48 results about "Soil dynamics" patented technology

The invention relates to the technical field of soil monitoring and data analysis, and discloses a soil carbon and nitrogen content dynamic prediction method based on deep learning. The method comprises the following steps: acquiring soil monitoring data from an environment monitoring platform, performing dimension reduction by using a multi-layer perceptron model to obtain core features, and dividing a dynamic monitoring data set according to the core features; taking the data set as input, and constructing an initial prediction model by using a time convolutional network; and constructing a meteorological factor library and an influence map, replacing an initial model time node, and obtaining a climatic factor node prediction model through cross validation. And performing regression fitting and cross validation verification by using a Gaussian process, and constructing a soil dynamic prediction model. According to the method, through multi-step data processing and model construction, the influence of soil data characteristics and meteorological factors is effectively mined, the dynamic change of the soil carbon and nitrogen content can be accurately predicted, and powerful support is provided for the fields of precision agriculture, environmental protection and the like.

The invention discloses a multivariate monitoring data fusion method and system for a slope tunnel model test, particularly relates to the technical field of geotechnical engineering physical model test, and aims to solve the problem that dynamic stress waves in an existing model test integrating static and dynamic measurement cause static monitoring signal distortion and further influence the model state evaluation accuracy. Coupling interference in static signals is identified by synchronously collecting dynamic excitation and static response signals; obtaining signal samples before and after a model state sudden change event to perform frequency domain comparative analysis, identifying characteristic frequency components related to sudden change, and evaluating a coupling interference dominant frequency band; separating an effective static response component from the original static signal based on the frequency band; and finally, fusing the effective component with a soil dynamic parameter derived from dynamic excitation to generate comprehensive stability evaluation data. Dynamic interference is effectively suppressed, the authenticity of static signals is improved, and the reliability of model stability state evaluation is improved.

The invention discloses a layered foundation construction optimization method based on dynamic loading and intelligent inversion, and relates to the technical field of intelligent geotechnical engineering. In order to solve the problem that comprehensive analysis and optimization design of multiple layers of soil bodies are difficult to carry out in the prior art, the invention provides the following technical scheme: the layered foundation construction optimization method based on dynamic loading and intelligent inversion is characterized by comprising the following steps: S1, applying a dynamic load on a known layer of soil body; s2, acquiring response data, including acceleration, displacement and stress, of the soil body under the action of the dynamic load through a sensor; s3, deducing the dynamic response of the lower-layer soil body by using an inversion algorithm based on the acquired response data; s4, analyzing dynamic response characteristics of each layer of soil body; and S5, optimizing the compactness and the elastic modulus of the soil layer. The method can improve the accuracy and efficiency of soil dynamic response analysis, is suitable for mechanical property optimization in complex foundation engineering, and has wide engineering application value.

The invention provides a simulation analysis method and system for tunnel structure response under the action of multi-source power. The simulation analysis method comprises the following steps: S1, constructing a numerical solution system for coupling load analysis; s2, constructing a track-tunnel-soil body implicit dynamic analysis finite element model based on the numerical solution system, and forming a structure-soil body dynamic coupling system; s3, setting a plurality of types of working conditions according to preset requirements, wherein the working conditions comprise actual measurement and simulation scenes of a vehicle body and an earthquake; s4, analyzing a structure response result to obtain a response rule under the action of multi-source power; a track-tunnel-soil body three-dimensional finite element implicit dynamic analysis model is constructed, key technologies such as static-dynamic ground stress balance conversion, viscoelastic artificial boundaries, seismic oscillation equivalent node force input and train vibration function loading are comprehensively adopted, and a reliable simulation system of tunnel structure response under the multi-source dynamic effect is established.

The invention discloses a vegetation and soil coupling effect evaluation method and system based on big data, and the method comprises the steps: collecting experiment data and monitoring data of a preset region, and carrying out the preprocessing of the experiment data and the monitoring data; performing multi-dimensional coupling correlation feature extraction on the experimental data and the monitoring data to obtain a coupling feature set, and performing space-air-ground collaborative coupling evaluation on the monitoring data through the coupling feature set to obtain an original coupling degree; performing disturbance evaluation on the soil data according to a soil dynamic adjustment decision to obtain a disturbance coupling degree, and performing coupling mechanism decomposition based on deep learning according to the original coupling degree and the disturbance coupling degree to obtain a coupling difference mechanism; and constructing a vegetation and soil coupling effect evaluation model according to the disturbance coupling effect and the coupling difference mechanism, inputting to-be-evaluated data into the vegetation and soil coupling effect evaluation model, and outputting an evaluation result.

