204 results about "Transverse wave" patented technology

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 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 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.

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

The invention belongs to the technical field of tunnel geology advanced prediction, and provides an electromagnetic controllable excitation device and method for longitudinal and transverse wave excitation of a deep tunnel, a vibration exciter comprises a body, a longitudinal wave excitation plate and a transverse wave excitation plate which are arranged on the body, and a rotating mechanism arranged on the body; the longitudinal wave excitation plate and the transverse wave excitation plate are perpendicular to each other, and the rotating mechanism is connected with the mechanical arm. Operation switching of the longitudinal wave excitation plate and the transverse wave excitation plate at the same physical position is realized through the rotating mechanism, and excitation of longitudinal waves and transverse waves is carried out; the longitudinal wave excitation function and the transverse wave excitation function are integrated into a single vibration exciter, the structure is compact, the device meets the operation requirement of a narrow space area in a tunnel, 90-degree rapid switching is achieved through the rotating mechanism, the detection efficiency is greatly improved, it is ensured that physical positions of two times of excitation are completely consistent, and the data comparability is improved.

The application discloses a two-dimensional distributed optical fiber sensing full waveform simulation method based on a discrete elastic lattice, and belongs to the technical field of seismic wave field simulation and distributed optical fiber sensing. The application comprises the following steps: receiving seismic wave data of a target geological medium layer; setting a two-dimensional calculation region according to the spatial distribution of the longitudinal wave velocity, the transverse wave velocity and the density parameters of the seismic wave, and taking the two-dimensional calculation region as a numerical simulation carrier of seismic wave propagation; discretizing the two-dimensional calculation region into a plurality of particle nodes, and connecting adjacent particle nodes through elasticity to form a discrete elastic lattice, so as to represent the mechanical properties of the stratum medium; and according to the density parameters, the longitudinal wave velocity, the transverse wave velocity or the equivalent elastic parameters of the stratum medium, the elastic connection between the particle nodes is endowed with corresponding elastic coefficients. The application provides a reliable numerical tool for DAS deployment design, data interpretation and seismological inversion, and can be widely applied to the fields of earthquake monitoring, oil and gas exploration, geological disaster warning and the like.

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

The utility model discloses a semi-explosion type transverse wave source based on high-pressure gas explosion near-field waveform regulation and control, which comprises a cylindrical detonation tube, a gas chamber is arranged in the detonation tube, one side of the gas chamber is an arc-shaped surface, the central axis of the arc-shaped surface is consistent with that of the detonation tube, the other side of the gas chamber is an isolation surface, and the isolation surface is arranged on the detonation tube. A groove consistent with the detonation tube in the extending direction is formed in the side, close to the isolation face, of the tube wall of the detonation tube to form a waveform regulation and control chamber, an annular notch groove is formed in the side, close to the arc-shaped face, of the tube wall of the detonation tube, and sealing heads are arranged at the two ends of the detonation tube. The semi-explosive shear wave source realizes near-field waveform regulation and control on a high-pressure gas detonation pressure field through structural design, performs near-field waveform regulation and control on the pressure field generated by detonation through structural design of the detonation tube, enables the energy proportion of a generated shear wave signal to be amplified, is a brand-new shear wave source generation way, and can be applied to the field of high-pressure gas detonation. The system has the advantages of being strong in transverse wave signal, environmentally friendly, good in economical efficiency, good in field adaptability and the like.

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

The invention provides a method for detecting the porosity of a cement-based material by adopting an ultrasonic sound velocity method, and belongs to the technical field of detection of the porosity of the cement-based material.The method comprises the steps that a multi-phase sound velocity prediction model is established by preparing a gradient moisture content standard test piece, and a pore water saturation correction function is established by adopting a longitudinal and transverse wave velocity ratio; the moisture content interference is eliminated by using a saturation-sound velocity coupling inversion algorithm, the accurate detection of the three-dimensional porosity distribution of the to-be-detected material is realized by combining multi-angle ultrasonic tomography and a multiphase sound velocity distribution optimization game model, the result reliability is ensured through multi-path cross validation, the rationality of the porosity result obtained by inversion is judged, and the accuracy of the three-dimensional porosity distribution of the to-be-detected material is improved. When the porosity value exceeds the normal range threshold value corresponding to the material type, a multi-path sound velocity data cross validation program is started, the porosity is recalculated after abnormal measurement values are removed, and the technical problem that the porosity detection precision of the ultrasonic method is interfered by the water-containing state is solved.

