Bridge tower wind barrier length prediction method based on numerical simulation, medium and product

Abstract

The invention discloses a bridge tower wind barrier length prediction method based on numerical simulation, a medium and a product, and relates to the field of wind barrier length prediction.The method comprises the steps that a target bridge tower is determined, and a three-dimensional bridge model is constructed according to structural parameters of a bridge to which the target bridge tower belongs; in the three-dimensional bridge model, arranging a wind speed monitoring point for collecting incoming flow wind speed for each lane on the bridge floor; based on the three-dimensional bridge model and the wind speed monitoring points, performing numerical simulation on the wind field change of a bridge to which the target bridge tower belongs by utilizing fluid mechanics simulation software to obtain a wind field change numerical simulation result; and determining the wind barrier length of the target bridge tower area according to the wind field change numerical simulation result. The wind field stability and the wind field change degree are evaluated by using the wind field change numerical simulation result, so that the wind barrier length is accurately determined, the method can be suitable for various bridge tower structure forms, and the accuracy of wind barrier length prediction is ensured.

Description

Technical Field

[0001] The present application relates to the field of wind barrier prediction, and in particular to a method, medium and product for predicting the length of a bridge tower wind barrier based on numerical simulation. Background Art

[0002] Due to the wind shielding effect of the bridge tower, the wind field near the bridge tower varies greatly. When a vehicle passes through the bridge tower, the aerodynamic wind load applied to the vehicle may change suddenly. This phenomenon may cause the vehicle to deviate from the route or roll over and tilt, and in serious cases may cause traffic accidents. The aerodynamic load of the vehicle when passing the bridge tower will change suddenly under the wind shielding effect of the bridge tower. Therefore, it is necessary to set up a wind barrier in the bridge tower area. At present, the length of the wind barrier is mostly determined based on experience, such as Figure 1 As shown in the figure. For various bridge tower structures, the influence of bridge towers on the wind field near them is different. Therefore, if the empirical formula is used to determine the length of the wind barrier, it is likely to lead to excessive use of materials, resulting in unnecessary waste. Therefore, the existing method for determining the length of the wind barrier is insufficient in accuracy. Summary of the invention

[0003] The purpose of this application is to provide a method, medium and product for predicting the length of wind barriers in bridge towers based on numerical simulation, which can improve the accuracy of wind barrier length prediction in tower bridge areas.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In a first aspect, the present application provides a method for predicting the length of a bridge tower wind barrier based on numerical simulation, comprising:

[0006] Determine the target bridge tower and construct a three-dimensional bridge model according to the structural parameters of the bridge to which the target bridge tower belongs;

[0007] In the three-dimensional bridge model, a wind speed monitoring point for collecting incoming wind speed is arranged for each lane on the bridge deck; the wind speed monitoring points of each lane are arranged at intervals in the vicinity of the target bridge tower along the direction of the bridge; the direction of the bridge refers to the direction of the length of the bridge; the vicinity of the target bridge tower refers to the area at a preset distance from the target bridge tower;

[0008] Based on the three-dimensional bridge model and the wind speed monitoring points, a fluid mechanics simulation software is used to perform a numerical simulation of the wind field changes of the bridge to which the target bridge tower belongs, and a numerical simulation result of the wind field changes is obtained;

[0009] The wind barrier length of the target bridge tower area is determined according to the numerical simulation results of the wind field change.

[0010] In a second aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for predicting the length of a bridge tower wind barrier based on numerical simulation.

[0011] In a third aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned bridge tower wind barrier length prediction method based on numerical simulation.

[0012] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0013] The present application provides a method, medium and product for predicting the length of a bridge tower wind barrier based on numerical simulation. In a three-dimensional bridge model, a wind speed monitoring point for collecting incoming wind speed is arranged for each lane on the bridge deck. Based on the three-dimensional bridge model and the wind speed monitoring point, a fluid mechanics simulation software is used to perform a numerical simulation of the wind field changes of the bridge to which the target bridge tower belongs. The wind field stability and the degree of wind field change are evaluated using the numerical simulation results of the wind field changes, thereby accurately determining the length of the wind barrier. The method can be applicable to various bridge tower structures, ensuring the accuracy of the prediction of the wind barrier length. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 A schematic diagram of the existing wind barrier setting method for the bridge tower area;

