Multi-source data fusion tailing dam earthquake dynamic stability analysis and dam break prediction method

Abstract

The invention provides a multi-source data fused tailing dam earthquake dynamic stability analysis and dam break prediction method, which comprises the following steps: acquiring site surrounding environment, meteorological data, geological data and hydrological data of a tailing dam to obtain multi-source data, and fusing the multi-source data to obtain a multi-source data fusion model; a comprehensive and accurate data basis is provided for tailing dam earthquake dynamic stability analysis and dam break prediction, the static state distribution of the tailing dam before an earthquake is determined based on the target tailing dam data, the condition of the tailing dam is analyzed before the earthquake, earthquake parameters are designed to perform earthquake simulation under the static state distribution, and the earthquake simulation result is obtained. The method comprises the steps of determining tailing dam liquefaction parameters and tailing dam deformation parameters under earthquake parameters, achieving analysis of dynamic characteristics of the tailing dam in the earthquake process, determining dynamic stability and dam break predicted values of the tailing dam based on the tailing dam liquefaction parameters and the tailing dam deformation parameters, and achieving dynamic stability and dam break predicted values of the tailing dam. And effective information is provided for safety protection of the tailing dam.

Description

Technical Field

[0001] The present invention relates to the technical field of tailings dams, and particularly to a method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion. Background Art

[0002] The dynamic response and stability analysis of tailings dams under earthquake action are an important part of the safety assessment of tailings reservoirs. The tailings dams may also experience dynamic instability under earthquake action. Earthquakes can cause static and dynamic instability of tailings dams. The propagation of seismic waves will cause the tailings dams to be strongly shaken, resulting in stress changes inside the dam body, thus triggering dam breaks. Earthquakes will also cause the stability of the tailings dam slope to decline, leading to slope instability and then dam breaks. Earthquakes can also cause tailings liquefaction, especially in the bearing area of the tailings dam. Liquefaction will cause the bearing capacity of the tailings dam to drop sharply, resulting in dam body instability and dam breaks.

[0003] How to conduct seismic dynamic stability analysis and dam-break prediction of tailings dams has become an important part of ensuring the production safety of tailings dams. Summary of the Invention

[0004] The present invention provides a method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion to solve the problems raised in the background art.

[0005] A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion includes:

[0006] S1: Collect the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam site to obtain multi-source data, and fuse the multi-source data to obtain target tailings dam data;

[0007] S2: Determine the static state distribution of the tailings dam before the earthquake based on the target tailings dam data;

[0008] S3: Design seismic parameters and conduct seismic simulation under the static state distribution to determine the liquefaction parameters and deformation parameters of the tailings dam under the seismic parameters;

[0009] S4: Determine the dynamic stability and dam-break prediction value of the tailings dam based on the liquefaction parameters and deformation parameters of the tailings dam.

[0010] Preferably, in S1, collecting the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam includes:

[0011] Collect the residential, enterprise production, transportation construction, and production and living information around the tailings dam site to obtain the surrounding environment;

[0012] Collect the meteorological data of the tailings dam within a preset future time period based on the meteorological station;

[0013] Based on the geological collection work, obtain the monitoring information of the topography, strata and geology of the tailings dam, integrate the monitoring information, and obtain geological data;

[0014] Based on the hydrological collection work, obtain the hydrological data of the surface water and groundwater of the tailings dam.

[0015] Preferably, in S1, fuse the multi-source data to obtain the target tailings dam data, including:

[0016] Standardize the multi-source data to obtain the standard multi-source data;

[0017] Based on the tailings dam body, determine multiple entities, and fuse the standard multi-source data based on the association between the standard multi-source data and the entities to obtain the target tailings dam data.

[0018] Preferably, in S2, based on the target tailings dam data, determine the static state distribution before the earthquake of the tailings dam, including:

[0019] Establish a three-dimensional simulation model of the tailings dam based on the three-dimensional basic data of the tailings dam;

[0020] Obtain the finite element analysis model diagrams at multiple preset elevations from the three-dimensional simulation model;

[0021] Based on the finite element analysis model diagrams, obtain the static state distribution of the tailings dam before the earthquake at each preset elevation.

