12 results about "Inversion analysis" patented technology

The invention discloses an electric spark source multidirectional detection system and method based on a polarization effect, the system comprises a source drill rod, a capacitance drill rod, a conductive drill rod and a console, discharge electrodes respectively correspond to excitation ports in different orientations, and three space orthogonal excitation ports are formed in this way for time-sharing excitation. Three pure transverse wave sources with known polarization directions are manufactured, so that the detection precision is improved for subsequent inversion analysis; obtaining a three-component seismic trace record data set corresponding to the three seismic sources; processing the data set to obtain three groups of azimuth data; thirdly, defining a model parameter vector and determining a full-waveform inversion function; according to the method, an adjoint state method is adopted to obtain a gradient direction enabling an objective function to descend, an L-BFGS algorithm is utilized to iteratively update model parameters, and finally, an optimal solution is utilized to be combined with three groups of azimuth data to carry out full-waveform inversion, so that azimuth anisotropy information of a detection area is obtained. And the accurate identification of the disaster geologic body in the detection target area is realized by fusing the multidirectional detection data.

The invention discloses a flying gangue dynamic damage characteristic inversion method based on dynamic-static behavior calibration, and relates to the technical field of coal mining. Comprising the following steps: acquiring experimental design parameters and test results of dynamic-static rock mechanical behavior tests, and then constructing a corresponding stope model for a simulation experiment to obtain simulation results; based on the test result and the simulation result, micromechanical parameters of a digital core in the stope model are determined through numerical simulation inversion analysis, and an initial stope model is obtained; based on flying gangue test data, carrying out calibration design on the flying gangue motion effect in the initial stope model, then carrying out a flying gangue motion simulation experiment, and optimizing global control parameters of the stope model according to actual measurement characteristics; and finally, carrying out a simulation experiment on the spatio-temporal evolution process of the flying waste rock movement to determine the flying waste rock dynamic damage characteristics. According to the method, the problem that the intrinsic law of the flying waste rock spatio-temporal evolution process is difficult to actually measure at present is solved, and a reliable way is provided for revealing the intrinsic law of the flying waste rock spatio-temporal evolution.

The invention relates to the technical field of material micro-area mechanical property testing, and discloses a material mechanical constitutive inversion analysis method and device and electronic device.The method comprises the steps that a nanoindentation test is conducted on a to-be-tested material, and an average load-depth curve is obtained; extracting inversion input parameters based on the average load-depth curve; constructing a dimensionless function based on dimensional analysis and a characteristic strain method, fitting the dimensionless function, and establishing a Ludwick constitutive inversion model; and on the basis of the inversion input parameters and the Ludwick constitutive inversion model, the mechanical constitutive parameters are solved, the multiple mechanical constitutive parameters of the material can be directly and uniquely inverted, and the experiment complexity and cost are remarkably reduced while the accuracy and uniqueness of the inversion result are guaranteed.

The invention relates to the technical field of hydraulic engineering dam safety monitoring and maintenance, in particular to a concrete faced rockfill dam extrusion damage predicting and repairing method based on three-dimensional rheological inversion. The method comprises the following steps: firstly, fusing multi-source monitoring data to construct a dam body three-dimensional rheological mechanical model; then, utilizing an intelligent optimization algorithm to drive inversion analysis, automatically determining model parameters, and realizing long-term deformation prediction; based on multiple risk criteria such as stress, displacement and the like, a damaged high-risk area is visually positioned in the model; furthermore, the technical effects of different repair schemes are rehearsed and compared in the digital twinborn model; and finally generating a repair decision report containing the optimal scheme. According to the method, automation and intelligentization of the whole process from data monitoring to decision repair are realized, the objectivity of diagnosis, the accuracy of prediction and the scientificity of decision are greatly improved, and a key technical support is provided for long-term safe operation of the high dam.

This application discloses a method and system for inverting and analyzing borehole fracture stress fields based on the right dihedral method, relating to the fields of geophysics and geological engineering technology. The method includes: batch loading fault data through a GUI interface and converting it to NED direction cosines; using the right dihedral method to divide the fault into compression and tension zones; using a coarse-fine two-stage grid search to determine the optimal principal stress direction and matching rate; searching for the minimum principal stress direction in the vertical plane and calculating the dual stress axis matching rate; finally, outputting the three principal stress directions based on the comprehensive matching probability and generating a stereographic projection map. This application improves data input efficiency through batch loading via a GUI interface; the two-stage grid search algorithm eliminates human error and improves the calculation accuracy of the optimal principal stress direction and matching rate; multiple statistical indicators provide quantitative evaluation, improving the reliability of the inversion results; and the GUI interface's visualization of the inversion results enhances engineering applicability and interactive efficiency.

The application provides a kind of side slope fissure passive source seismic wave imaging method, the patent adopts multi-wave multi-component seismograph, simultaneously gathers multiple seismic wave signals on three components, including surface wave, body wave and the like.This design significantly improves the richness of data, so that in data processing, a variety of seismic wave signals can be comprehensively utilized for inversion analysis.By joint processing and constraint of different wave types, the multi-solution problem in geophysical inversion can be effectively reduced, and the stability and reliability of the results are improved.In addition, the acquisition of multi-component data makes the imaging more comprehensive, especially in the characterization of fissure directionality and geometric features, which has obvious advantages.

