16347results about "Material strength using tensile/compressive forces" patented technology

The invention relates to the technical field of anti-cracking performance testing, in particular to an ultra-high performance concrete anti-cracking performance testing system and a dynamic monitoring method thereof.The system comprises a dynamic stress field simulation feedback module used for sensing three-dimensional distribution of a micro stress field in concrete in real time by constructing a flexible loading array to obtain dynamic stress field data; the multi-scale damage evolution tracking module is used for deploying a high-resolution acoustic emission network and a distributed optical fiber sensing layer based on dynamic stress field data of the flexible loading array to form a full-scale evolution graph from microdefects to macroscopic cracks; and the intelligent healing efficiency evaluation module obtains stress redistribution data and a full-scale evolution graph, and a repairing medium containing a tracer agent is injected into a preset crack path. According to the method, the whole process of crack resistance of the material from defect initiation to repair and regeneration can be quantitatively evaluated; and finally, outputting a dynamic evolution rule of the crack resistance and enhancing potential evaluation.

The invention discloses a wire drawing machine operation state evaluation method and system based on deep learning, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: deploying a multi-source sensor at a preset part of a wire drawing machine, and forming a multi-dimensional operation data flow; the deep learning evaluation model is trained based on the standardized time series data set, model parameters are optimized through a cross entropy loss function, the model learns the characteristic difference between a normal working condition and an abnormal working condition, and the deep learning evaluation model is trained based on the standardized time series data set. And inputting a multi-dimensional operation data flow collected in real time into the trained deep learning evaluation model to generate a dynamic evaluation report. According to the wire drawing machine operation state evaluation method and system based on deep learning provided by the invention, a visual operation state score can be output, detailed fault type probability distribution is given, and intelligent support is provided for equipment maintenance decision.

The invention discloses an automatic testing device and method for multi-directional tensile strength of textiles based on constant tension, and relates to the technical field of tensile strength detection.The automatic testing device comprises a rigid rack system, and a high-elastic fabric optical response mechanism is integrated on a double-stand-column portal frame of the rigid rack system; the fiber damage process is reflected through the light transmittance of light to the fabric and the light spot change; the high-elastic fabric optical response mechanism comprises a sealing light insulation assembly, a light source assembly and an imaging assembly. The light source assembly comprises pulse LED light source arrays arranged at equal intervals in the fabric stretching direction, a lampshade and a transverse movement driving unit. The problems that in the prior art, when the tensile strength of a fabric is detected, only the limit value when a sample is completely broken can be recorded, and microcracks generated by step-by-step failure of fibers in the stretching process cannot be captured are solved. The device has the advantages that when the tensile strength of the fabric is detected, the fiber fracture process in the fabric is directly reflected through the change of light spots formed by light penetrating through the fabric, and the like.

The invention discloses a coal fire area fracture active enhancement detection test system and method, and belongs to the technical field of mine safety and geophysical exploration, and the system comprises a fracture generation module which is used for simulating a heat-force-gas coupling condition of an underground coal fire area, and inducing a coal rock mass test piece to generate a fracture; the fracture detection module is used for synchronously acquiring multi-physics field data of the coal and rock mass test piece in real time; the fracture intervention module is used for injecting a natural medium simulant and an enhanced medium foam gel material into the fracture so as to simulate a real environment and enhance a detection signal; and the intelligent feedback and data fusion module is used for controlling operation parameters of each module, synchronously acquiring detection data, and performing fusion processing, intelligent inversion and four-dimensional visualization on the detection data to realize whole-process monitoring detection of fracture evolution. The invention provides a scientific method for precise delineation and targeted plugging treatment of hidden fractures in a coal fire area, and solves the problems of multiplicity of solution in traditional fracture detection and easy reburning in coal fire treatment.

