1356 results about "Elastic modulus" patented technology

The invention relates to the technical field of bolt tightening, and provides an intelligent bolt tightening control method and system based on axial force measurement. Comprising the steps of collecting bolt identification and process parameter data, collecting temperature measurement data, and obtaining sound velocity compensation parameters and elastic modulus compensation parameters. And zero-load preloading data are collected and processed to generate zero-load baseline data, and a self-calibration model is obtained. Axial force data and ultrasonic echo data are collected, and an axial force fusion estimation result is obtained. And comparing an axial force fusion estimation result with target axial force data. And when in the target interval, fine twisting control is carried out based on model predictive control and a micro-stepping strategy, and the controllable damping unit is driven to carry out energy absorption and stopping. And acquiring an axial force fusion estimation result when the target axial force is reached, processing the data in the holding stage to obtain an axial force rebound check result, and if the axial force rebound check result exceeds the limit, performing secondary twisting control. According to the scheme, refinement and traceability of the bolt tightening process are achieved.

The invention relates to the field of geological exploration and geotechnical engineering, provides a rock mass dynamic mechanical parameter sensing method and system based on while-drilling parameters in order to dynamically obtain rock mass dynamic mechanical parameter characteristics in situ in real time in the drilling process, and provides a rock mass dynamic mechanical parameter sensing method and system based on while-drilling parameters by using multi-modal signals such as vibration, acoustic emission, torque and bit pressure through uniform characteristic engineering and multi-task learning. The instantaneous elastic modulus, the dynamic Poisson's ratio, the transient uniaxial compressive strength, the cohesive force and the internal friction angle can be synchronously and dynamically predicted in single drilling, and the limitation that only a single static parameter is estimated in a traditional method is broken through; a rock mass dynamic mechanical parameter acquisition model constructed on the basis of a multi-modal adaptive graph attention sequential network can effectively couple the physical proximity and the statistical association relationship of a sensor, and integrates expansion sequential convolution and a time perception Transform module, so that the characterization capability of emergencies (such as jamming / friction resistance) and long-term trends is considered on the premise of low time delay; therefore, the prediction accuracy is improved.

The invention discloses a concrete arch dam global structural mechanical parameter zoning rapid inversion method, and relates to the technical field of dam operation safety monitoring and management, and the method comprises the steps: building a dam body and foundation three-dimensional finite element model through finite element software according to engineering design and monitoring data, and building a foundation three-dimensional finite element model according to damming material mechanical parameter information; partitioning the three-dimensional finite element model, analyzing the sensitivity of mechanical parameters of each region, determining sensitive mechanical parameters influencing the deformation of the concrete arch dam, and carrying out self-adaptive intelligent sampling on the sensitive mechanical parameters according to a sensitivity analysis result, and constructing a deep learning agent model reflecting a nonlinear relationship between the sensitive mechanical parameters of the dam and the deformation of each monitoring point, and carrying out deep learning inversion on the elastic modulus of the dam body and the deformation modulus of the bedrock. According to the invention, the method can efficiently and accurately invert and determine the structural mechanical parameters of the arch dam in the actual operation period, and provides a good basis for the safety analysis of the dam.

The application provides a kind of fast curing acrylic glue and application, the fast curing acrylic glue is prepared from the following components according to weight parts: butyl nitrile rubber of terminal methacrylate is 13-17 parts;Polyurethane acrylate is 5-8 parts;Monofunctional acrylate monomer is 14-20 parts;Two functionality acrylate monomer is 7-13 parts;Three functionality acrylate monomer is 1-3 parts;Peroxide is 0.5-1.5 parts;Polymerization inhibitor is 0.01-0.04 parts;Coupling agent is 0.5-0.7 parts.The acrylic glue provided by the application has the advantages of fast curing, low volume resistivity after adding silver powder curing, good bonding strength, moderate elastic modulus, and can be used for photovoltaic tile conductive silver glue.

