53 results about "Ct technology" patented technology

The invention discloses an experimental device and method for simulating carbon dioxide micro-nano bubbles to improve the recovery ratio and monitoring storage, belongs to the technical field of oil and gas field development, and mainly aims at exploring the application potential of the carbon dioxide micro-nano bubbles in the aspect of improving the oil reservoir recovery ratio. A high-strength X-CT technology is used for monitoring the sealing effect of the carbon dioxide in the reservoir stratum in real time; the experimental device for simulating the carbon dioxide micro-nano bubbles to improve the recovery ratio and monitor the sealing comprises a first Quizix pump, a second Quizix pump, a confining pressure pump, a gas mass flow controller, a micro-nano bubble generation device, a micro-nano bubble phase state visualization device, a waste liquid collection device, a six-way valve, an oil source container, a gas source container, a liquid source container, a first pressure gauge and a second pressure gauge. The system comprises a core holder, a high-strength X-CT scanning device, an image capture camera and a master control system. The device can simulate carbon dioxide micro-nano bubbles to improve the crude oil recovery rate and monitor the sealing effect of carbon dioxide in real time.

The invention provides an intelligent crop seed vigor detection method and system. The method comprises the following steps: collecting and preprocessing seed data; extracting appearance, spectrum, hardness and internal quality characteristics of the seeds to generate a characteristic set; and inputting the feature set to the vigor prediction model to obtain a vigor prediction value, and dynamically adjusting a classification threshold to classify seed vigor. According to the method, quadruple features are integrated to construct a high-dimensional feature set, and the physiological activity and mechanical integrity of the seeds are accurately represented through a nanoindenter and an X-ray CT technology. An error feedback and optimization method is introduced, data changes are responded in real time, and the classification accuracy is improved. Micron-scale quantification is realized through X-ray CT tomography, and the embryo development evaluation accuracy is improved. The time sequence neural network is constructed, the dynamic relation between the characteristics is captured, the seed vigor descending trend is predicted in advance, and the long-term prediction stability is better.

The present invention discloses a low-frequency large-span electromagnetic wave CT data correction method, which comprises the following steps: Step 1, obtaining the initial emission field strength, the ground surface absorption coefficient and the absorption coefficient in the borehole: using the initial emission field strength obtained in Step 1, the distance from the emission antenna in the borehole to the hole mouth, and the distance from the receiving antenna in the borehole to the hole mouth, to obtain the field strength propagating along the borehole and the field strength propagating along the borehole, and the field strength of the corrected low-frequency electromagnetic wave propagating in a straight line at the shortest distance in the medium. The correction method disclosed by the present invention solves the problem of poor inversion effect of the measured data of the low-frequency cross-hole electromagnetic wave CT, realizes the application of the low-frequency cross-hole electromagnetic wave CT technology in a large hole distance of 20-40 m, improves the detection efficiency and reduces the detection cost.

The invention discloses a soil moisture migration model optimization method considering a soil pore structure and water repellency, relates to the technical field of soil physicochemical properties, and solves the problem that the influence of the soil pore structure on water repellency soil moisture movement is not disclosed at present. Comprising the following steps: quantifying related indexes of a soil pore structure and water repellency, revealing a driving effect of the soil pore structure on the strength of the water repellency of the soil, and establishing and verifying a water movement model considering the water repellency of the soil. According to the method, the driving effect of the soil pore structure on the soil water repellency is researched by utilizing the micron-sized X-ray CT technology, indirect method evaluation in traditional research is improved to more accurate direct method research, a new angle is provided for water movement research of the water repellency soil, the method and the content are both substantially innovated, and the method is worthy of popularization and application. The method is of great significance in expanding the calculation method of the water-repellent soil moisture movement and improving the simulation precision of the water-repellent soil moisture movement.

The invention provides an innovative measurement characterization method which integrates X-ray computed tomography (X-CT) and low-field nuclear magnetic resonance (NMR) technologies and aims at comprehensively and accurately analyzing the pore structure of the cement paste. According to the method, nano-crystalline cellulose (CNF) is introduced into a cement-based material in multiple dispersion modes, after standard curing is conducted for 7 days, nondestructive testing is conducted through the X-CT technology, two-dimensional and three-dimensional distribution of pores is qualitatively shown, meanwhile, key parameters of micron-sized pores are accurately measured, and a support is provided for macroscopic understanding of the pore structure. Furthermore, in combination with a low-field nuclear magnetic resonance technology, quantitative evaluation of a nanoscale pore structure is realized, volume information and pore size distribution characteristics of nanoscale pores are accurately acquired, the defect of X-CT in nanoscale detection is overcome, and accurate testing in a full-pore-size range from a gel pore to a non-capillary pore is realized. The combination method not only covers comprehensive analysis from microcosmic scale to macroscopic scale, but also realizes accurate visualization, and provides a new view angle and methodology for scientific research of the pore structure of the cement-based material. The method is expected to promote the development of the field of cement-based material pore structures, and provides powerful technical support and a new research direction for deep research in the field.