An in-situ fretting corrosion fatigue testing machine based on synchrotron radiation diffraction and three-dimensional (3D) imaging includes an axial fatigue loading system, a fretting loading system, and a corrosion environment control system, where the axial fatigue loading system includes a driving device, a load control device, and a load sensing device; the load sensing device is configured to measure an axial force and a normal force in real time; the driving device is configured to drive the load control device, thereby achieving axial displacement of the load control device; the load control device is configured to carry out axial fatigue loading of a specimen; and the fretting loading system includes a fretting wear device. The testing machine achieves real-time 3D imaging characterization of wear spot and crack morphology of a material in a fretting corrosion environment, as well as characterization of a residual stress evolution law.

The invention relates to a concrete degradation simulation method and system under continuous load-chloride ion coupling, and solves the problems that systematic research on overall mechanical property degradation of a concrete structure under the load and chloride ion coupling effect is lacked, and the degradation condition of the concrete structure in an actual service environment is difficult to comprehensively reflect. The method comprises the following steps: applying a continuous load to a test block, preparing a solution according to a stress type to determine a chloride ion diffusion direction, applying an electric field to accelerate migration and maintain test stability, and after an experiment, measuring the penetration depth and calculating a diffusion coefficient; in the process, multi-dimensional data such as cracks and acoustic emission are collected and subjected to PCA dimension reduction and redundancy removal, then damage factors are inversed through deep learning modeling in combination with dual-stage optimization and physical constraint, and finally damage and chloride ion parameters are fused to form gradient parameters fitting actual degradation. The method has the following effects that the concrete degradation process is accurately simulated, a basis is provided for durability evaluation and life prediction, and the engineering safety and economy 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 belongs to the technical field of underground engineering, and discloses an omnibearing intelligent monitoring system, method and device for an underground anchoring pull-out test. According to the method, electromagnetic signals generated in the stress process of the anchor rod are captured in real time through an electromagnetic sensor, and internal stress changes and energy distribution are reflected; the deformation and stress states of the anchor rod in the dynamic environment are evaluated through a strain gauge and accelerometer combined data combination method, the deformation condition of the anchor rod is monitored through the strain gauge, and the stress-strain relation is recorded; an accelerometer is used for detecting the dynamic response of surrounding rock mass so as to evaluate the overall stability of the rock mass; a coupling medium is injected, the computer terminal stores the collected signals locally or in a cloud end and analyzes the signals, stress and deformation parameters in an anchor rod pull-out test are extracted, and an anchor rod stress cloud picture is generated in real time. According to the method, the safety and reliability of underground engineering are remarkably improved, and a new technical support is provided for evaluation of anchoring quality.

The invention provides a cooperative early warning method, system, equipment and medium for deformation stress of soft soil around a pile, and relates to the technical field of underground engineering, and the method comprises the steps that monitoring data of the soft soil around the pile are obtained based on monitoring points, and the monitoring points comprise pile body monitoring points and soil body monitoring points; feature extraction is conducted on the monitoring data, and monitoring indexes reflecting pile periphery soft soil deformation and stress evolution are obtained based on information contribution degree difference and sensitivity selection; performing model construction based on the monitoring data and the monitoring indexes, and obtaining a deformation-stress collaborative map of the soft soil around the pile by considering risk assessment and spatial heterogeneity; and on the basis of the deformation-stress collaborative atlas, abnormal recognition of the soft soil around the pile is carried out, an abnormal area is obtained through embedded learning and clustering analysis, graded early warning is carried out according to the abnormal area, and an early warning result of the soft soil around the pile is obtained. The problem that an existing early warning method for the soft soil around the pile lacks dynamic sensing and combined early warning in the pile-soil interaction process is solved.

