361 results about "Transverse wave" patented technology

The invention provides an airfield pavement detection method based on an earthquake background noise imaging technology, and relates to the technical field of airfield pavement detection. Comprising the following steps: acquiring seismic background noise data of an airport pavement to be measured; preprocessing the seismic background noise data to obtain preprocessed noise data; carrying out cross-correlation calculation on the preprocessed noise data and carrying out empirical Green function extraction; according to the empirical Green function, a surface wave group velocity frequency dispersion curve is extracted by adopting spatial autocorrelation and multiple filtering methods; inverting shear wave velocity distribution of each layer of the pavement based on the surface wave group velocity dispersion curve, and constructing a three-dimensional velocity model; determining a shear wave velocity distribution diagram according to the three-dimensional velocity model; and determining a detection result of the airfield pavement to be detected according to the transverse wave velocity distribution diagram. According to the invention, the problems of low detection precision and poor real-time performance of a common detection technology in the prior art are solved.

The invention relates to the technical field of cast-in-place pile detection, and discloses a cast-in-place pile integrity detection system based on a multi-mode ultrasonic array, and the system comprises a deformable multi-mode ultrasonic probe which is used for adaptively adjusting the posture through an intelligent material driver; the intelligent coupling injection module is used for automatically cleaning the inner wall of an internal channel of the cast-in-place pile; the multi-source data processing module is used for receiving the original ultrasonic waveform data and the real-time position information of the ultrasonic probe; the deep learning recognition module is used for generating a recognition result including defect categories and preliminary features; the defect positioning and evaluating module is used for constructing a defect model comprising defect space coordinates, geometric dimensions and severity parameters; and the diagnosis decision module is used for providing targeted repair suggestions. The ultrasonic signals are transmitted and received through the integrated longitudinal wave transducer, the transverse wave transducer and the Rayleigh wave transducer, the internal structure information of the pile body is obtained, in this way, the ultrasonic beam coverage range is expanded, and the detection blind area of the area between the sounding pipes in a traditional method is effectively made up.

The invention discloses a multi-wave chromatography and reflection combined detection method and device for a thin-covering-layer urban active fault and a medium. The method comprises the steps that longitudinal wave seismic data and transverse wave seismic data are collected; recording vertical component data based on the longitudinal wave seismic data for first arrival travel time pickup and tomography inversion to obtain a longitudinal wave velocity structure model Vp; extracting Rayleigh surface wave frequency dispersion through the vertical component data and carrying out multichannel surface wave analysis inversion to obtain a transverse wave velocity structure model Vs; calculating a longitudinal and transverse wave velocity ratio parameter structure model Vp / Vs, and calculating to obtain a Poisson's ratio parameter structure model v; obtaining a longitudinal wave (P wave) reflection profile and a transverse wave (S wave) reflection profile; identifying and summarizing into an interpretation fracture set Fc, and recording key elements; and by taking the interpretation fracture set Fc as a structural skeleton, completing unified registration and superposition display on Vp, Vs, Vp / Vs and v, a longitudinal wave reflection profile and a transverse wave reflection profile, and outputting a shallow underground structure comprehensive interpretation map of the thin covering layer region.

The invention discloses an ultrasonic orthogonal scanning measurement method for mechanical properties of a fiber reinforced composite material. The method comprises the following steps: aiming at a composite material unidirectional plate to be detected, fixing receiving (transmitting) points on the surface of one side of a material, positioning the transmitting (receiving) points on the surface of the other side of the material, performing linear scanning along any two orthogonal directions, and recording transmission quasi longitudinal wave and quasi transverse wave time domain waveform signals which are acquired by combining each pair of transmitting and receiving points and are propagated along different paths; establishing an acoustic model for quantitatively describing the quantitative relationship between the ultrasonic trend and the independent elastic constant, thickness and fiber direction angle of the to-be-tested fiber reinforced resin matrix composite so as to simulate an ultrasonic data acquisition experiment and generate a corresponding simulated ultrasonic data set; and updating the independent elastic constant, the thickness and the fiber direction angle value of the composite material by taking the similarity degree between ultrasonic data sets obtained by experiments and simulation as a target function. According to the invention, multi-parameter high-precision in-situ nondestructive measurement of mechanical properties, thickness and fiber orientation of materials can be synchronously realized.