The invention discloses a karst disaster source water-rich characteristic multi-field coupling inversion analysis method. The method comprises the following steps: acquiring a tracing penetration curve and a water head change curve of a target area and extracting travel time characteristics; constructing a uniform parameter state vector containing a permeability coefficient, a water storage coefficient and an effective porosity, and establishing a forward model for describing solute transport and an underground water flow process; calculating a sensitivity matrix of the uniform parameter state vector to the observation data based on a forward model, and constructing a joint objective function containing a spatial adaptive regularization item according to the sensitivity matrix; and carrying out iterative solution on the target function by adopting a prediction-correction alternate updating strategy to obtain optimized parameter distribution and delineating a disaster-causing structure position. According to the method, by constructing a multi-physics field synchronous coupling mechanism and a self-adaptive constraint strategy, the problems of error one-way accumulation and physical parameter coupling splitting in traditional serial inversion are solved, and the recognition precision and resolution of the water-rich disaster-caused structure under the complex geological condition are improved.

The invention relates to the technical field of mining area geological exploration, and particularly discloses an inversion analysis method for a concealed structure of a mining area coal face. According to the method, the geophysical exploration anomaly index, the coal mining tunneling anomaly index, the hydrogeological state evaluation index and the gas state evaluation index of each grid unit area of the mining area coal face corresponding to the current monitoring time period are comprehensively analyzed; the hidden structure hidden danger level of each grid unit area of the mining area coal face corresponding to the current monitoring time period is obtained, and corresponding early warning is carried out, so that on one hand, the defects of hidden structure hidden danger early warning analysis of the mining area coal face in the prior art are overcome; and the hidden danger analysis result of the hidden structure of the mining area coal face is more comprehensive and reliable. And on the other hand, the response timeliness of potential safety hazards of the hidden structure of the coal face in the mining area is improved, meanwhile, the probability of accidents caused by the hidden structure is reduced, and reliable guarantee is provided for safe mining of a coal mine.

The application discloses a kind of generalized theory numerical calculation method of the thermal conductivity of multiphase random mixing porous medium, the method includes the following steps: step 1, obtain the porosity of soil sample;Step 2, obtain the thermal conductivity of soil particles;Step 3, obtain the effective thermal conductivity of soil sample and the full state thermal conductivity surface under the porosity of soil sample;Step 4, obtain the volumetric water content and ice content of soil sample.The application innovatively proposes the strategy of using extreme state to calculate the thermal conductivity of soil particles, realizes the double check of parameters, eliminates the calculation error caused by the difference of soil mineral composition, and can obtain the effective thermal conductivity of soil body by calculation using conventional soil parameters.Using the method of the application, the thermal conductivity of soil body can be predicted with high precision only by using easily obtained physical parameters, and online monitoring and inversion analysis can be carried out.This is especially suitable for large-scale engineering projects and soil thermal response prediction, which greatly saves time and economic cost.

The application provides a method for applying a multi-dimension multi-level analysis method to a concrete dam safety monitoring analysis system platform, which comprises the following steps: step 1, classifying different dimensions and different types of monitoring physical quantities obtained by monitoring a reservoir dam by using an SVM classification principle, and judging whether the monitoring physical quantities are gross errors by using a Lade criterion; step 2, performing first layer data analysis on the processed different dimensions and different types of monitoring physical quantities, realizing data compilation, and displaying on the platform; step 3, performing second layer data analysis on the structural analysis and calculation of the dam by combining inversion analysis and using strength theory; step 4, establishing a monitoring model to perform third layer data analysis, and guaranteeing short-term prediction accuracy; and step 5, establishing a medium and long term prediction monitoring model to perform fourth layer data analysis, and guaranteeing long-term prediction accuracy.

The present application relates to the technical field of geological modeling, in particular to a geological modeling construction optimization method suitable for open-pit mine geological disaster exploration. The method comprises the following steps: collecting and integrating geological data and geophysical data, determining reasonable drilling positions by using scientific geological inversion analysis method, combining drilling sampling data to construct ore body model, and using GIS system to construct geological profile map to obtain accurate contour parameters, and then constructing original geological three-dimensional model. At the same time, the Bayesian method is introduced to calculate the probability distribution of stratum, and the original model is labeled and compiled to obtain the final high-precision three-dimensional geological model. The method can effectively overcome the shortcomings of traditional methods, improve the accuracy, reliability and scientificity of geological modeling, and provide more accurate and comprehensive geological information support for the prediction, evaluation and prevention of open-pit mine geological disasters.

The invention discloses an inversion analysis method applied to cell stress research, and relates to the technical field of microfluidics, and the method comprises the following steps: firstly, constructing a multi-stage bidirectional fluid-solid coupling kinetic model of a fluid-droplet-particle system, and realizing iterative analysis from suspension liquid, droplet deformation and droplet content particle stress; secondly, a high-speed microscopic imaging system is used for obtaining dynamic distribution of a flow field in the micro-flow tube, and an experimental observation database is constructed; thirdly, establishing a numerical model, and comparing a simulation result of the numerical model with experimental observation data; and finally, quantizing deviation between numerical simulation and experimental data through an inversion function, optimizing model parameters, and realizing accurate inversion of the size of the cell surface stress in a micro-droplet wrapping state. The method is high in detection precision and good in inversion reliability.