A method and device for determining the safety factor of the remaining strength of a dam bag

Abstract

The present application discloses a method and device for determining the safety factor of the remaining strength of a dam bag, which relates to the field of dam safety evaluation. The method includes establishing a simulation model of a target dam bag according to the geometric parameters of the target dam bag and the preset mechanical property parameters of the target dam bag, and calculating the first dam bag data based on this model; wherein, the target dam bag is the dam bag of a rubber dam in operation; obtaining the second dam bag data, and calculating the relative error between the first dam bag data and the second dam bag data; when the relative error is not within the preset range, optimizing the preset mechanical property parameters of the target dam bag in the simulation model of the target dam bag, and recalculating the relative error. When the relative error is within the preset range, determining the preset mechanical property parameters of the target dam bag as the true mechanical property parameters of the target dam bag; combining the true mechanical property parameters of the target dam bag and the maximum dam height condition of the simulation model of the target dam bag, and calculating the safety factor of the remaining strength of the target dam bag. The present application can accurately determine the safety factor of the remaining strength of the target dam bag.

Description

Technical Field

[0001] The present application relates to the field of dam safety evaluation, and particularly to a method and device for determining the safety factor of the remaining strength of a dam bag. Background Art

[0002] A rubber dam is a hydraulic structure built with polymer synthetic materials. Compared with traditional dams, rubber dams have the advantages of simple structure, low cost, short construction period, and convenient management. However, as the main structure of the rubber dam, the dam bag has disadvantages such as poor firmness and easy aging, and it is difficult to accurately estimate the specific service life. According to the summary of the use experience of most rubber dam projects, the service life of the dam bag is 13 - 25 years. As the service life increases, the safety and reliability of the dam bag will gradually decrease, which may cause the blasting of the dam bag and lead to river flooding. Therefore, how to evaluate the safety of the dam bag is the key to ensuring the safe operation of the rubber dam. The existing strength safety evaluation of the dam bag mainly judges the safety of the dam bag based on on-site inspection, service life, and the radial calculation strength formula of the dam bag.

[0003] Currently, the main factor affecting the strength safety evaluation of the dam bag is the safety factor of the remaining strength of the dam bag. The review of the safety factor of the remaining strength of the dam bag adopts the "Technical Specification for Rubber Dam Engineering" (GB / T 50979), without considering the current operating state of the dam bag, resulting in inaccurate safety factors of the remaining strength of the dam bag. Summary of the Invention

[0004] The purpose of the present application is to provide a method and device for determining the safety factor of the remaining strength of a dam bag, which can accurately calculate the safety factor of the remaining strength of the target dam bag.

[0005] To achieve the above object, the present application provides the following solutions:

[0006] In the first aspect, the present application provides a method for determining the safety factor of the remaining strength of a dam bag, including the following steps:

[0007] Step 1: Obtain the geometric parameters of the target dam bag and the preset mechanical property parameters of the target dam bag, and establish a simulation model of the target dam bag based on the geometric parameters of the target dam bag and the preset mechanical property parameters of the target dam bag; the target dam bag is the dam bag of an operating rubber dam.

[0008] Step 2: Calculate the first dam bag data based on the simulation model of the target dam bag.

[0009] Step 3: Compare the first dam bag data with the second dam bag data, and calculate the relative error; wherein, the second dam bag data is the measured data obtained by a measuring device arranged on the target dam bag.

[0010] Step 4: Determine whether the relative error is within a preset range. When the relative error is not within the preset range, optimize the preset target dam bag mechanical property parameters required for constructing the target dam bag simulation model, and then establish a dam bag simulation model based on the target dam bag geometric parameters and the optimized preset target dam bag mechanical property parameters, and return to Step 2. When the relative error is within the preset range, determine the preset target dam bag mechanical property parameters as the true target dam bag mechanical property parameters.