The invention discloses a shock wave CT inversion method and a rock burst early warning method based on active and passive double-source combination. The method comprises the following steps: 1, constructing a probability non-uniform initial velocity distribution model and a working face initial grid model of shock wave longitudinal waves and / or transverse waves; 2, travel time tomography forward modeling is carried out, and theoretical travel time and residual errors of theoretical longitudinal waves and / or transverse waves are calculated; 3, solving the gradient of the target function of the travel time residual; 4, carrying out seismic wave travel time tomography inversion, enabling the residual error and the RMS residual error to reach a stable state through the iterative adjustment of the seismic source and the velocity parameters of the longitudinal wave and / or transverse wave of the seismic wave, and outputting the final seismic source parameter and wave velocity; and 5, verifying the feasibility and accuracy of the inversion model through active CT numerical simulation, passive CT numerical simulation and active and passive double-source combined CT numerical simulation experiments. Working face wave velocity distribution obtained through inversion is more accurate, and the efficiency and accuracy of the shock wave CT technology are improved.

The present invention belongs to the technical field of three-dimensional reconstruction modeling of the mesoscopic structure of materials, and particularly relates to a three-dimensional reconstruction modeling method for fiber-reinforced composite materials based on CT slice images, which comprises the following steps: 1) Using CT technology to obtain mesoscopic slice images of fiber-reinforced composite materials and convert them into grayscale images; 2) Binarizing the mesoscopic CT slice grayscale images of the composite materials; 3) Identifying the fiber bundle contours of the binarized material grayscale images; 4) Smoothing the fiber bundle contours of the material grayscale images; 5) Three-dimensional reconstruction of the mesoscopic structure of the fiber-reinforced composite materials. The present invention provides a method for three-dimensional reconstruction modeling at the mesoscopic scale, which greatly reduces the cost and error of manual three-dimensional reconstruction modeling, can accurately and efficiently quantify and characterize the changes in the morphology and size of the mesoscopic structure of materials, and has good engineering popularization prospects.

The application provides a product internal flow channel profile extraction method based on industrial CT. The method comprises: obtaining an industrial CT three-dimensional image of a product to be detected; slicing the industrial CT three-dimensional image to obtain a plurality of two-dimensional slices; obtaining a plurality of flow channel contours in the plurality of two-dimensional slices; splicing the plurality of flow channel contours to form a three-dimensional model; and extracting the flow channel profile based on the three-dimensional model. The method directly extracts the flow channel structure by using a segmentation technique in three-dimensional CT volume data, reconstructs the flow channel structure into a three-dimensional point cloud model, and thus intuitively and quickly analyzes parameters such as the wall thickness, size, shape and directionality of the flow channel. The method solves the problem that the existing industrial CT technology cannot directly evaluate the blockage, size and integrity of the flow channel through volume data.

The invention discloses a method for testing the concentration of chloride ions in reinforced concrete based on micron-sized X-CT and comsol finite element technologies. The method comprises the following steps: S1, preparing the reinforced concrete: treating reinforcing steel bars: selecting Q235 carbon round steel with the length of 20-30mm and the diameter of 5-8mm; and placing the reinforcing steel bar on a polishing machine, and polishing for 5-8 minutes by using SiC abrasive paper. According to the method, the micron-sized X-CT technology and the comsol finite element technology are combined, the limitation of a traditional testing method is overcome, the micron-sized X-CT technology provides a real image of the internal microstructure of the concrete, accurate basic data are provided for simulation analysis of comsol software, the testing result is closer to the actual situation, and the accuracy of chloride ion concentration testing is improved.

