417 results about "Pellets" patented technology

The invention provides a mineral leaching property analysis method, which belongs to the field of process mineralogy, and comprises the following steps: crushing and enriching a sample to be detected, and selecting single mineral particles to obtain target mineral particles; the preparation method comprises the following steps: coating a sample preparation grinding tool with epoxy resin glue, adding target mineral particles, and carrying out curing and grinding treatment to obtain a primary sample; cutting the primary sample, placing the grinding surface downwards and the three wear-resistant alloys at the bottom of a sample preparation grinding tool, injecting epoxy resin glue, curing to form a composite sample, accurately grinding, polishing, performing carbon spraying treatment, performing first automatic mineralogical analysis, measuring the area of a target mineral, cleaning, and performing leaching treatment to obtain a treated sample; and after solidification, accurate grinding and polishing and carbon spraying treatment, secondary automatic mineralogical analysis is carried out, the area of the residual target mineral is measured, and the leaching index of the target mineral is calculated. Reliable technical support is provided for mineral processing technology optimization and resource evaluation, and the method is particularly suitable for development of efficient leaching technologies of precious metal, rare earth and the like.

The invention provides a method for detecting the porosity of ores in a dump leaching process, and belongs to the technical field of detection of the porosity of the ores. The method comprises the following steps: taking a dump leaching ore body, screening, uniformly mixing, splitting, putting into a dump leaching column to obtain the volume of a sample subjected to splitting in the dump leaching column, then performing fine grinding, putting into the dump leaching column to obtain the volume of the sample subjected to fine grinding in the dump leaching column, and then performing image analysis on the sample subjected to fine grinding to obtain the pore volume among sample particles subjected to fine grinding. And finally, converting the three volumes to obtain the porosity of the heap-leached ore. Through screening treatment, the sample representativeness is effectively improved; the ore before superfine grinding and after superfine grinding is introduced into a dump leaching column, the sampling uniformity is controlled, and the accuracy and stability of data are improved through the in-pile process under the same test column; an image analysis algorithm is introduced, and meanwhile, a correction coefficient is introduced, so that small pores among particles are precisely measured and calculated. The method is simple in process and convenient to operate, and the ore porosity can be rapidly and accurately measured and calculated.

The invention relates to a deep stratum well hole and cave mining system and method, the system comprises a traffic well hole system, the traffic well hole system is provided with at least one well hole smaller than 1 m, an internal channel formed by the well hole is communicated with a cave formed by excavation, and the internal channel formed by the well hole is configured to be a flow-back channel and / or an injection channel; the well hole and cave mining device is provided with a crushing assembly and / or a cleaning and transporting assembly, the crushing assembly is used for carrying out form-controllable mining on the ore on the cave rock wall surface, and the cleaning and transporting assembly is used for cleaning ore particles in the cave or transporting the ore particles to the flowback channel; and the particle flow lifting system is used for lifting the extracted ore particles out of the well through the flow-back channel. The technical problems that when caves of deep stratums are mined, the supporting effect is poor, and the ore particle clearing and transporting efficiency is low are solved, and large-scale and high-efficiency mining operation can be conducted on the deep stratums or non-hard stratums.

A rock breaking efficiency prediction method based on image recognition and machine learning comprises the following steps: acquiring a rock surface image, performing graying processing by applying an image processing technology, and then performing pixel classification and image segmentation so as to clearly divide different minerals into a plurality of independent structure diagrams; modeling a rock material according to mineral components, importing boundary information of the plurality of structure diagrams into a model, generating a plurality of large-particle filled rock blocks with the same size as the plurality of structure diagrams, and calibrating mesoscopic parameter values according to rock mechanical characteristics; establishing a hob rock breaking discrete element calculation model, and performing multiple intrusion rock breaking simulation tests on rock samples with different mineral contents; collecting simulation results to construct a rock breaking efficiency data set; a prediction model is established based on a PSO-BPNN algorithm, and a rock breaking efficiency prediction model is obtained after training; and carrying out real-time prediction on the rock breaking efficiency by utilizing the established model. According to the method, the influence of rock mineral components on the rock breaking effect of the hob is considered, and efficient and accurate prediction of the rock breaking efficiency of the hob is realized by utilizing a method of combining rock microscopic components and macroscopic rock breaking behaviors.