The invention provides an intelligent detection method and system for the tensile property of a plastic cable tie. Gradient temperature rise control is executed through the carbon fiber heating tube array, microscopic deformation fluctuation characteristics are captured through the double-grating displacement sensor, and temperature field distribution is collected through the infrared thermal imager. Establishing dynamic correlation between deformation and a temperature field to generate a three-dimensional space-time atlas, identifying a migration path of a thermal aggregation area, recording a standard path, and calculating a thermal anomaly coefficient in combination with pressure data; analyzing temperature conduction hysteresis to generate a heat conduction parameter, and dynamically correcting a threshold value by cross-modal correlation with an abnormal coefficient; a structure degradation index is generated based on the migration path, mapping between the structure degradation index and a temperature field is established to generate a thermal damage compensation coefficient, an abnormal coefficient is calibrated accordingly, and grading early warning is triggered in combination with the path deviation degree. According to the technical scheme provided by the invention, multi-scale damage evaluation from thermodynamic associated data acquisition to molecular chain fracture inversion is realized, and the high-temperature tensile failure critical point is accurately pre-judged through a dynamic calibration early warning mechanism.

The invention discloses an egg quality detection system and method based on multi-sensor fusion, and relates to the technical field of multi-dimensional data process.The method comprises the steps that texture features are extracted from visible light images, and feature wavelengths are extracted from spectrums; pressure distribution and shell deformation in the pressing process are synchronously collected; recording a pressure-time curve and a deformation-time curve, extracting characteristic parameters, and constructing a three-dimensional dynamic model; performing wavelet transformation on the response curve of each sensor, extracting time-frequency domain characteristics, and generating a smell fingerprint spectrum; scanning the surface of the egg to excite resonance response, recording a sound pressure signal, and converting the sound pressure signal into frequency domain data through fast Fourier transform; and presetting a business rule, and generating a final decision by combining the model output with a rule matching result. The pressure feature extraction module, the smell feature extraction module and the crack degree quantification module are arranged to realize data depth association, and the quality inspection credibility is improved through an interpretable decision model.

The present disclosure relates to an apparatus and method for measuring an elastic modulus. The method of measuring an elastic modulus of a specimen including a conductive material and an insulating material with which a surface of the conductive material is coated includes a first bending test operation of applying a first load to a first surface of the specimen, a second bending test operation of applying a second load to a second surface that meets the first surface of the specimen, a first calculation operation of calculating a first bending elastic modulus of the specimen based on a first value measured in the first bending test operation, a second calculation operation of calculating a second bending elastic modulus of the specimen based on a second value measured in the second bending test operation, and a third calculation operation of calculating an elastic modulus of the conductive material and an elastic modulus of the insulating material based on the calculated first bending elastic modulus and the calculated second bending elastic modulus.

The invention provides a coaxial unequal force-based gas-containing coal and rock mass true triaxial indoor test method, which comprises the following steps of: preparing a sample, injecting CH4 into a confining pressure cavity, synchronously starting an acoustic emission device and a binocular miniature high-speed camera, and testing the gas-containing coal and rock mass true triaxial indoor test. Acoustic emission monitoring software and DIC analysis software are used for recording acoustic emission and strain field evolution data, stiffness loading systems in the sigma 1, sigma 2, sigma 3 + and sigma 3-directions are controlled through a controller and a servo valve, confining pressure is loaded in a force control loading mode, and sample data are processed and analyzed; according to the invention, the condition of unequal coaxial stress load in the free face direction in the mining process of an underground working face can be simulated, and the actual condition of a mine can be better reflected; a video probe side pressing plate is arranged, and a binocular miniature high-speed camera is embedded into the clamp, so that the structural change of a test surface in the loading process can be recorded in real time, three-way surface strain field dynamic monitoring is realized, and the change conditions of a crack field and a strain field of a coal sample under the gas-containing condition are better reflected.

