207 results about "Rapid assessment" patented technology

Disclosed in the present invention is an anti-seismic simulation method for an existing building by considering a real damage state. The method comprises: determining a quantified component damage index on the basis of an observed component damage state; determining a material damage index of a damaged component on the basis of the component damage index; determining key parameters of a constitutive law for a damaged material on the basis of the material damage index; establishing a finite element model of a damaged building on the basis of the constitutive law for the material of the damaged component; and assessing the seismic risk and anti-seismic performance of the damaged building on the basis of the finite element model. In the present invention, a constitutive law for a damaged material is incorporated into a fiber model in OpenSEES, so that rapid modeling of a damaged building can be realized, thereby effectively reproducing the real damage of an existing building; and by using a seismic vulnerability analysis method, rapid assessment of the seismic risk and anti-seismic capability of the existing building can be realized, thereby further providing support for formulating reasonable reinforcement and reconstruction strategies by related departments.

The invention relates to a quick mountain torrent disaster risk assessment method and system based on multi-source data fusion. The method comprises the following steps: performing space-time registration on multi-source data, constructing a dynamic factor matrix and a static geological parameter matrix, and calculating soil saturation; on the basis of the dynamic factor matrix, removing redundant factors, analyzing and generating a weight vector through an entropy method, on the basis of the effective factor set, the static geological parameter matrix and the soil saturation, correcting the rock-soil shear strength by quantifying the sediment deposition effect, obtaining the corrected rock-soil shear strength, and calculating the slope safety coefficient; and according to the coefficient, the effective factor set and the weight vector, generating a risk membership degree vector through fuzzy evaluation, calculating a risk feature value, identifying a disaster dominant type, and constructing a risk map. According to the method, through multi-source data space-time registration, redundant factor elimination, sediment deposition effect quantitative correction and the like, the efficiency and precision of mountain torrent disaster risk assessment are improved, and the support of an assessment result on disaster prevention and reduction decisions is enhanced.

The invention relates to the technical field of remote sensing image recognition, in particular to a method for determining a moso bamboo forest snow disaster affected area based on a GEE platform. The method mainly solves the problems of low efficiency, high cost and difficulty in realizing large-range rapid evaluation caused by dependence on manual field investigation in the prior art. According to the technical scheme, the method comprises the following steps: firstly, obtaining a multi-temporal Sentinel-2 image before and after a snow disaster, and carrying out the preprocessing of the multi-temporal Sentinel-2 image; extracting spectral bands, vegetation indexes and texture features to form an initial feature set; then, a key feature variable combination is determined through statistical significance filtering and machine learning optimization; on this basis, establishing a logistic regression discrimination model and determining an optimal classification threshold; and finally, carrying out snow disaster state classification on the moso bamboo forest region by utilizing the trained model, and generating a disaster region spatial distribution diagram.

The invention belongs to the technical field of high voltage and insulation, and relates to an XLPE breakdown field strength evaluation method and system based on gel content and preparation process, and the method comprises the following steps: S1, sampling, weighing, shearing and bagging; s2, extracting, weighing and calculating the gel content; s3, constructing an evaluation model; s4, predicting the breakdown field intensity; according to the technical scheme, the physical model fusing the cross-linking enhancement effect and the thermal damage effect is constructed, the breakdown field strength is predicted based on the physical model, accurate and rapid evaluation of the XLPE insulation performance under different process conditions can be achieved only through a small amount of breakdown test data calibration model, dependence on a traditional destructive electrical test is remarkably reduced, and the reliability of the XLPE insulation performance is improved. The test cost is greatly reduced, the research and development period is greatly shortened, and an effective tool is provided for cable insulation material performance analysis and production process optimization.

The invention belongs to the technical field of intelligent manufacturing and digital twinning, and discloses a machine tool spindle angular contact ball bearing stress field digital twinning modeling method based on a graph neural network, and the method comprises the steps: firstly building a finite element analysis model, and generating a multi-working-condition stress sample set; secondly, a mixed graph structure is constructed based on the grid topology and the surface k neighbor relation, and node geometric features and region labels are generated; then stress field shape-amplitude decoupling is implemented, and a stress field is decomposed into a normalized shape field and an amplitude scalar; constructing and training a dual-branch architecture shape prediction map neural network model and an amplitude regression model again, wherein a key area mask and a continuous weight are introduced into the shape model to enhance the prediction precision of the contact area; and finally, quickly predicting an amplitude and a shape field by using the model, and reconstructing full-field stress distribution. According to the method, the prediction efficiency and the prediction accuracy of a high-stress area are remarkably improved while finite element-level geometric accuracy is kept, and the method is suitable for rapid evaluation and digital twinning application of the machine tool spindle bearing.