The invention provides an underground cavern group geological analysis method based on a TGS technology and a CT technology, and the method comprises the steps: scanning the geological conditions of an underground cavern group in the horizontal direction through the TGS technology, and obtaining first geological data in the horizontal direction; forecasting the geological conditions of the underground cavern group in the vertical direction through a CT technology to obtain second geological data in the vertical direction; fusing the first geological data and the second geological data to generate a three-dimensional geological model; based on the three-dimensional geologic model, identifying the position and the distribution range of unfavorable geologic bodies in the underground cavern group, and analyzing the geological characteristics of the surrounding rock to obtain an analysis result; according to the analysis result, the spatial distribution information of the unfavorable geologic body and the corresponding geological phenomenon description are output, the misjudgment risk caused by data discontinuity of a traditional method is overcome, and the recognition capacity for complex geological phenomena such as inclined strata and cross fractures is improved.

The present invention discloses an automatic calculation and adjustment method for the central projection parameters of a CT system, and relates to the technical field of industrial CT. The light cone of the CT light-emitting base point is adjusted to irradiate into the detector sensing plate; the CT light-emitting base point is turned on, and the displacement of the Z and X of the first positioning platform is adjusted, and the displacement of the X and Y of the third positioning platform is adjusted, and the projection of the detection plate is adjusted to be displayed in the detector sensing plate; the point position of the detection ball projected onto the detector sensing plate is recorded; the offset detector sensing plate records and combines the four-point data on the multiple offset detector sensing plate, calculates four straight lines, and uses the four straight lines to calculate the central coordinates of the CT light-emitting base point; the center of the CT light-emitting base point is adjusted to be on the same axis as the center point of the detector sensing plate. The tedious operation of accurately calculating the four-point model used for correction is reduced, and the requirements can be met by manual processing only by using a simple four-point model with low precision requirements.

The present invention discloses a method for inversion of shockwave CT and rockburst early warning based on active and passive dual-source combined shockwave CT. The method comprises the following steps: 1. constructing a probabilistic non-uniform initial velocity distribution model of longitudinal and / or shear waves and an initial mesh model of a working face; 2. performing forward traveltime tomography to calculate the theoretical traveltime and residual of the theoretical longitudinal and / or shear waves; 3. solving the gradient of the objective function of the traveltime residual; 4. performing traveltime tomography inversion to iteratively adjust the velocity parameters of the source and longitudinal and / or shear waves of the shockwaves, so that the residual and RMS residual reach a stable state, and outputting the final source parameters and wave velocity; 5. testing the feasibility and accuracy of the inversion model through active CT numerical simulation, passive CT numerical simulation, and active and passive dual-source combined CT numerical simulation experiments. This method makes the inverted working face wave velocity distribution more accurate, thereby improving the efficiency and accuracy of the shockwave CT technology.

This invention belongs to the field of particulate materials technology and relates to a simulation method for the evolution of microscopic pore structure during the crushing process of porous and fragile particles. The method includes the following steps: sample preparation, high-resolution X-CT scanning, image processing to obtain the analysis volume, three-dimensional reconstruction to generate a three-dimensional rendering model, multi-scale simulation to establish the model, pore extraction, porosity analysis, pore connectivity analysis, connected porosity analysis, and pore structure parameter analysis. Based on X-CT technology and AVIZO software, using high-resolution tomographic data and combining the denoising, segmentation, and modeling functions of AVIZO software, the pore structure changes during particle crushing are accurately extracted. Through three-dimensional reconstruction and pore structure analysis of single particles at the microscale, and overall simulation of the crushing behavior of particle groups at the microscale, the evolution law of porosity and its key parameters is dynamically quantified, and a quantitative correlation model between the degree of crushing and porosity changes is established.

The invention belongs to the technical field of CT (Computed Tomography), and discloses an anti-backswing shielding curtain, which comprises a first curtain and a second curtain, the second curtain is formed by second curtain strips side by side; the first curtain and the second curtain are arranged in a laminated manner; the first resistance piece is fixedly arranged on the first curtain strip, and the second resistance piece is fixedly arranged on the second curtain strip; at least one first resistance piece is arranged on the first curtain strip, and the second resistance pieces and the first resistance pieces are arranged in a one-to-one correspondence mode and attract each other; security check articles pass through the shielding curtain from one side of the first curtain, and when the shielding curtain is suspended and is not subjected to external force, the fixing position of the first resistance piece is lower than that of the corresponding second resistance piece. The invention further discloses a CT security inspection machine comprising the anti-backswing shielding curtain. The technical problems that in an existing security inspection machine, the backswing amplitude of a shielding curtain is too large, and the internal space of the machine cannot be fully utilized are solved.

