204 results about "Experimental model" patented technology

The invention relates to an experimental data processing method and device, an AI analysis module and computer equipment, and belongs to the field of data processing.The method comprises the steps that multi-dimensional original data are partitioned according to types, and formats are unified; generating a similarity matrix based on time and space neighborhood information, and marking abnormal fluctuation points; effective signals are separated through a time-frequency feature matching noise library; extracting multi-layer features of basic statistics, time sequence correlation and trend change; and dynamically screening core features to update the tracking type experimental model. The matched AI analysis module integrates hardware circuits of data partitioning, similarity calculation, anomaly marking, noise matching, feature extraction and model updating, and whole-process acceleration is achieved. According to the method, through multi-dimensional data compatibility processing, accurate anomaly detection, multilayer feature fusion and model adaptive optimization, the experimental data processing efficiency and conclusion reliability are remarkably improved, and the method is suitable for real-time analysis of multiple scenes such as scientific research and industry.

The invention belongs to the technical field of gas storages, and particularly relates to an experimental method and device for evaluating fault stability under injection-production alternating stress of a gas storage. The method comprises the following steps: acquiring reservoir information of a to-be-detected gas storage; making a three-dimensional model according to the reservoir information, and configuring model parameters according to formation water and natural gas initially injected into the three-dimensional model; an injection-production pipe is inserted into the three-dimensional model, the multi-cycle gas injection-production process is simulated, and fault changes in the three-dimensional model are monitored; and optimizing model parameters of the three-dimensional model according to the fault change condition, and determining optimal model parameters. A fault with any dip angle can be simulated, the experimental model comprises a whole geologic body simulating a gas storage, surrounding rocks including a cover layer and a bottom supporting layer and wrapping the periphery of a reservoir body, the reservoir is disconnected by the fault, the contact relation of the two reservoirs can be designed according to the actual condition of the stratum, and an injection-production well is designed in the model. The injection-production well simulates high-speed injection-production of the gas storage.

An experimental model for simulating seismic soil evolution for a long-span bridge, comprising a vibration table (1), a long-span bridge model (2), damping control devices (3), vibration mechanisms (4), and cooperative control systems (6), wherein the long-span bridge model (2) comprises a plurality of bridge pier bases (21); the damping control devices (3) are fixedly connected between the bridge pier bases (21) and the vibration table (1); the vibration mechanisms (4) cooperatively drive the vibration table (1) to vibrate in the space; each cooperative control system (6) comprises a processor (61), an acceleration sensor (62) and a displacement sensor (63). A test method for dynamic response simulation of the experimental model comprises the following steps: the vibration table simulates an earthquake process, the damping control devices simulate soil evolution or geology of different sites, and the cooperative control systems acquire and collect acceleration and displacement data information of the damping control devices in real time and analyze structural responses of a long-span bridge. The experimental model can simulate seismic responses of a bridge under seismic site effects and non-uniform excitations, and has high authenticity and accuracy, a wide application range and low experimental cost.

The embodiment of the invention provides a slope instability mechanism simulation experiment device under the earthquake and rainfall coupling effect, and relates to the technical field of earthquake simulation equipment. The slope instability mechanism simulation experiment device under the earthquake and rainfall coupling effect comprises a model storage mechanism, a driving transmission mechanism and an adjusting mechanism, the driving transmission mechanism is located at the lower end of the model storage mechanism and enables a model in the model storage mechanism to vibrate, and the adjusting mechanism is located at the lower end of the model storage mechanism and enables the model in the model storage mechanism to vibrate. The adjusting mechanism is located at the lower end of the model storage mechanism and located in the middle of the transmission mechanism, and the transmission mechanism moves upwards and drives the adjusting mechanism to rotate. According to the device, the matching position and state of the cam and the vibration convex plate can be accurately changed, so that the vibration amplitudes of the slope toe, the slope top and the two sides of the slope body of an experimental model are accurately adjusted, the requirements for slope vibration amplitude simulation under different experimental conditions are met, and the influence of the vibration amplitudes on a slope instability mechanism can be deeply researched.

