Full life cycle seepage characteristics prediction method and system based on dam original data

Abstract

This application provides a method and system for predicting the full life cycle permeability characteristics of a dam based on its original data. The method includes the following steps: collecting dam design information and original permeability performance data of the dam at different times, and dividing the original permeability performance data into a training set and a validation set; dividing the full life cycle of the dam into different stages; selecting different types of data fitting functions to fit the permeability performance data of the dam material at different times and constructing different types of function models; constructing a three-dimensional finite element model of the dam based on the dam design information; calculating and obtaining the permeability coefficient of the dam based on the constructed different types of function models; performing inverse calculations on the different types of function models; and inputting the operating time of the dam to be predicted into the verified permeability performance prediction model to obtain the permeability coefficient of the dam. This application can improve computational efficiency, reveal the evolution of the permeability characteristics of the dam during operation, and has important application value for the safe control of seepage in dam projects.

Description

Technical Field

[0001] The present application relates to the technical field of prediction of permeability of rock and soil materials, and specifically to a method and system for predicting permeability characteristics throughout the entire life cycle based on original data of dams. Background Art

[0002] my country's water conservancy sector is rapidly developing, with the number of dams now reaching 100,000. The safe operation of dams can create enormous economic and social benefits, but a dam failure can have unimaginable consequences. Therefore, the seepage safety of dams has attracted widespread attention. To effectively predict the seepage safety of dams, it is first necessary to understand their permeability characteristics. Simulations can be performed using a finite element model of the dam, applying both actual operating conditions and design conditions as boundary conditions to assess the seepage safety of the dam under different conditions. However, when calculating the permeability of dams, engineers often use the parameters used during design. Engineers often fail to consider the degradation of permeability caused by soil particle loss during the dam's service life. Furthermore, due to the complexity and variability of operating conditions and the wear and tear of the dam, it is difficult to provide an effective permeability coefficient prediction model for dam design. Sampling dams and conducting field tests or laboratory measurements can provide the current material permeability coefficient. However, this method is time-sensitive, can have irreversible negative impacts on the dam, and requires significant human and material resources.

[0003] When calculating dam seepage, the permeability coefficient is generally derived from three sources: design parameters, field sampling, and empirical estimates. For design parameters, the dam has been in operation for some time, during which time fine particles within the dam material may have been washed out of the soil skeleton by water or squeezed by external forces, significantly degrading the permeability of the dam material. This results in a large gap between the design parameters and actual conditions. For field sampling, samples are generally taken from the dam through on-site coring. While this method is accurate, the results are time-sensitive, consumes a lot of manpower and material resources, and will also cause certain losses to the integrity of the dam body. For empirical estimates, there is usually an over-reliance on expert experience, but experts' empirical estimates always have certain errors, which will also have a significant impact on dam seepage calculations. Summary of the Invention

[0004] The present application provides a method for predicting the permeability characteristics of the entire life cycle of a dam based on the original data of the dam. This method can solve the problem in the prior art that when performing dam seepage calculations, the sources of permeability coefficients generally include design parameters, on-site sampling, and empirical estimation. For design parameters, the dam has been in operation for a period of time. During this period, the fine particles in the dam material may be washed out of the soil skeleton by water flow or squeezed by external forces, greatly deteriorating the permeability of the dam material, which leads to a large gap between the design parameters and the actual situation; for on-site sampling, samples are generally taken in the dam through on-site coring. Although this method is accurate, the results have a certain timeliness, consume a lot of manpower and material resources, and will also cause certain losses to the integrity of the dam body; for empirical estimation, it is usually overly dependent on expert experience, but there are always certain errors in the expert's empirical estimation, which will also have a greater impact on the dam seepage calculation.

[0005] First, the present application provides a method for predicting the permeability characteristics of a dam over its entire life cycle based on the original data of the dam. The method collects the dam design information and the original permeability performance data of the dam at different times, and divides the original permeability performance data into a training set and a validation set.

[0006] Based on the original permeability performance data, the entire life cycle of the dam is divided into different stages;

[0007] Select different types of data fitting functions, fit the training set according to the different stages of division, and build different types of function models;

[0008] Construct a three-dimensional finite element model of the dam based on the design information of the dam;

[0009] Based on the constructed different types of function models, the permeability coefficient of the dam is calculated;

[0010] Based on the constructed three-dimensional finite element model and dam design information, different types of function models are back-calculated and verified, and the function models that pass the verification are obtained as the permeability characteristic prediction models;

[0011] Input the operating time of the dam to be predicted into the verified permeability characteristic prediction model to obtain the dam permeability coefficient.

