81 results about "Micromechanics" patented technology

The invention discloses a macroscopic progressive damage intelligent evaluation method driven by multi-scale microscopic damage observation, and the method comprises the steps: selecting a plurality of representative materials to carry out a microscopic mechanical test, and observing the damage evolution process under different loading conditions through MicroCT to obtain a microscopic mechanical test result; simulating a crack state based on a micro-mechanical model to reproduce a micro-mechanical test result, and performing material parameter correction of simulation calculation by taking test data as a constraint to obtain a micro-numerical modeling calculation result; and determining a representative volume element (RVE) scale based on a microscopic numerical modeling calculation result, and describing a macroscopic damage behavior by utilizing a continuous damage mechanical model so as to obtain evolution relation data of a macroscopic damage variable, stress and strain. According to the method, the damage behaviors of metal and composite material structures under complex working conditions can be accurately predicted, and the safety and reliability of aircraft structures can be improved.

The embodiment of the invention relates to the technical field of rock mechanics, in particular to a rock micromechanical property determination method, device and equipment, and the method comprises the following steps: carrying out indentation test on a target area on the surface of a rock sample to obtain micromechanical response data of the rock sample; the micro-mechanical response data represents the change relationship between the micro-mechanical response of the rock sample and time; scanning a target area on the surface of the rock sample in the indentation test process to obtain microstructure evolution data corresponding to the micromechanical response data; the microstructure evolution data represents a change relationship between the microstructure of the rock sample and time; and determining the micromechanical properties of the rock sample according to the micromechanical response data of the rock sample and the corresponding microstructure evolution data. According to the embodiment of the invention, the heterogeneous micro-mechanical property of the rock can be accurately represented based on collaborative analysis of the micro-mechanical response and the microstructure of the rock sample at multiple time points, and dynamic, in-situ and quantitative representation of the micro-mechanical property of the rock is realized.

The invention provides a method and a device for evaluating and measuring microscopic mechanical properties of TC4 alloy, relates to the technical field of microscopic mechanical properties, and realizes accurate evaluation of material properties through combination of multi-scale characterization and numerical simulation. Firstly, a standard sample is prepared through selective laser melting, and residual stress field distribution is obtained through X-ray diffraction; dividing a stress field into sub-regions, and establishing a quantitative relationship between microscopic structure parameters and residual stress by combining SEM and EBSD analysis; the method comprises the following steps: acquiring local mechanical properties through a nanoindentation test, and constructing a stress-performance correlation model; and finally, establishing a finite element model, transmitting stress and tissue parameters by adopting trilinear interpolation and an inverse distance weighting method, verifying data reliability through a stress difference criterion, and calculating mechanical properties of each unit. According to the method, multi-scale correlation from microstructure characteristics to macroscopic mechanical properties is innovatively realized, so that the mechanical property distribution of the material is accurately evaluated.

The invention relates to the field of materials, and particularly provides a composite material damage prediction method based on mesomechanics and related equipment, and the method comprises the steps: obtaining macromechanics response data and microstructure feature data of a composite material; constructing a multi-mechanism damage prediction model based on the microstructure feature data through a mesomechanics theory; performing inversion calibration on the model parameters based on macromechanics response data, and verifying the effectiveness of the multi-mechanism damage prediction model through experimental data; and based on the calibrated multi-mechanism damage prediction model, predicting the initial damage strain of the composite material under different loading conditions and microstructures. According to the method, the macromechanics response data and the microstructure feature data of the composite material are obtained, the multi-mechanism damage prediction model is constructed in combination with the micromechanics theory, and model parameters are calibrated and verified through experimental data, so that accurate prediction of the initial damage strain of the composite material under different loading conditions and microstructures is realized.