Non-destructive inspection of welded rail joints by ultrasound phase-array transducers in one device, precise positioning non-destructive inspection probes and moving the probes in longitudinal and transverse directions. Two scanners have ultrasound phase-array transducers and emission control unit for sequential or simultaneous inspection of welded joints using (i) two ultrasound phase-array transducers are directed to each other and operate separately, wherein the transducers provide a beam sector of 36-75 degrees; (ii) two ultrasound phase-array transducers are directed to each other and operate separately, wherein the transducers provide a beam sector of 26-24 degrees from the tread surface during longitudinal movement; and / or (iii) two ultrasound phase-array transducers are directed to each other, one transducer emits a transverse wave with a predetermined angle from the tread surface to the base of the rail, while the other transducer receives a longitudinal wave that occurs only when a vertical crack exists in the rail.

The invention belongs to the technical field of stress detection, and relates to a nondestructive measurement method and system for residual stress of a basin-type insulator. The method comprises the following steps: acquiring a transverse wave acoustic elastic birefringence coefficient and a dual-frequency longitudinal wave acoustic elastic coefficient of a standard test block made of the same material as an insulator in different uniaxial stress states; obtaining the transverse wave propagation time of the polarization direction of the target point in the annular direction, the transverse wave propagation time of the polarization direction in the radial direction and the dual-frequency longitudinal wave propagation time of the insulator in the state of no external load; and acquiring circumferential residual stress and radial residual stress at the target point according to the transverse wave acoustic elasticity birefringence coefficient, the dual-frequency longitudinal wave acoustic elasticity coefficient, the transverse wave propagation time of which the polarization direction is in the circumferential direction, the transverse wave propagation time of which the polarization direction is in the radial direction and the dual-frequency longitudinal wave propagation time. Nondestructive testing of the residual stress of the epoxy resin part of the basin-type insulator is achieved, and directional analysis and independent measurement of a complex stress field are achieved.

The utility model discloses fabricated building connecting equipment with a damping function, and relates to the technical field of building connection, and the fabricated building connecting equipment comprises an upper connecting plate, a lower connecting plate, a supporting seat, a longitudinal wave reduction assembly and a transverse wave reduction assembly; the upper connecting plate is fixedly connected with an upper-layer fabricated building, a guide hole is formed in the center of the upper connecting plate, the lower connecting plate is fixedly connected with a lower-layer fabricated building, a positioning groove is formed in the lower connecting plate, the axis of the positioning groove coincides with the axis of the guide hole, the supporting seat is fixedly arranged on the lower connecting plate, and a supporting hole is formed in the supporting seat. The longitudinal wave reduction assembly is arranged on the lower connecting plate, the lower end of the longitudinal wave reduction assembly abuts against the positioning groove, the upper end of the longitudinal wave reduction assembly abuts against the guide hole, the longitudinal wave reduction assembly absorbs and reduces seismic longitudinal waves, and the transverse wave reduction assembly is arranged on the supporting seat and penetrates through the supporting hole. The connecting device has the effect of reducing the problems that the fabricated building connecting device with the damping function is complex in structure and difficult to assemble and maintain.

The invention discloses a seabed node transverse wave leakage suppression method, system, medium and equipment based on Uform, and belongs to the field of exploration geophysics, and the method comprises the steps of multi-component data preprocessing, radial component acquisition, Uform network model and data set construction, network training optimization and actual data application. The invention further provides a system, a medium and equipment for operating the method. According to the method, the transverse wave leakage noise in the Z component can be effectively predicted and removed, and the signal-to-noise ratio and interpretation reliability of an imaging profile are improved. A global dependency relationship among different positions of an input sequence is modeled through a self-attention mechanism, and the extraction and prediction precision of a shear wave leakage model is improved; in the data set construction stage, a horizontal component is rotated to a radial tangential component, fusion utilization of information in the X direction and the Y direction is achieved, the problem of representation inconsistency caused by the coupling difference of the X components of different detection points is solved, and the description capacity and stability of the transverse wave leakage form are enhanced.

The invention belongs to the technical field of digital orthodontic medical instruments and additive manufacturing, and discloses an anisotropic stress application unit of an invisible orthodontic appliance and an additive manufacturing method of the anisotropic stress application unit. The unit comprises a miniaturized rigid base structure located at the gingival end and a parameterized mechanical control panel connected to the upper portion of the miniaturized rigid base structure; wave geometric parameters and material attributes are optimized through a deep neural operator (FNO), and anisotropic biomechanical response is given to the unit. Longitudinal waves provide constant horizontal resilience force through the accordion effect to close and develop gaps. The transverse waves provide vertical thrust by utilizing the Euler anti-buckling strut effect so as to lower or raise teeth; the oblique waves and the buccal-lingual asymmetric stiffness distribution are used for generating a composite vector force and a couple moment. The limitation of a traditional hot-pressing film process is broken through, high-rigidity structure forming under the limit size of 0.5 mm is achieved, and a negative gap maintainer is converted into an active intelligent treatment system.