[0016] Figure 2 This is an application environment diagram of a bridge tower wind barrier length prediction method based on numerical simulation in one embodiment of the present application;

[0017] Figure 3 A schematic flow chart of a method for predicting the length of a bridge tower wind barrier based on numerical simulation provided in one embodiment of the present application;

[0018] Figure 4 A schematic diagram of a technical route for a method for predicting the length of a bridge tower wind barrier based on numerical simulation provided in one embodiment of the present application;

[0019] Figure 5 A top view of the arrangement of wind speed monitoring points on a bridge deck provided in one embodiment of the present application;

[0020] Figure 6A cross-sectional view of the arrangement of wind speed monitoring points on a double-layer steel truss bridge deck for both road and rail use provided in one embodiment of the present application;

[0021] Figure 7 A wind speed coefficient distribution diagram provided in an embodiment of the present application;

[0022] Figure 8 A distribution diagram of instantaneous wind speed fluctuation rate provided in an embodiment of the present application;

[0023] Fig. 9 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0026] The method for predicting the length of a bridge tower wind barrier based on numerical simulation provided in the embodiment of the present application can be applied to Figure 2 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the structural parameters of the bridge to which the target bridge tower belongs to the server 104, and the server 104 builds a three-dimensional bridge model; in the three-dimensional bridge model, a wind speed monitoring point for collecting the incoming wind speed is arranged for each lane on the bridge deck; based on the three-dimensional bridge model and the wind speed monitoring point, the wind field change of the bridge to which the target bridge tower belongs is numerically simulated using fluid mechanics simulation software to obtain the numerical simulation results of the wind field change; the wind barrier length of the target bridge tower area is determined according to the numerical simulation results of the wind field change. The server 104 can feedback the obtained wind barrier length to the terminal 102. In addition, in some embodiments, the bridge tower wind barrier length prediction method based on numerical simulation can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly perform three-dimensional modeling and wind barrier length prediction on the structural parameters of the bridge to which the target bridge tower belongs, or the server 104 can obtain the structural parameters of the bridge to which the target bridge tower belongs from the data storage system, and perform three-dimensional modeling and wind barrier length prediction.

[0027] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0028] In an exemplary embodiment, Figure 3 and Figure 4 As shown, a method for predicting the length of a bridge tower wind barrier based on numerical simulation is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 2 The server 104 in the example is used for explanation, and the steps include the following steps 201 to 204.

[0029] Step 201, determine the target bridge tower and construct a three-dimensional bridge model according to the structural parameters of the bridge to which the target bridge tower belongs. The three-dimensional bridge model can be a complete three-dimensional model of the bridge to which the target bridge tower belongs, that is, a three-dimensional full bridge model, or it can be a three-dimensional model of the bridge to which the target bridge tower belongs within a preset range based on the tower bridge, that is, a partial structure of the three-dimensional full bridge model.

[0030] Among them, the structural parameters include the structural parameters of the main components such as bridge section (which can fully express the geometric characteristics of the main beam such as length, width, height, angle, spatial position of the rod, etc.), bridge deck pavement (thickness, length, height), bridge deck anti-collision railing (component size, spatial position, connection method), bridge tower (which can fully express the geometric characteristics of the bridge tower such as length, width, height, angle, etc.).

[0031] Step 202, in the three-dimensional bridge model, a wind speed monitoring point for collecting incoming wind speed is arranged for each lane on the bridge deck; the wind speed monitoring points of each lane are arranged at intervals in the vicinity of the target bridge tower along the direction of the bridge; the direction of the bridge refers to the direction of the bridge length; the vicinity of the target bridge tower refers to the area at a preset distance from the target bridge tower.

[0032] Step 203, based on the three-dimensional bridge model and the wind speed monitoring points, a fluid mechanics simulation software is used to perform a numerical simulation of the wind field change of the bridge to which the target bridge tower belongs, and a numerical simulation result of the wind field change is obtained.

[0033] The monitoring points are virtual points set in the calculation domain in the fluid mechanics simulation software. These points have the function of continuously recording the physical parameters of the position. These monitoring points can collect key physical quantity data such as the vorticity in the incoming flow direction, the fluid velocity in the incoming flow direction, and the user-defined combined velocity. The present invention mainly processes data through the wind speed in the incoming flow direction, so the monitoring point collection type is set to the incoming flow wind speed.