[0022] Preferably, obtaining the finite element analysis model diagrams at multiple preset elevations from the three-dimensional simulation model includes:

[0023] Determine the reference plane from the three-dimensional simulation model, and obtain the plane display diagram of the preset elevation with the reference plane as the standard;

[0024] Based on the material type, perform color marking on the plane display diagram to obtain the finite element analysis model diagram.

[0025] Preferably, based on the finite element analysis model diagrams, obtaining the static state distribution of the tailings dam before the earthquake at each preset elevation includes:

[0026] Determine the force characteristics, deformation characteristics and material characteristics of each geometric unit from the finite element analysis model diagram, and determine the displacement constraints and force conditions of the geometric unit based on the force characteristics, deformation characteristics and material characteristics;

[0027] Based on the force characteristics, deformation characteristics, and material characteristics, combined with displacement constraints and force conditions, input into the pre-determined calculation models of effective principal stress, displacement and stress level, and shear stress and maximum shear strain increment to obtain the initial static state values of each geometric element;

[0028] Based on the positional association and state association among all geometric elements, determine the merging rules for all geometric elements, and merge the geometric elements according to the merging rules to obtain multiple types of regions;

[0029] Based on the type characteristics of the type regions, determine the processing method for the initial static state values, and process the initial static state values of the geometric elements in each type region according to the processing method to obtain the regional static state values of the type regions;

[0030] Based on the regional static state values of the type regions, establish an equivalent cloud map of the tailings dam before the earthquake at each preset elevation, and determine the static state distribution of the tailings dam before the earthquake at each preset elevation based on the equivalent cloud map.

[0031] Preferably, in S3, the design earthquake parameters are used for earthquake simulation under the static state distribution to determine the liquefaction parameters and deformation parameters of the tailings dam under the earthquake parameters, including:

[0032] Based on the target tailings dam data, determine the earthquake parameters;

[0033] Based on the earthquake simulation model, conduct earthquake simulation of the tailings dam under the static state distribution according to the earthquake parameters to obtain simulation result data;

[0034] Based on the simulation result data, determine the liquefaction parameters and deformation parameters of the tailings dam.

[0035] Preferably, the determining the earthquake parameters based on the target tailings dam data includes:

[0036] Obtain the historical earthquake waves and historical earthquake area characteristics that actually occurred in history from the earthquake database;

[0037] Based on the matching of the target tailings dam data and the historical earthquake area characteristics, obtain the target historical earthquake wave with the highest matching degree;

[0038] Obtain the vertical acceleration response spectrum and horizontal acceleration response spectrum of the target historical earthquake wave;

[0039] Based on the target tailings dam data, design a target acceleration response spectrum that meets the tailings dam, and adjust the vertical acceleration response spectrum and horizontal acceleration response spectrum based on the target acceleration response spectrum to obtain the target vertical response spectrum and target horizontal response spectrum;

[0040] Adjust the target historical seismic wave based on the target vertical response spectrum and the target horizontal response spectrum to obtain an initial seismic wave, and determine the peak ground motion, the spectral characteristics of the ground motion, and the duration of the ground motion of the initial seismic wave;

[0041] Predict the dominant period and seismic intensity when the initial seismic wave propagates in the tailings dam based on the target tailings dam data, and determine whether the dominant period and seismic intensity meet the preset requirements for the seismic dynamic stability of the tailings dam;

[0042] If so, use the initial seismic wave as the target seismic wave;

[0043] Otherwise, adjust the peak ground motion, the spectral characteristics of the ground motion, and the duration of the ground motion based on the preset requirements, and obtain the target seismic wave according to the adjustment results;

[0044] Determine the seismic parameters based on the target seismic wave.

[0045] Preferably, determine the liquefaction parameters and deformation parameters of the tailings dam based on the simulation result data, including:

[0046] The dynamic stress curve, cyclic shear strength curve, and deformation distribution map of the tailings dam under seismic parameters based on the simulation result data;

[0047] Determine the liquefaction parameters of the tailings dam based on the dynamic stress curve and the cyclic shear strength curve;

[0048] Determine the deformation parameters of the tailings dam based on the dynamic stress curve and the deformation distribution map.

