A method for designing dam body materials in the event of a landslide dam failure.

Abstract

This invention discloses a method for designing materials for landslide dam failure dam bodies, including collecting sand data for gradation of dam body materials; preprocessing the sand data; controlling the moisture content of the sand data to obtain control data; conducting dam body construction simulation tests based on the control data; configuring dam construction materials according to the sediment transport intensity using similar proportions; and outputting the dam body materials. This method not only improves the accuracy of landslide dam failure dam body material design but also has good interpretability and can be directly applied to landslide dam failure dam body material design systems.

Description

Technical Field

[0001] This invention relates to the field of materials design, and more particularly to a method for designing materials for a landslide dam failure dam body. Background Technology

[0002] In the natural environment, the formation and collapse of landslide dams is a complex and unpredictable natural phenomenon, often accompanied by severe natural disasters such as floods and mudslides, posing a serious threat to the lives and property of people downstream. To effectively address this challenge, scientists have been exploring how to simulate, predict, and even control the collapse process of landslide dams through artificial intervention. The design and optimization of dam materials is a crucial element in this process. Traditional dam material design methods often rely on empirical formulas or simple trial and error, lacking systematicity and scientific rigor, and failing to accurately reflect the dynamic changes in dam materials during actual collapse.

[0003] To address this issue, a method for designing dam materials for landslide dam failure based on a combination of refined data analysis and simulation experiments is proposed. This method aims to accurately design dam materials that meet specific failure conditions through scientific data acquisition, preprocessing, analysis, and simulation experiments, thereby improving the ability to predict and control the landslide dam failure process.

[0004] Specifically, the process begins with collecting data on the gradation of sand materials in the dam failure dam body through on-site surveys or laboratory simulations. This data includes, but is not limited to, the physical properties of the sand particles such as particle size distribution, shape, and density. Subsequently, this raw data is preprocessed to remove outliers, fill in missing values, and perform necessary normalization or standardization to ensure the accuracy and comparability of the data. Summary of the Invention

[0005] The purpose of this invention is to provide a method for designing materials for landslide dam failure.

[0006] To achieve the above objectives, the present invention is implemented according to the following technical solution:

[0007] This invention includes the following steps:

[0008] Collect sand data of material graded pairing of the dam body, and preprocess the sand data;

[0009] The moisture content of the sand material is controlled to obtain regulation data, and a dam construction simulation test is conducted based on the regulation data.

[0010] Dam construction materials are configured in a similar proportion according to the sediment transport intensity, and the dam body material is output.

[0011] Furthermore, a method for selecting dam materials based on Shields parameters from the sand data includes:

[0012] The sediment transport intensity is represented by the Shields parameter, and the expression is:

[0013]

[0014] Where the water conservancy radius is R b The bed shear stress is τ b The specific gravity of the sediment is γ. s The specific weight of water is γ, the median particle size of sediment is d, the sediment transport intensity is θ, the hydraulic gradient is J, the flow velocity is u, and the roughness is n.

[0015] Furthermore, a method for controlling the moisture content of the sand material data to obtain control data includes:

[0016] Input the sand data into the moisture content control model to calculate the moisture content of the sand data:

[0017]

[0018] The moisture content of the a-th sand data is f. a The mass of the i-th sand particle size in the a-th sand data is U. a,i The total mass of sand particles in the a-th sand data is U. a The mass of dry sand in the a-th sand data is Q. a,s The water mass in the a-th sand data is Q. a,w The number of sand particles is N i ;

[0019] Sand data with a moisture content between 2% and 10% was used as qualified sand data. The qualified sand data was used to conduct dam construction simulation tests to obtain test data.

