330 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 digital rock core equivalent characteristic parameter prediction method based on voxel and point cloud combination. The method specifically comprises the following steps: calculating equivalent characteristic parameters of a digital rock core by using a finite element method and a lattice Boltzmann method; and converting the pore and matrix contact surface into a point cloud data set. And calculating point cloud feature parameters. A point cloud information constrained multi-gating multi-expert hybrid prediction network is constructed, and a same variance uncertainty loss function is constructed. And training the prediction network by taking the bulk modulus, the shear modulus, the longitudinal wave velocity, the transverse wave velocity, the porosity, the density and the permeability as prediction targets until the loss function is converged. According to the technical scheme, the problems that crosstalk is generated between tasks and the prediction precision is low when digital core equivalent characteristics are predicted through multiple parameters in the prior art are solved.

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 discloses a meshless EFGM and style migration-based multi-material structure topological optimization method, which comprises the following steps of: (1) inputting material attributes such as Young modulus, shear modulus and Poisson's ratio of a structure, and discretizing a design domain by using meshless nodes; (2) transforming the designed meshless density field to obtain a physical density field, and performing length scale filtering; (3) an alternating active phase algorithm is executed, and the displacement field, the system flexibility and the related sensitivity of the structure are solved based on the meshless EFGM; (4) executing a neural style migration program to calculate the difference between the current topological structure and the reference style image, and calculating the derivative of the physical density field of the topological structure to the network parameter; and (5) updating a design variable by using a moving asymptote algorithm, and judging whether an optimization loop is converged or not. According to the method, based on meshless EFGM and style migration multi-material structure topological optimization, topological structures with different artistic styles can be designed, and the method has engineering application value.

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 relates to the field of 3D printing soles, in particular to a foot region-based topological structure design method for 3D printing soles, which comprises the following sequentially executed steps: S1, acquiring a topological structure database; s2, the elastic modulus E, the rebound rate Re, the shear modulus G, the relative density # imgabs 0 #, the yield strength # imgabs 1 #, the compression strength # imgabs 2 #, the damping coefficient # imgabs 3 #, the fatigue life # imgabs 4 #, the torsional rigidity # imgabs 5 # and the energy absorption efficiency # imgabs 6 # corresponding to each topological structure in the topological structure database are obtained; s3, dividing the sole into a half sole region, an arch region and a rear sole region, and constructing a selection function # imgabs7 # for selecting a topological structure for each region of the sole; s4, according to the performance requirements of all the subareas of the shoe sole, all factors of a selection function # imgabs8 # of all the subareas of the shoe sole are set, filling lattice structures used for filling the half sole area, the arch area and the rear sole area of the shoe sole are selected respectively, and a 3D shoe sole printing scheme is obtained; and the quality of the shoe sole is effectively ensured, so that various parameters better meet the design requirements.

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 discloses a variable stiffness pipe and a continuum robot variable stiffness module, and relates to the technical field of continuum robotics.The variable stiffness pipe comprises a flexible inner pipe and a flexible outer pipe arranged outside the flexible inner pipe in a sleeving mode, and a phase change material and a flexible heat exchange device are arranged between the flexible inner pipe and the flexible outer pipe; the heat exchange device can exchange heat with the phase-change material and enable the phase-change material to be changed from a solid phase to a liquid phase, a flexible pipe is further arranged in the filling space, a plurality of hollow groove sets are formed in the pipe wall of the flexible pipe in a penetrating mode, the hollow grooves are filled with the phase-change material, the flexible pipe can be freely bent when the phase-change material is in the liquid phase, and the flexible pipe can be bent when the phase-change material is in the solid phase. According to the variable-stiffness continuum robot, the shear modulus resisting shear deformation under the shear stress is converted into the compression modulus resisting compression deformation under the compression stress, the stiffness of the variable-stiffness pipe can be improved, the variable-stiffness continuum robot comprises the variable-stiffness pipe and a control mechanism, and the variable-stiffness continuum robot can be controlled by controlling the stiffness of the variable-stiffness pipe to change. And the motion control module is matched to move towards the target position and control the surgical tool.