The invention relates to a defect detection method and system based on multi-modal feature fusion. The method comprises the following steps: acquiring multi-modal data of a transformer; predicting based on the multi-modal data through the fusion prediction model, and outputting an elastic modulus distribution diagram of the insulating material in the transformer; carrying out super-resolution enhancement on the elastic modulus distribution diagram based on a physical constraint diffusion model; and positioning the defects of the transformer through a time reversal algorithm on the basis of the internal Young modulus distribution and the super-resolution elastic modulus distribution diagram of the transformer. According to the invention, the problems of feature loss, large single modal error, fuzzy fractal defect reconstruction, insufficient defect positioning precision and the like caused by signal attenuation in traditional detection are solved. According to the method, the signal-to-noise ratio and modulus distribution prediction precision of the signal is remarkably improved, micron-order super-resolution reconstruction is achieved, winding deformation and insulation layering are accurately distinguished, harm is quantified, traditional imaging limitation is overcome, and a high-precision and physically consistent basis is provided for transformer state evaluation and maintenance.

The invention relates to the technical field of bearing life calculation, in particular to a transmission bearing installation pre-tightening amount calculation method and system, and the method comprises the steps: S1, building a finite element mesh model of a transmission housing and a shaft through finite element simulation software based on predefined material attributes; the material attributes comprise elastic modulus, Poisson's ratio and thermal expansion coefficient of the transmission shell and the shaft; s2, based on the actual working condition of transmission assembly life simulation analysis, importing the finite element mesh model of the transmission shell and the shaft into a pre-constructed multi-body dynamics simulation model of the transmission shell, and establishing node connection between the finite element mesh model of the transmission shell and the shaft and a transmission part in the multi-body dynamics simulation model; s3, setting a detection object and a design variable, and adopting a preset strategy to obtain a target mapping curve of the detection object and the design variable; compared with the prior art, the optimal relation between the pre-tightening amount and the service life of the bearing can be quickly determined, so that the service life of the bearing is maximized.

The invention discloses a constant-tension self-compensation coating method and an intelligent deviation adjusting method, and belongs to the technical field of material dynamic characteristic on-line testing and cooperative control, and the constant-tension self-compensation coating method comprises the following steps: obtaining stress distribution data of the surface of a coating base material, generating a multi-mode optical data set, analyzing a real-time tension estimated value and material dynamic characteristic parameters, and obtaining a multi-mode optical data set; wherein the dynamic characteristic parameters of the material comprise an equivalent elastic modulus and a surface friction coefficient; generating a dynamic coupling coefficient based on the real-time tension estimation value and the dynamic characteristic parameters of the material, performing analysis and calculation, and outputting a tension compensation control quantity and a deviation adjustment control quantity; and the tension compensation control quantity is executed to adjust the unwinding or winding torque, and meanwhile, the deviation adjusting control quantity is executed to adjust the angle of a deviation correcting guide roller. According to the method, the dynamic characteristics of the material are analyzed in real time by adopting multi-mode optical perception, and the tension deviation coupling model is constructed, so that interference advanced cooperative inhibition and working condition self-adaptive stable coating can be realized.

The application belongs to the technical field of magnesium alloy and provides a low anisotropy magnesium alloy, which comprises the following raw materials in percentage by mass: Gd 5.80-7.20 wt%, Y 0.02-2.00 wt%, Zr 0.30-0.60 wt%, Zn 0-0.60 wt%, Mn 0-0.10 wt%, Sb 0.02-0.3 wt%, Sr 0.02-0.05 wt%, Sn 0.04-0.1 wt%, and the balance being magnesium. The application also provides a method for preparing large structural parts in a short process. The application utilizes the atomic misplacement and the difference in elastic modulus between the matrix and the Gd and Y elements to improve the mechanical properties, thereby ensuring the basic performance indicators of the alloy system, and utilizes the combined action of rare earth elements and precise control of the forming process to realize the short process preparation of large structural parts.

