Bridge group water blocking influence analysis method, device, equipment, medium and product

Abstract

The invention relates to the technical field of water conservancy projects, and discloses a bridge group water blocking influence analysis method, device, equipment, medium and product, the bridge group water blocking influence analysis method comprises the following steps: constructing a bridge river channel model according to river channel characteristic parameters and bridge characteristic parameters; performing water blocking analysis on the bridge and river channel model to obtain an influence factor which represents a factor that the river-crossing bridge group affects the mechanical energy loss of the water flow of the river channel in the movement process; constructing a first target relational expression according to the influence factor; constructing a second target relational expression based on the first target relational expression and the bridge arrangement density; according to the obtained pier influence information and the second target relational expression, target head loss is generated, and the water blocking influence of the river-crossing bridge group is analyzed according to the target head loss. And the water blocking influence of the river-crossing bridge group can be analyzed more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy engineering, and in particular to an analysis method, device, equipment, medium and product for water blocking effect of a bridge group. Background Art

[0002] With the rapid development of urban construction, river-crossing bridges are widely and densely distributed. The construction of river-crossing bridges has played an important role in improving transportation and prospering the economy. However, since the bridge piers occupy the river section, the river-crossing bridge affects the original flow capacity of the river. When constructing a river-crossing bridge, it is very important to determine the impact of the river-crossing bridge on the river flow. In general, the impact of the river-crossing bridge on the river flow can be expressed by the head loss.

[0003] In the related art, the method for determining the head loss is: using digital simulation of local water flow changes, using encrypted grids to treat each bridge pier as land, and then determining the head loss by analyzing the relationship between water flow changes and grids. However, this method is suitable for the case where the number of piers is small. In actual projects, the number of piers is often large, reaching hundreds or even thousands, and the pier diameter is small, which makes the grid aspect ratio unreasonable and the density is large; when analyzing the relationship between water flow changes and bridge piers, due to the limitations of water flow changes and the large grid density, the analysis of head loss does not conform to the actual situation, and the obtained head loss is not accurate enough. Summary of the invention

[0004] In view of this, the present invention provides an analysis method, device, equipment, medium and product for the water blocking effect of a bridge group to solve the problem of inaccurate head loss.

[0005] In a first aspect, the present invention provides an analysis method for the water blocking effect of a bridge group, comprising: constructing a bridge-river channel model according to channel characteristic parameters and bridge characteristic parameters, wherein the channel characteristic parameters are used to characterize the hydraulic geometric parameters of the river channel, and the bridge characteristic parameters are used to characterize the structural geometric parameters of a group of cross-river bridges, and the bridge-river channel model is a simulation model of a group of cross-river bridges and a river channel; performing water blocking analysis on the bridge-river channel model to obtain an influencing factor, wherein the influencing factor represents the factor that affects the mechanical energy loss of the water flow in the river channel during movement caused by the group of cross-river bridges; constructing a first target relationship according to the influencing factor, and the first target relationship is used to characterize the group of cross-river bridges. The correlation between the head loss coefficient of a single bridge and the influencing factor in the analysis is obtained; based on the first target relationship and the bridge layout density, a second target relationship is constructed, and the second target relationship is used to characterize the correlation between the head loss coefficients of multiple bridges in the cross-river bridge group and the influencing factors; according to the acquired pier influence information and the second target relationship, a target head loss is generated to analyze the water blocking effect of the cross-river bridge group according to the target head loss, the pier influence information is used to characterize the effect of water flow on the head loss when passing through the piers, and the target head loss is used to characterize the effect of the cross-river bridge group on the water flow in the river during movement.

[0006] The present invention constructs a bridge-channel model for simulating a group of cross-river bridges and a river channel, performs water resistance analysis on the bridge-channel model, obtains the influencing factors of the cross-river bridge group on the mechanical energy loss of the water flow in the river channel during movement, and constructs a first target relationship formula for characterizing the correlation between the head loss coefficient of a single bridge in the cross-river bridge group and the influencing factors based on the influencing factors. Based on the first target relationship formula and the bridge arrangement density, a second target relationship formula is constructed to clarify the correlation between the head loss coefficients of multiple bridges in the cross-river bridge group and the influencing factors. The present invention generates a target head loss based on the acquired pier influence information and the second target relationship formula to analyze the water resistance effect of the cross-river bridge group according to the target head loss. The present invention analyzes the target head loss of the cross-river bridge group in combination with the influencing factors and the pier influence information, and the obtained target head loss is more in line with the actual situation and more accurate, so that the analysis of the water resistance effect of the cross-river bridge group according to the target head loss is more accurate.

