277 results about "Shear modulus" patented technology

The invention discloses a landslide construction simulation method based on finite elements, particularly relates to the field of construction simulation, and realizes whole-process dynamic simulation through GTS-NX software. Firstly, a three-dimensional finite element model is established based on geological exploration data, a Mohr-Coulomb elastic-plastic constitutive model is adopted, and the bulk modulus and the shear modulus are calculated through the elastic modulus and the Poisson's ratio. The initial ground stress is simulated by adopting a self-weight stress field method, and the initial displacement influence is eliminated by adopting a displacement difference method. In construction process simulation, the unit passivation / activation technology is adopted to accurately reproduce the excavation and support time sequence, and cyclic calculation of excavation-stress release-support-balance is achieved. In nonlinear analysis, superposition of an elastic stress field and a plastic stress field is considered, and an unloading influence factor is introduced to correct anisotropy of a deformation modulus. A safety coefficient is calculated through a strength reduction method, a multi-working-condition evaluation system is established, a monitoring data fusion and parameter inversion mechanism is developed, and a three-level early warning system is formed.

The invention provides a petroleum drilling geomechanical characteristic estimation method based on deep learning, and aims to solve the problems of high measurement cost and poor real-time performance of shear wave velocity Vs in traditional geomechanical analysis by fusing logging while drilling LWD data and real-time drilling engineering parameters. According to the method, a Transformer model is adopted to carry out depth correction on logging-while-drilling data, depth offset of a drill bit and a logging sensor is eliminated, and real-time drilling parameters such as torque T, bit pressure WOB and drilling speed ROP are combined and input into a multi-layer perceptron MLP network to predict the shear wave speed Vs. And further calculating key geomechanical parameters based on the predicted shear wave velocity Vs. In practical application, the method improves the shear wave velocity prediction accuracy to 97.2%, the mean absolute error MAE of the shear modulus is reduced from 0.186 to 0.059, and the bulk modulus is reduced from 0.189 to 0.040. The method can be used for outputting stratum elastic parameters, optimizing bit pressure, pre-warning well wall instability and adjusting a well track, well drilling safety and efficiency are improved, and meanwhile dependence on an expensive well logging technology is reduced.

The invention discloses an asphalt self-healing performance evaluation method based on an equal modulus process, and belongs to the technical field of asphalt material performance detection and evaluation.The asphalt self-healing performance evaluation method comprises the steps that the linear viscoelastic stress threshold value tau L of asphalt is determined through a linear amplitude scanning test, and control stress tau T is selected for a fatigue test; sequentially implementing a fatigue test I, an intermittent healing period and a fatigue test II, determining a modulus initial value delta0 and a modulus termination value deltaL in an equal modulus process through dynamic shear modulus change data, and calculating a loading frequency difference deltaN corresponding to the equal modulus process; and establishing a self-healing degree index HI in combination with the normalization processing and the intermittent time, and quantifying the recovery of the fatigue resistance of the asphalt. According to the method, the influence of viscous flow is effectively separated through the equal modulus process, fatigue performance recovery related to molecular diffusion is accurately represented, index reliability is verified through the molecular diffusion model, the problem that in the prior art, asphalt anti-fatigue performance recovery cannot be accurately represented is solved, and a scientific basis is provided for research and development of high-performance asphalt materials.

The invention relates to the technical field of computer modeling, in particular to an earthquake resistance and disaster reduction simulation system for a liquefiable foundation. The system comprises a cyclic stress ratio field analysis unit, an excess pore pressure ratio evolution analysis unit and a stress coupling correction unit, the cyclic stress ratio field analysis unit is used for generating a cyclic stress ratio field by using a depth reduction relation; the excess pore pressure ratio evolution analysis unit is used for deducing an excess pore pressure ratio and establishing an evolution relation of the excess pore pressure ratio along with time and depth; and the stress coupling correction unit is used for updating the effective vertical stress value based on the excess pore pressure ratio, synchronously correcting the shear modulus according to the coupling relationship between the shear wave velocity and the excess pore pressure ratio, and feeding back the corrected shear modulus to the excess pore pressure ratio evolution analysis unit. According to the method, the scientificity and engineering applicability of earthquake resistance and disaster reduction of the liquefiable foundation are effectively improved.

