43 results about "Shear modulus" patented technology

The application discloses a micro-nano circular plate fracture analysis method considering coupling of surface effect and plastic zone, and firstly establishes a three-dimensional curved surface coordinate system suitable for a surface layer, and then further corrects a Dugdale cohesion force model according to a superposition principle after considering surface correlation of the plate, and then simplifies the Dugdale cohesion force model into a hyper-singular integral equation by using Hankel transformation, and finally obtains influences of the surface effect on the plastic zone size and crack surface displacement by numerically solving the hyper-singular integral differential equation.The method can accurately capture the nonlinear coupling relationship between the crack size, the surface shear modulus, the torsional displacement and the stress intensity factor under the micro-nano scale, effectively corrects calculation deviation generated by traditional classical theory when the surface effect is ignored, ensures the accuracy of the fracture analysis under different scales, and realizes more accurate and more comprehensive theoretical description of the elastic-plastic fracture behavior of the micro-scale material.

The present invention relates to methods of applying cementitious compositions comprising de-lithiated beta-spodumene by injecting, by spraying, or by layer-by- layer deposition, to cementitious compositions comprising de-lithiated beta-spodumene, and to the use of de-lithiated beta-spodumene to increase the shear modulus G of a cementitious composition.

The application relates to the motor winding technology field and provides a motor winding process automatic control method and system.The method comprises the following steps: obtaining motion state information, stress state information and material characteristic information of a flat wire; inputting the motion state information, the stress state information and the material characteristic information into a preset flat wire mechanical simulation model to obtain a predicted torsion angle of the flat wire in a bending process output by the preset flat wire mechanical simulation model; obtaining an actual torsion angle of the flat wire; adjusting a parameter value of an equivalent shear modulus of the flat wire in the preset flat wire mechanical simulation model according to the predicted torsion angle and the actual torsion angle to obtain an adjusted preset flat wire mechanical simulation model; and performing winding control on the flat wire based on the adjusted preset flat wire mechanical simulation model. The accuracy of motor winding can be controlled.

This invention discloses a vibration damping mechanism for an irregularly shaped centrifuge device and its design method. The design method includes: establishing two balance reference planes corresponding to the upper and lower surfaces of the rotating module, respectively, and calculating the mass of the counterweight using the inertial force balance formula; determining the model of the vibration damping support based on the ratio of the interference frequency of the irregularly shaped centrifuge device to the natural frequency of the vibration damping mechanism being greater than a certain threshold; calculating the radial wall thickness of the suspended vibration damping sleeve based on the shear modulus of the material being prepared, and determining the axial length and outer diameter of the suspended vibration damping sleeve based on its installation inner diameter, thus obtaining the design parameters of the suspended vibration damping sleeve; after the vibration damping mechanism is assembled onto the irregularly shaped centrifuge device, using a dynamic balancing analyzer to test the vibration of the irregularly shaped centrifuge device at its rated speed to confirm the dynamic balancing effect. The design method of this invention is easier to operate and select, and through dynamic balancing verification analysis, it can effectively ensure the vibration damping and suppression effect of the vibration damping mechanism.

The application discloses a viscoelasticity parameter inversion method, and belongs to the field of medical image processing and computational imaging. The method obtains the time-space image sequence data of the measured soft tissue after excitation, extracts the shear wave group velocity by using the time-of-flight method, and equivalently takes the shear wave group velocity as the phase velocity anchor point under the zero-frequency limit condition to determine the static shear modulus; the two-dimensional fast Fourier transform is used to extract the middle-high frequency band phase velocity dispersion curve; the rheological model of the measured soft tissue is constrained based on the static shear modulus, and the single-parameter fitting of the viscosity coefficient is combined with the middle-high frequency band phase velocity dispersion curve to obtain the viscoelasticity parameter.

A method and an apparatus for measuring ultrasonic viscoelasticity, a device and a medium are provided. The method includes: establishing an inhomogeneous viscoelastic wave equation; coding the inhomogeneous viscoelastic wave equation as a loss function, and constructing a physics-informed neural network, where the spatial-temporal neural network is configured to predict a stream function, the inhomogeneous viscoelastic wave equation is used to obtain vertical vibration velocity of particles based on the stream function outputted, the spatial neural network is configured to predict shear modulus and viscosity, and the loss function is used to calculate an aggregate loss; inputting the multi-frame vertical vibration velocity of particles of the object to be measured as supervisory data into the physics-informed neural network, to obtain a spatial distribution of the shear modulus and a spatial distribution of the viscosity of the object to be measured.