The invention discloses a pile-soil coupling loss prediction method based on soil layer quantification and a neural network. The method comprises the following steps: firstly, through parameterized finite element-infinite element coupling numerical simulation, extracting a pile-soil coupling loss quantitative index-transfer function amplitude ratio; converting the multi-layer soil body distribution information into standardized soil layer distribution characteristic parameters through a normalized coordinate system; then, a neural network model is constructed, pile body parameters, load parameters, characteristic frequency points and soil layer distribution characteristic parameters serve as input, and a transfer function amplitude ratio serves as an output target for training; and finally, rapid and accurate prediction of the pile-soil coupling loss is realized through the trained model. According to the method, effective quantification of complex soil layer space distribution is innovatively realized, and the problems of insufficient precision and low efficiency of a traditional method in pile-soil dynamic coupling loss prediction are solved.

The invention belongs to the technical field of ground source heat operation management, and particularly discloses an intelligent operation management system for geothermal energy in a severe cold area. The system comprises an acquired data verification module, a soil dynamic analysis module, a thermal imbalance risk prediction module and a control priority determination module. According to the method, geothermal operation data are collected and verified in real time, key indexes such as heating power, soil accumulated heat taking capacity and heat recovery rate are calculated, meteorological prediction data are combined to drive a soil heat transfer model to conduct prospective simulation, and a heat imbalance risk index is output. And the control priority of the heat supply quality and the soil heat imbalance is dynamically determined and output based on the risk index and the change trend thereof, so that the heat recovery capability of the soil is effectively maintained while the heat supply requirement is met, and meanwhile, the priority management direction between the heat supply quality guarantee and the soil heat imbalance prevention and control is defined; and therefore, effective balance is realized between maintaining the heating demand of the user and protecting the sustainability of terrestrial heat.

This application discloses a method, apparatus, device, and storage medium for predicting the dynamic strength of lightweight soil using bubble-based methods. The method includes: determining lightweight soil sample information; inputting the lightweight soil sample information into a preset dynamic strength prediction model; and performing dynamic strength prediction processing on the lightweight soil sample information based on the dynamic strength prediction model to obtain lightweight soil dynamic strength data. The dynamic strength prediction model is trained using a preset number of dynamic strength corrosion resistance coefficient prediction formulas under different environmental factors. This application relates to the field of concrete strength prediction technology. By using a dynamic strength prediction model trained with a preset number of dynamic strength corrosion resistance coefficient prediction formulas under different environmental factors to predict the dynamic strength of lightweight soil samples, the accuracy of the dynamic strength prediction data for lightweight soil samples is improved by considering different environmental factors.

The invention discloses a method for optimizing the safe distance between a gas pipeline and a subway based on numerical simulation, which relates to the field of subway tunnel safety technology, including: simulating gas pipeline explosion data through a KFX Exsim gas explosion model; establishing a fluid-solid coupling model, a soil dynamics model and a thermodynamic coupling model, and coupling the three to obtain a multi-physical field coupling model; based on the multi-physical field coupling model, combining a parallel computing framework to decompose and divide the numerical simulation tasks into regions, and simulating the impact of the gas pipe explosion on the subway; based on the numerical simulation results, evaluating the safety of the tunnel under the action of the explosion load; based on the safety evaluation results, optimizing the safe distance between the gas pipeline and the tunnel; the invention establishes a fluid-solid coupling model, a soil dynamics model and a thermodynamic coupling model, and couples the three to form a multi-physical field coupling model that comprehensively covers the explosion environment, thereby realizing an accurate simulation of the complex behavior of the subway tunnel under the explosion environment.