[0007] In an optional implementation, a water resistance analysis is performed on the bridge-river channel model to obtain an influencing factor, including: conducting a hydraulic model test on the bridge-river channel model, analyzing the factors that affect the mechanical energy loss of the water flow in the river during movement by a group of cross-river bridges, and obtaining the influencing factor.

[0008] The present invention analyzes the influence of the construction of a group of cross-river bridges on the water flow in the river more intuitively before and after the construction of the group of cross-river bridges based on the hydraulic model test. Through the hydraulic model test, the factors affecting the mechanical energy loss of the water flow in the river during the movement of the group of cross-river bridges are analyzed, and the influencing factors that are more in line with the actual situation are obtained.

[0009] In an optional embodiment, a second target relationship is constructed based on the first target relationship and the bridge layout density, including: generating the bridge layout density according to the acquired bridge spacing and pier section lengths of multiple bridges in the cross-river bridge group; and constructing the second target relationship according to the first target relationship and the bridge layout density corresponding to the multiple bridges in the cross-river bridge group.

[0010] In an optional embodiment, a bridge arrangement density is generated based on the acquired bridge spacing and pier cross-sectional lengths of multiple bridges in a river-crossing bridge group, including: adding the first pier cross-sectional length of the first bridge and the second pier cross-sectional length of the second bridge in the river-crossing bridge group to obtain a target pier cross-sectional length, and the multiple bridges in the river-crossing bridge group are arranged in sequence from upstream to downstream, and the first bridge and the second bridge are the last two bridges in the arrangement sequence of the river-crossing bridge group; the bridge arrangement density is generated based on the quotient of the bridge spacing between the first bridge and the second bridge and the target pier cross-sectional length.

[0011] In an optional embodiment, the pier influence information includes the pier width, water depth parameters and the water level difference between the upstream and downstream of the cross-river bridge group; based on the acquired pier influence information and the second target relationship, a target head loss is generated, including: taking the reciprocal of the second target relationship to obtain the reciprocal result, taking the square root of the reciprocal result to obtain a first operation result; multiplying the water level difference between the upstream and downstream of the cross-river bridge group by a preset multiple of the gravitational acceleration to obtain a multiplication result, taking the square root of the multiplication result to obtain a second operation result; multiplying the first operation result, the water depth parameter, the pier width and the second operation result to obtain the target head loss.

[0012] In an optional implementation, the influencing factors include a cross-sectional shape factor, a cross-sectional aspect ratio factor, a water blocking flow ratio factor, a span ratio factor, a staggered distance factor, and an angle factor.

[0013] In a second aspect, the present invention provides an analysis device for the water blocking effect of a bridge group, including: a bridge-river channel model construction module, which is used to construct a bridge-river channel model according to the characteristic parameters of the river channel and the characteristic parameters of the bridge, the river channel characteristic parameters are used to characterize the hydraulic geometric parameters of the river channel, the bridge characteristic parameters are used to characterize the structural geometric parameters of the cross-river bridge group, and the bridge-river channel model is a simulation model of the cross-river bridge group and the river channel; a water blocking analysis module, which is used to perform water blocking analysis on the bridge-river channel model to obtain an influencing factor, which indicates the factor that affects the mechanical energy loss of the water flow in the river channel during movement caused by the cross-river bridge group; a first target relationship construction module, which is used to construct a first target relationship according to the influencing factor, and the first target relationship is used to characterize The correlation between the head loss coefficient and the influencing factor of a single bridge in a group of cross-river bridges; a second target relationship construction module, which is used to construct the second target relationship based on the first target relationship and the bridge layout density, and the second target relationship is used to characterize the correlation between the head loss coefficients and the influencing factors of multiple bridges in the group of cross-river bridges; a water blocking impact analysis module, which is used to generate the target head loss according to the acquired pier impact information and the second target relationship, so as to analyze the water blocking impact of the cross-river bridge group according to the target head loss, the pier impact information is used to characterize the impact of water flow on the head loss when passing through the piers, and the target head loss is used to characterize the impact of the cross-river bridge group on the water flow in the river during movement.

[0014] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for analyzing the water blocking effect of a bridge group according to the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for analyzing the water blocking effect of a bridge group according to the first aspect or any corresponding embodiment thereof.

