103 results about "Damage factor" patented technology

The invention discloses a dangerous rock mass structural surface dynamic damage identification method based on a resistance distribution state, and relates to the technical field of rock-soil slope dangerous rock mass collapse monitoring and early warning, and the method comprises the steps: respectively arranging electrode arrays at two sides of the junction of a test dangerous rock mass and a stable bedrock; the electrode array comprises a group of power supply electrodes and a plurality of measuring electrodes; simulating a structural surface damage expansion process of the test dangerous rock mass based on a stepped damage loading mode, and obtaining a dangerous rock mass fracture damage factor in the structural surface damage expansion process; acquiring resistivity data corresponding to the damage expansion process of the structural surface based on the electrode array; based on the dangerous rock mass fracture damage factors and the resistivity data, constructing a damage and resistivity correlation model; and based on the damage and resistivity correlation model, carrying out damage identification on the structural surface of the to-be-identified dangerous rock mass. The technical problem that in the prior art, it is difficult to accurately capture hidden structural surface damage is solved.

The invention discloses a concrete beam damage assessment method and system fusing crack images and multi-scale features, and relates to the technical field of structural health monitoring. The method comprises the following steps: firstly, obtaining a binary image based on an original crack image of a concrete beam body; then, explicit features representing the macroscopic geometrical morphology of the crack are extracted from the binarized image, and implicit features representing the microscopic complexity and heterogeneity of the crack based on the multi-fractal theory are extracted from the binarized image; secondly, fusing the two types of features to form a fused feature space; and finally, training a machine learning model based on the feature space, establishing a nonlinear mapping relation between the machine learning model and a concrete beam damage factor, and realizing automatic and quantitative evaluation of a damage state by using the model. According to the method, dominant and recessive multi-scale features are fused, the defects that a traditional method depends on artificial experience and feature extraction is one-sided are overcome, the damage state can be represented more comprehensively and accurately, and the objectivity, accuracy and efficiency of evaluation are remarkably improved.

The invention discloses a method for predicting high-temperature and complex stress of a ceramic-based composite material based on strain control damage evolution, and belongs to the technical field of stress prediction of ceramic-based composite materials. The method comprises the following steps: determining material high-temperature performance degradation conditions according to temperature; the total strain (mechanical strain and thermal strain) of the material is calculated, and then based on a three-dimensional failure criterion of strain control, six damage initial criterion equations including stretching and compression in the warp direction, the weft direction and the out-of-plane direction are constructed; establishing an evolution model of damage coefficients by introducing a coupling mechanism of damage factors in different directions; combining a multi-linear constitutive relation of the ceramic matrix composite material to construct a rigidity degradation matrix, and realizing rigidity adjustment of the failure unit; and finally deducing a stress-strain relation equation to complete stress prediction of the material under the conditions of high temperature and complex load. The prediction method provided by the invention can accurately predict the complex stress state of the ceramic matrix composite material under the combined action of the high temperature and the mechanical load.

The application provides a bridge damage assessment method and system caused by ship collision and a medium, and relates to the technical field of bridge health monitoring. The method comprises the following steps: collecting acceleration response signal arrays of different heights and positions of a bridge pier, and generating a time series matrix; drawing a time-frequency coherence spectrum under different base functions, and obtaining a coherence spectrum entropy; determining the optimal base function based on the information entropy principle; obtaining the local correlation coefficient of the time series matrix in the time-frequency space under the optimal base function, and drawing a time-frequency coherence spectrum; evaluating the correlation and dependence degree between time series according to the local correlation coefficient and the time-frequency coherence spectrum, and judging whether the ship-bridge collision damage occurs; if the collision damage occurs, calculating the time-frequency coherence damage factor of the time series matrix at different positions, and determining the collision position and the collision degree according to the maximum protruding value in the time-frequency coherence damage factor trajectory curve. The method can effectively separate the influence of environmental factors, and provides basic method support for establishing the ship-bridge collision damage assessment technology.