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 provides an anisotropy characterization method based on an improved Christoffel equation, and belongs to the technical field of oil and gas field development. The method comprises the following steps: establishing a Zoeppritz equation precision analysis model under a complex anisotropy theory suitable for a compact conglomerate oil reservoir in a to-be-researched area; establishing an influence model of anisotropy on elastic parameters and an influence model of the elastic parameters and rock density on reflection coefficients; establishing an anisotropic medium phase velocity equation according to a Christoffel equation; based on the shear modulus and density change, converting an anisotropic medium phase velocity equation from a disturbance coefficient form into a reflectivity term form, and characterizing the anisotropy of the anisotropic medium by using the anisotropic medium phase velocity equation in the reflectivity term form. The method is high in prediction precision, and is higher in prediction precision especially under the condition of a small incident angle.

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 an organic matter-rich rock physical modeling method and system considering multiple pore media, and the method comprises the steps: setting initial bulk moduli and shear moduli of different minerals, and obtaining the bulk modulus and shear modulus of a rock skeleton; obtaining a predicted organic carbon content based on a logging curve; the kerogen content is obtained by predicting the organic carbon content; the porosity of communicating holes in a rock skeleton is corrected through the content of kerogen; adding kerogen as a solid filler into the rock skeleton; different pore types are distinguished, and pores are added into the rock skeleton; bound water is added into the rock skeleton; adding a movable fluid into the rock skeleton; determining the bulk modulus and shear modulus of minerals in the rock skeleton; and the longitudinal and transverse wave speed prediction effect is optimized. Organic carbon is converted into kerogen, the kerogen is added into a rock skeleton to correct the content of dry communicating holes and bound water pores, and fluid is added by considering different pore conditions, so that the accuracy and reliability of a model speed prediction result are improved.

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 invention belongs to the technical field of amorphous alloy dynamic relaxation behavior modeling, and particularly relates to a method for predicting defect concentration of amorphous alloy through dynamic relaxation analysis. A fractional order viscoelastic model is adopted to simulate the dynamic relaxation behavior of the amorphous alloy, model parameters are few, and the defect concentration evolution of the amorphous alloy in the dynamic relaxation process can be reflected; the established fractional order viscoelastic model can be verified through a dynamic relaxation experiment, and the evolution of defect concentration is obtained by fitting the experiment. According to the method, multiple key parameters such as the high-frequency shear modulus, the low-frequency shear modulus and the relaxation time are comprehensively utilized, and quantitative analysis of the complex interaction between the microstructure and the macroscopic performance of the material is achieved. The verification method not only proves the reliability of the model, but also can quantitatively calculate the evolution of the defect concentration. The application of the technology in alloy design and preparation stages provides a new theoretical guidance and experimental method for prediction and evaluation of amorphous alloy performance.

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 discloses a method for determining microscopic parameters of a multi-scale block discrete element geological model, which belongs to the field of geotechnical engineering, and comprises the following steps: S1, establishing a cylinder model for a compression model of geological rock, and carrying out block subdivision and gridding; s2, setting shear modulus, bulk modulus, normal rigidity, tangential rigidity, internal friction angle and joint roughness parameters for the established cylinder model; s3, the loading speed during compression is simulated for the cylinder model, and confining pressure is given; s4, carrying out compression simulation on the cylinder model until the cylinder is damaged; s5, obtaining a continuous yield curve according to a compression simulation condition, establishing a data set, and constructing a convolutional neural network model; s6, geologic model parameters are determined according to the convolutional neural network model; the discrete element microscopic parameters can be quickly and accurately calibrated, the influence of multiple scales on the discrete element microscopic parameters is considered, and the problem that the parameter calibration process of a conventional discrete element method is tedious and time-consuming is solved to a certain extent.

The invention discloses an overpressure stratum rock physical modeling method and system considering multiple pore media. The method comprises the following steps: constructing a rock skeleton; adding bound water pores into the rock skeleton; adding bound water modulus into the rock skeleton containing bound water pores; the proportion of flexible pores and the flexible porosity are calculated firstly, and then the flexible pores are added into the rock skeleton containing the bound water modulus; adding the rigid pores into the rock skeleton containing the flexible pores; adding a movable fluid to the dual-pore rock skeleton; determining bulk moduli and shear moduli of various minerals of the saturated fluid equivalent model; based on the volume modulus and the shear modulus of various minerals of the saturated fluid equivalent model, optimizing and adjusting the irreducible water pore aspect ratio and the rigid pore aspect ratio. According to the method, on the basis of predicting the formation pore pressure, bound water pores and moduli are added into a rock skeleton, and fluid is added by considering different pore conditions, so that the accuracy and reliability of a model speed prediction result are improved.

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.