A method and system for predicting the erosion rate of a debris flow scouring bridge pier

Abstract

The application discloses a kind of methods and systems for predicting the erosion rate of debris flow to scour bridge pier, the method includes: S1, by energy conservation law combining photoelectric effect theory to establish the erosion rate prediction model of debris flow to scour bridge pier;S2, to the test of debris flow to scour bridge pier, measure the erosion rate under different debris flow velocity and debris flow density;S3, according to the erosion rate calibration efficiency factor parameter in the erosion rate prediction model, to improve the erosion rate prediction model;S4, obtain the debris flow dynamics parameter to be predicted and substitute into the improved erosion rate prediction model, obtain the erosion rate of debris flow to scour bridge pier.The application is helpful to optimize bridge pier structure design, improve the impact resistance, reduce the damage of debris flow to bridge;It is helpful to guarantee the safety and durability of bridge in debris flow prone area, maintain regional traffic infrastructure stable operation.

Description

Technical Field

[0001] This invention relates to the field of debris flow geological disaster prevention and control technology, and in particular to a method and system for predicting the abrasion rate of bridge piers eroded by debris flow. Background Technology

[0002] In recent years, with social progress and economic development, the construction of mountain roads and bridges in southwestern my country has accelerated. However, this region is located in a hilly area with a dense river network, abundant rainfall, and complex geological conditions, making it a region prone to debris flows. As an important transportation infrastructure, bridge piers are constantly exposed to the impact of high-frequency debris flows, making erosion and damage particularly prominent.

[0003] Currently, existing methods for predicting the erosion rate of bridge piers eroded by debris flows have some limitations and are difficult to meet the needs of engineering practice. For example, numerical simulation methods, which rely on multiphase coupling technology (such as the SPH-FEM coupling algorithm), can efficiently simulate the movement process, erosion mechanism, and impact effect on structures of debris flows. However, the simulation results have a low degree of integration with actual field erosion data, and there is a lack of effective experimental data to calibrate the simulation parameters, resulting in prediction accuracy that is difficult to meet the requirements of engineering design. Furthermore, existing prediction techniques mostly rely on empirical formulas for predicting the abrasion rate of debris flows, depending on a single parameter (such as flow velocity or sediment content). They lack quantitative models based on the coupling of multiple parameters, including debris flow density and velocity, and cannot comprehensively reflect the erosion patterns under complex working conditions. This makes them difficult to directly apply to the erosion-resistant optimization design of bridge pier structures. Therefore, it is necessary to conduct experimental research on debris flow abrasion of bridge piers, and to establish a method for calculating the abrasion rate of bridge piers eroded by debris flows through theoretical derivation and experimental data analysis. This aims to further promote the study of the mechanism of abrasion damage to bridge piers caused by debris flow abrasion and the invention of anti-erosion structures. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for predicting the abrasion rate of bridge piers eroded by debris flows, which helps to optimize the structural design of bridge piers, improve their resistance to erosion, and reduce the damage of debris flows to bridges.

[0005] To achieve the above objectives, the present invention provides the following solution: A method for predicting the abrasion rate of bridge piers eroded by debris flows includes the following steps: S1. A model for predicting the abrasion rate of bridge piers eroded by debris flow was established by combining the law of conservation of energy with the photoelectric effect theory. S2. Conduct tests on the erosion rate of bridge piers by debris flow and measure the erosion rate under different debris flow velocities and densities. S3. Based on the measured wear rate, calibrate the efficiency factor parameters in the wear rate prediction model to improve the wear rate prediction model. S4. Substitute the dynamic parameters of the debris flow to be predicted into the improved abrasion rate prediction model to obtain the abrasion rate of the bridge pier eroded by the debris flow.

