443 results about "Longitudinal wave" patented technology

The invention provides a multi-mode ultrasonic fusion pressure vessel weld defect nondestructive testing method and system, and relates to the technical field of nondestructive testing. According to the method, geometric parameters of a welding seam are obtained through three-dimensional laser scanning, and an optimal scanning parameter set is generated; driving ultrasonic phased array equipment to scan for one time and synchronously acquire shear wave full-matrix capture and longitudinal wave linear scanning data; performing energy flow angular spectrum analysis and envelope analysis on the bimodal data, extracting defect feature parameters and constructing a three-dimensional feature tensor; carrying out multi-dimensional feature fusion by adopting Tucker decomposition, and enhancing a core tensor through physical modeling; generating three types of defect indication diagrams including a defect existence possibility diagram, a defect relative scale diagram and a defect space orientation diagram from the enhanced feature tensor; and the three types of indication diagrams are visually presented for comprehensive interpretation of detection personnel. Through multi-modal data fusion and physical modeling enhancement, the defect identification accuracy and detection efficiency are remarkably improved, the false alarm rate is reduced, and reliable technical support is provided for pressure vessel welding seam safety detection.

The invention relates to the technical field of hemispherical harmonic oscillator assembly, in particular to a welding method and device for an assembled hemispherical harmonic oscillator, and the device comprises a vibration welding platform and a clamping assembly located above the vibration welding platform; the vibration welding platform is used for bearing the sensitive base and providing a thermal field and a vibration field needed by welding, and the clamping assembly is used for clamping the center shaft and sending the center shaft into a center hole of the base. A heating unit and a composite vibration ultrasonic transducer are arranged in the platform, and the platform is configured to apply high-frequency vibration formed by superposition of vertical longitudinal waves and horizontal torsional waves to the base. The high-frequency vibration thixotropic effect is used for reducing the viscosity of the molten solder, the ultrasonic cavitation effect is used for forcibly discharging bubbles at the bottom of the blind hole, and the sound radiation pressure generated by the vibration standing wave field is used for driving the center shaft to achieve friction-free self-centering in the hole. According to the device, the problems of air bolt pseudo soldering and rigid assembly clamping stagnation in the traditional process are solved, and the assembly coaxiality and the connection strength of the harmonic oscillator are remarkably improved.

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 a tight sandstone gas reservoir logging scale fracture development evaluation method, and relates to the field of earth exploration physics, and the method comprises the steps: carrying out the inversion based on a complex pore structure high-angle fracture type rock physical model and actual logging data through employing a simulated annealing particle swarm algorithm, and obtaining two groups of fracture density parameters in a well; respectively calculating crack density identification factors under different rotation angles; based on a correlation coefficient between the Poisson impedance and the fracture density under different rotation angles, determining an optimal rotation angle when the correlation coefficient reaches a maximum value; calculating a crack density identification factor under the optimal rotation angle by combining longitudinal wave impedance and transverse wave impedance data; and applying the fracture density identification factor under the optimal rotation angle to actual logging data, and representing fracture development. The method can effectively distinguish and quantify multiple groups of high-angle fractures developed in the tight sandstone reservoir, significantly improve the prediction precision and reliability of the fractured reservoir, and provide a key basis for reservoir sweet spot prediction and well location deployment.

The invention discloses a bolt axial force measurement method based on trailing waves and temperature compensation, and relates to the technical field of bolt axial force measurement. The influence of stress and temperature on the bolt length and ultrasonic sound velocity is analyzed, sound time variation of longitudinal waves and primary trailing waves under the action of stress and temperature is obtained, the longitudinal waves and the primary trailing waves are selected to serve as a wave type combination of bolt axial force measurement based on sensitivity analysis of sound waves on stress and temperature, and a sound elasticity principle is combined to measure the bolt axial force. Establishing a relation model of ultrasonic sound velocity, stress and temperature, and respectively calculating longitudinal wave sound time and primary trailing wave sound time considering the comprehensive influence of the stress and the temperature; and constructing a measurement characterization quantity of the bolt axial force based on longitudinal wave and primary trailing wave sound time, and performing temperature compensation on axial stress measurement to complete bolt axial force measurement. The axial force characterization quantity is constructed by measuring the sound time difference by utilizing the propagation information of the longitudinal wave and the primary trailing wave, and the axial force measurement requirement of the fastened bolt in the high-temperature environment is met.