The invention relates to the technical field of mechanical data processing, in particular to a mechanical experiment data pre-processing method based on a mechanical model. The method comprises the following steps: acquiring a mechanical experiment setting condition and a mechanical experiment measurement target, and carrying out mechanical model calibration establishment to obtain a stress-strain experiment mechanical model; carrying out noise point radius circular filtering processing by recording mechanical experiment parameter data in real time, and carrying out interpolation compensation and standardization processing to obtain mechanical experiment parameter standardization data; performing mechanical experiment fitting processing on the stress-strain experiment mechanical model to obtain stress-strain mechanical experiment fitting output prediction data; performing model prediction error analysis on the mechanical experiment parameter data to obtain stress-strain mechanical experiment model prediction error data; and performing error correction optimization on the mechanical experiment parameter data to obtain mechanical experiment parameter error correction data. The method can improve the quality of mechanical data and the reliability of analysis results.

The invention belongs to the technical field of composite material design, and discloses a polyimide-based composite material design method and system based on experiment-machine learning collaborative optimization. The method comprises the following steps: S1, experimental database construction and machine learning performance modeling; S2, machine learning model construction and training; S3, model evaluation and performance index output; and S4, intelligent design of the polyimide-based composite material. The multi-objective performance collaborative optimization design and preparation of the polyimide-based ternary carbon heterostructure composite material are carried out by taking experimental data as a main material and machine learning as an auxiliary material. According to the method, an experiment-model-optimization closed-loop iterative design system is constructed based on an experiment-machine learning collaborative optimization method, the method has the advantages of high prediction precision, high optimization efficiency, good multi-target adaptability and the like, the development efficiency of the polyimide-based composite material is remarkably improved, and the development cost of the polyimide-based composite material is reduced. The method is suitable for intelligent design and large-scale application and popularization of the high-performance heat-conducting electromagnetic shielding material.

The invention relates to the field of seepage analysis, and particularly discloses a loess slope seepage three-dimensional observation device and method under circulating seepage, and the method comprises the steps: constructing a loess seepage slope physical simulation experiment model, collecting an experiment sample image by using an image collection device, and analyzing the attribute parameters of the device to determine whether to adjust the device; preprocessing, bilateral filtering and temperature difference analysis are carried out on the collected experiment image, preprocessing process parameters are monitored, preprocessing precision factors are evaluated according to the parameters, and whether secondary processing is carried out or not and temperature abnormal areas are separated or not is judged; matching a temperature mapping parameter set based on the precision factor, evaluating the mapping accuracy, and correcting as required; finally, an initial three-dimensional temperature field is generated in combination with sensor data, and a permeation path is generated for three-dimensional rendering; according to the method, through multi-step cooperation, three-dimensional observation and analysis of loess slope seepage are achieved, a systematic technical scheme is provided for research of loess slope seepage characteristics, and improvement of the accuracy and the visualization level of slope seepage research is facilitated.

The invention discloses a simulation experiment method for the sound insulation performance of an acoustic metamaterial, and the method comprises the steps: collecting the working environment data and material data of a preset material, and carrying out the preprocessing of the working data and the material data; performing simulation according to the environment data and the material data by adopting a finite element method to obtain a simulation material, and performing grid division on the simulation material to obtain divided grids; performing optimization division on the division grids according to a density threshold value to obtain key division grids, and performing multi-band verification improvement according to the key division grids to obtain performance skewness; and constructing a simulation experiment model of the sound insulation performance of the metamaterial according to the performance skewness, optimizing the simulation experiment model of the sound insulation performance of the metamaterial according to the simulation error, and outputting a simulation model. The method not only can improve the precision of the simulation experiment of the sound insulation performance of the acoustic metamaterial, but also has good interpretability, and can be directly applied to a simulation experiment system of the sound insulation performance of the acoustic metamaterial.