[0020] The beneficial ratio of qualified sand was calculated based on the test data:

[0021]

[0022] The weighting coefficients are respectively The volume of the dam material is V, the volume of solid particles in qualified sand is V1, the cross-sectional area of ​​the dam material is S, and the maximum force on the dam material during compressive failure is F. c The maximum force that the dam material experiences during tensile failure is F. t The maximum force that a solid material experiences during shear failure is F. s The head difference is Δd, the saturated permeability of the dam material is β1, the effective saturation of the dam material is Y, the relative permeability of the dam material is β2, and the flow coefficient is... Given that the acceleration due to gravity is g, the beneficial ratio of the a-th qualified sand data is...

[0023] Continuously adjust the moisture content and recalculate the beneficial ratio until the beneficial ratio is greater than 0.432. Output the qualified sand data after the adjustment to meet the conditions as the control data.

[0024] Furthermore, a method for configuring dam construction materials in similar proportions according to the sediment transport intensity includes:

[0025] When sediment transport satisfies Shields similarity, to ensure the similarity of phenomena, the relationship between the converted particle size similarity scale and the geometric scale is obtained, expressed as:

[0026]

[0027] The particle size ratio is k. b The geometric scale is L;

[0028] Based on the relationship between the converted particle size similarity scale and the geometric scale, the geometric scale of the model and the prototype is selected according to the test site and water supply capacity to obtain the similarity criterion, and the dam construction materials are configured according to the similarity criterion.

[0029] Secondly, embodiments of this application also provide an electronic device, including:

[0030] A processor; and a memory arranged to store computer-executable instructions, which, when executed, cause the processor to perform the steps of the method described in the first aspect.

[0031] Thirdly, embodiments of this application also provide a computer-readable storage medium storing one or more programs that, when executed by an electronic device including multiple applications, cause the electronic device to perform the steps of the method described in the first aspect.

[0032] The beneficial effects of this invention are:

[0033] This invention relates to a design method and system for dam body materials in the event of a landslide dam failure. Compared with existing technologies, this invention has the following technical advantages:

[0034] This invention, through pretreatment, material selection, material gradation, moisture content control, simulation experiments, and dam material configuration steps, can improve the accuracy of dam material design for landslide dam failures, thereby enhancing the precision of dam material design. Optimizing dam material design can significantly save resources and improve work efficiency. It enables intelligent design of dam materials for landslide dam failures, allowing for real-time material gradation and moisture content control across multiple dimensions. This is of great significance for dam material design and can adapt to different standards and requirements, demonstrating a degree of universality. Attached Figure Description

[0035] Figure 1 This is a flowchart illustrating the steps of a method for designing materials for a landslide dam in case of failure, as described in this invention.

[0036] Figure 2 This is a schematic diagram of the structure of an electronic device as described in the embodiments of this specification;

[0037] Figure 3 This is a structural diagram of a simulation experimental system in an embodiment of this specification; upstream reservoir 7, test water tank 8, downstream water pool 9, water supply system 10, level water tower 2, expanded water pool 11, dam body 12, water pump 13. Detailed Implementation

[0038] The present invention will be further described below through specific embodiments. The illustrative embodiments and descriptions herein are used to explain the present invention, but are not intended to limit the present invention.

[0039] The present invention discloses a method for designing materials for a landslide dam in case of failure, comprising the following steps:

[0040] like Figure 1 As shown, this embodiment includes the following steps:

[0041] Collect sand data of material graded pairing of the dam body, and preprocess the sand data;

[0042] The moisture content of the sand material is controlled to obtain regulation data, and a dam construction simulation test is conducted based on the regulation data.

[0043] Dam construction materials are configured in a similar proportion according to the sediment transport intensity, and the dam body material is output.

[0044] In the actual evaluation, during the test, the rate of water level decline in the upstream reservoir was automatically controlled by the Ping Shui Tank 5. The upstream reservoir consists of a main reservoir (20m long × 12m wide) and an auxiliary reservoir (10m long × 12m wide), with a height of 1.6m and a maximum capacity of 576m³. The downstream pool is 22m long, 14m wide, and 1.8m deep, with a maximum capacity of 550m³. The test flume is 18m long, 4m wide, and 0.8m high. Water was supplied from the downstream pool using a pump, with a maximum supply flow rate of 0.05m³ / s.