This invention relates to a method for identifying the elastic modulus and loss factor of functionally graded coatings under thermal conditions based on vibration testing. It belongs to the field of structural vibration and material parameter identification technology, and includes: preparing a metal plate specimen coated with a functionally graded coating, and obtaining structural geometric parameters, component material parameters, and thermal vibration environment parameters; applying vibration excitation to the metal plate specimen under thermal conditions to obtain the test natural frequency and test damping ratio of the target order; establishing an equivalent material parameter model of the functionally graded coating to obtain the equivalent Young's modulus, shear modulus, Poisson's ratio, and density of the coating material, and calculating the transformation stiffness coefficient; establishing an analytical dynamic model of the metal plate specimen under thermal conditions based on first-order shear deformation theory and thermoplastic theory to obtain the theoretical natural frequency and theoretical damping ratio of the corresponding order; constructing an error function constrained by the natural frequency and resonance response, and obtaining the equivalent elastic modulus and loss factor of the functionally graded coating through iterative optimization based on a particle swarm optimization algorithm.

This invention belongs to the field of advanced metallic materials manufacturing, and relates to the design and preparation method of a high-plasticity Mg-Sn-Al magnesium alloy. First, a candidate system of Mg-xSn-yAl alloys is established. First-principles methods based on density functional theory are used to perform VCA modeling on each candidate composition and calculate elastic constants. Combined with the Voigt-Reuss-Hill model, parameters such as bulk modulus B, shear modulus G, Poisson's ratio, Pugh ratio, and Cauchy pressure are obtained. Using a Poisson's ratio greater than 0.36, a Pugh ratio greater than 3.4, and a Cauchy pressure greater than 18 GPa as screening criteria, the composition range of the high-plasticity alloy is determined to be Mg-(1-3.2)Sn-(0.7-0.8)Al (wt.%). Subsequently, alloy plates are prepared through melting and casting, hot extrusion, staged rolling, intermediate annealing, and pulsed current post-treatment, and tensile property testing and microstructure characterization are performed. The results show that the selected alloys have superior plasticity, with the Mg-3.2Sn-0.79Al alloy achieving an elongation of 15.6%. This invention enables rapid screening and preparation of high-ductility magnesium alloys, which can reduce trial-and-error costs and improve alloy design efficiency.

This invention discloses a seismic treatment effectiveness evaluation system for thick loess sites, belonging to the fields of geotechnical engineering and earthquake engineering technology. The system comprehensively evaluates the seismic treatment effect by acquiring dynamic characteristic parameters and seismic response parameters of thick loess sites before and after seismic treatment. The system includes a site foundation parameter acquisition module, a dynamic characteristic parameter acquisition module, a loess dynamic degradation characteristic analysis module, a seismic response simulation module, a seismic treatment effectiveness quantification module, and an evaluation result output module. Specifically, it analyzes the loess dynamic degradation characteristics based on parameters such as shear wave velocity, shear modulus, and damping ratio, and acquires seismic response results such as surface acceleration, shear strain, and site amplification factor under the same seismic motion input conditions. By normalizing and weighting the dynamic degradation improvement index and the seismic response improvement index, a comprehensive seismic treatment effectiveness index is constructed, enabling quantitative evaluation and classification of seismic treatment effectiveness.

A method for evaluating the modified performance of polyurethane precursors based on multiple high-temperature performance indicators is proposed. Currently, an accurate method for evaluating the modified performance of polyurethane precursors is lacking. After preparing the raw materials accordingly, target samples are formed. These samples are then subjected to rheological, high-temperature, fatigue resistance, and low-temperature performance tests to obtain performance data for polyurethane precursor-modified asphalt. Based on this performance data, rutting factor, irreversible creep compliance, and recovery rate are used as indicators. R After performing PLS regression analysis with five high-temperature performance indicators, namely dynamic shear modulus and phase angle, as dependent variables, standardized regression coefficients were obtained. Based on the standardized regression coefficients, the process of quantitatively evaluating the modification performance of the high-temperature performance indicators of modified asphalt by the chemical property parameters of asphalt was completed.

