63 results about "Dynamic elastic modulus" patented technology

The invention relates to the technical field of control of manufacturing units, in particular to a composite material rod piece winding tension dynamic compensation control method and system. The method comprises the following steps of: calculating an instantaneous linear velocity pulsation quantity caused by the change of a non-circular section contour of a core mold at each moment; according to the dynamic elastic modulus and the equivalent viscosity coefficient, calculating a phase correction factor for representing the viscoelastic response lag of the prepreg tape at each moment; based on the instantaneous linear velocity pulsation quantity and the phase correction factor at each moment, a dynamic compensation torque instruction is obtained, and the dynamic compensation torque instruction is in negative correlation with the phase correction factor; and the dynamic compensation torque instruction is output to the tension unwinding motor, so that the adjustment of winding tension is realized, the accuracy of tension dynamic compensation control is effectively improved, and the product quality is effectively improved.

The invention relates to the technical field of oil exploration, and discloses a rock mechanical parameter logging intelligent evaluation method considering continental facies shale fabric characteristics. The method comprises the following steps: 1, dividing shale lithofacies, identifying and determining the bedding development thickness of a sample through an optical microscope, determining a granularity experiment of the sample through granularity analysis, and forming mineral composition and bedding factor lithofacies division; 2, constructing a typical logging facies based on a rock electricity response relationship, and dividing the imaging logging facies of the research area according to natural gamma curves of conventional logging and imaging logging, core deposition structure characteristics and imaging logging image characteristics; 3, testing the longitudinal and transverse wave velocities and the porosity of different shale lithofacies, and calculating the dynamic elastic modulus and the Poisson's ratio. Through fine division and description, the method for accurately evaluating the bedding development condition, the particle size characteristics and the mineral components of the shale sample is provided, the testing time is short, the cost is low, and accurate evaluation of shale can be achieved.

The invention provides a method and a system for predicting the durability of an underwater non-dispersible concrete structure, and relates to the technical field of material engineering. Respectively measuring an anti-permeability vector consisting of an unsteady state chloride ion migration coefficient, an anti-permeability grade and an oxygen permeation coefficient, a freezing resistance vector consisting of a mass loss rate and a dynamic elastic modulus retention rate, and a corrosion resistance vector consisting of a mass change rate in a sulfate environment, the dynamic elastic modulus retention rate and a corrosion rate in a carbonic acid environment; a fitting formula among impermeability, freezing resistance and corrosion resistance is constructed based on a known high-durability concrete sample, and by calculating the decoupling degree of each vector combination of the concrete sample relative to the high-durability concrete sample, multi-parameter collaborative evaluation and accurate prediction of the durability of the concrete structure are realized.

The invention relates to the technical field of concrete durability evaluation, in particular to a compound green concrete salt freezing resistance durability evaluation system under a frozen soil environment, which comprises a data input unit, a decision information table storage unit, a rough set analysis processing unit and an evaluation output unit, the data input unit receives a sample data set containing freeze-thaw cycle times, dry-wet cycle times, freeze-thaw-dry-wet cycle times, long-term soaking time, composite salt concentration, gas content and fly ash mixing amount, and the decision information table storage unit stores a decision information table constructed based on a rough set theory. The influence factor combination and the relative dynamic elastic modulus percentage are associated, the rough set analysis processing unit establishes a mapping relation through attribute reduction and rule extraction and quantifies the weight of each factor, and the evaluation output unit outputs a relative dynamic elastic modulus predicted value, durability grade classification and key factor contribution sorting. And the salt freezing resistance durability of the concrete under the multi-factor coupling effect is accurately evaluated.