The invention discloses a salt cavern ammonia reservoir stability evaluation system based on multi-parameter fusion and intelligent perception, and aims to solve the problem of stability evaluation of a salt cavern ammonia reservoir. According to the system, the geological condition is determined through a three-dimensional seismic exploration system and a drilling exploration technology, and sonar measurement and a sensor are used for monitoring data such as the cavity internal pressure and the volume shrinkage condition of the ammonia storage library in real time. Multi-source parameters such as the internal pressure, the cavity volume shrinkage rate and the safety pillar width are fused, micromechanical parameters and macrogeological conditions are incorporated into a stability coefficient, and the judgment accuracy is improved. The Internet of Things based on a deep learning algorithm is used for collecting data through a sensor network and transmitting the data to a large platform for analysis, so that real-time judgment and intelligent perception of stability can be realized, an operation risk can be predicted, and a response mechanism can be made in time. Meanwhile, the method provides mature thoughts and references for stability evaluation of similar underground reservoirs.

The invention discloses a fracturing engineering dessert evaluation method based on a while-drilling rock debris indentation mechanical parameter test. The fracturing engineering dessert evaluation method comprises the following steps: S1, obtaining a while-drilling rock debris sample; s2, processing the rock debris sample while drilling into a casting body sheet; s3, acquiring micro-mechanical parameters of each test point; s4, obtaining macromechanical parameters of the rock debris sample; s5, core triaxial mechanical parameters of reservoir rock are obtained; s6, establishing relevance between micromechanical parameters of the while-drilling debris sample and triaxial mechanical parameters of the rock core, and correcting the micromechanical parameters obtained by a subsequent indentation method to obtain rock mechanical parameters of different well depths of the horizontal well section; S7, respectively carrying out weighted average treatment on the obtained rock mechanical parameters, and proposing a fracturing index; and S8, according to the fracturing indexes, a K-clustering analysis method is adopted, and the horizontal section stratums are classified and evaluated according to the three types of reservoir stratums. The horizontal well mechanical parameter testing and reservoir compressibility evaluation method is formed through the fracturing indexes, and a traditional reservoir evaluation method mainly based on geology is changed.

The invention relates to the technical field of magnetic material injection molding, and discloses an injection molding magnetic powder orientation optimization method and system based on rheology-magnetic field coupling. The method comprises the following steps: deploying a distributed sensing network at key positions of a mold runner and a mold cavity, and synchronously capturing dynamic viscosity change gradient and magnetic field intensity space distribution of a melt in real time in a filling process. The captured data are input into a multi-physics field coupling simulation engine based on micromechanics, an instantaneous orientation vector field of the magnetic powder in the cavity is obtained through calculation, then an orientation order degree topological graph is constructed through tensor analysis and an image algorithm, and a weak orientation area and the boundary of the weak orientation area are accurately recognized. And finally generating a composite regulation and control instruction of the magnetic field and the injection parameters according to an identification result. According to the method, online diagnosis and active compensation regulation and control of the orientation state of the magnetic powder can be realized, and the orientation uniformity and consistency of the injection molding magnet are improved.

The invention discloses an experimental device and method for measuring the swimming characteristics of algae cells in shear flow. The experimental device comprises an air pressure source, a pressure pump, a liquid storage bottle, a flow meter, a micro-channel and a waste liquid bottle which are connected in sequence, the method comprises the following steps: determining average flow according to experimental working conditions to produce stable shear flow, shooting an algae cell movement track image sequence, obtaining the distribution of the migration velocity V of algae cells through the observed algae cell movement track, calculating the distribution of the flow velocity Vflow of the algae cells in combination with an analytical method, and calculating the flow velocity Vflow of the algae cells according to the distribution of the flow velocity Vflow of the algae cells. And calculating to obtain the algae cell swimming characteristics in the shear flow, wherein the algae cell swimming characteristics comprise the self swimming speed Vs and the angular speed omega. According to the device and the method, high-precision measurement of the movement behavior of the algae cells in the shear flow is realized, an experimental method and an analytical method are combined, the defect that swimming characteristics such as swimming speed and angular speed of the algae cells cannot be obtained in previous researches is overcome, and technical support is provided for development of micromechanics in a more detailed micro-scale.