The invention discloses an aero-engine turbine blade material in-situ mechanical test system and method, and the system comprises a multi-axis loading unit which is used for simulating the multi-axis stress state of a turbine blade under an actual working condition; the high-temperature environment module is used for realizing local rapid heating of the sample; the in-situ observation system integrates a high-temperature microscope lens with a long working distance and a high-speed camera and is used for observing and recording microscopic damage evolution of the turbine blade sample in a high-temperature loading process in real time; and the control unit is internally provided with a temperature-stress decoupling control model and a microdefect identification model and is used for compensating the plastic deformation heat effect in real time and quantifying the damage factor D. Synchronous loading of centrifugal force is achieved through the three-axis servo actuator, composite stress is accurately reproduced, the load error is small, and the limitation that a traditional single-axis test cannot simulate the multi-source load of the blade is broken through. Meanwhile, plastic work-induced temperature rise interference is reduced, and the technical problem of data distortion caused by temperature drift in a high-temperature test is solved.

The invention relates to the technical field of asphalt pavement structure design, in particular to a heavy-load durable asphalt pavement gradient structure in a multi-field coupling environment and a design method, and the structure comprises a high-modulus base layer, a tough middle layer and an anti-slip surface layer which are sequentially stacked from bottom to top; the dynamic modulus of the high-modulus base layer is larger than or equal to 14,000 MPa, the thickness of the high-modulus base layer is 18-25 cm, the fracture energy of the tough middle layer is larger than or equal to 1.5 kJ / m, the thickness of the tough middle layer is 8-12 cm, the structural depth of the anti-skid surface layer is larger than or equal to 0.8 mm, the thickness of the anti-skid surface layer is 4-6 cm, and the modulus gradient ratio of the base layer to the middle layer to the surface layer is (2.8-3.5): (1.4-1.8): 1. According to the method, a simulation model for coupling a temperature field, a humidity field and a heavy load stress field and a freeze-thaw damage factor quantification formula are established, so that dynamic analysis of a multi-factor collaborative degradation effect such as freeze-thaw cycle, high-temperature rutting and interlayer shear is realized, and the performance prediction precision under the environment and load coupling action is greatly improved.

The invention discloses a water conservancy project construction progress and quality management system and method, and belongs to the technical field of water conservancy project construction progress and quality management, and the method comprises the steps: S1, obtaining real-time construction parameters, a design reference value and environment load data; s2, based on the real-time construction parameters and the design reference value, calculating to obtain a comprehensive construction deviation index; s3, combining the building information model data and the comprehensive construction deviation index to construct a digital twinborn model containing an initial defect; s4, based on the digital twinborn model containing the initial defect, coupling the comprehensive construction deviation index and the environmental load data, and calculating to obtain an accumulated damage factor; and S5, determining a long-term health degree score based on the accumulated damage factors, and laying an accurate mathematical foundation for subsequent full life cycle performance prediction.

The invention provides a rock mass blasting parameter inversion method, electronic equipment and a storage medium, and belongs to the technical field of blasting parameter design. The method comprises the steps that the damage tolerance and first blasting parameters of a rock mass are determined; the explosion process of the explosive is divided into a first stage dominated by stress waves and a second stage dominated by detonation gas. In the first stage, damage factors of the rock mass under stress wave damage are calculated. In the second stage, based on the damage factors, the crack expansion degree of the rock mass under the explosion gas damage is calculated, the damage prediction radius of the rock mass is obtained, and a damage prediction model is constructed. And calculating a first damage radius of the rock mass under the first blasting parameter based on the damage prediction model. When the first damage radius is smaller than or equal to the damage tolerance, the first blasting parameter is output, otherwise, the first blasting parameter is adjusted to be a second blasting parameter, and when the second damage radius is smaller than or equal to the damage tolerance, the second blasting parameter is output. The inversion method provided by the invention can improve the precision degree of controlling the blasting damage range.