[0011] Step 5: Calculate the maximum radial strength of the target dam bag based on the true target dam bag mechanical property parameters and the maximum dam height condition of the target dam bag simulation model, and calculate the remaining strength safety factor of the target dam bag based on the maximum radial strength of the target dam bag.

[0012] Optionally, the target dam bag simulation model is a three-dimensional finite element model; the first dam bag data includes finite element simulated displacement and finite element simulated strain; the second dam bag data includes measured displacement and measured strain.

[0013] Optionally, the measuring devices arranged on the target dam bag include fiber Bragg grating sensors and total stations; the fiber Bragg grating sensors and the reflectors of the total stations are arranged on both sides of the axial center line of the target dam bag, 1 m apart along the axis; the arrangement positions of the fiber Bragg grating sensors and the reflectors of the total stations at least include: the middle of the target dam bag in the axial direction, the dam top of the cross section, and the position of the target dam bag downstream.

[0014] Optionally, the determination process of the measured displacement is as follows:

[0015] When the target dam bag is at the first height, use the total station to obtain the first position information of the target dam bag.

[0016] When the target dam bag is at the second height, use the total station to obtain the second position information of the target dam bag.

[0017] Determine the measured displacement according to the obtained first position information and second position information.

[0018] Optionally, the determination process of the measured strain is as follows:

[0019] When the target dam bag is at the first height, use the fiber Bragg grating sensor to obtain the first deformation information of the target dam bag.

[0020] When the target dam bag is at the second height, use the fiber Bragg grating sensor to obtain the second deformation information of the target dam bag.

[0021] Determine the measured strain according to the obtained first deformation information and second deformation information.

[0022] Optionally, preset target dam bag mechanical property parameters in the optimized target dam bag simulation model, specifically including:

[0023] Adopt the least squares method to optimize the preset target dam bag mechanical property parameters in the target dam bag simulation model.

[0024] Optionally, the target dam bag mechanical property parameters include elastic modulus and Poisson's ratio.

[0025] Optionally, based on the true target dam bag mechanical property parameters and the maximum dam height condition of the target dam bag simulation model, calculating the maximum radial strength of the target dam bag includes:

[0026] According to the elastic modulus and Poisson's ratio in the true target dam bag mechanical property parameters, combined with the finite element simulation of the maximum dam height condition, calculate the maximum radial strength of the target dam bag.

[0027] Optionally, the calculation formula for the safety factor of the remaining strength of the target dam bag is:

[0028] Safety factor of the remaining strength of the target dam bag = Strength of the target dam bag fabric / Maximum radial strength of the target dam bag.

[0029] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the method for determining the safety factor of the remaining strength of the dam bag described in any one of the above.

[0030] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the method for determining the safety factor of the remaining strength of the dam bag described in any one of the above.

[0031] In a fourth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the method for determining the safety factor of the remaining strength of the dam bag described in any one of the above.

[0032] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application:

[0033] The present application provides a method and device for determining the safety factor of the remaining strength of a dam bag. The method includes: First, obtain the geometric parameters of the target dam bag and the preset mechanical property parameters of the target dam bag, and establish a simulation model of the target dam bag, where the target dam bag is the dam bag of a rubber dam in operation; Second, calculate the first dam bag data based on the simulation model of the target dam bag; Third, compare the first dam bag data with the second dam bag data and calculate the relative error; Then, determine whether the relative error is within the preset range, and when the relative error is not within the preset range, optimize the preset mechanical property parameters of the target dam bag required for constructing the simulation model of the target dam bag, and then establish a simulation model of the dam bag based on the geometric parameters of the target dam bag and the optimized preset mechanical property parameters of the target dam bag, recalculate the first dam bag data, and calculate the relative error between the first dam bag data and the second dam bag data. When the relative error is within the preset range, determine the preset mechanical property parameters of the target dam bag as the true mechanical property parameters of the target dam bag; Finally, combine the true mechanical property parameters of the target dam bag and the maximum dam height condition of the simulation model of the target dam bag, calculate the maximum radial strength of the target dam bag, and calculate the safety factor of the remaining strength of the target dam bag based on the maximum radial strength of the target dam bag. The present application calculates the first dam bag data through the simulation model of the target dam bag, obtains the measured second dam bag data through the measuring device arranged on the target dam bag, and calculates the relative error between the first dam bag data and the second dam bag data, and continuously corrects the mechanical property parameters of the simulation model of the target dam bag. Since the mechanical property parameters of the simulation model of the target dam bag after correction can more accurately reflect the true mechanical properties of the dam bag of the rubber dam in operation, the maximum radial strength of the target dam bag can be accurately calculated, thereby improving the accuracy of the finally determined safety factor of the remaining strength of the dam bag of the rubber dam in operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0035] Figure 1 It is an application environment diagram of a method for determining the safety factor of the remaining strength of a dam bag provided in Embodiment 1 of the present application;