The invention relates to the technical field of unconventional shale oil and gas resource exploration, in particular to a shale shear wave velocity estimation method considering clay directional arrangement influence. According to the technical scheme, a shale compaction model is constructed, a shale directional arrangement background medium is formed, an orientation distribution function is used for simulating the elastic tensor of the background medium under different directional arrangement degrees, and the anisotropic speed of the background medium is calculated; calculating a longitudinal wave speed and a transverse wave speed in an equivalent isotropic background medium according to the anisotropic speed, and then calculating a bulk modulus and a shear modulus of the equivalent isotropic background medium; and adding clay-related pores and sand-related pores into an equivalent isotropic rock matrix by using an Xu-White model to obtain a bulk modulus and a shear modulus of dry shale, and finally simulating the shear wave velocity of the shale under the influence of directional arrangement of the clay. According to the invention, a new rock physical model is established to simulate the influence of clay directional arrangement, pore morphology, mineral and fluid properties on longitudinal and transverse wave velocities in shale.

The invention belongs to the technical field of underground geotechnical engineering reconnaissance, and particularly discloses a rock mass shear modulus while-drilling test method and system, and the method comprises the steps: obtaining while-drilling parameters in a rock mass drilling process, carrying out data cleaning and standardization processing on the while-drilling parameters, and extracting key features of the while-drilling parameters; carrying out a shear modulus test experiment on the rock mass to obtain the shear modulus of the rock mass; establishing a rock mass shear modulus while drilling prediction model by using a deep learning space-time dynamic fusion algorithm; on the basis of the rock mass shear modulus while drilling prediction model, a rock mass rotary-cut drilling test system is used for carrying out an on-site surrounding rock drilling test, surrounding rock shear moduli are continuously obtained in real time, the on-site surrounding rock shear moduli are partitioned, and surrounding rock shear modulus partitions are obtained. According to the method, on the basis of multi-dimensional feature fusion and a dynamic attention mechanism, real-time, continuous and high-precision prediction of the rock mass shear modulus is achieved, and the model calculation efficiency and prediction precision are synchronously improved.

The invention relates to the technical field of oil and gas geophysical exploration, and particularly discloses a tight sandstone gas reservoir fluid mobility gradient attribute prediction method and system.The method comprises the steps that a reflection coefficient expression containing a fluid mobility item is constructed, and a formula for calculating fluid mobility through frequency dispersion attributes is deduced; constructing a fluid mobility gradient attribute related to the frequency and the incident angle of the seismic wave; the method comprises the following steps: establishing a double-pore rock physical model, generating a synthetic seismic record, applying frequency variation AVO inversion to the synthetic seismic record, and extracting a bulk modulus dispersion attribute and a shear modulus dispersion attribute; and calculating the fluid fluidity changing along with the frequency and the incident angle, and calculating the gradient attribute of the fluid fluidity based on a gradient attribute calculation formula and the fluid fluidity. According to the method, seismic wave frequency dispersion and attenuation response caused by permeability and gas saturation are fully utilized, the seismic gradient attribute of the fluid fluidity and the calculation method are constructed, and high-precision prediction of the fluid fluidity by applying seismic signal elasticity and frequency dispersion rock physical information is realized.

The invention relates to the technical field of geological exploration, in particular to a deep water ultra-shallow natural gas reservoir rock physical shear wave velocity prediction method, which comprises the following steps: calculating the equivalent bulk modulus, shear modulus and density of a mixed matrix of various minerals according to the shale content; calculating the bulk modulus and the shear modulus of the skeleton; calculating the bulk modulus and the shear modulus of the saturated rock through the model, and calculating the density of the saturated rock through the density of the rock matrix; distributing longitudinal and transverse velocities in a suspension state and a bearing state, and calculating equivalent longitudinal and transverse wave velocities; taking the longitudinal wave velocity as a known condition, and constructing an inversion objective function by using the equivalent longitudinal wave velocity; comparing the actual longitudinal wave speed with the calculated longitudinal wave speed; and realizing nonlinear inversion of the shear wave velocity according to an algorithm, and obtaining the shear wave velocity of the work area to be inverted. According to the method, rock physical models in a particle suspension state and a bearing state are considered at the same time, and shear wave velocity prediction and direct inversion of the shear wave velocity of the deepwater ultra-shallow natural gas reservoir are realized.

