80 results about "Rayleigh wave" patented technology

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 provides a pavement settlement real-time monitoring and prediction model training method based on multiple physical fields, relates to the field of traffic safety, and solves the technical problems that the whole monitoring period is long, rapid monitoring cannot be performed, and dynamic changes of pavement settlement cannot be reflected in real time in the prior art. The method comprises the following steps: acquiring a Rayleigh wave time sequence signal, a time sequence signal of electric field and magnetic field data and a time sequence signal of natural potential data acquired by a micro-motion, magnetotelluric field and natural potential detection system; feature extraction and multi-source data fusion are carried out on the Rayleigh wave time sequence signals, the time sequence signals of the electric field and magnetic field data and the time sequence signals of the natural potential data, weighted feature vectors are constructed, division is carried out according to time windows, a structured time sequence matrix is formed, joint training is carried out, and a trained prediction model is obtained. The method is used in the process of predicting the specific condition of pavement settlement.

The invention discloses a surface wave frequency dispersion curve intelligent inversion method based on parameter normalization, and relates to the technical field of deep learning. The method comprises the following steps: firstly, generating a plurality of groups of training data pairs in a reference underground model space, then pre-training the training data pairs by using an improved Transform-based PADIT model, mapping an actually measured Rayleigh wave frequency dispersion curve into the reference underground model space, predicting the actually measured Rayleigh wave frequency dispersion curve by using the pre-trained PADIT model, and finally selecting a better inversion result by using a mismatch value. According to the method, the defect that in the prior art, a deep learning method depends on a specific scale sample is overcome, and the efficiency of seismic data Rayleigh wave frequency dispersion curve inversion work and the universality of the model are greatly improved; meanwhile, the deep learning model adopted by the invention can directly process frequency dispersion curve data with variable length, does not need to carry out preprocessing such as interpolation or truncation on input data, is more in line with the condition that the data length is variable in practical application, and has better flexibility and robustness.

The invention discloses a surface defect height quantitative detection method and device based on all-optical laser ultrasound. The method comprises the following steps: respectively exciting and detecting ultrasonic Rayleigh waves in a state that a pulse laser and a laser interferometer are arranged on the same side and different sides of a surface defect of a detected sample piece, extracting the transit time of an incident Rayleigh wave and the transit time of a transmission Rayleigh wave, and obtaining the height of the surface defect on the basis of the transit time of the incident Rayleigh wave and the transit time of the transmission Rayleigh wave. According to the invention, the detection of incident ultrasonic Rayleigh waves, reflected ultrasonic Rayleigh waves and transmitted ultrasonic Rayleigh waves is realized by moving the sample piece or the pulse laser and the laser interferometer through the linear motion platform, the height of the surface defect is calculated, the detected sample piece does not need to be clamped for the second time in the detection process, and high-efficiency in-situ quantitative detection is realized. In addition, nondestructive testing of the tested sample piece is achieved under a thermoelastic mechanism, the contact type defect of traditional ultrasonic testing is overcome, and the device is suitable for special environments such as high temperature, high pressure, intense radiation and strong corrosion.

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.

This paper provides a high-resolution frequency-wavenumber method capable of modal separation. Based on the frequency, wavenumber, and phase velocity characteristics of multimodal Rayleigh surface waves, a method for enhancing high-modal energy by weighting the F-K spectrum with a two-dimensional Gaussian window is proposed. This algorithmic approach enhances high-modal Rayleigh wave information, resulting in simple computation and clear physical meaning. Using probability distribution statistics, a frequency-phase velocity probability distribution is plotted. All extreme points are statistically analyzed, and the median of their phase velocity intervals is taken as the phase velocity of the frequency point in that mode. This more accurately separates and extracts multimodal dispersion curves.

The invention belongs to the technical field related to tunnel anti-seismic analysis, and discloses a green function analytical method and equipment for rayleigh wave dynamic coupling response of an interval tunnel in an inclined field. The method comprises the steps that S1, soil deformation and displacement in the x direction and the y direction caused by Rayleigh wave propagation are converted into tunnel equivalent seismic loads in the x direction and the y direction through a viscoelastic geobasic structure model; s2, a Timoshenko beam model on a viscoelastic Pasternak foundation is adopted to establish a partial differential equation set for controlling axial and transverse dynamic displacement responses of longitudinal discrete units of the interval tunnel; s3, deducing four Green functions representing the bidirectional dynamic coupling response of the tunnel in combination with a Green function method and an artificial spring boundary; and S4, performing integral operation on the Green function by using a superposition principle, and introducing an exponential function term containing time t to obtain axial displacement and transverse displacement of the tunnel and corresponding axial and transverse dynamic coupling response coefficients. According to the invention, the solving efficiency is improved.