The invention discloses a method for generating a micromechanical property distribution diagram of a solid waste composite cement-based cementing material, and belongs to the technical field of performance prediction of solid waste composite cement-based cementing materials, and the method comprises the following steps: acquiring BSE, EDS and nanoindentation data of a sample; identifying indentation areas in the nanoindentation mark graph, and generating masks corresponding to the areas; performing statistics on the regional masks to obtain element content data of each indentation region; establishing a prediction model by adopting machine learning based on the regional element content and the elasticity data; performing super-pixel segmentation on the BSE image to match the scale of the indentation area; calculating element features of the super-pixel regions, and predicting the elastic modulus of each super-pixel region; and mapping the predicted elastic modulus to a corresponding region to generate an elastic modulus distribution diagram. According to the method, prediction of the two-dimensional space distribution of the internal elastic modulus of the solid waste composite cement-based cementing material can be realized, and data and visual support are provided for material heterogeneity research and multi-scale modeling.

This invention belongs to the field of concrete repair and provides a method and system for targeted control of the transition zone at the repair interface of existing concrete substrates. The method for targeted control of the transition zone at the repair interface of existing concrete substrates includes calculating the average micromechanical properties and the average phase content of each segment at different distances from the repair interface; fitting the average micromechanical properties of each segment at different distances from the repair interface with the average content of each phase to determine the phase category that has the greatest impact on the micromechanical properties; based on the fitting relationship between the micromechanical properties and the phase that has the greatest impact, determining the content and distribution of the phase that has the greatest impact on the micromechanical properties corresponding to the set micromechanical property requirements, and thus obtaining a matching composition and proportion control scheme for the repair material. This improves the accuracy of targeted control of the repair interface of existing concrete substrates.

The application discloses a kind of material indentation mechanical property testing device and method based on optical microscopy, it is related to material microscopic mechanical property testing technical field, the material indentation mechanical property testing device based on optical microscopy includes optical microscope, transparent indenter, sample table, force sensor, observation baffle, displacement sensor, load loading component and controller, in the indentation test process of material sample using transparent indenter, indentation image, indentation depth and indentation load under the contact state of transparent indenter and material are respectively collected in real time by optical microscope, displacement sensor and force sensor, and based on this, the mechanical property of material micro area in the indentation process of material sample can be characterized in real time, provide new technical means for material microscopic mechanical property testing technical field.

The invention discloses a comprehensive evaluation method for the paint removal effect of an aluminum alloy aircraft skin, and relates to the technical field of aircraft surface treatment.The comprehensive evaluation method comprises the steps of skin paint removal macroscopic monitoring, skin paint removal microcosmic detection and skin paint removal comprehensive analysis and early warning prompt. Analyzing to obtain a macroscopic evaluation coefficient of the base body surface corresponding to the aluminum alloy aircraft, acquiring microscopic characteristics and microscopic mechanical characteristics of the base body surface corresponding to the aluminum alloy aircraft, and analyzing a microscopic evaluation coefficient of the base body surface corresponding to the aluminum alloy aircraft, so as to comprehensively judge the skin paint removal effect of the base body surface corresponding to the aluminum alloy aircraft. Therefore, the accurate paint removal effect is achieved, paint removal risk remedy is executed in time, the navigation safety of the airplane is guaranteed, the follow-up painting efficiency and quality of the aluminum alloy airplane are improved, and the navigation safety of the aluminum alloy airplane is further maintained.

This invention discloses a random field probability prediction method for long-term settlement of shield tunnels in heterogeneous strata, belonging to the field of underground engineering structural health monitoring and risk assessment. The method first inverts the micromechanical parameters of the strata through shield tunneling parameters, then constructs a three-dimensional anisotropic random field model, generates random field samples through K-L series expansion, and calculates the settlement field using a three-dimensional fluid-structure interaction finite element model and Monte Carlo simulation. Statistical analysis is used to predict the settlement probability, and finally, the probability of settlement exceeding limits is calculated based on reliability theory to complete the risk assessment. This invention breaks through the homogenization assumption, quantifies settlement risk, adapts to complex heterogeneous strata, provides a scientific decision-making basis for the whole life cycle management of tunnels, and has strong engineering applicability.