The invention provides a reverse structure and fluid migration integrated experimental device and method.The reverse structure and fluid migration integrated experimental device comprises an experimental box, the experimental box is a rectangular box, and an experimental model for simulating a stratum structure is arranged in the experimental box; the push-pull power mechanism is connected with the experiment box and is used for pushing and pulling the experiment model in the experiment box so as to stretch or extrude the simulated stratum; and the fluid injection mechanism is used for injecting dyeing fluid from the side direction of the experimental model. According to the device and the method, the extrusion structure deformation process can be simulated on the basis of a stretching simulation result of uniform stress transmission, fluid migration simulation is completed under the condition that an elastic polymer used in a stretching simulation experiment is not damaged, and effective combination of reversal structure simulation of stretching first and then extrusion and fluid migration simulation is achieved.

The invention discloses a method for testing the compactness and stress of an anchor rod. The method comprises the following steps: constructing an experimental model for testing the compactness and stress of the anchor rod; performing nondestructive testing on the experimental model by using an anchor rod nondestructive testing system, and calculating the compactness of the anchor rod according to a waveform time-distance graph transmitted by the obtained excitation waves in the anchor rod; carrying out multiple anchor rod drawing experiments and anchor rod nondestructive testing experiments on the experimental model to respectively obtain anchoring surrounding rock body parameters, anchoring quality parameters and anchor rod stress states; and the analysis anchoring force is calculated according to the anchoring surrounding rock parameters and the anchoring quality parameters. According to the method, a nondestructive testing result and a result obtained by an anchor rod drawing force experiment are mutually verified by constructing an experimental model for testing the compactness and the stress of the anchor rod, and a calculation rule of the anchor rod drawing force is summarized, so that mathematical calculation is performed, the working efficiency is improved, and reliable data are provided for tunnels, geotechnical engineering supports and the like.

The invention discloses a composite truss string structure experiment monitoring method based on a composite sensing rib, the composite sensing rib with a self-sensing function is manufactured according to a fiber bragg grating, the composite sensing rib can monitor the stress change of the environment where the composite sensing rib is located in real time, the composite sensing rib is embedded in a center steel wire of a lower chord cable steel strand of a reduced scale experiment model, and the stress change of the environment where the composite sensing rib is located can be monitored in real time. The composite sensing ribs can directly sense stress changes of the truss in different construction stages, the stress changes of the reduced scale experiment model in different construction stages are monitored in real time through the composite sensing ribs, the accuracy and reliability of monitoring data are improved, problems and risks possibly occurring in the construction process can be found in time, and the construction efficiency is improved. According to the monitoring method based on the composite sensing ribs, construction personnel can adjust construction schemes and measures in time, smooth proceeding of the construction process is ensured, in addition, comprehensive monitoring can be achieved only by embedding a small number of sensing ribs into key parts of the composite string truss through the monitoring method based on the composite sensing ribs, and therefore the monitoring cost is reduced.

The invention discloses a power grid intelligent power flow control method based on an improved cuckoo search algorithm. The method comprises the following steps: firstly, constructing a mathematical model of an AC-DC hybrid system, analyzing the characteristics and interaction of each device in the system, and determining a composite function taking the minimization of power generation cost, active loss and generator voltage deviation as targets according to an operation target; and then, decomposing the complex objective function into a plurality of sub-problems through hierarchical processing, and realizing respective solving. In hierarchical calculation, an improved cuckoo algorithm is adopted for optimization in a solution space, and an optimal power flow distribution and control strategy is obtained. And finally, intelligent layered power flow control of the alternating-current and direct-current hybrid system is realized according to an optimization result. According to the invention, the system response speed and the regulation efficiency are obviously improved, and the effect in the aspect of optimized operation is outstanding; compared with the traditional Cuckoo search CS algorithm and NSGA algorithm, the cost consumption is respectively saved by 2.21% and 4.49%; the experimental model is low in weekly average cost and high in power transmission efficiency, the power transmission efficiency is effectively improved, and the loss cost is reduced.