[0049] Preferably, in S4, based on the liquefaction parameters and deformation parameters of the tailings dam, determine the dynamic stability and dam-break prediction value of the tailings dam, including:

[0050] Obtain the liquefaction parameters and deformation parameters of the tailings dam at different preset elevations, compare the liquefaction parameters and deformation parameters of the tailings dam with the preset dynamic stability parameters, and determine whether the liquefaction parameters and deformation parameters of the tailings dam meet the preset dynamic stability parameters;

[0051] If so, determine that the dynamic stability of the tailings dam at the preset elevation meets the requirements;

[0052] Otherwise, determine that the dynamic stability of the tailings dam at the preset elevation does not meet the requirements;

[0053] When the dynamic stability of the tailings dam meets the requirements at all preset elevations, determine that the dynamic stability of the tailings dam is within the stable range, and the dam-break prediction value is 0;

[0054] When the dynamic stability of the tailings dam at a preset elevation does not meet the requirements, the dynamic stability and dam-break prediction value of the tailings dam are determined based on the specific characteristics of the dynamic stability of the tailings dam at the preset elevation that does not meet the requirements.

[0055] Compared with the prior art, the present invention has achieved the following beneficial effects:

[0056] By collecting the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam site, multi-source data is obtained, and the multi-source data is fused to obtain target tailings dam data, providing a comprehensive and accurate data basis for the seismic dynamic stability analysis and dam-break prediction of the tailings dam. Based on the target tailings dam data, the static state distribution of the tailings dam before the earthquake is determined, realizing the analysis of the situation of the tailings dam before the earthquake. The seismic parameters are designed to perform seismic simulation under the static state distribution, determining the liquefaction parameters and deformation parameters of the tailings dam under the seismic parameters, realizing the analysis of the dynamic characteristics of the tailings dam during the earthquake. Based on the liquefaction parameters and deformation parameters of the tailings dam, the dynamic stability and dam-break prediction value of the tailings dam are determined, realizing the dynamic stability and dam-break prediction value of the tailings dam, providing effective information for the safety protection of the tailings dam.

[0057] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structure specifically pointed out in this application document.

[0058] The technical solutions of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0059] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0060] Figure 1 is a flowchart of a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion according to an embodiment of the present invention;

[0061] Figure 2 is a flowchart of obtaining target tailings dam data according to an embodiment of the present invention;

[0062] Figure 3 is a flowchart of determining the liquefaction parameters and deformation parameters of the tailings dam under seismic parameters according to an embodiment of the present invention. Detailed Embodiments

[0063] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0064] Embodiment 1:

[0065] An embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion, as Figure 1 shown, including:

[0066] S1: Collect the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam site to obtain multi-source data, and fuse the multi-source data to obtain target tailings dam data;

[0067] S2: Determine the static state distribution of the tailings dam before an earthquake based on the target tailings dam data;

[0068] S3: Design seismic parameters to perform seismic simulation under the static state distribution, and determine the liquefaction parameters and deformation parameters of the tailings dam under the seismic parameters;

[0069] S4: Determine the dynamic stability of the tailings dam and the dam-break prediction value based on the liquefaction parameters and deformation parameters of the tailings dam.

[0070] In this embodiment, the static state distribution is the static state distribution at multiple preset elevations, which is the specific stress condition.

[0071] In this embodiment, if the liquefaction parameters of the tailings dam exceed the expected value, it may lead to dam break.

[0072] In this embodiment, the dynamic stability of the tailings dam is determined based on preset dynamic stability parameters.

[0073] The beneficial effects of the above design are as follows: By collecting the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam site to obtain multi-source data, and fusing the multi-source data to obtain target tailings dam data, it provides a comprehensive and accurate data basis for seismic dynamic stability analysis and dam-break prediction of the tailings dam. Based on the target tailings dam data, the static state distribution of the tailings dam before an earthquake is determined, realizing the analysis of the tailings dam situation before an earthquake. Design seismic parameters to perform seismic simulation under the static state distribution, and determine the liquefaction parameters and deformation parameters of the tailings dam under the seismic parameters, realizing the analysis of the dynamic characteristics of the tailings dam during an earthquake. Based on the liquefaction parameters and deformation parameters of the tailings dam, the dynamic stability of the tailings dam and the dam-break prediction value are determined, realizing the dynamic stability and dam-break prediction value of the tailings dam, and providing effective information for the safety protection of the tailings dam.

