3273results about "Permeability/surface area analysis" patented technology

The invention relates to the technical field of construction surrounding rock stability evaluation, discloses a tunnel surrounding rock stability evaluation method and system based on multi-physics field parameter inversion, and aims to solve the problems that an existing method is insufficient in data collaboration, high in parameter inversion multiplicity and poor in surrounding rock stability evaluation accuracy and timeliness. According to the scheme, the method mainly comprises the steps that an acousto-optic electromagnetic vibration drill multi-mode sensing array is arranged, and time-space synchronization is implemented; establishing a mutual interference entropy spectral density model to realize multi-physics field collaborative excitation and acquisition; a unified feature vector is obtained through data correction, feature extraction and weighted fusion; a joint inversion objective function embedded with rock physical constraints is constructed, a three-dimensional physical property parameter field is obtained through inversion, and a dynamic permeability field is calculated in combination with acoustic emission energy; and finally, dynamically updating the model by utilizing ensemble Kalman filtering, and obtaining a final risk probability based on updated parameters and seepage-uncertainty coupling correction. According to the method, the accuracy, the real-time performance and the reliability of the stability evaluation of the surrounding rock of the deep-buried tunnel are improved.

The invention provides a river levee flood control pile foundation stress analysis method and system, and relates to the technical field of river levee flood control pile foundation stress analysis. Multi-channel sensors are arranged on the pile top, the pile side and the pile end, and the sampling frequency is automatically switched along with the flood stage; inverting the soil saturation based on displacement and pore pressure change, dynamically correcting the permeability coefficient and the effective stress, and outputting a space-time coupling parameter matrix; determining a hazard source for the monitoring point, constructing an elliptical search domain by taking the hazard source as a center, and recursively incorporating abnormal points to form a risk area; a seepage-structure full-coupling finite element model is established in the risk area, the outside of the area is simplified through an equivalent spring boundary, and a pile foundation stress-strain field and a safety coefficient are calculated through self-adaptive time step control; and finally, generating a risk report according to safety factor classification, marking a high-risk area, automatically improving the sampling frequency and triggering early warning.

The invention discloses a viscous coarse-grained soil permeability coefficient prediction method based on a physical constraint neural network, and the method comprises the following steps: carrying out an indoor viscous coarse-grained soil seepage test, and establishing a viscous coarse-grained soil permeability coefficient formula considering porosity and grain composition characteristics, further constructing a mixed model containing a physical driving item and a neural network data driving item, forming a complete data set through a numerical simulation technology and literature investigation on the basis of a seepage test, complementarily collecting porosity, grain composition characteristics and corresponding permeability coefficient data of the viscous coarse-grained soil sample, and dividing the complete data set into a training set and a test set; according to the method, optimal hyper-parameters are dynamically searched in combination with Bayesian optimization for model training, a loss function curve and permeability coefficients of the viscous coarse-grained soil under different porosity and grading characteristics are obtained, tests show that high-precision prediction of the permeability coefficients of the viscous coarse-grained soil is achieved, and the problems that a traditional method is insufficient in physical constraint and low in prediction precision are solved.

The invention provides a rock-soil body multi-field coupling intelligent monitoring system comprising a multi-field sensing device configured to monitor parameters of a deformation field, a seepage field, a temperature field and a stress field of a rock-soil body; the edge calculation and transmission device is configured to perform preprocessing and real-time transmission on the multi-field sensing data; and the intelligent decision-making device is configured to analyze the preprocessed data based on a multi-field coupling model and generate disaster early warning information. According to the rock-soil body multi-field coupling monitoring system and method provided by the invention, synchronous monitoring of a deformation field, a seepage field, a temperature field and a stress field is realized through the multi-field sensing device; real-time data processing is performed in combination with an edge calculation and transmission device, and a dynamic early warning mechanism is established by using an intelligent decision-making device, so that the technical problems of multi-field data space-time correlation failure, insufficient multi-source data fusion precision and poor early warning mechanism adaptability are effectively solved, and the geological disaster early warning method has the remarkable advantages of improving the geological disaster early warning accuracy and timeliness.