The invention discloses a granular material shear band thickness detection method, and relates to the field of geotechnical engineering, and the method comprises the following steps: carrying out a ring shear test on a granular material, carrying out three-dimensional sampling to obtain a sample, dipping and curing the sample to obtain a cured sample, and constructing a three-dimensional granular structure model; the solid-phase fraction of each layer is calculated layer by layer in the height direction of the three-dimensional particle structure model, the relative deviation threshold value of the solid-phase fractions is set, the relative deviation is calculated, the positions where the relative deviation exceeds the relative deviation threshold value of the solid-phase fractions for the first time and the last time are the boundaries of the two sides of the shear band, and the distance between the boundaries of the two sides is calculated to obtain the thickness of the shear band. According to the method, the boundary of the shear band is determined according to the fluctuation condition of the solid-phase fraction, so that the thickness of the shear band is calculated, the thickness of the shear band is directly associated with the micromechanical response in a physical quantization mode, subjective errors caused by judging the boundary of the shear band according to experience are reduced, and the precision of shear band thickness detection is improved.

This invention discloses a discrete element method, system, medium, and equipment for simulating equivalent crystalline materials, relating to the field of numerical simulation of rock mechanics. The method includes: converting granite images into binary images using a binarization method to identify various minerals within the binary images; determining the size data of various minerals in the binary images based on a particle size statistical algorithm; extracting micromechanical parameters using nanoindentation experiments combined with a trial-and-error method, and constructing multiple sets of equivalent crystalline models based on the mineral size data; dividing each set of equivalent crystalline models into multiple regions using a Brazilian splitting experiment; determining the optimal magnification for each region of each set of equivalent crystalline models by magnifying from non-critical regions to critical regions using a magnification algorithm, obtaining differentiated equivalent crystalline models; and performing Brazilian splitting numerical simulation using these differentiated equivalent crystalline models to obtain simulation results.

The invention provides a nanoindentation testing method for a composite asphalt mixture, and relates to the technical field of asphalt material performance research. The method comprises the following steps: S1, preparing a double-solid waste epoxy resin composite asphalt mixture test piece; s2, grinding and polishing the test piece by adopting a step rotating speed and composite lubricating liquid synergistic process so as to obtain the surface smoothness meeting the nanoindentation test requirement; s3, acquiring a macroscopic elastic modulus of the test piece, and automatically generating nanoindentation test parameters according to the macroscopic elastic modulus through a pre-established Sigmoid mapping model; and S4, carrying out nanoindentation test according to the test parameters so as to evaluate the micro-mechanical properties of the asphalt mortar, the aggregate and the interface transition area. By reasonably designing the mix proportion and the production process, efficient utilization of the waste asphalt pavement material and the steel slag is achieved, the resource utilization rate is increased, sustainable development is promoted, and a high-performance, economical and environment-friendly solution is provided for road maintenance and repair engineering under complex climate conditions.

The invention relates to a method for evaluating the performance of a coating on a microscopic scale, which comprises the following steps of: cutting a block material containing a plurality of layers of coating areas, and positioning a sample through an FIB-SEM double-beam system; the method comprises the following steps: preparing a multi-layer coating micro-column compression sample by adopting FIB, loading the micro-column compression sample to 10-40% strain at a strain rate of 1 * 10 <-4 > / s to 1 * 10 <-2 > / s, and observing the deformation and mechanical response of the micro-column in real time through SEM. The whole device has nano-scale precision, low-damage processing and dynamic observation capability, can accurately analyze key microscopic failure mechanisms such as interface debonding of each layer in the coating and crack initiation and propagation in a single coating, not only fills the technical blank of multilayer coating micromechanics research, but also improves the working efficiency of the coating. And reliable micro-mechanical data support can be provided for component design, structure optimization and process improvement of the multi-layer coating in the aerospace field, and finally coating technology upgrading in the field is supported.