The invention discloses a hybrid fiber reinforced geopolymer concrete dynamic growth factor prediction method and system, and relates to the technical field of composite materials, and the method comprises the steps: obtaining an initial peak stress growth factor based on the ratio of dynamic peak stress to quasi-static peak stress under a given strain rate; based on the ratio of the dynamic elastic modulus to the static elastic modulus, obtaining a dynamic increasing coefficient of the elastic modulus of the concrete; under the condition that the size of the static compression test piece is consistent with the size of the dynamic compression test piece, analyzing the influence of a fiber combination mode, a fiber type, a fiber mixing amount and a strain rate on the dynamic performance of the test piece; introducing fiber characteristic parameters to carry out secondary fitting on the initial peak stress growth factor to obtain a corrected peak stress growth factor; and fitting the dynamic increase coefficient of the elastic modulus of the concrete through a linear function to obtain a corrected elastic modulus increase factor and a critical strain rate. According to the method, the dynamic growth factor of the hybrid fiber reinforced geopolymer concrete can be accurately predicted, so that the impact resistance of the material is obtained.

The present disclosure relates to a tyre (100) for vehicle wheels comprising at least one carcass structure (101), a tread band (109) applied in a position radially external to said carcass structure, and a pair of sidewalls (108) applied laterally on the opposite sides with respect to said carcass structure, where on at least one sidewall of said pair of sidewalls (108), a label (120) is applied comprising a protective layer (121), an adhesive layer (123), and possibly one or more ink layers (122) interposed between said protective layer (121) and said adhesive layer (123), where said adhesive layer (123) adheres the label (120) to the surface of said sidewall, where said protective layer (121) comprises polyester-based and / or polyether-based cross-linked aliphatic polyurethanes exhibiting dynamic elastic modulus values E′, measured at 25° C., static tensile deformation 1%, dynamic deformation ±0.1%, and frequency 1 Hz, equal to or higher than about 5 MPa, and a residual deformation measured at 25° C. after 4 cycles of deformation from 0% to 12%, equal to or lower than about 1%.

This invention provides a method, system, and equipment for optimizing the mix proportions of rubber concrete, belonging to the interdisciplinary field of building materials design and artificial intelligence. The method includes: constructing a high-precision prediction model for compressive strength and relative dynamic elastic modulus using Bi-LSTM, which serves as the fitness function during the optimization process. Furthermore, three optimization objectives are introduced. NSGA-III is enhanced by introducing chaotic perturbations and an adaptive evolution mechanism, thereby improving the convergence and diversity of the solution set in the high-dimensional objective space. Based on this, a three-objective optimization framework involving compressive strength, cost, and relative dynamic elastic modulus is established, enabling a coordinated balance among these three objectives in the mix proportion design of rubber concrete. This method solves the problem of insufficient optimization of rubber concrete mix proportions.

The invention discloses a power transmission and transformation project rock-soil body mechanical property in-situ test landslide stability evaluation device, which comprises a multi-frequency sound wave excitation module, a sound wave characteristic acquisition module, a multi-electrode array measurement module, a mechanical parameter coupling analysis module, a landslide stability dynamic evaluation module and a parameter adaptive optimization module, a dynamic elastic modulus and a dynamic Poisson's ratio are obtained through sound wave propagation characteristic testing, resistivity three-dimensional distribution is obtained through georesistivity tomography, the dynamic elastic modulus and the dynamic Poisson's ratio are innovatively coupled to determine water saturation and shear strength parameters, landslide stability is dynamically evaluated based on the shear strength parameters, and an early warning signal is output. According to the method, the lossless rapid testing of the mechanical property of the rock-soil body and the dynamic evaluation and early warning of the landslide stability are realized.

The invention discloses a basalt fiber cement silty soil dynamic elastic modulus estimation method for a subgrade in a seasonal frozen region, which comprises the following specific steps: preparing a sample, performing a freeze-thaw cycle test on the sample, then performing a graded loading dynamic triaxial test to obtain dynamic stress and dynamic strain of a soil body under different confining pressures, drawing a hysteretic curve, and estimating the dynamic elastic modulus of basalt fiber cement silty soil on the basis of a Hardin-Drnevich hyperbola model. The maximum dynamic elastic modulus and the final dynamic stress amplitude of the sample are obtained, reference dynamic strain is introduced, and the normalized secant dynamic elastic modulus is obtained; based on a nonlinear least square method, statistical analysis is carried out on test data under the action of different confining pressures and freezing and thawing cycle times, and a pre-estimation model representing correlation between the maximum dynamic elastic modulus and the final dynamic stress amplitude and the confining pressures and the freezing and thawing cycle action times is obtained; through nonlinear regression analysis, obtaining a prediction model of the maximum dynamic elastic modulus and the final dynamic stress amplitude considering the confining pressure and the freeze-thaw cycle effect, and further obtaining a normalized secant dynamic elastic modulus; the method improves the estimation efficiency.