The invention provides an azimuth transverse wave remote detection data processing method, system and device and a medium. The method comprises the steps that an instrument is adopted to collect novel four-component transverse wave data (xx, xy, yx and yy) of a target well section; under a coordinate system (x, y) of the instrument, synthesizing an XX reflected wave signal with an angle defined relative to the x-axis direction of the instrument by using the orthogonal dipole four-component reflected signal, and defining the XX reflected wave signal as an angle when the reflected wave signal reaches the maximum amplitude; obtaining two cross component signals xy and yx by using novel four-component shear wave data (xx, xy, yx and yy), performing sliding windowing on the cross component signals xy and yx, performing Fourier transform on the signals in the window to obtain phase spectrums, and comparing the phase spectrums of the two cross component signals to obtain an actual phase difference; according to a novel four-component data combination mode, changing the orientation of the reflector, theoretically calculating the theoretical phase difference between the two cross component signals xy and yx, and establishing a rule chart of the cross component signals along with the orientation change of the reflector outside the well based on the theoretical phase difference; and judging the real azimuth angle of the reflector according to the rule plate.

The invention discloses a loess collapsibility evaluation method and system based on a geophysical prospecting test technology, and relates to the field of land exploration, and the method comprises the steps: laying regular detection grids in a to-be-evaluated loess site, and constructing a site geographic coordinate system; collecting Rayleigh wave signals in real time, inverting a transverse wave velocity profile, and collecting apparent resistivity data; a shallow soil sample is drilled, soil property parameters are measured, and a model is constructed according to the mapping relation between the field geophysical prospecting parameters and the soil property parameters; inputting the acquired data into the wave velocity-water content correlation model and the resistivity-dry density correlation model to generate a water content distribution field and a dry density distribution field; and calculating the collapsibility of loess in each detection grid based on a geophysical prospecting response equation of the collapsibility coefficient, outputting a collapsibility coefficient contour cloud picture, and judging the collapsibility grade of each grid and the distribution range of collapsed loess. The method has the advantages that the collapsibility distribution field and the contour cloud picture are generated through accurate non-intrusive data acquisition and model analysis, and a scientific basis is provided for engineering construction.

The invention discloses a steel rail stress measuring system based on electromagnetic ultrasonic orthogonal transverse waves. The steel rail stress measuring system comprises an electromagnetic ultrasonic probe and a signal processing unit, the electromagnetic ultrasonic probe is configured to be an orthogonal coil group with orthogonal axes, the electromagnetic ultrasonic probe generates eddy current under the excitation of alternating current and generates a first transverse wave and a second transverse wave on the steel rail, the propagation directions of the first transverse wave and the second transverse wave are both vertically downward from the center of a rail head of the steel rail, the vibration direction of the first transverse wave is the length direction of the steel rail, and the vibration direction of the second transverse wave is the length direction of the steel rail; the vibration direction of the second transverse wave is the width direction of the steel rail head, and the vibration direction of the first transverse wave and the vibration direction of the second transverse wave are perpendicular to each other to form an orthogonal relation; and the signal processing unit is used for synchronously receiving echo signals of the first transverse wave and the second transverse wave, calculating a propagation time difference between the first transverse wave in the length vibration direction and the second transverse wave in the width vibration direction, and evaluating the axial stress of the steel rail according to the propagation time difference between the first transverse wave and the second transverse wave.

The embodiment of the specification discloses a self-adaptive variable grid forward modeling method for middle-deep dry hot rock mass. p , a transverse wave velocity V s and a medium density p model, pre-setting forward modeling parameters; performing self-adaptive variable grid processing on the velocity model, determining a mapping relationship between coordinate systems, and determining a wave equation under variable grid based on the mapping relationship; performing self-adaptive variable grid processing on the velocity model, determining a mapping relationship between coordinate systems, obtaining the underground medium longitudinal wave velocity, transverse wave velocity and density after variable grid, determining a wave equation under variable grid based on the mapping relationship, and generating final regular grid horizontal direction longitudinal wave field, horizontal direction transverse wave field, vertical direction longitudinal wave field and vertical direction transverse wave field information by using the mapping relationship reversely according to the wave field information in each direction at a specific moment after the variable grid, so that the memory occupation is small and the calculation speed is faster.

