2364results about "Investigating material hardness" patented technology

The invention discloses a health assessment method for a long-distance underground culvert structure, and the method comprises the steps: carrying out the fusion processing based on acoustic and optical detection data, so as to recognize a structure defect; based on underwater rebound and coring test data, carrying out underwater-dry conversion and correction on a strength value, and determining corrected structural strength and material degradation parameters; in combination with defect, degradation and historical monitoring data, carrying out structure evolution modeling and mutation risk identification to obtain evolution characteristics and mutation risks of the structure; and integrating the corrected structural strength, evolution characteristics and abrupt change risks, performing full-field state assessment, and generating a structural health assessment and risk early warning result. According to the method, accurate, dynamic and full-field evaluation of the health state of the culvert can be realized, and the reliability and early warning capability of an evaluation result are improved.

The invention relates to the technical field of livestock breeding, in particular to a cow manure automatic scoring system and method.The cow manure automatic scoring system comprises an image acquisition unit, a physical property sensor, a chemical component detection module and a data processing unit.The image acquisition unit is used for capturing the form, color and fiber residue of manure; the physical property sensor is used for measuring the water content of excrement and evaluating the viscosity and hardness of the excrement; the chemical component detection module comprises a near infrared spectrum analysis unit and an electrochemical sensor unit; and the data processing unit is used for integrating an AI algorithm, realizing multi-source data fusion and scoring, and uploading the data to the cloud management platform through the communication module. Therefore, the problems that in the prior art, manual scoring is subjective, low in efficiency and difficult to quantify, diseases are difficult to find early due to the lack of rapid component detection means, and accurate nutrition regulation and control are difficult to achieve due to the fact that scoring data are difficult to integrate into a breeding system are solved.

The invention relates to the technical field of concrete testing, in particular to a concrete testing method which comprises the following steps: manufacturing a plurality of groups of standard-size concrete test pieces according to a preset concrete mix proportion, and respectively placing the standard-size concrete test pieces under a simulated curing condition and a standard curing condition for curing in a preset curing period to form a first test group and a first control group; based on a plurality of detection points, carrying out a rebound test and an ultrasonic test on the concrete test pieces in the first test group, and determining a high-frequency ultrasonic section to determine an ultrasonic attenuation coefficient of a single concrete test piece, according to the ultrasonic propagation speed, the ultrasonic attenuation coefficient and the detection rebound value, constructing a concrete strength-based correction model to obtain the comprehensive compressive strength of the concrete test pieces in the first test group, and determining the standard compressive strength corresponding to the concrete test pieces in the first control group, and determining an initial influence coefficient of the simulated maintenance condition according to the comprehensive compressive strength and the standard compressive strength. The compressive strength of the concrete structure is effectively tested.

The invention discloses a cross-scale rock elastic mechanical parameter measurement method and system, and relates to the technical field of rock measurement, and the method comprises the following steps: obtaining nano-scale rock elastic mechanical parameters and micro elastic-plastic deformation of rock through a nanoindentation experiment, so as to construct a molecular dynamics model of the rock; according to the molecular dynamics model of the rock, using an inclusion homogenization theory to upgrade the rock elastic mechanics parameters of the nanoscale to the rock elastic mechanics parameters of the centimeter scale, so as to construct a rock elastic mechanics parameter conversion model, and using environmental data in an in-situ environment for correction; and inputting the nano-scale rock elastic mechanical parameters into the corrected rock elastic mechanical parameter conversion model to obtain centimeter-scale rock elastic mechanical parameters. According to the invention, centimeter-scale rock elastic mechanical parameters in a deep stratum in-situ environment can be accurately measured.

