46 results about "Micromechanics" patented technology

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 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.

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.

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 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.

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 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 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.

An integrated process-structure-property modeling framework for design optimization and / or performance prediction of a material system includes a powder spreading model using a discrete element method (DEM) to generate a powder bed; a thermal-fluid flow model of the powder melting process to predict voids and temperature profile; a cellular automaton (CA) model to simulate grain growth based on the temperature profile; and a reduced-order micromechanics model to predict mechanical properties and fatigue resistance of resultant structures by resolving the voids and grains.

This invention relates to the field of automated control technology for textile machinery, and more specifically, to a winding control system and method for processing biodegradable protective clothing fabrics. It addresses the problem that existing biodegradable protective clothing fabric processing technologies often rely on single temperature models or offline detection for state assessment, lacking real-time inversion capabilities for the multi-physics coupling effects of temperature, humidity, and stress, making it difficult to quantify micromechanical evolution and capture the spatial heterogeneity and abrupt change risks of local health. This invention constructs a mechanism-driven, spatiotemporal coupled, and dynamic early warning assessment system through a fabric degradation state calculation module. It introduces the Arrhenius wet stress coupling model, overcoming the limitations of a single temperature model, accurately inverting the true degradation rate and mapping the micromechanical state. It uniquely integrates the rate of change acceleration and the vulnerability coefficient of spatial inhomogeneity to quantify dynamic trends and capture heterogeneous risks, solving the problem of monitoring local weaknesses and accelerated abrupt changes.

The application provides a HEA-Cr3C2-based composite coating for a screw drill motor rotor and a preparation method and application thereof. The composite coating comprises an AlSi-HEA gradient structure primer layer and an HEA-Cr3C2 protective coating. The total thickness of the HEA-Cr3C2 protective coating is 200-300 microns. The HEA-Cr3C2 protective coating is formed by using HEA-Cr3C2 composite powder as raw material, and then performing a thermal spraying process, vacuum heat treatment and remelting treatment, and finally forming a double structure of an HEA-Cr3C2 vacuum heat treatment layer and an HEA-Cr3C2 remelting layer on the surface of the AlSi-HEA gradient structure primer layer. In the vacuum heat treatment process, the HEA-Cr3C2 protective coating and the AlSi-HEA gradient structure primer layer can form a metallurgical bond, thereby improving the bonding strength of the coating and the substrate. The HEA-Cr3C2 vacuum heat treatment layer is used to improve the internal structure distribution and micro mechanical properties of the coating, thereby improving the mechanical properties and wear resistance of the composite coating. The HEA-Cr3C2 remelting layer is used to eliminate the micro pores or cracks of the coating, thereby enhancing the corrosion resistance of the composite coating. The coating provided by the application can effectively improve the reliability and stability of the screw drill motor rotor in different working conditions.

The invention discloses a construction method of a sintered nano-silver constitutive model based on a nanoindentation test. The construction method comprises the following steps: preparing a sintered nano-silver sample; carrying out a nanoindentation experiment at different loading rates, and recording a load-displacement curve; establishing a unified creep-plasticity constitutive model; establishing a finite element model, embedding the constitutive model into the finite element model through a user-defined material subprogram, simulating the nanoindentation process at different loading rates, and recording a load-displacement curve; and comparing and analyzing the obtained load-displacement curve, and verifying the accuracy of the model. According to the method, by accurately describing the mechanical behaviors of the sintered nano-silver at different loading rates, the data blank of the mechanical properties of the sintered nano-silver at a high loading rate is filled, and the constitutive model capable of capturing the micro-mechanical behaviors of the sintered nano-silver is established; and an effective simulation means and theoretical support are provided for reliability evaluation of the electronic packaging material.

The present application relates to a kind of micro-nano indentation contact area deformation test method and device, belong to material microscopic mechanical property testing technical field, its surface to be tested sample is coated with speckle, and directly contact with speckle is used to transparent indenter, the nanometer speckle between indenter and sample is observed by optical microscope, the three-dimensional deformation behavior information of contact area in the process of micro-nano indentation test is obtained, the phenomenon such as crack, extrusion, slip band generation in the existing micro-nano indentation test can be in-situ characterization, and the three-dimensional process model of the deformation behavior of material under indenter is constructed, the method is strong in operability, solve the problem that existing in-situ observation means cannot directly characterize the deformation of contact area in the process of block sample indentation test, improve the understanding of the micro-nano contact mechanical behavior of various materials.