The invention belongs to the technical field of surface wave frequency dispersion inversion, and particularly discloses a surface wave multi-modal frequency dispersion curve probability inversion method based on modal self-matching, which comprises the following steps of: dividing apparent frequency dispersion data points into two types, namely a basic modal data set and a higher modal data set; constructing a Bayesian equation for inverting multi-modal dispersion data in a non-likelihood inference method framework; establishing the similarity between the distance measurement quantized frequency dispersion data and the simulation sample, and appointing a method suitable for sampling; and representing the uncertainty of a multi-modal dispersion data inversion result (namely a shear wave velocity profile) based on the obtained posterior sample. According to the method, the uncertainty of the shear wave velocity profile obtained by inverting the Rayleigh wave multi-mode dispersion curve can be well quantified, the identifiability of the shear wave velocity profile is improved, and a wrong inversion result caused by misidentification of the mode is avoided by automatically matching the mode number.

The present application relates to geological exploration technical field, disclose a kind of thick loess plateau area coalfield 3D seismic exploration method, comprising the following steps: S101, artificial seismic source shooting record and superficial Rayleigh wave detector data are collected;S102, grid division is carried out to target area, and set to be inverted parameter;S103, vertical ray path time estimation, multilayer medium dispersion forward and poststack energy estimation are carried out;S104, according to first wave arrival time observation value, Rayleigh wave observation dispersion curve, theoretical ray path time, phase velocity and poststack energy generates multi-target error function;S105, target area is divided into three subdomains, differential evolution iteration is carried out, until local convergence;S106, establish a plurality of parallel annealing chain, set chain temperature and gradually decrease by chain, optimize to be inverted parameter, output optimal to be inverted parameter;S107, the static correction time difference and absorption compensation coefficient of each acquisition point are calculated.The present application improves coal seam structure imaging precision and exploration data reliability under complex surface conditions.

The present application is suitable for the field of seismic surface wave exploration technology, and provides a passive source and active source Rayleigh wave combined exploration method and system, comprising the following steps: collecting data, the data including passive source data and active source data, uniformly using 200-300Hz sampling rate; processing data, processing the passive source data and active source data, and separately storing the active source data of each excitation point; calculating cross-correlation function and cylindrical wave dispersion. According to the present application, the passive source data and the active source data of each excitation point outside the array grouping are flexibly combined according to the array grouping, the array grouping cross-correlation function is jointly calculated, the dispersion energy graph is calculated using the cylindrical wave algorithm, the construction method is improved, the data processing is efficient, the signal-to-noise ratio of the data and the accuracy of the dispersion curve measurement are greatly improved, a feasible construction scheme and data processing algorithm are provided, and prospective research is carried out for the development of passive source and active source Rayleigh wave combined detection technology and the introduction of related regulations.

The present application relates to the technical field of medical elastic imaging and material multi-scale mechanical measurement, and particularly discloses an elastic imaging method and system based on a scattering displacement gradient field, which comprises the following steps: generating a scattering displacement field by arranging an excitation device around a target material, measuring an out-of-plane displacement gradient field by using transverse shear interference imaging, selecting a single-frame instantaneous gradient field or a frequency-domain gradient field obtained by time-frequency domain Fourier transform as a target field; obtaining a global shear wave velocity distribution by adaptive sliding window interception, two-dimensional autocorrelation calculation and Rayleigh wave spatial autocorrelation theoretical model fitting, and then reconstructing viscoelastic modulus distribution by using an inversion algorithm. The present application supports single-frame scattering displacement gradient field inversion elastic imaging, can be used without high-frame-rate equipment, has strong anti-environmental vibration interference ability and high system stability, is suitable for scenes with poor isolation conditions, has low cost, high efficiency and high measurement precision, and can meet the requirements of medical clinical diagnosis and material multi-scale mechanical measurement.

