A method, medium and system for calculating the flow reduction rate of a debris flow of a wedge beam type grid dam

Abstract

The present application relates to the technical field of hydraulic engineering, and specifically provides a wedge-shaped beam type grid dam debris flow flow reduction rate calculation method, medium and system, aiming to solve the technical problem that the traditional model for predicting the peak flow reduction rate of debris flow is not suitable for new optimized structures. A wedge-shaped beam type grid dam structure is proposed, and through a flume test, five key control factors, including debris flow bulk density, scale, channel slope, relative opening width and wedge structure angle, are systematically considered to build an empirical and theoretical double calculation model. This method establishes a precise peak flow reduction rate prediction model by dimensionless processing of the control factors, solving the problem of insufficient parameter consideration in traditional methods. Test data verification shows that the model prediction results are reliable, significantly improving the accuracy of the evaluation of the peak flow regulation effect of debris flow, and providing a scientific basis and practical tool for disaster risk prevention and control and prevention engineering design of major projects in mountainous areas.

Description

Technical Field

[0001] This invention relates to the field of water conservancy engineering technology, specifically to a method, medium, and system for calculating the debris flow reduction rate of a wedge-shaped beam grid dam. Background Technology

[0002] Debris flows are a widespread and severe sudden geological disaster in mountainous areas of my country. With the advancement of major projects such as the Sichuan-Tibet Railway, their threat has become increasingly prominent. Traditional solid retaining dams (such as gravity dams) have revealed core defects in practical applications, including poor permeability, easy siltation of reservoirs, and easy damage to the dam foundation. Not only is their disaster reduction function short-lived, but they themselves and the deposited debris may also become secondary debris sources, exacerbating downstream risks.

[0003] To overcome the drawbacks of solid dams, permeable dams (such as grid dams) have emerged, with their "blocking coarse debris and discharging fine debris" concept being more eco-friendly. However, the development of this type of dam faces two major bottlenecks: First, design theory lags far behind engineering practice; current designs rely heavily on subjective experience and lack universal theoretical models, leading to significant uncertainty in functional implementation. Second, the structural function and mechanism are unclear; existing structural optimizations focus primarily on interception and discharge effects and stability, while generally neglecting fundamental innovation from the perspective of debris flow trajectory and energy dissipation.

[0004] Crucially, existing prediction models for the peak debris flow reduction rate, a core indicator for measuring the effectiveness of regulation, have significant shortcomings. Most models fail to adequately incorporate the influence of the critical factor of "debris flow scale" into the control parameters considered (such as unit weight and channel slope), thus limiting prediction accuracy. Therefore, when dam structures evolve to novel optimized structures like the wedge-beam grid dam described in this invention, traditional models are no longer applicable.

[0005] In summary, the field urgently needs a precise and reliable method for calculating peak flow reduction rate that can closely integrate the structural characteristics of new dams and systematically consider key control factors such as debris flow scale, in order to fill the gap between theory and design practice. Summary of the Invention

[0006] To address the technical problem that traditional models for predicting peak debris flow reduction rates are not applicable to novel optimized structures such as wedge-beam grid dams, this invention provides a method for calculating the debris flow reduction rate of wedge-beam grid dams. This provides a scientific, accurate, and practical method for calculating and designing peak debris flow reduction rates, which has significant theoretical and engineering application value.

[0007] The technical solution of this invention is:

[0008] A method for calculating the debris flow reduction rate of a wedge-beam grid dam includes the following steps:

[0009] S10. On-site parameter acquisition: Select a cross-section suitable for dam construction in the debris flow basin, and determine the debris flow unit weight and solid matter concentration through on-site investigation and testing. The mud depth h and gully slope of the debris flow at the cross-section in front of the dam ;

[0010] S20. Dam body parameter design: Preliminary determination of the dam height H of the wedge-beam grid dam, and calculation of the ratio of debris flow scale to reservoir capacity of the wedge-beam grid dam. Or, preset the design capacity ratio. Then, calculate the dam height H of the wedge-shaped beam grid dam;

[0011] S30. Determine the opening width, obtain particle size distribution curves at multiple locations within the debris flow basin, and select the overall particle size distribution curve of the basin based on the proportion of large particles within the basin. Then, determine the characteristic particle size d of the debris flow samples from this debris flow basin. 95 Determine the opening width b of the wedge-shaped beam grid dam;

[0012] S40, Calculation of flow reduction rate.