The invention provides a titanium plate performance analysis method and system, and relates to the technical field of metal material detection.The method comprises the steps that an optical scanner is adopted to establish a three-dimensional structure on the surface of a titanium plate, and test areas are divided; synchronously acquiring stress, hardness and conductivity data of a test point by using a multi-probe collaborative detection device; constructing a dual-branch feature extraction network, wherein the dual-branch feature extraction network comprises a surface topography feature branch and a physical feature branch; performing statistical integration on the features in the test area, calculating distribution features and determining a weight coefficient; and generating a performance analysis result through feature fusion and a multi-task output layer, and finally determining the performance grade of the titanium plate. According to the method, deep fusion of morphology information and physical characteristics is realized, and the accuracy and reliability of titanium plate performance evaluation are improved.

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 present invention relates to an in-situ micro-nano impact indentation testing instrument, falling within the technical field of material micromechanical testing. The instrument comprises a nitrogen generation module, an environmental chamber, a high / low temperature loading module, an “optical-infrared” in-situ monitoring module, an “electromagnetic-piezoelectric” coupling impact module, etc. After the nitrogen is introduced into the environmental chamber and the test area is determined by microscopic imaging, the “electromagnetic-piezoelectric” coupling impact module can drive an indenter to indent a specimen. An acoustic emission sensor embedded in the high / low temperature loading module can monitor the surface crack propagation of the specimen. The “optical-infrared” in-situ monitoring module can perform real-time high-speed optical imaging and infrared imaging on the impact indentation process. The present invention can perform micro-nano impact indentation testing on the material at high or low temperatures.

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 provides an ultrasonic rebound comprehensive detection method and system for bridge pier column concrete strength, and relates to the technical field of structure nondestructive testing, and the method comprises the following steps: obtaining ultrasonic propagation velocity data of a to-be-detected part of a bridge pier column; obtaining springback value data of a to-be-detected part of the bridge pier column; performing coupling processing on the ultrasonic propagation speed data and the rebound value data, and determining the concrete strength of the to-be-detected part by combining the pouring bedding direction of the bridge pier column concrete and the strength increasing coefficient corresponding to the curing age. And the accuracy and the stability of bridge pier column concrete strength detection are obviously improved.

The invention provides a constructional engineering concrete compressive strength detection method and system.The method comprises the steps that multi-modal information of a to-be-detected concrete member for constructional engineering is collected, and the multi-modal information comprises rebound data, ultrasonic data, resistivity data and temperature data; constructing a hybrid prediction model; and outputting compressive strength data according to the mixed prediction model, and visually displaying the compressive strength data. According to the method and the system for detecting the compressive strength of the constructional engineering concrete, disclosed by the invention, multi-modal information such as ultrasonic, rebound, resistivity and temperature of the to-be-detected concrete member is input into the mixed prediction model for compressive strength prediction, and the model can be used for more accurately processing nonlinear and high-dimensional characteristics in data; a transfer learning mechanism is introduced, so that the model adapts to changes of different regions and materials under limited training data, and the generalization ability and accuracy of prediction are improved. And the compressive strength data is visually displayed, so that the analysis efficiency of engineers is improved.

The invention discloses a novel concrete pavement hardness detection device, and belongs to the technical field of detection. The invention discloses a novel concrete pavement hardness detection device, and belongs to the technical field of road engineering detection. The device comprises a springback tester, an ultrasonic tester and an analysis system, and equipment credibility parameters are generated through a springback confidence model (quantitative impact energy / angular deviation) and an ultrasonic confidence model (quantitative frequency / probe centering error); combining a pavement characteristic model (analyzing water content / temperature / steel bar density) to output an environment adaptation coefficient; further dynamically calculating a springback risk coefficient and an ultrasonic risk coefficient based on a risk model (fused vibration / carbonization depth); and finally, outputting a calibration intensity value through the intensity correction model. The method solves the defects of weak anti-interference capability and insufficient precision of a traditional method, effectively improves the detection efficiency, and is suitable for high-precision scenes such as expressways and airport runways.