The invention provides a method for measuring particle granularity and morphology, and belongs to the technical field of process mineralogy. According to the method, the particle size of the particles is analyzed on the basis of particle centroids in combination with geometric and statistical parameters, and meanwhile, morphological characteristics of the characterization particles are analyzed. A specific particle size measurement result is an equivalent radius result based on the centroid and can directly reflect the overall size of the particles, and further, a morphological characteristic result is based on centroid distance statistics and can quantify irregularities of the particles, such as roundness, length-diameter ratio and roughness; according to the test method, measurement is carried out on a two-dimensional plane, the measurement result is not influenced by a selected direction, accurate granularity and morphology characterization can be provided for particles with complex morphology (such as a dendritic or porous structure), and a reliable test method is provided for analysis of complex particle systems (such as geological sediments, industrial powder or biological particles).

The invention discloses a multifunctional geotechnical mechanical testing system for controlling temperature, humidity and salinity in an extreme environment, and relates to the technical field of ocean geotechnical engineering and geotechnical engineering. The system integrates a high-precision temperature and humidity and salinity control system, can accurately simulate the influence of complex environments such as extreme temperature and humidity, salt spray corrosion and the like on the mechanical properties of geotechnical materials, supports a direct shear test, a pull-out test, a soil body single-particle crushing test and a geosynthetic material stretching and puncturing test, can distinguish static, dynamic and long-term creep test modes, and can be used for testing the mechanical properties of the geotechnical materials. Comprising creep mechanical property testing under cyclic direct shear and continuous load. A visual monitoring assembly is additionally arranged, so that the microscopic deformation and damage process of the sample can be recorded in real time. Through multifunctional integration, temperature, humidity and salinity joint control, visual monitoring and dynamic and static coupling test devices, the technical bottlenecks of single function, environment simulation limitation and microcosmic observation deficiency of traditional equipment are solved, and high engineering application value and popularization potential are achieved.

The invention provides a method for measuring and calculating the article position of continuous silver ore with the particle size of 0.037 mm or above, and belongs to the technical field of mineral grade detection. The silver grade in the sample is measured and calculated through screening; leaching and measuring the content of silver monomers and continuous silver minerals, and reselecting to obtain a heavy sand product; carrying out fluorescent dyeing on the heavy sand product, and selecting monomer silver minerals; analyzing the color of the silver mineral through point scanning data of a scanning electron microscope, melting the monomer silver mineral to obtain the volume of the monomer silver mineral, and calculating the content of the monomer silver mineral; and carrying out conversion to obtain the continuous silver ore article position with the size of more than 0.037 mm. According to the method, the target mineral is rapidly and accurately obtained by adopting density medium reselection and fluorescent dye tracing; introducing a scanning electron microscope to measure and calculate the actual density of the silver mineral to replace the theoretical density, smelting the silver mineral in a mold, and carrying out volume measurement and calculation to obtain the actual metal amount closer to the actual silver mineral; measuring and calculating errors caused by impurities and irregular shapes of mineral particles are reduced; and the calculated grade of the silver mineral is more accurate.

The present invention relates to a calculation method for the general scour pattern of a cross-sea bridge considering the turbulence effect. The research area including the cross-sea bridge project is determined and meshed, the elevations of each grid node are obtained, typical computational hydrological boundary conditions are selected, a non-hydrostatic three-dimensional mathematical model including the entire cross-sea bridge project is established, the hydrodynamic fields before and after the bridge construction are calculated, the tidal level and flow velocity are verified, the pulsating velocity at each grid node, the sediment settlement velocity in still water and the settlement velocity under the influence of turbulent kinetic energy are calculated, the sediment carrying capacity is calculated according to the estuarine fine sediment model, and finally the general scour amplitude of the seabed at each grid node position is calculated, thereby obtaining the characteristics of the general scour amplitude in the upstream and downstream areas of the bridge. Combining the plane three-dimensional numerical model and the sediment carrying capacity calculation method considering the turbulence effect, through the dynamic equilibrium theory, the accurate prediction of the general scour pattern of the cross-sea bridge including the depth and range is realized, and the calculation accuracy of the general scour pattern of the cross-sea bridge is improved.