The invention relates to the technical field of intelligent manufacturing and precision machining, and discloses a skylight guide rail clamp clamping force intelligent regulation and control method and system.The skylight guide rail clamp clamping force intelligent regulation and control method comprises the steps that multi-dimensional sensing data of a skylight guide rail clamp is obtained and preprocessed; acquiring a force displacement data pair and identifying a flexibility coefficient of the guide rail; the elasticity modulus is inversely calculated through the flexibility coefficient, and temperature correction is carried out; calculating theoretical stress distribution and a displacement field, and fusing and correcting the theoretical stress distribution and the displacement field with measured data of the sensor; evaluating stress safety, deformation stability and vibration stability; the current clamping force distribution is adjusted; the clamping force adjustment amount is calculated and converted into a control instruction for adjustment, the guide rail is machined, and quality detection is conducted; updating the quality prediction model, predicting tool wear and calculating compensation; according to the invention, through an online learning and adaptive optimization mechanism, the system can continuously learn and evolve and automatically adapt to changes of production conditions.

The invention relates to the technical field of rock mechanics and deep stratum reconstruction engineering, and discloses a method for determining a roof rock stratum fracturing horizon based on multi-scale rock mechanics characterization, and the method comprises the following steps: firstly, obtaining drilling cuttings to prepare a nanoindentation test piece, and carrying out gridding dotting test and mineral scanning; secondly, calculating micromechanical parameters such as reduction modulus, fracture toughness, elastic index and plastic work ratio based on test data; constructing a macroscopic mechanical model by utilizing the microscopic parameters and the mineral distribution characteristics to carry out numerical simulation to obtain a macroscopic elastic modulus and uniaxial compressive strength; and finally, performing normalization and weighting processing on macro and micro parameters, constructing a comprehensive compressibility index and a comprehensive brittleness index, and optimizing a target fracturing layer position and a perforation position according to the comprehensive compressibility index and the comprehensive brittleness index. According to the method, cross-scale coupling of microscopic component attributes and macromechanical response is achieved, the problem of parameter acquisition caused by heterogeneity of deep rock strata is solved, the limitation of single-scale evaluation is overcome, and the fracture horizon identification precision and the engineering success rate are improved.

The invention relates to the technical field of machining simulation, in particular to a composite material ring piece low-stress machining method based on finite element analysis. The method comprises the following steps: constructing a two-dimensional finite element model of the composite material ring piece; grid division is carried out on the geometric model, and the structure is decomposed into units; setting boundary conditions and loads of the simulation model; defining material attributes including density, thermal conductivity, specific hot melting, elastic modulus, Poisson's ratio, plasticity and creep; setting processing and heat treatment parameters, including processing procedures, processing amount, heat treatment temperature and time; the simulation model is operated, and the response of the geometric model under the given boundary and loading condition is obtained; and analyzing an operation result, summarizing an influence rule of machining parameters and heat treatment setting on machining stress, and optimizing a machining scheme. According to the method, a stable component low-stress machining scheme can be rapidly obtained through an analogue simulation technology for the machining process of the composite material ring piece, and high-precision machining of the large-size fiber reinforced composite material ring piece is achieved.

The invention discloses a novel structure construction method using a gradient triple-period minimal surface lattice. The novel structure construction method comprises the following steps: defining a mathematical relationship of an entity part of a TPMS lattice according to a selected scene; the standard TPMS lattice in the original cube is deformed and matched into the pyramid space, a transition structure is formed, and a final TPMS distortion structure is output; connecting the upper-layer small unit lattices with the lower-layer large unit lattices by the TPMS twisted structure to generate gradient lattices without geometric defects; the gradient between different unit numbers is controlled by controlling the size of the top plane of the pyramid; the size of the transition area is adjusted, the transformation completion distance of the substructure is changed, and then the elastic modulus is adjusted and controlled; the number of layers of the base structure in the transition area is increased, and the buffering distance of structure transformation is prolonged. The problems that in the prior art, a gradient lattice transition area has geometric defects, the adjustable range of elastic modulus is small, and stress is concentrated are solved, and the stability and durability of the structure are improved.