[0036] Figure 2 It is a flowchart of a method for determining the safety factor of the remaining strength of a dam bag provided in Embodiment 1 of the present application;

[0037] Figure 3 It is a position diagram of fiber Bragg grating sensors in Embodiment 1 of the present application;

[0038] Figure 4 This is the position diagram of the total station reflector sheet for Embodiment 1 of the present application;

[0039] Figure 5 This is the pasting position diagram of the fiber Bragg grating sensor and the total station reflector sheet for Embodiment 1 of the present application;

[0040] Figure 6 This is the flow schematic diagram of a method for determining the safety factor of the remaining strength of a dam bag provided in Embodiment 2 of the present application;

[0041] Figure 7 This is the structural schematic diagram of a computer device provided in Embodiment 3 of the present application. Detailed implementation manners

[0042] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0043] In the related art, for the safety evaluation of the dam bag strength, the safety of the dam bag is mainly judged according to on-site inspection, service life, and the dam bag radial calculation strength formula.

[0044] On-site inspection mainly includes whether there are wrinkles, powdering, cracks, blisters, damage, aging, wear, repair conditions, and the sealing performance of the dam bag in terms of appearance quality. However, it is difficult to carry out on-site sampling work at the main stress parts of the rubber dam bag during operation, and the physical and mechanical properties of the dam bag, such as tensile strength and elongation rate, cannot be detected, making it difficult to quantitatively judge the remaining service strength of the dam bag.

[0045] In terms of service life, although the service life of the dam bag is specified when it leaves the factory, the operating environment of the dam bag is complex and changeable. Some dam bags age quickly and their strength decays severely, and there may be a risk of explosion after only a few years of operation, showing a large deviation from the specified service life of the dam bag when it leaves the factory. Therefore, it is also inaccurate to evaluate the safety of the dam bag based on the already-operated years and the factory-specified service life of the dam bag.

[0046] Currently, the main factor affecting the safety evaluation of the dam bag strength is the safety factor of the remaining strength of the dam bag. The review of the safety factor of the remaining strength of the dam bag adopts the "Technical Code for Rubber Dam Projects" (GB / T50979), which stipulates that the dam bag radial design calculation strength can be calculated according to the following formula: Among them, T is the dam bag radial calculation strength (kN / m); γ is the specific weight of water (10kN / m 3 ); α is the internal and external pressure ratio of the dam bag; H 1The designed dam height is (m). However, this formula is mainly applied to the radial design calculation of the strength of newly built dam bags. For the actually operating dam bags, with the passage of time, aging and performance deterioration occur. The geometric parameters and mechanical property parameters of the dam bags after water filling will change greatly. This formula does not consider the current operating state of the dam bags, resulting in inaccurate safety factors of the remaining strength of the dam bags and making it difficult to accurately evaluate the safety of the operating rubber dam bags.

[0047] Based on the applicant's research on the above related technologies, a method and device for determining the safety factor of the remaining strength of a dam bag are provided, aiming to accurately determine the safety factor of the remaining strength of the dam bag, thereby improving the accuracy of the safety evaluation of the operating rubber dam bags.