[0013] Optionally, in step S10, the concentration of solid matter... Calculated using the following formula:

[0014] ;

[0015] in, The unit weight of the debris flow (kN / m³). The specific weight of water (kN / m³). The bulk density (kN / m³) of solid material carried by a debris flow.

[0016] Optionally, in step S20, the reservoir capacity of the wedge-shaped beam grid dam is calculated using the following formula:

[0017] ;

[0018] When initially determining the dam height H of the wedge-shaped beam grid dam, the reservoir capacity ratio "C"_s is calculated using the following formula:

[0019] ;

[0020] Where B is the average width of the channel of the proposed wedge-shaped grid dam section in the debris flow basin, and λ is the ratio of the angle α of the wedge-shaped grid dam structure to 60°. This represents the minimum particle size of the largest boulder within the debris flow basin. S represents the average gully slope within the cross-section of the proposed wedge-shaped grid dam, and S represents the magnitude of a single debris flow.

[0021] Optionally, in step S20, a pre-set design warehouse capacity ratio is provided. Then, the dam height H of the wedge-shaped beam grid dam is calculated using the following formula:

[0022] ;

[0023] Where B is the average width of the channel of the proposed wedge-shaped grid dam section in the debris flow basin, and λ is the ratio of the angle α of the wedge-shaped grid dam structure to 60°. This represents the minimum particle size of the largest boulder within the debris flow basin. S represents the average gully slope within the cross-section of the proposed wedge-shaped grid dam, and S represents the magnitude of a single debris flow.

[0024] Alternatively, the debris flow reduction rate can be calculated using the following formula:

[0025] ;

[0026] in, This represents the peak traffic reduction rate based on an empirical model.

[0027] Optionally, the angle of the wedge-shaped structure of the wedge-shaped beam grid dam is greater than that of the wedge-shaped beam grid dam. The value is 1.0, representing the ratio of the total solid matter from debris flows to the reservoir capacity of the wedge-shaped beam grid dam. The value is 3.0.

[0028] Alternatively, the debris flow reduction rate can be calculated using the following formula:

[0029] ;

[0030] in, For the sake of simplicity, its calculation formula is defined as follows:

[0031] ;

[0032] For wedge-shaped structure angle, The depth of the debris flow upstream of the wedge dam. The height of the wedge structure, The flow rate of debris flow upstream of the wedge dam. This is the acceleration due to gravity.

[0033] Optionally, the height of the wedge structure is set to the minimum particle size of the largest particle in the debris flow material.

[0034] A non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of a method for calculating the debris flow reduction rate of a wedge-beam grid dam.

[0035] A debris flow prevention engineering design system includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of a method for calculating the debris flow reduction rate of a wedge-beam grid dam.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] 1. Significantly improved model accuracy and reliability:

[0038] Comprehensive consideration: The debris flow scale and the dam reservoir capacity ratio are systematically introduced into the prediction model as key control parameters, which solves the prediction bias problem caused by the neglect of debris flow scale in traditional models.

[0039] Scientific parameters: The angle ratio of the wedge structure was proposed, realizing the quantitative characterization of the unique diversion effect of the wedge beam.

[0040] The complementary dual model provides an empirical model based on fitting a large amount of experimental data and a theoretical model derived from the law of conservation of energy. The two can be mutually verified, ensuring the accuracy and reliability of the calculation results and overcoming the shortcomings of poor universality of traditional single empirical formulas.

