occurs, and further predict the risk of bridge water damage in advance; finally, based on the dynamic simulation results, it is determined whether the current bridge pier has a bridge scour risk under the influence of different extreme climate types, and an assessment report is generated, which helps the staff to take disaster prevention measures in advance for the predicted bridge water damage risk in the future according to the assessment report;

[0057] The beneficial effect of the above technical solution is: through the above technical solution, a risk assessment report with a high degree of fit with the bridge piers and extreme climate types in the target area is generated. Compared with issuing risk warnings when scour disasters occur, it is beneficial to provide users with reliable scour risk assessments, allowing users to carry out targeted maintenance in advance and reduce the possibility of bridge water damage.

[0058] like Figure 2 As shown, in one embodiment, a simulation model for simulating the local scouring depth of bridge piers under different extreme working conditions is constructed, including:

[0059] S201. Generate an original simulation model of the local scour form of the bridge pier based on CFD technology;

[0060] S202, establishing a finite element model to simulate the response relationship of the bridge pier under different local scour depths; wherein the finite element model includes construction parameters of the bridge pier;

[0061] S203, setting different local scour depth increases according to preset API specifications to simulate scour conditions under different extreme climates;

[0062] S204, adjusting the simulation parameters of the original simulation model using the scouring conditions and the response relationship, to obtain a simulation model for simulating the local scouring depth of the bridge pier under different extreme conditions;

[0063] The working principle of the above technical solution is: based on CFD (computational fluid dynamics) software, such as FLUENT, a three-dimensional dynamic grid simulation model of local scour of bridge piers is constructed by using appropriate turbulence models and related functions as the original simulation model of the local scour morphology of bridge piers; then a finite element model is established to simulate the response relationship of the bridge piers under different local scour depth states; wherein the finite element model includes the construction parameters of the bridge piers, specifically including the geometric shape of the pile foundation, the slope angle of the scour pit and the scour depth and other parameters; at the same time, different local scour depth increases are set according to the preset API specifications to simulate the scour conditions under different extreme climates, and the preset API specifications are defined by the user according to the input interface specifications of the original simulation model; wherein API is Application Programming Interface (application programming interface), in order to make the local scour depth increase data reusable after collection, it is saved in the corresponding database system. In the present technical scheme, the purpose of setting the preset API specification for the local scour depth increase data is to encapsulate the scour condition data under different extreme climates simulated by each local scour depth increase data with a preset encapsulation interface type, and provide a stable API, so that when the parameters of the original simulation model are adjusted later, the corresponding API can be directly called to control the local scour depth in the simulation environment (that is, the corresponding API is called to control and interact with the simulation environment), unify the interface and simplify the calling process; then the simulation parameters of the original simulation model are adjusted by using the scour condition and response relationship, and the adjustment also includes related operations such as grid size independence verification, specific numerical model setting, and numerical simulation parameter setting, and finally a simulation model of the local scour depth of the bridge pier for simulating different extreme conditions is obtained. The simulation model is used as a general design local scour depth simulation model of the bridge pier. When it is applied to the actual bridge pier scour depth evaluation, the finite element model and the simulation data of the extreme conditions are adjusted to achieve the purpose of adjusting the simulation process;

[0064] The beneficial effect of the above technical solution is: through the above technical solution, a local scour depth simulation model of bridge piers is used to realize rapid simulation experiments on the scour depths of different bridge piers, providing reliable data support for subsequent assessment of bridge scour risks.

[0065] like Figure 3 As shown, in one embodiment, the method for obtaining different local scour depth increases includes:

[0066] S301, calling the local scour depth increase data under any extreme climate conditions in the historical data, and performing data preprocessing to obtain target data;

[0067] S302, using statistical methods to verify and calculate the target data to obtain a representative value of the increase in local scour depth under any extreme climate conditions;

[0068] S303, obtaining representative values ​​of local scour depth increases under all extreme climate conditions, and determining different local scour depth increases;

[0069] The beneficial effect of the above technical solution is: through the above technical solution, the representative value of the increase in local scour depth under different extreme climatic conditions is determined, which is beneficial to provide reliable data support for subsequent simulation experiments.

[0070] like Figure 4 As shown, in one embodiment, obtaining the local scouring depth data of the bridge pier within the acquisition time period includes:

[0071] S401, collecting some local scour depth data of bridge piers as training samples, so as to train and generate a local scour depth prediction model of bridge piers based on BP neural network;

[0072] S402, obtaining a collection time period preset by a user, and predicting the scour depth data within the collection time period based on a pier local scour depth prediction model to obtain pier local scour depth data;

[0073] Wherein, at every preset time interval, the actual local scour depth data of the current pier is collected to adjust the local scour depth prediction model of the pier, so as to improve the prediction accuracy of the local scour depth prediction model of the pier;