The invention provides a method suitable for rapidly evaluating the aging state of a large-scale energy storage power station battery, and belongs to the technical field of battery state evaluation. According to the method, data acquisition is carried out during battery standing, two subsequent interval voltages of standing initial voltage are recorded, equivalent capacity loss instantaneous values at different moments are calculated in combination with a calibration proportionality coefficient and a working condition correction factor, a voltage relaxation integral area is obtained through calculation, and then a health state assessment result and confidence are obtained; the technical means of synchronously collecting the temperature change rate and the internal resistance change value, dynamically allocating weight fusion calculation, and performing evaluation in parallel in the whole station to generate an aging state distribution diagram and an abnormal alarm are adopted, and the method is adaptive to an existing energy storage power station monitoring system, does not need additional transformation, avoids voltage fluctuation to obtain high-quality data, comprehensively represents the battery polarization state, and improves the quality of the battery. The problems that large-scale energy storage power station battery evaluation is low in efficiency, insufficient in precision and lack of a global view angle are solved.

The invention provides a structure vulnerability analysis method and system based on earthquake magnitude, distance and site conditions, a storage medium and a computer program product. The method comprises the following steps: adopting a preset sampling algorithm to obtain preset earthquake magnitude, distance and site conditions, and acceleration time history samples corresponding to the preset earthquake magnitude, distance and site conditions; based on the acceleration time-history sample, performing nonlinear dynamic time-history analysis on a to-be-evaluated structure by using a finite element analysis method to obtain nonlinear structure seismic response corresponding to the to-be-evaluated structure and the acceleration time-history sample; establishing a change relationship between the statistical parameters of the seismic response of the nonlinear structure and the preset magnitude, distance and site conditions by using a regression fitting method; and constructing a vulnerability curved surface of a to-be-evaluated structure based on the preset earthquake magnitude, distance and site conditions based on the statistical parameters of the seismic response of the nonlinear structure and the change relationship between the preset earthquake magnitude, distance and site conditions. According to the embodiment of the invention, the four elements of a seismic source, a propagation path, a site and a structure can be completely coupled, and the method can be suitable for earthquake disaster risk analysis and rapid evaluation of post-earthquake disasters under various medium-short period structure systems.

The invention discloses a frequency safety assessment method and system for a high-proportion new energy power system, and the method comprises the steps: taking a frequency margin index as a constraint, and calculating a system rotational inertia margin and a bearable disturbance margin in a large disturbance fault scene; calculating a frequency modulation resource margin, a climbing resource margin and a standby resource margin in a power fluctuation scene by taking a frequency margin index as a constraint; determining the anti-disturbance capability based on the system rotational inertia margin and the bearable disturbance margin; determining the frequency regulation capability based on the frequency modulation resource margin, the climbing resource margin and the standby resource margin; and optimization control is carried out based on the anti-disturbance capability and the frequency adjustment capability, so that the high-proportion new energy power system is in a safe and stable state. According to the invention, online calculation of the anti-disturbance capability and the frequency adjustment capability of the system can be realized, the current frequency safety level of the power grid can be rapidly evaluated, and panoramic perception and early warning of frequency safety can be realized.

This invention discloses a rapid assessment method for hydrogen damage in ultra-long-life structures under alternating loads, relating to the field of materials performance evaluation. The method includes the following steps: S1: Analyzing the service conditions of typical ultra-long-life structures and key components to determine the service environment of key component materials; S2: Conducting ultra-high cycle fatigue tests under different stress ratios to obtain stress-life data for different lifespans; S3: Observing the fracture morphology of high-cycle fatigue and ultra-high cycle fatigue samples using scanning electron microscopy; S4: Performing hydrogen element detection to obtain the hydrogen content distribution around micro-defects; S5: Using the Basquin formula, piecewise linearly fitting the S-N data for the high-cycle fatigue and ultra-high cycle fatigue stages to obtain the slopes of two fitted lines; S6: Using the ratio of the slopes of the two fitted lines as the hydrogen damage factor. The method disclosed in this invention can achieve rapid assessment of hydrogen damage in long-life structures under alternating loads while ensuring the reliability of the assessment results.