[0045] The dam construction system includes two winch belt conveyors, one 7.5m and the other 6m long, and one mixer, 1.0m long. 3 One 20kg steel pipe was used for compaction. Before each test, all dam-building materials were thoroughly mixed in a mixer, moistened with a misting nozzle, and sampled and weighed to ensure consistent moisture content. Then, a belt conveyor transported the uniformly mixed dam-building materials to the water tank for dam construction according to the designed dam dimensions. For every 20cm layer, the materials were compacted five times using a steel pipe. The trench was excavated using pre-embedded, custom-made acrylic troughs, and after excavation, a level was used for verification and correction.

[0046] According to the material grade of the dam body, purchase sand and carry out preliminary work such as screening, drying, weighing and preparing the materials; mix it evenly in the test site using a mixer, and then transport it to the test water trough dam body location via belt conveyor; fill the dam body using a manual layered filling method, compacting it with a 20kg steel pipe after each 20cm layer is laid, until the dam body filling is completed; after the dam body filling is completed, diversion channel is excavated, and the elevation of the bottom of the channel is checked using a level.

[0047] In this embodiment, the method for selecting dam material based on Shields parameters from the sand data includes:

[0048] The sediment transport intensity is represented by the Shields parameter, and the expression is:

[0049]

[0050] Where the water conservancy radius is R b The bed shear stress is τ b The specific gravity of the sediment is γ. s The specific weight of water is γ, the median particle size of sediment is d, the sediment transport intensity is θ, the hydraulic gradient is J, the flow velocity is u, and the roughness is n.

[0051] In this embodiment, the method for controlling the moisture content of the sand data to obtain control data includes:

[0052] Input the sand data into the moisture content control model to calculate the moisture content of the sand data:

[0053]

[0054] The moisture content of the a-th sand data is f. a The mass of the i-th sand particle size in the a-th sand data is U. a,i The total mass of sand particles in the a-th sand data is U. a The mass of dry sand in the a-th sand data is Q. a,s The water mass in the a-th sand data is Q. a,w The number of sand particles is N i ;

[0055] Sand data with a moisture content between 2% and 10% was used as qualified sand data. The qualified sand data was used to conduct dam construction simulation tests to obtain test data.

[0056] The beneficial ratio of qualified sand was calculated based on the test data:

[0057]

[0058] The weighting coefficients are respectively The volume of the dam material is V, the volume of solid particles in qualified sand is V1, the cross-sectional area of ​​the dam material is S, and the maximum force on the dam material during compressive failure is F. c The maximum force that the dam material experiences during tensile failure is F. t The maximum force that a solid material experiences during shear failure is F. s The head difference is Δd, the saturated permeability of the dam material is β1, the effective saturation of the dam material is Y, the relative permeability of the dam material is β2, and the flow coefficient is... Given that the acceleration due to gravity is g, the beneficial ratio of the a-th qualified sand data is...

[0059] Continuously adjust the moisture content and recalculate the beneficial ratio until the beneficial ratio is greater than 0.432. Output the qualified sand data after the adjustment to meet the conditions as the control data.

[0060] In this embodiment, the method of configuring dam construction materials according to the sediment transport intensity in a similar proportion includes:

[0061] When sediment transport satisfies Shields similarity, to ensure the similarity of phenomena, the relationship between the converted particle size similarity scale and the geometric scale is obtained, expressed as:

[0062]

[0063] The particle size ratio is k. b The geometric scale is L;

[0064] Based on the relationship between the converted particle size similarity scale and the geometric scale, the geometric scale of the model and the prototype is selected according to the test site and water supply capacity to obtain the similarity criterion, and the dam construction materials are configured according to the similarity criterion.

[0065] Figure 2 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Please refer to it. Figure 2 At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and memory. The memory may include main memory, such as high-speed random-access memory (RAM), or non-volatile memory, such as at least one disk drive. Of course, the electronic device may also include other hardware required for other business operations.