[0016] In a fifth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the method for analyzing the water blocking effect of a bridge group according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the related technologies, the drawings required for use in the specific embodiments or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 is a flow chart of a method for analyzing water blocking effects of a bridge group according to an embodiment of the present invention;

[0019] Figure 2 is a schematic diagram of characteristic parameters of a river channel according to an embodiment of the present invention;

[0020] Figure 3 is a schematic diagram of constructing a river-spanning bridge according to an embodiment of the present invention;

[0021] Figure 4 is a flow chart of another method for analyzing water blocking effects of a bridge group according to an embodiment of the present invention;

[0022] Figure 5 is a flow chart of another method for analyzing water blocking effects of a bridge group according to an embodiment of the present invention;

[0023] Figure 6 is a schematic diagram of cumulative impact point identification of a bridge group according to an embodiment of the present invention;

[0024] Figure 7 is a structural block diagram of a device for analyzing water blocking effects of a bridge group according to an embodiment of the present invention;

[0025] Figure 8 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0027] With the rapid development of urban construction, cross-river bridges are widely and densely distributed. The construction of cross-river bridges has played an important role in improving transportation and prospering the economy. However, since the bridge piers occupy the river section and affect the original flow capacity of the river, when building cross-river bridges, it is necessary to consider the impact of the cross-river bridge on the river flow.

[0028] In related technologies, simulation calculations of river-crossing bridge piers mainly use digital simulation of local water flow changes, and use encrypted grids to treat each pier as land. However, in actual projects, the number of piers often reaches hundreds or even thousands, and the pier diameter is small, which will make the grid size too small and the number too large, resulting in low simulation efficiency. In addition, compared with local water flow changes, actual projects are often more concerned about the impact of cross-river bridge construction on large-scale flow fields.

[0029] An embodiment of the present invention provides a method for analyzing the water-blocking effect of a bridge group. By analyzing the factors affecting the head loss, the influencing factors are combined with the head loss to achieve a more accurate analysis of the water-blocking effect of a bridge group across a river.

[0030] According to an embodiment of the present invention, an embodiment of a method for analyzing the water blocking effect of a bridge group is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0031] In this embodiment, a method for analyzing the water blocking effect of a bridge group is provided, which can be used in computer equipment. Figure 1 FIG. 4 is a flow chart of a method for analyzing water blocking effects of a bridge group according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0032] Step S101, constructing a bridge-river model according to the channel characteristic parameters and the bridge characteristic parameters. The channel characteristic parameters are used to characterize the hydraulic geometric parameters of the river, and the bridge characteristic parameters are used to characterize the structural geometric parameters of the bridge group. The bridge-river model is a simulation model of the cross-river bridge group and the river.

[0033] Among them, Figure 2 The figure shows the schematic diagram of the characteristic parameters of the river channel, which include the length of the river channel L, the length corresponding to the head loss Lh, and the vertical height difference Δ h, the cross section A of the river section, the cross section B of the river section, the volume flow rate Qv and the water depth h. Among them, the river length L is the total length of the river from the starting point to the end point, the head loss corresponding length Lh is the length corresponding to the energy loss caused by the resistance during the flow of water, the vertical height difference Δh is the height difference between the cross section A of the river section and the cross section B of the river section in the vertical direction, the volume flow rate Qv is the volume of water passing through the cross section A of the river section per unit time, and the water depth h is the vertical distance from the water surface to the bottom of the water.

[0034] In some optional implementations, a river-crossing bridge group is a bridge group consisting of multiple adjacent or interrelated bridges within a certain river section or river basin of the same river. The river-crossing bridge group includes multiple bridges. In the embodiment of the present invention, the multiple bridges are the same, such as Figure 3 The figure shows a schematic diagram of the construction of a bridge across a river, including abutments, piers, superstructure and foundation. The abutments are located at both ends of the bridge. There is one abutment on the left and right sides in the figure. The abutments support the ends of the bridge and transfer the load of the bridge to the foundation. The piers are located between the abutments. There are 3 piers in the figure. The number of piers can be set according to actual conditions. The piers are columns that vertically support the superstructure of the bridge. The piers transfer the weight and load of the bridge to the foundation. The superstructure is located above the piers and abutments and is the main load-bearing part of the bridge. The superstructure usually includes beams, plates and other components to bear weight and transfer the load to the piers and abutments. The foundation is located at the bottom of the piers and abutments. The foundation is the key part that transfers the load of the bridge to the foundation to ensure the stability of the bridge.