The invention discloses an earth and rockfill dam material seepage deformation inspection system and method, and relates to the technical field of earth and rockfill dam engineering.The method comprises the steps that a sample of an earth and rockfill dam material is prepared and arranged in a test cavity of a permeameter; maintaining a steady-state seepage field in the sample; in the maintaining process of the steady-state seepage field, acoustic response signals and thermal response signals excited in the sample due to the seepage effect are synchronously collected through a distributed sensing system arranged around the sample; analyzing the acquired acoustic response signal and thermal response signal, and identifying and positioning an acoustic abnormal area with abnormal sound energy release and a thermal abnormal area with abnormal thermal change; and after the early warning signal is generated, the spatial and temporal distribution characteristics of the acoustic abnormal region and the thermal abnormal region are used as input, a parameter distribution field representing the damage evolution of the microstructure in the sample is calculated through a coupled physical inversion algorithm, and the permeability stability of the sample is evaluated based on the parameter distribution field.

The invention discloses road and bridge construction concrete detection equipment, and relates to the field of concrete detection.The road and bridge construction concrete detection equipment comprises a sample seat and a movable pressing plate, vertical plates are fixed to the two sides of the upper surface of the sample seat, top plates are fixed to the top ends of the two vertical plates, and a limiting groove used for placing a concrete block is formed in the center of the upper surface of the sample seat; the pressing plate is located above the limiting groove, a groove is formed in the center of the upper surface of the pressing plate, a liquid storage cylinder is fixed in the groove, and liquid penetrating holes are formed in the positions, located in the groove, of the lower surface of the pressing plate and the bottom end of the liquid storage cylinder; a pressure applying assembly and two transmission assemblies are arranged above the liquid storage cylinder, the two transmission assemblies are symmetrically arranged on the pressure applying assembly, and inner chain wheel teeth are arranged on spokes corresponding to the two rope winding rollers respectively. And the stress environment of the road and bridge concrete in real service is restored, and the comprehensiveness and reliability of detection data are improved.

The invention is suitable for the technical field of logging lithology identification, and provides a logging lithology identification method based on physical information constraint, which comprises the following steps: step 1, data processing; 2, constructing a graph; step 3, constructing a graph attention neural network; 4, constructing a mixed loss function; and 5, lithology prediction. According to the method, through the synergistic effect of data driving and physical information, the performance is obviously superior to that of various pure data driving models. Benefited from the strong regularization effect of physical constraints, the method has stronger generalization ability and prediction stability on new data. The problem that a traditional black box model may generate a result violating physical common knowledge is fundamentally solved, and the geologic rationality of an output result is ensured.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention discloses a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment system and a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment method. The system comprises a gas-liquid mixed injection system, a Kr adsorption system, a visual triaxial core holder system, a CT scanning system and a tail gas analysis and treatment system. According to the experimental method, Kr similar to CH4 in dynamic diameter and other parameters is selected as a CT tracer to replace CH4, and 4D visualization of coal body internal pore and fracture structure evolution and Kr concentration field displacement migration process can be realized through three-dimensional reconstruction of CT images at different displacement moments and registration, gray correction and normalized concentration calculation of the images. The problem that the gas migration rule in the coal body in the displacement experiment is not clear is solved; the dynamic diffusion process inversion of the coal bed gas in the coal bed difficult to extract is realized by utilizing the distribution characteristic evolution of the Kr gas in the coal body, so that the in-situ coal body fissure structure in the coal sample and the dynamic migration law of methane in the displacement process are obtained, and the method has great significance for revealing the displacement development mechanism of unconventional natural gas such as the coal bed gas.