The application discloses a method for determining the flexural strength of concrete after freeze-thaw cycles, and comprises the following steps: measuring the dynamic elastic modulus of the concrete; taking the dynamic elastic modulus, the initial flexural strength of the concrete, the flexural strength loss coefficient and the air pressure influence coefficient as inputs, and calculating the flexural strength of the concrete based on a flexural strength prediction formula; the application analyzes the dynamic elastic modulus and the flexural strength of the concrete, establishes the relationship between the dynamic elastic modulus and the flexural strength of the concrete with the increase of the freeze-thaw cycle times, proposes a prediction formula for the flexural strength of the concrete after freeze-thaw cycles, so that the dynamic elastic modulus of the concrete only needs to be detected, and the flexural strength can be obtained through corresponding calculation, damage to the existing concrete during measurement is avoided, and nondestructive testing of the concrete is realized.

The invention discloses a nondestructive testing method for an exposure test of a concrete structural member, which comprises the following steps of: pre-embedding a sensor for detection in the concrete member, and acquiring detection data of the concrete member under the condition of alternate change of salt water and fresh water in real time; calculating by using data of an ultrasonic detector to obtain relative dynamic elastic modulus change characteristics; a high-resolution optical camera system and a three-dimensional laser scanner are adopted to quantify concrete member denudation area distribution characteristic information; a concrete member degradation model and a bearing capacity calculation model under the salt and fresh water alternating change condition are established, and the remaining service life of the concrete member in the salt and fresh water alternating environment is predicted according to a set failure standard; integrating and storing various detection data obtained in the whole exposure test process, and establishing a database; through multi-modal data association analysis, a synergistic effect mechanism of the concrete member in a salt-fresh water alternating environment is disclosed, a data footstone is provided for cross-sea-area engineering, and nondestructive testing of the exposure test of the concrete structural member is realized.

The invention discloses a method for determining anisotropic horizontal principal stress of a sand-mud interbed. The method comprises the steps that on the basis of logging data, under the assumption of a stratum transverse isotropic medium, longitudinal and transverse wave velocities perpendicular to and parallel to the stratum direction at the specified depth and longitudinal wave velocities in the direction forming a specified included angle with the stratum are determined; determining the rigidity modulus at the specified depth based on the first relation expression of the wave velocity and the rigidity modulus; determining the dynamic Poisson's ratio and the elastic modulus in the direction based on the second relation expression of the rigidity modulus and the dynamic Poisson's ratios and the elastic moduli in the direction parallel to and perpendicular to the stratum; converting the dynamic elastic modulus and the Poisson's ratio in the direction parallel to and perpendicular to the stratum into the static elastic modulus and the Poisson's ratio in the direction; and determining anisotropic horizontal principal stress at a specified depth by using a transverse isotropic stratum ground stress model based on the static elastic modulus and Poisson's ratio in parallel and vertical stratum directions. The calculation accuracy of the anisotropic rock mechanical parameters and the horizontal principal stress can be improved.

The application discloses a kind of based on building ground settlement intelligent detection method and system, it is related to ground settlement detection technical field, by the pre-processing of original feature dataset RAW, obtain reliable standard feature dataset SFD, lay high-quality data foundation for subsequent accurate analysis.Based on average longitudinal wave velocity AVG_V p The dynamic elastic modulus Ed of the pile body is calculated, and the elastic compression amount S caused by the load of the pile body is calculated according to the dynamic elastic modulus Ed p , and the quantitative separation of the deformation of the pile body itself is realized. The soil settlement amount S t is separated from the average total ground settlement amount AVG_S o , and the multi-dimensional risk index F reflecting the comprehensive risk is calculated by combining the soil settlement rate T_S v in the current detection period, and the clear decision instruction Air is generated by comparing the risk index F with the preset risk threshold interval θ. Finally, the feedback calibration mechanism of man-machine combination is established, and the long-term reliability of the precise grading early warning and system judgment ability is realized.