[0048] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0049] The method for determining the safety factor of the remaining strength of the dam bag provided by the embodiments of the present application can be applied to, for example Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set separately, integrated on the server 104, placed on the cloud or other servers. The terminal 102 can send the target dam bag geometric parameters and the preset target dam bag mechanical property parameters to the server 104. After receiving the target dam bag geometric parameters and the preset target dam bag mechanical property parameters, the server 104 establishes a dam bag simulation model based on the target dam bag geometric parameters and the preset target dam bag mechanical property parameters; the target dam bag is the rubber dam bag in operation. Then, the server 104 calculates the first dam bag data based on the target dam bag simulation model. Then, the server 104 compares the first dam bag data with the second dam bag data and calculates the relative error; wherein, the second dam bag data is the measured data obtained by the measuring device arranged on the target dam bag. Then, the server 104 determines whether the relative error is within the preset range, and when the relative error is not within the preset range, optimizes the preset target dam bag mechanical property parameters in the target dam bag simulation model, then re - establishes the target dam bag simulation model, recalculates the first dam bag data, and recalculates the relative error. When the relative error is within the preset range, the preset target dam bag mechanical property parameters are determined as the real target dam bag mechanical property parameters. Finally, the server 104 calculates the maximum radial strength of the target dam bag based on the real target dam bag mechanical property parameters and the maximum dam height condition of the target dam bag simulation model, and calculates the remaining strength safety factor of the target dam bag based on the maximum radial strength of the target dam bag. The server 104 can feedback the remaining strength safety factor of the target dam bag to the terminal 102. In addition, in some embodiments, the method for determining the remaining strength safety factor of the dam bag can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly process the target dam bag geometric parameters and the preset target dam bag mechanical property parameters to obtain the remaining strength safety factor of the target dam bag, or the server 104 can obtain the target dam bag geometric parameters and the preset target dam bag mechanical property parameters from the data storage system and process the target dam bag geometric parameters and the preset target dam bag mechanical property parameters to obtain the remaining strength safety factor of the target dam bag.

[0050] Among them, the terminal 102 can be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart in - vehicle devices, etc. The portable wearable devices can be smart watches, smart bracelets, head - mounted devices, etc. The server 104 can be implemented by an independent server or a server cluster composed of multiple servers, and can also be a cloud server.

[0051] In an exemplary embodiment, such asFigure 2 As shown in the figure, a method for determining the safety factor of the remaining strength of a dam bag is provided, and the method includes the following steps:

[0052] Step 201: Obtain the geometric parameters of the target dam bag and the preset mechanical property parameters of the target dam bag, and establish a simulation model of the target dam bag based on the geometric parameters of the target dam bag and the preset mechanical property parameters of the target dam bag.

[0053] Among them, the target dam bag is the dam bag of a rubber dam in operation, the simulation model of the target dam bag is a three-dimensional finite element model, and the preset mechanical property parameters include elastic modulus and Poisson's ratio.

[0054] Step 202: Calculate the first dam bag data based on the simulation model of the target dam bag.

[0055] Step 203: Compare the first dam bag data with the second dam bag data and calculate the relative error; among them, the second dam bag data is the measured data obtained by the measuring device arranged on the target dam bag.

[0056] Furthermore, in step 203, the measuring device arranged on the target dam bag includes a fiber Bragg grating sensor and a total station; the fiber Bragg grating sensor and the reflector of the total station are arranged on both sides of the axial center line of the target dam bag, and are 1 m apart along the axis; the arrangement positions of the fiber Bragg grating sensor and the reflector of the total station at least include: the middle of the axial direction of the target dam bag, the top of the cross section of the dam, and the position downstream of the target dam bag.

[0057] In step 203, the first dam bag data includes finite element simulation displacement and finite element simulation strain; the second dam bag data includes measured displacement and measured strain.

[0058] Among them, the determination process of the measured displacement is as follows:

[0059] Step A: When the target dam bag is at the first height, use the total station to obtain the first position information of the target dam bag.