[0074] The working principle of the above technical solution is: to obtain the local scour depth data of the bridge pier within the collection time period preset by the user, and to determine the simulated scour depth data in the simulation process. It is worth noting that the above local scour depth data of the bridge pier is usually the predicted scour depth data, which is the prediction of the local scour depth data during the period of frequent extreme climate in the local area, so that the subsequent simulation experiment can simulate the scour process during the frequent period according to the prediction results, thereby improving the reliability of the subsequent simulation; specifically, firstly, collect a number of local scour depth data of the bridge pier as training samples, so as to train and generate a local scour depth prediction model of the bridge pier based on the BP neural network. The specific training process is relatively mature in the prior art and will not be repeated here. Then, based on Based on the trained prediction model, real-time scour depth data is collected, combined with the collection time period preset by the user, which corresponds to the time period when extreme climate frequently occurs in the current area, and then the scour depth data within the collection time period is predicted based on the local scour depth prediction model of the pier to obtain the local scour depth data of the pier; it is worth noting that in order to ensure the accuracy of the prediction model, a preset time interval is set in advance, and the real-time scour depth data is automatically collected to use the prediction model to predict the prediction data after the preset time interval, and the actual local scour depth data of the current pier is collected after each preset time interval to adjust the local scour depth prediction model of the pier, so as to achieve the purpose of improving the prediction accuracy of the local scour depth prediction model of the pier;

[0075] The beneficial effect of the above technical scheme is: through the above technical scheme, compared with the existing technology that only uses real-time data to warn of the current scour risk, this scheme uses the BP prediction model to predict the scour depth data of the time period when there is a risk, and then combines the simulation model to conduct simulation experiments on the prediction results. According to the simulation results, the bridge is maintained in advance, which is beneficial to reduce the possibility of water damage to the bridge.

[0076] In one embodiment, the local scour depth simulation model of the bridge pier is adjusted according to the actual construction parameters, including:

[0077] The finite element model in the local scour depth simulation model of the pier is adjusted according to the actual construction parameters of the pier to obtain an adjusted local scour depth simulation model of the pier;

[0078] The working principle and beneficial effects of the above technical solution are as follows: the local scour depth simulation model of the pier is adjusted according to the actual construction parameters to obtain a local scour depth simulation model of the pier that is adapted to the current pre-evaluated pier, which is beneficial to improving the accuracy of subsequent evaluations; further, multiple finite element models are generated in advance based on multiple commonly used bridge designs of the relevant piers collected, and multiple simulation models suitable for different bridge designs are generated based on multiple finite element models and related simulation data. In actual applications, the corresponding simulation model is called for simulation experiments according to the actual construction parameters of the pier and the bridge design of the corresponding bridge, so that the corresponding simulation model can be called more quickly for use, reducing the computing power consumption during use.

[0079] like Figure 5 As shown, in one embodiment, the local scour depth data of the bridge pier and the extreme climate type are used as inputs to perform dynamic simulation according to the adjusted local scour depth simulation model of the bridge pier, including:

[0080] S501. Obtain all extreme climate types existing in the local area, and obtain information on the current season;

[0081] S502, obtaining the prone extreme climate type corresponding to the current quarter information among all extreme climate types as the target extreme climate type;

[0082] S503, obtaining the time node corresponding to each target extreme climate type in the current quarter information, and obtaining the collection time period;

[0083] S504, according to the collection time period, respectively obtaining the local scour depth data of the bridge pier corresponding to each target extreme climate type as the target data;

[0084] S505, taking each target extreme climate type and the corresponding target data as input, performing dynamic simulation according to the adjusted bridge pier local scour depth simulation model, and outputting a dynamic simulation result;

[0085] The working principle of the above technical solution is: obtain all the extreme climate types existing locally, obtain the current quarter information at the same time, and then obtain the prone extreme climate type corresponding to the current quarter information in all extreme climate types as the target extreme climate type. The number of target extreme climate types can be multiple, and obtain the time node corresponding to each target extreme climate type in the current quarter information to obtain the collection time period. The time node is the frequent time node of the extreme climate in the historical data. After obtaining the collection time period, according to the collection time period, the local scour depth data of the bridge pier corresponding to each target extreme climate type is obtained respectively as the target data. Finally, each target extreme climate type and the corresponding target data are used as input respectively, and dynamic simulation is performed according to the adjusted bridge pier local scour depth simulation model. The dynamic simulation result is output, and the dynamic simulation result is the local scour depth data when any target extreme climate type occurs;

[0086] The beneficial effect of the above technical solution is: through the above technical solution, the scour monitoring data when the scour disaster does not occur is used to predict the scour monitoring data when the scour disaster occurs, and the risk of water damage to the bridge is further predicted in advance.

[0087] like Figure 6 As shown, in one embodiment, it is determined whether the current bridge pier has a bridge scour risk under the influence of different extreme climate types according to the dynamic simulation results, and an assessment report is generated, including:

[0088] S601, obtaining the local scour depth risk threshold of the bridge pier preset by the user, and the dynamic simulation results corresponding to each target extreme climate type;

[0089] S602, comparing the local scour depth risk threshold of the bridge pier and the dynamic simulation results;

[0090] S603: If the comparison result shows that the dynamic simulation result is higher than the local scour depth risk threshold of the bridge pier, it is determined that the current bridge pier has a bridge scour risk; otherwise, there is no bridge scour risk;

[0091] S604. Collect all judgment results and generate a quarterly assessment report on bridge scour risk for output. It is worth noting that in order to improve the accuracy of the assessment report, the assessment report is issued at the beginning of each quarter, and the assessment interval is divided into quarters.