The invention discloses an uncertain quantization and propagation method for constitutive parameters of a viscoelastic composite material, which comprises the following steps of: developing a multi-scale micro-mechanical model on the basis of a fractional order differential and average field homogenization theory so as to reveal a nonlinear relation among component material performance, microstructure parameters and macroscopic viscoelasticity. And secondly, the Levenberg-Marquardt optimization algorithm and the Physics-Informed Neural Network proxy model are used for realizing the self-adaptive optimization of the sampling initial conjecture and the improvement of the calculation efficiency. Therefore, a Bayesian probability model is established, and model parameter posterior distribution is calculated by adopting a Markov chain Monte Carlo method so as to evaluate uncertainty, correlation and model errors of parameters. And finally, calculating posterior prediction distribution of the overall response, the constitutive response and the noise response. According to the method, the provided multi-scale Bayesian framework provides an effective way for optimizing component material performance and microstructure parameters, and the method has an important guiding effect on design of advanced viscoelastic composite materials with higher bearing capacity.

This invention discloses a simulation method and related products for the influence of irradiation defects on the micromechanical properties of Zr-Nb alloys. The simulation method includes the following steps: S1, obtaining Zr-Nb alloys containing typical irradiation defects and obtaining stable configurations of Zr-Nb alloys containing typical irradiation defects based on classical molecular dynamics; S2, calculating the micromechanical properties of the stable configurations obtained in step S1 by simulating a nanoindentation experiment, and obtaining the micromechanical properties of each system; S3, based on the micromechanical properties obtained in step S2, and combined with the kinetic information of the internal microstructure changes, establishing the correspondence between micromechanical properties and microstructure. This invention, through this simulation method, can establish the correspondence between micromechanical properties and microstructure, helping to reveal the influence of irradiation defects on their micromechanical properties.

The invention discloses a method for constructing a finite discrete element model of a composite material based on a micrometer indentation test. The method comprises the following steps: S1, calculating the reduction modulus Er and hardness H of each indentation point representing the area according to a load-displacement curve obtained by the micrometer indentation test; s2, constructing a data matrix, dividing a weak-phase material, a middle-phase material and a strong-phase material according to micro-mechanical properties of the composite material, and then calculating an elastic parameter, a plastic parameter and brittleness of the phase according to an indentation curve based on a classification result of a K-means algorithm; s3, carrying out inversion calculation on the basis of the obtained materials of each phase to obtain an elastic parameter, a plastic parameter and a brittleness parameter of the microscale of each material of each phase, and constructing a micron indentation model of the single-phase material on the basis of the parameters; s4, constructing a micron indentation model of the large-size multi-phase material; and S5, completing the construction of the model. The method has the advantages that the simulation result is more practical, the precision is high, and the data reliability is high.

The invention relates to a method for measuring cohesive force and micromechanical parameters of a wax crystal flocculating constituent based on a microfluidic-CFD-DEM (Cyclic Frequency Division-Digital Elevation Model), which combines microfluidic experimental observation with CFD-DEM numerical simulation to quantitatively characterize the formation-crushing dynamic behavior of the wax crystal flocculating constituent. Microfluidic experiment observation is carried out through the wax crystal flocculating constituent dynamic behavior observation platform, and visual observation of the wax crystal flocculating constituent forming process and the breaking process under the fluid shearing effect is achieved. A mathematical model consistent with microfluidic experiment conditions is constructed in the CFD-DEM, and a dynamic crushing process of a flocculating constituent in a shear flow field is calculated and simulated through bidirectional fluid-solid coupling; and comparing the simulated crushing result with microfluidic experiment observation data, and when the relative error between the simulated crushing result and the microfluidic experiment observation data is smaller than a certain value, accurately measuring the cohesive force and the micromechanical parameters of the wax crystal flocculating constituent. According to the device and the method, accurate measurement of the cohesion and micromechanical parameters of the wax crystal flocculating constituent through inversion of experimental phenomena is realized.