The application discloses a kind of based on CT scanning image's additive repair blade fatigue failure analysis method.Combining the way of CT technology and optical microscope is used to carry out defect test analysis and crack imaging to additive repair titanium alloy blade, establish the correlation law between the defect characteristics of titanium alloy blade additive repair area and fatigue performance.First, utilize high-resolution CT technology to carry out nondestructive testing to blade, carry out global defect reconstruction to the leading edge of additive repair titanium alloy blade, obtain the distribution characteristics of defect parameters by statistical analysis;Analysis of defect-related fatigue source and crack propagation behavior, combined with defect-dependent additive repair blade high-cycle fatigue life (limit) model, establish a kind of fatigue failure analysis method based on CT scanning image.Through the method, key defects can be accurately identified and its influence on blade service life is predicted, so as to provide scientific basis and theoretical guidance for repair and reuse of aero-engine blade.

The application is suitable for the field of vehicle-mounted CT technology, and provides an anti-collision protection structure for vehicle-mounted CT, which comprises a vehicle cabin, a CT machine and an anti-collision assembly slidingly arranged on the inner wall of the vehicle cabin; the inner wall of the vehicle cabin is symmetrically provided with guide sleeves on both sides of the CT machine; a lifting piece is slidingly arranged between the two guide sleeves; a first sliding rod is arranged on the side of the guide sleeve close to the bottom; the anti-collision assembly comprises a C-shaped protection plate, two side plates and a detection bed plate; the C-shaped protection plate is slidingly arranged on the lifting piece; the two side surfaces of the C-shaped protection plate are fixedly connected with arc-shaped sleeves; the two side plates are rotatably arranged on corresponding connecting shafts; the side plates are fixedly connected with arc-shaped rods; the arc-shaped rods are slidingly arranged in the arc-shaped sleeves; arc-shaped tension springs are arranged between the arc-shaped rods and the arc-shaped sleeves; and the detection bed plate is slidingly arranged on the surface of the C-shaped protection plate. The device is capable of storing and unfolding the anti-collision assembly, achieving anti-collision protection of the CT machine and saving the use space inside the vehicle cabin, thereby saving the maintenance cost.

The utility model discloses a CT / DR (Computed Tomography / Digital Radiography) two-in-one spectrum detection system applied to ore classification and identification. Comprising a containing box used for containing a detector, a movable platform used for containing ore and an X-ray light source. The detector and the X-ray light source respectively correspond to the ore on the movable platform; by combining the advantages of the CT technology and the DR technology, spectral information of the ore can be obtained more comprehensively; the X-ray light source is accurately positioned through the infrared laser set, it is ensured that the light path center of the X-ray light source can accurately irradiate the ore, and the measurement accuracy and stability are improved.

This invention discloses a weak signal processing method for electromagnetic wave CT, solving the problem that electromagnetic wave attenuation leads to signal submersion in strong environmental noise when electromagnetic wave CT technology is used for long-span measurements or measurements in strata with high absorption coefficients. This enables the application of electromagnetic wave CT technology with borehole spacing exceeding 40m in strata with high absorption coefficients, reducing the number of boreholes along geological exploration routes by more than half, significantly reducing drilling costs and improving geological exploration efficiency. This invention has been tested in several confidential experiments on multiple subway lines, achieving good results. The application of this invention will have significant implications for improving the efficiency of urban underground space development and geological exploration in complex environments, as well as controlling construction costs.

The present application relates to the technical field of medical devices, and in particular to a tibial extramedullary osteotomy positioning device and method. A tibial extramedullary osteotomy positioning device includes a leg frame and a positioning assembly, the positioning assembly includes a positioning frame, a mounting seat, a plurality of positioning plates and a plurality of developing needles, the plurality of positioning plates and the plurality of developing needles are arranged in a one-to-one correspondence, the positioning plate is fixedly arranged on the leg frame, the positioning plate is provided with a mounting hole for installing the corresponding developing needle, a mounting seat is provided on both sides of the leg frame, a mounting plate is provided between the two mounting seats, the mounting plate and the mounting seat are detachably connected, and a multi-directional adjustment assembly capable of adjusting the positioning frame at multiple angles is provided on the mounting plate; a tibial extramedullary osteotomy positioning method, by combining with CT technology, can measure the angle between the tibial shaft and the developing needle, and adjust the positioning frame to the appropriate angle through the multi-directional adjustment assembly to complete the positioning, and the present application has the effect of improving the accuracy of tibial fixation.