The embodiment of the application relates to the technical field of seismic exploration, and discloses a brittle prediction method, device, equipment and medium for a rock reservoir, the prediction method comprising the following steps: based on well logging data of a target rock reservoir, a target layer section of the target rock reservoir is constructed according to rock components and rock physical characteristic parameters, so as to construct a rock physical model for representing the relationship between the volume modulus, shear modulus, rock density and the content of main brittle minerals of the rock; a model of a brittle indicator factor is constructed according to the rock physical model and the change of the content of the main brittle minerals, the brittle indicator factor being used for representing the relative brittle degree of the rock mass; and the brittle indicator factor is converted into actual brittleness for representing the actual brittle degree of the rock mass. The brittle prediction method disclosed by the application fully utilizes the rock physical characteristic analysis of the target rock reservoir to analyze the influence of the brittle minerals on the brittle prediction, and effectively improves the rationality and accuracy of the rock brittle prediction.

The application provides a method and system for calculating a brittleness index of a high porosity reservoir and an electronic device, comprising calculating Young's modulus, Poisson's ratio and shear modulus of logging data according to P-wave velocity, S-wave velocity and density in the logging data; calculating Lame's coefficient according to the Young's modulus and the shear modulus; establishing a rock brittleness index equation based on the Young's modulus, the Poisson's ratio and the Lame's coefficient, and obtaining a rock brittleness index through the rock brittleness index equation. The technical scheme of the application has the beneficial effect of providing a new brittleness index for a brittle gas-bearing area with high porosity, which is only related to P-wave velocity, S-wave velocity and density, thereby avoiding the influence of rock porosity, fluid, organic matter and other factors on the prediction of Young's modulus and Poisson's ratio, and having a good indicating effect on a favorable brittle gas-bearing area.

The functionally graded coating elastic modulus and loss factor identification method based on vibration test in thermal environment belongs to the technical field of structural vibration and material parameter identification, and comprises the following steps: a metal plate specimen coated with a functionally graded coating is prepared, and structural geometric parameters, component material parameters and thermal vibration environment parameters are obtained; vibration excitation is applied to the metal plate specimen under thermal environment conditions, and the test inherent frequency and test damping ratio of the target order are obtained; an equivalent material parameter model of the functionally graded coating is established, the equivalent Young's modulus, shear modulus, Poisson's ratio and density of the coating material are obtained, and the transformation stiffness coefficient is calculated; based on the first-order shear deformation theory and the thermal plasticity theory, an analytical dynamics model of the metal plate specimen under thermal environment is established, and the theoretical inherent frequency and theoretical damping ratio of the corresponding order are obtained; an error function with inherent frequency and resonance response as constraints is constructed, and the equivalent elastic modulus and loss factor of the functionally graded coating are obtained through iterative optimization based on the particle swarm algorithm.

The application discloses a kind of processing morbid vision identification method and system based on deep learning, belong to industrial vision detection technical field, three frames material surface images collected by industrial camera are received by production line control system and are converted into gray image, extract defect area boundary contour information and first frame gap region information, generate interlaminar shear stress field mapping in combination with preset material interlaminar shear modulus parameter, extract gap skeleton parameter and layered defect depth feature, analyze stress field evolution law to generate depth development stage index, obtain final depth discrimination result by fusing static depth discrimination result, then multi-class feature and depth discrimination result are fused to generate processing morbid recognition result and feedback to production line control system.The application can complete stable visual identification to material processing layered defect under complex industrial production environment, reduce the interference brought by on-site environmental factors, improve the extraction effect of defect contour and gap region, reduce the misjudgment and omission in detection process.