[0006] Preferably, in S1, an abrasion rate prediction model for bridge piers eroded by debris flow is established by combining the law of conservation of energy with the photoelectric effect theory, specifically including: The work done by debris flow erosion of bridge piers is defined as the work required to cause bridge pier particles to detach from the bridge pier surface due to debris flow erosion, which is used to characterize the bridge pier's resistance to erosion. An energy model for debris flow erosion of bridge piers is established based on the law of conservation of energy and the photoelectric effect theory. By mathematical simplification and neglecting higher-order small quantities, the erosion rate prediction model is finally obtained.

[0007] Preferably, the mudslide erosion of bridge piers has an escape function. The function expression is: ; in, The compressive strength of the bridge pier. For the abrasion volume, The work function coefficient is one. The work function coefficient is two.

[0008] The preferred energy model for debris flow impacting bridge piers is as follows: -

[0009] in, This represents the total abrasive mass of the bridge pier after being eroded by the debris flow. The detachment velocity of particles from the bridge pier surface. The energy conversion rate of the bridge piers being eroded by debris flows. Debris flow density, d The velocity of the debris flow. Let t be the surface area of ​​the bridge pier facing the flow, and t be the time of impact by the debris flow. The compressive strength of the bridge pier. This represents the total abrasion volume of the bridge pier after being eroded by the debris flow. This refers to the density of concrete.

[0010] Preferably, in S1, the established abrasion rate prediction model is as follows: ; in, For wear rate, The efficiency factor to be calibrated. The density of the bridge pier concrete. Debris flow density, dThe erosion velocity of the debris flow. This refers to the compressive strength of the bridge pier.

[0011] Preferably, in S3, the efficiency factor parameter η in the wear rate prediction model is calibrated based on the measured wear rate. The efficiency factor parameter η is defined as follows: For circular bridge piers: η = 3.1 × 10 -9

[0012] For rectangular bridge piers: η = 2.1 × 10 -8

[0013] This invention also provides a system for predicting the abrasion rate of bridge piers eroded by debris flows, and a method for predicting the abrasion rate of bridge piers eroded by debris flows according to any of the above claims, comprising: The prediction model building module is used to establish a prediction model for the abrasion rate of bridge piers eroded by debris flow by combining the law of conservation of energy with the photoelectric effect theory. The abrasion rate measurement module is used to test the abrasion rate of bridge piers by debris flow and measure the abrasion rate under different debris flow velocities and densities. The prediction model calibration module is used to calibrate the efficiency factor parameters in the erosion rate prediction model based on the measured erosion rate, so as to improve the erosion rate prediction model. The abrasion rate prediction module is used to obtain the dynamic parameters of the debris flow to be predicted and substitute them into the improved abrasion rate prediction model to obtain the abrasion rate of the debris flow impacting the bridge pier.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method for predicting the abrasion rate of a bridge pier eroded by debris flow as described above.

[0015] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects: The method provided by this invention, when applied to bridge design, helps optimize pier structural design, improve erosion resistance, and reduce debris flow damage to bridges. It also helps ensure the safety and durability of bridges in debris flow-prone areas and maintain the stable operation of regional transportation infrastructure. The method provides a scientific basis for debris flow disaster prevention engineering, planning and design of hazardous areas, and emergency response plan development, effectively preventing and mitigating the impact and erosion of bridges by debris flows. Furthermore, the application of this method further promotes research on the mechanism of debris flow-induced erosion damage to bridge piers and the development of erosion-resistant structures. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating a method for predicting the abrasion rate of bridge piers eroded by debris flows, provided by the present invention. Figure 2 This is a schematic diagram of the abrasion rate prediction method for a bridge pier eroded by debris flow, provided by the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0020] like Figure 1 As shown, the present invention provides a method for predicting the abrasion rate of bridge piers eroded by debris flows, comprising the following steps: S1. A model for predicting the abrasion rate of bridge piers eroded by debris flow was established by combining the law of conservation of energy with the photoelectric effect theory. S2. Conduct tests on the erosion rate of bridge piers by debris flow and measure the erosion rate under different debris flow velocities and densities. S3. Based on the measured wear rate, calibrate the efficiency factor parameters in the wear rate prediction model to improve the wear rate prediction model. S4. Substitute the dynamic parameters of the debris flow to be predicted into the improved abrasion rate prediction model to obtain the abrasion rate of the bridge pier eroded by the debris flow, and verify the feasibility and progressiveness of the invention.