The invention provides an earthquake quantitative prediction method for the compaction effect intensity of carbonate rocks, and the method comprises the following steps: (1) carrying out the statistics and analysis of logging data and core analysis data of a compacted stratum in a to-be-analyzed region, and building a fitting relation between the apparent compaction rate and the longitudinal wave speed; (2) performing phase-control frequency-division inversion in combination with the seismic response characteristics, and then calculating and analyzing the actual longitudinal wave speed of the to-be-analyzed region; and (3) determining the distribution of the apparent compaction rate according to the fitting relation between the apparent compaction rate and the longitudinal wave speed obtained in the step (1) and the actual longitudinal wave speed obtained in the step (2). According to the carbonate rock diagenesis strength earthquake prediction method based on the apparent compaction rate, the problem that quantitative prediction of the carbonate rock compaction strength is difficult is solved, the distribution characteristics of different compaction strength in space are defined, and the exploration and development success rate can be improved.

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 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 tunnel rock mass water burst and mud burst prediction method and system based on an XGBoost-RF fusion algorithm, and belongs to the technical field of geological disaster prediction. The method comprises the following steps: firstly, preprocessing seismic wave data, and extracting various geological response characteristics including longitudinal wave velocity, wave velocity variation coefficient, Poisson's ratio and the like; then respectively training an XGBoost model and a random forest model, and carrying out probability fusion through a soft voting strategy; and finally, outputting a risk level classification result based on the weighted probability. The core innovation of the invention lies in that the feature fine recognition capability of the XGBoost model and the anti-noise characteristic of the random forest model are effectively combined through algorithm fusion, and the probability calibration and weight optimization mechanism is adopted, so that the recognition precision of middle and high risk categories is remarkably improved. Experiments show that according to the method, the average recall rate of key categories on a test set reaches 0.9925, the overall accuracy rate is 0.990, and the problems that a traditional method is high in high-risk geologic body missed judgment rate and insufficient in generalization ability are effectively solved.

The invention is suitable for the technical field of geophysical exploration, and provides a rock physics-driven time-frequency domain longitudinal wave velocity dispersion attribute prediction method, which comprises the following steps of: establishing a rock physics model; under the driving of the rock physical model, inverting the porosity of the microfractures in the well, calculating the skeleton elastic modulus of the rock containing the fractures, and predicting a frequency-dependent longitudinal wave velocity logging curve; constructing a time-frequency domain longitudinal wave velocity seismic inversion initial model; constructing a TF-AVO theoretical formula, developing a time-frequency domain longitudinal wave velocity seismic inversion method based on an L-BFGS algorithm, and performing longitudinal wave velocity inversion by taking the initial model as prior information; analyzing the relative change of the frequency-varying longitudinal wave speed under different frequencies, and quantitatively predicting the frequency dispersion attribute of the longitudinal wave speed; and on the basis of logging data, calibrating a longitudinal wave velocity dispersion attribute prediction result, and carrying out reservoir oil and gas detection. The method has higher precision and resolution, the stability and reliability of longitudinal wave velocity dispersion attribute prediction are remarkably improved, and the dependence on strong amplitude response is overcome.

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.

A reflective focusing-based depth-velocity modeling method, relating to the field of seismic exploration, comprising: determining an actual seismic record and an initial velocity model (S1); on the basis of a seismic observation system, performing forward simulation on the initial velocity model, and obtaining forward wave field data (S2); on the basis of the actual seismic record and the forward wave field data, calculating a focusing function of a reflected wave residual response, calculating a Green's function of the reflected wave residual response on the basis of the focusing function, and, on the basis of the Green's function and the forward wave field data, calculating a gradient of an objective function with respect to a longitudinal wave velocity (S3); determining an updated velocity model on the basis of the gradient of the objective function with respect to the longitudinal wave velocity and an update step size (S4); and on the basis of the actual seismic record and the updated velocity model, determining whether a termination condition has been met (S5), if so, using the finally obtained updated velocity model as a depth-velocity model, and if not, re-performing forward simulation and the following steps. Further related is a reflective focusing-based depth-velocity modeling apparatus.