This invention discloses a method, apparatus, electronic device, and program product for predicting transverse and longitudinal wave velocities in rocks. The method includes: obtaining the porosity, density, and volume contents of quartz, clay, carbonate rocks, and pyrite in a marine-continental transitional shale rock; determining the equivalent matrix elastic modulus based on the porosity and the volume contents of quartz, clay, carbonate rocks, and pyrite; determining the volume modulus and shear modulus of the organic matter framework based on the volume modulus and shear modulus of the main phase material and the volume contents, volume modulus, and shear modulus of inclusions; obtaining the volume modulus and shear modulus of the shale matrix minerals based on the equivalent matrix elastic modulus, the volume modulus and shear modulus of the organic matter framework; and determining the volume modulus and shear modulus of the shale under saturated fluid conditions by mixing fluids, shale matrix minerals, and hard pores and fractures. This method can accurately predict transverse and longitudinal wave velocities.

This invention relates to the field of lunar exploration technology, and provides a method for testing the equivalent lunar surface shear using a Bayesian instrument on a moving lunar rover: S1: Constructing the equivalent relationship between the lunar rover wheels and the solid pressure plate on the ground and completing parameter calibration; S2: Conducting ground bulldozing tests to collect multi-dimensional data, and deriving the lunar soil shear modulus based on the modified shear stress formula and mechanical equilibrium formula; S3: Establishing an accurate in-situ detection model for the lunar soil shear modulus through standard tests and multi-condition verification of the modified inversion model; S4: The lunar rover completes the selection of exploration points and bulldozing tests on the lunar surface, collecting telemetry parameters and image data throughout the process; S5: Processing the lunar surface data and obtaining the lunar soil cohesion, substituting it into the accurate model to complete the inversion calculation of the lunar soil shear modulus; S6: Outputting the lunar soil shear modulus parameters in the lunar polar regions. Based on the existing functional performance and workflow of my country's polar lunar rover, a moving system and its wheels are used as an equivalent Bayesian instrument to conduct equivalent lunar soil translational shear tests.

This invention relates to the field of road engineering, specifically to a method for identifying the asphalt-mineral powder interface transition zone based on a dynamic shear rheometer. The method includes: preparing an asphalt-trichloroethylene solution; preparing asphalt mastic and separating free asphalt based on the asphalt-trichloroethylene solution and filtered mineral powder; performing a first elution on the asphalt mastic to obtain an asphalt sample; repeating the asphalt mastic elution process n times; determining the asphalt film thickness of each asphalt sample; conducting a dynamic shear rheological test on each asphalt sample; calculating and plotting the complex shear modulus master curve based on the complex shear modulus, the time-temperature equivalence principle, the WLF equation, and the CAM model; identifying the first asphalt sample whose complex shear modulus master curve shows a significant change trend relative to the previous eluted sample, and obtaining the asphalt-mineral powder interface transition zone thickness based on the asphalt film thickness of the asphalt sample with the significant change trend. This invention accurately identifies the thickness of the asphalt-mineral powder interface transition zone.

The tire (10) comprises a tread including a tread layer (52) comprising an axially central portion (P0c) and an axially lateral portion (P1c, P2c). The axially central portion (P0c) and the axially lateral portion (P1c, P2c) of the tread layer (52) comprise, respectively, a central material (M0) and a lateral material (M1, M2) having, respectively, a dynamic shear modulus G*C, G*1 such that G*1

Provided is a binder composition for an energy storage device that makes it possible to achieve quick charging in a short time and maintain capacity at a high level even if charging and discharging are repeated, by achieving both adhesion in a dry state and adhesion in an electrolyte-immersed state while reducing the internal resistance of a battery.　A composition for an energy storage device according to the present invention contains a polymer (A) and a liquid medium (B). With the total amount of repeating units contained in the polymer (A) being taken as 100 mass%, the polymer (A) contains 0.1 to 30 mass% of a repeating unit (a1) derived from a conjugated diene compound, 5 to 75 mass% of a repeating unit (a2) derived from an aromatic vinyl compound, and 20 to 80 mass% of a repeating unit (a3) derived from an ethylenically unsaturated carboxylic acid ester. The total amount of the repeating unit (a2) and the repeating unit (a3) is 60 mass% or more, and the composition satisfies the following condition. <Condition> The relationship represented by formula (1) is satisfied, where Shear Modulus 1 is the shear storage modulus of a film before immersion and Shear Modulus 2 is the shear storage modulus of a film after immersion, as measured with a nanoindenter.　(1): Log10\{(Shear Modulus 1) / (Shear Modulus 2)\} < 2.5

The present application relates to a kind of lattice cell filling structure design method considering material shear effect, comprising: obtaining several lattice cells, extracting the configuration data of each lattice cell;Using the configuration data trains U-Net neural network, obtains lattice cell configuration reverse generation model;Establish the objective function of cantilever beam flexibility minimization considering shear modulus, and using variable density topology optimization cantilever beam example, generate the global stiffness matrix containing the shear modulus of lattice cell;Using the lattice cell configuration reverse generation model is reverse mapped to the global stiffness matrix, obtains the cell configuration of lattice cell filling structure.The present application realizes the lattice filling structure design that can consider cell shear modulus distribution.