[0041] 2. Optimization of structural performance and disaster mitigation efficiency:

[0042] Active energy dissipation and flow reduction: The wedge beam structure changes the trajectory of the debris flow, guiding it to split and collide, converting the linear impact kinetic energy into oblique shear energy and eddy current dissipation, thereby achieving active energy dissipation rather than passive resistance.

[0043] Enhanced regulation capability: This structure effectively weakens the peak flow of debris flows, reducing their impact and destructive force on downstream areas. Its ability to intercept coarse debris and drain fine debris helps maintain long-term regulation capability and prevents rapid siltation and failure.

[0044] Reduce the risk of blockage: By optimizing the opening width and wedge angle, the overflow section area can be controlled, reducing the probability of large particles clogging the entire flow section, thereby maintaining the continuous permeability of the structure.

[0045] 3. Scientific engineering design:

[0046] Provides a clear design process: This invention streamlines and formalizes the design process, guiding engineers to determine key parameters (such as dam height and opening width) step by step, reducing subjectivity and blind spots in the design process.

[0047] Targeted design: The dam structure can be accurately calculated and designed according to the debris flow characteristics (density, size, particle size distribution) and terrain conditions (slope) of a specific gully, so as to achieve customized prevention and control, which changes the previous practice of simply applying existing models.

[0048] 4. Widely applicable and aligned with development philosophy:

[0049] Serving major projects: It can be directly applied to the disaster prevention design of major projects such as railways, highways, and hydropower stations threatened by debris flows, providing a scientific basis.

[0050] Ecological and long-term synergy: The permeable dam body conforms to the ecological prevention and control concept of "blocking coarse sediment and discharging fine sediment", which is conducive to the natural discharge of river sediment and ecological balance. At the same time, its adaptive regulation characteristics give the project a longer service life.

[0051] In summary, this invention, through theoretical innovation, structural optimization, and methodological integration, effectively solves the key bottleneck problem in the design of existing permeable sediment traps, and provides a scientific, accurate, and practical method for calculating and designing peak flow reduction rates for debris flows, which has significant theoretical and engineering application value. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 A schematic diagram of key parameters for a wedge-shaped beam grid dam;

[0054] Figure 2 A three-dimensional structural schematic diagram of a wedge-shaped beam grid dam model;

[0055] Figure 3 This is a top view schematic diagram of a wedge-shaped beam grid dam.

[0056] Figure 4 This is a process step diagram of the present invention. Detailed Implementation

[0057] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0058] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0059] Example 1:

[0060] See Figure 4 This embodiment discloses a method for calculating the debris flow reduction rate of a wedge-shaped beam grid dam, specifically including the following steps:

[0061] Step S10: Obtaining on-site parameters. Select a cross-section suitable for dam construction in the debris flow basin, and determine the bulk density of the debris flow and obtain the solid matter concentration through on-site investigation and testing. The mudslide depth at the dam front section and ditch slope .

[0062] The calculation method is based on the fitting of experimental data of the novel structure and flume model. It comprehensively considers the influence of five types of control factors (debris flow unit weight, debris flow scale, channel longitudinal slope gradient, relative opening width and wedge structure angle) on the debris flow reduction rate, and ensures applicability.

[0063] The control factors were dimensionless, and the concentration of solid matter in debris flow was calculated. Debris flow scale to silt retention dam capacity ratio , channel gradient tangent Relative opening width wedge structure angle ratio .

[0064] in, .

[0065] Based on the test data of the water tank model, the peak flow reduction rate The functional relationship between the control factors and the control factors is as follows:

[0066] Peak flow reduction rate Solid volume concentration with debris flow As increases, it increases, satisfying the functional relationship:

[0067]

[0068] Peak flow reduction rate With storage capacity ratio The increase of follows a pattern of first increasing and then decreasing, satisfying the functional relationship:

[0069]

[0070] Peak flow reduction rate With the gradient of the ditch As increases, it increases, satisfying the functional relationship:

[0071]

[0072] Peak flow reduction rate relative opening width of wedge-shaped beam grid dam The increase of follows a pattern of first increasing and then decreasing, satisfying the functional relationship:

[0073]

[0074] Peak flow reduction rate With the wedge structure angle ratio As increases, it increases, satisfying the functional relationship:

[0075]

[0076] In step S10, the concentration of solid matter Calculated using the following formula:

[0077] ;

[0078] in, The unit weight of the debris flow (kN / m³). The specific weight of water (kN / m³). The bulk density (kN / m³) of solid material carried by a debris flow.