[0012] In conjunction with the first aspect, in one embodiment, the entire life cycle of the dam is divided into different stages based on the original permeability performance data, wherein the different stages include the initial operation period, the normal operation period, the hazard removal and reinforcement period, and the decommissioning period:

[0013] The initial operation period is the initial stage of dam impoundment, when the rate of change of the permeability data of the dam body material exceeds the initial rate of change threshold;

[0014] The normal operation period is after the initial water storage period, when the permeability performance data of various materials of the dam change at a rate lower than the change rate threshold;

[0015] The hazard removal and reinforcement period is the period after the dam's normal operation period when the rate of decline of the dam's permeability performance data exceeds the rate of decline threshold and the dam can undergo hazard removal, reinforcement and repair.

[0016] The retirement period is when the permeability of the dam is lower than the permeability threshold.

[0017] In conjunction with the first aspect, in one embodiment, selecting different types of data fitting functions, fitting training sets according to different stages of division, and constructing different types of function models specifically include the following steps:

[0018] Based on the permeability coefficients of a group of dam bodies and a group of dam foundations at each stage, a linear function segmented evolution model of the permeability coefficients of the earth-rock dam body and dam foundation is established;

[0019] According to the permeability coefficients of the two groups of dam bodies and two groups of dam foundations at each stage, a quadratic function segmented evolution model of the permeability coefficients of the earth-rock dam body and dam foundation is established.

[0020] In combination with the first aspect, in one embodiment, based on the permeability coefficients of a group of dam bodies and a group of dam foundations at each stage, a linear function piecewise evolution model of the permeability coefficients of the earth-rock dam body and the dam foundation is established as follows:

[0021]

[0022] Where, is a linear function of the dam body, is a linear function of the dam foundation, 、 The linear weight coefficient and correction coefficient of the dam body permeability coefficient are respectively, 、 are the linear weight coefficient and correction coefficient of the dam foundation permeability coefficient, t is the operating time of the dam, 、 、 、 The subscript numbers of and t are stage numbers, and 1, 2, 3 and 4 correspond to the initial operation period, normal operation period, hazard removal and reinforcement period and decommissioning period, respectively.

[0023] In combination with the first aspect, in one embodiment, based on the permeability coefficients of the two groups of dam bodies and the two groups of dam foundations at each stage, a quadratic function model in the quadratic function segmented evolution model of the permeability coefficients of the earth-rock dam body and the dam foundation is established as follows:

[0024]

[0025] Where, is the quadratic function of the dam body, is the quadratic function of the dam foundation, 、 are the linear weight coefficient and the correction coefficient respectively, 、 are the linear weight coefficient and correction coefficient respectively, t is the operating time of the dam, 、 、 、 The subscript numbers of and t are stage numbers, and 1, 2, 3 and 4 correspond to the initial operation period, normal operation period, hazard removal and reinforcement period and decommissioning period, respectively.

[0026] In conjunction with the first aspect, in one embodiment, performing inversion verification on different types of function models based on the constructed three-dimensional finite element model and dam design information, and obtaining a function model that passes the verification as a permeability characteristic prediction model, specifically includes the following steps:

[0027] Parameters of the constructed 3D finite element model of the dam are set according to the dam design information;

[0028] Input the dam operation time into the constructed different types of function models and output the permeability performance data corresponding to the three-dimensional finite element model;

[0029] Comparing the output permeability data with the actual permeability data of the dam to obtain a comparison result;

[0030] The function model that has passed the verification is obtained by inversion and used as the permeability characteristic prediction model.

[0031] In combination with the first aspect, in one embodiment, in the step of inverting and obtaining a verified function model as a permeability prediction model, the permeability prediction model is:

[0032]

[0033] Where, is the permeability coefficient, The operating time of the dam.