The invention relates to the technical field of intelligent detection, and discloses a building quality evaluation method and system based on concrete nondestructive testing and a storage medium. The method comprises the steps that a piezoelectric ceramic sensor array is arranged to collect micro-vibration response signals, and an original vibration data set is obtained; extracting an energy distribution coefficient of each frequency band by using a wavelet packet decomposition algorithm, and constructing a damage feature vector matrix; establishing a physical constraint neural network model, and outputting a damage variable time sequence; fusing the damage variable with ultrasonic and rebound data, and calculating comprehensive strength and damage degree indexes; and calculating the remaining service life by using a time sequence prediction algorithm, and generating an evaluation report. According to the method, the technical problem that the existing concrete nondestructive testing technology cannot realize microstructure damage evolution dynamic monitoring and residual life prediction is solved, and the accuracy of building quality evaluation and the scientificity of predictive maintenance decision are improved.

The invention relates to a soil detection system and a detection method. Soil detection equipment comprises a sampling module, a positioning module for generating original point sampling coordinates, a sample treatment module for chemical, electrochemical and biological treatment means, a detection module, a detection database, a detection control module, a generating and sending module and a sending and receiving module. The detection method comprises the steps of sampling and processing, binding coordinates, comparing abnormal data through preliminary detection, generating a pollution map, carrying out secondary detection on abnormal data, calculating a spatial uncertainty index, dynamically generating a near-origin secondary sampling coordinate, circularly sampling and detecting until the index reaches the standard or the density upper limit, and finally generating the pollution map and a prediction model. And the detection database is updated and optimized through machine learning.

The invention relates to the technical field of titanium alloy detection, and discloses a titanium alloy wire performance detection method, equipment and system. The method comprises the following steps: acquiring real-time force value displacement data of a tensile test and echo signal data of ultrasonic detection, and processing to obtain smooth force value displacement data and spectrum characteristic parameters; performing feature layer fusion on the yield strength, the tensile strength, the peak frequency and the amplitude attenuation rate to construct a first multi-dimensional feature matrix; inputting a pre-trained deep belief network model, and predicting mechanical properties such as elongation and hardness value; and comparing with a preset threshold value, marking unqualified items and generating a detection report. According to the method, through multi-source data fusion and advanced algorithm processing, the comprehensiveness and accuracy of detection are improved, efficient evaluation of the performance of the titanium alloy wire is achieved, and the method is suitable for the strict detection requirements for the quality of the titanium alloy wire in the fields of aerospace, medical instruments and the like.

The application relates to the field of concrete testing, in particular to a concrete seamless floor strength testing device and an operating method thereof. The concrete seamless floor strength testing device comprises a mounting frame, a moving driving part one, a connecting table one and a dynamic rebound apparatus; the upper end of the mounting frame is provided with the moving driving part one; the driving end of the moving driving part one is provided with the connecting table one, and the moving driving part one controls the up-down movement of the connecting table one; three dynamic rebound apparatuses are arranged on the connecting table one; the device further comprises a moving driving part two, a connecting table two and a cylinder; the connecting table one is provided with the moving driving part two; the driving end of the moving driving part two is provided with the connecting table two; three cylinders are arranged on the connecting table two; three groups of concrete seamless floor strength data are collected by the three dynamic rebound apparatuses for parallel comparison, so that the error is reduced, and the test area of the dynamic rebound apparatus is protected by the cylinder.

The invention relates to the technical field of automatic acquisition, in particular to an automatic riverbed material acquisition control system and method based on Beidou navigation. The method comprises the following steps: acquiring a Beidou satellite multi-dimensional data set; performing original data preprocessing on the Beidou satellite multi-dimensional data set to obtain a Beidou multi-dimensional standard data set; performing multi-source data fusion based on the Beidou multi-dimensional standard data set to obtain riverbed multi-source fusion data; generating a riverbed sampling decision by using the riverbed multi-source fusion data; therefore, through comprehensive application of multi-source data fusion, path optimization and automatic data evaluation, the problems of incomplete data, unreasonable sampling path and low report generation efficiency in the traditional riverbed data sampling process are solved, and the riverbed data acquisition precision, efficiency and intelligent level are improved.