[0034] Among them, fluid dynamics simulation software is CFD (Computational Fluid Dynamics) software, which uses computers to solve various conservation control partial differential equations of fluid flow to simulate the actual fluid flow. Its basic principle is to numerically solve the differential equations that control fluid flow, and obtain the discrete distribution of the flow field of fluid flow in a continuous area, thereby approximately simulating the fluid flow.

[0035] Step 204: determine the wind barrier length of the target bridge tower area according to the numerical simulation result of the wind field change.

[0036] Implement the above steps 201 to 204, in the three-dimensional bridge model, set a wind speed monitoring point for collecting incoming wind speed for each lane on the bridge deck; based on the three-dimensional bridge model and the wind speed monitoring point, use fluid mechanics simulation software to perform numerical simulation on the wind field change of the bridge to which the target bridge tower belongs, and use the numerical simulation results of the wind field change to evaluate the wind field stability and the degree of wind field change, so as to accurately determine the length of the wind barrier, which can be applicable to various bridge tower structures and ensure the accuracy of the wind barrier length prediction. In addition, the present invention combines CFD numerical calculation with the prediction of the bridge wind barrier length, and determines the required length of the wind barrier more concisely and quickly.

[0037] In another exemplary embodiment of the present application, step 202, deploying a wind speed monitoring point for collecting incoming wind speed on each lane on the bridge deck, specifically includes:

[0038] (11) For each lane on the bridge deck, a plurality of wind speed monitoring points are arranged at different heights of the specific bridge deck.

[0039] (12) At each height, the wind speed monitoring points are arranged at intervals along the direction of the bridge; the wind speed monitoring points at each height are distributed on both sides of the center line of the bridge tower. Figure 5 A top view of the arrangement of wind speed monitoring points on a bridge deck is shown; Figure 6 A cross-sectional view showing the arrangement of wind speed monitoring points at different heights on the deck of a highway-railway dual-purpose bridge is shown.

[0040] As an example, wind speed monitoring points are set at 1m, 2m and 3m from the bridge deck. Based on the centerline of the bridge tower, the monitoring points are arranged symmetrically on both sides along the bridge direction, with the interval of about 0.75m along the bridge direction. Figure 5 , Figure 6 A monitoring point is arranged at the center line of the bridge tower, and then a monitoring point is arranged every 0.75m on both sides. Figure 5 The several small circles at each lane are monitoring points.

[0041] In another exemplary embodiment of the present application, step 204, determining the wind barrier length of the target bridge tower area according to the numerical simulation result of the wind field change, specifically includes:

[0042] (21) Determine the wind speed coefficient and instantaneous wind speed fluctuation rate of each wind speed monitoring point in each lane according to the wind speed simulation result of each step corresponding to each wind speed monitoring point in each lane in the numerical simulation result of the wind field change.

[0043] Wherein, the expression of the wind speed coefficient is:

[0044] λ=U mean / U come ;

[0045] in,

[0046] Where λ is the wind speed coefficient; U mean is the average wind speed at the wind speed monitoring point; U come U is the incoming wind speed, which is set and input in the CFD software. i is the wind speed at the i-th step of the wind speed monitoring point; n is the total number of collection steps.

[0047] The expression of the instantaneous wind speed fluctuation rate is:

[0048]

[0049] Among them, λ i =U i / U come ;

[0050] Where η is the instantaneous wind speed fluctuation rate; t is the sampling time step of the monitoring point, λ i is the instantaneous wind speed coefficient of the i-th wind speed monitoring point, and λ is the wind speed coefficient. Among them, the sampling time step t of the monitoring point is the wind speed collection at every time t, and the total number of collection steps n is the total number of wind speeds collected n times at the monitoring point. The above two parameters, the sampling time step t of the monitoring point and the total number of collection steps n, can be set by the CFD calculation software.

[0051] (22) Draw a distribution diagram of the wind speed coefficient corresponding to each wind speed monitoring point in each lane and / or a distribution diagram of the instantaneous wind speed fluctuation rate corresponding to each wind speed monitoring point. Figure 7 and Figure 8 shown.