[0034] Secondly, this application provides a full life cycle permeability characteristics prediction system based on dam raw data, including:

[0035] The dam raw data collection module is used to collect dam design information and the raw permeability performance data of dams at different periods, and divide the raw permeability performance data into training sets and validation sets;

[0036] The full life cycle stage division module is used to divide the dam's full life cycle into different stages based on the original permeability performance data;

[0037] A data fitting function model construction module is in communication with the dam original data collection module and the full life cycle stage division module, and is used to select different types of data fitting functions, fit the training set according to the different stages of division, and construct different types of function models;

[0038] A three-dimensional finite element model building module is used to build a three-dimensional finite element model of the dam based on the design information of the dam;

[0039] The permeability coefficient prediction model acquisition module is used to calculate and obtain the permeability coefficient of the dam based on the constructed different types of function models;

[0040] Based on the constructed three-dimensional finite element model and dam design information, different types of function models are back-calculated and verified, and the function models that pass the verification are obtained as the permeability characteristic prediction models;

[0041] The permeability coefficient prediction module is used to input the operating time of the dam to be predicted into the verified permeability characteristic prediction model to obtain the permeability coefficient of the dam.

[0042] In conjunction with the second aspect, in one embodiment, the data fitting function model construction module includes:

[0043] a linear function piecewise evolution model construction unit, in communication with the dam original data collection module and the full life cycle stage division module, for establishing a linear function piecewise evolution model of the permeability coefficient of the earth-rock dam body and the dam foundation based on a set of permeability coefficients of critical points at each stage of the dam body and the dam foundation;

[0044] The quadratic function segmented evolution model construction unit is communicated with the embankment original data collection module and the full life cycle stage division module, and is used to establish a quadratic function segmented evolution model of the permeability coefficient of the earth-rock dam body and dam foundation based on the permeability coefficients of the critical points of each stage of the two groups of dam bodies and two groups of dam foundations.

[0045] In the third aspect, the present application provides a computer-readable storage medium, characterized in that a full life cycle permeability characteristics prediction program based on the original data of the dam is stored on the computer-readable storage medium, wherein when the full life cycle permeability characteristics prediction program based on the original data of the dam is executed by the processor, the steps of the full life cycle permeability characteristics prediction method based on the original data of the dam are implemented as described above.

[0046] The beneficial effects of the technical solutions provided in the embodiments of the present application include at least:

[0047] This application is based on the dam and uses the 3D finite element model of the dam for inversion verification. The process is clear and the method is easy to understand. At the same time, this application can also be used to solve problems such as insufficient calculation parameters due to missing data in some rock and soil bodies, and further ensure the safe and stable operation of rock and soil seepage, with a wide range of applications.

[0048] Traditional methods for calculating permeability coefficients mostly rely on frequent field tests or empirical estimates. Repeated field tests can cause irreversible damage to dams, while empirical estimates can have large accidental errors. Using this data for calculations can lead to incorrect estimates of dam seepage conditions. This application uses permeability parameters obtained from design parameters and a small number of indoor tests. By fitting the results with different types of functions and substituting them into a three-dimensional finite element model for inversion verification, a model for permeability coefficient changes in the current period of the rock and soil's life cycle is obtained. This approach simplifies calculations and achieves high efficiency.

[0049] Based on existing data, this application can reasonably deduce the functional model of the permeability coefficient of the dam material during the current operation period, and at the same time provide the prediction function of the permeability coefficient during the current operation period, providing an important reference basis for deriving the safety status of the dam and revealing the evolution of the dam's safety performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A schematic diagram of a flow chart of a method for predicting permeability characteristics throughout the entire life cycle of a dam based on raw dam data provided in an embodiment of the present application;

[0051] Figure 2 Schematic diagram of different stages of the entire life cycle of a dam provided in an embodiment of the present application;

[0052] Figure 3 A three-dimensional finite element model diagram provided for an embodiment of the present application;

[0053] Figure 4 This is the verification diagram of the dam material inversion calculation in the embodiment of this application. Figure 1 ;

[0054] Figure 5 This is the verification diagram of the dam material inversion calculation in the embodiment of this application. Figure 2 ;

[0055] Figure 6 This is the verification diagram of the dam material inversion calculation in the embodiment of this application. Figure 3 ;

[0056] Figure 7 This is the verification diagram of the dam material inversion calculation in the embodiment of this application. Figure 4 ;

[0057] Figure 8 This is a diagram showing the evolution of the permeability coefficient of dam materials provided in an embodiment of the present application. DETAILED DESCRIPTION