The invention specifically relates to the technical field of digital twinning, and discloses a seamless steel tube size parameter detection and deviation correction system based on digital twinning, which comprises a multi-dimensional data acquisition module, a digital twinning model construction module, a deviation quantitative evaluation module, a correction scheme generation module, a correction scheme iteration module and a knowledge model optimization module, a real-time transmission mechanism of data acquisition-deviation analysis-correction decision is constructed, full-dimensional parameters of the seamless steel pipe are acquired in real time through a multi-dimensional data acquisition module, a digital model of the steel pipe is synchronously input, and a quantitative model driven by full-process data is constructed, so that the full-dimensional parameters of the seamless steel pipe are obtained. The size deviation degree and the surface quality score are accurately calculated through a deviation quantitative evaluation model, comprehensive deviation grades are divided, an initial correction scheme is generated based on deviation types and grades, parameters are quantified and adjusted through an iterative optimization correction scheme, an iterative correction-case precipitation-model optimization closed-loop structure is constructed, continuous evolution of the system is achieved, and the system quality is improved. The production efficiency is 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 relates to the technical field of metal fatigue life prediction, in particular to an additive manufacturing metal multi-axis high-cycle fatigue life prediction method based on defect characteristics. The method comprises the following steps: performing defect detection on a metal sample to obtain size parameters and position parameters of defects in the metal sample; determining the type of the defect in the metal sample and setting a first correction factor and a second correction factor; calculating the equivalent stress strength factor amplitude of the metal sample under multi-axial loading; acquiring a long crack propagation threshold value of the metal sample; normalizing the position parameters to obtain normalized position parameters; and establishing a fatigue life prediction model of the metal sample according to the normalized position parameters, the equivalent stress strength factor amplitude of the metal sample under multi-axial loading and the long crack propagation threshold value of the metal sample, and calculating the multi-axial high-cycle fatigue life of the metal sample. According to the method, the fatigue life of the metal material containing the additive manufacturing defects under multi-axis high-cycle fatigue loading can be accurately predicted.

The invention provides a structural engineering bearing capacity field detection method, and belongs to the technical field of structural engineering detection.The structural engineering bearing capacity field detection method comprises the steps that a multi-axial acceleration sensor and a strain gauge array are installed on the surface of a to-be-detected structural member, and an intelligent loading device is adopted to apply incremental loads; a mobile data acquisition terminal is utilized to acquire vibration response data and strain response data in real time, modal parameters are extracted based on a frequency domain analysis method to establish a load-modal parameter relation curve, the bearing capacity of a component is analyzed and calculated, a graph theory shortest path algorithm is adopted to optimize load transmission path analysis, and the load transmission path analysis is optimized. The bearing performance of the component is accurately evaluated through the structural response prediction model based on the Transform architecture, the technical integration of multi-dimensional detection data fusion, intelligent loading control, quantitative bearing capacity evaluation and accurate performance prediction is realized, and the technical problem of insufficient detection precision of the bearing capacity of the structural component is solved.

The invention discloses a method for predicting long-term creep of cement paste based on dielectric constants, which comprises the following steps of: finding out a relationship between a dielectric constant real part and a long-term creep modulus of the cement paste, firstly measuring the dielectric constant real part and the creep modulus, fitting to construct a corresponding function relational expression, verifying the constructed function expression, and finally predicting the long-term creep of the cement paste based on the dielectric constants. After the accuracy is verified, the method is applied to the long-term creep prediction of the cement paste. According to the method, the function relational expression related to the dielectric constant real part and the long-term creep modulus of the cement paste is established, the function relational expression can accurately predict the long-term creep of the cement paste, the corresponding creep modulus is obtained, and the precision of the prediction result can effectively meet the construction requirement; the whole prediction process is simple and easy to operate, the prediction precision of the long-term creep of the cement paste is greatly improved, the creep deformation of a stressed component of a building structure in a long-term stressed state can be controllably monitored, and then safe operation of an engineering structure is guaranteed.