The invention discloses a fluid distribution dynamic regulation and control method and device based on a shale reservoir microstructure, and relates to the technical field of oil and gas exploitation. The method comprises the steps that microstructure parameters of a target shale reservoir are obtained through a core experiment, and a multi-scale model is constructed based on the microstructure parameters; determining control equations of different physical fields of the multi-scale model; coupling the control equations of different physical fields, and resolving through a finite element method; performing a numerical simulation experiment based on the multi-scale model and the resolving result to determine regulation and control parameters; the regulation and control parameters are input into the multi-scale optimization model to optimize the regulation and control parameters, and a regulation and control strategy is obtained. The problems that an existing displacement experiment is single, the complex interaction process under the actual mining environment is not comprehensively considered, and the guiding effect on mining work is limited are solved. Business personnel can be guided to formulate a development scheme more scientifically and accurately, the mining efficiency and the success rate are improved, the development cost can be reduced, and meanwhile economic benefits are improved.

The invention discloses a coastal corrosion geological environment structure corrosion resistance evaluation method and system, and relates to the technical field of building structure corrosion resistance evaluation. The method comprises the steps of data acquisition, coast environment corrosion factor data is acquired by arranging a sensor module, related data of a building structure is acquired at the same time, and the accuracy of assessment data and assessment results is effectively improved by considering multiple factors into the corrosion resistance assessment of the building structure in the coast region; meanwhile, a coupling corrosion rate correction model is constructed, corrosion factor data monitored in real time and real-time data of the building structure are combined, the purpose of evaluating the corrosion resistance of the building structure in the coastal area according to real-time changes of corrosion factors in the tidal period is achieved, the real-time performance of an evaluation result is guaranteed, and the evaluation efficiency is improved. And the accuracy of the evaluation data is further improved.

The invention provides a fracture deformation-seepage cross-scale visualization experiment device and a test method, and relates to the technical field of hydraulic rock mechanics and measurement. Comprising a macroscopic observation assembly, a microscopic observation assembly, a microscopic seepage model, a temperature-stress-seepage loading system, a monochromatic coaxial light source and a data acquisition and analysis system, the microscopic seepage model is used for placing a fractured rock mass; the temperature-stress-seepage loading system is used for injecting fluid with fluorescent microspheres into the microcosmic seepage model, applying load, regulating and controlling temperature and collecting data; the data acquisition and analysis system is used for processing data and images. By arranging the macroscopic observation assembly and the microcosmic observation assembly, double-scale synchronous observation is achieved, the whole process of fracture internal fluid interface evolution and rock mass deformation can be obtained in real time under the multi-physics field coupling conditions of temperature, stress, seepage and the like, visual correlation of deformation, flow and stress is achieved, and the measurement accuracy is improved. And an experimental basis is provided for establishing a fracture multi-field coupling mechanism model.

The invention discloses a multi-parameter distortion compensation method for a fractured rock mass seepage similar model test, and relates to the technical field of rock mass engineering physical model tests. The method comprises the following steps of: firstly, determining two constraint conditions that the fluid property is invariable and the gravitational acceleration is invariable, correspondingly selecting a basic physical quantity and extracting a core criterion; then analyzing three types of distortion sources of geometric dimensions, dielectric materials and boundary conditions, and establishing a distortion function according to result parameters of seepage flow velocity, seepage flow and seepage pressure; secondly, parameters difficult to control are selected as distortion items, parameters easy to regulate and control are selected as compensation items, the distortion items are substituted into a distortion function to obtain a distortion ratio, the optimal distortion ratio of the compensation items is solved based on a compensation balance formula, and the parameters are adjusted; and finally verifying the interval range of the actually measured distortion ratio. According to the method, the multi-source distortion coupling influence is accurately quantified, the compensation pertinence and precision are improved, operation is easy and convenient, universality is high, and reliable support is provided for underground engineering seepage research.