A high-iron karst geological section comprehensive parameter fine automatic exploration system, including walking wheels, drill bit electrodes, drill bit detectors, drill bit magnetic excitation systems, electrode rotation systems, detector rotation systems, magnetic excitation rotation systems, liquid injection systems, control systems, multi-parameter interpretation systems, power systems, and wireless communication systems; the present application is based on the resistivity method and the wave velocity method, and can be used to explore any depth stratum that can be reached, independent of each other and mutually corroborating to reduce the karst geological multiple solutions, Rayleigh waves and electrical signals can transmit the most suitable signal type and strength according to the geological conditions at the set depth, which can realize the fine and automatic exploration of karst geology and improve the exploration efficiency. The present application also corrects the geological classification method in karst areas, and the corrected method can fully consider the development and particularity of karst, providing a method for the automation of high-iron geological exploration in karst areas and avoiding human errors.

The application discloses a finite element simulation calculation method of Rayleigh wave acoustic-elastic effect in a prestressed semi-infinite medium, which can realize prestressed Rayleigh wave simulation in an arbitrary waveguide section, has the advantages of fast simulation speed, and the simulation object can be arbitrarily extended. By writing a VUMAT subprogram with nonlinear characteristics, the introduction of a Murnaghan hyperelastic constitutive model is realized. Through a quasi-static superposition dynamic analysis method, the prestress and acoustic wave disturbance are loaded. Through Rayleigh wave signal post-processing, pure Rayleigh wave feature extraction is realized. The method fills the gap of simulation methods in the field of ultrasonic nondestructive testing, especially in the tomographic detection of residual stress, and has great potential.

The present application relates to the field of geotechnical engineering and earthquake engineering, in particular to a method for calculating the nonlinear buried super-barrier Rayleigh wave dispersion relation in the foundation. The method comprises: obtaining the structure data of the nonlinear buried super-barrier resonance layer, and obtaining the relative motion equation according to the structure data and the relative displacement; obtaining the total displacement amplitude by analyzing the relative motion equation; obtaining the first motion control equation by using the inner and outer displacement amplitudes; deriving the first displacement component and the first stress component according to the first motion control equation; constructing the second motion control equation, and deriving the second displacement component and the second stress component by using the second motion control equation; and obtaining the dispersion relation curve based on the first displacement component, the first stress component, the second displacement component and the second stress component. The method solves the problems in the prior art, such as the dependence on experience trial and error or large-scale numerical simulation for super-barrier vibration isolation design and low-frequency vibration suppression, and the insufficient prediction accuracy of dispersion characteristics.

The invention provides a Rayleigh wave adaptive filtering method and system for wind wave noise resistance, and the method comprises the steps: extracting the multi-dimensional features of wind wave noise through multi-resolution wavelet packet analysis and empirical mode decomposition, and constructing a feature library; establishing an active and passive signal spectrum correlation model, and quantifying the spectrum overlap ratio; a dual-channel attention filtering network is utilized, dual-channel parallel processing of noise identification and signal reconstruction is carried out, and improved adversarial training is combined, so that accurate separation of signals and noise and effective reservation of overlapped spectrum regions are realized. The system comprises a corresponding multi-channel signal acquisition module, a noise feature extraction module, a deep learning filtering module and a quality evaluation module. According to the method, the three-stage processing flow of feature extraction, correlation modeling and deep learning filtering is adopted, and the data quality and reliability of underwater Rayleigh wave exploration are remarkably improved.

The invention belongs to the technical field of surface wave frequency dispersion inversion, and particularly provides a multi-mode high-precision surface wave frequency dispersion inversion method based on shallow optimization, and the method specifically comprises the steps: 1, building a geophysical model; establishing a geophysical model containing three layers of media; step 2, forward modeling calculation; an improved global matrix method is adopted to solve a Rayleigh wave frequency dispersion equation; step 3, self-adaptive phase velocity searching; the search range is dynamically adjusted to be Vmin-Vmax according to the frequency V; 4, a shallow optimization objective function is constructed; and 5, performing simulated annealing global optimization. According to the method, the shallow layer parameter precision can be remarkably improved, the thickness error of the first layer is reduced from 5-8% to 1-2%, and the speed error of the first layer is reduced from 6-10% to 1-3%; the calculation efficiency is greatly improved, the numerical stability is enhanced, the multi-mode data is fully utilized, and the result display is complete and clear.