The invention discloses a shield segment multi-dimensional mechanical property test platform, which comprises an outer frame, a vertical loading system, an annular external loading system, an inner frame, an annular internal loading system, a torsion loading system and a plurality of displacement sensors, and is characterized in that the inner frame and the outer frame are respectively arranged on the inner side and the outer side of a segment; the inner frame and the outer frame are connected through a connecting plate, the vertical loading system is arranged at the top of the outer frame, and the loading end of the vertical loading system telescopically abuts against the top of the outer side of the segment; the annular loading system is arranged on the outer frame, and a plurality of loading ends of the annular loading system are telescopically propped against the outer sides of the duct pieces respectively; the annular inner loading system is arranged between the inner side of the duct piece and the outer side of the inner frame; loading ends of the torsion loading system are respectively arranged on two sides of the duct piece; and the plurality of displacement sensors are sequentially arranged on the duct piece. According to the invention, through combination of different loading systems, the mechanical properties of the duct piece in a complex environment can be simulated.

The invention relates to the technical field of data processing, in particular to a corrugated board strength detection method for corrugated packaging box production, which comprises the following steps: acquiring water content data, actual edge pressure strength and predicted edge pressure strength of a corrugated board under different environment humidity; a prediction error is obtained according to the difference between the actual edge pressure strength and the predicted edge pressure strength in the corrugated board production process, and the environment humidity is screened to obtain the environment humidity to be analyzed; according to the change relation of the water content data along with the environmental humidity, and in combination with the incidence relation of the pressure on the corrugated board and the deformation of the corrugated board, obtaining the influence degree of the corrugated board under each to-be-analyzed environmental humidity; according to the incidence relation between the environment humidity and the prediction error, the predicted edge pressure strength is corrected in combination with the affected degree, and online strength detection of the corrugated board is achieved. According to the method, the adaptability of the online strength detection operation of the corrugated board to the actual working condition is enhanced, and the overall prediction precision is improved.

A while-drilling multi-element signal sensing and early warning method for coal rock dynamic disasters comprises the steps that in the early stage of coal seam recovery, bedding gas extraction drilling is utilized, while-drilling signals generated in the drilling period of each drill rod are collected in real time through a multi-parameter sensing system integrated with a drilling machine, and while-drilling data are obtained based on the while-drilling signals; constructing a mechanical parameter inversion model, and calculating the compressive strength of the coal rock mass; a gas parameter inversion model is constructed, and gas pressure and coal rock mass permeability are obtained through decoupling; according to the method, coal rock mass compressive strength, gas pressure and coal rock mass permeability are used as core indexes, a spatial interpolation method is adopted to realize continuous representation of disaster risk distribution of a whole area, and a comprehensive risk index is established accordingly; and according to the value range of the comprehensive risk index, further quantifying the risk level of the coal and rock mass dynamic disaster based on the comprehensive risk index. According to the method, real-time sensing, accurate inversion and active prevention and control of coal rock dynamic disasters can be realized, and the problems of low detection accuracy, poor real-time performance, insufficient overall performance and the like in the traditional technology can be effectively solved.

The invention provides a method and a device for evaluating and measuring microscopic mechanical properties of TC4 alloy, relates to the technical field of microscopic mechanical properties, and realizes accurate evaluation of material properties through combination of multi-scale characterization and numerical simulation. Firstly, a standard sample is prepared through selective laser melting, and residual stress field distribution is obtained through X-ray diffraction; dividing a stress field into sub-regions, and establishing a quantitative relationship between microscopic structure parameters and residual stress by combining SEM and EBSD analysis; the method comprises the following steps: acquiring local mechanical properties through a nanoindentation test, and constructing a stress-performance correlation model; and finally, establishing a finite element model, transmitting stress and tissue parameters by adopting trilinear interpolation and an inverse distance weighting method, verifying data reliability through a stress difference criterion, and calculating mechanical properties of each unit. According to the method, multi-scale correlation from microstructure characteristics to macroscopic mechanical properties is innovatively realized, so that the mechanical property distribution of the material is accurately evaluated.