The invention relates to the technical field of carbon dioxide geological sequestration, and discloses a coal seam mixed gas injection, displacement and sequestration integrated device and method.The coal seam mixed gas injection, displacement and sequestration integrated device comprises an injection assembly, a visual confining pressure loading assembly, a crack monitoring assembly, a permeability testing assembly and a gas output analysis assembly; the injection assembly is used for providing and injecting a gas source required by an experiment, the visual confining pressure loading assembly is used for carrying out the experiment based on the gas source injected by the injection assembly, the experiment process is converted into a visual crack image through the crack monitoring assembly, and the permeability testing assembly is used for filtering particles in fracturing fluid in the experiment process. According to the device, a transparent material is adopted, and a CT scanner is combined, so that the problem that a traditional device cannot perform real-time monitoring due to metal shielding is solved, visual monitoring of coal sample crack and pore structure evolution is realized, and the intuition and precision of crack evolution law research are improved; and reliable technical support is provided for revealing the structural response of the coal sample under the action of different stresses and fluids.

The invention discloses a multi-scale performance evaluation and optimization method and device for well cementation cement stone, and relates to the technical field of oil exploitation, the well cementation cement stone is subjected to nanoindentation test and scanning electron microscope microstructure test, and a mechanical property-microstructure test result is obtained; performing electronic computer tomography and mercury injection test on the well cementation cement stone, and constructing a pore network three-dimensional model; performing triaxial mechanical property test, thermogravimetric analysis and thermal expansion test on the well cementation cement stone to obtain a thermal-mechanical coupling test result; performing X-ray diffraction and X-ray fluorescence spectrum analysis on the well cementation cement stone to obtain mineral phase information and element information of the cement stone; according to the method, a mechanical property-microstructure test result, topological parameters, a thermal-mechanical coupling test result, cement stone mineral phase information and element information are fused, an optimal design scheme for target well conditions is generated, multi-dimensional performance testing and characterization are achieved, and an accurate basis is provided for well cementation cement stone optimal design and quality control.

The invention discloses a method and equipment for evaluating the sensitivity of shale porosity to the pH value of a well-entering fluid, and the method comprises the steps: obtaining a plurality of groups of experimental data of a shale sample, the experimental data comprising a first initial porosity and a first pH value of the well-entering fluid corresponding to the shale sample; a three-dimensional response curved surface model of the porosity increment, the initial porosity and the pH value is constructed according to the experimental data, the initial porosity comprises the first initial porosity, and the pH value comprises the first pH value; according to the three-dimensional response curved surface model, the target initial porosity of the target shale and the target pH value of the well entering fluid corresponding to the target shale, the target porosity increment of the target shale is predicted; and evaluating the sensitivity of the target shale to the second pH value according to the target porosity increment. According to the technical scheme provided by the invention, the porosity increment of the target shale can be predicted, and the sensitivity of well entering fluids with different pH values can be quantitatively evaluated based on the porosity increment.

The invention relates to a rock rough interface nonlinear seepage visualization test device and method. The device is characterized in that a fissure surface digitalization module generates a digitalized fissure model by obtaining natural rock sample fissure three-dimensional point cloud data through noise reduction, feature extraction and parametric modeling; the crack test piece preparation module is used for preparing a photosensitive resin crack test piece by adopting photocuring 3D printing based on the digital crack model, and then carrying out surface silicon dioxide nanoparticle spraying treatment to obtain the crack test piece; the multi-field flow field acquisition module is used for acquiring flow field information of the crack test piece by applying a microscopic flow field visualization measurement technology; and the seepage modeling analysis module identifies a seepage interface and extracts a dominant flow path based on the flow field information, and fits a nonlinear seepage curve in combination with a Forchhe immer equation to finally obtain a three-dimensional correlation model representing fracture seepage characteristics. The device can accurately reproduce the physical characteristics and seepage environment of the natural rough fracture, and effectively capture the nonlinear seepage rule under the multi-field coupling condition.

The invention provides a method for determining microcosmic characteristic influence factors of a shale reservoir. The method comprises the steps of rock core observation, sampling and experiment, and lithofacies type division according to rock core observation and experiment results; performing characteristic evaluation on different types of lithofacies, and determining favorable lithofacies types; analyzing reservoir microscopic characteristics of different types of lithofacies; and according to an analysis result, determining factors influencing the microscopic characteristics of the reservoir. According to the method, favorable lithofacies and reservoir microscopic feature analysis can be comprehensively and effectively carried out, the evaluation accuracy is improved, and the accuracy is improved by 40% and reaches 90%; the working efficiency is improved, invalid work is avoided, the workload of two persons in 10 days is reduced to be completed by one person in 10 days, and lithofacies evaluation and reservoir microscopic feature influence factor analysis can be efficiently completed.