The invention belongs to the field of analytical chemistry, and particularly relates to an artificial biofilm on-line monitoring method based on an X-ray CT (Computed Tomography) technology, which comprises the following steps: cutting and sampling an artificial biofilm, and then fixing a sampled sample on an objective table; rotating the objective table, and performing multi-angle tomography on the artificial biofilm sample on the objective table by using X rays in the process to obtain a series of tomographic images; and carrying out noise reduction, reconstruction and rendering on the series of cross-sectional images through Dragonfly Pro software to obtain a three-dimensional reconstructed X-ray CT image of the artificial biofilm sample. By adopting the method provided by the invention for online monitoring of the artificial biofilm, nondestructive imaging of the artificial biofilm can be realized, and information such as growth state and distribution condition of loaded bacteria can be obtained.

The present application relates to the field of CT technology, and more particularly to a CT vehicle, comprising a trailer provided with a carriage, a CT machine being provided inside the carriage, a scanning cavity being provided on the CT machine, the axial direction of the scanning cavity being the same as the width direction of the carriage, a CT scanning bed being provided on one side of the CT machine for use therewith, and a supporting assembly being provided inside the carriage for supporting the CT scanning bed, so as to achieve the effect of facilitating examination for patients and providing more convenience for patients.

The invention discloses an application of nitric oxide synthase neurons in an island leaf cortex II layer in preparation of a medicine for treating osteoporosis, and systematically reveals a nerve stress induced bone metabolism imbalance mechanism by constructing a chronic heterologous pressure stress mouse model and combining an enzyme-linked immunosorbent assay and a high-resolution micro-CT (Computed Tomography) technology; the method comprises the following steps: accurately positioning specific nerve connection between nNOS neurons of an island leaf cortex II layer and bone tissues for the first time by adopting a reverse cross-polysynaptic virus tracing technology, and determining that the region is a key central target point regulated and controlled by a brain-bone axis; the activity of target neurons is specifically intervened through a chemical genetics technology, it is proved that activation can induce the phenotype of osteoporosis, and pathologic indexes are remarkably improved through inhibition.

The invention provides an efficient mu-CT image resolution enhancement and deblurring method and system, and relates to the technical field of image processing.The method comprises the steps that firstly, an original high-resolution image is collected and processed through a multi-mode degradation method to generate a low-resolution image so as to construct a training set; and meanwhile, the unsaturated Taihua sand is imaged by adopting a phase contrast mu-CT technology and the like to obtain a test set. A network model containing three generators, a feature extractor and a discriminator is built, a loss function is determined according to a balance loss method, and the generators are optimized; then, a generative adversarial network model is obtained through a low-resolution image training model, the performance of the generative adversarial network model is adjusted by means of hyper-parameters, and a super-resolution image is obtained by predicting a test set through the model. And finally comparing image indexes to evaluate the generalization ability of the model so as to decide whether to continue training. Compared with a traditional method, the method has better performance on various image indexes, can effectively improve the quality of the porous medium mu-CT image, and has important application value in multiple fields of oil and gas exploitation, geological exploration and the like.

The application relates to the field of precision detection technology and discloses a machine tool key component detection method based on industrial CT, which comprises the following steps: CT scanning of a machine tool key component to be detected to obtain CT image data; generating a three-dimensional model of the key component based on the CT image data; and defect segmentation of the three-dimensional model by using a deep learning segmentation network, wherein the deep learning segmentation network adopts an encoding-decoding structure, a channel attention unit is introduced in an encoder, a spatial attention unit is introduced in a skip connection, and internal defects are identified; the application realizes nondestructive testing of machine tool key components by using the industrial CT technology, the key components do not need to be disassembled, a deep learning segmentation network is used and a double-attention mechanism is introduced, the identification capability of small-size defects is significantly improved, accurate positioning and classification of defects are realized, and the high-precision detection requirement of machine tool key components is met.

According to the image reconstruction method and system based on self-supervised noise reduction of the photon counting detector, the medium, the program product and the terminal provided by the invention, by constructing the noise propagation model of the photon counting CT technology in the material decomposition process, the counting noise prediction precision of the detector is improved based on the neural network; and then a self-supervised noise reduction result is optimized by using the noise propagation model, and the problem of insufficient photon counting CT training data at present is solved. According to the method, a complex modeling process and a time-consuming calculation process are not needed, response laws of different photon counting detectors can be accurately fitted only through a small amount of data, the problem of noise amplification in the material decomposition and image reconstruction process of the PCCT technology is solved, and the image quality and the processing efficiency are greatly improved. The noise reduction method based on deep learning shows extremely high practical value in the field of clinical application, is expected to provide more reliable and high-quality technical support for related work such as medical diagnosis, and promotes further development of clinical practice.