The invention relates to the technical field of stress detection, in particular to an acoustic nondestructive testing method and system for bolt tightness, and the method comprises the following steps: transmitting longitudinal waves and transverse waves to a bolt without pretightening force, and calculating the propagation time ratio M of the longitudinal waves and the transverse waves in the bolt without pretightening force under the environment temperature change condition; transmitting longitudinal waves and transverse waves to the bolt with the pre-tightening force, and calculating the propagation time TP and TS of the longitudinal waves and the transverse waves in the bolt with the pre-tightening force under the environment temperature change condition; and calculating the stress sigma of the bolt according to the propagation time ratio M of the longitudinal wave and the transverse wave in the bolt without the pre-tightening force, the propagation time TP and TS of the longitudinal wave and the transverse wave in the bolt with the pre-tightening force and the effective clamping distance of the bolt under the environment temperature change condition. According to the invention, signal interference caused by temperature change and processing errors can be overcome, and the detection precision of the bolt stress is obviously improved.

The invention discloses a floater array and lever fulcrum adjustable bidirectional wave energy collecting device, and belongs to the technical field of wave energy power generation. The device comprises a carrying platform, an energy capturing device, a lever conversion device and a wave energy conversion device. The energy capturing device is hinged to one end of the lever conversion device through a multi-direction rotating mechanism and comprises a floater array mounting disc and a plurality of gyro type floaters detachably mounted on different sites of the floater array mounting disc, and an adjustable array is formed. The lever fulcrum position of the lever conversion device is adjustably installed on the carrying platform, and the other end of the lever conversion device is in transmission connection with a pull rod of the wave energy conversion device. The wave energy conversion device is of a low-friction sliding sealing ring and guide ring structure. Different wave conditions are adaptively matched through an adjustable floater array and a lever fulcrum, and longitudinal and transverse wave energy is captured by utilizing a lever conversion device and an independent hydraulic cylinder driving mechanism; through a low-friction sealing structure and a guide ring, the mechanical loss is obviously reduced, and the energy conversion efficiency is improved; the device is especially suitable for a low-energy-density wave environment, and the energy capture and conversion efficiency is remarkably improved.

The invention discloses a tight sandstone shear wave prediction method based on a fluid saturation dual fracture coupling model, and relates to the technical field of earth exploration physics. According to the method, a saturated rock physical model containing two groups of vertical orthogonal fracture fluids is constructed based on a Chapman multi-scale fracture medium theory framework, and an inter-fracture fluid mass distribution function is introduced to construct a dual-fracture coupling model based on fluid saturation. According to the method, conventional logging information is used as prior information, a rock physical model is used as a drive, an actual longitudinal wave speed and a simulated transverse wave speed are used as nested constraint conditions, a transverse wave speed prediction objective function is constructed, the tight sandstone transverse wave speed and the reservoir multi-group fracture density are estimated, a simulated annealing particle swarm optimization algorithm is introduced, and the reservoir multi-group fracture density is predicted. And the global optimization capability and the local convergence efficiency are enhanced. According to the method, the shear wave velocity prediction error can be effectively reduced, meanwhile, reservoir microstructure parameters are provided, and effective support is provided for reservoir fluid property judgment, lithology accurate recognition and underground fracture system quantitative description.

The invention discloses an ultrasonic double-wave detection and monitoring method and an ultrasonic double-wave transducer, and the ultrasonic double-wave transducer comprises a piezoelectric element which is used for exciting a longitudinal wave signal and a transverse wave signal at the same time under the excitation of a single electric pulse; the backing layer is positioned on the back surface of the piezoelectric element and is used for absorbing longitudinal wave energy radiated to the back surface by the piezoelectric element; the matching layer is arranged between the piezoelectric element and the tested workpiece and is used for acoustic impedance matching; the electrical connection device is used for connecting an external excitation generator and receiving equipment; and the metal shell is used for packaging the piezoelectric element, the backing layer, the matching layer and the electrical connection device and is provided with a structure for applying pre-tightening force. According to the invention, dual-mode excitation is realized through a single piezoelectric plate structure, and the efficiency, precision and reliability of dual-wave ultrasonic detection are improved.