[0035] In the embodiment of the present invention, the characteristic parameters of the bridge may include: pier shape, pier section length-width ratio, ratio of pier width to length on the flow-facing surface, span and spacing, etc. Among them, the pier shape refers to the geometric shape of the pier in space, which may be rectangular, circular, elliptical, streamlined, etc.; the pier section length-width ratio refers to the ratio of the length to the width of the pier section; the ratio of the pier width to the length on the flow-facing surface refers to the ratio of the pier width in the water flow direction to the length perpendicular to the water flow direction; the span refers to the horizontal distance between two adjacent piers or abutments of the bridge; the spacing refers to the spacing between the piers, that is, the distance between the center lines of two adjacent piers.

[0036] Step S102, performing water blocking analysis on the bridge-river model to obtain an influencing factor, which represents the factor affecting the mechanical energy loss of the water flow in the river during movement caused by the group of bridges across the river.

[0037] In some optional embodiments, a water resistance analysis is performed on the bridge-river channel model to obtain an influencing factor, including: conducting a hydraulic model test on the bridge-river channel model, analyzing the factors that affect the mechanical energy loss of the water flow in the river during movement by a group of cross-river bridges, and obtaining the influencing factor.

[0038] Among them, a mechanical energy loss analysis is performed on the bridge-river channel model to obtain mechanical energy loss data, an influencing factor analysis is performed on the bridge-river channel model to obtain influencing factor data, the mechanical energy data and the influencing factor data are correlated to determine the degree of influence of each influencing factor on the mechanical energy loss and obtain the influencing factor.

[0039] In some optional implementations, the influencing factors include a cross-sectional shape factor, a cross-sectional aspect ratio factor, a water-blocking flow ratio factor, a span ratio factor, a staggered distance factor, and an angle factor.

[0040] Among them, the cross-sectional shape factor refers to the influencing parameter of the cross-sectional geometry of the pier on the water flow resistance; the cross-sectional aspect ratio factor refers to the influencing parameter of the ratio of the cross-sectional length to the width of the pier on the water flow resistance; the water-blocking flow ratio factor refers to the ratio of the water flow blocked by the bridge structure to the total flow of the river; the span ratio factor refers to the influencing parameter of the ratio of the bridge span to the river width on the water flow resistance; the staggered distance factor is the influencing parameter of the staggered distance of the piers of adjacent bridges in a group of cross-river bridges on the water flow resistance; the angle factor refers to the influencing parameter of the angle between the bridge and the water flow direction on the water flow resistance.

[0041] Step S103: construct a first target relationship expression according to the influencing factors, wherein the first target relationship expression is used to characterize the correlation between the head loss coefficient of a single bridge in the group of river-spanning bridges and the influencing factors.

[0042] In some optional implementations, the first target relationship is:

[0043]

[0044] Where ξ is the head loss coefficient of a single bridge, C is a constant, K is the cross-sectional shape factor, is the cross-sectional aspect ratio factor, a is the cross-sectional length of the pier, b is the cross-sectional width of the pier, is the water blocking flow ratio factor, Q is the total flow of the river, Σq i is the water flow blocked by the i-th bridge pier, is the span ratio factor, L is the width of the river surface without a bridge, l x is the span, Δa is the offset distance factor, and β is the angle factor.

[0045] Step S104: construct a second target relationship based on the first target relationship and the bridge arrangement density, where the second target relationship is used to characterize the correlation between the head loss coefficients of multiple bridges in the river-crossing bridge group and the influencing factors.

[0046] Among them, multiple bridges distributed from top to bottom along the water flow direction on the river channel constitute a group of cross-river bridges. The bridge arrangement density is used to characterize the compactness of the bridge distribution. The generation process of the bridge arrangement density includes: adding the cross-sectional length of the first pier of the first bridge and the cross-sectional length of the second pier of the second bridge in the cross-river bridge group to obtain the target pier cross-sectional length. Multiple bridges in the cross-river bridge group are arranged in sequence from upstream to downstream, and the first bridge and the second bridge are the last two bridges in the arrangement sequence of the cross-river bridge group; the bridge arrangement density is generated according to the quotient of the bridge spacing between the first bridge and the second bridge and the target pier cross-sectional length.

[0047] The formula for determining bridge layout density is:

[0048]

[0049] Where D is the bridge layout density, a n-1 is the cross-sectional length of the first pier of the n-1th bridge (i.e. the first bridge), a n a n-1 is the cross-sectional length of the second pier of the nth bridge (i.e. the second bridge), is the distance between the n-1th bridge (i.e., the first bridge) and the nth bridge (i.e., the second bridge).