The invention relates to the technical field of structural design of hydraulic structures, and particularly discloses a method, a system and a terminal for determining a combined lining of a high-pressure water delivery tunnel. In the establishment process of a numerical calculation model of the combined lining, a composite drainage plate is equivalent to a uniform isotropic entity medium with the thickness of d; the mechanical property of the composite drainage plate is represented by adopting a comprehensive elastic modulus E, the structural stress of the composite drainage plate and the water pressure bearing ratio in the steel pipe are restrained through a steel pipe allowable stress control threshold value, a pipe piece crack resistance allowable stress control threshold value and a steel pipe bearing ratio control threshold value, and finally the d / E value range of the composite drainage plate is determined. Through the mode, a scientific and clear basis is provided for the value of the composite drainage d / E in the combined lining, the problem that the value is obtained depending on experience at the present stage is solved, and the subjectivity of manual selection is avoided.

The invention discloses a plastic concrete performance index evaluation method and a proportion optimization method, the plastic concrete performance index and the following factors influencing the index are determined: concrete component characteristics, component proportion, process parameters and environmental conditions, and the environmental conditions comprise environmental temperature, maintenance mode and environmental erosion condition; constructing a plastic concrete performance evaluation polynomial model reflecting the relationship between the performance indexes and the multiple influence factors; determining the value range of the influence factors, planning a test scheme, preparing a concrete sample block by adopting the admixture with the gradient grading structure, and measuring the plastic concrete performance index of the concrete sample block; fitting coefficients and constants in the plastic concrete performance evaluation polynomial model based on the measured values; based on the fitting degree, selecting an optimal group of coefficients and constants; and evaluating the performance indexes of the plastic concrete by adopting the fitted model. According to the method, the strength and the elastic modulus of the plastic concrete can be predicted, and the performance target can be collaboratively optimized.

This invention discloses a quantitative evaluation method for the homogeneity of lightweight aggregate concrete based on rapid ultrasonic testing, belonging to the field of engineering materials testing technology. The method includes: S1, obtaining the shear wave velocity and longitudinal wave velocity at multiple test points of a series of lightweight aggregate concrete reference specimens; S2, calculating the shear modulus and bulk modulus at each test point of each reference specimen; S3, calculating the elastic modulus at each test point of each reference specimen; S4, constructing a relationship between the lightweight aggregate volume content, shear wave velocity, and longitudinal wave velocity based on the elastic modulus obtained in step S3; S5, obtaining the shear wave velocity and longitudinal wave velocity at each test point of the specimen to be tested, and calculating the lightweight aggregate volume content at each test point of the specimen to be tested based on the relationship; S6, evaluating the homogeneity of the specimen to be tested based on the lightweight aggregate volume content calculated in step S5. This invention solves the technical problem of insufficient accuracy in ultrasonic testing results for the homogeneity of lightweight aggregate concrete.

The invention discloses an ultra-high-speed motor bearing anti-deformation crown-shaped retainer and a manufacturing method, and belongs to the technical field of motor bearings. The super-high-speed motor bearing anti-deformation crown-shaped retainer is formed by printing functionally graded materials, the functionally graded materials comprise a hard-phase material and a soft-phase material, the hard-phase material is glass fibers, and the soft-phase material is nylon 66; the equivalent elastic modulus of the functionally graded material is continuously and gradually changed in the axial direction from the bottom of the pocket to the tail end of the lock claw, so that the elastic modulus of the bottom area of the pocket is higher than that of the tail end area of the lock claw, and elliptical deformation of the pocket and centrifugal deformation of the lock claw are cooperatively restrained. And active reconstruction of a rigidity field of the crown-shaped retainer is achieved, specifically, a tough phase is constructed in a locking claw area to absorb collision energy, a strengthening phase is formed in a pocket area to weaken stress concentration, a rigidity gradient is established at a connecting part to restrain the umbrella-shaped effect, and the crown-shaped retainer with the high toughness-gradient-high strength characteristics and the design method of the crown-shaped retainer are provided.