The invention discloses a covering layer foundation soil dynamic pore pressure-deformation indoor triaxial test method for reflecting an earthquake loading process, and belongs to the field of geotechnical engineering and earthquake engineering. Firstly, a numerical geometric model is created, and soil physical and mechanical parameters are input; secondly, carrying out power time history response analysis, outputting seismic dynamic stress response time histories of soil mass units at different positions and different depths in a numerical simulation result, and converting the seismic dynamic stress response time histories into test control loads; thirdly, carrying out an indoor dynamic test, loading a test control load, and collecting dynamic response data of the soil body under the earthquake action; and finally, on the basis of the dynamic response data, determining dynamic test results of all units of the covering layer by adopting an interpolation method according to stress states and dynamic strain amplitude interpolation, and completing dynamic characteristic analysis. According to the method, excessive simplification and blind test of a traditional test can be avoided, the authenticity and accuracy of the foundation soil dynamic test are remarkably improved, and the method is suitable for accurate evaluation of the dynamic characteristics of the ultra-deep soft covering layer foundation soil.

The invention discloses a paddy wheel mud soil dynamic response analysis method and system based on multi-sensor fusion, and relates to the technical field of agricultural information perception, and the method comprises the steps: collecting mud soil response data from different depths and orientations; processing the mud soil response data based on a multilayer information fusion network model to obtain a high-correlation response feature subset, obtaining a soil physical field excitation sequence under a multilayer coupling boundary condition based on feature subset inversion, and performing multi-time-domain parallel response analysis on a target area; obtaining a stress-pore pressure coupling peak value region in response output and spatial distribution thereof, and constructing a mud soil weak response fingerprint spectrum; and finally, proposing optimization suggestions for the mud wheel path, the operation rhythm and the pressure parameters based on the atlas, and realizing dynamic pre-response evaluation and decision support before the mud wheel operation of the paddy field. The method has the advantages of being high in coupling recognition precision, high in risk perception capability, intelligent in operation parameter regulation and control and the like, and is suitable for an intelligent agricultural equipment system and a precise paddy field management scene.

The invention discloses a soil nonlinear site seismic shear stress determination method, which comprises the following steps of: firstly, constructing a site stratified soil simplified model, and fitting a soil dynamic curve; then, the equal-amplitude cyclic stress of the seismic oscillation waves is vertically incident from the bottom of the site bedrock; constructing a transfer matrix to obtain an amplitude matrix of each soil layer, solving to obtain seismic shear stress of each soil layer, calculating normalized dynamic shear strain of each soil layer by using a time-domain dynamic shear strain component, substituting the normalized dynamic shear strain into a soil dynamic curve, determining new dynamic shear modulus and damping ratio of each soil layer, and calculating the seismic shear stress of each soil layer. Iteration calculation of the new dynamic shear modulus and the damping ratio is repeated, the dynamic shear modulus and the damping ratio output after iteration are called as the equivalent shear modulus and the equivalent damping ratio, and the seismic shear stress of each soil layer of a non-linear field of a soil body is solved when seismic waves are vertically incident, so that a foundation is provided for earth and rockfill dam seismic response research; and reference is provided for site selection of a proposed project, design of a site anti-liquefaction scheme and the like.

The application relates to the technical field of power system risk assessment, and discloses a power tower risk grade evaluation method based on operation condition analysis. The method first investigates the tower distribution and geological environment through a geographic information system, collects meteorological, soil and physical parameters, secondly studies the frost heaving mechanism and establishes a mechanical and response model to deduce the long-term deformation law of the structure, then constructs a deformation early warning system by using a multidimensional sensor network and an intelligent algorithm to realize data cleaning, filtering and automatic alarm, and finally defines a multistage safety risk standard to generate a differentiated operation and maintenance decision scheme based on the monitoring results. The application realizes quantitative analysis of the influence of frost heaving by fusing climate characteristics and soil dynamics mechanism, effectively makes up for the deficiency of artificial inspection in timeliness by combining high-precision real-time monitoring, improves the evaluation accuracy and reliability of power facilities in extremely cold regions, and guarantees the safe and stable operation of the power system in complex geological environments.