[0050] The second objective relationship is:

[0051]

[0052] in, is the head loss coefficient of the bridge group across the river, Br1 is the number of the first bridge, Br2 is the number of the second bridge, Br3 is the number of the third bridge, and Br n is the number of the nth bridge, is the head loss coefficient of the first bridge, is the head loss coefficient of the second bridge, is the head loss coefficient of the third bridge, is the head loss coefficient of the nth bridge, and D is the bridge layout density.

[0053] Step S105, based on the acquired pier influence information and the second target relationship, a target head loss is generated to analyze the water blocking effect of the cross-river bridge group based on the target head loss. The pier influence information is used to characterize the effect of water flow on the head loss when passing through the piers, and the target head loss is used to characterize the effect of the cross-river bridge group on the water flow in the river during its movement.

[0054] In some optional embodiments, the pier influence information includes the pier width, water depth parameters, and the water level difference between the upstream and downstream of the cross-river bridge group; based on the acquired pier influence information and the second target relationship, a target head loss is generated, including: taking the reciprocal of the second target relationship to obtain the reciprocal result, taking the square root of the reciprocal result to obtain a first operation result; multiplying the water level difference between the upstream and downstream of the cross-river bridge group by a preset multiple of the gravitational acceleration to obtain a multiplication result, taking the square root of the multiplication result to obtain a second operation result; multiplying the first operation result, the water depth parameter, the pier width, and the second operation result to obtain the target head loss.

[0055] The formula for generating the target head loss is:

[0056]

[0057] Where Q is the target head loss, is the head loss coefficient of the bridge group across the river, H is the water depth parameter, B is the pier width, ΔZ is the water level difference between the upstream and downstream of the bridge group across the river, and g is the gravitational acceleration.

[0058] The present embodiment provides an analysis method for the water-blocking effect of a bridge group, constructs a bridge-channel model for simulating a bridge group and a river channel, performs water-blocking analysis on the bridge-channel model, obtains the influencing factors of the bridge group on the mechanical energy loss of the water flow in the river channel during movement, and constructs a first target relationship formula for characterizing the correlation between the head loss coefficient of a single bridge in the bridge group and the influencing factors based on the influencing factors. Based on the first target relationship formula and the bridge arrangement density, a second target relationship formula is constructed to clarify the correlation between the head loss coefficients of multiple bridges in the bridge group and the influencing factors. The present invention generates a target head loss based on the acquired pier influence information and the second target relationship formula to analyze the water-blocking effect of the bridge group based on the target head loss. The present invention analyzes the target head loss of the bridge group based on the influencing factors and the pier influence information, and the obtained target head loss is more in line with the actual situation and more accurate, so that the analysis of the water-blocking effect of the bridge group based on the target head loss is more accurate.

[0059] In this embodiment, a method for analyzing the water blocking effect of a bridge group is provided, which can be used in computer equipment. Figure 4 FIG. 4 is a flow chart of another method for analyzing water blocking effects of a bridge group according to an embodiment of the present invention. Figure 4 As shown, the process includes the following steps:

[0060] Step S401, construct a bridge-river model based on the channel characteristic parameters and bridge characteristic parameters. The channel characteristic parameters are used to characterize the hydraulic geometric parameters of the river, and the bridge characteristic parameters are used to characterize the structural geometric parameters of the bridge group. The bridge-river model is a simulation model of the bridge group and the river. For details, please refer to Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0061] Step S402, performing water blocking analysis on the bridge-river model to obtain an influencing factor, which represents the factor affecting the mechanical energy loss of the water flow in the river during movement caused by the group of bridges across the river.

[0062] Specifically, the above step S402 includes:

[0063] Step S4021, conduct a hydraulic model test on the bridge-river model, analyze the factors that affect the mechanical energy loss of the water flow in the river during movement caused by the group of cross-river bridges, and obtain the influencing factors.

[0064] Step S403: construct a first target relationship based on the influencing factors. The first target relationship is used to characterize the correlation between the head loss coefficient of a single bridge in the river-crossing bridge group and the influencing factors. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0065] Step S404: construct a second target relationship based on the first target relationship and the bridge arrangement density, where the second target relationship is used to characterize the correlation between the head loss coefficients of multiple bridges in the river-crossing bridge group and the influencing factors.

[0066] Specifically, the above step S404 includes:

[0067] Step S4041, generating a bridge arrangement density according to the acquired bridge spacings and pier section lengths of multiple bridges in the river-crossing bridge group.