The invention provides a gradient sand-embedded intelligent composite rib and a preparation method thereof. The gradient sand-embedded intelligent composite rib is used for solving the problem that an existing intelligent rib cannot give consideration to both excellent static bond-wrapping performance and signal stability under a dynamic load. Comprising a sensing core rod and a metal profile sleeved outside the sensing core rod, a gradient sand-embedded functional layer is filled between the sensing core rod and the metal profile, the gradient sand-embedded functional layer is formed by fixing at least two kinds of hard particles with different average particle sizes through a polymer binder, and the particle sizes of the hard particles are distributed in a gradient decreasing mode from the inner wall of the metal profile to the sensing core rod in the radial direction; an auxiliary mechanical locking structure is arranged between the metal profile and the gradient sand-embedded functional layer; and a stress release structure is arranged in the gradient sand-embedded functional layer. The gradient sand-embedded interface and the auxiliary mechanical locking are combined, a stress release structure is introduced, and excellent static bond-wrapping performance, fatigue resistance and dynamic signal fidelity are achieved on the micromechanics level.

This invention discloses a method and system for constructing a five-phase microstructure model of three-dimensional random convex polyhedral recycled concrete, belonging to the field of numerical simulation technology of micromechanics of building materials. The method includes: parameterizing the computational domain, aggregate gradation, and five-phase microstructure parameters; generating a uniformly distributed vertex set on a unit sphere based on equivalent particle size and applying random perturbation, then generating a natural aggregate core geometry through convex hull operation; employing vertex homotopy shrinkage mapping technology, scaling radially proportionally with the core as a reference to generate outer boundary geometries of the old interface transition zone, old mortar, and new interface transition zone sharing the same face index set as the core, ensuring complete consistency in the topology of the four-phase geometries; using a two-level collision detection strategy combining coarse screening with the separating axis theorem for high-density random placement based on the outer boundary geometry of the new interface transition zone; and merging and exporting the geometric data of the same medium into an STL solid model file. This invention achieves automatic interface mesh matching for five-phase structure construction, solving the problem of mesh matching in multi-layer interface modeling, improving modeling efficiency by 1-2 orders of magnitude, and providing a highly realistic, accurate, and efficient modeling scheme for refined numerical simulation of recycled concrete.

This invention discloses an array-type single-stroke synchronous pressing device for micro / nano impact pressing testing, belonging to the field of material micromechanical property testing technology. The invention includes a multi-stage driven impact pressing unit, an array-type synchronous pressing unit, an optical-infrared in-situ monitoring unit, and a high-temperature loading unit. Multiple driving elements work together to propel the array-type indenter at high speed and apply high-temperature loading conditions, constructing a complex force-thermal coupling loading condition. The multi-stage driven impact pressing unit uses three sets of piezoelectric ceramics to collaboratively drive the indenter to impact the sample at high speed. The array-type synchronous pressing unit uses nine sets of force sensors and an array of indenters to simultaneously acquire the performance of the sample's test area. This invention can perform micro / nano impact pressing tests on materials at high temperatures and can simultaneously apply nine sets of axial pressures to the sample, acquiring the evolution of the point array mechanical properties of the material under complex force-thermal coupling conditions during impact pressing in a single stroke.

The invention belongs to the technical field of composite material residual stress prediction, and discloses a composite material micro residual stress multi-scale prediction method and related equipment, which are used for realizing composite material micro residual stress multi-scale prediction by fusing a full-connection neural network and a micro mechanical method. The method effectively solves the problems that a traditional multi-scale finite element analysis method is high in calculation cost and large in repeated calculation amount and cannot meet the requirement for rapid iterative optimization of process parameters, couples a pre-trained FCNN model with a macroscopic finite element model, constructs physical constraints by means of a micromechanical mechanism, and effectively solves the problems that the calculation cost is high, the repeated calculation amount is large and the requirement for rapid iterative optimization of the process parameters cannot be met. The mapping from the instantaneous elastic modulus of the resin to the microcosmic influence coefficient matrix is quickly realized through the FCNN model, a microcosmic solver does not need to be repeatedly called, and the prediction efficiency of the microcosmic residual stress of the composite material is greatly improved on the basis of following the micromechanics law and ensuring the prediction precision of the residual stress. And rapid prediction of microscopic full-field curing residual stress under complex working conditions can be realized.

This invention relates to the field of marine geotechnical engineering technology, and provides a method and system for monitoring the shear state of calcareous sand based on acoustic emission centroid frequency. The method includes conducting a ring shear test on the calcareous sand to obtain the shear stress-shear displacement curve during the shearing process; attaching an acoustic emission sensor to the loading plate of the ring shear tester and using an acoustic emission monitoring system to collect acoustic emission signals during the shearing process; performing impact detection on the acoustic emission signals and extracting the waveforms of the impact signals; calculating the average centroid frequency of all impact waveforms within each preset time period; and based on the change in the average centroid frequency, analyzing the micromechanical mechanism of shearing in the calcareous sand and providing early warning of shear zone development and failure. This method can monitor the shear state of calcareous sand throughout the entire process and can be used for early warning of shear failure in calcareous sand foundations and other sandy soil materials in marine engineering.