[0079] S20. Dam body parameter design: Preliminary determination of the dam height H of the wedge-beam grid dam, and calculation of the ratio of debris flow scale to reservoir capacity of the wedge-beam grid dam. Or, preset the design capacity ratio. Then, the dam height H of the wedge-shaped beam grid dam is calculated.

[0080] In step S20, the reservoir capacity of the wedge-shaped beam grid dam is calculated using the following formula:

[0081] ;

[0082] When the initial height of the wedge-shaped beam grid dam is determined At that time, the ratio of storage capacity to storage capacity Calculated using the following formula:

[0083] ;

[0084] Right now: ,in,

[0085] Additionally, in step S20, when the preset design warehouse capacity ratio is... The dam height of the wedge-shaped beam grid dam is calculated using the following formula. :

[0086] ;

[0087] Of the three formulas above, The average width of the channel for the proposed wedge-shaped beam grid dam cross-section in the debris flow basin. The ratio of the angle α of the wedge-shaped structure of the wedge-shaped grid dam to 60°. This represents the minimum particle size of the largest boulder within the debris flow basin. The average channel slope within the cross-sectional area of ​​the proposed wedge-shaped grid dam is given. This is the scale of a mudslide. The angle of the wedge structure of the silt trap model used in the experiment. , , , , These are five constants, determined through experiments.

[0088] S30. Determine the opening width, obtain particle size distribution curves at multiple locations in the debris flow basin, and select the overall particle size distribution curve of the basin in combination with the proportion of large particles in the basin. By determining the characteristic particle size d95 of the debris flow sample in the debris flow basin, determine the opening width b of the wedge beam grid dam.

[0089] S40. Calculation of flow reduction rate. This involves calculating the flow reduction rate for debris flows. Based on the analysis of experimental data, a final empirical model for the peak flow rate of debris flow in a wedge-beam grid dam was obtained, and the flow rate was calculated using the following formula:

[0090] ;

[0091] Among them, the angle of the wedge-shaped structure of the wedge-shaped beam grid dam is more than The value is 1.0, representing the ratio of the total solid matter from debris flows to the reservoir capacity of the wedge-shaped beam grid dam. The value is 3.0.

[0092] Alternatively, the flow reduction rate calculation in step S40 can also be performed using the following method.

[0093] First, such as Figure 1 A schematic diagram of the parameters of a wedge-shaped beam grid dam is shown. For the sake of simplifying the analysis, it is assumed that the debris flow is a "constant fluid" with the same vertical and horizontal velocities.

[0094] Then, without considering its velocity distribution, assume the unit weight of the debris flow upstream of the dam is... The average speed is The average mud depth is The volume concentration of debris flow downstream of the dam is The average speed is The average mud depth is .

[0095] This study focuses on the impact of wedge-shaped beam grid dams on debris flow. The 0-0 horizontal plane is selected as the reference plane, and analyses are conducted at the upstream section aa and the downstream interface bb. Based on the law of conservation of energy, assumptions are made... This indicates the energy loss of a debris flow as it passes through the opening of a wedge-shaped grid dam. The energy loss of debris flow through the wedge-shaped structure can be expressed by the following expression:

[0096]