[0074] Embodiment 2:

[0075] Based on Embodiment 1, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion. In S1, the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam site are collected, including:

[0076] Collect the residential, enterprise production, transportation construction, and production and living information around the tailings dam site to obtain the surrounding environment of the site;

[0077] Collect the meteorological data of the tailings dam within a preset future time period based on the meteorological station;

[0078] Based on geological collection work, obtain the monitoring information of the topography, strata, and geology of the tailings dam, and integrate the monitoring information to obtain geological data;

[0079] Based on hydrological collection work, obtain the surface water and groundwater hydrological data of the tailings dam.

[0080] The beneficial effects of the above design are as follows: By collecting the residential, enterprise production, transportation construction, and production and living information around the tailings dam site, the surrounding environment of the site is obtained; based on the meteorological station, the meteorological data of the tailings dam within a preset future time period is collected; based on geological collection work, the monitoring information of the topography, strata, and geology of the tailings dam is obtained, and the monitoring information is integrated to obtain geological data; based on hydrological collection work, the surface water and groundwater hydrological data of the tailings dam are obtained, realizing multi-source acquisition of tailings dam data.

[0081] Embodiment 3:

[0082] Based on Embodiment 1, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion. As Figure 2 shown, in S1, the multi-source data is fused to obtain target tailings dam data, including:

[0083] Perform data standardization on the multi-source data to obtain standard multi-source data;

[0084] Based on the tailings dam body, determine multiple entities, and fuse the standard multi-source data based on the association between the standard multi-source data and the entities to obtain target tailings dam data.

[0085] The beneficial effects of the above design are as follows: By performing data standardization on the multi-source data to obtain standard multi-source data, determining multiple entities based on the tailings dam body, and fusing the standard multi-source data based on the association between the standard multi-source data and the entities to obtain target tailings dam data, it provides a comprehensive and accurate data basis for seismic dynamic stability analysis and dam-break prediction of the tailings dam.

[0086] Embodiment 4:

[0087] Based on Embodiment 1, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion. In S2, determining the static state distribution of the tailings dam before an earthquake based on the target tailings dam data includes:

[0088] Establish a three-dimensional simulation model of the tailings dam based on the three-dimensional basic data of the tailings dam;

[0089] Obtain finite element analysis model diagrams at multiple preset elevations from the three-dimensional simulation model;

[0090] Obtain the static state distribution of the tailings dam before an earthquake at each preset elevation based on the finite element analysis model diagrams.

[0091] In this embodiment, the multiple preset elevations are, for example, at 5070m, 5081m, 5159m, and 5213m of the tailings dam.

[0092] In this embodiment, the finite element analysis model diagram is the distribution of geological conditions at the elevation.

[0093] The beneficial effects of the above design are as follows: By establishing a three-dimensional simulation model of the tailings dam based on the three-dimensional basic data of the tailings dam, obtaining finite element analysis model diagrams at multiple preset elevations from the three-dimensional simulation model, and obtaining the static state distribution of the tailings dam before an earthquake at each preset elevation based on the finite element analysis model diagrams, the analysis of the situation of the tailings dam before an earthquake is realized.

[0094] Embodiment 5:

[0095] Based on Embodiment 4, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion. Obtaining finite element analysis model diagrams at multiple preset elevations from the three-dimensional simulation model includes:

[0096] Determine a reference plane from the three-dimensional simulation model, and obtain a plane display diagram of the preset elevation with the reference plane as the standard;

[0097] Perform color marking on the plane display diagram based on the material type to obtain a finite element analysis model diagram.

[0098] The beneficial effects of the above design are as follows: By determining a reference plane from the three-dimensional simulation model, obtaining a plane display diagram of the preset elevation with the reference plane as the standard, and performing color marking on the plane display diagram based on the material type to obtain a finite element analysis model diagram, a basis is provided for determining the static state distribution of the tailings dam before an earthquake at each preset elevation.