A plate material includes a first layer including a plurality of voids. The plurality of voids are arranged spaced apart from each other in a planar direction including a first direction and a second direction, the first direction is perpendicular to a plate thickness direction of the plate material, and the second direction is perpendicular to the plate thickness direction and to the first direction. A first shear modulus in a first plane including the plate thickness direction and the first direction is lower than a second shear modulus in a second plane including the plate thickness direction and the second direction and to the first direction.

A tire sidewall rubber composition comprising, per 100 parts by weight of rubber (phr): 90–100 phr natural or synthetic polyisoprene rubber and 0–10 phr of a second diene elastomer; 20–60 phr silica having a CTAB surface area of 20–200 m² / g; a silane coupling agent in an amount providing a silane‑to‑silica weight ratio of 5–20%; and 0–5 phr carbon black. Optionally, 2–10 phr of plasticizer and a covering agent selected from triethoxy(octyl)silane, diethoxy(methyl)octylsilane, diphenylguanidine, or polyethylene glycol is included at 0.25–2% by weight of silica. When cured, the composition exhibits a loss factor (tan δ_max) <0.15 and a shear modulus G* at 10% strain of 1.0–1.8 MPa (23 °C, 10 Hz).

A method, system, medium, and product for detecting the pressure-bearing performance of deep well casing are disclosed. In this method, a sensing fiber and a temperature sensor are fixed to the outer wall of the casing. Under variable temperature and pressure loading conditions, Brillouin frequency shift distribution data and temperature data are acquired. Based on the temperature data, the real-time temperature of the fiber core is calculated to eliminate the influence of thermal effects and obtain the apparent mechanical strain. Simultaneously, using a pre-established database of adhesive layer rheological properties, combined with the real-time temperature, the shear modulus of the adhesive layer is determined, a strain transfer model is constructed to calculate the transfer coefficient, and finally, the apparent mechanical strain is corrected to obtain the true mechanical strain value of the casing outer wall. This application aims to improve the accuracy of detecting the true pressure-bearing deformation of casing under variable temperature fracturing simulation conditions.

This invention relates to a method and system for testing magnetization dynamic parameters and magnetoelastic coupling coefficients, belonging to the field of magnetic material testing technology. The invention applies an external magnetic field to a two-port surface acoustic wave (SAW) delay line containing a magnetostrictive thin film under test. This alters the shear modulus of the SAW film, causing dispersion of the SAW wave velocity and consequently a phase change in the delay line. The magnitude of this shear modulus change is related to the high-frequency magnetization dynamic parameters and the magnetoelastic coupling coefficient, and also corresponds one-to-one with the phase change of the SAW delay line. By detecting the phase change, the high-frequency magnetization dynamic parameters and the magnetoelastic coupling coefficient of the SAW film can be deduced. This invention can extract the uniaxial anisotropic field, magnetoelastic coupling coefficient, and effective damping factor of the SAW film in a single operation. It is simple to operate and solves the problem of requiring separate testing of the magnetoelastic coupling coefficient in traditional methods.

This invention discloses a method and apparatus for shale rock physical modeling. The method includes: determining a maturity index curve based on kerogen maturity correlation curves; determining the density, bulk modulus, and shear modulus curves of kerogen based on discrete data of kerogen modulus and the maturity index curve; determining the porosity curves of organic and inorganic matter based on the adsorbed gas and free gas content curves and the maturity index and density curves of kerogen; determining the dry rock density, P-wave and S-wave velocities, and shear modulus curves based on the density, bulk modulus, and shear modulus curves of kerogen, clay minerals, and other minerals, as well as the total porosity curve, and the porosity curves of organic and inorganic matter; and determining a shale rock physical model based on the dry rock density, P-wave and S-wave velocities, and shear modulus curves, and the bulk modulus and density curves of the mixed fluid. This method enables the reasonable establishment of a shale rock physical model based on the changes in organic matter during the maturation process.