[0068] In some optional implementations, the above step S4041 includes:

[0069] Step a1, add the cross-sectional length of the first pier of the first bridge and the cross-sectional length of the second pier of the second bridge in the river-crossing bridge group to obtain the target pier cross-sectional length. Multiple bridges in the river-crossing bridge group are arranged in sequence from upstream to downstream, and the first bridge and the second bridge are the last two bridges in the arrangement sequence of the river-crossing bridge group.

[0070] Step a2, generating a bridge arrangement density according to the quotient of the bridge spacing between the first bridge and the second bridge and the target pier cross-sectional length.

[0071] Step S4042: construct a second target relationship expression according to the first target relationship expressions and bridge arrangement densities corresponding to the plurality of bridges in the river-spanning bridge group.

[0072] Step S405: Generate a target head loss based on the acquired pier influence information and the second target relationship, so as to analyze the water blocking effect of the bridge group across the river based on the target head loss. The pier influence information is used to characterize the effect of water flow on the head loss when the water flows through the piers, and the target head loss is used to characterize the effect of the bridge group across the river on the water flow in the river during the movement process. For details, please refer to Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0073] The analysis method of the water-blocking effect of a bridge group provided in this embodiment is based on hydraulic model tests to more intuitively analyze the impact of a cross-river bridge group on the water flow in the river before and after the construction. Through hydraulic model tests, the factors affecting the mechanical energy loss of the water flow in the river during the movement of the cross-river bridge group are analyzed to obtain influencing factors that are more in line with the actual situation.

[0074] In this embodiment, a method for analyzing the water blocking effect of a bridge group is provided, which can be used in computer equipment. Figure 5 FIG. 4 is a flow chart of another method for analyzing water blocking effects of a bridge group according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0075] Step S501, process the river channel and bridge group information data to establish a large-scale flow field model.

[0076] Among them, the large-scale flow field model is a mathematical model or computational model used to describe and predict fluid flow phenomena in a larger spatial range.

[0077] Step S502, conducting a hydraulic model test of bridge water blocking to analyze the influencing factors of bridge water blocking and the changing rules of related parameters.

[0078] In some optional implementations, a hydraulic model test of bridge water blocking is carried out, including: constructing a bridge-river channel model according to the characteristic parameters of the river channel and the characteristic parameters of the bridge, conducting a hydraulic model test on the bridge-river channel model, analyzing the factors that affect the mechanical energy loss of the water flow in the river channel during movement caused by the group of cross-river bridges, and obtaining the influencing factors.

[0079] Step S503: Establish an analytical expression for the water head loss coefficient of the bridge group and the main influencing factors. Figure 1 Step S103 and step S104 of the illustrated embodiment will not be described in detail here.

[0080] Step S504, calculating the cumulative flood control impact of bridge groups under large-scale flow field conditions.

[0081] Among them, the cumulative impact of flood control can be understood as the water blocking impact of the cross-river bridge group. Figure 1 In step S105 of the illustrated embodiment, a target head loss is generated based on the acquired pier influence information and the second target relationship, so as to analyze the water blocking influence of the river-crossing bridge group based on the target head loss. The area with the greatest water blocking influence of the river-crossing bridge group can be analyzed based on the target head loss.

[0082] Step S505, determining the cumulative influence points of the bridge group.

[0083] In some optional implementations, the flow conditions with and without bridges across the river are simulated in a large-scale flow field model, and the highest water level process line along the river is drawn. The point with the largest water level difference is the cumulative impact point of the bridge group, such as Figure 6 As shown in the figure, it is a schematic diagram for identifying the cumulative influence points of a bridge group. The part enclosed by a dotted circle is the cumulative influence point.

[0084] The analysis method of the water-blocking effect of a bridge group provided in this embodiment obtains the area with the greatest water-blocking effect of a river-crossing bridge group by generating a target head loss, and verifies the accuracy of the target head loss by comparing the cumulative impact points with the area with the greatest water-blocking effect of the river-crossing bridge group. When the cumulative impact points are consistent with the area with the greatest water-blocking effect of the river-crossing bridge group, it indicates that the target head loss is relatively accurate. If the cumulative impact points are inconsistent with the area with the greatest water-blocking effect of the river-crossing bridge group, and the difference is large, it indicates that the target head loss is inaccurate.

[0085] In this embodiment, a device for analyzing the water blocking effect of a bridge group is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0086] This embodiment provides a device for analyzing the water blocking effect of a bridge group. Figure 7 As shown, including:

[0087] The bridge-river model construction module 701 is used to construct a bridge-river model based on the river characteristic parameters and the bridge characteristic parameters. The river characteristic parameters are used to characterize the hydraulic geometric parameters of the river, and the bridge characteristic parameters are used to characterize the structural geometric parameters of the bridge group. The bridge-river model is a simulation model of the cross-river bridge group and the river.