[0099] Embodiment 6:

[0100] Based on Embodiment 4, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion. Based on the finite element analysis model diagram, the static state distribution of the tailings dam before an earthquake at each preset elevation is obtained, including:

[0101] Determine the force characteristics, deformation characteristics, and material characteristics of each geometric element from the finite element analysis model diagram, and determine the displacement constraints and force conditions of the geometric element based on the force characteristics, deformation characteristics, and material characteristics;

[0102] Based on the force characteristics, deformation characteristics, and material characteristics, combined with the displacement constraints and force conditions, input them into the pre-determined calculation models of effective principal stress, displacement and stress level, and shear stress and maximum shear strain increment to obtain the initial static state values of each geometric element;

[0103] Based on the position association and state association between all geometric elements, determine the merging rules for all geometric elements, and merge the geometric elements according to the merging rules to obtain multiple types of regions;

[0104] Based on the type characteristics of the type of region, determine the processing method for the initial static state values, and process the initial static state values of the geometric elements in each type of region according to the processing method to obtain the regional static state values of the type of region;

[0105] Based on the regional static state values of the type of region, establish an equivalent cloud map of the tailings dam before an earthquake at each preset elevation, and determine the static state distribution of the tailings dam before an earthquake at each preset elevation based on the equivalent cloud map.

[0106] In this embodiment, the processing method for the initial static state values is, for example, averaging, taking the median, mode, etc., which is determined according to the characteristics of the type of region. The type of region with a unified geological form is taken as one type of region.

[0107] The beneficial effects of the above design solution are as follows: By determining the force characteristics, deformation characteristics, and material characteristics of each geometric unit from the finite element analysis model diagram, the displacement constraints and force conditions of the geometric unit are determined based on the force characteristics, deformation characteristics, and material characteristics; Based on the force characteristics, deformation characteristics, and material characteristics, combined with the displacement constraints and force conditions, the calculation models of the effective principal stress, displacement and stress level, and shear stress and maximum shear strain increment determined in advance are input to obtain the initial static state values of each geometric unit; Based on the position correlation and state correlation between all geometric units, the merging rules for all geometric units are determined, and the geometric units are merged according to the merging rules to obtain multiple types of regions; Based on the type characteristics of the type regions, the processing method for the initial static state values is determined, and the initial static state values of the geometric units in each type region are processed according to the processing method to obtain the regional static state values of the type regions; Based on the regional static state values of the type regions, an equivalent cloud map of the tailings dam before the earthquake at each preset elevation is established, and based on the equivalent cloud map, the static state distribution of the tailings dam before the earthquake at each preset elevation is determined, realizing the analysis of the situation of the tailings dam before the earthquake and providing a basis for the selection and simulation of earthquake parameters.

[0108] Embodiment 7:

[0109] Based on Embodiment 1, the embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion, as Figure 3 shown. In S3, the design earthquake parameters are used to perform seismic simulation under the static state distribution to determine the liquefaction parameters and deformation parameters of the tailings dam under the earthquake parameters, including:

[0110] Based on the target tailings dam data, determine the earthquake parameters;

[0111] Based on the seismic simulation model, perform seismic simulation of the tailings dam under the static state distribution according to the earthquake parameters to obtain simulation result data;

[0112] Based on the simulation result data, determine the liquefaction parameters and deformation parameters of the tailings dam.

[0113] The beneficial effects of the above design solution are as follows: By determining the earthquake parameters based on the target tailings dam data, performing seismic simulation of the tailings dam under the static state distribution according to the earthquake parameters based on the seismic simulation model to obtain simulation result data, and determining the liquefaction parameters and deformation parameters of the tailings dam based on the simulation result data, the analysis of the dynamic characteristics of the tailings dam during the earthquake is realized, providing a basis for the seismic dynamic stability analysis and dam-break prediction of the tailings dam.