The invention relates to the technical field of slope reinforcement, and particularly discloses a slope reinforcement system and method for building municipal administration, slope rock mass strain time sequence data is collected through a distributed optical fiber sensing system, slope deformation monitoring data is obtained through a spaceborne interferometric synthetic aperture radar, and a three-dimensional deformation monitoring data set is constructed; an LSTM-rock constitutive model fusing a DFOS strain field and an InSAR deformation field is established, strain time sequence data and deformation data are input into the model for three-dimensional stress field inversion, and shear modulus degradation rate parameters, creep coefficient parameters and displacement increment prediction data are output; shear modulus degradation rate parameters, creep coefficient parameters and displacement increment prediction data are processed, regulation and control strategy codes of anchor rod tensioning force gradients and grouting pressure intervals are generated and uploaded to a control terminal, the precision and timeliness of slope stability analysis are remarkably improved, accurate intervention can be conducted in time according to potential risks of a slope, and the stability of the slope is improved. The probability of geological disasters such as landslide is reduced, and life and property safety of people is protected.

The invention provides a method and a device for determining a fracture fluid indication factor of a deep coal bed gas reservoir, and relates to the technical field of deep coal bed gas exploration. The method comprises the following steps: firstly, constructing a deep coal bed gas reservoir approximate PP wave reflection coefficient equation directly expressed by six reservoir parameters including wave impedance, longitudinal wave velocity, shear modulus, anisotropic parameters, fracture fluid indication factors and fracture tangential weakness; then, a target functional used for inverting reservoir parameters of the deep coalbed methane reservoir is constructed in combination with synthetic azimuth gather seismic data of the deep coalbed methane reservoir of the target work area, and finally, the fracture fluid indication factor of the deep coalbed methane reservoir can be directly inverted by solving the target functional. According to the method, the problem of error accumulation existing in indirect inversion of the fracture fluid indicator factor is avoided, so that the technical problem of poor inversion result accuracy existing in an existing determination method of the fracture fluid indicator factor of the deep coal bed gas reservoir can be effectively relieved.

The invention relates to a dot matrix cell element filling structure design method considering a material shearing effect, which comprises the following steps: acquiring a plurality of dot matrix cell elements, and extracting configuration data of each dot matrix cell element; training a U-Net neural network by using the configuration data to obtain a dot matrix cell element configuration reverse generation model; establishing a cantilever beam flexibility minimization objective function considering the shear modulus, and adopting a variable density topology to optimize a cantilever beam example to generate a global stiffness matrix of the shear modulus containing dot matrix cell elements; and performing reverse mapping on the global stiffness matrix by using the dot matrix cell configuration reverse generation model to obtain the cell configuration of the dot matrix cell filling structure. According to the method, the dot matrix filling structure design capable of considering the cell shear modulus distribution is realized.

The invention belongs to the field of geotechnical engineering, and provides a rock-soil body parameter intelligent test method and system based on artificial intelligence, and the method comprises the steps: obtaining the shear experiment data of a rock-soil body under different environment conditions, and calculating an equivalent shear weakening coefficient according to the experiment data; the shear modulus of the material is adjusted by weakening the shear strength of the rock-soil body through the water weakening factor; deriving a shear damage constitutive model under the action of the dynamic water head, and calculating the shear stiffness of the rock-soil body; establishing a Gaussian process regression model through experimental data and the shear stiffness obtained through calculation; carrying out global optimization on the Gaussian process regression model by adopting a self-adaptive stochastic optimization algorithm; dynamically adjusting model parameters; and outputting a final optimized rock-soil body parameter prediction result.

A clampless synthetic jet actuator includes a cavity layer having an internal cavity for reception of a fluid volume and an orifice providing a fluid communication between the cavity and an external atmosphere; and an oscillatory membrane having a piezoelectric material adapted to deflect the oscillatory membrane in response to an electrical signal. The cavity has an opening in at least one planar surface of the cavity layer, and the cavity layer and the oscillatory membrane are joined by a high strength, low shear modulus adhesive material with the oscillatory membrane positioned adjacent to the planar surface having the cavity opening and adapted as an enclosing surface to said cavity opening. The oscillatory membrane is adapted to compress and expand a volume within the cavity, based on a deflection generated by the piezoelectric material, for generating a fluid flow between the cavity and the external atmosphere through the orifice.