The invention relates to the technical field of ultrasonic stress measurement, and discloses an ultrasonic axial force high-speed real-time measurement system which comprises a core processor module which controls a transducer to alternately transmit and receive longitudinal wave and transverse wave echo signals and calls a fingerprint template established based on a geometric structure of a bolt to perform cross-correlation operation so as to determine transit time, according to the method, by constructing the acoustic characteristic normalization ratio, the influence of uniform temperature change is inhibited on the aspect of the measurement principle, and the inherent problems of model misalignment and error amplification in a traditional compensation mode are avoided; echo positioning is carried out by using geometric fingerprints of the bolt, a filtering algorithm with high calculation amount is replaced, the reliability of the system is improved, and high-precision measurement can be realized on a low-power-consumption general processor.

The invention discloses a resonator and a filter, and belongs to the technical field of resonators. The resonator comprises a supporting layer, a piezoelectric layer, an interdigital transducer and a first thickening part, the interdigital transducer comprises a first true finger electrode, a first false finger electrode, a second true finger electrode and a second false finger electrode, the first true finger electrode and the second false finger electrode are oppositely arranged to form a first gap, and the second true finger electrode and the first false finger electrode are oppositely arranged to form a second gap. Forming a second gap; the orthographic projection of the first thickening part on the piezoelectric layer is located in the orthographic projection of the first gap on the piezoelectric layer, and / or the orthographic projection of the first thickening part on the piezoelectric layer is located in the orthographic projection of the second gap on the piezoelectric layer; the first thickened portion is spaced apart from the true finger electrode and the false finger electrode. The first thickening parts are arranged in the gaps of the finger strip ends of the interdigital transducer, transverse waves generated by the resonator can be reflected back to the crossed area of the true finger electrodes, transverse wave mode suppression is achieved, and the Q value of the resonator is increased.

The invention relates to the technical field of coal reservoir development, in particular to a well-seismic data collaborative inversion and reservoir prediction method based on a rock physical model. The method comprises the following steps: acquiring well logging data and seismic data of a target reservoir, preprocessing the data, and ensuring the matching consistency of the data in time and depth; a dynamic rock physical model is constructed, reservoir heterogeneity parameters are introduced into the model, and the heterogeneity parameters are represented through rock core experiments or reservoir physical property analysis and used for describing the dynamic relation between the porosity, the permeability and the water saturation and the elastic parameters; on the basis of the dynamic rock physical model, well logging constraint and seismic reflection information in a well are jointly optimized by adopting an adaptive collaborative inversion algorithm to obtain three-dimensional distribution of longitudinal wave velocity, transverse wave velocity and density; by introducing a dynamic rock physical model, an adaptive collaborative inversion algorithm and a multi-scale convolutional neural network and combining well-seismic data joint processing, the prediction precision and resolution of reservoir physical properties can be improved.

The invention discloses a viscoelastic wave reverse time migration imaging method based on finite difference algorithm solution, and the method comprises the steps: S1, combining with the complex modulus of a constant Q model, and deriving a viscoelastic wave attenuation equation suitable for finite difference algorithm solution through introducing weighting function approximation; s2, establishing a viscoelastic wave compensation equation by introducing a compensation item for compensating energy attenuation when seismic waves are propagated in a viscoelastic medium, and combining the wave field compensation item with low-pass filtering for calculation to realize stable compensation of a wave field; s3, performing longitudinal and transverse wave field separation on the seismic source wave field and the detector wave field; s4, applying a seismic source normalization cross-correlation imaging condition to the separated wave field to obtain an attenuation compensation reverse time migration imaging result; and S5, setting a seismic wave excitation source and a signal receiving device for wave field data acquisition. The method provided by the invention can effectively improve the precision and resolution of seismic imaging in the viscous medium.