[0114] Embodiment 8:

[0115] Based on Example 7, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of tailing dams with multi-source data fusion. Determining seismic parameters based on the target tailing dam data includes:

[0116] Obtain historical earthquake waves and historical earthquake region characteristics that actually occurred from the earthquake database;

[0117] Based on the matching between the target tailing dam data and the historical earthquake region characteristics, obtain the target historical earthquake wave with the highest matching degree;

[0118] Obtain the vertical acceleration response spectrum and horizontal acceleration response spectrum of the target historical earthquake wave;

[0119] Based on the target tailing dam data, design a target acceleration response spectrum that meets the tailing dam. Based on the target acceleration response spectrum, adjust the vertical acceleration response spectrum and horizontal acceleration response spectrum to obtain a target vertical response spectrum and a target horizontal response spectrum;

[0120] Based on the target vertical response spectrum and target horizontal response spectrum, adjust the target historical earthquake wave to obtain an initial earthquake wave, and determine the peak ground motion, spectral characteristics of ground motion, and duration of ground motion of the initial earthquake wave;

[0121] Based on the target tailing dam data, predict the dominant period and seismic intensity when the initial earthquake wave propagates in the tailing dam, and determine whether the dominant period and seismic intensity meet the preset requirements for seismic dynamic stability of the tailing dam;

[0122] If so, use the initial earthquake wave as the target earthquake wave;

[0123] Otherwise, based on the preset requirements, adjust the peak ground motion, spectral characteristics of ground motion, and duration of ground motion, and obtain the target earthquake wave according to the adjustment results;

[0124] Determine seismic parameters based on the target earthquake wave.

[0125] The beneficial effects of the above design are as follows: By obtaining historical earthquake waves that actually occurred from the earthquake database, selecting and adjusting earthquake waves in combination with the target tailing dam data, designing a target acceleration response spectrum that meets the tailing dam based on the target tailing dam data, and predicting the dominant period and seismic intensity when the initial earthquake wave propagates in the tailing dam using the target tailing dam data as evaluation indicators for earthquake waves, and adjusting the earthquake waves multiple times, finally obtaining the target earthquake wave to determine seismic parameters, ensuring a high adaptability between the finally designed earthquake wave parameters and the tailing dam, and providing accurate seismic parameters for the simulation of seismic dynamic stability analysis and dam-break prediction of the mine dam.

[0126] Example 9:

[0127] Based on Example 7, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion. Based on the simulation result data, the liquefaction parameters and deformation parameters of the tailings dam are determined, including:

[0128] The dynamic stress curve, cyclic shear strength curve and deformation distribution map of the tailings dam under seismic parameters based on the simulation result data;

[0129] Determine the liquefaction parameters of the tailings dam based on the dynamic stress curve and the cyclic shear strength curve;

[0130] Determine the deformation parameters of the tailings dam based on the dynamic stress curve and the deformation distribution map.

[0131] The beneficial effects of the above design are as follows: Through the dynamic stress curve, cyclic shear strength curve and deformation distribution map of the tailings dam under seismic parameters based on the simulation result data, determine the liquefaction parameters of the tailings dam based on the dynamic stress curve and the cyclic shear strength curve, and determine the deformation parameters of the tailings dam based on the dynamic stress curve and the deformation distribution map, realizing the analysis of the dynamic characteristics of the tailings dam during an earthquake, and providing a basis for the seismic dynamic stability analysis and dam-break prediction of the tailings dam.

[0132] Example 10:

[0133] Based on Example 1, an embodiment of the present invention provides a method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion. In S4, based on the liquefaction parameters and deformation parameters of the tailings dam, the dynamic stability and dam-break prediction value of the tailings dam are determined, including:

[0134] Obtain the liquefaction parameters and deformation parameters of the tailings dam at different preset elevations, compare the liquefaction parameters and deformation parameters of the tailings dam with the preset dynamic stability parameters, and determine whether the liquefaction parameters and deformation parameters of the tailings dam meet the preset dynamic stability parameters;

[0135] If so, determine that the dynamic stability of the tailings dam at the preset elevation meets the requirements;

[0136] Otherwise, determine that the dynamic stability of the tailings dam at the preset elevation does not meet the requirements;

[0137] When the dynamic stability of the tailings dam meets the requirements at all preset elevations, determine that the dynamic stability of the tailings dam is within the stable range, and the dam-break prediction value is 0;

[0138] When there is a preset elevation at which the dynamic stability of the tailings dam does not meet the requirements, determine the dynamic stability and dam-break prediction value of the tailings dam based on the specific characteristics of the dynamic stability of the tailings dam at the preset elevation where the requirements are not met.