[0060] Step B: When the target dam bag is at the second height, use the total station to obtain the second position information of the target dam bag.

[0061] Step C: Determine the measured displacement according to the obtained first position information and second position information.

[0062] In the determination process of the measured displacement, the target dam bag can be raised or lowered to make the target dam bag reach the second height from the first height.

[0063] The determination process of the measured strain is as follows:

[0064] Step a: When the target dam bag is at the first height, use the fiber Bragg grating sensor to obtain the first deformation information of the target dam bag.

[0065] Step b: When the target dam bag is at the second height, use the fiber Bragg grating sensor to obtain the second deformation information of the target dam bag.

[0066] Step c: Determine the measured strain based on the obtained first deformation information and second deformation information.

[0067] During the determination of the measured strain, the target dam bag can be raised or lowered to make the target dam bag reach the second height from the first height.

[0068] The calculation formula for the relative error in Step 203 is:

[0069]

[0070] where δ is the relative error, ε s is the finite element simulation strain, ε m is the measured strain, δ s is the finite element simulation displacement, δ m is the measured displacement, and n is the number of tests.

[0071] Step 204: Determine whether the relative error is within a preset range. If so, execute Step 205; if not, execute Step 206.

[0072] Step 205: Determine the preset target dam bag mechanical property parameters as the true target dam bag mechanical property parameters, and execute Step 207.

[0073] Step 206: Optimize the preset target dam bag mechanical property parameters required for constructing the target dam bag simulation model, then establish a dam bag simulation model based on the target dam bag geometric parameters and the optimized preset target dam bag mechanical property parameters, and return to Step 202.

[0074] Among them, the preset range of the relative error is 1% - 5%.

[0075] In Step 206, the optimization of the preset target dam bag mechanical property parameters required for constructing the target dam bag simulation model specifically includes: using the least squares method to optimize the preset target dam bag mechanical property parameters in the target dam bag simulation model:

[0076] When the finite element simulation strain (or displacement) is greater than the measured strain (or displacement), appropriately increase the preset elastic modulus and Poisson's ratio.

[0077] When the finite element simulation strain (or displacement) is less than the measured strain (or displacement), appropriately decrease the preset elastic modulus and Poisson's ratio.

[0078] Step 207: Based on the mechanical property parameters of the actual target dam bag and the maximum dam height condition of the target dam bag simulation model, calculate the maximum radial strength of the target dam bag, and calculate the safety factor of the remaining strength of the target dam bag based on the maximum radial strength of the target dam bag.

[0079] Further, in Step 207, calculating the maximum radial strength of the target dam bag based on the mechanical property parameters of the actual target dam bag and the maximum dam height condition of the target dam bag simulation model includes:

[0080] According to the elastic modulus and Poisson's ratio in the mechanical property parameters of the actual target dam bag, combined with the finite element simulation of the maximum dam height condition, calculate the maximum radial strength of the target dam bag.

[0081] Further, specifically calculating the maximum radial strength of the target dam bag according to the elastic modulus and Poisson's ratio in the mechanical property parameters of the actual target dam bag, combined with the finite element simulation of the maximum dam height condition includes:

[0082] Input the elastic modulus and Poisson's ratio in the mechanical property parameters of the actual target dam bag, and the height H of the rubber dam 1 into the three-dimensional finite element model, set the load and boundary conditions, and perform finite element solution to obtain the maximum radial strength of the target dam bag.

[0083] Among them, the height H of the rubber dam 1 is the maximum dam height, and the internal water pressure head is taken as H O = 1.3H 1 , the axial length of the dam body is taken as 10 m; the bottom constraint of the dam body adopts a fixed constraint, and the two end cross-sections in the axial direction of the dam body adopt symmetric displacement constraints.

[0084] Further, in Step 207, calculate the safety factor of the remaining strength of the target dam bag according to the following formula:

[0085] Safety factor of the remaining strength of the target dam bag = Strength of the target dam bag fabric / Maximum radial strength of the target dam bag.