The present application is suitable for oil and gas geophysical exploration field, and provides a shale solid skeleton and organic matter elastic parameter synchronous prediction method, the method comprises the following steps: constructing a petrophysical model representing the elastic modulus of shale reservoir solid skeleton and the elastic modulus of organic matter; developing an inversion method in the well based on the petrophysical model; combining the petrophysical model and the scattering function theory, establishing a reflection coefficient formula linearly characterized by the elastic modulus of shale solid skeleton, the elastic modulus of organic matter and the density parameter; combining the reflection coefficient formula and the Bayesian linear inversion theory, developing a seismic petrophysical inversion method; applying synthetic seismic data, testing and verifying the effectiveness of the seismic petrophysical inversion method constructed in step E; then applied to actual seismic data, predicting the elastic modulus of shale gas reservoir solid skeleton and organic matter in the study area, providing an effective method for the brittleness evaluation of shale gas reservoir engineering sweet spot and the organic matter enrichment prediction of geological sweet spot.

The invention provides a stay wire tower stay cable vortex-induced vibration fatigue life prediction method and system, and relates to the technical field of power transmission line towers, and the method comprises the steps: obtaining sensing detection parameters corresponding to a to-be-detected stay wire tower; the sensing detection parameters comprise sag, sag maximum position stress, specific load, span, altitude difference angle, temperature expansion coefficient, elastic modulus and meteorological parameters; fusing tension data obtained through sensing detection parameters with tension data estimated through a structural mechanical model by adopting a Kalman filtering algorithm, and determining a tension time history of the stay wire structure within a preset time range, determining natural vibration frequencies of the stay wire structure at different moments within the preset time range by combining the wire length and the quality of the stay wire structure; and determining a target oscillation-starting wind speed range by using a first mapping relation between the natural vibration frequency and the oscillation-starting wind speed of the stay wire structure, and determining a life prediction result of the stay wire structure in combination with wind speed distribution and the number of fatigue cycles in the preset time range.

The invention discloses an intelligent control method of a numerical control dotting and ruling machine for mold machining, and particularly relates to the field of numerical control machining control. The method comprises the following steps: establishing a three-dimensional point cloud model containing surface microscopic curvature distribution and a local stress-strain relationship by acquiring a space geometric model and material physical parameters of a target mold workpiece; performing grid division on the point cloud model, extracting curvature features and local elastic modulus of each grid unit, and constructing a parameter matrix; in combination with the initial track of the preset tool path, modulating by adopting a self-adaptive control algorithm to generate a corrected path; in the machining process, a control vector is constructed based on the corrected path and the dotting depth and the scribing force which are fed back in real time, an execution mechanism is driven to conduct closed-loop control, and dynamic compensation of each dotting and scribing action is achieved; the method can effectively solve the problems of uneven dotting depth, lineation deformation and quick tool abrasion in the machining process of complex curved surfaces or high-strength materials, and the machining precision and stability are remarkably improved.

The invention provides a calculation method for the elastic modulus of a soil-rock mixture based on a mesoscopic structure model, relevant to the field of meso-numerical simulation of geotechnical materials. It includes the following steps: obtaining the gradation curve of soil-rock mixture particles through a screening test and constructing a two-dimensional random meso-structure model of the mixture with varying stone contents. Using the finite element method, a biaxial compression numerical test is conducted on the model under different stone contents and confining pressures. The equivalent elastic modulus of the mixture is determined by the corresponding secant elastic modulus at an axial strain of 1%. This macro-equivalent elastic modulus, considering stone content and confining pressure, is then fitted. This method effectively addresses the challenge of presenting accurate physical and mechanical parameters in engineering design and construction, making it directly applicable to practical engineering involving soil-rock mixture materials.

The invention is suitable for the technical field of geophysical exploration, and provides a rock physics-driven time-frequency domain longitudinal wave velocity dispersion attribute prediction method, which comprises the following steps of: establishing a rock physics model; under the driving of the rock physical model, inverting the porosity of the microfractures in the well, calculating the skeleton elastic modulus of the rock containing the fractures, and predicting a frequency-dependent longitudinal wave velocity logging curve; constructing a time-frequency domain longitudinal wave velocity seismic inversion initial model; constructing a TF-AVO theoretical formula, developing a time-frequency domain longitudinal wave velocity seismic inversion method based on an L-BFGS algorithm, and performing longitudinal wave velocity inversion by taking the initial model as prior information; analyzing the relative change of the frequency-varying longitudinal wave speed under different frequencies, and quantitatively predicting the frequency dispersion attribute of the longitudinal wave speed; and on the basis of logging data, calibrating a longitudinal wave velocity dispersion attribute prediction result, and carrying out reservoir oil and gas detection. The method has higher precision and resolution, the stability and reliability of longitudinal wave velocity dispersion attribute prediction are remarkably improved, and the dependence on strong amplitude response is overcome.