The invention relates to the field of urban rail transit engineering and structural dynamics, and provides an interlayer and strain rate coupled subway tunnel lining dynamic mechanical property evaluation method and system, and the method comprises the following steps: 1, preparing an interlayer-containing cement-based cylindrical sample; step 2, applying strain rate loading, and collecting original data; step 3, reconstructing stress-strain response, and performing criterion of stress balance and constant strain rate; 4, acquiring the energy absorption rate, the dynamic compressive strength and the yield inflection point strain, and recording the failure form type; 5, establishing a statistical damage model and inverting model parameters; step 6, extracting an initial damage coefficient and a damage rate, and establishing an empirical regression formula; and step 7, constructing an evaluation index set, performing grading evaluation, and outputting material optimization and process suggestions. According to the scheme, the design, checking calculation and rapid evaluation capabilities of the subway tunnel lining under high strain rate working conditions such as impact or explosion are remarkably improved.

The application discloses a kind of vapor invasion risk rapid assessment method based on interface process, comprising the following steps: S1, find out site pollution condition and hydrogeological condition;S2, construct site indoor vapor invasion risk conceptual model;S3, calculate the attenuation coefficient that volatile transport in the soil or groundwater of pollution area is polluted to building indoor;S4, calculate the carcinogenic health risk and non-carcinogenic health risk of indoor vapor invasion exposure of different volatile organic pollutants;S5, 1x10 ‑6 As acceptable carcinogenic risk level evaluation target pollutant carcinogenic health risk, with 1 as acceptable hazard entropy evaluation target pollutant non-carcinogenic health risk;S6, determine the health risk of target pollutant by evaluation exceeding acceptable level, calculate the repair target value of target pollutant under the condition of acceptable carcinogenic risk level and the repair target value of target pollutant under the condition of acceptable non-carcinogenic risk level, take the low value in both as the final repair target value of target pollutant.

The invention provides a lightweight monitoring and rapid evaluation analysis method and system for small and medium span highway bridges. Comprising a bridge parameterization rapid input module, a vehicle load batch input module, a measuring point information arrangement module, a finite element calculation and analysis module, a batch load working condition measuring point result automatic extraction module and a cloud highway bridge structure response monitoring module. The method has the following advantages: 1, on-site appearance quality acquisition, material performance test, dynamic characteristic test and other work of the bridge are not needed, the safe traffic coefficient of the bridge can be evaluated in real time only by monitoring the dynamic deflection of the measuring point at the key section position based on the standardized structural characteristics of the small and medium span bridge, and the real-time performance of the evaluation result is realized; and 2, under any traffic flow condition, real-time dynamic verification coefficients of various types of overweight vehicles under different driving conditions and bridges can be accurately calculated, and timely safety early warning is realized, so that expenditures of a large amount of manpower, material resources and the like required by a load test are saved, and the cost is greatly reduced.

This invention provides a combination of metabolic biomarkers for T-staging assessment of colorectal cancer, comprising four groups of metabolite combinations specifically distinguishing different T stages of colorectal cancer, each group containing 10 endogenous small molecule metabolites. This invention also provides detection methods and applications for the above-mentioned metabolic biomarker combinations. Furthermore, this invention provides a method for T-staging colorectal cancer for non-diagnostic and therapeutic purposes, as well as a combination of metabolic biomarkers related to the evolution of T-staging and tumor invasion depth in colorectal cancer. The advantages of this invention are: by combining iEESI-MS detection with multivariate statistics and machine learning, specific metabolic biomarkers related to T-staging of colorectal cancer are screened, a T-staging discrimination model is constructed, and objective, accurate, and rapid assessment of T-staging of colorectal cancer is achieved, providing molecular support for preoperative individualized treatment.

The invention discloses a bridge earthquake damage rapid assessment method and system, and relates to the technical field of bridge earthquake damage assessment. According to the method, the acceleration response data of the key components of the bridge is taken as input, and the overall earthquake damage state of the bridge is quickly judged by constructing an association graph structure among the multiple components of the bridge and utilizing a graph neural network model. The method comprises the following steps: acquiring acceleration time history data of a bridge pier, a bridge abutment and a support under the action of an earthquake; preprocessing the acceleration time history data and extracting time sequence features; constructing a graph structure based on the response correlation of each component; and inputting the component features and the graph structure into the graph neural network model for reasoning, and outputting the earthquake damage level of the bridge. According to the method, multi-component damage information can be fully fused under the condition that the number of sensors is limited, the accuracy and efficiency of bridge post-earthquake damage evaluation are remarkably improved, and the method is suitable for post-earthquake emergency evaluation and bridge safety rapid judgment scenes.

This invention provides a rapid assessment method for fatigue cracks and scratches on the surface of metal components. It is a detection and analysis method for distinguishing between fatigue cracks and micro-scratches on metal surfaces, and for analyzing and predicting defect development. Its key feature is that it differentiates between fatigue cracks and micro-scratches by detecting and identifying the shape of the opening extending along the depth direction of the defect. This invention utilizes a large amount of data analysis to determine the shape of the defect opening edge, achieving clear differentiation and significantly reducing safety hazards caused by missed detections.