[0052] The distribution diagram is based on the position of each wind speed monitoring point in the entire bridge as the horizontal axis, for example Figure 7 and Figure 8 In the figure, the distance along the bridge is the horizontal axis, and the position of the symmetry axis along the bridge tower is 0. The wind speed coefficient distribution diagram uses the value of the wind speed coefficient λ as the vertical axis, and the instantaneous wind speed fluctuation rate distribution diagram uses the instantaneous wind speed fluctuation rate η as the vertical axis. The three legends in the figure represent the corresponding wind speed coefficient λ value and instantaneous wind speed fluctuation rate η value for the data collected and processed at the monitoring points with a lane height of 1m, 2m, and 3m. Each point in the figure is the monitoring point corresponding to the horizontal coordinate of a lane. Figure 7 and Figure 8 The corresponding wind speed coefficient λ and instantaneous wind speed fluctuation rate η of a lane collected and processed at wind speed monitoring points at heights of 1m, 2m, and 3m are shown. Figure 7 and Figure 8 Each point in the diagram is a wind speed monitoring point corresponding to the horizontal coordinate of a lane.

[0053] (23) The wind barrier length is determined using a wind speed coefficient distribution map and / or an instantaneous wind speed fluctuation rate distribution map for each lane.

[0054] This step includes three methods for determining the wind barrier length, namely, determining it using the wind speed coefficient distribution map of each lane, or determining it using the instantaneous wind speed fluctuation rate distribution map of each lane, or determining it using the wind speed coefficient distribution map and the instantaneous wind speed fluctuation rate distribution map of each lane. The third method has the highest accuracy.

[0055] In another exemplary embodiment of the present application, in step (23), determining the length of the wind barrier using the wind speed coefficient distribution map and the instantaneous wind speed fluctuation rate distribution map of each lane specifically includes:

[0056] (31) Determine the first wind barrier range corresponding to each lane based on the wind speed coefficient distribution map of each lane.

[0057] Since each lane includes wind speed monitoring points at different heights, there is a corresponding first wind barrier range for each height of each lane.

[0058] like Figure 7 As shown in the figure, the circled position is from the center of the bridge tower to the maximum wind speed coefficient λ on one side. If the horizontal coordinate approaches 0, the wind speed coefficient λ begins to decrease, indicating that it is affected by the bridge tower. Therefore, the circle corresponds to the horizontal coordinate, that is, the intersection of the vertical line and the horizontal axis, which is the boundary point of the bridge tower's influence on the incoming flow. The corresponding distance between the two vertical lines is the range of the bridge tower's influence on the incoming flow along the bridge, that is, the range of the first wind barrier.

[0059] (32) Determine the corresponding second wind barrier range of each lane based on the instantaneous wind speed fluctuation rate distribution diagram of each lane.

[0060] Similarly, for each height of each lane, there is a corresponding second wind barrier range.

[0061] like Figure 8 As shown in the figure, the circled position is the point where the instantaneous wind speed fluctuation rate η is small from the center of the bridge tower along the bridge to the single side along the bridge, indicating that the wind speed is relatively stable. If the horizontal coordinate approaches 0, the wind speed fluctuation rate η begins to increase sharply, indicating that it is affected by the bridge tower. Therefore, the circle corresponds to the horizontal coordinate, that is, the intersection of the vertical line and the horizontal coordinate axis, which is the boundary point of the bridge tower's influence on the incoming flow. The corresponding distance between the two vertical lines is the range of the bridge tower's influence on the incoming flow along the bridge, that is, the range of the second wind barrier.

[0062] (33) determining a target wind barrier range according to each of the first wind barrier ranges and each of the second wind barrier ranges of each lane;

[0063] Compare the length of the bridge tower influence range in the wind speed coefficient λ distribution diagram and the instantaneous wind speed fluctuation rate η distribution diagram, and take the abscissa value with a larger absolute value as the wind barrier boundary. Therefore, the first end value of the target wind barrier range is selected from the first end values ​​of each of the first wind barrier ranges and each of the second wind barrier ranges, and the second end value of the target wind barrier range is selected from the second end values ​​of each of the first wind barrier ranges and each of the second wind barrier ranges, which has the largest absolute value.

[0064] (34) Determine the length of the wind barrier according to the target wind barrier range.