A seismic energy estimation method based on generalized spherical wave propagation, relating to the field of earthquake engineering. The method comprises: determining initial seismic total energy and seismic power on the basis of seismic source characteristics and a seismic magnitude; determining a generalized spherical wave equation, and calculating an average energy flow density of propagated waves on the basis of the wave equation of spherical waves; using an earth surface spherical crown, which is projected on the zone of a seismic source surface, as a main impact zone of seismic spherical waves on an earth surface, the main impact zone being equivalent to a square and performing grid division, and calculating the hypocentral distance between the center of each grid and the center of a seismic source so as to form a hypocentral distance matrix; and expressing the generalized spherical wave energy flow density of each grid as the sum of the energy flow density of longitudinal waves and the energy flow density of transverse waves, performing grid subdivision, estimating the average amplitude of each subdivided grid mass unit within a seismic action period, and evaluating the seismic action energy of a site. The present invention estimates the action of seismic energy on the earth surface by defining the generalized spherical wave propagation of seismic source energy, thereby more accurately evaluating the distribution condition of seismic energy on the earth surface.

The invention provides a crack prediction method and device based on seismic data, and the method comprises the steps: dividing the seismic data into a plurality of fan-shaped regions according to a shot point and a detector azimuth angle, and determining an azimuth domain common imaging gather of a converted wave in each fan-shaped region; carrying out fast and slow shear wave separation on the orientation domain common imaging gather, and determining a fast shear wave gather, a slow shear wave gather and an included angle between the crack trend in each stratum crack and the main measuring line direction of the detector; according to the fast transverse wave gather and the slow transverse wave gather, the development direction of the crack of the target stratum is determined; converting the azimuth domain common imaging gathers corresponding to the fast transverse waves and the slow transverse waves into snail gathers according to the azimuth and offset of the fan-shaped region, and correcting the time difference of each gather in the snail gathers; and determining the density of the crack based on the time difference, and determining the development index of the crack according to the density.

The invention discloses a three-dimensional wave flow test harbor basin system, relates to the field of ocean infrastructure engineering test equipment, and aims to solve the problem that complex ocean conditions cannot be truly reproduced. The system comprises a wave making pool, a current making mechanism, a wave making mechanism, a wave absorbing mechanism and a crane mechanism, the flow making mechanism comprises a flow making pump, a flow outlet, a flow inlet and a circulation corridor, the flow outlet and the flow inlet are both communicated with the wave making pool and the circulation corridor, and the flow making pump and the circulation corridor are both located below the wave making pool; the wave making mechanism comprises a transverse wave making device and a longitudinal wave making device which are mounted in the wave making pool, the transverse wave making device and the longitudinal wave making device are respectively provided with an upper layer and a lower layer, and the transverse wave making device and the longitudinal wave making device are vertically arranged; the wave absorbing mechanism is circumferentially arranged and is adjacent to the inner side wall of the wave making pool; the crane mechanism stretches across the wave making pool and is used for hoisting an experimental model.

The invention provides a phase change blasting excitation seismic wave reflection method, a medium, equipment and a product, and relates to the technical field of tunnel engineering, the method comprises the following steps: arranging a detection hole and a plurality of blasting holes in a tunnel face, placing blasting tubes in the blasting holes, placing detectors in the detection hole, and generating seismic waves through phase change blasting; carrying out longitudinal wave and transverse wave separation on seismic wave signals detected by a detector, processing longitudinal waves and transverse waves by adopting a two-dimensional F-K digital filtering method, filtering interference waves, separating effective waves and direct waves, and dividing a data set of the effective waves into a training set and a test set; building a prediction model of the unfavorable geological disaster body in front of the tunnel face based on a support vector machine, and obtaining optimal parameters of the model by using a particle swarm algorithm; and training and testing the model by using the training set and the test set, and applying the tested model to tunnel geological forecast. According to the method, the accuracy of advanced geological forecast of the gas tunnel is improved, and the gas explosion risk is reduced.