The invention provides a tunnel blasting equivalent load prediction method and system based on an artificial neural network for tunnel blasting dynamic response rapid evaluation. The method comprises the following steps: firstly, establishing engineering parameters for describing a single-hole blasting working condition of a tunnel, and converting the engineering parameters into dimensionless input parameter vectors; aiming at continuity parameters and grading parameters, generating sample working conditions by adopting an orthogonal test and Latin hypercube combined sampling mode, carrying out numerical simulation on each working condition, extracting a blasting triangular wave speed-time history curve of a representative measuring point in the model, and establishing a blasting triangular wave speed-time history curve with engineering parameters of a single-hole blasting working condition as input; the database takes blasting triangular wave parameters as output; an artificial neural network is trained under the loss function, rapid prediction of triangular wave parameters is achieved, and triangular waves can serve as blasting equivalent load time history to be applied to the normal direction of the plane where representative measuring points are located and used for tunnel blasting dynamic response calculation. According to the method, the calculation cost and the modeling complexity can be remarkably reduced, and the numerical calculation stability and the engineering applicability are improved.

The application discloses a kind of typhoon working condition under fan fatigue damage fast evaluation method and device, belong to wind turbine state evaluation field.The method is first set up the turbulence intensity of typhoon turbulent wind field, average wind speed range and power spectrum and space coherence model type, obtain multiple sets of wind speed characteristic combination parameters, using turbulent wind field simulation model constructs each parameter combination corresponding fan global random turbulent wind field environment;Subsequently, in combination with multi-stage fan control strategy, simulate fan structure response, generate composite bending moment time series, and evaluate based on fatigue damage calculation model;Fatigue damage average is obtained by simulating the load of multiple random structure responses, traverse all wind condition parameters, obtain global fatigue damage result and fit to form fast evaluation model;Finally, the target wind condition data is substituted, realizes the fast evaluation of fan fatigue damage degree under typhoon condition, provides technical support for fan safety analysis, operation state evaluation and typhoon damage calculation.

The invention discloses a rapid numerical prediction method for flow resistance of a shellfish trap, and relates to the field of flow resistance analysis of a nuclear power seawater cooling system. A filter screen explicit modeling or experimental testing mode is mostly adopted for flow resistance analysis of an existing shellfish catcher, and the problems that the calculation scale is large, the simulation period is long, the cost is high, or parameters depend on experience, and the engineering applicability is insufficient exist. On the basis of a porous medium equivalent modeling thought, on the premise that the porosity of the filter screen is kept consistent, a filter screen area is replaced with a porous medium area, only the viscous resistance effect in direct proportion to the flow velocity is introduced, and through pressure drop comparison of an explicit filter screen model and a porous medium model, iterative fitting is conducted on viscous resistance parameters, so that the filter screen porosity is calculated. And fitting parameters are applied to the integral model of the shellfish trap, so that rapid numerical calculation of the flow resistance characteristic is realized. The method is suitable for engineering design, operation analysis and flow resistance rapid evaluation of shellfish traps and similar high-porosity filtering structures in a seawater cooling system of a nuclear power station.

The invention belongs to the field of anti-explosion safety of hydraulic structures, and provides a method for evaluating the overall stability of an aqueduct structure under the action of an internal underwater contact explosion load, and the method comprises the steps: building a fine full-coupling analysis model of a large aqueduct under the internal underwater contact explosion; an initial load is applied, the aqueduct structure generates an initial response, and after the structural response is stable, the explosive is ignited; initial damage of the aqueduct structure under the action of the explosive shock waves is calculated, and a failure unit is deleted through a failure unit erosion technology; reconstructing a post-explosion residual structure model of the aqueduct; carrying out nonlinear static analysis on the overall stability of the aqueduct after internal contact explosion; comparing and verifying the structure response result with the simulation result of the existing analysis method; evaluating the damage grade and the overall stability of the aqueduct structure under the action of the blast load by taking the residual bearing capacity of the structure as a judgment basis; and according to a damage grade judgment result, carrying out safety assessment on the overall stability of the aqueduct after explosion. According to the invention, rapid assessment of the damage degree of the aqueduct structure under different internal contact explosion conditions is realized.

Verdazil derivative compounds and compositions thereof, useful as contrast agents for biomedical imaging, are provided. The compounds and compositions of this disclosure can be used, for example, for quantitative and / or qualitative assessment of glomerular filtration rate (GFR) in subjects, providing a reliable and rapid assessment of renal function.