The invention belongs to the technical field of geological sample analysis, and particularly relates to a heavy mineral fidelity pretreatment and morphology automatic characterization method based on artificial intelligence. The method is based on a medium-low hardness heavy mineral fidelity separation and purification technology, an integrated multifunctional target manufacturing technology, a microscopic image intelligent acquisition technology and intelligent identification and feature extraction based on deep learning. The method comprises the following steps: acquiring fidelity heavy mineral particles which maintain the original three-dimensional morphology, are not reset in internal thermosensitive geological records and are not subjected to any systematic deviation screening on population composition, calculating a series of morphological parameters such as an extension coefficient, roundness, color and the like of each heavy mineral particle, and finally outputting a structured quantitative data report. According to the method, multidirectional and intelligent fidelity is realized from the source, and the analysis flux and objectivity are greatly improved by an automatic process, so that systematic and quantitative mineral resource general survey on massive fine particles in a giant deposition system becomes possible.

The invention discloses an abandoned mine oil storage chamber surrounding rock property evaluation method, and relates to the technical field of mineral engineering. The method comprises the following steps: acquiring damaged rock samples with different oil-water soaking times, and analyzing silicon element content change, surface particle characteristics, crack development and hole depth change of the damaged rock samples so as to determine internal structure erosion degree and surface topography characteristics; drawing a uniaxial compression stress-strain curve, a time-varying curve of acoustic emission ringing count rate and accumulated ringing count, a damaged rock sample RA-AF graph and a typical moment vertical displacement field graph, and obtaining acoustic emission characteristics and a surface displacement field of the damaged rock sample; calculating different energy values and drawing an energy evolution trend curve; and comprehensively evaluating the rock properties of the damaged rock sample under different oil-water soaking times according to the internal structure erosion degree, the surface topography characteristics, the acoustic emission characteristics and the energy evolution law. According to the invention, the multi-angle macro-micro characteristics of the surrounding rock of the abandoned mine oil storage chamber can be analyzed, and the comprehensive evaluation of the surrounding rock property is realized.

The invention discloses a rock permeability testing system in a high-temperature and high-pressure environment and a using method thereof, and belongs to the technical field of geothermal development or coal in-situ gasification mining. The test system is composed of a stress loading system, a test kettle assembly and a magnetic particle imaging system. When in use, the stress loading system and the test kettle assembly provide conditions such as high temperature, high pressure, seepage fluid and the like for a test piece; and detecting the spatial distribution state of the nano magnetic induction particles added in the seepage fluid through a magnetic particle imaging system to observe the pore and crack distribution characteristics in the test piece or detecting the nano magnetic induction particles added in the pollutant solution to observe the pollutant migration condition. The test system is scientific in design, simple in structure and easy to operate and maintain, can monitor pore fracture distribution and pollutant migration conditions in the test piece in real time under high-temperature and high-pressure conditions, provides accurate dynamic observation data, and provides important technical support for reservoir assessment and optimization in a complex environment.

The invention provides a detection method for rapidly judging flocculant residues in washed sand, and belongs to the technical field of scientific detection of building materials. The detection method comprises the following steps: taking a to-be-detected sand sample, washing off particles less than 0.075 mm, adding water into the residual sand sample, stirring to obtain a sand suspension, determining the time T1 when the turbidity value is 50NTU, taking another to-be-detected sand sample, putting the to-be-detected sand sample into water, stirring to obtain a to-be-detected sand suspension, determining the time T2 when the turbidity value is 50NTU, when T2 is less than or equal to 0.8 T1, determining that the flocculant residue in the to-be-detected sand sample is excessive, and when T2 is less than or equal to 0.8 T1, determining that the flocculant residue in the to-be-detected sand sample is less than or equal to 0.075 mm. The raw materials cannot be used in concrete preparation; and when T2 is greater than 0.8 T1, determining that the flocculant residue in the to-be-detected sand sample is less, and the to-be-detected sand sample can be used as a raw material in concrete preparation. From the perspective of time saving and convenience, the provided detection method is simple and reliable.