The invention discloses a deep surrounding rock anchor rod spacing quantitative determination method based on fracture toughness parameters. The method comprises the following steps: obtaining the fracture toughness and uniaxial compressive strength of rock through an indoor test; determining a uniaxial compression parameter and an elastic modulus of the rock mass by combining a geological strength index GSI, a damage factor D and a Hoek-Brown criterion; calculating a brittleness index B4 by using the fracture toughness of the surrounding rock, the uniaxial compressive parameter of the rock mass and the elastic modulus; and based on the brittleness index B4, the rock mass elasticity modulus, the engineering burial depth and the rock mass volume weight, a quantitative calculation formula of the anchor rod spacing is established, an empirical coefficient is solved in combination with the spacing range of the corresponding surrounding rock grade in the specification, and finally quantitative determination of the anchor rod spacing is achieved. The method overcomes the defect that quantitative basis is lacked in spacing adjustment in existing specifications, and is particularly suitable for anchor rod support design for controlling brittle failure of surrounding rocks under the deep high-stress condition.

The present application relates to the technical field of injury early warning, in particular to a taekwondo athlete injury early warning management method and system, the steps comprising: acquiring the transient chest wall stress wave signals collected by the inner side sensor array of the uniform, the absolute time stamp information of each time of being hit and the baseline systolic pressure data; calculating the time interval of two consecutive times of being hit according to the absolute time stamp information and determining the correction coefficient of the frequency of being hit per unit time; performing time domain square root integral processing on the transient chest wall stress wave signals to obtain residual stress wave characteristic energy values; based on the energy values, the correction coefficient of the frequency and the baseline systolic pressure data, using the tissue fatigue accumulation model to dynamically superimpose and solve to generate the time domain strain cumulative damage factor; comparing and judging it with the preset safety damage threshold in real time; if greater than or equal to the threshold, generating the chest wall occult injury early warning instruction and sending it to the coach terminal for visual early warning. The present application realizes the chest wall occult fatigue damage accumulation quantification and individualized accurate early warning.

The invention relates to the technical field of concrete structure engineering, and provides a mass concrete pouring damage cracking prediction and grading evaluation method considering a shrinkage effect, and the method comprises the steps: carrying out the layered modeling in ABAQUS according to a pouring scheme, and simulating the construction through a life-death unit; calculating a temperature field based on the HETVAL subprogram composite index hydration heat release and the FILM subprogram time-varying heat transfer boundary; arrhenius equivalent age coupling ACI 209R-92 shrinkage is introduced through a USDFLD and UEXPAN subprogram, and age evolution of an elastic modulus and a thermal expansion coefficient is realized in combination with a UFIELD subprogram, so that a temperature-shrinkage stress field is obtained; a CDP model is adopted to calculate pulling / pressing damage and output a damage cloud picture, three-level maintenance crack control measures are given according to damage factor partitions, and parameters are checked in combination with field temperature / strain monitoring. According to the scheme, transformation from point discrimination to global identification and hierarchical management and control is realized, the temperature field, the shrinkage effect and the time-varying characteristics of the material are considered, the prediction precision and operability are improved, the crack and leakage risks are reduced, the durability is improved, and the rework cost is reduced.

The application provides a goaf overburden strata settlement calculation method based on internal damage characteristics of overburden, and the method comprises the following steps: obtaining a detection image; determining a fractal description of a damage variable by using a digital image processing technology and a fractal box covering method according to the detection image; calculating a crack area distribution weight of overburden at different depths, and determining an optimal fractal box size according to a relationship between an information space dimension and a box covering fractal dimension; determining a fractal damage constitutive model by determining an overburden body damage factor according to the fractal description of the damage variable and the optimal fractal box size; calculating additional stress of overburden at different depths according to a stress balance principle, and calculating the settlement of overburden at different depths by using a layer summation method. By using the fractal damage constitutive relationship, the application constructs a goaf overburden strata settlement calculation model, so that the settlement of overburden at different depths is calculated, the calculation precision is improved, and the purpose of calculating the goaf overburden settlement by using the fractal theory is achieved.