[0088] The water blocking analysis module 702 is used to perform water blocking analysis on the bridge-river model to obtain an influencing factor, which represents the factor that affects the mechanical energy loss of the water flow in the river during movement caused by the group of cross-river bridges.

[0089] The first target relationship formula construction module 703 is used to construct a first target relationship formula according to the influencing factors, and the first target relationship formula is used to characterize the correlation between the head loss coefficient of a single bridge in the group of cross-river bridges and the influencing factors.

[0090] The second target relationship formula construction module 704 is used to construct a second target relationship formula based on the first target relationship formula and the bridge arrangement density, and the second target relationship formula is used to characterize the correlation between the head loss coefficients of multiple bridges in the cross-river bridge group and the influencing factors.

[0091] The water blocking impact analysis module 705 is used to generate a target head loss based on the acquired pier impact information and the second target relationship, so as to analyze the water blocking impact of the cross-river bridge group based on the target head loss. The pier impact information is used to characterize the impact of water flow on the head loss when passing through the piers, and the target head loss is used to characterize the impact of the cross-river bridge group on the water flow in the river during its movement.

[0092] In some optional implementations, the water blocking analysis module 702 includes:

[0093] The water blocking analysis unit is used to conduct hydraulic model tests on bridge-river models, analyze the factors that affect the mechanical energy loss of water flow in the river during movement caused by the group of cross-river bridges, and obtain the influencing factors.

[0094] In some optional implementations, the second target relation formula building module 704 includes:

[0095] The bridge arrangement density determination unit is used to generate the bridge arrangement density according to the bridge spacing and pier section lengths of multiple bridges in the river-crossing bridge group obtained.

[0096] The second target relational expression constructing unit is used to construct the second target relational expression according to the first target relational expressions and bridge arrangement density respectively corresponding to the plurality of bridges in the river-crossing bridge group.

[0097] In some optional implementations, the bridge arrangement density determining unit includes:

[0098] The pier section length determination subunit is used to add the first pier section length of the first bridge and the second pier section length of the second bridge in the cross-river bridge group to obtain the target pier section length. Multiple bridges in the cross-river bridge group are arranged in sequence from upstream to downstream, and the first bridge and the second bridge are the last two bridges in the arrangement sequence of the cross-river bridge group.

[0099] The bridge arrangement density generating subunit is used to generate the bridge arrangement density according to the quotient of the bridge spacing between the first bridge and the second bridge and the target pier section length.

[0100] In some optional implementations, the water blocking impact analysis module 705 includes:

[0101] The first operation result determination unit is used to take the reciprocal of the second target relationship expression to obtain the reciprocal result, and perform square root operation on the reciprocal result to obtain the first operation result.

[0102] The second operation result determination unit is used to multiply the water level difference between the upstream and downstream of the cross-river bridge group by a preset multiple of gravity acceleration to obtain a multiplication result, and perform square root operation on the multiplication result to obtain a second operation result.

[0103] The water head loss generating unit is used to multiply the first operation result, the water depth parameter, the bridge pier width and the second operation result to obtain the target water head loss.

[0104] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0105] The analysis device for the water-blocking effect of a bridge group in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0106] The embodiment of the present invention also provides a computer device having the above Figure 7 The analysis device for the water blocking effect of a group of bridges shown.

[0107] See also Figure 8 , Figure 8 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 8As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 8 A processor 10 is taken as an example.

[0108] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0109] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0110] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0111] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0112] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0113] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0114] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0115] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for analyzing the water blocking effect of a bridge group, characterized in that: The method comprises: A bridge-river model is constructed according to the characteristic parameters of the river channel and the characteristic parameters of the bridge. The characteristic parameters of the river channel are used to characterize the hydraulic geometric parameters of the river channel, and the characteristic parameters of the bridge are used to characterize the structural geometric parameters of the bridge group across the river. The bridge-river model is a simulation model of the bridge group across the river and the river channel. Performing water blocking analysis on the bridge-river model to obtain an influencing factor, wherein the influencing factor represents the factor affecting the mechanical energy loss of the water flow in the river during movement caused by the group of bridges across the river; According to the influencing factors, a first target relationship is constructed, where the first target relationship is used to characterize the correlation between the head loss coefficient of a single bridge in the group of river-spanning bridges and the influencing factors; Based on the first target relationship and the bridge arrangement density, a second target relationship is constructed, where the second target relationship is used to characterize the correlation between the head loss coefficients of the plurality of bridges in the group of bridges across the river and the influencing factors; According to the acquired pier influence information and the second target relationship, a target head loss is generated to analyze the water blocking effect of the cross-river bridge group according to the target head loss. The pier influence information is used to characterize the effect of water flow on the head loss when passing through the piers, and the target head loss is used to characterize the effect of the cross-river bridge group on the water flow in the river during its movement.