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 a wafer bonding strength characterization method, and relates to the field of wafer bonding tests.The method comprises the steps that a three-dimensional test model of interface fracture mechanics is built, the total deflection and shear modulus generated by a loading point in the test process are analyzed, and a compliance simulation calculation model corresponding to the three-dimensional test model is generated in combination with the crack length; optimizing the compliance simulation calculation model based on the actual model state of wafer bonding to obtain a compliance calculation model, and constructing an energy release rate calculation model in combination with the relationship between the compliance and the crack length; and loading the bonded sample by using a tensile machine, analyzing the peak load of the bonded sample according to the loading result, and obtaining the bonding strength of the bonded sample in combination with the compliance calculation model and the energy release rate calculation model. According to the method, the sample compliance calculation crack length obtained through experiments is substituted into the compliance calculation model and the energy release rate calculation model to obtain the bonding strength characterization result, the measurement method is simple, and the measurement result is more accurate.

The invention relates to a saturated granular material liquefaction deformation calculation method based on a state evolution model, which comprises the following steps: establishing a saturated granular material liquefaction state evolution model, and setting a state parameter representing system fluidity in the state evolution model as a weighted average value of a historical strain rate function and an excess pore water pressure change rate function; analyzing and determining a shear strain time travel curve, a stress strain curve and a state parameter evolution curve according to the state evolution model; and carrying out saturation granular material liquefaction discrimination according to the state parameters. According to the saturated granular material liquefaction deformation calculation method based on the state evolution model, the Davidenkov model and the unified softening model are introduced to describe shear modulus softening, the liquefaction deformation calculation method is provided, and finally the accuracy of the calculation method is verified through a series of experimental data and simulation data.

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 invention relates to a tyre (1) provided with a crown (4) comprising a crown reinforcement (20), a sublayer (7) and a tread (6). The lower layer (7) comprises a first base layer (71) radially outside the crown reinforcement (20) and a second cover layer (72) radially outside the first base layer (71) and radially inside the tread (6). The dynamic shear modulus G1 * of the first base layer is 1.5 MPa or less, and the dynamic shear modulus of the second cover layer is 5 MPa or more. The thickness E72 of the second cover layer (72) is associated with the maximum thickness ESC under the cut by the following relational expressions: E72 (mm) is greater than or equal to (0.53 * ESC + 0.1), E72 (mm) is less than or equal to (0.47 * esc + 1.1), ESC is in [1; 3.5] mm.

The present application relates to oil and gas geophysical exploration technology field, specifically disclose a kind of tight sandstone gas reservoir fluid mobility gradient attribute prediction method and system, the method includes constructing fluid mobility term's reflection coefficient expression, and deduce the formula for calculating fluid mobility using dispersion attribute, construct and frequency and seismic wave incidence angle related fluid mobility gradient attribute;Establish double-pore petrophysical model, generate synthetic seismogram, apply frequency-variable AVO inversion to the synthetic seismogram, extract bulk modulus dispersion attribute and shear modulus dispersion attribute;Fluid mobility changing with frequency and incidence angle is calculated, based on gradient attribute calculation formula and fluid mobility, fluid mobility gradient attribute is calculated.The present application makes full use of the response of the seismic wave dispersion and attenuation caused by permeability and gas saturation, constructs the seismic gradient attribute and calculation method of fluid mobility, realizes the high-precision prediction of fluid mobility by applying the elastic and dispersion petrophysical information of seismic signal.

The invention discloses a foamed rubber asphalt formula determination method. The method comprises the following steps: S1, constructing a molecular model of a foamed rubber asphalt composite system; s2, performing molecular dynamics simulation on the molecular model to obtain a balanced stable structure configuration; s3, based on the stable structure configuration, under the conditions of different rubber mixing amounts, foaming medium mixing amounts and temperatures, calculating the shear modulus, interface adhesion work and fracture energy of the foam rubber asphalt system; and S4, performing multi-objective optimization by taking the shear modulus, the interface adhesion work and the fracture energy as performance indexes, and determining a combination of the temperature, the foaming medium mixing amount and the rubber mixing amount of the optimal formula of the foamed rubber asphalt. According to the method, the combination of the foaming temperature, the foaming medium mixing amount and the rubber mixing amount is determined through molecular modeling and a multi-objective optimization algorithm, and performance prediction and parameter optimization of the foamed rubber asphalt are achieved.