The application relates to a damage imaging method, device and medium based on distance optimization density clustering RAPID. The method comprises the following steps: S1, one sensor of a sensor network is selected as an exciter to drive the sensor to generate a guided wave signal, so as to obtain a health signal SH and a damage signal SD of each sensing path. S2, a damage factor DI and a distance optimization parameter beta of the corresponding sensing path are calculated according to the health signal SH and the damage signal SD of each sensing path. S3, a to-be-measured region is determined according to a to-be-measured structure, and a damage probability value matrix P of the to-be-measured region is calculated according to the distance optimization parameter beta and the damage factor DI based on a probability reconstruction algorithm. S4, density clustering processing is performed on the damage probability value matrix P to eliminate false damage probability values, so as to form a new damage probability value matrix TP. S5, a damage image of the to-be-measured region is drawn according to the damage probability value matrix TP. The application can obtain damage imaging results more in line with the real damage shape.

This invention discloses an intelligent monitoring system and method for hydrogen energy storage and transportation based on artificial intelligence, relating to the field of artificial intelligence technology. Based on the material safety factor, the invention classifies containers into corresponding safety levels and defines the range of operational risk indicators corresponding to different risk levels in each operational stage. Based on operational status data, a stress-induced hydrogen diffusion prediction model is constructed. The hydrogen concentration is calculated based on the stress-induced hydrogen diffusion prediction model, and damage factors are calculated by combining temperature distribution and stress parameters to establish a damage factor prediction model. Based on the damage factors and combined with the time parameters of container anomalies, a container life prediction model is established. Real-time data is collected during container operation to predict the remaining container life and determine the current operational risk, significantly improving the safety, intelligence level, and operational reliability of the hydrogen energy storage and transportation system.

Provided herein is a damage prevention and mitigation (DPM) computing device including at least one processor in communication with a memory device. The at least one processor may be configured to identify a plurality of property parameters associated with a property wherein the property parameters are associated with one of a structure and design of the property; receive, via one or more telematics sensors, property telematics data; determine one or more damage factors associated with the property, wherein each damage factor includes an aspect of the property that increases a likelihood of the property incurring some damage; and generate a damage profile for the property based upon the determined damage factors, wherein the damage profile includes at least (a) one or more recommendations to address the damage factors and mitigate the likelihood that the property will incur damage, and (b) an insurance coverage amount for the property.

This application discloses an in-situ mechanical testing system and method for aero-engine turbine blade materials. The system includes: a multi-axis loading unit for simulating the multi-axis stress state of turbine blades under actual operating conditions; a high-temperature environment module for achieving localized rapid heating of the sample; an in-situ observation system integrating a long-working-distance high-temperature microscope and a high-speed camera for real-time observation and recording of the microscopic damage evolution of the turbine blade sample during high-temperature loading; and a control unit with a built-in temperature-stress decoupling control model and a microscopic defect identification model for real-time compensation of the thermal effects of plastic deformation and quantification of the damage factor D. This application achieves synchronous loading of centrifugal force through a three-axis servo actuator, accurately reproducing composite stress with small load errors, overcoming the limitation of traditional single-axis testing in simulating multi-source loads on blades. Simultaneously, this application reduces interference from plastic work-induced temperature rise, solving the technical problem of data distortion caused by temperature drift in high-temperature testing.

The application discloses a dangerous rock mass structure surface dynamic damage identification method based on resistance distribution states, relates to the technical field of dangerous rock mass collapse monitoring and early warning of rock-soil slopes, and comprises the following steps: arranging electrode arrays on the two sides of the junction of a test dangerous rock mass and a stable bedrock; the electrode arrays comprise a group of power supply electrodes and multiple measuring electrodes; simulating the structure surface damage expansion process of the test dangerous rock mass based on a ladder type damage loading mode, and obtaining a dangerous rock mass crack damage factor in the structure surface damage expansion process; obtaining resistivity data corresponding to the structure surface damage expansion process based on the electrode arrays; constructing a damage-resistivity correlation model based on the dangerous rock mass crack damage factor and the resistivity data; and identifying the damage of the structure surface of a dangerous rock mass to be identified based on the damage-resistivity correlation model. The application alleviates the technical problem that hidden structure surface damage cannot be accurately captured in the prior art.