[0058] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0059] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0060] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0061] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0062] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0063] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0064] First, please refer to Figure 1 The present invention provides a method for predicting the permeability characteristics of a dam throughout its life cycle based on the original data of the dam, which specifically includes the following steps:

[0065] Step S1: collecting dam design information and original permeability performance data of dams at different times, and dividing the original permeability performance data into a training set and a validation set;

[0066] Step S2: Divide the entire life cycle of the dam into different stages based on the original permeability performance data;

[0067] Step S3: Select different types of data fitting functions, fit the training set according to the different stages of division, and build different types of function models;

[0068] Step S4: constructing a three-dimensional finite element model of the dam according to the design information of the dam;

[0069] Step S5: Calculate and obtain the dam permeability coefficient based on the constructed different types of function models;

[0070] Step S6: performing inverse calculations on different types of function models based on the constructed three-dimensional finite element model and the dam design information, and obtaining a function model that passes the calculation as a permeability characteristic prediction model;

[0071] Step S7: Input the operating time of the dam to be predicted into the verified permeability characteristic prediction model to obtain the permeability coefficient of the dam.

[0072] This application is based on the dam and uses the 3D finite element model of the dam for inversion verification. The process is clear and the method is easy to understand. At the same time, this application can also be used to solve problems such as insufficient calculation parameters due to missing data in some rock and soil bodies, and further ensure the safe and stable operation of rock and soil seepage, with a wide range of applications.

[0073] Traditional methods for calculating permeability coefficients mostly rely on frequent field tests or empirical estimates. Repeated field tests can cause irreversible damage to dams, while empirical estimates can have large accidental errors. Using this data for calculations can lead to incorrect estimates of dam seepage conditions. This application uses permeability parameters obtained from design parameters and a small number of indoor tests. By fitting the results with different types of functions and substituting them into a three-dimensional finite element model for inversion verification, a model for permeability coefficient changes in the current period of the rock and soil's life cycle is obtained. This approach simplifies calculations and achieves high efficiency.

[0074] Based on existing data, this application can reasonably deduce the functional model of the permeability coefficient of the dam material during the current operation period, and at the same time provide the prediction function of the permeability coefficient during the current operation period, providing an important reference basis for deriving the safety status of the dam and revealing the evolution of the dam's safety performance.

[0075] In one embodiment, in step S1, the dam design information includes the dam structure design of the dam body and the dam foundation, the dam permeability performance data includes the dam body permeability performance data and the dam foundation permeability performance data, and the permeability data includes the dam operation time and the permeability of the dam body and the permeability of the dam foundation at the corresponding time.

[0076] In summary, this application can simplify the calculation process, improve calculation efficiency, and reveal the evolution of the permeability characteristics of dam materials during the current operation period, which has important application value for the safe control of seepage in dam projects.

[0077] In one embodiment, holes are drilled at different locations on the dam body and dam foundation to obtain the permeability coefficients at those locations, as shown in Table 1:

[0078] Table 1 Drilling results of the main dam of the reservoir over the years

[0079]

[0080] In a specific embodiment, according to the drilling results data over the years, the average permeability coefficient of the main dam material of the reservoir in 2000 was 1.47×10 -5 cm / s; the average permeability coefficient of the dam foundation in 2005 and 2017 is 3.25×10 -4 cm / s and 2.60×10 -4 cm / s; in 2008, the permeability coefficients of the reservoir dam body and dam foundation were 7.04×10 -6 cm / s and 3.69×10 - 5 The seepage monitoring data from 2014, 2015, 2016, and 2018 were used as training sets, and the seepage monitoring data from 2014, 2015, 2016, and 2018 were used as validation sets to invert the permeability coefficient of the dam body and improve the evolution model.

[0081] In one embodiment, if Figure 2 As shown, in step S2, the entire life cycle of the dam is divided into different stages based on the original permeability performance data. The different stages include the initial operation period, the normal operation period, the hazard removal and reinforcement period, and the decommissioning period:

[0082] The initial operation period is the initial stage of the dam's water storage. The change rate of the permeability performance data of the dam body material exceeds the initial change rate threshold. The performance of the dam changes rapidly, and the permeability performance of the dam body material changes rapidly in this stage.