[0086] Among them, the strength of the target dam bag fabric adopts a discounted value of the factory strength of the target dam bag fabric, and the discount formula adopts an exponential decay model:

[0087] σ(t) = σ 0 ·e -λt

[0088] Among them, σ(t) is the strength of the target dam bag fabric; σ 0 is the strength of the dam bag at the factory, and λ is the discount constant.

[0089] Take samples from the abandoned dam bags of the same type and conduct strength tests at different time points, record the strength values σ(t) at each time point and the corresponding service time, so as to determine the discount constant λ.

[0090] Further, as Figures 3 to 5 shown, fiber Bragg grating sensors and total station reflectors are arranged on the target dam bag. In Figures 3 to 4 , ① represents the middle part of the dam bag in the axial direction, ② represents the top of the dam in the cross-section, and ③ - ⑤ are at the downstream side.

[0091] The fiber Bragg grating sensors and total station reflectors are used to monitor the strain and displacement of the target dam bag in real time. The arrangement method and detection process specifically include:

[0092] Raise the target dam bag quickly to ensure that the target dam bag does not flow through in a short time. Then, paste fiber Bragg grating sensors and total station reflectors at the middle part of the target dam bag in the axial direction, the top of the dam in the cross-section, and the downstream side. The fiber Bragg grating sensors and total station reflectors are about 1 m along the dam axis. 5 fiber Bragg grating sensors are pasted and 3 reflectors are arranged.

[0093] Among them, the range of the fiber Bragg grating sensor is ±1000 με, and the fiber Bragg grating sensor is externally connected to a monitoring system. The fiber Bragg grating sensor needs to be sealed to prevent moisture during the lifting and lowering process of the target dam bag. After the installation of the fiber Bragg grating sensor is completed, system debugging is required to ensure that it can work continuously for a long time.

[0094] Among them, the total station should be fixed at a position convenient for monitoring to detect the displacement of the reflector. The total station shall not move during the whole process to ensure the accuracy of the data.

[0095] After the fiber Bragg grating sensors and total stations are installed and debugged, change the height of the target dam bag (either raise or lower), and the lifting amplitude is 1.5 - 2 m. During the lifting and lowering process of the target dam bag, the fiber Bragg grating sensors monitor the strain during the lifting and lowering process of the dam bag in real time, and the total station monitors the displacement of at least 3 reflectors in real time.

[0096] Embodiment 2

[0097] Further, Figure 6 This is a schematic flow chart of a method for determining the safety factor of the remaining strength of a dam bag provided in another embodiment of the present application. In this embodiment, the method for determining the safety factor of the remaining strength of a dam bag includes three parts: on-site dam bag deformation observation, indoor finite element simulation, and calculation of the safety factor of the remaining strength of the dam bag.

[0098] (1) On-site dam bag deformation observation.

[0099] The data of on-site dam bag deformation observation are the strain and displacement of the dam bag at the lifting and lowering positions. Combining historical on-site observation data and finite element calculation results, it can be known that the positions with the largest deformation and stress of the rubber dam appear at the downstream side of the dam top. Therefore, it is necessary to focus on monitoring the strain and displacement at this position. The specific steps are as follows:

[0100] Raise the dam bag quickly to ensure that the dam bag does not flow through in a short time. Measure the position of the axial center line of the dam bag on site, and paste fiber Bragg grating sensors and total station reflectors at the middle of the dam bag axially, at the top of the cross-section dam, and at a position slightly downstream. Make the fiber Bragg grating sensors and total station reflectors about 1 m apart axially (paste the fiber Bragg grating sensor 0.5 m to the left of the center line and the total station reflector 0.5 m to the right of the center line). Then, connect the fiber Bragg grating sensors to the test system and fix the total station to complete the debugging of the equipment. Next, raise the dam bag by 1.5 - 2 m, use the fiber Bragg grating sensors to monitor the strain of the dam bag in real time, and use the fixed total station to record the displacements of the corresponding reflectors at 3 dam heights to obtain the measured displacements and measured strains.