The invention provides a method for constructing an anisotropic continuous damage mechanical model of a rock mass under true three-dimensional stress, which comprises the following steps: S1, determining a basic expression form of the damage mechanical model, the stress deformation of a rock mass material comprising two parts of elastic deformation and plastic deformation; s2, determining a damage factor and a structural surface influence factor; and S3, constructing a complete rock mass continuous damage mechanical model. According to the method, a rock mass continuous damage mechanical model capable of considering anisotropic damage characteristics under true three-dimensional stress is established on the basis of a continuous damage mechanical theory, so that the model can reflect damage cumulative evolution processes in three principal stress directions, and meanwhile, a relationship can be established between damage factors and structural plane occurrence, so that the rock mass continuous damage mechanical model can be obtained. The model can further reflect the influence rule of the structural surface to the rock mass damage, the established mechanical model is embedded into numerical simulation analysis software by utilizing a programming language, the anisotropic damage characteristics of the rock mass under the true three-dimensional stress of the deep underground engineering are analyzed, and a basis is provided for design and construction of the underground engineering.

The invention belongs to an intelligent highway pavement structure based on a self-sensing asphalt material and a monitoring system of the intelligent highway pavement structure, and discloses the intelligent highway pavement structure based on the self-sensing asphalt material and the monitoring system of the intelligent highway pavement structure. A pavement structural surface layer is made of a self-sensing asphalt mixture containing an amorphous silicon-based composite functional phase, the functional phase is prepared through a specific process, a nano bowl-shaped array is arranged on the surface of the functional phase, tungsten carbide nano crystal nucleuses are coated on the surface of the functional phase, and the functional phase and asphaltene form a non-equilibrium electron cloud overlapping system. The monitoring system is based on a non-contact microwave resonant cavity coupling principle, analyzes reflected signals, extracts characteristic vectors, and inverts real-time stress, strain, damage factors and temperature state parameters in combination with an inverse problem solver. A traditional sensor pre-embedding mode is abandoned, the pavement body and the sensing function are fused, the problems of implantation damage, life mismatching, low spatial resolution and the like are solved, and a new normal form is provided for intelligent road safety early warning and full-life management.

The application discloses a kind of based on initial modulus index asphalt mixture fatigue life prediction method, the present application includes the following steps: S1, the standard test piece of asphalt mixture is made;S2, the three-point bending fatigue test of asphalt mixture under different stress levels is carried out to the standard test piece made under setting parameter;S3, according to test data fitting asphalt mixture stress strain hysteresis curve;S4, based on the stress strain hysteresis curve obtains the initial modulus and failure modulus of asphalt mixture;S5, based on the initial modulus and failure modulus described above constructs the fatigue damage factor model of asphalt mixture based on initial modulus;S6, based on the fatigue damage factor model constructed predicts the fatigue life of asphalt mixture in use.The present application is more reasonable by introducing failure modulus and constructing damage factor model, so that the residual life of asphalt mixture can be more accurately and quickly predicted.

The application discloses a kind of based on H-B criterion experience parameter quantitative determination surrounding rock stability analysis method, including the following steps: obtaining rock material constant m i , rock uniaxial compressive strength σ ci And carry out acoustic wave test to obtain the rock mass acoustic wave velocity at different depths perpendicular to the surrounding rock surface, calculate the average acoustic wave velocity of original rock area, according to the average acoustic wave velocity combined with the quantitative calculation of wave velocity method the geological strength index GSI m0 And damage factor D, according to the change rule of damage factor D, the quantitative change relationship of damage factor D at different depths d from the surrounding rock surface is summarized, the quantitative change relationship of three experience parameters (m b , s and a) at different depths d from the surrounding rock is obtained, the equivalent continuity of three experience parameters is valued using micro-element method and numerical analysis method, and the stability of surrounding rock is evaluated.The present application lays an important foundation for subsequent surrounding rock stability analysis, disaster prevention and control and other problems.