[0097] In the formula: The relative elevation difference between the upstream and downstream sections of the wedge-shaped dam is measured. The depth of the debris flow upstream of the wedge dam; The depth of the debris flow downstream of the wedge dam is given; P is atmospheric pressure, with a value of 1.013 × 10⁻⁶. 5 Pa; g is the acceleration due to gravity; The unit weight of the debris flow upstream of the wedge dam; The unit weight of the debris flow downstream of the wedge dam; , This is the energy correction factor for debris flow. When using Bernoulli's equation, the default value is usually set to 1. This refers to the slope of the water tank. Additionally:

[0098]

[0099]

[0100] Therefore, we can conclude that:

[0101]

[0102]

[0103]

[0104] In the above formula, ζ is the energy loss coefficient; η is the velocity coefficient; and μ is the flow rate coefficient. The effective coefficient is related to the wedge structure angle; debris flow is considered as large orifice flow, Q represents the flow rate of debris flow through the grid dam, b is the opening width of the grid dam, and hl is the opening height of the grid dam, which has the same value as b; under the action of the near-end velocity v of the debris flow, the pressure at the opening of the grid dam needs to be considered.

[0105] according to Figure 1 We can also conclude that:

[0106]

[0107]

[0108]

[0109]

[0110]

[0111]

[0112] Based on this, the expression for the downstream flow rate of a single-row wedge-beam grid dam is obtained:

[0113]

[0114] In the formula: This indicates the velocity of the debris flow upstream of the wedge dam; The flow rate of debris flow upstream of the wedge dam; The velocity of the debris flow downstream of the wedge dam; denoted as , where b is the flow rate of debris flow downstream of the wedge dam; denoted as , where b is the opening width of the grid dam; denoted as B is the width of the river channel; and denoted as d is the diameter of the grid dam beam. The height of the wedge-shaped structure.

[0115] To ensure the physical validity of the formula and prevent negative head values ​​from violating the law of conservation of energy, the formula can be expressed as follows:

[0116]

[0117] In the formula, and This needs to be determined experimentally. N represents the number of rows of wedge-shaped structures inherent in the wedge-beam grid dam itself. It is related to the wedge structure angle, and the relationship between it and the structure angle is as follows:

[0118] when When approaching 90°, Approaching 1;

[0119] when When approaching 30°, 1 < <2;

[0120] when When approaching 0°, Approaching ∞.

[0121] satisfy: , The angle is for a wedge-shaped structure.

[0122] The expression for the control factors selected in the experiment is as follows:

[0123]

[0124] In the formula, , , , , , Constant coefficients, functional form , , , , Experimental analysis is required. With the variation characteristics of the five variables determined, both types can be obtained through fitting analysis of experimental data, resulting in the final flow reduction coefficient. :

[0125]

[0126] The final model for downstream flow calculation is as follows:

[0127]

[0128] is the flow reduction factor; N is the number of rows of wedges; B is the width of the channel. ,in, Defined to simplify the formula.

[0129] Therefore, in step S40, the flow reduction rate can also be calculated using the following formula:

[0130] ;

[0131] In the formula, For wedge-shaped structure angle, The depth of the debris flow upstream of the wedge dam. The height of the wedge structure, The flow rate of debris flow upstream of the wedge dam. This is the acceleration due to gravity.

[0132] See Figure 2 and Figure 3 The design parameters of the wedge beam grid dam include the angle of the wedge structure 10, the relative opening width, its own height, and the front and rear connecting columns 20 and intercepting columns 30 of the wedge structure 10.

[0133] To maximize the flow-diverting effect of the wedge structure 10, the angle of the wedge structure 10 is generally set to 60°, and the height of the wedge structure can be referenced to the minimum axis dimension min of the largest particle. , , )

[0134] To maximize the interception and regulation capacity of the wedge-shaped beam grid dam, its relative opening width can be set to 1.62. .

[0135] The wedge-shaped structure will produce a certain stress concentration effect. The entire sand-trapping dam can be connected as a whole by the connecting columns 20 between the wedge-shaped structures and the intercepting columns 30 in the rear row, so as to ensure its stability.