The invention discloses a method for testing compression performance through a testing machine, which comprises the following specific steps: placing a sample on the upper end surface of a compression main body, and enabling two end surfaces of the sample to be parallel; after the extensometer is fixed, the testing machine is reset, and the extensometer is reset; starting the testing machine for compression, synchronously acquiring sample load data and average deformation data on two sides by the extensometer, transmitting the data into the testing machine, generating a stress-strain curve by the testing machine, and reading the compression yield strength, the compression elastic modulus and the compression strength from the curve. The extensometers on the two sides are directly hung between the upper cover and the compression main body to form a closed symmetrical measurement chain, so that knife edges on the two sides are located in the same rigid frame, bending deformation is offset, the reading difference is reduced to one tenth of the original value, meanwhile, a load line and a measurement line coincide, a secondary force transmission path is avoided, and the measurement accuracy is improved. And the flexibility of the rack only affects the overall displacement without changing the relative deformation in the gauge length of the extensometer, so that the repeatability of the elastic modulus is remarkably improved.

A vibration damping member includes a foam having a first outer surface on which a plurality of protrusions are arranged and having an average elastic modulus in a compressive strain range of 0 to 30% being from 3 kPa to 27 kPa, inclusive.

The invention relates to the technical field of coal mining and rock mechanics numerical simulation, and discloses a stress field reconstruction method of a plane strain numerical simulation model for coal mining, and the method comprises the following steps: firstly, obtaining an actually measured vertical stress increment and an actually measured bearing pressure peak value position of a stope face; then, an initial plane strain numerical simulation model is constructed, the space error between the peak position of the simulated bearing pressure and the actual measurement position meets a preset threshold value by adjusting the excavation step pitch, and therefore the numerical simulation calculation state is locked to eliminate space-time dislocation; a simulation strain increment is extracted in a locked state, a theoretical vertical stress difference equation is constructed based on an elastic mechanics plane strain constitutive relation, and a parameter inversion equation set is established in combination with multi-measurement-point data; and solving the corrected elastic modulus and Poisson's ratio by using a least square optimization algorithm. According to the method, through physical state locking and incremental theory inversion, system errors are effectively eliminated, and the reconstruction precision and mechanical preciseness of the mining-induced stress field are improved.

The invention discloses a double-hole blasting stress wave superimposed effect regulation and control method based on a joint dip angle, which comprises the following steps: S1, carrying out geological exploration on a tunnel construction site, determining the joint dip angle alpha of a jointed rock mass, and simultaneously obtaining mechanical parameters of the rock mass and joints, the mechanical parameters at least comprise density, elasticity modulus, Poisson's ratio, compressive strength and tensile strength. According to the method, the influence of the joint dip angle on the double-hole blasting stress wave superposition effect is accurately controlled, parameter optimization is combined, the forming quality and safety of jointed rock tunnel blasting are effectively improved, and the method has good engineering application value.

Provided is a curing reactive organopolysiloxane composition that forms a pressure-sensitive adhesive layer having a high shear storage elastic modulus and stress at 500% strain and having excellent adhesive strength. The organopolysiloxane composition comprises: (A) a chain organopolysiloxane having an alkenyl group; (B) an organopolysiloxane resin having 9 mol % or less of hydroxyl groups and the like, and being a mixture of (b1) an organopolysiloxane resin having a (Mw) of 4500 or more and (b2) an organopolysiloxane resin having a (Mw) of less than 4500; (C) an organohydrogenpolysiloxane; and (D) a hydrosilylation reaction catalyst. A mass ratio of a resin component to a chain siloxane component is within a range of 1.4 to 3.0 A pressure-sensitive adhesive layer obtained by curing the composition has a shear storage elastic modulus G′ at 25° C. of 3.5 MPa or more, and a stress at 500% strain of 0.25 MPa or more.