The application discloses a low-frequency broadband seismic metamaterial filled with a five-mode dot array core and a design method thereof. The seismic metamaterial is composed of a five-mode dot array core, a concrete hollow pipe and an outermost soil layer. The five-mode dot array core is composed of a plurality of hexagonal crystal system units arranged periodically. The hexagonal crystal system unit is connected by an axial direction and is obtained by space structure conversion. The hexagonal crystal system unit is arranged periodically to form a three-dimensional dot array core structure composed of a plurality of hexagonal crystal system units. The low-frequency broadband seismic metamaterial filled with the five-mode dot array core can form a low-frequency broadband in a target frequency band. The seismic metamaterial is arranged in a vibration isolation area underground. When a seismic Rayleigh wave propagates to the area, the wave energy is significantly weakened under the action of a forbidden band, so that effective isolation and attenuation of the Rayleigh wave can be realized under the condition of a limited space.

The invention belongs to the technical field of data processing and analysis, and particularly relates to a soft soil roadbed-oriented compaction quality real-time prediction and multi-dimensional intelligent evaluation method. The method comprises the following steps: step 1, arranging a plurality of vertical component engineering geophones on the surface of a soil body behind a vibrating wheel of a road roller along the advancing direction to form a geophone array, and connecting all sensors to an edge computing gateway for synchronous acquisition; 2, performing filtering processing on the original seismic waveform record acquired by the detector array; 3, establishing an initial velocity model according to the Rayleigh wave dispersion curve, and outputting a final shear wave velocity model; and 4, according to the final shear wave velocity model, extracting a compaction coefficient estimation value and a compaction uniformity variable coefficient of each depth horizon, and according to a preset determination rule, outputting a compaction quality grade. According to the invention, quality detection can be converted into real-time monitoring in the construction process from traditional postmortem sampling inspection, and compaction quality problems can be found and processed in time.

This application provides a method, apparatus, electronic device, and storage medium for foundation quality testing, belonging to the field of foundation testing technology. The method includes: obtaining standardized sensing data based on foundation dynamic strain data, electromagnetic field response data, and Rayleigh wave propagation data; extracting features from the standardized sensing data to obtain single-mode feature data; determining multi-mode feature fusion weights based on the single-mode feature data; fusing the single-mode feature data with the multi-mode feature fusion weights to obtain multi-mode fused feature data; obtaining target defect identification data based on the multi-mode fused feature data; mapping and updating the foundation digital twin basic model data based on the target defect identification data to obtain foundation digital twin model data with defect attributes; and determining the foundation quality testing results based on the foundation digital twin model data with defect attributes, superstructure load data, and stratum parameter data. This application can meet the high-precision requirements of foundation quality testing.

The invention relates to an ultrasonic transducer for generating ultrasonic waves in a metallic test object, having at least one magnet and having four conductor track portion sets, each comprising at least one rectilinear conductor track portion extending over a pole of the magnet in a bottom view, wherein the conductor track portion sets differ during operation in terms of the current flow direction, and the conductor track portions extend over the at least one pole at an angle to a longitudinal direction of said at least one pole in the bottom view, and having a control unit for supplying current to the conductor track portions, wherein in each case two conductor track portion sets form a first and a second meandering coil which can be controlled via the control unit of the ultrasonic transducer, wherein the control unit is designed to control the coils in phase or in phase opposition in order to generate Rayleigh or Lamb waves and in phase opposition or in phase in order to generate guided SH waves. The invention furthermore relates to a method for generating ultrasonic waves in a metallic test object using an ultrasonic transducer and to an inspection device for inspecting pipelines or for sheet metal testing.

The invention discloses a wall vibration isolation system suitable for periodic bending of a high and steep roadbed fill slope, which comprises a plurality of vibration isolation structure units arranged according to a period, each vibration isolation structure unit comprises a straight wall (1), an upper covering plate (2), a middle covering plate (3) and a bottom plate (4), and effective control of Rayleigh waves is realized through a specific structure size and arrangement mode; the straight wall (1) is a main body part of the vibration isolation structure unit, is arranged perpendicular to the ground and is used for reflecting a horizontal component of Rayleigh waves; the upper covering plate (2) is of a plate-shaped structure horizontally extending from the top of the straight wall (1) to the vibration source direction and is used for enhancing constraint of a top soil body and a wall body. The middle covering plate (3) is arranged at the middle position of the straight wall (1), horizontally extends towards the direction of a vibration source, is in synergistic effect with the upper covering plate (2), and is used for segmenting the influence range of Rayleigh waves; the bottom plate (4) is arranged at the bottom of the straight wall (1), horizontally extends towards the two sides and is used for restraining displacement of the bottom of the straight wall and promoting conversion from surface waves to body waves.