The invention relates to the technical field of nondestructive testing, in particular to an ultrasonic phased array-based PE (Poly Ethylene) hot-melt joint nondestructive testing method and system, which comprises the following steps: acquiring material parameters in real time, establishing an anisotropic finite element model, dynamically compensating a sound wave path, spirally scanning a detection area, fusing and analyzing defect characteristics, optimizing three-dimensional imaging and the like. The system comprises an ultrasonic phased array probe array, a dynamic compensation controller, a six-axis mechanical arm and an imaging optimization engine. The invention solves or at least alleviates the problem of insufficient detection precision caused by non-uniform material anisotropy, dynamic density gradient and elastic modulus distribution in the nondestructive detection of the PE hot-melting joint in the traditional ultrasonic detection method, and provides the nondestructive detection method and system for the PE hot-melting joint based on the ultrasonic phased array.

The invention relates to the technical field of building material detection, and discloses an automatic experimental device for building material detection, which comprises a conveyor belt support, the upper surface of the conveyor belt support is fixedly connected with a fixed support I, the conveyor belt is arranged in the conveyor belt support, the fixed support I is internally fixedly connected with an air cylinder, and the air cylinder is fixedly connected with a fixed support II. And the output end of the air cylinder is fixedly connected with a pressing plate, the two sides of the interior of the pressing plate are rotationally connected with second connecting rods, and one end of each second connecting rod is slidably connected with a pushing rod. Through cooperative operation of components such as an air cylinder, a pressing plate, a second connecting rod and a pushing rod, building materials placed on the conveying belt can be automatically clamped, fixed and positioned to the middle of the conveying belt, and compared with a traditional manual positioning mode, the automatic positioning structure remarkably improves the accuracy and stability of positioning of the building materials; detection result errors caused by material position deviation are avoided, and a solid foundation is laid for subsequent detection.

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 provides a safety toe cap compression resistance detection device with a protection function, and belongs to the field of toe cap detection. The knocking assembly comprises a first shaft rod, a cradle and a knocking hammer, two first side plates are fixedly arranged on the workbench, the first shaft rod penetrates through the two first side plates to be rotationally connected, the first shaft rod penetrates through the cradle to be movably arranged, the knocking hammer is arranged at one end of the cradle, and a driving assembly is arranged on the workbench; the driving assembly is used for driving the cradle to swing. According to the invention, multi-dimensional detection of toe cap impact resistance, multi-strength puncture, side surface compression resistance and the like is integrally realized, the detection efficiency and precision are remarkably improved, and the protection performance evaluation requirements of the safety shoes under complex working conditions are met.

The present disclosure provides a prediction method of electrochemical and mechanical performances of a Solid Oxide Fuel Cell (SOFC) in a cold-hot cycle, and belongs to the technical field of SOFCs. In the present disclosure, a cold-hot cycle test is performed on SOFC pile, a polarization curve and an electrochemical impedance spectroscopy are measured by an electrochemical workstation, and contributions of different electrode reaction processes to voltage attenuation are analyzed quantitatively; the mechanical performance (bending strength, elastic modulus and hardness) after different numbers of cold-hot cycle services is tested, and based on change of Ni particles, the electrochemical performance and the mechanical performance of the SOFC pile are quantitatively associated; an attenuation coupling relationship of the electrochemical performance and the mechanical performance of the SOFC pile is disclosed and an attenuation theory model of the electrochemical performance and the mechanical performance of the SOFC pile is built. In this way, a change law of the electrochemical performance and the mechanical performance of the SOFC pile after different numbers of cold-hot cycles and a cold-hot cycle service life of the SOFC pile can be accurately predicted, which is of great significance to improve the thermal shock resistance of the cold-hot cycles of the SOFC pile, so as to promote SOFC commercialization applications.