The invention provides a slip rate control method and system for lunar rover wheel soil characteristics and electronic equipment, aiming at wheel soil dynamic differences caused by different earth-moon environments, a lunar rover slip rate characteristic curve shows that a lunar rover does not have a so-called'optimal slip rate 'fixed point, so that the longitudinal force of a tire reaches a peak value at the point, and the slip rate of the lunar rover reaches the optimal slip rate. The problem that a conventional ground optimal slip rate control method fails on the lunar surface is solved, a function about the tire load rate and the slip rate is introduced into a four-wheel torque distributor of the lunar rover to serve as a target optimization function, and four-wheel torque is distributed in a coordinated mode on the basis that the longitudinal driving requirement is met. According to the method, the special wheel soil dynamic characteristics of the lunar rover are considered, the tire force is controlled based on the slip rate and the tire load rate, the situation that the wheel slip rate is too large and the tire force is saturated is prevented, and the running dynamic property and safety of the lunar rover are effectively improved.

The application belongs to the technical field of electric digital data processing, and particularly relates to a digital processing system for adaptive depth of a land leveler. The system acquires a tool spindle torque signal sequence and a rack three-axis acceleration signal sequence in real time, extracts a frequency domain feature vector through fast Fourier transform of a sliding window, and inputs a classifier to output a soil dynamics parameter set. The dynamics parameter set is substituted into a state space equation, a torque fluctuation variance minimization and an effective soil breaking volume maximization are taken as double objective functions, a maximum response rate of a hydraulic system and an allowable maximum structural stress are combined to construct a nonlinear programming model. A sequential quadratic programming algorithm is called to iteratively solve and output an optimal loosening depth setting value, which is converted into a hydraulic proportional valve current control sequence through trajectory interpolation. The application suppresses depth control oscillation during operation of soft and hard alternating soil, reduces transient impact load of a transmission system, and balances loosening operation power consumption and soil breaking quality.

The application provides a method for analyzing variation rules of deep filling soil dynamic compaction reinforcement depth and surface wave velocity. The method is as follows: selecting at least four test areas in deep filling soil site, carrying out dynamic compaction construction with different energy levels, the dynamic compaction energy levels include low, medium, high and super high energy levels, and respectively carrying out heavy dynamic penetration test and multi-channel transient surface wave test before and after dynamic compaction of each area; determining the first reinforcement depth H1 and the second reinforcement depth H2 through the dynamic penetration blow count growth rate; and counting the dynamic penetration blow counts and corresponding surface wave velocities before and after dynamic compaction of the same position in different test areas, establishing the relationship curve between the surface wave velocity of the filling soil and the dynamic penetration blow count, and determining the judgment standard of the filling soil density in the site. The application provides reliable theoretical basis and technical guidance for obtaining key mechanical indexes of deep filling soil and reasonably determining the dynamic compaction reinforcement depth, lays a solid foundation for design and construction of similar projects, and has wide application prospect.

The invention relates to the technical field of online monitoring, in particular to an intelligent fill deformation sensing system and method based on hydraulic characteristics of collapsible loess, and the method comprises the steps: evaluating the brittleness of a loess structure based on characteristic data of collapsible loess, and obtaining a brittleness index of the loess structure; constructing a collapsibility risk assessment model, and importing the loess structure brittleness index, hydraulic characteristic data in the fill body and soil dynamic response data in the deformation process of the fill body into the collapsibility risk assessment model to obtain a collapsibility risk index; judging whether to position a water source intrusion point according to the collapse risk index, constructing a water source intrusion positioning model, and tracing the water source intrusion point; and visualizing the collapse risk index and the positioned coordinates of the water source invasion point to a fill early warning platform in real time. The problems that in the prior art, only the deformation consequence can be passively dealt with, an early predictive intervention strategy is lacked, and early quantitative early warning and deformation intervention of the collapse risk cannot be achieved are solved.

The application discloses a paddy field wheel mud soil dynamic response analysis method and system based on multi-sensor fusion, relates to the technical field of agricultural information perception, and collects mud soil response data from different depths and directions; high correlation response feature subsets are obtained by processing mud soil response data based on a multi-layer information fusion network model, a soil physical field excitation sequence under multi-layer coupled boundary conditions is obtained by inversion based on the feature subsets, multi-time domain parallel response analysis is carried out on a target region; a stress-pore pressure coupling peak value region and its spatial distribution in response output are obtained, and a mud soil weak response fingerprint spectrum is constructed; finally, optimization suggestions are proposed for wheel mud paths, operation rhythms and pressure parameters based on the spectrum, dynamic pre-response evaluation and decision support before paddy field wheel mud operation are realized; the method has the advantages of high coupling identification precision, strong risk perception capability and intelligent operation parameter regulation, and is suitable for intelligent agricultural equipment systems and precise paddy field management scenes.