[0065] like Figure 7 and Figure 8 As shown, the vertical lines of the wind speed coefficient and instantaneous wind speed fluctuation rate distribution diagram are comprehensively compared, and the absolute value of the horizontal coordinate of the larger vertical line is taken as the end point of the wind barrier in that direction. The end points of the wind barriers in both directions are the installation positions of the wind barriers.

[0066] In another exemplary embodiment of the present application, the wind speed coefficient distribution diagram reflects the wind speed status of each height monitoring point of a corresponding lane. If the wind speed coefficient λ is greater than 1, it means that the wind speed in this area is accelerating. In the area near the bridge tower, the wind speed coefficient λ drops sharply to less than 0, indicating that the wind speed here is affected by the bridge tower, causing turbulence, and backflow occurs when the wind speed drops. If the wind speed coefficient λ is less than 0, it means that a stable backflow is formed, and the incoming wind is in the opposite direction. Figure 7 As shown in the wind speed coefficient distribution diagram, the maximum value of the wind speed coefficient λ obtained from the center of the bridge along the bridge to the wind speed monitoring point on one side along the bridge is analyzed (as shown in Figure 7 , circled position), compare the horizontal coordinates of the monitoring points corresponding to the maximum values ​​of the wind speed coefficient λ at each height, and take the maximum absolute value of the horizontal coordinate (such as Figure 7 The two vertical lines in the figure indicate the horizontal coordinate position), which is the end point of the wind barrier. Figure 7 Step (31) is to determine the first wind barrier range of each lane according to the wind speed coefficient distribution map of each lane, specifically including:

[0067] (a1) In the wind speed coefficient distribution diagram of each lane, the inflection points of the maximum wind speed coefficient curve on both sides of the horizontal coordinate point corresponding to the center line of the target bridge tower are determined.

[0068] (a2) Determine the coordinate range corresponding to the two inflection points of the wind speed coefficient maximum value curve on both sides as the first wind barrier range.

[0069] In another exemplary embodiment of the present application, the distribution diagram of the instantaneous wind speed fluctuation rate η reflects the wind speed stability of each height monitoring point of the lane. The larger the instantaneous wind speed fluctuation rate η, the more drastic the wind speed change at that location. Figure 8 In the instantaneous wind speed fluctuation rate η distribution diagram, the point where the absolute value of the slope is greater than the absolute value of the instantaneous wind speed fluctuation rate η not affected by the bridge tower, that is, the peak value at the horizontal coordinate 8 in the instantaneous wind speed fluctuation rate η distribution diagram, indicates that the wind field at this location is extremely unstable and the incoming flow is turbulent. For the instantaneous wind speed fluctuation rate distribution diagram, using the monitoring point To obtain the position of the wind barrier, when the distance d between adjacent monitoring points is equal, in order to facilitate calculation, the absolute value Δη of the difference in instantaneous wind speed fluctuation rate η between two adjacent monitoring points can be used to obtain the position of the wind barrier. The process of obtaining the end point of the wind barrier is: (1) Analyze the distribution diagram of the instantaneous wind speed fluctuation rate η at a certain height. The absolute value of the difference in instantaneous wind speed fluctuation rate η between two adjacent monitoring points is defined as Δη. For all monitoring points from the center position of the bridge tower along the bridge direction to one side along the bridge direction, from the absolute value of the horizontal coordinate 3 times the bridge tower width to the maximum absolute value in this direction, calculate Δη, and compare to obtain the maximum value T of Δη in this range. (2) Compare all Δη from the center position of the bridge tower along the bridge direction to one side along the bridge direction with T, select the monitoring points whose adjacent Δη are all greater than T, and take the point with the largest absolute value of the horizontal coordinate corresponding to this type of monitoring point (such as Figure 8 (3) Compare the circled positions at each height and take the maximum absolute value of the horizontal coordinate (such as Figure 8 The horizontal coordinate position indicated by the vertical line shown in the figure is the end point of the wind barrier. Figure 8 Step (32) is derived to determine the second wind barrier range of each lane according to the instantaneous wind speed fluctuation rate distribution diagram of each lane, specifically including:

[0070] (b1) In a preset range from the center position of the target bridge tower along the bridge direction to one side along the bridge direction, take the absolute value Δη of the difference between the instantaneous wind speed fluctuation rate η of two adjacent monitoring points and calculate the corresponding slope value.