[0101] (2) Indoor finite element simulation.

[0102] First, measure the actual geometric dimensions of the dam bag, establish a three-dimensional finite element model according to the actual geometric dimensions of the dam bag, and set the boundary conditions and load values at different dam heights according to the actual working conditions. Then, initially set the elastic modulus and Poisson's ratio of the dam bag material according to the empirical values, and calculate the finite element simulation strains and finite element simulation displacements at different dam heights. Next, compare the finite element simulation strains and measured strains, and the finite element simulation displacements and measured displacements at the same fixed point positions, and calculate the relative errors. Finally, judge whether the relative errors are reasonable. If the relative errors are unreasonable, use the least squares optimization algorithm to adjust the elastic modulus and Poisson's ratio parameters, and repeatedly perform simulations, comparisons, error calculations, and parameter adjustments until the errors are reduced to an acceptable range. When the relative errors between the measured strains, displacements and the finite element calculated values are between 1% and 5%, the elastic modulus and Poisson's ratio are considered to be reasonable, and the elastic modulus and Poisson's ratio parameters at this time are used as the true elastic modulus and Poisson's ratio of the dam bag.

[0103] (3) Calculation of the safety factor of the remaining strength of the dam bag.

[0104] After obtaining the true elastic modulus and Poisson's ratio of the dam bag, simulate the maximum dam height condition by finite element method, calculate the maximum radial strength of the dam bag, and calculate the safety factor of the remaining strength of the dam bag according to the maximum radial strength of the dam bag and the strength of the dam bag fabric.

[0105] The present application also provides an application scenario for evaluating the safety of a rubber dam bag during operation. This application scenario includes a link for determining the safety factor of the remaining strength of the dam bag and a link for evaluating the safety of the rubber dam bag during operation. Specifically: The link for determining the safety factor of the remaining strength of the dam bag adopts the method for determining the safety factor of the remaining strength of the dam bag provided by the present application, including on-site dam bag data observation, indoor finite element review calculation link, and calculation link for the safety factor of the remaining strength of the dam bag. The link for evaluating the safety of the rubber dam bag during operation is a comprehensive evaluation based on the safety factor of the remaining strength of the dam bag and other indicators affecting the safety of the dam bag. The safety evaluation indicators for the dam bag during operation include appearance quality (wrinkles, aging, wear, damage, bubbles, cracks), service life, hardness, air aging resistance, fresh water aging resistance, bag wall strength, safety factor of the remaining strength of the dam bag, etc. However, appearance quality, service life, hardness, etc. can only qualitatively determine the current quality of the dam bag, and it is difficult to obtain air aging resistance, fresh water aging resistance, and bag wall strength without sampling. The safety factor of the remaining strength of the dam bag in the present application is the most important indicator for evaluating the safety of the rubber dam bag during operation. Determining the safety factor of the remaining strength of the dam bag is the key link in the safety evaluation of the rubber dam bag during operation.

[0106] Embodiment 3

[0107] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 7 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store video tag processing data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it realizes the method for determining the safety factor of the remaining strength of the dam bag.

[0108] Those skilled in the art can understand that Figure 7 the structure shown in

[0109] Example 4

[0110] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0111] Example 5

[0112] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0113] Example 6

[0114] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0115] Those of ordinary skill in the art can understand that all or part of the processes in the above method embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium, and when the computer program is executed, it can include the processes of the above method embodiments. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, Resistive Random Access Memory (ReRAM), Magnetoresistive Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene memory, etc. Volatile memory can include Random Access Memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), etc.

[0116] In each of the embodiments provided in this application, the database involved may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on a blockchain, etc., without limitation. In each of the embodiments provided in this application, the processor may be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without limitation.