[0021] Specifically, the method of the present invention includes: The derivation process of the abrasion rate prediction model is as follows: Define the work done by debris flow erosion of bridge piers The work required for debris flow to erode bridge pier particles from the pier surface is used to characterize the pier's resistance to abrasion. Through dimensional analysis, the work function is established according to the following formula (1). Dimensional expression: (1) in: The compressive strength of the bridge piers ; : Abrasion volume, ; Work function coefficient, dimensionless; Work function coefficient, dimensionless; Based on the above formula (1), according to the law of conservation of energy and the photoelectric effect theory, the energy model of debris flow erosion of bridge piers is established by the following formula (2): - (2) In the formula: The total abrasive mass of the bridge pier after being eroded by the debris flow, in units of... ; The detachment velocity of particles from the bridge pier surface, expressed in units of... ; The energy conversion rate of the debris flow impacting the bridge pier is dimensionless. Debris flow density, ; d The velocity of the debris flow. ; The area facing the flow of the bridge pier. ; The time it takes for the mudslide to erode the soil. ; The compressive strength of the bridge pier. ; This represents the total abrasion volume of the bridge pier after being eroded by the debris flow. ; For concrete density, .

[0022] The theoretical derivation and mathematical simplification based on formula (2) are as follows: - (3) Order - - Eliminate the work function coefficient K. We can obtain: = - (4) The energy on the left side of the equation differs from that on the right side by more than two orders of magnitude, therefore it can be ignored. (5) Simplifying the above formula, we can obtain the abrasion rate of the bridge pier due to debris flow: (6) In the formula: For wear rate, ; The efficiency factor to be calibrated is dimensionless; The density of the bridge pier concrete. Debris flow density, ; d The erosion velocity of the debris flow. ; The compressive strength of the bridge pier. ; The values ​​of the efficiency factor η for circular and rectangular bridge piers: =3.1×10 -9 (7) =2.1×10 -8 (8) The following embodiments of the present invention will be used to fully illustrate the feasibility and progressiveness of the present invention in conjunction with specific implementation examples.

[0023] like Figure 2 As shown, based on the survey data, the volume density of a certain debris flow... 1670 Flow rate It is 4.15 Bridge piers Concrete pouring, circular piers, density 2400 .

[0024] First, a model for predicting the abrasion rate of bridge piers eroded by debris flow is established by combining the law of conservation of energy with the photoelectric effect theory.

[0025] (6) Next, the efficiency factor is calculated according to formula (6). for .

[0026] Finally, the volume density of the debris flow was calculated. Flow rate The compressive strength of bridge piers and the density of bridge pier concrete Substituting into the formula for predicting the erosion rate of bridge piers eroded by debris flows, we obtain the erosion rate of bridge piers eroded by debris flows. That is 79.05 .

[0027] This invention also provides a system for predicting the abrasion rate of bridge piers eroded by debris flows, and a method for predicting the abrasion rate of bridge piers eroded by debris flows according to any of the above claims, comprising: The prediction model building module is used to establish a prediction model for the abrasion rate of bridge piers eroded by debris flow by combining the law of conservation of energy with the photoelectric effect theory. The abrasion rate measurement module is used to test the abrasion rate of bridge piers by debris flow and measure the abrasion rate under different debris flow velocities and densities. The prediction model calibration module is used to calibrate the efficiency factor parameters in the erosion rate prediction model based on the measured erosion rate, so as to improve the erosion rate prediction model. The abrasion rate prediction module is used to obtain the dynamic parameters of the debris flow to be predicted and substitute them into the improved abrasion rate prediction model to obtain the abrasion rate of the debris flow impacting the bridge pier.

[0028] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method for predicting the abrasion rate of a bridge pier eroded by debris flow as described above.