The invention belongs to the technical field of hydrogen adsorption, leakage and sequestration simulation experiments, and particularly relates to a system and a method for detecting the hydrogen adsorption, leakage and sequestration capacities of soil. The system comprises a simulation bin system, a hydrogen inlet system, a helium inlet system, a water inlet system and a gas outlet system, the simulation bin system is divided into an air simulation bin, a sample bin and a gas source bin by a pressurizing device and a supporting device, and a water vapor heating disc is arranged in the gas source bin. The hydrogen inlet system is in valve control connection with the gas source bin, the helium inlet system is in valve control connection with the air simulation bin and the gas source bin, the water inlet system is in valve control connection with the steam heating disc, and the gas outlet system is in valve control connection with the air simulation bin and the gas source bin. The method comprises eight steps, and the processes of adsorption, leakage and sealing storage of hydrogen in soil when the hydrogen leaks upwards under different air temperatures and air pressures in the nature are simulated. Therefore, the system and the method can provide theoretical and technical guidance for earth surface exploration of natural hydrogen.

The invention relates to a lubricating grease porous material permeability test device, and relates to the technical field of material performance analysis, the device comprises a placing table for placing a sample, the placing table is provided with a driving device and a test seat, and the test seat is provided with a test cavity; the driving device is used for driving the testing seat to move in the direction close to the placing table so as to contain the sample into the testing cavity; a sensing device used for sensing lubricating grease below the sample is arranged on the placing table, a sealing device used for sealing the peripheral wall of the sample is arranged in the testing cavity, a conveying device used for conveying the lubricating grease to the position above the testing cavity is arranged on the placing table, and a pressurizing device used for applying pressure to the lubricating grease above the sample is arranged on the placing table. The multiple steps of sample clamping, sealing, grease injection, pressurization and detection are integrated into a coherent automatic process, the test efficiency is remarkably improved, the consistency of test conditions is ensured through mechanical positioning and automatic control, and high repeatability and high reliability of test results are ensured.

The invention discloses a carbon dioxide seepage dominant channel judgment and permeation enhancement effect evaluation method and system, and the method comprises the following steps: obtaining three-dimensional image data through the three-dimensional CT scanning of a rock sample before and after a CO2 mineralization storage experiment reaction, extracting a crack network as a topological structure center line skeleton, calculating the topological indexes of a network structure, and calculating the permeability enhancement effect of the network structure; a fracture network topological structure model constructed based on a graph theory is coupled with a discrete fracture network model for CO2 flow simulation, an equivalent permeability tensor is obtained, an improved Dijkstra shortest path algorithm is adopted, spatial distribution of CO2 seepage dominant channels is obtained, dominant channel characteristics before and after transformation are compared with the equivalent permeability tensor, the seepage enhancement effect is quantitatively evaluated, and the CO2 seepage enhancement effect is obtained. And changing injection conditions to perform multi-group simulation under different working conditions, calculating the seepage enhancement effect and the mineralization reaction rate under different injection conditions, establishing a quantitative evaluation model of the mineralization sealing permeation enhancement effect, and realizing sealing effect prediction and seepage enhancement effect evaluation.