The invention belongs to the technical field of water conservancy project infrastructure and environment vibration control, and discloses a vibration isolation structure system for the surrounding area environment of a pumped storage power station. The vibration isolation structure system comprises a vibration isolation barrier arranged on the periphery of a target protection building; the vibration isolation barrier comprises a plurality of local resonance units which are annularly arranged at intervals, and the local resonance units are buried underground; the vibration isolation ditch is arranged on the periphery of the target protection building; the outline of the cross section of the vibration isolation trench is narrowed in a stepped manner along with the increase of depth; and the vibration isolation foundation is arranged at the bottom of the target protection building and used for supporting the target protection building. According to the invention, by setting a multi-level cooperative control strategy of near-field isolation-basic vibration isolation-wave resistance barrier, multi-level dissipation and effective obstruction of vibration energy are realized, the vibration isolation effect is remarkably improved, and especially the isolation performance for low-frequency vibration and earth surface Rayleigh waves (R waves) is improved.

The application belongs to the technical field of seismic exploration signal processing, and discloses a method and system for suppressing Rayleigh surface waves based on adaptive frequency modulation characteristic mode decomposition, which comprises the following steps: converting a seismic signal to a frequency space domain by using Fourier transform, and extracting an intrinsic modal component by using an adaptive frequency modulation signal mode decomposition method; screening a modal component containing Rayleigh surface waves according to the characteristics of Rayleigh surface waves in the frequency space domain, and performing adaptive filtering to suppress Rayleigh surface waves in the intrinsic modal component; reconstructing signals of the intrinsic modal component after suppression and the remaining components after screening, and performing Fourier inverse transform, so that an effective signal is finally output, which is the result after Rayleigh surface wave suppression.

The application discloses a kind of metal material mechanics performance multi-parameter nondestructive evaluation method based on grating laser ultrasonic spectrum, the method utilizes high-energy pulsed laser beam to be irradiated on the surface of the metal material to be measured by micro-lens array and form periodic distribution transient grating, excite monochromatic ultrasonic Rayleigh wave of fixed wavelength in material interior, simultaneously, non-contact receive Rayleigh wave signal in the vicinity of the detection area by probe laser.The received Rayleigh wave signal is subjected to fast Fourier transform to obtain narrow-band spectrum, and the acoustic parameters such as sound velocity and acoustic nonlinear parameter can be calculated through the narrow-band spectrum.According to theoretical formula and experimental relationship calibration curve, the calibration relationship between the elastic modulus of metal material and sound velocity, hardness and acoustic nonlinear parameter, yield strength and acoustic nonlinear parameter, ultimate tensile strength and acoustic nonlinear parameter is established respectively, so as to realize the quantitative evaluation of the mechanical properties of metal material.

The invention discloses a three-dimensional Rayleigh wave attenuation relative variation imaging method taking a stable plot as a reference value, relates to the technical field of Rayleigh wave attenuation relative variation measurement, and aims to solve the problems that in the prior art, a seismic source and a path effect are difficult to effectively strip, and a medium attribute change signal cannot be directly extracted. The invention aims to improve the capability of monitoring the change of the state of the earth crust medium and improve the recognition precision of the earthquake precursor abnormity. Comprising the following steps: respectively calculating Rayleigh wave amplitude ratios of seismic stations in a research area and a reference area to two seismic events; correcting the amplitude ratio of the seismic station in the research area by using the amplitude ratio of the seismic station in the reference area, and calculating to obtain the relative variation of the Rayleigh wave attenuation coefficient of the medium of the station in the research area between the two seismic events; on the basis of relative variation of attenuation coefficients calculated by multiple stations and multiple frequencies, spatial interpolation is performed on each single-frequency data to generate a two-dimensional plane distribution diagram, and then different-frequency two-dimensional diagrams are combined according to corresponding depths to generate a three-dimensional space distribution image.