The invention provides a coal impact tendency evaluation method which comprises the following steps: sampling a coal rock material on an engineering site, and processing the sample into a coal rock test piece with a preset size and a preset shape; carrying out a uniaxial compression experiment on the coal rock test piece, and recording a motion image of an ejection body on the coal rock test piece in the loading process of the coal rock test piece; comparing cosine similarities among the plurality of images in the moving images, and determining the image with the maximum damage degree according to the cosine similarities; analyzing gray level distribution of the image with the maximum damage degree to obtain a gray level histogram; identifying particle information of the broken particles in the image with the maximum damage degree; representing the damage degree of the coal rock material by using the particle information of the crushed particles; and evaluating the coal impact tendency by using the damage degree of the coal rock material. According to the evaluation method for the coal impact tendency disclosed by the invention, a new coal impact tendency evaluation index is provided, the research on the damage process of the coal rock material is perfected, and basic parameters are provided for subsequent early warning of damage of the coal rock material.

The invention belongs to the technical field of civil engineering, and discloses and relates to an open pit coal mine slope multi-physical field action large-scale simulation platform which is used for simulating slope stability tests under various working conditions. Comprising a base, a plurality of box bodies are arranged in the middle of the base from left to right, and a first foundation pit and a second foundation pit are arranged at the bottom of each box body; the base is provided with a box rotating shaft located between the first foundation pit and the second foundation pit. A plurality of lateral overturning oil cylinders are arranged in the first foundation pit; the bottom of the front end of each box body is hinged to the tops of at least two lateral overturning oil cylinders, and the middle of each box body is connected with a rotating shaft fixed to the base. Wherein one box body comprises a forward overturning oil cylinder, a forward overturning base and a forward overturning box body; and the forward overturning oil cylinder is used for driving the forward overturning box body to overturn towards the adjacent box body. The device can realize loading of the open pit coal mine slope under various working conditions, and is reasonable in structure, convenient to operate and high in test precision.

The invention belongs to the technical field of industrial control, and discloses a tab cracking early warning system and method. The system comprises an upper computer, control equipment and a reference part, the control equipment is used for controlling the processing station to process the reference part and recording working parameters of the control equipment; and the upper computer is used for screening the tension data, determining a tension abnormal point and determining an early warning result according to the working parameters of the control equipment and the tension abnormal point. By simulating the actual machining condition of a product, problems in the machining process are found from the visual angle of the product, tension data generated on the product in the production process are read, the tension data in the production process are monitored, and whether the tension exceeds the limit or not is judged. And whether the product cracking risk exists in the production process is judged, so that the accuracy and comprehensiveness of cracking risk detection are improved.

The invention discloses a compressed air energy storage indoor simulation test device and method, and relates to the technical field of compressed air energy storage. The device comprises a triaxial pressure servo control system, a temperature control system, an air pressure control system and a multi-parameter measurement system, and can cooperatively simulate the real working environment of the underground gas storage. The triaxial system comprises a high-pressure tank body and a loading device and is used for applying triaxial stress to the rock sample; the temperature control system adjusts the temperature of the rock sample; the air pressure system comprises a high-pressure destructive experiment mode and a low-pressure precise simulation mode, the high-pressure destructive experiment mode is used for carrying out a high-pressure test and verifying the critical burial depth under different geological conditions, and the low-pressure precise simulation mode is used for researching the mechanical behavior, the damage mechanism and the leakage mechanism of the gas storage by regulating and controlling the air pressure and the flow and simulating the inflation and deflation process; the multi-parameter measurement system collects rock sample physical response data in real time. Through cooperative work of multiple systems, response characteristics of multiple support sealing systems under different conditions can be accurately reflected, and the system has remarkable simulation precision, experiment efficiency and cost advantages.

The invention provides an intelligent detection method for surface defects of a protective film based on machine vision, which comprises the following steps of: extracting stress concentration areas and touch signal attenuation characteristics from potential risks of touch response delay, and performing grouping analysis on the stress concentration areas and the touch signal attenuation characteristics, the combined attenuation trend of the optical transmittance and the touch signal attenuation is obtained; the deformation degree of the stress concentration area is recognized, the touch signal attenuation degree of the folding area is determined according to the combined attenuation trend of the optical transmittance and touch signal attenuation, and the durability of the folding screen is obtained through evaluation; and extracting early warning indexes about the screen curvature radius and the light scattering intensity defect from the attenuation trend prediction result, and generating a complete report containing the optical transmittance and the touch signal attenuation defect.