The invention discloses a pile sinking soil body response prediction regulation and control method based on a physical model, and relates to the technical field of geotechnical mechanics pile foundation engineering, and the method comprises the following steps: constructing an experimental model, arranging a sensor, and operating a loading device to enable the experimental model to sink a pile; according to the model pile sinking process, the soil body response is monitored in real time, and monitoring data are obtained; inverting the dynamic response of the soil body through the PINN inversion model, and coupling the DEM and the FEM to simulate and predict the response of the soil body; and risk control is carried out through a CEI early warning decision-making method. The device and the method are used for solving the problems of incomplete data acquisition, inaccurate simulation and lack of early warning in a traditional open tubular pile soil squeezing model test.

A test method and apparatus for the evolution of a neighborhood stress field during fault instability. The test method comprises: step S1: manufacturing a substrate (101); S2, selecting a pre-configured surface (101a) of the substrate to fix a strain sensing member (102); step S3, fixing the substrate (101) to the position of a fault in an experimental model (103), and determining a coordinate position of the substrate (101) on the basis of an inclination angle of the fault; step S4, connecting the strain sensing member (102) to a strain gauge; step S5, applying in-situ triaxial stress to the experimental model (103), and applying disturbance to the experimental model (103) when the experimental model reaches equilibrium; and step S6, calculating a stress value on the basis of a strain component measured by the strain gauge, and capturing the dynamic evolution of a neighborhood stress field during fault plane instability caused by the disturbance.

The invention provides a ground stress inversion method and system for optimizing a BP neural network based on a genetic algorithm. The method comprises the steps that modeling software FLAC3D is adopted to establish an experimental model; carrying out stress solution on the model; the solved data are imported into MATLAB, and the BP neural network is optimized based on the genetic algorithm in the MATLAB; and predicting the stress value of each point of the model. The technical problems that the initial crustal stress influence factors are not fully considered, the underground environment reduction effect is poor, the detection accuracy of the crustal stress field distribution rule is low, and the inversion operation is prone to interference due to the fact that the measuring point positions are unreasonably arranged are solved.

The present application provides a method and system for designing a low-power phase-change superlattice material, which relates to the technical field of phase-change superlattice materials. The method includes: constructing an experimental model and a control model, performing first-principles calculations on phase-change superlattice materials and crystal materials, and generating a machine learning potential using a machine learning potential model according to the calculation results; using the machine learning potential to simulate the melting process of the phase-change superlattice material and the crystal material, and calculating the simulation results to obtain the local melting characterization results of the phase-change superlattice material; when the local melting characteristic is obtained, the stacking order of the phase-change superlattice material is changed until the lowest melting point of the phase-change superlattice material is obtained, and the corresponding material is used as a low-power phase-change superlattice material. By calculating the simulation results to determine whether the material has the local melting characteristic, and obtaining the lowest melting point of the material after changing the stacking order, the reliability of the designed low-power phase-change superlattice material can be improved.

The utility model provides a cable-stayed bridge dynamic and static experimental model, and particularly relates to the technical field of road bridge design, which comprises a concave base, two bridge towers are arranged on the base, each bridge tower consists of two cross beams and two upright posts, a bridge floor is arranged between the two upright posts, and the cross beams are arranged on the base. The bottoms of the bridge floors are connected with the top end of the base and the top end of the lower cross beam through supporting assemblies, a plurality of inhaul cable assemblies which are connected with the bridge floors and used for pulling the bridge floors are arranged on the two sides of the stand columns, the two bridge floors are arranged, an expansion joint is reserved between the two bridge floors, approach bridges are arranged on the two sides of the base, and an experiment trolley is placed on one approach bridge. The model is composed of a base, a bridge tower, a bridge floor, an inhaul cable assembly and an approach bridge, a solid bridge style can be restored in a high mode, and data types measured through the model are comprehensive; the approach bridge can be used for placing the experiment trolley before the experiment, so that the load can be prevented from being applied to the to-be-monitored part of the bridge model before the experiment is started.