The application provides a real-time wave fluctuation migration positioning method for microseismic signals and belongs to the technical field of seismic signal processing; solves the problems of complex data preprocessing, insufficient calculation efficiency and low timeliness of existing migration positioning processing technologies; and comprises the following steps: arranging multiple geophones as receiving points of microseismic data according to different depths in the range of a region to be monitored on a coal mine working face floor; counting the number N of triggered geophones, and distributing the data of the N geophones to different GPUs to carry out seismic wave field simulation of the N geophones in parallel; obtaining imaging results of longitudinal waves and transverse waves by using directional aperture constraints and storage-free imaging conditions, fusing the imaging results of the longitudinal waves and the transverse waves, and extracting imaging results with the most focused energy and consistent imaging point positions as microseismic information of microseismic events; and the application is applied to coal mine roof and floor monitoring.

This invention discloses a peripheral wave-damping and power generation system for a floating marine unit, comprising a floating marine unit; a transverse wave-damping support is fixedly installed on the periphery of the floating marine unit, and a plurality of power-generating wave-dampers are arranged in an array along the length direction on the outer side of the transverse wave-damping support. Each power-generating wave-damper includes an inclined energy-absorbing plate, the lower part of which is submerged below the water surface, and the energy-absorbing plate can rotate and swing around a pivot. In a stable state, the energy-absorbing plate remains balanced under the combined action of gravity and buoyancy. When the wave-facing surface of the energy-absorbing plate is impacted by waves, the pivot corresponding to the energy-absorbing plate adaptively swings downward; the system has the function of power generation while damming waves and absorbing energy.

The application discloses a true-terrain elastic medium seismic wave field simulation method, device and equipment and a storage medium. The method comprises the following steps: determining each boundary point included in a target region and a support region including each boundary point based on longitudinal and transverse wave velocity field model data and elevation data of a seismic wave field of the target region; performing multidimensional Taylor series expansion on a seismic wave field value on each grid point included in the support region of each boundary point to construct a polynomial expression of the boundary point in spatial coordinates; constructing a constraint condition of the polynomial expression based on stress field model data of the boundary point to form an over-determined linear equation group of a boundary of the target region; solving the over-determined linear equation group to obtain derivative values of a particle vibration velocity field and a stress field at each boundary point; and modifying a standard finite difference operator based on the derivative values of the particle vibration velocity field and the stress field at each boundary point to perform true-terrain elastic medium seismic wave field simulation by using the modified finite difference operator.

The invention discloses an organic matter identification method based on seismic wave dispersion, and relates to the technical field of petroleum geophysical exploration, and the method comprises the steps: obtaining a target pre-stack seismic trace set and matched logging data, building an underground medium initial model based on the kerogen content and elastic response characteristics in the logging data, and obtaining an underground medium initial model; a to-be-inverted parameter matrix and a reflection coefficient weight matrix of an incident angle are calculated through a Shaw reflection coefficient calculation equation, frequency-division seismic wavelets are generated through the high sensitivity of organic matter to transverse wave dispersion, and a positive operator is constructed in combination with the wavelets and the reflection weight matrix. A shear wave velocity dispersion gradient which is highly sensitive to organic matters and weak in response to pore fluid is used as a main control inversion parameter, a combined recognition constraint term is constructed by combining a longitudinal wave velocity dispersion gradient and attenuation spectrum morphological characteristics, and a spatial optimal solution of a forward operator and a seismic trace set is calculated through a minimization objective function. And quantitatively associating the spatial optimal solution with the geophysical response characteristics of the organic matters to generate an organic matter spatial distribution diagram of the target reservoir.