This invention belongs to the technical field of ultimate bearing capacity assessment for highway slope anchorage engineering. It provides a method for calculating the ultimate pull-out bearing capacity of hollow secondary grouting anchors, including the following steps: S100, obtaining the cross-sectional area lost at the anchor's opening location and the complete cross-sectional area before the opening; defining the damage factor; S200, determining the material density of the anchor and treating it as an equivalent cylinder of uniform wall thickness; S300, establishing the actual stress expression and the total damage factor expression for the ultimate tensile bearing capacity; S400, converting the actual stress expression for the ultimate tensile bearing capacity; S500, deriving the formula for the ratio of the tensile force of the complete anchor to the tensile force of the anchor with the opening. This invention can systematically evaluate the influence of different perforation diameters on the mechanical properties of the anchor, thus facilitating the scientific determination of the anchoring force of hollow secondary grouting anchors and providing support for the formation of standardized and scientific design methods and systems.

The invention relates to the technical field of electric digital data processing, and discloses a combined bridge interface damage time-varying analysis method and system, and the method comprises the steps: obtaining a slip sequence and temperature gradient data of a joint interface; extracting a high-frequency dynamic response signal through dynamic residual filtering; calculating a displacement compensation amount based on the thermal stress characteristic matrix, and eliminating the compensation amount from the dynamic response signal to determine a net slip characteristic value; mapping the slip space distribution difference into a topological feature vector by using an interface stress distribution mapping operator; analyzing the unsteady oscillation characteristics of the dynamic response signal, determining the cementation failure probability, and outputting a damage analysis index in combination with a topological feature vector, so that accurate decoupling of environment thermally induced displacement interference and a structure damage signal is realized, the influence of non-damage factors is eliminated, and a rigidity degradation critical point is captured by utilizing an interface topological evolution mechanism; the early interface void recognition reliability is improved, and bridge safety evaluation is supported.

This invention relates to the field of gear damage evaluation technology, specifically a method for evaluating the cohesive damage of laser cladding at the gear surface interface. The method includes the following steps: Real-time acquisition of normal and tangential strain data is achieved using a fiber optic grating sensor pre-placed at the interface between the cladding layer and the substrate. This data is then converted into real-time traction force values ​​based on the material's elastic constitutive relation, while simultaneously acquiring surface displacement data. A finite element model of the gear containing cohesive elements is constructed. Based on the traction separation constitutive relation and the second nominal stress criterion, the real-time traction force is introduced to drive the cohesive model for dynamic calculation, calculating the damage factor and determining the crack initiation state. This invention solves the prediction bias problem caused by the reliance on ideal assumptions in traditional cohesive models by deeply coupling real-time monitored physical quantities with numerical simulation, achieving early and accurate warning of cracks at the laser cladding layer interface. This significantly improves the real-time performance and reliability of damage evaluation, effectively avoiding engineering risks caused by sudden failures.

The application discloses a spherical tooth tip blade safety evaluation method and system based on data analysis, and relates to the technical field of cutting processing.The application comprises the following steps: collecting blade surface morphology, microscopic lattice structure and cutting dynamic load data through a white light interferometer, EBSD and a dynamometer; establishing a macro finite element model and embedding a microscopic crystal plasticity submodel; matching macro and microscopic stress fields, calculating lattice orientation conversion matrix and Schmid factor, and extracting slip system characteristic parameters; determining crack initiation, calculating an extension path in combination with an anisotropy criterion, and reconstructing three-dimensional crack morphology; calculating a cumulative damage factor, dividing three-level safety threshold values, and outputting a visual report and a life prediction value.The application establishes a coupling equation of macro stress field and microscopic crystal orientation, integrates the mechanical response characteristics of a material at different scales, and improves the physical authenticity of crack initiation and extension prediction.

The present application relates to the technical field of concrete structure engineering, and provides a mass concrete pouring damage cracking prediction and grading evaluation method considering shrinkage effect, comprising: layering modeling according to pouring scheme and simulating construction by using life and death unit in ABAQUS; calculating temperature field based on composite exponential hydration heat release of HETVAL subprogram and time-varying heat transfer boundary of FILM subprogram; introducing Arrhenius equivalent age coupling ACI 209R-92 shrinkage through USDFLD and UEXPAN subprograms, realizing age evolution of elastic modulus and thermal expansion coefficient in combination with UFIELD subprogram, and obtaining temperature-shrinkage stress field; calculating tensile / compressive damage by using CDP model and outputting damage cloud picture, giving three-level maintenance crack control measures according to damage factor partition, and checking parameters in combination with on-site temperature / strain monitoring. The present scheme realizes the transition from point judgment to global recognition and grading control, takes into account the time-varying characteristics of temperature field, shrinkage effect and material, improves the prediction accuracy and operability, reduces the risk of cracks and leakage, improves durability and reduces rework cost.