The invention discloses a method for predicting and designing a carbon dot-based long afterglow material by utilizing machine learning. The method comprises the following specific steps: S1, collecting and sorting data; s2, feature selection and processing; s3, machine learning modeling: model selection, model training and model evaluation; s4, predicting and optimizing; and S5, verification and experiment: verifying the model and adjusting the experiment. The method has high efficiency, the optimal component combination can be rapidly screened out, and the number of experiments is reduced; the performance of the material can be optimized, and better luminescence performance can be realized by accurately adjusting components; the cost can be saved, and the material research and development time and economic cost are reduced; moreover, accurate prediction can be realized, the prediction accuracy and reliability are improved, and the trial and error processes are reduced.

The invention relates to a physical model test device for landslide, in particular to a physical model test device for underground coal seam mining and freeze-thaw cycle induced slip, and belongs to the field of geological engineering. The experimental model comprises a rock mass and a coal seam, a kt plate is used for simulating the coal seam, and a small electric saw is operated to cut the kt plate so as to simulate coal seam mining; the freezing and thawing circulation system comprises a rainfall simulation system capable of adjusting rainfall and a temperature control system, the rock mass is saturated with water through rainfall, then freezing is formed after 6 h of low temperature, then 6 h of high temperature unfreezing is conducted, and the freezing and thawing circulation is completed; the monitoring sensing system comprises a grating displacement monitor, a stress sensor, a three-dimensional scanning device and a temperature sensor. According to the invention, the freeze-thaw cycle process can be simulated truly.

The invention belongs to the technical field of induced earthquakes in hot dry rock exploitation, and provides a hot dry rock development induced earthquake and safety regulation ultra-large physical simulation system which comprises an experimental model, the experimental model comprises a top surface, a bottom surface and side surfaces, and distributed stress loading systems are arranged on the top surface, the bottom surface and the side surfaces of the experimental model; a heating feedback system is arranged between the distributed stress loading system and the bottom surface and the side surface of the experimental model, and an injection well and a production well are formed in the experimental model along opposite angles; the first temperature sensor, the high-temperature-resistant deformation sensor and the high-temperature-resistant fluid pressure sensor are arranged on the prefabricated fault, and the high-temperature-resistant acoustic emission and microseismic sensor is arranged on the boundary of the experimental model, so that the prefabricated fault is comprehensively monitored in the experimental process; the whole-process monitoring of the inoculation process of the induced earthquake caused by injection and production of the hot dry rock, the sliding of the prefabricated fault and the fracture of the bedrock is realized, and the mechanism of the induced earthquake is revealed.

The invention relates to the technical field of dynamic response testing, in particular to a dynamic response testing method for an underwater model of a deep sea oil delivery hose. The method comprises the following steps: designing an experimental model of the deep sea oil delivery hose according to a similarity rate, calculating seabed boundary constraint conditions of the bottom end of the hose in an experiment, and equivalently representing the supporting effect of a vertical pipe on the hose in the horizontal direction and the vertical direction by adopting a spring stiffness model; based on technical parameters and sea conditions of the FPSO, hydrodynamic software is adopted to calculate and generate a six-degree-of-freedom movement time history of the robot; the six-degree-of-freedom movement process of the robot platform is input into a robot control system for loading testing; a camera is used for collecting images used for recording all the whole shooting and testing processes. According to the invention, the motion mode of the semi-submersible FPSO can be accurately loaded and reasonably simulated, and the high accuracy of the test result is ensured by optimizing the boundary condition of the hose model.

The invention discloses an underwater archaeological detection and identification simulation system based on an underwater cultural relic experiment model, and relates to the technical field of underwater archaeological detection.The underwater archaeological detection and identification simulation system comprises a detection management platform, and the detection management platform is in communication connection with the following modules: a cultural relic experiment model library building module, a cultural relic experiment model library building module and a cultural relic experiment model library building module, establishing a standardized and parameterized underwater cultural relic digital model library; and the multi-mode detection simulation module is used for simulating the response of acoustic, optical and electromagnetic detection technologies in the underwater environment. By constructing the standardized underwater cultural relic digital model library and combining geometry-material modeling and burying state configuration, accurate simulation of physical attributes and burying scenes of underwater cultural relics is realized, so that a simulation environment is closer to a real underwater condition, and the simulation efficiency is improved. The problems that traditional field detection depends on artificial diving, is low in efficiency and is limited by diving depth and time are effectively solved, and the trueness and reliability of detection simulation are remarkably improved.