This invention discloses a flexible perovskite solar cell module and its discontinuous laser interconnection process. Addressing the problem that continuous P2 scribing lines in existing flexible modules easily induce stress concentration and crack propagation, a discontinuous, dashed P2 interconnection structure is proposed. This structure consists of alternating "conducting segments" and "bridging segments" along the current transmission direction. The conducting segments achieve ohmic contact between the metal electrode and the transparent conductive layer; the bridging segments retain a complete and continuous photoelectric functional layer film, acting as micromechanical reinforcements to prevent crack propagation along the longitudinal direction of the scribing grooves. By controlling the laser scanning path and shutter timing, alternating conducting and bridging segments are formed. This significantly improves the module's bending resistance without increasing the dead area of ​​the module.

The invention provides a bamboo fiber bundle and parenchyma tissue separation method, and belongs to the technical field of bamboo wood processing. The method comprises the steps that firstly, bamboo blocks are soaked to be in a saturated state, bamboo slices with the thickness of 45-90 microns are cut out along textures, and the bamboo slices are kept wet; then, the wet sheet is tightly attached to a smooth plane and dried at the normal pressure of 80-120 DEG C or the vacuum temperature of 45-70 DEG C, and cracks capable of being used for separation are generated along the texture of the sheet through constraint shrinkage stress; physically stripping the fiber bundle from the thin-walled structure along the crack; finally, respectively wetting, fixing and slowly drying the fiber bundle sheets and the thin-walled tissue sheets to prepare complete fiber bundle sheets and thin-walled tissue sheets; according to the method, the interface directional cracking is induced through controlled drying, efficient and low-damage separation of the bamboo fiber bundles and the parenchyma tissue is achieved, and the problems that in the prior art, long fiber bundles and large-area parenchyma tissue slices cannot be obtained at the same time, the process is complex, and pollution is large are solved. The method is easy and convenient to operate, environmentally friendly and feasible, and the obtained product is high in integrity and suitable for the fields of spinning, composite materials, micromechanics research and the like.

The invention belongs to the technical field of material science foundation, and discloses a single twinborn system dominated twinborn transmission probability prediction method. According to the method, aiming at the condition that a single twin system is started preferentially under specific texture and force field conditions, the uniqueness of the twin system is limited and activated, and a three-dimensional matrix expression system of specific twin system spatial orientation is constructed. And based on a judgment rule that twin crystal faces and twin directions of the two crystal grains are parallel, calculating the minimum orientation difference capable of realizing parallel twin systems among the crystal grains. According to the method, the twinborn orientation difference is provided as a key physical quantity for quantifying the twinborn transmission capability, and the regulation and control mechanism of single twinborn system activation on local stress redistribution is disclosed by eliminating the interference of a non-activated twinborn system. The method is applicable to a twin-dominated deformation system at low temperature or high strain rate, and provides a micromechanical basis for optimizing strain coordination at the grain boundary.

The application belongs to the field of mechanical model research, and discloses a kind of composite solid propellant five-phase mesoscopic model establishing method and system, based on the method of micromechanics, the five-phase micromechanics model of composite solid propellant is established, and the effective elastic modulus of multiphase inclusion composite solid propellant is solved.First, on the basis of the original four-phase model of composite material, the liquid film thickness concept of propellant is introduced, and combined with the step-by-step doping method of multiphase composite material, it is developed into a four-phase model suitable for composite solid propellant.The application adopts two-step correction method, the first step is to add the interface phase in the model again, forming a five-phase mechanical model;The second step is to introduce discontinuity condition at the interface phase.Two-step correction method makes the composite model can clearly give the influence of two different interfaces in the propellant, and finally gives the analytical solution of the effective elastic modulus of the five-phase mechanical model.