[0029] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0030] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for predicting the abrasion rate of bridge piers eroded by debris flows, characterized in that, Includes the following steps: S1. A model for predicting the abrasion rate of bridge piers eroded by debris flow was established by combining the law of conservation of energy with the photoelectric effect theory. S2. Conduct tests on the erosion rate of bridge piers by debris flow and measure the erosion rate under different debris flow velocities and densities. S3. Based on the measured wear rate, calibrate the efficiency factor parameters in the wear rate prediction model to improve the wear rate prediction model. S4. Substitute the dynamic parameters of the debris flow to be predicted into the improved abrasion rate prediction model to obtain the abrasion rate of the bridge pier eroded by the debris flow.

2. The method for predicting the abrasion rate of bridge piers eroded by debris flows according to claim 1, characterized in that, In S1, an abrasion rate prediction model for bridge piers eroded by debris flow is established by combining the law of conservation of energy with the photoelectric effect theory, specifically including: The work done by debris flow erosion of bridge piers is defined as the work required to cause bridge pier particles to detach from the bridge pier surface due to debris flow erosion, which is used to characterize the bridge pier's resistance to erosion. An energy model for debris flow erosion of bridge piers is established based on the law of conservation of energy and the photoelectric effect theory. By mathematical simplification and neglecting higher-order small quantities, the erosion rate prediction model is finally obtained.

3. The method for predicting the abrasion rate of bridge piers eroded by debris flows according to claim 2, characterized in that, The debris flow eroded the bridge pier and caused the power to escape. The function expression is: ； in, The compressive strength of the bridge pier. For the abrasion volume, The work function coefficient is one. The work function coefficient is two.

4. The method for predicting the abrasion rate of bridge piers eroded by debris flow according to claim 3, characterized in that, The energy model for the debris flow impacting the bridge pier is as follows: - in, This represents the total abrasive mass of the bridge pier after being eroded by the debris flow. The detachment velocity of particles from the bridge pier surface. The energy conversion rate of the bridge piers being eroded by debris flows. Debris flow density, d The velocity of the debris flow. Let t be the surface area of ​​the bridge pier facing the flow, and t be the time of impact by the debris flow. The compressive strength of the bridge pier. This represents the total abrasion volume of the bridge pier after being eroded by the debris flow. This refers to the density of concrete.

5. The method for predicting the abrasion rate of bridge piers eroded by debris flows according to claim 2, characterized in that, In S1, the established erosion rate prediction model is as follows: ； in, For wear rate, The efficiency factor to be calibrated. The density of the bridge pier concrete. Debris flow density, d The erosion velocity of the debris flow. This refers to the compressive strength of the bridge pier.

6. The method for predicting the abrasion rate of bridge piers eroded by debris flow according to claim 1, characterized in that, In step S3, the efficiency factor parameter η in the wear rate prediction model is calibrated based on the measured wear rate. The efficiency factor parameter η is defined as follows: For circular bridge piers: η = 3.1 × 10 -9 For rectangular bridge piers: n=2.1×10 -8 7. A system for predicting the abrasion rate of bridge piers eroded by debris flows, using the method for predicting the abrasion rate of bridge piers eroded by debris flows as described in any one of claims 1-6, characterized in that, include: The prediction model building module is used to establish a prediction model for the abrasion rate of bridge piers eroded by debris flow by combining the law of conservation of energy with the photoelectric effect theory. The abrasion rate measurement module is used to test the abrasion rate of bridge piers by debris flow and measure the abrasion rate under different debris flow velocities and densities. The prediction model calibration module is used to calibrate the efficiency factor parameters in the erosion rate prediction model based on the measured erosion rate, so as to improve the erosion rate prediction model. The abrasion rate prediction module is used to obtain the dynamic parameters of the debris flow to be predicted and substitute them into the improved abrasion rate prediction model to obtain the abrasion rate of the debris flow impacting the bridge pier.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for predicting the abrasion rate of a bridge pier eroded by debris flow as described in claims 1-6.

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