The application provides a rockfill dam seismic response randomness analysis method based on a test database, and belongs to the technical field of hydraulic engineering. First, a coarse-grained soil dynamic property database Geo-Gravel is constructed, and a deep learning model based on given physical parameters to generate corresponding dynamic parameters is trained; second, a finite element model and a material parameter random field are constructed, and the material parameter random field is assigned to the finite element model; third, the dam body dynamic response is obtained through calculation by using a finite element software; finally, the extreme values of the displacement and acceleration of the dam body dynamic response and the probability distribution thereof are counted, and the statistical results are analyzed to quantify the influence of the material physical parameter randomness on the dam body dynamic response. The application can effectively reduce the test cost, truly reflect the spatial variation characteristics of the rockfill material, and show through the probability distribution analysis that the parameter randomness significantly influences the dynamic response result, and the dispersion degree and the variation coefficient are positively correlated, thereby providing a reliable basis for seismic design.

The invention discloses a method and system for simulating a submarine landslide problem based on double-layer double-phase non-local generalized particle dynamics, and belongs to the technical field of simulation calculation, and the method comprises the steps: dividing a submarine landslide calculation model into a fluid layer and a soil body layer, and respectively generating fluid material points and soil body material points; solving a fluid mass conservation equation by considering the relative speed between fluid substance points and soil substance points; calculating the nonlinear drag force between the fluid and the soil body; solving a motion equation of fluid substance points and soil substance points; updating respective substance information of the fluid substance points and the soil substance points, and applying boundary conditions; and obtaining a simulation analysis result of the submarine landslide calculation model based on the updated material information. A numerical framework is provided for researching the water-soil dynamic coupling problem of the submarine landslide, and more effective protection measures can be designed by simulating the interaction between soil and fluid, so that the influence of the submarine landslide on submarine foundations such as oil and gas pipelines and cables is reduced.

The application belongs to the technical field of ground source heat operation management, and specifically discloses an intelligent operation management system for geothermal energy in severe cold regions. The system comprises a data acquisition and verification module, a soil dynamic analysis module, a thermal imbalance risk prediction module and a control priority determination module. The application collects and verifies geothermal operation data in real time, calculates key indicators such as heating power, cumulative soil heat extraction and heat recovery rate, drives a soil heat transfer model in combination with meteorological prediction data to perform forward-looking simulation, and outputs a thermal imbalance risk index. Based on the risk index and its change trend, the control priority of heating quality and soil thermal imbalance is dynamically determined and output, so that the soil heat recovery capacity is effectively maintained while meeting the heating demand, and the priority management direction between the heating quality guarantee and the soil thermal imbalance prevention and control is clarified, thereby achieving effective balance between maintaining user heating demand and protecting geothermal sustainability.

The present invention relates to the technical field of civil engineering, and particularly relates to a method for simulating the dynamic response between piles and soil, including: obtaining the soil parameters, pile body parameters, and construction parameters of the target engineering site; establishing a generalized model of the pile-soil dynamic system according to a preset similarity ratio, and respectively determining the soil parameters of the sandy soil layer, the pile body parameters of the simulated pile, the first dynamic loading parameters and the second dynamic loading parameters of the loading system; preparing a pile-soil system according to the soil parameters of the sandy soil layer and the pile body parameters of the simulated pile, controlling the pile-soil system to perform vibrating pile driving and vibrating pile extraction based on the first dynamic loading parameters and the second dynamic loading parameters, monitoring the test data during the vibrating pile driving and vibrating pile extraction processes, and analyzing to obtain the simulation analysis results of the dynamic response between piles and soil. Thereby, the problems of cumbersome work, high cost, and difficulty in accurately depicting the research on the dynamic response law between piles and soil are solved, and the dynamic response law between piles and soil under different conditions can be simulated efficiently and accurately.