The invention relates to a triaxial compression numerical simulation method for heterogeneous stratified rock. The method comprises the following steps: S1, establishing a rock numerical model; s2, establishing different bedding inclination angle models; s3, generating contact among the particles; s4, generating contacts of different groups; step S5, generating a random number parameter obeying Weber distribution; s6, respectively generating parameter models obeying Weber distribution for rock matrix-rock matrix contact, bedding-bedding contact, rock-bedding contact, rock-wall body contact and bedding-wall body contact in the step S4 by using the micro-mechanical parameters obeying Weber distribution generated in the step S5; and S7, carrying out simulated damage on the parameter model established in the step S6. The method has both flexibility and expansibility, and finer simulation can be realized by adjusting the shape and distribution parameters of the particles when different types of rocks or different loading conditions are processed.

The present invention belongs to the technical field of oil and gas resource exploration and discloses a classification method, system, medium, equipment, and terminal for fine-grained sedimentary particles. Based on multi-scale, multi-field scanning electron microscopy identification technology, the microstructural images of fine-grained sedimentary rocks are spliced ​​and identified using FE-SEM. The identified images are then grayscale processed using ImageJ software to determine the microstructural characteristic parameters of the fine-grained sedimentary particles. Nanoindentation experiments are used to measure the micromechanical properties of the fine-grained sedimentary particles, including hardness and elastic modulus. A five-unit characterization method is constructed using particle size, flatness, angularity, elastic modulus, and hardness to determine the characteristics of the fine-grained sedimentary particles. Based on the principle of the five basic properties of fine-grained sedimentary particles, the combination types of fine-grained sedimentary particles are classified. The novel image analysis technology of the present invention is more comprehensive and intuitive than local observation under a scanning electron microscope, providing new ideas for quantitative characterization and qualitative analysis of microstructures.

The application discloses a numerical simulation method for predicting the bearing capacity of an irradiated concrete structure, and comprises the following steps: a neutron flux distribution model in a reactor is established by using a Monte Carlo method, and a three-dimensional neutron radiation field inside a concrete shielding structure is calculated; a random distribution aggregate-mortar micromechanics model is generated based on a Fuller grading algorithm, and an interference discrimination method is used to ensure that the aggregate space is not overlapped; a mapping relationship between neutron flux data and elastic modulus degradation is established, and neutron irradiation expansion and thermal expansion effects are coupled through an equivalent thermal expansion theory; node coordinate parameters are dynamically converted in finite element analysis, a neutron flux threshold is matched according to a preset space condition, and a corresponding elastic modulus degradation coefficient is returned; and comparison data of stress fields and displacement fields of the structure before and after irradiation are output. The application can accurately match the degradation requirements of complex geometric shapes through joint judgment of polar coordinates and three-dimensional space.

The invention discloses a carbonate rock cross-scale mechanical property characterization method. The carbonate rock cross-scale mechanical property characterization method comprises the following steps: S1, basic physical property characterization; s2, processing a carbonate rock micromechanics experiment sample; s3, scanning electron microscope observation and microcosmic mineral identification; s4, correcting the area function of the needle tip of the pressing needle; s5, testing the micromechanical property of the carbonate rock mineral; s6, carrying out data arrangement on the micro-mechanical properties and the composition proportion; and S7, constructing a mechanical upscaling model and calculating macromechanical properties. According to the method, main mineral types in carbonate rocks are identified by utilizing a scanning electron microscope and energy spectrum analysis on a microscopic scale, and then the mechanical properties of different minerals are quantitatively represented by utilizing quasi-static nanoindentations. On the basis, mineral composition proportion information and porosity data are synthesized, an upscaling model of the mechanical property is constructed, and cross-scale prediction and evaluation of the macroscopic mechanical property of the carbonate rock are achieved.

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