The invention provides a Rayleigh surface wave shallow surface velocity inversion method and device which are applied to the technical field of engineering geophysical prospecting, and the method comprises the steps: building a preset number of shallow surface velocity models; performing forward modeling on the shallow surface velocity model through a finite difference method to obtain time domain waveform data of different receiving points; performing cross-correlation processing and frequency spectrum calculation on the time domain waveform data of different receiving points to obtain a frequency spectrum of a cross-correlation gather; performing frequency-Bessel transformation on the frequency spectrum of the cross-correlation gather to obtain a Rayleigh surface wave frequency spectrum; training a preset cyclic adversarial neural network through a preset one-dimensional speed structure and the Rayleigh surface wave spectrum to obtain a trained cyclic adversarial neural network; a first generator of a first generative adversarial network of the trained cyclic adversarial neural network is used as a prediction network, and the prediction network is used for carrying out speed inversion on an actual Rayleigh surface wave frequency spectrum; according to the invention, automatic inversion of the surface wave spectrum can be realized.

The invention discloses a non-stop production foundation reinforcement method and system for an in-service industrial factory building. The method comprises the steps that a settlement source is analyzed based on Rayleigh wave test data, and a combination scheme is generated; a micro drilling machine is used for implementing minimally invasive targeted grouting, the principle of first outside and then inside is followed, and an acoustic interface formed by a peripheral grouting body and a reflected wave energy threshold value are used for judging an internal grouting boundary; high-pressure jet grouting operation is carried out, the formed pile body wraps the tail end of the grouting reserved steel pipe, and a composite bearing structure with the upper steel pipe reinforced and the lower pile body anchored is constructed; construction parameters are dynamically adjusted in the whole process according to settlement monitoring data. Quantitative control over the hidden grouting range is achieved through acoustic physical characteristics, the problem of discontinuous deep and shallow layer stress transfer is solved through physical connection of the steel pipe and the pile body, and the method is suitable for low-disturbance non-stop-production reinforcement in a narrow space.

The invention belongs to the technical field of exploration geophysics and seismic signal processing, and relates to a Rayleigh wave double-component fusion method and system based on model prediction. In order to solve the problem that a fusion decision depends on an empirical threshold and cannot quantitatively predict an effect, the method comprises the following steps: acquiring seismic data continuously acquired by a station pair in a target area; calculating the signal-to-noise ratio of the ZZ cross-correlation function and the signal-to-noise ratio of the RR cross-correlation function of each station pair; calculating the ratio of the signal-to-noise ratio of the RR cross-correlation function to the signal-to-noise ratio of the ZZ cross-correlation function of each station pair; calculating a similarity index according to the ratio; predicting a fusion gain by adopting a similarity index; and according to a comparison result of the prediction gain and a target threshold value, intelligently deciding whether to carry out double-component fusion, and outputting a final effective signal. According to the method, the fusion decision is improved from experience judgment to a computable and optimizable model driving process, the overall signal-to-noise ratio of the data can be stably and reliably improved, and the seismic data quality for imaging is directly improved.

The application belongs to the technical field of seismic wave forward simulation, and discloses a two-dimensional three-component surface wave simulation method and system based on a finite difference method. The method is based on the discrete processing of continuous medium by the rotated staggered grid finite difference method, and realizes the free surface condition based on the discrete processing strategy; the M-PML is used to process the other absorbing boundary except the free surface in the solving area; the two-dimensional three-component surface wave simulation is carried out through the source loading, and the x, y, z direction seismic wave field containing Rayleigh wave and Love wave is obtained. The application realizes the high-precision two-dimensional three-component surface wave field forward simulation, and realizes the simulation of body wave and surface wave field at the same time, which makes a contribution to the promotion of two-dimensional full wave field forward simulation research, and is beneficial to the promotion of the research on the law of seismic wave propagation.

The application discloses a kind of based on non-paraxial approximate multivariate Gaussian sound beam model ultrasonic phased array Rayleigh wave field calculation method, the method first solves single array element Rayleigh wave field by establishing non-paraxial approximate multivariate Gaussian sound beam model, then determines phased array transducer parameter to calculate phased array each array element coordinate and the delay required for phased array Rayleigh wave deflection and focusing each array element, finally to single array element Rayleigh wave field is delayed and is added to obtain phased array Rayleigh wave synthesis sound field.The method realizes the fast calculation of phased array Rayleigh wave field under the premise of guaranteeing accuracy, solves the problems, such as low efficiency of traditional Rayleigh wave field calculation method, deviation increases with off-axis distance, etc., has guiding significance to the optimization of ultrasonic testing process and the quantitative evaluation of defect.