The present application relates to the technical field of nondestructive testing of nuclear power equipment, and provides a nuclear power metal welded joint nondestructive testing method based on ultrasonic phased array imaging and application, comprising calculating the ultrasonic longitudinal wave velocity and transverse wave velocity of the nuclear power metal material; calculating the defect acoustic scattering response distribution under different angles of the organic glass wedge; using an ultrasonic array detection system, identifying bright spot abnormal points in an ultrasonic phased array scanning image and full matrix capture data corresponding to the positions; using a time reversal operator decomposition algorithm to perform signal denoising processing, obtaining denoised ultrasonic array signals; calculating the propagation time of the sound waves emitted by each element of the ultrasonic phased array after refraction through the glass wedge to each grid point, obtaining the Hilbert transform value of each grid point corresponding to the propagation time, and generating an ultrasonic imaging graph of the region; performing delay multiplication superposition and vector coherence factor denoising processing on the imaging data, and obtaining a welded joint nondestructive testing imaging result.

The invention provides a modeling method and a saturation prediction method of a rock physical model containing non-uniformly distributed hydrate sediments. Comprising the steps of obtaining model parameters, calculating the porosity of a mineral skeleton based on the model parameters, calculating the bulk modulus and the shear modulus of a dry hydrate skeleton, calculating the bulk modulus and the shear modulus of a dry mineral skeleton, and calculating the bulk modulus and the shear modulus of a dry composite skeleton composed of the dry mineral skeleton and the dry hydrate skeleton. And calculating the rock bulk modulus and shear modulus when the fluid is saturated, calculating the rock density value when the fluid is saturated, and calculating the stratum longitudinal wave velocity and the stratum transverse wave velocity. According to the method, on the basis of the forming mechanism and distribution characteristics of the non-uniformly distributed hydrates, the non-uniformity of the hydrates and mineral particles is considered in the modeling process, the hydrates and the mineral particles are regarded as two independent rock frameworks, and the isotropic rock physical model suitable for the non-uniformly distributed hydrates is constructed.

This invention proposes a method and system for measuring the elastic constants of unidirectional CFRP (Composite Material Reinforced Polymer) based on laser ultrasound and neural networks, belonging to the field of non-destructive testing technology for composite materials. The method employs an orthogonal cross-scanning laser ultrasound system to non-contactly excite and receive ultrasonic bulk wave signals in the parallel and perpendicular directions of the fiber. The arrival times of quasi-longitudinal waves (QL) and quasi-transverse waves (QSV, QSH) are extracted and combined with the scanning position to form input features. A training dataset is generated using ultrasonic bulk wave propagation theory, and a neural network model integrating Transformer and LSTM is constructed to realize the measurement of five elastic constants (C1, C2, C3, C4, C5, C6, C7, C8, C9 ... 11 C 12 C 22 C 44 C 55 This invention provides end-to-end prediction of thickness and other parameters. It avoids iterative optimization in traditional inversion methods, offers high computational efficiency, enables second-level measurements, and automates the entire process, making it suitable for rapid, high-precision, non-destructive testing of CFRP components in the field.

The invention provides a natural source surface wave collecting and processing device and method based on an asynchronous common midpoint gather method. The method comprises the following steps that multi-stage surface wave data is collected through stage laying and rolling arrangement; constructing a synchronous surface wave signal library by using a background noise cross-correlation technology; performing secondary cross-correlation on two pairs of station synchronizing signals of the same fixed station through an asynchronous data algorithm to obtain asynchronous surface wave signals; extracting synchronous and asynchronous gather pairs of the same center point and combining the synchronous and asynchronous gather pairs into a common center point gather; and extracting a frequency dispersion curve to invert a shear wave velocity structure. By optimizing an array layout scheme and utilizing an asynchronous data fusion algorithm, support is provided for engineering geological survey, speed structure investigation and the like by utilizing an asynchronous natural source surface wave method, and the overall acquisition period is effectively shortened, so that the time and economic cost is remarkably reduced.

The invention discloses a Young impedance and longitudinal and transverse wave velocity ratio nonlinear direct seismic inversion method based on an accurate YIRD-Zoeppritz equation. The Young impedance and longitudinal and transverse wave velocity ratio nonlinear direct seismic inversion method comprises the steps that the YIRD-Zoeppritz equation is obtained, and the Young impedance YI, the longitudinal and transverse wave velocity ratio PSR and the rock density are inversed through an ADA-MCMC-LpSC nonlinear inversion algorithm providing sparse prior information based on the Lp norm. Based on an accurate YIRD-Zoeppritz equation, the accurate prediction method for the Young impedance and the longitudinal and transverse wave velocity ratio under the ADA-MCMC-LpSC nonlinear optimization inversion algorithm is achieved, and the key geophysical problem that the accurate Zoeppritz equation cannot be directly used for predicting the Young impedance and the longitudinal and transverse wave velocity ratio parameters at the same time at present is solved.