The invention belongs to the technical field of bridge steel shell hoisting construction, and particularly relates to a fine adjustment device suitable for stability of a gravity center changing curve type steel shell, the fine adjustment device comprises a steel shell, mounting angle blocks are symmetrically arranged on the side face of the upper end of the steel shell, and an adjusting mechanism is arranged at the upper end of each mounting angle block. According to the fine adjustment device, a flexible adjustment structure composed of the magnetorheological elastomer and the electromagnetic coil is arranged, and a steel cable traction adjustment mechanism driven by the hydraulic motor is combined, so that bidirectional precise regulation and control over the stability of the steel shell are achieved, and the shear modulus of the magnetorheological elastomer can be linearly regulated and controlled through the current of the electromagnetic coil; the stress change caused by gravity center shift can be quickly responded, and the dynamic unbalance force can be counteracted in real time.

The invention relates to a tyre (1) provided with a crown (4) which is optimized for an advantageous compromise between drivability and rolling resistance. The crown (4) comprises a crown reinforcement (20), a lower layer (7) and a tread (6). The lower layer (7) comprises a first base layer (71) radially outside the crown reinforcement (20) and a second cover layer (72) radially outside the first base layer (71) and radially inside the tread (6). The dynamic shear modulus G1 * of the first base layer is 1.5 MPa or less, and the dynamic shear modulus of the second cover layer is 5 MPa or more. The thickness of the second cover layer (72) is [20%; 80%].

A titanium alloy plate for elastic sealing and elastic connection and a preparation method thereof belong to the technical field of metal material preparation. The present invention combines multi-stage rolling after room temperature aging, gradual stress release by multiple leveling, and construction of periodic distribution of nanodomains through a specific ratio design to achieve fine control of the material microstructure, thereby giving the titanium alloy plate a low elastic modulus and a high shear modulus. The titanium alloy plate prepared by the present invention has an elastic modulus of 70GPa~90GPa, a shear modulus of 26GPa~40GPa, and a Poisson's ratio of 0.10~0.40. The present invention has unique advantages in the systematic design of organizational control, process sequence and performance optimization, and provides a new technical path for solving the demand for materials with elasticity, strength and stability in extreme environments.

The invention relates to the technical field of ocean energy development, in particular to an underwater suction pile foundation rock-soil spring stiffness analysis method considering the heterogeneous characteristic of sea soil. The method comprises the following steps: S1, establishing a shear modulus depth change model based on a sea soil heterogeneous characteristic, and introducing a rigidity dimensionless parameter to perform regularization processing in consideration of a wall thickness factor of a suction pile apron board; s2, based on a Doherty method, estimating a stiffness dimensionless coefficient group in each direction of the spring through linear interpolation; s3, calculating the dimensionless rigidity values of the springs in all directions based on the rigidity dimensionless coefficient groups in all directions obtained in the S2; and S4, based on the calculation result of S3, converting the dimensionless stiffness value into the actual spring stiffness with dimensions through a dimensionalization formula. By establishing the model of which the shear modulus changes along with the depth, the actual heterogeneity of sea and soil can be reflected more accurately, so that the accuracy of predicting the bearing behavior of the suction pile foundation is improved.

The present invention discloses an incremental forming device and method based on magnetorheological elastomer auxiliary support, comprising a forming tool head, a clamping plate, a magnetorheological elastomer support, a magnetic field generating unit and its controller, and a detachable base mold. The base mold houses the magnetorheological elastomer support, and after the plate is clamped, it is tightly attached to the surface of the magnetorheological elastomer support. The base mold is provided with multiple cylindrical slots around its periphery for accommodating the magnetic field generating unit for exerting an effect on the magnetorheological elastomer. Under the control of the controller, the magnetic field generating unit changes the magnetic field and thereby changes the shear modulus of the magnetorheological elastomer support, thereby supporting the bottom surface of the formed plate. The present invention proposes a method for improving the forming accuracy of incrementally formed workpieces using a magnetorheological elastomer support. Specifically, the magnetorheological elastomer exerts a supporting force on the bottom of the plate, thereby reducing the rebound and associated deformation of the formed part and improving the forming performance of the part.