The invention discloses a method for testing the rod system wave velocity and anchoring quality of an anchor rod, and the method comprises the steps: building an experimental model for testing the rod system wave velocity of the anchor rod, and testing the rod system wave velocity of the anchor rod wrapped by different anchoring media through the experimental model; the influence of different anchoring media on the anchor rod system wave velocity is analyzed through multiple experiments, and the curvilinear relation between the different anchoring media and the anchor rod system wave velocity and the anchoring quality is established; and evaluating the anchoring quality by measuring the rod system wave velocity of the anchor rod by using the curve relationship. According to the method, engineering scenes under different working conditions are simulated, the anchoring section wave velocity of an anchor rod anchoring system can be more comprehensively recognized, meanwhile, the anchoring quality is rapidly evaluated by measuring the anchor rod system wave velocity in actual engineering, problems in the construction process are found and corrected in time, the anchoring quality problem is avoided, and the construction efficiency is improved. The method has remarkable anchoring engineering quality identification and scientific research values.

The invention relates to the technical field of medical health, and provides an AD early warning model construction method and system based on a multi-dimensional test, and the method comprises the steps: collecting nerve image data, biomarker data and clinical feature data of a plurality of subjects, carrying out the abnormal data screening of a nerve image data set, carrying out the data cleaning of a biomarker data set, and carrying out the data cleaning of the biomarker data set; carrying out data coding on the clinical feature data set, respectively carrying out feature extraction on the preprocessed neural image data set and the preprocessed biomarker data set to obtain a neural image feature set and a biomarker feature set, and constructing a multi-dimensional feature matrix set; and obtaining a weighted multi-dimensional feature matrix set by using the training set matrix subset and the test set matrix subset, training the clinical prediction model by using the weighted multi-dimensional feature matrix set to obtain an early warning experiment model, and testing the early warning experiment model to obtain an early warning model. The problems of low diagnosis precision and abnormal data interference of a single data source can be solved.

The invention relates to the technical field of underground engineering simulation, in particular to an anti-seepage control analysis method and system for a deep foundation pit simulation experiment. The method comprises the steps that an experimental model is divided into a plurality of anti-seepage detection areas, and each anti-seepage detection area is associated with an edge area; an anti-seepage detection area is endowed with an identifier, identifier data are output according to the experiment input condition, and the anti-seepage detection area is obtained; acquiring anti-seepage detection combination area data according to the identifier; performing underground water simulation by adopting the experimental model, and outputting seepage data of the seepage-proofing detection combination area; the system comprises a detection area division module, an identifier endowing module, a combined area acquisition module and a seepage data output module. According to the method, the experimental input condition is converted to output the corresponding identifier data, any anti-seepage detection combination area is combined according to the identifier, the experimental model is adopted for underground water simulation, the seepage data of the anti-seepage detection combination area is output, and the accuracy of evaluating the anti-seepage performance is improved.

The invention discloses an experiment design and supervision system and method, and belongs to the field of artificial intelligence. According to experiment requirements and sample characteristics, an experiment scheme is generated by adopting an experiment model and combining a local knowledge base and internet retrieval content; according to the experiment scheme, an experiment target is disassembled into specific equipment operation instructions, and instrument equipment and a robot are controlled to complete an action sequence; constructing a structured security rule base, processing unstructured information by using a large model, and checking whether the experimental scheme and the operation instruction violate security rules or not; the method comprises the steps of constructing a multi-field ethical rule base, extracting ethical related elements in an experiment scheme, and examining whether the ethical related elements conform to rules or not based on the ethical rule base, so that an experiment task is automatic and intelligent, the experiment efficiency is improved, and the experiment safety and compliance are guaranteed.