[0117] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0118] Specific examples are used in this article to elaborate on the principles and implementation manners of this application. The description of the above embodiments is only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A method for determining the residual strength safety factor of a dam bag, characterized in that: The method for determining the residual strength safety factor of the dam bag includes: Step 1: Obtain target dam bag geometric parameters and preset target dam bag mechanical performance parameters, and establish a target dam bag simulation model based on the target dam bag geometric parameters and preset target dam bag mechanical performance parameters; the target dam bag is a running rubber dam bag; Step 2: Calculate the first dam bag data based on the target dam bag simulation model; Step 3: Compare the first dam bag data with the second dam bag data to calculate the relative error; wherein the second dam bag data is the actual measured data obtained by the measuring device arranged on the target dam bag; Step 4: Determine whether the relative error is within a preset range, and when the relative error is not within the preset range, optimize the preset target dam bag mechanical performance parameters required for constructing the target dam bag simulation model, and then establish the target dam bag simulation model based on the target dam bag geometric parameters and the optimized preset target dam bag mechanical performance parameters, return to step 2, and when the relative error is within the preset range, determine the preset target dam bag mechanical performance parameters as the true target dam bag mechanical performance parameters; Step 5: Calculate the maximum radial strength of the target dam bag based on the actual mechanical performance parameters of the target dam bag and the maximum dam height condition of the target dam bag simulation model, and calculate the residual strength safety factor of the target dam bag based on the maximum radial strength of the target dam bag; The calculation formula of the target dam bag residual strength safety factor is: Safety factor of residual strength of target dam bag = target dam bag tape strength / target dam bag radial maximum strength.

2. A method for determining the residual strength safety factor of a dam bag according to claim 1, characterized in that: The target dam bag simulation model is a three-dimensional finite element model; the first dam bag data includes finite element simulated displacement and finite element simulated strain; the second dam bag data includes measured displacement and measured strain.

3. A method for determining the residual strength safety factor of a dam bag according to claim 2, characterized in that: The measuring device arranged on the target dam bag includes a fiber grating sensor and a total station; the fiber grating sensor and the reflector of the total station are arranged on both sides of the axial center line of the target dam bag, 1m apart in the axial direction; the arrangement positions of the fiber grating sensor and the reflector of the total station at least include: the axial middle of the target dam bag, the cross-sectional dam top and the downstream position of the target dam bag.

4. A method for determining the residual strength safety factor of a dam bag according to claim 3, characterized in that: The determination process of the measured displacement is: When the target dam bag is at a first height, obtaining first position information of the target dam bag by using a total station; When the target dam bag is at a second height, obtaining second position information of the target dam bag by using a total station; The measured displacement is determined according to the acquired first position information and the second position information.

5. A method for determining the residual strength safety factor of a dam bag according to claim 3, characterized in that: The process of determining the measured strain is: When the target dam bag is at a first height, obtaining first deformation information of the target dam bag by using a fiber grating sensor; When the target dam bag is at a second height, obtaining second deformation information of the target dam bag by using a fiber grating sensor; The measured strain is determined according to the acquired first deformation information and the second deformation information.

6. A method for determining the residual strength safety factor of a dam bag according to claim 1, characterized in that: Optimize the preset target dam bag mechanical performance parameters in the target dam bag simulation model, including: The least squares method is used to optimize the preset target dam bag mechanical performance parameters in the target dam bag simulation model.

7. A method for determining the residual strength safety factor of a dam bag according to claim 1, characterized in that: The target dam bag mechanical performance parameters include elastic modulus and Poisson's ratio.

8. A method for determining the residual strength safety factor of a dam bag according to claim 1, characterized in that: Based on the actual target dam bag mechanical performance parameters and the maximum dam height condition of the target dam bag simulation model, calculating the target dam bag radial maximum strength includes: According to the elastic modulus and Poisson's ratio of the actual target dam bag mechanical performance parameters, combined with the finite element simulation of the maximum dam height condition, the radial maximum strength of the target dam bag is calculated.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining the residual strength safety factor of a dam bag according to any one of claims 1 to 8.

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