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 discloses an uncalibrated stress measurement method and device based on ultrasonic longitudinal wave and incremental deformation mechanics, and relates to the technical field of ultrasonic nondestructive testing, and the method comprises the steps: obtaining an ultrasonic longitudinal wave time domain signal at a detection point of a to-be-detected test piece and the thickness of the to-be-detected test piece; determining the propagation time of the longitudinal wave in the test piece to be detected based on the ultrasonic longitudinal wave time domain signal; based on the thickness of the to-be-detected test piece and the propagation time, determining the propagation speed of the ultrasonic longitudinal wave in the to-be-detected test piece; and determining a stress value at the detection point of the test piece to be detected according to the propagation velocity. According to the invention, the problem of measuring the high-order elastic constant of the material can be avoided, and the dependence of a stress measurement result on a calibration result is avoided.

The invention discloses a diffracted wave-based heterogeneous body prediction method, electronic equipment, a storage medium and a diffracted wave-based heterogeneous body prediction device. The method comprises the following steps: acquiring a diffracted wave three-dimensional seismic data volume, a horizon of a target interval and a comprehensive wavelet based on a full-wave-field three-dimensional seismic data volume; constructing a longitudinal wave velocity and density conversion relation based on the logging longitudinal wave velocity and the corresponding density, and further constructing a longitudinal wave velocity and longitudinal wave impedance conversion relation to convert the interval velocity of the full-wave-field three-dimensional seismic data volume into interval velocity low-frequency impedance; constructing a diffracted wave impedance inversion objective function based on the longitudinal wave diffraction coefficient and the comprehensive wavelet, and taking the interval velocity low-frequency impedance body as the background impedance of the inversion objective function; and solving the diffracted wave impedance inversion objective function based on an optimization algorithm, carrying out diffracted wave impedance inversion, and obtaining diffracted wave impedance to carry out heterogeneous body prediction. Quantitative prediction of the heterogeneous body is realized through the diffracted wave three-dimensional seismic data body, and the impedance inversion precision of the heterogeneous reservoir is improved.

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 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 relates to a method for forming (P1) a primary stack (30) comprising: a supply step (E1) of an initial stack (10) comprising an initial substrate (11) having a front face (Fav) comprising a central zone (Zc) and a peripheral contouring zone (Zdp), and a resonant thin layer (13) of piezoelectric material; and a protection step (E2), in which a protective thin layer (17) is deposited on the initial stack (10) and covering the peripheral contouring zone (Zdp); the protective thin layer (17) being of a material having an acoustic impedance greater than 20 MRayl for longitudinal waves and / or greater than 12 MRayl for shear waves. The invention also relates to a resonant electronic device (100) and a method (P2) for manufacturing a resonant electronic device (100) from such a primary stack (30). Figure 2

The invention relates to the field of seismology, signal processing and artificial intelligence, namely to automated methods and systems for early detection of earthquakes based on the analysis of seismic data, and can be used to recognize and classify longitudinal waves (P-waves) preceding the main seismic shocks, using deep learning and computer vision methods. The aim of the present invention is to create an automated early earthquake detection system using the classification of seismic signal spectrograms generated by the complex Morlet wave CWT using the YOLO deep neural network architecture. The technical result is an increase in the accuracy and speed of early earthquake detection by analyzing the time-frequency characteristics of seismic signals and automatically localizing P-wave signatures using a neural network model. The device includes a seismic sensor, an analog-to-digital converter, and a microprocessor implementing time-frequency analysis and neural network detection algorithms. The seismic signal is recorded in real time, digitized, segmented into time intervals, and subjected to preliminary digital processing, including noise filtering and amplitude normalization. Each time interval is converted into a time-frequency representation using a continuous wavelet transform, generating a two-dimensional distribution of signal energy over time and frequency. Based on the obtained data, a spectrogram is generated and fed to the YOLO neural network detection model, which is capable of automatically detecting and localizing longitudinal P-wave signatures. Based on the neural network analysis, a determination is made regarding the presence of a P-wave and its arrival time is determined. If a predetermined threshold is exceeded, an early warning signal is generated. The system provides for data accumulation and the possibility of subsequent retraining of the neural network model.