The invention relates to a reconstruction method for simulating a local scouring terrain of a bridge pier in a sandpit environment, comprising a bridge pier local scouring experimental model, the bridge pier local scouring experimental model comprises a water tank, gravels are laid at the bottom of the water tank, a vertical support rod for simulating the bridge pier is fixed in the middle of the water tank, and a sunken sandpit area is arranged beside the vertical support rod. An annular track is arranged above the water tank, a mobile camera is arranged on the annular track, a black and white checkerboard is made as a terrain reconstruction control point in the to-be-tested area, and the mobile camera carries out annular shooting in the research area; a PMVS algorithm is adopted, a result of sparse three-dimensional point cloud reconstruction is optimized, then topographic feature analysis of a local scouring bed surface of a pier and quantitative calculation of a pit area are performed when a sand mining pit exists, the method is suitable for a water tank test and a riverbed physical model test, the riverbed three-dimensional topography before and after scouring can be rapidly and efficiently reconstructed, the precision is high, and the method is suitable for popularization and application. And the research of the pier scouring terrain is facilitated.

The present invention records a method for evaluating the impact resistance of the anchor-net cable support system of the coal roadway in a rock burst mine. Through field investigation of the engineering geological condition parameters and anchor-net cable support system parameters of the coal seam roadway in the rock burst mine, an experimental model is built according to the similarity theory, and a compensation load of a set value is applied to the top of the experimental model, and lateral constraints are applied to the experimental model to simulate the formation load on the surrounding rock in the roadway engineering prototype. Experimental support materials are made, and after the experimental model is maintained to meet the experimental requirements, the experimental roadway is excavated, and the experimental support materials are used to complete the roadway support. Microseismic detectors and stress gauges are set in the experimental model, and the acquired monitoring data is transmitted to a computer. A disturbance device is set at the same position of a group of experimental models to simulate impact disturbances, and the experimental models are observed respectively, and the data of the instability experimental model are collected to calculate the ultimate impact energy value that the anchor-net cable support system in the roadway engineering prototype can withstand.

The embodiment of the invention provides a slope instability starting simulation device under the action of a strong earthquake, and relates to the technical field of earthquake simulation equipment. A slope instability starting simulation device under the action of strong shock comprises a model storage mechanism, a four-corner vibration mechanism located at the lower end of the model storage mechanism and driving four corners of the model storage mechanism to synchronously generate vibration, and a unilateral vibration mechanism located at the lower end of the model storage mechanism and driving the model storage mechanism to synchronously generate vibration. The single-side vibration mechanism is located at the upper end of the four-corner vibration mechanism, so that the single-side vibration mechanism vibrates the front end or the rear end of the model storage mechanism and is coupled with an amplitude adjusting mechanism. The device can accurately simulate multiple modes such as four-corner synchronous jacking vibration, single-front-end single-side vibration and complex coupling vibration of an experiment model, further can accurately simulate various stress conditions possibly encountered by a side slope in an actual strong earthquake, and greatly improves the experiment precision.

The method, device, equipment and storage medium for determining the surface wettability of a single mineral provided in the embodiments of the present application comprise: establishing a water molecule model, a crude oil component model and a mineral model with pores respectively; loading water molecules composed of the water molecule model and crude oil components composed of the crude oil component model into the pores of the mineral model respectively; optimizing a system model; performing molecular dynamics simulation on the optimized system model to obtain a mineral model with water molecules and crude oil components in the pores; calculating the interaction energy of the mineral and water and the interaction energy of the mineral and the crude oil components respectively; and determining the oil-water wettability of the mineral surface according to the interaction energy of the mineral and water and the interaction energy of the mineral and the crude oil components. In the embodiments of the present application, a measurement environment close to geological conditions can be created, and corresponding experimental models can be established for crude oil components and mineral components, which is conducive to characterizing the heterogeneity of reservoir wettability.