The invention relates to the technical field of roadbed continuous compaction detection, and discloses a calibration method of roadbed continuous compaction detection equipment, which comprises the following steps: combining a plurality of rubber pads with different hardness and thickness to obtain a simulation test system; s2, testing the dynamic elasticity modulus of the plurality of rubber cushion layers to verify the rigidity uniformity and continuous variability of the rubber cushion layers; s3, performing in-situ single-point vibration test on the simulation test system, acquiring a steel wheel vibration acceleration signal by means of roadbed continuous compaction detection equipment, preprocessing the acquired signal, and calculating a continuous compaction detection index needing to be calibrated; and S4, taking the mean value of the dynamic elastic modulus of the rubber cushion layer as an equivalent stiffness reference value, and fitting the correlation between the index to be calibrated and the dynamic elastic modulus by adopting a regression analysis method so as to obtain a calibration curve. According to the method, a more accurate and universal calibration result can be provided for roadbed compaction quality detection equipment, the calibration efficiency is improved, and the calibration cost is reduced.

The invention discloses a coal-bed gas well bottom effect evaluation method and device. The method comprises the steps of obtaining a longitudinal and transverse wave velocity curve according to acoustic logging data of a to-be-evaluated well in a coal bed gas reservoir, obtaining a first brittleness index curve through a brittleness index prediction model, obtaining a second brittleness index curve based on a mineral content curve of the well, and obtaining a third brittleness index curve through integration; according to the density and mineral content data of a plurality of samples in the reservoir, constructing a reservoir anisotropic rock physical model, performing simulated mining through the model in combination with the third brittleness index curve to obtain a fourth brittleness index curve and a dynamic elastic modulus curve, and constructing a compressive strength curve in combination with the shale content curve; and performing well bottom effect evaluation on the to-be-evaluated well according to the third brittleness index curve, the fourth brittleness index curve and the compressive strength curve. According to the method, a brittleness index curve is constructed through multiple ways, and a compressive strength curve obtained through mining simulation is combined, so that reasonable evaluation of the coal-bed gas well bottom effect is achieved.

The application discloses a kind of hybrid fiber reinforced geopolymer concrete dynamic growth factor prediction method and system, it is related to composite material technical field, including: based on the ratio of dynamic peak stress and quasi-static peak stress under given strain rate, obtain initial peak stress growth factor;Based on the ratio of dynamic elastic modulus and static elastic modulus, obtain the dynamic increase coefficient of concrete elastic modulus;In the case where static compression test piece size and dynamic compression test piece size are consistent, analyze the influence of fiber combination mode, fiber type and content and strain rate on the dynamic performance of test piece;Introduce the secondary fitting of fiber characteristic parameter to initial peak stress growth factor, obtain the modified peak stress growth factor;The dynamic increase coefficient of concrete elastic modulus is fitted by linear function, and the modified elastic modulus growth factor and critical strain rate are obtained.The application can accurately predict the dynamic growth factor of hybrid fiber reinforced geopolymer concrete, and then obtain the impact resistance of material.

The application discloses a kind of water-rich soft ground deep-buried underground water conveyance tunnel exterior grouting effect detection evaluation method, and relates to the technical field of tunnel engineering.The core is "laboratory verification-site detection-numerical evaluation", first through field soil sampling, dynamic triaxial test and grouting model construction, combined with nondestructive testing to establish "detection result-solid information-dynamic elastic modulus" mapping relationship;Then in situ test, impact image method and high-density surface wave method are used in engineering site, at grouting key node detection and quantization detection result and elastic modulus correlation, obtain static elastic modulus;Finally, according to design data, simulation model is built, bolt stress, transverse joint opening amount and shock subsidence displacement are calculated to determine grouting effect.The application organically integrates the three, forms a complete technical system, realizes water-rich soft ground deep-buried underground water conveyance tunnel grouting effect nondestructive accurate evaluation, and provides guarantee for engineering quality and operation safety.