The invention discloses a battery diaphragm tensile strength detection device, and relates to the technical field of battery diaphragm tensile strength detection, the battery diaphragm tensile strength detection device comprises a workbench and a support frame, one side of the workbench and the support frame is provided with a clamping and fixing linkage mechanism, and a detection position adjusting mechanism is arranged between the workbench and the support frame. According to the battery diaphragm tensile strength detection device, by arranging the clamping and fixing linkage mechanism and the multifunctional driving mechanism, synchronous clamping and fixing of two battery diaphragms are achieved, tensile strength detection can be conducted on two rolls of diaphragms at the same time, the detection efficiency is doubled, in addition, clamping plates are automatically clamped through gear and rack linkage, manual operation is not needed, and the detection efficiency is improved. The problems that an existing device can only detect the tensile strength of a whole roll of battery diaphragms each time, the detection efficiency is reduced, manual operation of workers is needed when the battery diaphragms are clamped and fixed, and the labor intensity of the workers is increased are solved.

The invention discloses a cement stabilized macadam mechanical property analysis method based on maximum aggregate nominal particle size, and relates to the technical field of cement stabilized macadam mechanical property analysis, the method comprises the following steps: preparing skeleton dense type cement stabilized macadam test pieces with different nominal maximum particle sizes; carrying out a macroscopic mechanical test to obtain a stress-strain curve and a crushing value; establishing a three-dimensional discrete element numerical model corresponding to the test piece, performing uniaxial compression simulation, and ensuring the reliability through model verification; and based on the verified model, quantitatively analyzing the contact force distribution, the contact quantity characteristic and the microcrack evolution law from the microscopic level. According to the analysis method disclosed by the invention, a mechanism that the nominal maximum particle size improves the macroscopic performance of the material by regulating and controlling an internal force chain network and inhibiting damage accumulation is disclosed through a macro-micro combination means, and a scientific micro-mechanical basis and a quantitative analysis tool are provided for grading optimization and high-performance design of the cement stabilized macadam base.

The invention relates to the technical field of hydraulic test of nickel alloy pipes, and discloses a hydraulic test system for a thin-wall nickel alloy pipe. According to the system, in the axial loading state of the thin-wall nickel alloy pipe, a closed water pressure cavity is established through an annular sealing clamp, and then strain distribution data on the surface of the pipe body is collected through a distributed optical fiber sensor array. And constructing a three-dimensional stress field reconstruction model based on the acquired strain distribution data, calculating an equivalent plastic deformation threshold value of the pipe body under different water pressure gradients, adjusting a water pressure loading curve slope parameter according to the equivalent plastic deformation threshold value, and generating a dynamic water pressure loading instruction. And the high-frequency pressure pulse generator executes the instruction, synchronously triggers the X-ray diffractometer to collect lattice distortion data of the tube body, inputs the data into the material microscopic damage evolution model, and outputs a microscopic defect spatial distribution map. And finally, material constitutive parameters of the three-dimensional stress field reconstruction model are corrected based on the atlas, closed-loop feedback control is formed, and multi-dimensional data acquisition and accurate management and control of the thin-wall nickel alloy pipe hydrostatic test are achieved.

The invention discloses an intelligent identification method for a rock tension-shear rupture mechanism based on acoustic emission RA-AF parameters, and belongs to the technical field of intelligent identification. The method comprises the following steps: carrying out indirect tension test and variable-angle shear test on rock, acquiring RA-AF data of the rock under tension and shear loads by adopting an acoustic emission technology, and respectively constructing RA-AF standard databases corresponding to tension and shear fracture mechanisms based on a DBSCAN clustering algorithm; wherein 4 / 5 is used as training set data, and 1 / 5 is used as test set data. A probabilistic neural network is used for learning RA-AF data feature information of a pulling and shearing fracture mechanism, an intelligent classification model of the pulling and shearing fracture mechanism is established, the accuracy rate of the model is detected, and the model which reaches the detection standard through adjustment is applied to quantitative recognition of the fracture mechanism of the same rock under different static loads. According to the method, the data processing workload of workers can be reduced, and the classification efficiency is improved.