[0139] The beneficial effects of the above design scheme are as follows: By obtaining the liquefaction parameters and deformation parameters of the tailings dam at different preset elevations, comparing the liquefaction parameters and deformation parameters of the tailings dam with the preset dynamic stability parameters, and determining whether the liquefaction parameters and deformation parameters of the tailings dam meet the preset dynamic stability parameters; if so, it is determined that the dynamic stability of the tailings dam at the preset elevation meets the requirements, otherwise, it is determined that the dynamic stability of the tailings dam at the preset elevation does not meet the requirements. When the dynamic stability of the tailings dam meets the requirements at all preset elevations, it is determined that the dynamic stability of the tailings dam is within the stable range and the dam-break prediction value is 0. When there is a preset elevation at which the dynamic stability of the tailings dam does not meet the requirements, the dynamic stability and dam-break prediction value of the tailings dam are determined based on the specific characteristics of the dynamic stability of the tailings dam at the preset elevation that does not meet the requirements, realizing the stability analysis at different elevations, conducting a neutralization analysis from different elevations, ensuring the accuracy of the seismic dynamic stability analysis and dam-break prediction of the tailings dam, and providing effective information for the safety protection of the tailings dam.

[0140] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of this application document and its equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion, characterized in that Including: S1: Collect the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam site to obtain multi-source data, and fuse the multi-source data to obtain target tailings dam data; S2: Determine the static state distribution of the tailings dam before an earthquake based on the target tailings dam data; S3: Design earthquake parameters to conduct earthquake simulations under the static state distribution, and determine the liquefaction parameters and deformation parameters of the tailings dam under the earthquake parameters; S4: Determine the dynamic stability of the tailings dam and the dam-break prediction value based on the liquefaction parameters and deformation parameters of the tailings dam.

2. The method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion according to claim 1, characterized in that, In the above S1, collecting the surrounding environment, meteorological data, geological data, and hydrological data of the tailings dam site includes: Collect the residential, enterprise production, transportation construction, and production and living information around the tailings dam site to obtain the surrounding environment of the site; Collect the meteorological data of the tailings dam within a preset future time period based on a meteorological station; Obtain the monitoring information of the topography, strata, and geology of the tailings dam based on geological collection work, and integrate the monitoring information to obtain geological data; Obtain the hydrological data of the surface water and groundwater of the tailings dam based on hydrological collection work.

3. A method for seismic dynamic stability analysis and dam-break prediction of a tailings dam with multi-source data fusion according to claim 1, characterized in that, In the above S1, fusing the multi-source data to obtain target tailings dam data includes: Standardize the multi-source data to obtain standardized multi-source data; Based on the tailings reservoir dam body, determine multiple entities, and fuse the standardized multi-source data based on the association between the standardized multi-source data and the entities to obtain target tailings dam data.

4. A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion according to claim 1, characterized in that, In the above S2, determining the static state distribution of the tailings dam before an earthquake based on the target tailings dam data includes: Establish a three-dimensional simulation model of the tailings dam based on the three-dimensional basic data of the tailings dam; Obtain finite element analysis model diagrams at multiple preset elevations from the three-dimensional simulation model; Obtain the static state distribution of the tailings dam before an earthquake at each preset elevation based on the finite element analysis model diagrams.

5. A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion according to claim 4, characterized in that, Obtaining finite element analysis model diagrams at multiple preset elevations from the three-dimensional simulation model includes: Determine a reference plane from the three-dimensional simulation model, and obtain a plane display diagram of the preset elevation with the reference plane as the standard; Color-mark the plane display diagram based on the material type to obtain a finite element analysis model diagram.

6. A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion according to claim 4, characterized in that Obtaining the static state distribution of the tailings dam before an earthquake at each preset elevation based on the finite element analysis model diagrams includes: Determine the force characteristics, deformation characteristics, and material characteristics of each geometric unit from the finite element analysis model diagram, and determine the displacement constraints and force conditions of the geometric unit based on the force characteristics, deformation characteristics, and material characteristics; Based on the force characteristics, deformation characteristics, and material characteristics, combined with the displacement constraints and force conditions, input them into a pre-determined calculation model of effective principal stress, displacement and stress level, and shear stress and maximum shear strain increment to obtain the initial static state value of each geometric unit; Based on the position association and state association between all geometric units, determine the merging rules for all geometric units, and merge the geometric units according to the merging rules to obtain multiple types of regions; Based on the type characteristics of the type regions, determine the processing method for the initial static state values, and process the initial static state values of the geometric units in each type region according to the processing method to obtain the regional static state values of the type regions; Based on the regional static state values of the type regions, establish an equivalent cloud map of the tailings dam before the earthquake at each preset elevation, and determine the static state distribution of the tailings dam before the earthquake at each preset elevation based on the equivalent cloud map.