[0083] The normal operation period is after the initial water storage period, when the permeability performance data of various materials of the dam change at a rate lower than the change rate threshold, the performance evolution of various materials of the dam tends to be stable, and the changes in their material properties also change slowly over a long period of time. During the entire life cycle of the dam, the dam will be in the normal operation period for a long time;

[0084] The hazard removal and reinforcement period is a period after the dam has been in normal operation for a long time, when various aspects of the dam become dangerous and the rate of decline of the dam's permeability performance data exceeds the rate of decline threshold, and the dam can be repaired and repaired through hazard removal and reinforcement. The dam will no longer meet the requirements for safe and stable operation. At this time, in order for the dam to continue to operate normally, hazard removal and reinforcement measures need to be taken. During this stage, the performance of the dam material is improved through various hazard removal and reinforcement measures.

[0085] The retirement period is when the permeability of the dam is lower than the permeability threshold. When the performance of the dam cannot meet the requirements of normal operation and no subsequent reinforcement measures are taken on the dam, the dam will enter the retirement period after expert review.

[0086] In one embodiment, the step S3, selecting different types of data fitting functions, fitting the training set according to the different stages of division, and constructing different types of function models, specifically includes the following steps:

[0087] Step S3A: establishing a linear function segmented evolution model of the permeability coefficients of the earth-rock dam body and the dam foundation based on a set of permeability coefficients of the dam body and the dam foundation at each stage;

[0088] Step S3B: establishing a quadratic function segmented evolution model of the permeability coefficients of the earth-rock dam body and dam foundation based on the permeability coefficients of the two groups of dam bodies and the two groups of dam foundations at each stage.

[0089] In step S3, different types of data fitting functions are linear functions, quadratic linear functions or tangent and inverse tangent functions.

[0090] In step S3B, the permeability coefficients of the critical points of the two groups of dam bodies and the two groups of dam foundations at each stage may be the permeability coefficients of the critical points of the two groups of dam bodies and the two groups of dam foundations at each stage at different times, or the permeability coefficients of the critical points of the two groups of dam bodies at each stage at different positions of the dam bodies and the permeability coefficients of the critical points of the two groups of dam foundations at each stage at different positions of the dam foundation, or the permeability coefficients of the critical points of the dam bodies and the dam foundations at each stage at two different water levels.

[0091] In one embodiment, in step S4, based on the permeability coefficients of a group of dam bodies and a group of dam foundations at each stage, a linear function piecewise evolution model of the permeability coefficients of the earth-rock dam body and the dam foundation is established, wherein the linear function piecewise evolution model is:

[0092]

[0093] Where, is a linear function of the dam body, is a linear function of the dam foundation, 、 The linear weight coefficient and correction coefficient of the dam body permeability coefficient are respectively, 、 are the linear weight coefficient and correction coefficient of the dam foundation permeability coefficient, t is the operating time of the dam, 、 、 、 The subscript numbers of and t are stage numbers, and 1, 2, 3 and 4 correspond to the initial operation period, normal operation period, hazard removal and reinforcement period and decommissioning period, respectively.

[0094] In one embodiment, in step S5, based on the permeability coefficients of the two groups of dam bodies and the two groups of dam foundations at each stage, a quadratic function model of the quadratic function segmented evolution model of the permeability coefficients of the earth-rock dam body and the dam foundation is established as follows:

[0095]

[0096] Where, is the quadratic function of the dam body, is the quadratic function of the dam foundation, 、 are the linear weight coefficient and the correction coefficient respectively, 、 are the linear weight coefficient and correction coefficient respectively, t is the operating time of the dam, 、 、 、 The subscript numbers of and t are stage numbers, and 1, 2, 3 and 4 correspond to the initial operation period, normal operation period, hazard removal and reinforcement period and decommissioning period, respectively.

[0097] In one embodiment, the step S5 is to construct a three-dimensional finite element model of the dam according to the design information of the dam, such as Figure 3 shown.

[0098] In one embodiment, the step S5 is to calculate and obtain the dam permeability coefficient based on the constructed different types of function models;

[0099] Based on the constructed three-dimensional finite element model and dam design information, different types of function models are back-calculated and verified, and the function model that passes the calculation is obtained as the permeability characteristic prediction model. The specific steps include:

[0100] Parameters of the constructed 3D finite element model of the dam are set according to the dam design information;

[0101] Input the dam operation time to the constructed different types of function models, and output the permeability performance data corresponding to the three-dimensional finite element model, as shown in Table 2:

[0102] Table 2 Table of permeability coefficient values ​​of the reservoir dam model

[0103]

[0104] In the table, k It represents the permeability coefficient. The subscripts x, y, and z represent the permeability coefficients in the x, y, and z directions respectively. Rocks are generally regarded as isotropic objects for calculations, so the permeability coefficients in the three directions are the same.