The invention relates to the technical field of geological exploration, in particular to a deep water ultra-shallow natural gas reservoir rock physical shear wave velocity prediction method, which comprises the following steps: calculating the equivalent bulk modulus, shear modulus and density of a mixed matrix of various minerals according to the shale content; calculating the bulk modulus and the shear modulus of the skeleton; calculating the bulk modulus and the shear modulus of the saturated rock through the model, and calculating the density of the saturated rock through the density of the rock matrix; distributing longitudinal and transverse velocities in a suspension state and a bearing state, and calculating equivalent longitudinal and transverse wave velocities; taking the longitudinal wave velocity as a known condition, and constructing an inversion objective function by using the equivalent longitudinal wave velocity; comparing the actual longitudinal wave speed with the calculated longitudinal wave speed; and realizing nonlinear inversion of the shear wave velocity according to an algorithm, and obtaining the shear wave velocity of the work area to be inverted. According to the method, rock physical models in a particle suspension state and a bearing state are considered at the same time, and shear wave velocity prediction and direct inversion of the shear wave velocity of the deepwater ultra-shallow natural gas reservoir are realized.

The invention provides a pore geometric morphology fine characterization method based on confining pore forming of mineral particles, which comprises the following steps: S1, performing fine characterization of the mineral particles based on geometric morphology characteristics, and accurately identifying the mineral particles in combination with characterization results; s2, performing geometric shape quantitative characterization on different types of pores from the angles of pore diameters, roundness, flatness, shape indexes and corner angle indexes to obtain geometric shape parameters of the pores; s3, on the basis of the recognized mineral particles, the names of confinement pores are determined, clustering analysis is conducted on the confinement pores in combination with the geometric morphology quantitative characterization result obtained in the step S2, and a pore classification scheme is established; and S4, based on a classification scheme and a quantitative characterization result, determining development characteristics of shale reservoir pores, establishing a porosity contribution index model formula, and matching and verifying a reservoir physical property result. According to the method, through comprehensive analysis of the pore morphological characteristics, solid data support and theoretical basis can be provided for scientific evaluation of a high-quality pore development mode.

The invention relates to a shale full pore size distribution and connectivity quantitative characterization method. The method comprises the following steps: respectively determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum and a nuclear magnetic resonance T2 spectrum of a dry sample core and a saturated oil core, carrying out a high-pressure mercury injection test on a parallel sample of the core, completing benchmarking of T2 and pore throat radius, and determining core communication aperture distribution; (2) splitting the rock core into sheets along the lamella, determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum of the sheet-shaped dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the dry sample rock core, and calculating the distribution of the disconnected seams of the rock core; (3) grinding the rock core into 200-mesh particles, measuring the two-dimensional nuclear magnetic resonance T1-T2 spectrum of the granular dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the sheet-shaped dry sample rock core, and calculating the distribution of disconnected holes of the rock core; and (4) calculating shale full pore size distribution and connectivity. According to the method, nuclear magnetic resonance testing is carried out on shale in different states and forms, and quantitative characterization of shale full pore size distribution and connectivity of different storage spaces is achieved.

The invention discloses a method for purifying high-purity quartz sand, which belongs to the technical field of preparation of high-purity quartz sand, and comprises the following steps: (1) sequentially carrying out high-pressure water jet scrubbing, gradient screening classification and dielectric separation on sandstone type quartz ore raw ore with SiO2 content of 85-90% to remove feldspar to obtain quartz particles with feldspar content of less than or equal to 2%; (2) sequentially carrying out microwave field pretreatment, infrared light field crack propagation and pulse laser implosion stripping on the quartz particles obtained in the step (1), and regulating and controlling technological parameters of the three fields through linkage of a PLC (Programmable Logic Controller) system, so that the stripping rate of an impurity inclusion is greater than or equal to 92%; according to the invention, aiming at quartz particles with different particle sizes, a plurality of process parameters are automatically optimized and adjusted through the PLC system, accurate control and adaptive production are realized, and high-purity products can be stably produced from sandstone type quartz raw materials with different grades in different regions. And the inclusion is opened from inside to outside through a multi-field synergistic effect, and the completeness of the quartz particles is retained to the greatest extent by combining with an optimized fluoride-free acid leaching condition.