The present invention discloses a SPECT / CT image fusion method and system based on deep learning, including: acquiring images respectively through SPECT technology and CT technology; constructing a multi-modal deep learning feature extraction network to extract features of SPECT and CT images respectively; generating a fusion strategy for the extracted features; and fusing SPECT and CT according to the fusion strategy. By constructing a multi-modal feature extraction network through deep learning, precise fusion of SPECT and CT images is achieved, fully retaining the functional information of SPECT and the anatomical details of CT, improving the clarity and contrast of the images, enhancing the detection ability for abnormal regions, significantly improving the diagnostic accuracy, and providing more comprehensive support for clinical decision-making.

A pig leather, cow leather or sheep leather identification method based on Micro-CT technology relates to the technical field of leather identification, and comprises the following steps: (1) carrying out Micro-CT scanning on a leather sample to obtain a three-dimensional image of the leather sample; (2) performing virtual slicing on the three-dimensional image by using analysis software to obtain a longitudinal section image of the internal structure of the leather sample; (3) observing the condition that the hair follicles penetrate through the leather body in the longitudinal section image, and measuring the inclined included angle between the hair follicles and the grain surface; (4) if the hair follicles penetrate through the leather body, judging that the leather is pig leather; if the hair follicles do not penetrate through the leather body and the inclined included angle is 23-30 degrees, judging that the leather is cattle leather; and if the hair follicles do not penetrate through the leather body and the inclined included angle is 13-20 degrees, determining that the leather is sheep leather. According to the method, the internal three-dimensional structure of the leather can be deeply detected without slicing treatment, and high-efficiency nondestructive identification of pig leather, cow leather or sheep leather is realized.

The utility model relates to the technical field of medical products, and discloses an electrode wire and a stimulation system. The stimulation section of the electrode wire is provided with a developing identification assembly, the developing identification assembly is provided with a first identification part and a second identification part which are connected with each other in the axial direction of the electrode wire, and the first identification part is provided with at least one through identification hole. The angle of the development identification assembly can be identified in the X-ray development image of the development identification assembly through the identification hole; the second identification part comprises two arc-shaped display sheets extending in the axial direction of the electrode wire, the two display sheets are arranged at intervals in the circumferential direction, a first notch is formed between the ends, close to each other, of the two display sheets in the circumferential direction, and a second notch is formed between the ends, away from each other, of the two display sheets in the circumferential direction. The first gap is smaller than the second gap. Through the X-ray imaging technology and the CT technology, the orientation information of the electrode plate can be obtained through naked eyes, and the operation convenience is improved.

The present application relates to the technical field of high-performance cement-based material preparation and process control, and particularly relates to a self-compacting ultra-high performance concrete performance optimization method based on rheological parameter regulation. The steps are as follows: steel fibers are added to self-compacting ultra-high performance concrete slurry with rheological parameters in a set range to prepare test pieces, X-ray CT technology is used to perform three-dimensional reconstruction on the test pieces after curing, steel fiber distribution parameters are extracted, and crack propagation morphology and strain field distribution data are collected; an interface homogeneity index related to the steel fiber distribution parameters, crack propagation morphology and strain field distribution data is constructed, and X-ray CT technology is used to perform interface densification analysis; a function mapping relationship between the rheological parameters and the interface microstructure is constructed to determine the value range of the optimal yield stress and plastic viscosity. The above method is used to realize performance optimization in the self-compacting ultra-high performance concrete preparation stage.

The invention provides a method and device for determining the dependent variable of a loaded coal rock test piece and electronic equipment, and the method comprises the steps: obtaining a coal rock test piece, a first scanning image of the coal rock test piece in an unloaded state, and a plurality of second scanning images of the coal rock test piece in a continuous load state, thereby obtaining a dependent variable of the coal rock test piece for any second scanning image; according to the second scanning image and the first scanning image, determining the accurate displacement of each voxel in the second scanning image, and then according to the accurate displacement of each voxel in the second scanning image and the position of each voxel in the second scanning image in the first scanning image, determining the accurate displacement of each voxel in the second scanning image; and determining the dependent variable of the corresponding point of the coal rock test piece in the load state corresponding to the second scanning image. Therefore, the CT technology and the DVC technology can be combined to determine the dependent variable of any point of the loaded coal rock test piece in the corresponding load state, and the accuracy and reliability of dependent variable determination are effectively improved.