The utility model discloses an auxiliary device for testing the dynamic elastic modulus of a concrete core sample by using a forced resonance method, which comprises a bottom plate, a detector is arranged on one side of the upper surface of the bottom plate, an insertion device is arranged on one side of the detector on the upper surface of the bottom plate in a sliding manner, and the insertion device comprises an abutting plate and a moving plate, the side wall of the abutting plate and the side wall of the movable plate are each provided with a detection head, the two sets of detection heads are opposite to each other, and the side, facing the detector, of the abutting plate is located on the surface of the bottom plate and provided with an electrifying assembly. After a clamping block is pushed by a push rod to clamp the core sample, a detection head on the side wall of a movable plate is inserted into the core sample by manually rotating a handle, and then the core sample is extruded by the movable plate, so that a detection head on the side wall of a propping plate is extruded to be inserted into a slot, and the detection of the core sample by electrifying the detector is completed.

A tyre (1) for motorcycle wheels is described comprising a tread band (8) of the “cap-and-base” type comprising a radially outer portion, formed by a central sub-portion (11a) made with a first vulcanized elastomeric material and by a pair of lateral sub-portions (11b, 11c) made with a second vulcanized elastomeric material, and a radially inner portion (12) made with a third vulcanized elastomeric material. The first vulcanized elastomeric material of the central sub-portion (11a) has a dynamic elastic modulus (E′) measured at a frequency of 10 Hz and at 23° C. greater than the dynamic elastic modulus (E′) measured in the same conditions of the second vulcanized elastomeric material of the lateral sub-portions (11b, 11c) and both such vulcanized elastomeric materials have a respective dynamic elastic modulus (E′), again measured at a frequency of 10 Hz and at 23° C., comprised between 5.2 and 6.5 MPa and greater than the dynamic elastic modulus (E′) of the third vulcanized elastomeric material, measured in the same conditions. In the tyre (1), the ratios R1 and R2 between the dynamic elastic modulus and the tandelta of the second vulcanized elastomeric material of the lateral sub-portions (11b, 11c) of the radially outer portion and the dynamic elastic modulus and the tandelta of the third vulcanized elastomeric material of the radially inner portion (12) of the tread band (8), respectively measured at a frequency of 10 Hz and at 100° C. and at a frequency of 10 Hz and at 70° C., are comprised between 0.8 and 1.2.

The invention discloses a method for analyzing dynamic performance degradation of a protective coating-composite sheet in a thermal vibration environment, and belongs to the technical field of high-temperature vibration degradation. After a dynamic degradation model of a protective coating-composite sheet structure in the thermal environment is established, the dynamic elastic modulus of a protective coating and a composite at different temperatures and degradation time is determined; the dynamic response characteristics of the structure are solved based on the first-order shear deformation theory, the Ritz method and the minimum potential energy principle, the dynamic stiffness index for thermal shock degradation resistance quantitative evaluation is provided, and the method has the advantages that the method is suitable for optimizing the thermal shock degradation resistance design of the composite material structure and improving the service life prediction precision.

The invention discloses a method and a system for testing the dynamic elastic modulus of a railway bed granular filler, relates to the field of railway bed engineering, and solves the technical problem that the conventional method cannot be used for effectively and dynamically testing the railway bed granular filler. The method comprises the steps that a test material forming test piece is tested, the test comprises different loading sequences, different confining pressure and vertical load are applied to each loading sequence, the confining pressure is static air pressure, the vertical load is m times of dynamic repeated load, and the single dynamic load is composed of load pulse and interval, setting a plurality of load pulse loading durations and intermittent durations to simulate load conditions of different train speeds and roadbed depths, recording vertical stress and deformation as test data in the test process, and then processing the test data to obtain a dynamic elastic modulus; compared with the prior art, the stress-strain curve obtained by the method has higher goodness of fit with the roadbed response when the train passes by actually, and the guidance value of the test result on engineering practice is remarkably improved.