The invention discloses a rock shear seepage coupling true triaxial test system, which relates to the technical field of rock mechanical tests, and comprises a host, a sigma 1 / sigma 2 direction loading module, a sigma 3 direction confining pressure module, a pressure chamber auxiliary system, a sample clamp, a pore water seepage system, a temperature system, a control module and a data acquisition and processing module, through servo closed-loop linkage double-pump loading in the sigma 1 / sigma 2 direction, synchronous output of the double pumps and coordination of pressure supply of the two oil cylinders by the controller, a strain correction algorithm is combined, stability of a stress loading center is guaranteed, strain measurement accuracy is improved, confining pressure is accurately controlled in the sigma 3 direction through a double-balance pressure chamber and a pressure regulation algorithm, and the stress measurement accuracy is improved. The pressure chamber is in full-automatic operation, manual steps are omitted, errors are reduced, efficiency is improved, a stress-free blank angle clamp eliminates friction interference, a seepage system supports a double-loading mode, a control module achieves multi-control-mode impact-free switching, a data processing module is combined with an elastic modulus calculation algorithm, rock mechanical parameters are accurately obtained, and the multi-field coupling test requirement is met.

The invention relates to a method and a device for determining the flow characteristic of CO2 in a porous medium and the distribution rule of CH4 in a pore space. The method comprises the following steps: (1) pretreating a sample; (2) system connection and air tightness inspection; (3) vacuumizing the system; (4) temperature control; (5) CH4 saturation and pressure stabilization; (6) displacement experiment and data acquisition; (7) monitoring outlet gas; and (8) data processing. The problem that in existing CO2 geological sequestration and enhanced gas production research, due to the fact that in-situ visualization of the pore size cannot be achieved, a microscopic displacement mechanism is unclear is solved, and the method aims at providing scientific basis and technical support for efficient exploitation of natural gas and effective geological sequestration of CO2.

The invention discloses a soil column porosity dynamic inversion system and method and a sensor array structure, and belongs to the technical field of environmental soil tests. The system comprises a test soil column system; the acoustic monitoring module is used for acquiring ultrasonic travel time and amplitude information in the soil column; the resistivity monitoring module is used for acquiring resistivity information in the soil column; and the data processing host receives data of the acoustic monitoring module and the resistivity monitoring module, executes a joint inversion algorithm based on a rock physical coupling model, and dynamically inverts spatial distribution and time evolution of the three-dimensional porosity in the soil column by constructing a target function containing ultrasonic travel time / amplitude data and resistivity data at the same time. According to the invention, real-time, three-dimensional, high-resolution and high-adaptability soil column internal structure monitoring can be realized, and solid data support is provided for environmental rock and soil pollution migration mechanism research and restoration effect evaluation.

The invention discloses a porous asphalt concrete gap blockage identification method based on pavement noise signals, and belongs to the technical field of asphalt concrete blockage identification, and the method comprises the following steps: S1, collecting tire-pavement contact original noise signal audio data, and carrying out the preprocessing; s2, carrying out pavement gap blockage degree sensitive correlation analysis, and extracting multi-dimensional acoustic features; s3, dividing a single-layer drainage asphalt pavement data set and a double-layer drainage asphalt pavement data set, and giving a blockage level label to obtain a marked data set; s4, constructing a deep residual neural network model, and performing training and verification to obtain a gap blockage degree identification model; and S5, identifying porous asphalt concrete gap blockage. According to the method, the accurate classification of the gap blockage degree is realized through the blockage recognition model based on the acoustic characteristics, the optimal cleaning and maintenance opportunity can be determined, a scientific decision basis is provided for the maintenance of the porous asphalt concrete pavement, and the pertinence and economy of the maintenance are improved.

The invention provides a geomembrane on-line leakage detection system and detection method, and relates to the technical field of geomembrane detection, the system comprises a signal monitoring module used for arranging a sensing detection network under a geomembrane in an array, carrying out on-line monitoring, and determining a real-time leakage signal of the geomembrane; the sensing and positioning module is used for executing compressed sensing and positioning based on sparse reconstruction according to a plurality of leakage points corresponding to the plurality of leakage signals, and identifying a source sensing matrix; and the leakage early warning module is used for carrying out leakage point early warning based on the source sensing matrix and carrying out leaked area early warning based on the plurality of leakage signals. The technical problems that in the prior art, geomembrane leakage is difficult to accurately recognize and position, response is not timely, and the anti-seepage safety and the management efficiency are reduced are solved. The technical effects of accurately positioning and early warning the leakage points in real time, effectively improving the sensitivity and response speed of geomembrane leakage detection, and improving the anti-seepage safety and management efficiency are achieved.