2. The method according to claim 1, characterized in that The water blocking analysis of the bridge channel model is performed to obtain influencing factors, including: A hydraulic model test is carried out on the bridge-river model to analyze the factors affecting the mechanical energy loss of the water flow in the river during movement caused by the group of river-spanning bridges, and to obtain the influencing factors.

3. The method according to claim 1 or 2, characterized in that: The constructing a second target relationship based on the first target relationship and the bridge arrangement density includes: Generating a bridge arrangement density according to the obtained bridge spacings and pier cross-sectional lengths of the plurality of bridges in the river-crossing bridge group; The second target relationship equation is constructed according to the first target relationship equations and the bridge arrangement density respectively corresponding to the plurality of bridges in the river-spanning bridge group.

4. The method according to claim 3, characterized in that Generating the bridge arrangement density according to the acquired bridge spacings and pier section lengths of the plurality of bridges in the river-spanning bridge group includes: Adding a first pier section length of a first bridge and a second pier section length of a second bridge in the group of river-crossing bridges to obtain a target pier section length, wherein the plurality of bridges in the group of river-crossing bridges are arranged in sequence from upstream to downstream, and the first bridge and the second bridge are the last two bridges in the arrangement sequence of the group of river-crossing bridges; The bridge arrangement density is generated according to a quotient of the bridge distance between the first bridge and the second bridge and the target pier cross-sectional length.

5. The method according to claim 1 or 2, characterized in that: The pier influence information includes pier width, water depth parameters, and the water level difference between the upstream and downstream of the bridge group across the river; generating a target water head loss according to the acquired pier influence information and the second target relationship, including: Taking the reciprocal of the second target relationship expression to obtain a reciprocal result, performing a square root operation on the reciprocal result to obtain a first operation result; Multiplying the water level difference between the upstream and downstream of the group of bridges across the river by a preset multiple of gravity acceleration to obtain a multiplication result, and performing a square root operation on the multiplication result to obtain a second operation result; The target head loss is obtained by multiplying the first calculation result, the water depth parameter, the pier width and the second calculation result.

6. The method according to claim 1 or 2, characterized in that: The influencing factors include a cross-sectional shape factor, a cross-sectional aspect ratio factor, a water-blocking flow ratio factor, a span ratio factor, a staggered distance factor, and an angle factor.

7. An analysis device for water blocking effect of bridge groups, characterized in that: The device comprises: A bridge-river model construction module is used to construct a bridge-river model according to the characteristic parameters of the river and the characteristic parameters of the bridge. The characteristic parameters of the river are used to characterize the hydraulic geometric parameters of the river, and the characteristic parameters of the bridge are used to characterize the structural geometric parameters of the bridge group across the river. The bridge-river model is a simulation model of the bridge group across the river and the river. A water blocking analysis module, used to perform water blocking analysis on the bridge-river model to obtain an impact factor, wherein the impact factor represents the factor affecting the mechanical energy loss of the water flow in the river during movement caused by the group of bridges across the river; A first target relationship formula construction module, used to construct a first target relationship formula according to the influencing factor, wherein the first target relationship formula is used to characterize the correlation relationship between the head loss coefficient of a single bridge in the group of cross-river bridges and the influencing factor; A second target relationship formula construction module, used to construct a second target relationship formula based on the first target relationship formula and the bridge arrangement density, wherein the second target relationship formula is used to characterize the correlation relationship between the head loss coefficients of the multiple bridges in the cross-river bridge group and the influencing factors; The water blocking impact analysis module is used to generate a target head loss based on the acquired pier impact information and the second target relationship, so as to analyze the water blocking impact of the cross-river bridge group based on the target head loss. The pier impact information is used to characterize the impact of water flow on the head loss when passing through the piers, and the target head loss is used to characterize the impact of the cross-river bridge group on the water flow in the river during its movement.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for analyzing the water blocking effect of a bridge group according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for analyzing the water blocking effect of a bridge group according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method for analyzing the water blocking effect of a bridge group according to any one of claims 1 to 6.

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