The invention relates to a form-controllable mining system and mining method for a liquid-filled well cave in a deep stratum. The system comprises an expansion operation device, an ore particle lifting system and at least one process well, the extended operation device comprises an extended mining device and / or an extended collecting device; the expansion operation device can move along the process well and can be conveyed to an operation position through the process well; the extended excavation device is used for realizing chamber excavation along the process well; or the extended collecting device is used for collecting or sucking the ore particles in the chamber along the process well. The method and the device have wide prospects in the fields of deep stratum mining, in-layer mining of the underlying strata of the ocean and deep stratum space resource utilization.

A method for hydrocarbon production from a carbonate formation includes receiving a carbonate texture description of a drill cutting. A pre-defined grain fraction is assigned to the drill cutting based on the texture description. The pre-defined grain fraction is one of a set of pre-defined grain fractions and each pre-defined grain fraction of the set of pre-defined grain fractions corresponds to a respective one the set of carbonate texture descriptions. Based on the pre-defined grain fraction assigned to the drill cutting and a depth of the wellbore from which the drill cutting is taken, an estimated porosity of the drill cutting is determined using an algebraic equation, coefficients for which are determined by regression analysis using reference rock samples that have been assigned pre-defined grain fractions from the same set of pre-defined grain fractions.

To provide porous particles capable of more effectively exhibiting performance of an active component.SOLUTION: A powder of porous tertiary particles, which are composed of aggregates of porous secondary particles is provided, where the average particle diameter of the powder is in the range of 0.1 to 5.0 mm, and in the pore size distribution of the powder, a first peak exists in the range of pore diameters of 5 nm or more and less than 100 nm (PdR1), and a second peak exists in the range of pore diameters of 100 nm or more and 10,000 nm or less (PdR2). When the pore diameter of the first peak is Pd1, the total pore volume (PV1) of pores with diameters of 0.75×Pd1 or more and 1.25×Pd1 or less accounts for 60% or more of the total pore volume of pores with diameters less than 100 nm (PVR1). When the total volume of pores with diameters less than 100 nm is defined as the first total volume (PVR1) and the total volume of pores with diameters of 100 nm or more is defined as the second total volume (PVR2), the value of PVR1 / (PVR1+PVR2) is in the range of 0.2 to 0.6.SELECTED DRAWING: Figure 1

The invention relates to the technical field of marine deposition backflow sand recovery, and discloses a marine deposition backflow sand recovery method which comprises the following steps: (1) backflow tail mud collection and concentration regulation and control: systematically collecting overflow tail mud from a mortar ore storage hopper and a hydraulic classifier in a marine deposition sand beneficiation process, pumping the backflow tail mud into a slurry mixing tank, and carrying out slurry mixing and concentration regulation and control on the overflow tail mud; the mass concentration is accurately regulated and controlled within the range of 32%-48%; the backflow tail mud generated in the marine sedimentary sand beneficiation process is collected through the system, a multi-step cooperative treatment technology is adopted, especially ultrasonic cavitation and mechanical cooperative dispersion, enhanced secondary scrubbing, precise hydraulic cyclone classification and other technical means are adopted, particle aggregates formed by wrapping of salt and fine mud are effectively dissociated, and the separation effect is good. Therefore, qualified quartz sand particles of + 0.15 mm which are lost in the tail mud originally are efficiently recovered, the overall recovery rate of the quartz sand is remarkably improved, waste of precious silicon resources is reduced, and the comprehensive utilization level of the resources is improved.

The invention relates to the technical field of rock sample crushing, and discloses a crushing device for a rock sample for component detection, the crushing device comprises a bottom plate, the upper surface of the bottom plate is fixedly connected with a shell, the shell is internally and fixedly connected with a partition plate for dividing the shell into two spaces, and the positions, located on the two sides of the partition plate, of the top of the shell are fixedly connected with feeding pipes; a sealing cover is clamped to the top end of the feeding pipe, two crushing rollers are rotationally connected to the positions, located on the two sides of the partition plate, in the shell through bearings, and a power assembly for driving the two crushing rollers to crush the rock sample is arranged on the outer wall of one side of the shell. The crushing device can prevent particles generated during crushing from splashing to injure workers and prevent dust from influencing the body health of operators, can prevent crushed rock samples from blocking a sieve plate, improves the screening speed of the sieve plate on crushed materials, can also collect the rock samples on the sieve plate and the rock samples screened by the sieve plate in a classified manner, and improves the crushing efficiency. And the use convenience is improved.