The invention relates to the technical field of elastic waves, and discloses an elastic wave full-waveform inversion method, which comprises the steps of inputting observed seismic data into a preset neural network encoder, and extracting to obtain high-dimensional feature representation; inputting the high-dimensional feature representation into a preset neural network decoder to obtain a gradient update value; obtaining an elastic parameter model based on the gradient update value and the initial elastic parameter model; obtaining Lame parameters based on the longitudinal wave velocity, the transverse wave velocity and the medium density; based on a Lame parameter and an elastic wave equation, obtaining synthetic seismic data; obtaining an objective function based on the observed seismic data and the synthesized seismic data; using the target function to iteratively update the preset neural network weight until the loss function reaches a first preset threshold value or the number of iterations reaches a second preset threshold value, and obtaining a target gradient update value; and based on the target gradient update value and the target elastic parameter model, obtaining a final target elastic parameter model so as to relieve discomfort caused by simultaneous inversion of multiple elastic parameters.

The invention relates to the technical field of roadbed detection, and discloses a roadbed compaction quality detection method based on ultrasonic wave collaboration, and the roadbed compaction quality detection method comprises the following steps: collecting full-wave band ultrasonic echo signals, and obtaining current environment data; calculating a longitudinal wave speed, a transverse wave speed and a wave speed ratio, and extracting an attenuation coefficient and a frequency dispersion characteristic of the ultrasonic echo signal to obtain an acoustic characteristic set; inputting the acoustic feature set and the environmental data into an environmental compensation model, outputting a standard acoustic parameter set subjected to temperature, humidity and water content correction, analyzing the standard acoustic parameter set through a soil texture classification algorithm, and judging the current soil texture type; and combining the standard acoustic parameter set and the current soil texture type into a multi-dimensional feature vector, inputting the multi-dimensional feature vector into a compactness calculation model, and calculating to obtain a roadbed compactness value of the current measuring point. According to the method, high-precision compaction degree numerical calculation is realized, and intelligent and visual whole-process support is provided for roadbed construction quality.

The invention discloses a karst detection method based on blasting seismic wave component analysis. According to the method, based on the propagation characteristics of shear waves (transverse waves and S waves) in fluid, a blasting seismic source generated in the tunnel excavation process is used as an active signal source, existence of a karst cave area is preliminarily judged through multi-point synchronous monitoring and analysis of S wave energy proportion changes, arrival time difference, energy distribution and the like of P waves and S waves are analyzed according to the karst cave area, and the karst cave area is determined. The method achieves the recognition and judgment of the spatial distribution characteristics (including the position and the scale) of the karst cave, and finally obtains the specific moisture content of the karst cave in combination with a related theoretical calculation result, thereby achieving the accurate detection of the characteristics of the karst cave in a detection region. According to the method, an excitation source does not need to be additionally arranged, the detection process and conventional blasting construction can be carried out synchronously, and the method has the advantages of being few in measuring point arrangement, easy and convenient to implement, high in efficiency, accurate, small in calculation workload and the like and is suitable for karst detection and geological disaster early warning in the blasting construction period of tunnels such as water conservancy projects and traffic tunnels.

The application belongs to the technical field of tunnel geological advanced prediction, and provides an electromagnetic controllable excitation device and method for longitudinal and transverse wave excitation of a deep-buried tunnel. The excitation device comprises a body, longitudinal and transverse wave excitation plates arranged on the body, and a rotating mechanism arranged on the body. The longitudinal and transverse wave excitation plates are perpendicular to each other, and the rotating mechanism is connected with a mechanical arm. The rotating mechanism is used to realize the operation switching of the longitudinal and transverse wave excitation plates at the same physical position, and longitudinal and transverse wave excitation is performed. The longitudinal and transverse wave excitation functions are integrated in a single excitation device, the structure is compact, and the device is suitable for operation requirements in a narrow space area in a tunnel. The rotating mechanism is used to realize 90-degree rapid switching, the detection efficiency is greatly improved, the physical positions of two times of excitation are completely consistent, and the data comparability is improved.

The invention belongs to the field of earth exploration, and provides an urban underground collapse hidden danger area rapid detection system and method.The urban underground collapse hidden danger area rapid detection system comprises a miniature intelligent sensor array and a central processing unit, the miniature intelligent sensor array comprises a plurality of detection lines arranged side by side, and each detection line comprises a plurality of miniature intelligent sensors arranged at intervals; the adjacent micro intelligent sensors on the same detection line are connected through a towing cable; the distance between the adjacent micro intelligent sensors is adjustable; and the central processing unit is used for receiving the vibration data acquired by each miniature intelligent sensor, performing inversion on the vibration data by using a background noise surface wave imaging algorithm to obtain an underground transverse wave velocity structure model, and identifying a low-speed abnormal region as a collapse hidden danger region. According to the invention, efficient, accurate, wide-coverage and non-sensitive detection of urban underground collapse hidden dangers can be realized.