[0105] Compare the output permeability data with the actual permeability data of the dam to obtain the comparison results; specifically, according to the actual working conditions, verify the reliability of the results calculated by different types of function models, and improve the evolution model by inverting the permeability coefficient of the dam body based on the seepage monitoring data of the verification set in 2014, 2015, 2016 and 2018. The inversion results of the linear function model are shown in the attached figure. Figure 4-Figure 7 The verification results are shown in Table 3:

[0106] Table 3 Inversion results of the reservoir dam seepage monitoring data (unit: m)

[0107]

[0108] After inversion, the calculated values ​​of different measuring points are obtained through simulation with self-developed software, and then the data are fitted according to different function types to obtain the fitting curve, and then the correlation coefficient (i.e. Figure 8 R in 2 , the closer it is to 1, the stronger the correlation is) to judge the fitting effect, so as to obtain the function model that passes the verification as the permeability characteristic prediction model.

[0109] In one embodiment, in the step S8, the step of inverting and obtaining the verified function model as the permeability characteristic prediction model, as shown in FIG. Figure 8 As shown, the permeability characteristic prediction model is:

[0110]

[0111] Where, is the permeability coefficient, The operating time of the dam.

[0112] In this embodiment, based on the drilling results of the reservoir main dam over the years in Table 1, a specific permeability characteristic prediction model suitable for the dam body is constructed through steps S2 to S5.

[0113] This method combines the above-mentioned several existing methods of obtaining permeability coefficients with the original parameters and sampling data to simulate the permeability coefficient change model at different stages of the dam's life cycle. At the same time, the permeability coefficient is inverted and verified through a three-dimensional finite element model. Finally, a piecewise function of the permeability coefficient of the dam at different stages is formed to ensure the accuracy and convenience of the permeability coefficient value when calculating the dam seepage, thereby providing an important reference basis for the seepage safety of the dam.

[0114] Secondly, this application provides a full life cycle permeability characteristics prediction system based on the original data of the dam, including:

[0115] The dam raw data collection module is used to collect dam design information and the raw permeability performance data of dams at different periods, and divide the raw permeability performance data into training sets and validation sets;

[0116] The full life cycle stage division module is used to divide the dam's full life cycle into different stages based on the original permeability performance data;

[0117] A data fitting function model construction module is in communication with the dam original data collection module and the full life cycle stage division module, and is used to select different types of data fitting functions, fit the training set according to the different stages of division, and construct different types of function models;

[0118] A three-dimensional finite element model building module is used to build a three-dimensional finite element model of the dam based on the design information of the dam;

[0119] The permeability coefficient prediction model acquisition module is used to calculate and obtain the permeability coefficient of the dam based on the constructed different types of function models;

[0120] Based on the constructed three-dimensional finite element model and dam design information, different types of function models are back-calculated and verified, and the function models that pass the verification are obtained as the permeability characteristic prediction models;

[0121] The permeability coefficient prediction module is used to input the operating time of the dam to be predicted into the verified permeability characteristic prediction model to obtain the permeability coefficient of the dam.

[0122] In one embodiment, the data fitting function model building module includes:

[0123] a linear function piecewise evolution model construction unit, in communication with the dam original data collection module and the full life cycle stage division module, for establishing a linear function piecewise evolution model of the permeability coefficient of the earth-rock dam body and the dam foundation based on a set of permeability coefficients of critical points at each stage of the dam body and the dam foundation;

[0124] A quadratic function piecewise evolution model construction unit is communicatively connected to the dam raw data collection module and the lifecycle stage division module, and is configured to establish a quadratic function piecewise evolution model of the permeability coefficients of the earth-rockfill dam body and foundation based on the permeability coefficients of the two groups of dam bodies and two groups of dam foundations at each critical point in each stage. The functional implementation of each module in the above-mentioned lifecycle permeability characteristics prediction system based on dam raw data corresponds to the various steps in the above-mentioned embodiment of the lifecycle permeability characteristics prediction method based on dam raw data, and their functions and implementation processes are not further detailed here.