The invention discloses a water-rich broken surrounding rock directional grouting method based on an external magnetic field. The method comprises the following steps that 1, geological exploration is conducted on a target water-rich broken surrounding rock area; step 2, mixing the base material, the nano ferroferric oxide magnetic particles, the rheology regulating agent, the dispersing agent and the coagulation accelerator according to a mass ratio; 3, injecting alternating current with the frequency of 50-500Hz into the electromagnetic coil to generate a rotating magnetic field with the intensity of 3-10kA / m, and driving the slurry to directionally migrate along the main fracture area; 4, the grouting pressure of the pre-buried pressure sensor is monitored in real time, when the pressure change rate delta P / delta t is larger than or equal to 0.1 MPa / min, the electromagnetic coil injection frequency is switched to alternating current of 1 kHz to 10 kHz, so that the intensity of a magnetic field is improved to 8 kA / m to 15 kA / m, and grouting on the micro-crack area is enhanced; and 5, when the pressure change rate delta P / delta t is smaller than + / -0.1 MPa / min and lasts for 5-10 min, grouting operation is ended. The method aims at solving the problems that in grouting reinforcement of the water-rich fractured stratum, slurry is lost along with water flow, micro-cracks are difficult to fill, and reinforcement bodies are distributed unevenly.

The invention discloses a viscous fine particle-based MICP rock fracture restoration three-dimensional discrete element simulation method, which comprises the following steps: carrying out a direct shear test on a rock sample, obtaining stress data and particle size data of the rock sample in the test process, and establishing a relation model; establishing an initial model of fine particle cementation, setting a scaling coefficient and creating boundary and contact conditions; physical attributes and geometric attributes are given to each sphere, the process of repairing rock fractures by calcium carbonate is simulated under the gravity effect, and a discrete sphere set within the boundary range is stored as a first model and placed into a particle attribute giving module; simulating calcium carbonate precipitation; gradually loading extrusion force, detecting the stability of the model by utilizing a balance force function, storing the model as a model II, and putting the model II into a shear loading module; and evaluating a reinforcement effect and judging a failure mode. According to the method, the biological rock fracture repairing effect and the numerical simulation of the damage state can be quickly and flexibly predicted at low cost.

The invention belongs to the technical field of ore dressing equipment, and particularly relates to a spiral chute ore dressing machine for mineral particles, which comprises a bracket, a spiral chute I and a spiral chute II which are centrosymmetric are connected to the bracket, vertical plate parts are arranged on the edges of the two sides of the spiral chute I and the spiral chute II, and a fixed cover is connected to the upper part of the bracket; a lifting plate capable of sliding up and down is arranged in the fixed cover, two pairs of spiral extrusion vertical plates attached to the inner side of the vertical plate part are connected to the lifting plate, and a feeding pipe with two feeding ends is arranged below the fixed cover. Ore pulp flowing out of the feeding pipe flows downwards along the first spiral chute and the second spiral chute, under the action of centrifugal force and gravity, minerals with different densities are zoned in the first spiral chute and the second spiral chute, the rotating rotating column enables the spiral material extruding vertical plate to move up and down in a reciprocating mode through the oval groove and the protruding block, and the materials are extruded through the spiral material extruding vertical plate. And the spiral material extruding vertical plate intermittently extrudes ore pulp at the vertical plate part through the inclined surface, so that the ore pulp is prevented from being retained at the edge, the cleaning difficulty is reduced, and the separation efficiency and separation effect of the ore pulp are ensured.