[0066] The processor, network interface, and memory can be interconnected via an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 2 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0067] Memory is used to store programs. Specifically, programs may include program code, which includes computer operation instructions. Memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0068] The processor reads the corresponding computer program from non-volatile memory into memory and then runs it, forming a material design device for a landslide dam failure at the logical level. The processor executes the program stored in memory and specifically performs any of the aforementioned landslide dam failure material design methods.

[0069] The above is as stated in this application. Figure 1The method for designing materials for a landslide dam in case of breach, as disclosed in the illustrated embodiment, can be applied to or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0070] The electronic device can also perform Figure 1 A design method for dam body materials in the event of a landslide dam failure was proposed and implemented. Figure 1 The functions of the embodiments shown are not described in detail here.

[0071] This application also proposes a computer-readable storage medium that stores one or more programs, the programs including instructions that, when executed by an electronic device including multiple applications, perform any of the aforementioned methods for designing materials for landslide dam failure.

[0072] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0073] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0074] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0075] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0076] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0077] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0078] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0079] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0080] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for designing materials for a landslide dam in case of failure, characterized in that, Includes the following steps: Collect sand data of material gradation of the dam failure body, and preprocess the sand data; The moisture content of the sand material is controlled to obtain regulation data, and dam construction simulation tests are conducted based on the regulation data; including: Input the sand data into the moisture content control model to calculate the moisture content of the sand data: The moisture content of the a-th sand data is The mass of the i-th sand particle size in the a-th sand data is The total mass of sand particles in the a-th sand data is The dry sand mass in the a-th sand data is The water quality in the a-th sand data is The number of sand particles is ; Sand data with a moisture content between 2% and 10% was used as qualified sand data. The qualified sand data was used to conduct dam construction simulation tests to obtain test data. The beneficial ratio of qualified sand was calculated based on the test data: The weighting coefficients are respectively , , , , The volume of the dam material is V, and the volume of solid particles in the qualified sand material data is... The cross-sectional area of ​​the dam material is S, and the maximum force on the dam material during compressive failure is... The maximum force that the dam material experiences during tensile failure is The maximum force that a bulk material experiences during shear failure is The head difference is The saturated permeability of the dam material is The effective saturation of the dam material is The relative permeability of the dam material is The flow coefficient is The acceleration due to gravity is The beneficial ratio of the a-th qualified sand data is ; Continuously adjust the moisture content and recalculate the beneficial ratio until the beneficial ratio is greater than 0.

432. Output the qualified sand data after the adjustment to meet the conditions as the control data. Dam construction materials are configured in similar proportions according to the sediment transport intensity, and the dam body materials are output.

2. The method for designing materials for a landslide dam in case of failure, as described in claim 1, is characterized in that... A method for selecting dam materials based on Shields parameters from the sand data includes: The sediment transport intensity is represented by the Shields parameter, and the expression is: The water conservancy radius is The bed surface shear stress is The density of the silt is The density of water is The median particle size of the sediment is d, and the sediment transport intensity is... The water conservancy slope is Flow velocity is The roughness is n.

3. The method for designing materials for a landslide dam in case of failure, as described in claim 1, is characterized in that... A method for configuring dam construction materials in similar proportions according to the sediment transport intensity includes: When sediment transport satisfies Shields similarity, to ensure the similarity of phenomena, the relationship between the converted particle size similarity scale and the geometric scale is obtained, expressed as: The particle size ratio is The geometric scale is L; Based on the relationship between the converted particle size similarity scale and the geometric scale, the geometric scale of the model and the prototype is selected according to the test site and water supply capacity to obtain the similarity criterion, and the dam construction materials are configured according to the similarity criterion.

4. An electronic device, comprising: processor; as well as A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the method according to any one of claims 1 to 3.

5. A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of applications, cause the electronic device to perform the method of any one of claims 1 to 3.

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