The invention provides a method and a system for predicting the durability of an underwater non-dispersible concrete structure, and relates to the technical field of material engineering. Respectively measuring an anti-permeability vector consisting of an unsteady state chloride ion migration coefficient, an anti-permeability grade and an oxygen permeation coefficient, a freezing resistance vector consisting of a mass loss rate and a dynamic elastic modulus retention rate, and a corrosion resistance vector consisting of a mass change rate in a sulfate environment, the dynamic elastic modulus retention rate and a corrosion rate in a carbonic acid environment; a fitting formula among impermeability, freezing resistance and corrosion resistance is constructed based on a known high-durability concrete sample, and by calculating the decoupling degree of each vector combination of the concrete sample relative to the high-durability concrete sample, multi-parameter collaborative evaluation and accurate prediction of the durability of the concrete structure are realized.

The application discloses a testing device and testing method for hydrogen isotope permeation parameters of fusion reactor application materials, relates to material testing technology in the hydrogen field, and belongs to the field of material testing technology in the hydrogen field. The testing device for hydrogen isotope permeation parameters of fusion reactor application materials comprises the following: a membrane sample is installed in a membrane testing cavity to divide the membrane testing cavity into a gas inlet sub-cavity and a permeation sub-cavity; a gas inlet tank is selectively communicated with the gas inlet sub-cavity to supply testing gas; a collecting tank is selectively communicated with the permeation sub-cavity to collect outflowing gas; a vacuum pumping structure is used for pumping the gas inlet sub-cavity and the permeation sub-cavity; a heating structure is used for heating the gas inlet sub-cavity and the permeation sub-cavity; a high-resolution mass spectrometer is selectively communicated with the permeation sub-cavity, and gas selectively flows into the high-resolution mass spectrometer. The testing device for hydrogen isotope permeation parameters of fusion reactor application materials can control the gas pressure and temperature in the two sub-cavities respectively, thereby accurately determining the hydrogen isotope permeation parameters of the materials, and the precision is high, and the data resolution is excellent.

The invention provides a tight sandstone gas reservoir formation water division method based on mercury intrusion and online nuclear magnetic resonance, and relates to the field of gas reservoir formation water production, and the method specifically comprises the following steps: obtaining a tight sandstone core standard rock sample; cutting the rock core into two sections, and performing a high-pressure mercury injection experiment on the first section of the rock core; and scanning the nuclear magnetic resonance signal T2 spectrum curve of the rock core in the completely saturated water state and the area of the nuclear magnetic resonance T2 spectrum curve. And carrying out gas drive and nuclear magnetic scanning experiments. And sequentially increasing the displacement pressure differences to obtain a nuclear magnetic resonance correction curve under different displacement pressure differences. And drawing a water saturation and displacement pressure difference relation curve, and defining the critical pressure difference of different types of formation water production according to the curve form and the slope change rule. And processing the data to obtain the formation water production rule of the tight sandstone gas reservoir in different states. According to the technical scheme, the problem that in the prior art, the critical output pressure difference and the dynamic output rule of various types of formation water in different pore diameter ranges cannot be quantitatively represented is solved.

The invention provides a mountain area tunnel leakage water intelligent positioning and processing method and system, and relates to the technical field of tunnel leakage water positioning, and the method comprises the steps: collecting leakage point data, carrying out the preprocessing, calculating the corresponding relation between a leakage point and a geologic structure, and determining the position of a leakage source; constructing a leakage point association diagram; topological features are extracted to divide levels, and a leakage water propagation direction is determined to construct a layered propagation graph; leakage channel distribution is determined, and the influence range is calculated for risk grading; and determining a construction sequence and a repair process according to the risk level. According to the invention, accurate positioning of the leakage source and accurate identification of the leakage channel are realized, and the repair efficiency is improved.