[0092] The beneficial effect of the above technical scheme is as follows: through the above technical scheme, it is determined whether the current bridge pier has the risk of bridge scour under the influence of different extreme climate types according to the dynamic simulation results, and an assessment report is generated. According to the assessment report, it helps the staff to carry out targeted disaster protection in advance for the predicted future bridge water damage risk, thereby reducing the bridge water damage risk.

[0093] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A bridge scour risk assessment method considering the impact of extreme climate, characterized in that: include: Construct a simulation model for simulating the local scour depth of bridge piers under different extreme working conditions; Obtain the actual construction parameters of the current bridge piers and the extreme climate types existing locally, and obtain the local scour depth data of the bridge piers within the collection period; The local scour depth simulation model of the bridge pier is adjusted according to the actual construction parameters, and the local scour depth data of the bridge pier and the extreme climate type are used as inputs for dynamic simulation according to the adjusted local scour depth simulation model of the bridge pier; Based on the dynamic simulation results, it is determined whether the current bridge piers have the risk of bridge scour under the influence of different extreme climate types, and an assessment report is generated.

2. A bridge scour risk assessment method considering the impact of extreme climate according to claim 1, characterized in that: Construct a simulation model for simulating the local scour depth of bridge piers under different extreme working conditions, including: Generate an original simulation model of the local scour morphology of the bridge pier based on CFD technology; A finite element model is established to simulate the response relationship of the bridge pier under different local scour depths; wherein the finite element model includes the construction parameters of the bridge pier; Different local scour depth increases are set according to preset API specifications to simulate scour conditions under different extreme climates; The simulation parameters of the original simulation model were adjusted using the scour conditions and response relationships to obtain a simulation model for simulating the local scour depth of bridge piers under different extreme conditions.

3. A bridge scour risk assessment method considering the impact of extreme climate according to claim 2, characterized in that: Different methods for obtaining local scour depth increases include: Call the local scour depth increase data under any extreme climate conditions in the historical data, and perform data preprocessing to obtain the target data; Statistical methods are used to verify and calculate the target data to obtain the representative value of the increase in local scour depth under any extreme climate conditions; Obtain representative values ​​of local scour depth increases under all extreme climate conditions and determine different local scour depth increases.

4. A bridge scour risk assessment method considering the impact of extreme climate according to claim 1, characterized in that: Obtain local scour depth data of bridge piers within the acquisition period, including: Collect some local scour depth data of bridge piers as training samples to train and generate a prediction model of local scour depth of bridge piers based on BP neural network; Obtain the collection time period preset by the user, and predict the scour depth data within the collection time period based on the local scour depth prediction model of the bridge pier to obtain the local scour depth data of the bridge pier; Wherein, at every preset time interval, the actual local scour depth data of the current pier is collected to adjust the local scour depth prediction model of the pier, so as to improve the prediction accuracy of the local scour depth prediction model of the pier.

5. The bridge scour risk assessment method considering the impact of extreme climate according to claim 1 is characterized in that: The simulation model of the local scour depth of the pier is adjusted according to the actual construction parameters, including: The finite element model in the local scour depth simulation model of the pier is adjusted according to the actual construction parameters of the pier to obtain the adjusted local scour depth simulation model of the pier.

6. The bridge scour risk assessment method considering the impact of extreme climate according to claim 1 is characterized in that: The local scour depth data of the bridge pier and the extreme climate type are used as inputs for dynamic simulation based on the adjusted local scour depth simulation model of the bridge pier, including: Get all the extreme climate types that exist locally, as well as information about the current season; Obtain the prone extreme climate type corresponding to the current quarter information among all extreme climate types as the target extreme climate type; Obtain the time node corresponding to each target extreme climate type in the current quarterly information to obtain the collection time period; According to the acquisition time period, the local scour depth data of the bridge pier corresponding to each target extreme climate type is obtained as the target data; Each target extreme climate type and the corresponding target data are respectively taken as input, and dynamic simulation is performed according to the adjusted local scour depth simulation model of the bridge pier, and the dynamic simulation results are output.

7. The bridge scour risk assessment method considering the impact of extreme climate according to claim 1 is characterized in that: Based on the dynamic simulation results, determine whether the current bridge piers have the risk of bridge scour under the influence of different extreme climate types, and generate an assessment report, including: Obtain the local scour depth risk threshold of the bridge pier pre-set by the user, as well as the dynamic simulation results corresponding to each target extreme climate type; Compare the local scour depth risk threshold of bridge piers with the dynamic simulation results; If the comparison result shows that the dynamic simulation result is higher than the local scour depth risk threshold of the bridge pier, it is determined that the current bridge pier has a bridge scour risk; otherwise, there is no bridge scour risk; Collect all judgment results and generate a quarterly assessment report on bridge scour risk for output.

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