[0071] (b2) Compare all slope values ​​within a preset range to obtain the maximum slope value within the preset range.

[0072] (b3) Along the center position of the target bridge tower along the bridge direction to the direction of the bridge on one side, compare the slope value and the maximum slope value in turn.

[0073] (b4) Determine the wind speed monitoring point with the largest absolute value of the horizontal coordinate among the wind speed monitoring points whose slope values ​​are all greater than the maximum slope value, and record it as the target monitoring wind speed point.

[0074] (b5) The coordinate range formed by the horizontal coordinates of the target monitoring wind speed points on both sides of the center position of the target bridge tower along the bridge direction is defined as the second wind barrier range.

[0075] In addition, according to Figure 8 It can be seen intuitively from the schematic diagram that in the instantaneous wind speed fluctuation rate distribution diagram of each lane, the convergence turning point when the instantaneous wind speed fluctuation rate on both sides of the horizontal coordinate point corresponding to the center line of the target bridge tower converges to a stable state is determined; the coordinate range corresponding to the two convergence turning points can be regarded as the second wind barrier range.

[0076] In this embodiment, a three-dimensional bridge model is established for numerical simulation, and the parameters of nearby wind field stability (instantaneous wind speed fluctuation rate) and wind field variation degree (wind speed coefficient) are introduced to accurately reflect the wind field changes near the bridge tower, providing more accurate data support for determining the length of the wind barrier. It can effectively predict the length of the railway wind barrier in the tower area of ​​a large-span dual-use double-deck steel truss bridge, and improve the safety and comfort of trains passing through the tower area.

[0077] The present application also provides an application scenario, which applies the above-mentioned bridge tower wind barrier length prediction method based on numerical simulation. Specifically: The bridge tower wind barrier length prediction method based on numerical simulation provided in this embodiment can be applied in the bridge tower wind barrier design scenario. This scenario includes the wind barrier structure design link, the wind barrier form and material selection link, and the wind barrier length and wind blocking rate design link. The bridge tower wind barrier length prediction method based on numerical simulation provided in this embodiment belongs to the wind barrier length and wind blocking rate design link.

[0078] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Fig. 9As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store wind barrier length data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for predicting the length of a bridge tower wind barrier based on numerical simulation is implemented.

[0079] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0080] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0081] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which, when executed by a processor, implements the steps in the above-mentioned method for predicting the length of a bridge tower wind barrier based on numerical simulation.

[0082] In an exemplary embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps in the above-mentioned method for predicting the length of a bridge tower wind barrier based on numerical simulation.

[0083] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0084] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0085] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0086] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0087] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for predicting the length of a bridge tower wind barrier based on numerical simulation, characterized in that: include: Determine the target bridge tower and construct a three-dimensional bridge model according to the structural parameters of the bridge to which the target bridge tower belongs; In the three-dimensional bridge model, a wind speed monitoring point for collecting incoming wind speed is arranged for each lane on the bridge deck; the wind speed monitoring points of each lane are arranged at intervals in the vicinity of the target bridge tower along the direction of the bridge; the direction of the bridge refers to the direction of the length of the bridge; the vicinity of the target bridge tower refers to the area at a preset distance from the target bridge tower; Based on the three-dimensional bridge model and the wind speed monitoring points, a fluid mechanics simulation software is used to perform a numerical simulation of the wind field changes of the bridge to which the target bridge tower belongs, and a numerical simulation result of the wind field changes is obtained; The wind barrier length of the target bridge tower area is determined according to the numerical simulation results of the wind field change.

2. The method for predicting the length of a bridge tower wind barrier based on numerical simulation according to claim 1 is characterized in that: Wind speed monitoring points for collecting incoming wind speed are arranged on each lane on the bridge deck, including: For each lane on the bridge deck, a plurality of wind speed monitoring points are arranged at different heights of the specific bridge deck; For each height, the wind speed monitoring points are arranged at intervals along the direction of the bridge; the wind speed monitoring points at each height are distributed on both sides of the center line of the bridge tower.