The application discloses a deep coal bed gas reservoir high brittleness sweet spot area prediction method, system and equipment, relates to the oil and gas and coal bed gas geophysical exploration field, and the method comprises the steps of: taking dynamic elastic modulus as the independent variable, taking coal bed fracture pressure as the dependent variable, adopting a multiple linear regression method to perform fitting, determining a partial regression coefficient, and thereby constructing a brittleness index model; based on original data of a target area deep coal bed gas reservoir, adopting prestack simultaneous inversion technology and rock physical formula to perform inversion and calculation, obtaining a three-dimensional dynamic Young's modulus data body, a three-dimensional dynamic Poisson's ratio data body and a three-dimensional dynamic shear modulus data body, and substituting into the brittleness index model to obtain a three-dimensional brittleness index data body; according to a brittleness index threshold, dividing a region corresponding to the three-dimensional brittleness index data body to determine a high brittleness sweet spot area. The application can improve the accuracy of predicting the high brittleness sweet spot area of the deep coal bed gas reservoir.

The present application relates to the field of oil and gas field development, in particular to a method and device for constructing a seismic shear transverse wave inversion model and predicting porosity. The method comprises the following steps: constructing a seismic shear transverse wave inversion initial model according to well logging data and seismic data; determining a synthetic seismic record according to the seismic shear transverse wave inversion initial model and a transverse wave reflection coefficient approximation equation; determining an objective function of the seismic shear transverse wave inversion initial model according to the seismic data, the synthetic seismic record and the seismic shear transverse wave inversion initial model; iteratively updating parameters in the seismic shear transverse wave inversion initial model by using the objective function; and determining a final obtained model as a seismic shear transverse wave inversion model. The present application uses a seismic shear transverse wave prestack simultaneous inversion method to obtain reliable shear modulus inversion results; a linear relationship between shear modulus and porosity is obtained by linear regression analysis of well logging data, and the shear modulus inversion results are used to predict the porosity of underground media, thereby providing guidance for subsequent reservoir quantitative evaluation.

This application belongs to the field of reservoir logging evaluation technology, and discloses a method, system and equipment for calculating reservoir water saturation. The method includes obtaining the formation P-wave velocity V0. p and transverse wave velocity V s Based on the longitudinal wave velocity V p and transverse wave velocity V s Calculate the bulk modulus K and shear modulus μ of saturated fluid rock; calculate the bulk modulus K of the rock skeleton of saturated fluid rock. m and shear modulus μ m ; Calculate the bulk modulus K of saturated fluid rock without fluid. d and shear modulus μ d Based on K, K m and K d Calculate the bulk modulus K of pore fluid in saturated fluid rocks. f Based on K f A water saturation model is constructed to achieve quantitative calculation of reservoir water saturation. The method in this application considers the different mineral contents and matrix porosity variations in the reservoir, achieving high calculation accuracy and providing a new approach for the quantitative evaluation of water saturation in complex reservoirs with low resistivity and low contrast.

An optical device may include a light shaping optical element. The light shaping optical element may include a substrate having a shear modulus greater than 15 GPa. The light shaping optical element may include a film chemically bonded to the substrate by a chemical bonding layer having a 5 thickness in a range of 0.1 μm and 20 μm. The film may include a polymer having a refractive index greater than 1.5. A surface, of the film, may include a plurality of features configured to interact with light. The film may have a thickness of greater than 15 μm.

The invention relates to a tire (1) comprising a crown (4) having a crown reinforcement (20), a sublayer (7) and a tread (6). The sublayer (7) comprises a base layer (71) radially outside the crown reinforcement (20), a cap layer (72) radially outside the base layer (71) and a groove bottom elastomer compound layer (73) radially inside the tread (6). The dynamic shear modulus G1*, G3* of the base layer (71) and of the groove bottom elastomer compound layer (73) satisfy G3* > 1.25 x G1*; G1*, G3* are measured at 23°C under alternating shear stress at a frequency of 10 Hz and a deformation of 10%.