7. A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion according to claim 1, characterized in that, In S3, perform seismic simulation under the static state distribution with the designed seismic parameters to determine the liquefaction parameters and deformation parameters of the tailings dam under the seismic parameters, including: Based on the target tailings dam data, determine the seismic parameters; Based on the seismic simulation model, perform seismic simulation of the tailings dam under the static state distribution according to the seismic parameters to obtain simulation result data; Based on the simulation result data, determine the liquefaction parameters and deformation parameters of the tailings dam.

8. A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion according to claim 7, characterized in that The determining the seismic parameters based on the target tailings dam data includes: Obtain the historical earthquake waves and historical earthquake region characteristics that actually occurred in history from the earthquake database; Based on the matching between the target tailings dam data and the historical earthquake region characteristics, obtain the target historical earthquake wave with the highest matching degree; Obtain the vertical acceleration response spectrum and horizontal acceleration response spectrum of the target historical earthquake wave; Based on the target tailings dam data, design a target acceleration response spectrum that meets the tailings dam, and adjust the vertical acceleration response spectrum and horizontal acceleration response spectrum based on the target acceleration response spectrum to obtain a target vertical response spectrum and a target horizontal response spectrum; Based on the target vertical response spectrum and target horizontal response spectrum, adjust the target historical earthquake wave to obtain an initial earthquake wave, and determine the peak ground motion, spectral characteristics of the ground motion, and duration of the ground motion of the initial earthquake wave; Based on the target tailings dam data, predict the dominant period and seismic intensity when the initial earthquake wave propagates in the tailings dam, and determine whether the dominant period and seismic intensity meet the preset requirements for the seismic dynamic stability of the tailings dam; If so, use the initial earthquake wave as the target earthquake wave; Otherwise, adjust the peak ground motion, spectral characteristics of the ground motion, and duration of the ground motion based on the preset requirements, and obtain the target earthquake wave according to the adjustment results; Based on the target earthquake wave, determine the seismic parameters.

9. The method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion according to claim 7, characterized in that, Based on the simulation result data, determine the liquefaction parameters and deformation parameters of the tailings dam, including: The dynamic stress curve, cyclic shear strength curve, and deformation distribution map of the tailings dam under the seismic parameters based on the simulation result data; Based on the dynamic stress curve and cyclic shear strength curve, determine the liquefaction parameters of the tailings dam; Based on the dynamic stress curve and deformation distribution map, determine the deformation parameters of the tailings dam.

10. A method for seismic dynamic stability analysis and dam-break prediction of tailings dams with multi-source data fusion according to claim 1, characterized in that, In S4, based on the liquefaction parameters and deformation parameters of the tailings dam, determine the dynamic stability and dam-break prediction value of the tailings dam, including: Obtain the liquefaction parameters and deformation parameters of the tailings dam at different preset elevations, compare the liquefaction parameters and deformation parameters of the tailings dam with the preset dynamic stability parameters, and determine whether the liquefaction parameters and deformation parameters of the tailings dam meet the preset dynamic stability parameters; If so, determine that the dynamic stability of the tailings dam meets the requirements at the preset elevation; Otherwise, determine that the dynamic stability of the tailings dam does not meet the requirements at the preset elevation; When the dynamic stability of the tailings dam meets the requirements at all preset elevations, determine that the dynamic stability of the tailings dam is within the stable range and the dam-break prediction value is 0; When there is a preset elevation at which the dynamic stability of the tailings dam does not meet the requirements, determine the dynamic stability of the tailings dam and the dam-break prediction value based on the specific characteristics of the dynamic stability of the tailings dam at the preset elevation where the requirements are not met.

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