[0136] Experiments were conducted on the wedge-shaped beam grid dam designed using the above model, and the theoretical model data in Table 1 and Table 2 were obtained:

[0137] Debris flow solid volume concentration Debris flow size (m³) Channel gradient (°) Opening width (cm) Wedge structure angle (°) Traffic reduction rate experience 0.595 0.05 11 5 60 0.7403 0.717 0.595 0.3 11 6 60 0.576 0.557 0.357 0.1 7 6 60 0.317 0.307 0.595 0.15 7 6 60 0.658 0.651 0.417 0.1 9 6 60 0.413 0.410 0.417 0.3 11 6 60 0.277 0.276

[0138] Table 1

[0139] Debris flow solid volume concentration Debris flow size (m³) Channel gradient (°) Opening width (cm) Wedge structure angle (°) Traffic reduction rate experience 0.417 0.3 11 5 60 0.699 0.660 0.417 0.3 11 4 60 0.997 0.910 0.595 0.15 9 6 60 0.523 0.515 0.595 0.3 11 6 60 0.576 0.537 0.357 0.15 9 4 60 0.712 0.707 0.357 0.3 9 6 60 0.735 0.731

[0140] Table 2

[0141] The data in Tables 1 and 2 show that the calculated values ​​from the model are very close to the experimentally measured values, strongly demonstrating that both the empirical and theoretical models proposed in this embodiment are effective and reliable, and can accurately predict the performance of the wedge-shaped beam grid dam in actual operation. For example, the measured value in the first row of Table 1 is 0.7403, while the empirical model value is 0.717, showing a very small error; the measured value in the last row of Table 2 is 0.735, while the theoretical model value is 0.731, showing an almost perfect match.

[0142] In addition, both the empirical and theoretical models successfully captured the complex patterns under the combined influence of multiple factors, verifying their ability to handle complex real-world situations and simulating the comprehensive impact of multiple parameter changes on the final result in real-world scenarios.

[0143] The experimental data were not only used to fit the model, but also to verify the theoretical analysis presented in the background technology and invention content, namely that the selected control factors were correct and critical.

[0144] In summary, the systematic flume test provides conclusive evidence that the empirical and theoretical models proposed in this embodiment have high accuracy and reliability. The data intuitively demonstrates how the five major control factors (debris flow density, scale, channel slope, relative opening width, and wedge structure angle) jointly affect the flow reduction rate, verifying the model's ability to capture complex physical phenomena.

[0145] In this embodiment, the design of the wedge-shaped beam grid dam has the following advantages:

[0146] 1. Significantly improved model accuracy and reliability:

[0147] Comprehensive consideration: The debris flow scale and the dam reservoir capacity ratio are systematically introduced into the prediction model as key control parameters, which solves the prediction bias problem caused by the neglect of debris flow scale in traditional models.

[0148] Scientific parameters: The angle ratio of the wedge structure was proposed, realizing the quantitative characterization of the unique diversion effect of the wedge beam.

[0149] The complementary dual model provides an empirical model based on fitting a large amount of experimental data and a theoretical model derived from the law of conservation of energy. The two can be mutually verified, ensuring the accuracy and reliability of the calculation results and overcoming the shortcomings of poor universality of traditional single empirical formulas.

[0150] 2. Optimization of structural performance and disaster mitigation efficiency:

[0151] Active energy dissipation and flow reduction: The wedge beam structure changes the trajectory of the debris flow, guiding it to split and collide, converting the linear impact kinetic energy into oblique shear energy and eddy current dissipation, thereby achieving active energy dissipation rather than passive resistance.

[0152] Enhanced regulation capability: This structure effectively weakens the peak flow of debris flows, reducing their impact and destructive force on downstream areas. Its ability to intercept coarse debris and drain fine debris helps maintain long-term regulation capability and prevents rapid siltation and failure.

[0153] Reduce the risk of blockage: By optimizing the opening width and wedge angle, the overflow section area can be controlled, reducing the probability of large particles clogging the entire flow section, thereby maintaining the continuous permeability of the structure.