The invention discloses an oil and gas development favorable area prediction method based on Winsored particle size mean curve simulation, and the method comprises the following steps: based on laser particle size experiment data, employing a Winsored algorithm to process rock particle size data, removing abnormal interference values, and simulating a well hole particle size mean longitudinal curve through inputting logging response parameters by means of an XLSTM-Transform hybrid neural network model; selecting a shear modulus density and a longitudinal and transverse wave velocity ratio as sensitive attribute parameters of a granularity mean value in combination with seismic data, and forming two sets of three-dimensional attribute data volumes in combination with waveform structure inversion; according to the method, model training is carried out on the nonlinear relation between the particle size mean value and the seismic sensitive attribute parameters based on a machine learning method, and finally a Winsored particle size mean value inversion body is formed, so that the spatial distribution rule of a relatively large particle size reservoir can be defined, and effective prediction of a development favorable area is realized.

The embodiment of the application relates to the technical field of sandstone type uranium ore exploration, and particularly relates to a method for determining a favorable area of a sandstone type uranium ore, which comprises the following steps: collecting well logging data of an exploration area of the sandstone type uranium ore, and gradually determining argillaceous content, total porosity of the exploration area, sandstone content of a sand and shale mixed matrix, longitudinal wave time difference, transverse wave time difference and density, equivalent elastic modulus of dry rock of the exploration area, and conversion relationship between longitudinal wave velocity and transverse wave velocity of rock under saturated fluid condition and a transverse wave velocity prediction curve; then, longitudinal wave impedance, velocity ratio of longitudinal wave and transverse wave and a density model are established; according to the model, three-dimensional elastic data bodies of impedance, density and shear modulus of longitudinal wave and transverse wave are determined by inversion; and according to the three-dimensional elastic data bodies, the favorable area of the sandstone type uranium ore is determined. The method for determining the favorable area of the sandstone type uranium ore according to the embodiment of the application can effectively improve the prediction accuracy of a favorable area of a sandstone type uranium ore.

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 present application relates to the geological exploration technical field, more particularly, to a deep water super shallow layer natural gas reservoir rock physics shear wave velocity prediction method, comprising: calculating equivalent bulk modulus, shear modulus and density of a plurality of mineral mixed matrix according to shale content; then calculating skeleton bulk modulus and shear modulus; then calculating saturated rock bulk modulus and shear modulus through a model, and calculating saturated rock density through rock matrix density; distributing longitudinal and transverse velocities of suspended state and bearing state, and calculating equivalent longitudinal and transverse wave velocities; using equivalent longitudinal wave velocity to construct an inversion objective function with longitudinal wave velocity as a known condition; comparing actual longitudinal wave velocity with calculated longitudinal wave velocity; realizing nonlinear inversion of transverse wave velocity according to an algorithm, and obtaining transverse wave velocity of a to-be-inverted work area. The present application simultaneously considers rock physics models of particle suspended state and bearing state, and realizes transverse wave velocity prediction and deep water super shallow layer natural gas reservoir transverse wave velocity direct inversion.

The invention relates to the technical field of automatic conveying and robot end executors, in particular to a conveying device and method for automobile hub bearing machining. The device comprises a multi-axis mechanical arm, a pneumatic control cabinet and a grabbing mechanism composed of a rigid framework, an inner-layer elastic bag body and an outer-layer blocking bag body filled with ceramic particles. The core is that a vacuum and positive pressure loop is mechanically coupled through a differential pressure balance valve, and when an outer-layer bag body is vacuumized to generate particle blocking phase change, the positive pressure flow of an inner layer is linearly adjusted, so that dynamic balance of inner supporting force and outer shrinkage force is realized; high shear modulus after phase change of particles is utilized to prevent high-speed conveying slippage, meanwhile, extremely low net radial force is maintained, elliptical deformation of the thin-wall bearing is effectively avoided, and machining precision is ensured.