This invention discloses a method and system for analyzing the short-circuit withstand capability of power transformers considering cumulative damage, relating to the field of smart grid technology. It solves the problems of existing power transformer short-circuit withstand capability analysis methods being unsuitable for operational equipment and inaccurate results due to the analysis process only considering independent influencing factors and specific short-circuit scenarios. The key technical points are: considering all short-circuit conditions, for any given short-circuit condition, analyzing the winding safety factor from multiple dimensions (strength, stiffness, stability, and vibration, etc.), simultaneously considering the damage factor of a wide boundary (operational aging, cumulative impact, thermal effects) to perform a first correction to the multi-dimensional safety factor, and considering the strong mechanical coupling effect between windings to perform a second correction to the multi-dimensional safety factor, ultimately obtaining an accurate comprehensive safety factor for the power transformer's short-circuit withstand capability, thus realizing the assessment of the power transformer's short-circuit withstand capability.

The application discloses a kind of super high performance concrete component regional performance evaluation methods, belong to data analysis technical field.The super high performance concrete component regional performance evaluation method includes the following steps: corrosion state information of UHPC component in service state is collected;According to corrosion state information, component is divided into three kinds of regions of complete corrosion area, transition corrosion area and uncorrosion area;Structural performance related index is extracted in each corrosion area respectively, corrosion induced interface slip damage model is established, and slip damage factor is obtained;According to the slip damage factor and residual bearing capacity retention rate of each region, performance grade division standard is established, each region is judged as I, II or III performance grade;The regional performance grade evaluation result of component is output.The super high performance concrete component regional performance evaluation method disclosed in the application can solve the problem that the existing method is difficult to accurately evaluate the regional performance of the component.

The invention provides a concrete column damage evaluation method based on a piezoelectric sensing technology, and the method comprises the steps: pre-burying a plurality of piezoelectric sensors in the most sensitive damage section of a column body before the pouring of a to-be-monitored concrete column; collecting charge signals output by each piezoelectric sensor in the process that the concrete column to be monitored is subjected to an external load, respectively converting the charge signals into concrete axial strain at the corresponding sensor arrangement position, and calculating concrete axial stress at the corresponding position based on the concrete axial strain; according to the concrete axial stress and axial strain data of each monitoring point, concrete compression damage factors of the corresponding monitoring points are calculated; calculating an average value of concrete compression damage factors of all monitoring points on the most sensitive damage section, and taking the average value as an average damage index of the section; and judging the overall damage grade of the to-be-monitored concrete column by taking the section average damage index as an evaluation index of the to-be-monitored concrete column from material damage to component overall damage.

The application discloses a method for predicting residual tensile strength of CFRP after fire, and belongs to the field of mechanical property damage evaluation of composite materials. The method provides two sets of complementary prediction schemes. One is a two-region model. CFRP after fire is divided into a pyrolysis damage region and an un-pyrolysis region. The pyrolysis thickness and the un-pyrolysis thickness are obtained through thickness measurement. An exponential decay type pyrolysis damage factor is constructed by coupling heat flux and flame exposure time. The residual tensile strength is quickly predicted through thickness weighted calculation. The other is a comprehensive damage index model (CDI). The pyrolysis thickness and the damage area are used as core parameters. The CDI is constructed by coupling linear normalization and optimal weight. The residual tensile strength is accurately predicted through a quadratic function correlation model. The application is suitable for rapid evaluation on engineering sites, and can be widely used in safety evaluation and residual life determination of CFRP structures after fire in the fields of aerospace, rail transit, vehicle-mounted hydrogen storage cylinders and the like.