The invention discloses a method for detecting and evaluating the external grouting effect of a water-rich soft foundation deeply-buried underground water conveying tunnel, and relates to the technical field of tunnel engineering. The method comprises the following steps: by taking laboratory verification-field detection-numerical evaluation as a core, firstly, through field soil body sampling, dynamic triaxial test and grouting model construction, establishing a mapping relationship of detection result-entity information-dynamic elastic modulus in combination with nondestructive detection; detecting and quantifying correlation between a detection result and an elastic modulus at a grouting key node by using an in-situ test, an impact mapping method and a high-density surface wave method on an engineering site to obtain a static elastic modulus; and finally, building a simulation model according to design data, and calculating bolt stress, transverse joint opening amount and seismic collapse displacement to judge the grouting effect. According to the method, the three parts are organically fused to form a complete technical system, lossless accurate evaluation of the grouting effect of the water-rich soft foundation deeply-buried underground water conveying tunnel is achieved, and guarantee is provided for engineering quality and operation safety.

The application discloses a soft rock tunnel simulation parameter assignment method considering surrounding rock unloading and supporting characteristics, and specifically comprises the following steps: tunnel excavation and supporting processes are simulated by using FLAC numerical software; in view of the unloading expansion of surrounding rock and the limit characteristics of the supporting structure, the state of the unit is determined in real time in calculation, and the z_prop function in the FISH language is used to assign parameters to the rock mass and the structural unit; the unloading expansion phenomenon of the surrounding rock is simulated by introducing a dynamic elastic modulus, and real-time adjustment is performed in the calculation process; the supporting effect of the structural unit is simulated by introducing a dynamic elastic modulus, and the limit bearing characteristics of the support are considered in the calculation; and a dynamic constitutive relation is introduced to simulate the yielding unit. The application considers the influence of the unloading expansion of the surrounding rock and the limit characteristics of the supporting structure, and realizes relatively accurate numerical simulation calculation of tunnel engineering.

The application discloses a geopolymer concrete freeze-thaw durability detection method, device and medium. The method synchronously collects macroscopic dynamic elastic modulus and microscopic infrared spectrum data through design of a freeze-thaw cycle experiment, constructs N-A-S-H gel skeleton damage sequence and microscopic topological structure stability model, fuses multi-scale data to calculate correlation factors to evaluate comprehensive damage, and finally realizes freeze-thaw durability grade classification, thereby solving the problem that traditional methods are not sensitive to early microscopic damage.

The invention discloses a wood lowest strength area positioning method based on ultrasonic detection and visual inspection parameters, and belongs to the technical field of wood structure engineering. The positioning method comprises the following steps: calculating the propagation velocity v of ultrasonic waves in wood; the dynamic elastic modulus E of the wood is calculated, and rho is the air-dry density of the wood; measuring the size K of the maximum wood section in a flat bending three-point bending test span l, and meanwhile, placing the maximum wood section near a loading point; carrying out flat bending three-point bending damage to obtain the three-point bending strength f of each test material; and substituting actual measurement samples fi, Ei and Ki into the multiple linear regression model to estimate a regression coefficient of the multiple linear regression model, positioning the lowest-strength areas of other woods according to an obtained multiple regression equation, and determining the positions of four-point (three-point) bending test loading points. The positioning method provided by the invention is universal and feasible, and can realize accurate positioning of the lowest strength area before a four-point (three-point) bending test.

The invention discloses a resonant frequency prediction method, electronic equipment, a storage medium and a device. The method comprises the following steps: constructing a low-frequency dynamic elastic modulus measurement equipment digital model; performing mesh generation on the digital model; establishing a control equation based on multi-field constraints; loading the control equation to the digital model after mesh generation; loading the boundary constraint condition and the contact boundary condition to the digital model loaded with the control equation; and solving the digital model loaded with the boundary constraint condition and the contact boundary condition, and obtaining the resonance frequency and the corresponding resonance mode of the digital model. According to the method, the control equation, the boundary constraint condition and the contact boundary condition are loaded to the digital model, the working condition of the low-frequency dynamic elastic modulus testing equipment is simulated, the resonant frequency of the low-frequency dynamic elastic modulus testing equipment can be accurately predicted, and therefore the specific influence of the resonant frequency on the measurement result can be effectively judged; and a theoretical basis is provided for constructing a low-frequency elastic modulus test state with a wider frequency band.