[0125] On the third aspect, an embodiment of the present application provides a full life cycle permeability characteristics prediction device based on the original data of the dam. The full life cycle permeability characteristics prediction device based on the original data of the dam can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0126] In an embodiment of the present application, a device for predicting the full life cycle permeability characteristics based on the original data of the dam may include a processor, a memory, a communication interface, and a communication bus.

[0127] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0128] Communication interfaces include input / output (I / O), physical, and logical interfaces, which interconnect components within the device for predicting the full lifecycle permeability characteristics of dam raw data. They also interconnect the device with other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber, and ATM interfaces; user devices can include displays and keyboards.

[0129] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0130] The processor can be a general-purpose processor that can invoke a full-lifecycle permeability characteristics prediction program based on dam raw data stored in a memory and execute the full-lifecycle permeability characteristics prediction method based on dam raw data provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The methods executed when the full-lifecycle permeability characteristics prediction program based on dam raw data is invoked can be referenced from the various embodiments of the full-lifecycle permeability characteristics prediction method based on dam raw data provided in this application and will not be further described here.

[0131] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.

[0132] The readable storage medium of the present application stores a full life cycle permeability characteristics prediction program based on the original data of the dam, wherein when the full life cycle permeability characteristics prediction program based on the original data of the dam is executed by the processor, the steps of the full life cycle permeability characteristics prediction method based on the original data of the dam are implemented as described above.

[0133] Among them, the method implemented when the full life cycle permeability characteristics prediction program based on the original data of the dam is executed can refer to the various embodiments of the full life cycle permeability characteristics prediction method based on the original data of the dam in this application, and will not be repeated here.

[0134] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0135] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of this application.

[0136] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for predicting the permeability characteristics of a dam throughout its life cycle based on the original data of the dam, characterized in that: The following steps are involved: Collect dam design information and original permeability data of dams at different times, and divide the original permeability data into training and validation sets; Based on the original permeability performance data, the entire life cycle of the dam is divided into different stages; Select different types of data fitting functions, fit the training set according to the different stages of division, and build different types of function models; Construct a three-dimensional finite element model of the dam based on the design information of the dam; Based on the constructed different types of function models, the permeability coefficient of the dam is calculated; Based on the constructed three-dimensional finite element model and dam design information, different types of function models are back-calculated and verified, and the function models that pass the verification are obtained as the permeability characteristic prediction models; Input the operating time of the dam to be predicted into the verified permeability characteristic prediction model to obtain the dam permeability coefficient.

2. The method for predicting the full life cycle permeability characteristics of a dam based on the original data of claim 1, characterized in that: According to the original permeability data, the entire life cycle of the dam is divided into different stages, including the initial operation period, normal operation period, hazard removal and reinforcement period, and decommissioning period: The initial operation period is the initial stage of dam impoundment, when the rate of change of the permeability data of the dam body material exceeds the initial rate of change threshold; The normal operation period is after the initial water storage period, when the permeability performance data of various materials of the dam change at a rate lower than the change rate threshold; The hazard removal and reinforcement period is the period after the dam's normal operation period when the rate of decline of the dam's permeability performance data exceeds the rate of decline threshold and the dam can undergo hazard removal, reinforcement and repair. The retirement period is when the permeability of the dam is lower than the permeability threshold.

3. The method for predicting the full life cycle permeability characteristics of a dam based on the original data of claim 1, characterized in that: The method of selecting different types of data fitting functions, fitting training sets according to different stages of division, and constructing different types of function models specifically includes the following steps: Based on the permeability coefficients of a group of dam bodies and a group of dam foundations at each stage, a linear function segmented evolution model of the permeability coefficients of the earth-rock dam body and dam foundation is established; According to the permeability coefficients of the two groups of dam bodies and two groups of dam foundations at each stage, a quadratic function segmented evolution model of the permeability coefficients of the earth-rock dam body and dam foundation is established.