[0154] 3. Scientific engineering design:

[0155] Provides a clear design process: This invention streamlines and formalizes the design process, guiding engineers to determine key parameters (such as dam height and opening width) step by step, reducing subjectivity and blind spots in the design process.

[0156] Targeted design: The dam structure can be accurately calculated and designed according to the debris flow characteristics (density, size, particle size distribution) and terrain conditions (slope) of a specific gully, so as to achieve customized prevention and control, which changes the previous practice of simply applying existing models.

[0157] 4. Widely applicable and aligned with development philosophy:

[0158] Serving major projects: It can be directly applied to the disaster prevention design of major projects such as railways, highways, and hydropower stations threatened by debris flows, providing a scientific basis.

[0159] Ecological and long-term synergy: The permeable dam body conforms to the ecological prevention and control concept of "blocking coarse sediment and discharging fine sediment", which is conducive to the natural discharge of river sediment and ecological balance. At the same time, its adaptive regulation characteristics give the project a longer service life.

[0160] In summary, this invention, through theoretical innovation, structural optimization, and methodological integration, effectively solves the key bottleneck problem in the design of existing permeable sediment traps, and provides a scientific, accurate, and practical method for calculating and designing peak flow reduction rates for debris flows, which has significant theoretical and engineering application value.

[0161] Example 2:

[0162] This embodiment discloses a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of a method for calculating the debris flow reduction rate of a wedge-beam grid dam.

[0163] The storage medium may be, but is not limited to, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, and other media capable of storing program code.

[0164] When the computer program is executed by the processor, the following steps are performed:

[0165] A. Receive on-site parameters of debris flow disaster prevention and control project input by users through a human-computer interaction interface.

[0166] B. The program automatically calls the built-in algorithm to calculate the solid volume concentration according to the formula in Example 1. .

[0167] C. Based on the parameters input by the user, provide options for the user to choose between using an empirical model or a theoretical model to calculate the traffic reduction rate.

[0168] If the empirical model is selected, the program will call the built-in empirical model calculation module, substitute the determined dimensionless parameters into the empirical model formula, and automatically calculate the peak flow reduction rate under the empirical model. The results are displayed on the results screen.

[0169] If the theoretical model is selected, the program will call the built-in theoretical model calculation module to automatically calculate the peak flow reduction rate under the theoretical model. The results are displayed on the results screen.

[0170] In addition, the program can simultaneously calculate and display the peak flow reduction rate under the empirical model. Peak flow reduction rate under theoretical model This allows users to compare and analyze the data. The program can also compare the calculated flow reduction rate with a preset target reduction rate and adjust the dam height accordingly. or opening width We provide optimization and adjustment suggestions for parameters such as [specific parameters] to assist in completing the final design.

[0171] Example 3:

[0172] This embodiment discloses a debris flow prevention engineering design system, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of calculating the debris flow reduction rate of a wedge-beam grid dam.

[0173] The memory stores computer programs and a database, including historical debris flow case data, a material parameter library, and calculation programs as described in Example 2. A processor is coupled to the memory and configured to execute the computer programs stored in the memory. Input / output interfaces include user input devices (such as a keyboard and mouse) and output devices (such as a monitor and printer).

[0174] When this debris flow prevention engineering design system is running, it executes computer programs through a processor to achieve the following functional modules:

[0175] The parameter input and management module provides a graphical user interface that guides users to input all field parameters and preliminary design parameters from step A of Example 2 step by step and by category. This module can save parameters for different engineering projects as independent project files for easy subsequent retrieval and management.

[0176] The model calculation and analysis module is the core module of the system. It includes a preprocessing unit (automatically completes the calculation of all intermediate parameters), an empirical model calculation unit (with built-in empirical model formulas), a theoretical model calculation unit (with built-in theoretical model formulas), and a comparative analysis unit (compares the results of two models, evaluates their consistency, and provides warnings for abnormal results).