The invention discloses a sealing ring inner diameter detection device and an inner diameter detection method thereof.The sealing ring inner diameter detection device comprises an outer taper pipe and a guide pipe, the guide pipe and one end of the outer taper pipe can be connected in an inserted mode, the outer circumferential face of the guide pipe is movably sleeved with a push pipe, the outer taper pipe is a pipe with the diameter gradually changing from small to large, and when the guide pipe and the outer taper pipe are connected in an inserted mode, the push pipe is inserted into the guide pipe. The small-caliber end of the outer taper pipe is arranged in the push pipe, scales are arranged on one side of the outer taper pipe side by side, and the outer taper pipe is sleeved with a sealing ring. The device is simple in structure and convenient to operate, can quickly and accurately measure the inner diameter of the rotary Glyd ring, and can detect the roundness, elasticity, wear degree, hardness and other performances of the rotary Glyd ring at the same time.

The invention discloses a steam turbine last-stage blade aging evaluation method based on the relation between the water erosion degree and the hardness. Sampling observation is conducted on different-degree water erosion parts of the steam inlet side of a steam turbine last-stage blade serving for a long time, and the hardness and the water erosion pit depth of the steam turbine last-stage blade are measured; fitting the measured data points by taking the depth of the water erosion pit as an X axis and the hardness of the water erosion sample as a Y axis to obtain a corresponding function relation curve of the water erosion degree and the hardness; the aging state of the last-stage blade of the steam turbine is evaluated by measuring the water erosion depth of the last-stage blade and then calculating the hardness of the last-stage blade. According to the steam turbine last-stage blade aging evaluation method based on the relation between the water erosion degree and the hardness, the real-time hardness of the position where the water erosion pit is located is calculated by measuring the depth of the water erosion pit online in real time, the operation service state and the aging degree of the steam turbine last-stage blade serving for a long time can be evaluated, operation is easy, cost is low, and the method is suitable for popularization and application. The evaluation accuracy is high, the stability is good, and convenience and rapidness are achieved.

A method of performing indentation plastometry is provided. The method includes steps of: providing a sample of a material and an indenter having a contact surface of a predetermined shape and size; forming a first indent having a first penetration depth within the sample by applying a load to press the contact surface of the indenter into the sample; measuring a first indent profile of the first indent; on the basis of the first indent profile, and the applied load to form the first indent, obtaining a preliminary measurement of a characteristic of the material; on the basis of the obtained preliminary measurement of the characteristic of the material, determining whether a second indent having a different, second penetration depth is required to obtain a more accurate measurement of the characteristic of the material, and when the second indent is required, determining a value for the second penetration depth; forming the second indent having the second penetration depth within the sample by applying a load to press the contact surface of the indenter into the sample; measuring a second indent profile of the second indent; and on the basis of the second indent profile, the applied load to form the second indent, obtaining the more accurate measurement of the characteristic of the material.

The invention discloses a concrete material quality detection method based on multi-parameter analysis, and relates to the technical field of concrete material quality detection.The method comprises the steps that concrete structure data are collected, and a plurality of original detection parameters representing concrete quality are obtained; performing preprocessing operation on the original detection parameters to remove abnormal values and unify dimensions, and obtaining a standardized target detection data set; constructing a weight distribution model, dynamically adjusting parameter weights in the weight distribution model according to current detection environment information, and outputting a dynamic weighted parameter set; performing training updating on historical detection data, performing fusion calculation on the dynamic weighting parameter set and a current detection result, and generating an optimized weight configuration parameter; and constructing a physical information neural network model, and embedding the mechanical equation and the heat conduction equation of the concrete material into a neural network loss function as constraint terms.