The application discloses a kind of substation concrete foundation evaluation methods, it is related to substation technical field, including: the surface environmental parameter of reinforced concrete deck slab is collected, including chloride ion, sulfate ion and carbonate ion etc.;While measuring deck slab protection cap thickness;Reinforced concrete deck slab is located above 3 PHC pipe piles;The best frequency of vibration measuring device is calibrated by test;Under the calibration of best frequency, the dynamic detection and analysis of the bearing capacity of reinforced concrete deck slab is carried out by vibration measuring device, and the bearing deviation index Yz of reinforced concrete deck slab is calculated according to the maximum dynamic elastic modulus Ed and crack detection result;The surface environmental parameter measured, deck slab protection cap thickness and bearing deviation index Yz are input data of life evaluation model, and the life prediction data corresponding to reinforced concrete deck slab is obtained;It improves prediction efficiency and accuracy;To improve regional decision efficiency.

The invention provides an electric porcelain material tensile constitutive model construction and application method and system, and the method comprises the steps: introducing a damage variable item and a strain rate effect item based on Weibull distribution; determining the relationship between the dynamic elastic modulus and the strain rate of the electroceramic material and the relationship between the shape parameters of the Weibull distribution and the strain rate by combining a constitutive relationship test curve under the medium-high strain rate, and constructing a tensile constitutive model of the electroceramic material; according to the method and the system, a damage variable item and a strain rate effect item are introduced, a constitutive relation test curve under the medium-high strain rate is combined to construct a tensile constitutive model of the electroceramic material, the influence of the strain rate is considered, and the dynamic tensile constitutive relation of the electroceramic material under the medium-high strain rate is obtained; parameters in the model construction process depend on test results, and the precision is high; the high-precision tensile constitutive model of the electroceramic material is used for carrying out tensile analysis on the electroceramic material, so that an anti-seismic calculation analysis result which is subsequently carried out by utilizing a tensile analysis result is more accurate.

The invention relates to the technical field of rebound modulus monitoring, in particular to a dynamic monitoring method, system and equipment for roadbed rebound moduli, and the method comprises the following steps: aiming at each working condition, preparing a plurality of groups of soil body samples, respectively carrying out multi-stage loading dynamic triaxial tests on the soil body samples, and generating hysteretic curves of various strain grades; obtaining a discrete coefficient of each soil body sample at each strain grade, correcting an initial dynamic elastic modulus extracted from the hysteretic curve, and establishing a nonlinear constitutive model responding to the soil body state change; generating a simulation data set comprising a plurality of feature vectors and resilience moduli thereof, wherein the simulation data set is used for training an ensemble learning model; and in a roadbed construction site, according to the obtained feature vectors, predicting the rebound modulus by using the integrated learning model, and evaluating the compaction quality of the roadbed. According to the invention, the accuracy of monitoring the rebound modulus of the roadbed in real time is improved.

The invention relates to a wood mechanical property prediction method, system and device based on standing tree stress wave data and a medium, and the method comprises the steps: obtaining standing tree longitudinal wave velocity data, living wood density, standing tree water content, forest germplasm and tree age; the method comprises the following steps: triggering node defect screening on standing timber longitudinal wave velocity data based on wave velocity gradient abrupt change response, performing correction in combination with water content, outputting standard longitudinal wave velocity data, performing boundary effect compensation, generating log equivalent wave velocity, performing gradient correction in combination with a radial space distribution relationship between a detection node and a pith, and outputting a corrected wave velocity parameter; and constructing a dynamic elastic modulus prediction model through multi-source coupling, predicting and outputting a dynamic elastic modulus, converting the dynamic elastic modulus into a static reference modulus, conditionally introducing a tree age attenuation factor to apply correction, and obtaining a final static elastic modulus. According to the method, through the coupling analysis and dynamic correction mechanism of the multi-source stress wave data, the precision and applicability of mechanical property prediction of the standing tree are remarkably improved.