The application discloses a kind of in-situ dynamic test bench of ground soil vibration subsidence and test method thereof, including vibration table system and sensor in ground soil, water injection trench around ground soil.In-situ test site is vibrated by vibration table to the underlying ground soil body and applies horizontal vibration load, and the dynamic response of ground soil is measured by sensor buried in different positions, reflecting the vibration subsidence deformation of soil body.At present, soil vibration subsidence test includes dynamic simple shear, dynamic triaxial, dynamic torsional shear indoor test method, but there is no mature method for in-situ vibration subsidence test of ground soil.Through the vibration effect of in-situ soil column by vibrator, a method for testing the dynamic response and vibration subsidence deformation of ground soil is proposed, filling the soil dynamics test method.The acceleration response and vibration subsidence deformation of ground soil under in-situ conditions are determined by the application, which has good practical significance for disaster prevention.

The present invention relates to the technical field of waste dump simulation test, and specifically to an in-situ test device and method for waste dump rock and soil destruction, wherein the in-situ test device for waste dump rock and soil destruction comprises a test bench, a rock and soil box and at least one test vibration seat, the test bench comprises a table body, a sliding plate and a transmission assembly, the sliding plate and the transmission assembly are mounted on the table body, the rock and soil box is detachably mounted on the sliding plate, the transmission assembly is used to drive the sliding plate to move along the length direction of the test bench; and at the same time drive the sliding plate to move periodically along the height direction of the test bench; a drive assembly, the drive assembly is connected to the test vibration seat, the transmission assembly and the spoiler assembly; the problem that the existing technology has a single earthquake vibration loading method and cannot simulate the vibration and sliding coordinated process of the waste dump rock and soil, resulting in a mismatch with the real waste dump rock and soil dynamic coupling mechanism is solved.

The invention discloses a method for determining a dynamic shear modulus ratio curve and a damping ratio curve of a soil body under different strain amplitudes, and relates to the technical field of indoor soil body dynamic characteristic testing. Comprising the following steps: acquiring a soil sample of an engineering site, dividing experimental points according to a strain interval, respectively carrying out an indoor resonant column experiment and a dynamic triaxial experiment, obtaining dynamic shear moduli and damping ratios of the experimental points through the resonant column experiment, and obtaining hysteretic curves of the experimental points through the dynamic triaxial experiment. Performing shape regularity index and positive and negative loading path stress-strain curve coincidence degree evaluation on the hysteretic curve of each experimental point, performing classified calculation to obtain the damping ratio of the experimental point, obtaining the dynamic shear modulus of the experimental point based on the stress-strain curve, setting a dynamic shear modulus ratio prediction function and a damping ratio prediction function, and calculating the dynamic shear modulus of the experimental point. And determining a shear modulus ratio curve and a damping ratio curve by combining the data of the resonant column experiment and the dynamic triaxial experiment. Different types of damping ratio calculation formulas are matched according to the evaluation result, and accurate calculation of the damping ratio is achieved.

GeoSoilX is a handheld soil sensor device that integrates 10 soil quality parameters in one Internet of Things (IoT)-based unit with the support of artificial intelligence processing at the device level (Edge AI) for automatic and real-time measurements in the field. The ten parameters include Nitrogen, Phosphorus, Potassium, moisture, pH, electrical conductivity, temperature, salinity, soil color, and soil compaction level. Existing soil diagnostic systems still rely on the use of separate tools, non-uniform data acquisition processes, and do not have a centralized soil data history to monitor long-term soil dynamics, thereby reducing efficiency, data consistency, and the accuracy of soil management decisions. The GeoSoilX invention was developed to overcome these limitations through ten-in-one measurements using a single handheld device that produces more consistent data output across time and measurement locations.This device is connected to a mobile phone application and a web platform as a user interface to display measurement results and manage historical data storage centrally in a data center. Centralized storage enables continuous monitoring of soil conditions and tracking of soil condition records as a basis for data-driven decision-making in precision agriculture and plantation ecosystems, particularly to support site- and commodity-specific soil and crop management and the implementation of adaptive and sustainable nutrient intervention management.