The present invention relates to a polishing pad including a polishing layer and a cushion layer, wherein a ratio E′B40 / E′C40 of a storage elastic modulus at 40° C. in dynamic viscoelasticity measurement performed under a bending mode condition with a dry state, a frequency of 10 rad / s, and 20 to 100° C., E′B40, to a storage elastic modulus at 40° C. in dynamic viscoelasticity measurement performed under a compression mode condition with a dry state, a frequency of 10 rad / s, and 20 to 100° C., E′C40, is 3.0 or more and 15.0 or less, and a loss factor tan δ in the dynamic viscoelasticity measurement performed under the bending mode condition is 0.10 or more and 0.30 or less in a range of 40° C. or more and 70° C. or less.

The invention provides a method for measuring the dynamic hardness of a material based on bullet impact indentation. The method comprises the following steps: carrying out decontamination and polishing treatment on the surface of a target material; measuring the elastic modulus of the to-be-measured area; the hard spherical projectile is launched to impact the to-be-measured area to form an impact pit, and the springback speed of the projectile is measured in situ; measuring geometric parameters of the impact pit; establishing a contact force model of the elastic unloading section impacted by the projectile; and with the springback speed and the geometric parameters of the pit as input, obtaining the maximum loading force through a contact force model, and finally calculating the dynamic hardness. The dynamic Myer hardness is calculated by measuring the bullet rebound speed and pit parameters through the bullet impact indentation test without depending on real-time data acquisition of a high-frequency force / displacement sensor, so that the problem of strain rate upper limit caused by hardware limitation in the traditional technology is solved, and the blank of dynamic Myer hardness measurement under the high strain rate is filled up.

The invention discloses a porcelain piece stress reduction method and system based on elasticity modulus regulation and control, and belongs to the technical field of stress research and nondestructive testing, and the method comprises the following steps: generating a temperature-elasticity modulus characteristic curve, collecting geometrical morphology information of microdefects in a porcelain piece, and calculating a temperature-elasticity modulus characteristic curve; inputting a multi-physics field coupling finite element model taking a temperature change process of an extreme low-temperature working condition as a thermal load boundary condition, carrying out iterative optimization calculation to obtain an optimal elastic modulus combination which minimizes the maximum first principal stress in the porcelain part, and reversely solving an optimal manufacturing process parameter combination by utilizing a correlation model to obtain a final manufacturing process parameter combination. And calculating the predicted safe operation life cycle of the porcelain part through the fatigue crack propagation model. According to the method, by introducing dynamically changing material parameters and real microdefect data, the stress state of the porcelain piece under the extreme working condition is predicted and optimized, a corresponding process implementation path and service life evaluation are given, and the problems of inaccurate simulation and poor optimization effect caused by adoption of constant parameters in the prior art are solved.

The invention discloses a high polymer material performance prediction method and system based on deep learning, and the method comprises the steps: constructing an automatic encoder, and carrying out the dimension reduction of various data of a high polymer material through unsupervised learning; optimizing a multi-mode encoder structure by adopting an automatic design mechanism; extracting a fusion characteristic value of the high polymer material by using a multi-modal data encoder; dynamic attention fusion: introducing a dynamic gating weight to adaptively distribute modal weights to input data; introducing physical constraint, and embedding molecular dynamics into back propagation; performing quantum circuit acceleration graph convolution; and predicting and outputting, mapping the fusion characteristic value to the tensile strength and elastic modulus performance indexes of the high polymer material, and realizing nonlinear regression through a multi-layer perceptron. According to the method, a material molecular dynamics equation is converted into a forward propagation kernel from a posterior constraint, the dynamic behaviors of molecules can be simulated and predicted more accurately, and the calculation efficiency is improved while the precision is ensured.