3. The method for predicting the length of a bridge tower wind barrier based on numerical simulation according to claim 1 is characterized in that: The wind barrier length of the target bridge tower area is determined according to the numerical simulation results of the wind field change, specifically including: Determine the wind speed coefficient and instantaneous wind speed fluctuation rate of each wind speed monitoring point of each lane according to the wind speed simulation result of each step corresponding to each wind speed monitoring point of each lane in the numerical simulation result of wind field change; Draw a distribution diagram corresponding to the wind speed coefficient of each wind speed monitoring point of each lane and / or a distribution diagram corresponding to the instantaneous wind speed fluctuation rate of each wind speed monitoring point; The wind barrier length is determined using a wind speed coefficient distribution map and / or an instantaneous wind speed fluctuation rate distribution map for each lane.

4. The method for predicting the length of a bridge tower wind barrier based on numerical simulation according to claim 3 is characterized in that: The wind barrier length is determined using the wind speed coefficient distribution map and the instantaneous wind speed fluctuation rate distribution map of each lane, specifically including: Determine the first wind barrier range corresponding to each lane according to the wind speed coefficient distribution map of each lane; Determining a second wind barrier range corresponding to each lane according to the instantaneous wind speed fluctuation rate distribution diagram of each lane; The target wind barrier range is determined according to the first wind barrier range and the second wind barrier range of each lane; the first end value of the target wind barrier range is selected from the first end values ​​of each of the first wind barrier ranges and each of the second wind barrier ranges, whichever has the largest absolute value; the second end value of the target wind barrier range is selected from the second end values ​​of each of the first wind barrier ranges and each of the second wind barrier ranges, whichever has the largest absolute value; The wind barrier length is determined according to the target wind barrier range.

5. The method for predicting the length of a bridge tower wind barrier based on numerical simulation according to claim 4 is characterized in that: Determining the first wind barrier range of each lane according to the wind speed coefficient distribution map of each lane specifically includes: In the wind speed coefficient distribution diagram of each lane, determining the inflection points of the maximum wind speed coefficient curve on both sides of the abscissa point corresponding to the center line of the target bridge tower; The coordinate range corresponding to the two inflection points of the wind speed coefficient maximum value curve on both sides is determined as the first wind barrier range.

6. The method for predicting the length of a bridge tower wind barrier based on numerical simulation according to claim 4 is characterized in that: Determining the second wind barrier range of each lane according to the instantaneous wind speed fluctuation rate distribution diagram of each lane specifically includes: In the preset range from the center position of the target bridge tower along the bridge direction to one side along the bridge direction, take the absolute value Δη of the difference between the instantaneous wind speed fluctuation rate η of two adjacent monitoring points, and calculate the corresponding slope value; Compare all slope values ​​within a preset range to obtain the maximum slope value within the preset range; Along the center position of the target bridge tower along the bridge direction to the direction along the bridge direction on one side, the slope value and the maximum slope value are compared in sequence; Determine the wind speed monitoring point with the largest absolute value of the horizontal coordinate among the wind speed monitoring points whose slope values ​​are all greater than the maximum slope value, and record it as the target monitoring wind speed point; The coordinate range formed by the horizontal coordinates of the target monitoring wind speed points on both sides of the center position of the target bridge tower along the bridge direction is regarded as the second wind barrier range.

7. The method for predicting the length of a bridge tower wind barrier based on numerical simulation according to claim 4 is characterized in that: The expression of the wind speed coefficient is: λ=U mean / IN come ; in, Where λ is the wind speed coefficient; U mean is the average wind speed at the wind speed monitoring point; U come is the incoming wind speed; U i is the wind speed at the i-th step of the wind speed monitoring point; n is the total number of collection steps.

8. The method for predicting the length of a bridge tower wind barrier based on numerical simulation according to claim 7 is characterized in that: The expression of the instantaneous wind speed fluctuation rate is: Among them, λ i =U i / IN come ; Where η is the instantaneous wind speed fluctuation rate; t is the sampling time step of the monitoring point, λ i is the instantaneous wind speed coefficient of the wind speed monitoring point at step i, and λ is the wind speed coefficient.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for predicting the length of a bridge tower wind barrier based on numerical simulation described in any one of claims 1 to 8 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for predicting the length of a bridge tower wind barrier based on numerical simulation described in any one of claims 1 to 8 is implemented.

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