The present invention discloses a method for calculating the dynamic residual deformation of saturated soil and an implementation method thereof; it relates to the field of dynamic characteristics of geotechnical engineering, and the calculation method comprises: S1, establishing a calculation model for the dynamic residual deformation of saturated soil; S2, obtaining existing original test data; S3, processing the test data to obtain fitting data; S4, training and fitting the calculation model to obtain a trained calculation model; S5, calculating the dynamic residual deformation of saturated soil according to the calculation model; the implementation method comprises: S1, establishing a worksheet in Excel; S2, inputting the calculation model for the dynamic residual deformation of saturated soil; S3, calculating the parameters of the sample after consolidation, the axial dynamic stress and axial dynamic strain; S4. Filter the data in step S3 and output them to the data processing worksheet; S5. In the data processing worksheet, calculate the residual shear strain and residual volume strain; S6. Use the regression analysis calculation formula to calculate the model parameters and the determination coefficient R to obtain the calculation model; S7. Use the calculation model to calculate the dynamic residual deformation of saturated soil; This application first improves the original saturated soil dynamic residual deformation calculation model, and then uses a large amount of data to fit the model so that the model conforms to the data obtained from the actual experiment. The model can be used to measure the relationship between the vibration cycle of the soil and the dynamic residual deformation.

The invention relates to the field of geological exploration, in particular to a self-excited seismic wave static sounding testing device. Comprising a seismic wave self-excitation probe rod, a pore pressure static sounding conical probe and ground test analysis equipment, a seismic wave exciter is arranged in the seismic wave self-excitation probe rod; the upper part and the lower part of the pore pressure static sounding conical probe are respectively provided with a group of three-way detectors; and the three-way detector and the seismic wave exciter are electrically connected with the ground test analysis equipment. According to the invention, seismic wave self-excitation can be carried out, and seismic wave data can be tested while drilling in real time. Meanwhile, other sensors are combined, the small strain shear deformation characteristic and the soil dynamic property of the soil body are comprehensively evaluated, and more accurate, efficient and comprehensive data reference and performance evaluation basis are provided for geotechnical engineering investigation and soil body characteristic research.

The utility model discloses a novel fluidized soil dynamic fluidity testing device, which belongs to the field of civil engineering and comprises a support iron stand, a slurry cleaner, a transparent glass plate and a cylinder. The supporting iron frame comprises four vertical rods, four cross rods and a bottom plate, checks with the same size are engraved on the surface of the bottom plate, and the slurry cleaner comprises a push rod and an annular scraper. According to the utility model, the transparent glass plate at the bottom of the cylinder is rapidly drawn out at the test height, so that fluidized soil in the cylinder freely falls on the bottom plate, and the corresponding area is converted according to the number of grids occupied by the fluidized soil on the bottom plate, thereby obtaining the dynamic fluidity of the fluidized soil. The testing device disclosed by the utility model is simple in structure, convenient to operate and capable of simply, conveniently and effectively testing the dynamic fluidity of the fluidized soil.

The utility model discloses an energy-saving water and soil dynamic monitoring device, and relates to the technical field of water and soil monitoring, the device comprises a base plate and a water and soil loss monitor, the top surface of the water and soil loss monitor is fixedly connected with a photovoltaic panel, the outer side of the water and soil loss monitor is fixedly provided with four monitoring probes, and the photovoltaic panel is fixedly connected with the photovoltaic panel. The device further comprises a lifting mechanism, a mounting mechanism and a cleaning mechanism, the lifting mechanism is fixedly connected with the top face of the bottom plate, the mounting mechanism is fixedly connected with the output end of the lifting mechanism, and the cleaning mechanism is fixedly connected with the output end of the lifting mechanism. According to the water and soil loss monitoring device, the lifting mechanism is arranged to adjust the use height of the water and soil loss monitor and the monitoring probe, the mounting mechanism is arranged to realize the overall disassembly and replacement of the water and soil loss monitor, timely overhaul and maintenance are facilitated, the cleaning mechanism is arranged to spray water mist on the surfaces of the photovoltaic panel and the monitoring probe, excessive dust attachment is avoided, and the water and soil loss monitoring device is convenient to use. The service life is prolonged and the economic cost is reduced.