This disclosure provides a wedge and design method for a multipath acoustic attenuation phased array ultrasonic testing probe. The wedge includes a wedge body, multiple silencing grooves, and a damping block. The extension direction, spacing, and depth of each silencing groove are configured such that at least a portion of the reflected transverse wave generated at the detection surface can be guided to an attenuation interface formed by the groove wall of the silencing groove and the damping block. Furthermore, the reflected longitudinal wave generated at the detection surface undergoes at least six interface reflections within the wedge body before returning to the probe direction. The acoustic characteristics of the damping block are configured to absorb the reflected transverse wave. The reflected transverse wave is attenuated at the attenuation interface through a combination of scattering by the silencing groove and absorption by the damping block. After at least six interface reflections, the acoustic component of the reflected longitudinal wave returning to the probe direction forms a 180° phase difference with the incident longitudinal wave emitted by the probe, thus being attenuated through phase interference.

The invention relates to a bar total cross-section defect detection method, and belongs to the technical field of metal material physical and chemical detection methods. According to the technical scheme, high-frequency ultrasonic transverse waves are used for detecting defects on the surface and near the surface of a round bar, and then a conventional high-frequency ultrasonic C scanning water immersion flaw detection system is used for detecting the detection result of the defects in the bar. The method has the beneficial effects that the bar total cross-section defect distribution condition can be completely evaluated, the defect that a conventional C scanning water immersion ultrasonic detection system cannot detect near-surface and surface defects of a bar is effectively overcome, and more comprehensive and reliable nondestructive detection data are provided for solving quality problems in production.

The invention provides an atomizer control method and device, electronic equipment and a readable medium. To-be-atomized liquid is placed on the surface of a plane structure; inputting the liquid property of the liquid to be atomized into the uniform voltage signal generation model to obtain a uniform voltage signal; the uniform voltage signal is applied to the piezoelectric ceramic vibrator, the piezoelectric ceramic vibrator generates longitudinal wave output of first vibration, the vibration longitudinal wave amplifies the vibration effect by the transduction rod and transmits the vibration longitudinal wave to the plane structure at the upper end of the transduction rod, transverse wave output of third vibration is generated, and liquid to be atomized is converted into a uniform liquid film layer; inputting the target atomization particle diameter, the liquid type of the to-be-atomized liquid, the liquid film size of the uniform liquid film layer and the liquid property into an atomization voltage signal generation model to obtain an atomization voltage signal; the atomization voltage signal is applied to the piezoelectric ceramic vibrator, the piezoelectric ceramic vibrator generates longitudinal wave output of second vibration, then the plane structure generates transverse wave output of fourth vibration, and the liquid film layer is atomized into particles with the target atomization particle diameter and uniform.

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 invention discloses a carbonate rock pore type prediction method and device based on deep learning, and the method comprises the steps: obtaining training well data, building a sample data set, and constructing a CNN network model; inputting the training sample data set into the CNN network model to obtain a logging interpretation result, and dynamically adjusting parameters of the CNN network model, so that the calculation efficiency and prediction precision of the network model are higher; and obtaining the velocity and density of longitudinal and transverse waves of a test well, inputting the velocity and density into the trained CNN network model for inversion, and obtaining a prediction result of the pore type of the carbonate reservoir of the test well. And in combination with the trained CNN network model and the elastic parameters of the pre-stack seismic inversion, obtaining the spatial distribution characteristics of the multiple pore types. According to the method, data testing and learning network structure optimization are carried out on the basis of logging data in combination with a CNN (convolutional neural network) deep learning network, the learning network structure is applied to elastic parameters of pre-stack seismic inversion, and high-precision and stable quantitative characterization of spatial distribution of multiple pore types of the carbonate reservoir is realized.