4. The method for predicting the full life cycle permeability characteristics of a dam based on the original data of claim 3 is characterized in that: The linear function piecewise evolution model of the permeability coefficient of the earth-rock dam body and the dam foundation is established based on the permeability coefficients of a group of dam bodies and a group of dam foundations at each stage as follows: Where, is a linear function of the dam body, is a linear function of the dam foundation, 、 The linear weight coefficient and correction coefficient of the dam body permeability coefficient are respectively, 、 are the linear weight coefficient and correction coefficient of the dam foundation permeability coefficient, t is the operating time of the dam, 、 、 、 The subscript numbers of and t are stage numbers, and 1, 2, 3 and 4 correspond to the initial operation period, normal operation period, hazard removal and reinforcement period and decommissioning period, respectively.

5. The method for predicting the full life cycle permeability characteristics of a dam based on the original data of claim 3 is characterized in that: The quadratic function model in the quadratic function segmented evolution model of the permeability coefficient of the earth-rock dam body and dam foundation is established based on the permeability coefficients of the two groups of dam bodies and the two groups of dam foundations at each stage: Where, is the quadratic function of the dam body, is the quadratic function of the dam foundation, 、 are the linear weight coefficient and the correction coefficient respectively, 、 are the linear weight coefficient and correction coefficient respectively, t is the operating time of the dam, 、 、 、 The subscript numbers of and t are stage numbers, and 1, 2, 3 and 4 correspond to the initial operation period, normal operation period, hazard removal and reinforcement period and decommissioning period, respectively.

6. The method for predicting the full life cycle permeability characteristics of a dam based on raw data according to claim 1, characterized in that: The method of performing inverse calculations on different types of function models based on the constructed three-dimensional finite element model and the dam design information, and obtaining a function model that passes the calculation as a permeability characteristic prediction model, specifically includes the following steps: Parameters of the constructed 3D finite element model of the dam are set according to the dam design information; Input the dam operation time into the constructed different types of function models and output the permeability performance data corresponding to the three-dimensional finite element model; Comparing the output permeability data with the actual permeability data of the dam to obtain a comparison result; The function model that has passed the verification is obtained by inversion and used as the permeability characteristic prediction model.

7. The method for predicting the full life cycle permeability characteristics of a dam based on the original data of claim 6, characterized in that: In the step of obtaining the verified function model through inversion as the permeability characteristic prediction model, the permeability characteristic prediction model is: Where, is the permeability coefficient, The operating time of the dam.

8. A full life cycle permeability prediction system based on dam original data, characterized by: include: The dam raw data collection module is used to collect dam design information and the raw permeability performance data of dams at different periods, and divide the raw permeability performance data into training sets and validation sets; The full life cycle stage division module is used to divide the dam's full life cycle into different stages based on the original permeability performance data; A data fitting function model construction module is in communication with the dam original data collection module and the full life cycle stage division module, and is used to select different types of data fitting functions, fit the training set according to the different stages of division, and construct different types of function models; A three-dimensional finite element model building module is used to build a three-dimensional finite element model of the dam based on the design information of the dam; The permeability coefficient prediction model acquisition module is used to calculate and obtain the permeability coefficient of the dam based on the constructed different types of function models; Based on the constructed three-dimensional finite element model and dam design information, different types of function models are back-calculated and verified, and the function models that pass the verification are obtained as the permeability characteristic prediction models; The permeability coefficient prediction module is used to input the operating time of the dam to be predicted into the verified permeability characteristic prediction model to obtain the permeability coefficient of the dam.

9. The full life cycle permeability characteristics prediction system based on dam original data according to claim 8 is characterized in that: The data fitting function model building module includes: a linear function piecewise evolution model construction unit, in communication with the dam original data collection module and the full life cycle stage division module, for establishing a linear function piecewise evolution model of the permeability coefficient of the earth-rock dam body and the dam foundation based on a set of permeability coefficients of critical points at each stage of the dam body and the dam foundation; The quadratic function segmented evolution model construction unit is communicated with the embankment original data collection module and the full life cycle stage division module, and is used to establish a quadratic function segmented evolution model of the permeability coefficient of the earth-rock dam body and dam foundation based on the permeability coefficients of the critical points of each stage of the two groups of dam bodies and two groups of dam foundations.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a full life cycle permeability characteristics prediction program based on the original data of the dam, wherein when the full life cycle permeability characteristics prediction program based on the original data of the dam is executed by the processor, the steps of the full life cycle permeability characteristics prediction method based on the original data of the dam are implemented as described in any one of claims 1 to 7.

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