The invention discloses a rolling force calculation method for longitudinal wave rolling of a metal plate, and relates to the technical field of rolling. The rolling force calculation method for longitudinal wave rolling of the metal plate comprises the steps that based on rolling parameters of longitudinal wave rolling equipment and a neutral angle in the rolling process of the longitudinal wave rolling equipment, plastic deformation area rolling force at the wave trough position and the wave waist position of the longitudinal wave rolling equipment is determined; and the total rolling force of the plastic deformation area of the longitudinal wave rolling equipment is determined according to the rolling force of the plastic deformation area at the wave trough and the wave waist of the longitudinal wave rolling equipment. Accurate calculation of the total rolling force of the plastic deformation area is achieved, and the calculation efficiency of the rolling force is improved.

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.

This invention belongs to the fields of rock mechanics, geological engineering, and geophysical exploration technology. Specifically, it discloses a method and system for constructing a mapping relationship between acoustic wave velocity and surrounding rock stress. The method includes: performing uniaxial graded loading on a standard sandstone sample and simultaneously measuring the P-wave velocity and S-wave velocity under each stress level; then fitting a linear mapping relationship between the P-wave / S-wave velocity ratio and the axial stress of the surrounding rock; introducing joint correction coefficients and water content correction coefficients to optimize the linear mapping relationship and constructing an acoustoelastic model; and using the acoustoelastic model and field-measured wave velocity data to invert the stress state of the actual surrounding rock, thus completing the construction of the acoustic wave velocity-surround rock stress mapping relationship. This invention solves the problems of traditional wave velocity-stress relationships, which, when describing the nonlinear response of rocks at different stress stages, are not sensitive enough to subtle stress changes and lack a complete, high-precision, and interference-resistant stress inversion calculation method, making them difficult to directly apply to complex actual engineering environments.

The present application belongs to the technical field of high-pressure grouting process optimization, and particularly relates to a high-pressure grouting process optimization method for roadway water inrush cracks. The method first improves the Retinex and dark channel priori combination for image preprocessing; based on the attention-enhanced U-Net, the crack is accurately segmented, and the length, width and depth are quantified; the distributed water pressure sensor is arranged in the crack influence area, the Gaussian smoothing, sliding window linear fitting and correlation analysis are used to remove the abnormal measuring points and calculate the weighted average water pressure; taking the crack geometry and effective average water pressure as the input, a double-branch prediction model is constructed to output the preliminary range of slurry-water ratio, grouting pressure and segmented grouting length; further, a neural network prediction model is constructed from the similar working conditions selected from historical samples, and the improved particle swarm optimization is combined to repair the longitudinal wave velocity of the post-rock mass close to the normal value as the target, and the three types of process parameters are optimized to obtain the optimal grouting scheme.

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 discloses a top cover bolt stress trend diagnosis method based on ultrasonic strain, and relates to the technical field of top cover bolt ultrasonic stress diagnos.The top cover bolt stress trend diagnosis method comprises the steps that an ultrasonic sensor is arranged on a top cover bolt, and longitudinal wave propagation sound in the axial direction of the bolt is collected; bolt stress is calculated by adopting an acoustic elasticity formula subjected to temperature compensation according to longitudinal wave propagation sound, benchmark learning is carried out when a unit is put into operation again, and a health state benchmark model is established; and comparing the health state reference model with the bolt stress obtained by calculation, carrying out top cover bolt stress trend diagnosis, and updating the health state reference model. According to the invention, quantitative diagnosis systematization of physical-magnitude ultrasonic measurement and working condition coupling is realized; the accuracy and timeliness of stress diagnosis can be improved, the false alarm / missing report rate is reduced, and a quantifiable engineering basis is provided for predictive maintenance and service life management of the top cover bolt.

A semiconductor device according to an embodiment includes a silicon carbide layer, a silicon oxide layer having a peak frequency of a longitudinal wave optical mode of 1245 cm−1 or more at a position 0.5 nm away from the silicon carbide layer, and a region located between the silicon carbide layer and the silicon oxide layer and having a nitrogen concentration of 1×1021 cm−3 or more. The concentration distribution of nitrogen in the silicon carbide layer, the silicon oxide layer, and the region has a peak in the region.

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.