[0177] The results visualization and output module clearly displays the final calculation results, including key intermediate parameters and the final flow reduction rate, on the screen in report format and charts. Users can choose to generate a standard calculation report containing all input and output data and calculation process for use in engineering design documentation.

[0178] The design optimization module integrates optimization algorithms. After the user sets a target traffic reduction rate, this module can adjust the dam height accordingly. or opening width Using variables as variables, iterative calculations are performed within a certain range to quickly find the optimal solution and recommend a set of best dam design parameters that meet the target requirements, thereby achieving a closed loop from "analysis" to "design".

[0179] This embodiment integrates discrete computational methods into an efficient, intuitive, and reliable integrated design platform, significantly reducing the design threshold for engineers and improving the scientific and intelligent level of debris flow prevention engineering design.

[0180] The embodiments described above are merely illustrative of specific implementations of the present invention, and while the descriptions are detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A method for calculating the debris flow reduction rate of a wedge-beam grid dam, characterized in that, Includes the following steps: S10. On-site parameter acquisition: Select a cross-section suitable for dam construction in the debris flow basin, and determine the debris flow unit weight and solid matter concentration through on-site investigation and testing. The mud depth h of the debris flow at the front section of the dam and the average gully slope within the cross-section of the proposed wedge-shaped grid dam. ; S20. Dam body parameter design: Preliminary determination of the dam height H of the wedge-beam grid dam, and calculation of the ratio of debris flow scale to reservoir capacity of the wedge-beam grid dam. Or, preset the design capacity ratio. Then, calculate the dam height H of the wedge-shaped beam grid dam; S30. Determine the opening width, obtain particle size distribution curves at multiple locations within the debris flow basin, and select the overall particle size distribution curve of the basin based on the proportion of large particles within the basin. Then, determine the characteristic particle size d of the debris flow samples from this debris flow basin. 95 Determine the opening width b of the wedge-shaped beam grid dam; S40, Flow reduction rate calculation; The debris flow reduction rate is calculated using the following formula: ； in, The peak traffic reduction rate is based on an empirical model. It is the ratio of the angle α of the wedge-shaped structure of the wedge-shaped beam grid dam to 60°.

2. The method for calculating the debris flow reduction rate of the wedge-beam grid dam according to claim 1, characterized in that, In step S10, the concentration of solid matter... Calculated using the following formula: ； in, The unit weight of the debris flow is kN / m³. The specific weight of water is kN / m³. The bulk density of the solid material carried by the debris flow, in kN / m³.

3. The method for calculating the debris flow reduction rate of the wedge-beam grid dam according to claim 2, characterized in that, In step S20, the reservoir capacity of the wedge-shaped beam grid dam is calculated using the following formula: ； Preliminary determination of the dam height of the wedge-shaped beam grid dam At that time, the ratio of storage capacity to storage capacity Calculated using the following formula: ； in, The average width of the channel for the proposed wedge-shaped beam grid dam cross-section in the debris flow basin. This represents the minimum particle size of the largest boulder within the debris flow basin. This is the scale of a mudslide.

4. The method for calculating the debris flow reduction rate of the wedge-beam grid dam according to claim 2, characterized in that, In step S20, the design capacity ratio is preset. Then, the dam height H of the wedge-shaped beam grid dam is calculated using the following formula: ； in, The average width of the channel for the proposed wedge-shaped beam grid dam cross-section in the debris flow basin. This represents the minimum particle size of the largest boulder within the debris flow basin. This is the scale of a mudslide.

5. The method for calculating the debris flow reduction rate of a wedge-beam grid dam according to claim 2 or 3, characterized in that, The angle ratio of the wedge-shaped beam grid dam structure The value is 1.0, representing the ratio of the total solid matter from debris flows to the reservoir capacity of the wedge-shaped beam grid dam. The value is 3.

0.

6. A non-volatile computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

7. A debris flow prevention engineering design system, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method as described in any one of claims 1 to 5.

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