The invention relates to a combined experiment method for improving ECC performance test success probability, and belongs to the technical field of civil engineering material test and design. Aiming at the problems of low trial and error efficiency, large discreteness of experimental results and the like in the research and development of the existing high-strength and ultrahigh-ductility engineering cementitious composites (ECC), the invention provides a closed-loop experimental system based on the combination of micromechanics matching screening and macroscopic accurate verification. The method mainly comprises two stages: in a screening stage (step 1), respectively through a pure matrix three-point bending experiment and a single fiber bundle drawing experiment, acquiring matrix fracture toughness and interface bonding strength parameters, verifying an energy matching relationship according to a micromechanics criterion, if the energy matching relationship is not matched, feeding back and guiding fiber modification or matrix adjustment, and if the energy matching relationship is not matched, feeding back and guiding the interface bonding strength parameters; reverse design and pre-screening of the mix proportion are realized; in the verification stage (step 2), a special dumbbell test piece designed with a specific long scale distance (80mm effective observation area) is adopted to perform a uniaxial tensile test on the all-component material meeting the matching requirement, and end damage interference is avoided. By applying the method, the research and development period can be shortened by 40% or above, the high-performance ECC with the compressive strength larger than 135 MPa, the tensile strength larger than 10.0 MPa and the tensile strain capacity of 10%-12% is successfully guided, prepared and verified, and the test success rate and the data authenticity are remarkably improved.

The application provides a kind of composite material curing process mechanics performance time-varying characteristic characterization method and device, the method comprises the following steps: step one: obtaining the reaction enthalpy released by unit mass of the measured prepreg complete curing;Step two: obtain a plurality of compression samples and DSC samples;Step three: using composite material repair instrument simultaneously to cure compression sample and DSC sample, terminate curing process at different preset time for each group of samples, and record the temperature T of each group of samples at the time of curing termination;Step four: for each group of samples, the compression modulus of compression sample after step three at corresponding temperature T is measured by using mechanical testing machine, and the curing degree of DSC sample after step three is obtained;Step five: according to a plurality of curing degrees and compression modulus, the modulus of resin under different curing degrees is obtained by using self-consistent field micromechanics model, and then the mechanics performance time-varying characteristic of composite material curing process can be obtained.The application fully combines the characteristics of composite material repair instrument, which can terminate the curing process of composite material safely and controllably at any time, the mechanical properties in the thickness direction of composite material, and the easy implementation of compression test, solves the problems of difficult processing of mechanical samples of composite material under different curing degrees and different temperatures, difficult measurement of mechanical properties, and realizes the accurate measurement of the mechanics performance time-varying characteristic of composite material.

The application discloses a kind of axial tensile and compression carbon nanotube / polymer composite material strain sensor sensitivity prediction method.The method is based on the electromechanical coupling microstructure theory in micromechanics, while the influence of carbon nanotube volume concentration, axial tensile, compression strain and the tunneling distance between adjacent carbon nanotubes on the mechanical properties and electrical properties of carbon nanotube / polymer composite material is investigated, and the resistance change ratio and strain sensitivity coefficient of carbon nanotube / polymer composite material strain sensor are quantitatively calculated, which has high fitting degree with actual test results.The method designs the corresponding calculation process from the microcosmic angle, fully embodies the nonlinear relationship between resistance change ratio and strain in the axial tension and compression range, greatly simplifies the design process of high-sensitivity strain sensor, and has important guiding significance for large-scale production of high-sensitivity strain sensor.

The application discloses a TATB / fluorine rubber interface micromechanics behavior test method. By performing interface mechanics behavior research on PBXs with different structural adhesive components, the relative change of the interface stress of the PBXs can be obtained. The method has high precision, can simultaneously obtain stress-strain change analysis, and can realize measurement of the force (displacement) load of the sample and collection of Raman spectrum while a small tensile force is applied to the PBX sample. The method is a new test method for evaluating the micro morphology and interface mechanics of energetic materials.

The invention discloses a liquid metal cement composite material proportion determination method and system, and is applied to the technical field of composite material manufacturing, and the method comprises the steps: obtaining a plurality of key parameters and parameter ranges corresponding to a liquid metal component and a cement matrix to obtain a key parameter set; performing multi-target performance simulation to obtain a plurality of candidate key parameter combinations; calculating a stress concentration factor of each candidate key parameter combination; determining the candidate key parameter combination corresponding to the minimum stress concentration factor as an initial composite material proportioning scheme; when the minimum stress concentration factor is lower than a preset safety threshold value, determining the initial composite material proportioning scheme as a final composite material proportioning scheme; and when the minimum stress concentration factor is not lower than a preset safety threshold value, adjusting the candidate key parameter combination until the obtained stress concentration factor is lower than the preset safety threshold value. According to the method, the accuracy of the ratio of the composite material is effectively improved by fusing performance prediction and micromechanical analysis.