The invention relates to a karst area rock sample penetration damage simulation method and system based on discrete elements, and belongs to the field of geotechnical engineering. The invention discloses a karst area rock sample penetration damage simulation method based on discrete elements. The karst area rock sample penetration damage simulation method comprises the following steps: S1, constructing a fracture damage constitutive model reflecting a karst area rock discontinuous surface position; s2, inputting parameters and conditions based on a discrete element method and the fracture damage constitutive model reflecting the position of the rock discontinuous surface in the karst area, and calculating particle stress information; s3, calculating the particle speed and displacement according to the particle stress information to obtain a calculation result; s4, outputting the calculation result; wherein in the step S2, according to the position relation between the particles and the discontinuous surface, the damage coefficient of the discontinuous surface is introduced, the particle stress information is dynamically corrected, and the penetration mechanical response under different discontinuous surface positions is accurately simulated. According to the method, the position and the crushing damage degree of the discontinuous surface of the rock are considered, a new rock sample model is constructed, and more accurate simulation is realized.

The invention relates to the technical field of thermocycling damage treatment, in particular to a granular rock thermocycling damage prediction method, which comprises the following steps: establishing a particle-based numerical model by using discrete element software; setting initial temperature and confining pressure of the rock sample, and constructing a heating, balancing and cooling experiment process; setting different preset temperature values and temperature rising and cooling step lengths; elastic modulus damage and crack number development are obtained; thermal damage is calculated through elastic modulus damage and crack number development, the relation between rock volume thermal strain and rock heating-cooling damage under different confining pressures is obtained, and a damage prediction model of rocks under different confining pressures under the cold and heat cycle condition is constructed. Aiming at the rock damage problem caused by rock heating expansion and cooling shrinkage, the thermal damage and volume thermal strain model considering heating and cooling is constructed, and the universality of the model is high.

The invention provides a landslide monitoring device and method based on acoustic emission characteristics of granular materials, and relates to the field of geological disaster prevention and control, the landslide monitoring device comprises a waveguide rod, an acoustic emission monitoring unit and an analysis unit, a geological drill hole is divided into at least two hole sections from bottom to top, and each hole section is filled with the granular materials; the diameters and / or materials of the granular materials in different hole sections are different; the acoustic emission monitoring unit can monitor acoustic emission information of the granular material in each hole section, and the acoustic emission information comprises a plurality of acoustic emission characteristic parameters; the acoustic emission information of the granular materials in different hole sections at the same sliding speed is different; the analysis unit is in signal connection with the acoustic emission monitoring unit; and the analysis unit can judge whether landslide deformation is generated or not according to the acoustic emission information, and obtain the type of the granular material in the hole section where the landslide deformation is generated and / or the depth of the slip surface. According to the invention, low-cost and continuous monitoring of deep displacement can be realized, and meanwhile, the depth of a slip plane when a landslide occurs can be judged.

The invention relates to a rock mass splitting test device and method based on granular slurry perfusion, the device comprises a loading mechanism and a grouting mechanism, the loading mechanism comprises an inner cavity, an outer cavity and a loading unit, a rock mass sample is arranged in the inner cavity, the loading unit is connected with the rock mass sample and the outer cavity, and the outer cavity is connected with the loading unit; wherein the loading unit comprises multiple stages of loading assemblies which are perpendicular to the surface of the rock mass sample and are arranged in a layered mode, slurry guide holes are formed in the rock mass sample, the loading unit is provided with a grouting pipeline, a grouting device of the grouting mechanism is provided with a driving assembly connected with a pump body and a slurry cavity connected with the grouting pipeline, and the grouting device is rotationally connected with the frame bodies on the two sides. According to the technical scheme, the multi-stage loading assemblies are arranged from the center of the rock mass sample to the edge layer by layer, and the number of the assemblies providing loads can be freely combined, so that the stress area acting on the surface of the rock mass sample is flexibly changed, stress areas in different shape ranges are formed, cracks in different forms are further induced to be generated, and diversified test requirements are met.

The invention provides a fine measurement and analysis method for particle size grading of deep ocean mud. The fine measurement and analysis method comprises a screening process, a dynamic correction factor formula, a particle size grading calculation formula and generation of a particle size grading graph. According to the technical scheme, particles with different particle sizes in the deep-sea sediments can be effectively separated and accurately measured, and particularly, the method has obvious advantages in the aspect of separation of nano particles, fine particles and biological remains. Through the method, accurate particle size distribution data of the deep-sea sediments can be obtained, the particle size grading diagram is generated, and then reliable data support is provided for marine ecological research, resource evaluation, environment monitoring and the like.