The invention discloses a highway bridge expansion joint compression test device, and belongs to the field of expansion joint test devices.The highway bridge expansion joint compression test device comprises a test bed, two sliding rails are symmetrically fixed to the top of the test bed, two limiting mechanisms symmetrically slide on the sliding rails, and an L-shaped supporting seat is fixed to the middle of the back face of the test bed; a hydraulic cylinder is installed in the middle of the top of the L-shaped supporting seat, the output end of the hydraulic cylinder extends to the position over the test bed and is fixedly provided with a pressure testing mechanism, the pressure testing mechanism comprises a fixing plate, the fixing plate is fixedly connected with the output end of the hydraulic cylinder, and three sets of hollow-square-shaped pressing frames are fixed to the bottom face of the fixing plate at equal intervals; the connecting plates are arranged between the two adjacent hollow-square-shaped pressing frames; the fixed frame is fixedly connected to one end of the bottom of the connecting plate. According to the invention, under the stable pressure, the condition that the vehicle performs rolling test on the expansion joint under different conditions is simulated, so that the accuracy of testing the compression resistance of the expansion joint is improved.

The invention relates to the field of concrete-filled steel tube structure mechanical property tests, in particular to a concrete-filled steel tube arch rib member long-term load and corrosion intelligent test device and method. The test device comprises: a corrosion tank covering the outside of a concrete-filled steel tube arch rib test piece and capable of being filled with or sprayed with a corrosive liquid; the load applying device comprises a plurality of load applying units, and each unit is used for applying long-term load to the concrete-filled steel tube arch rib test piece; the load applying unit comprises a screw rod, a nut, a loading end plate, a loading block and a force transmission block; the loading block penetrates through the corrosion tank and is tightly attached to the test piece, the force transmission block is located below the loading block and is tightly attached to the corrosion tank, and the multiple screws penetrate through the corrosion tank, so that the loading block can apply force to the concrete filled steel tube arch rib test piece; the sensor feeds back data to the data acquisition terminal in real time for processing, and the corrosion process is accurately controlled. According to the invention, the stress characteristics of the concrete-filled steel tube arch bridge under long-term load and corrosion effects can be simulated based on an intelligent technology.

A system, method, and process for direct, precise measurement of extension / strain of a metallic round or flat tensile specimen or measurement of crack growth rates on a metallic CT specimen under control forces of extreme temperature, pressure and adverse environment are applied to a pre-crack metallic specimen within an autoclave.

The invention provides an intelligent pressure fluctuation detection and regulation system for a building curtain wall, relates to the technical field of intelligent control and wind pressure regulation, and integrates five modules of data acquisition, credibility evaluation, dynamic wind pressure prediction, cooperative regulation and fault-tolerant guarantee to construct a high-precision wind pressure sensing and closed-loop control system. Rejecting failure nodes by evaluating the credibility of real-time data; a wind pressure trend is predicted based on an LSTM model in combination with a typhoon path, a current prediction error parameter Epr is calculated, and an error threshold E is dynamically compared to guarantee prediction reliability; a multi-objective optimization function is adopted to balance related parameters, a regulation and control instruction set is generated, and millisecond-level response and emergency switching are supported; the reconstruction module utilizes Dk1 (t), Dk2 (t) and Drec (t) to repair missing data, and a standby mechanism is started to guarantee continuous operation when necessary; meanwhile, a regulation and control instruction is dynamically and finely adjusted and closed-loop optimization is And the robustness, the response precision and the regulation and control stability of the system in high-humidity and strong-typhoon environments are remarkably improved.