The invention relates to the technical field of site saturated sandy soil liquefaction discrimination, in particular to a subway train shield tunnel underlying sandy soil layer liquefaction potential rapid assessment method based on vibration inversion, and solves the problem that the sandy soil liquefaction condition caused by subway train vibration loads cannot be assessed. The sandy soil liquefaction possibility of the target site under the action of subway train operation is rapidly and reliably evaluated, so that the requirement for early warning of liquefaction risks caused by subway vibration in the railway underpass shield tunnel engineering is met; according to the shear wave velocity Vs of the soil layer, the cycle resistance ratio CRR of the soil layer is determined; through vibration load inversion, the equivalent cyclic shear stress ratio (CSR) borne by the tunnel underlying soil layer is determined; when the equivalent cyclic shear stress ratio CSR is greater than the contrast soil layer cyclic resistance ratio CRR, the tunnel underlying layer has a liquefaction risk; otherwise, the tunnel underlying layer has no liquefaction risk.

The present application relates to the technical field of tunnel anti-seismic, in particular to a kind of across fault tunnel post-earthquake function recoverability rapid evaluation system, it includes: using remote sensing and GIS technology integration technology, through satellite remote sensing obtains post-earthquake tunnel region topography, surface displacement and surrounding environment data, through unmanned aerial vehicle aerial photography supplements ground observation blind area, using image recognition extracts across fault tunnel earthquake damage detail parameter, will tunnel function recoverability be divided into three levels, utilize historical earthquake damage repair case library establishment modular repair strategy library, using natural language processing technology will evaluation data automatically generate post-earthquake function recoverability evaluation report, through multi-department collaborative feedback mechanism improves report content, obtains final evaluation report.The present application solves the problem that post-earthquake information acquisition of across fault tunnel is not comprehensive and efficient, structural damage diagnosis is not accurate, evaluation report generation is complicated and collaborative is poor.

The application provides a double-layer structure colorimetric test paper for medical equipment occult blood detection and a preparation method and application thereof, and belongs to the technical field of hospital infection control and cleaning quality monitoring. The colorimetric test paper adopts a double-layer structure design: the bottom layer is obtained by immersing qualitative filter paper in immersion liquid A and drying, and is used for storing oxidant stably; and the upper layer is formed by uniformly coating coating liquid B on the surface of the bottom layer, and is used as a chromogenic substrate layer. When in use, hemoglobin remaining on the surface of the medical equipment can catalyze H2O2 in the bottom layer to oxidize TMB in the upper layer, a blue color reaction is generated, and naked-eye visual judgment is realized. The test paper physically separates the oxidant and the substrate, significantly improves the storage stability and detection sensitivity, and has the advantages of simple preparation process, low cost, convenient operation, and the like. The test paper is suitable for on-site rapid evaluation of cleaning effects of surgical instruments, endoscopes and the like, and has good clinical application prospect and popularization value.

The application provides a rock mass slope dumping deformation risk assessment method, system and electronic equipment, and belongs to the technical field of engineering geology and geotechnical engineering, and comprises the following steps: obtaining basic parameters of a rock mass slope to be evaluated, i.e., valley depth H, valley width W, average dip angle alpha of an anti-dumping rock layer constituting a slope main body and a comprehensive parameter representing the overall quality of the rock mass; calculating three core factors, i.e., a geomorphology unloading driving factor Gf, a structure vulnerability factor Sv and a rock mass comprehensive resistance factor Rr; calculating an unloading-dumping coupling coefficient UTI of the rock mass slope: UTI=(Gf*Sv) / Rr; comparing the calculated UTI value with preset risk classification threshold values to determine the dumping deformation risk grade of the rock mass slope to be evaluated. The application establishes a scientific, efficient, objective and quantitative dumping deformation risk rapid assessment method, which can be widely applied to route comparison and selection, disaster census and risk screening in the early stage of engineering construction in the fields of water conservancy and hydropower, transportation and the like.

A system and method for diagnosing a patient's renal function, the method comprising delivering a first tracer agent, transmucosally applying a first excitation light to the first tracer agent at the first monitoring site, transmucosally receiving a first fluorescent light emitted from the first tracer agent at the first monitoring site, transforming the received first fluorescent light to produce a first fluorescence signal, processing the first fluorescence signal to determine a first decay rate, and processing the first decay rate of the first fluorescent light to determine a glomerular filtration rate of the patient.

This invention relates to the field of battery energy storage system technology, specifically to a battery energy storage system lifespan prediction method, comprising the following steps: S1, conducting experimental tests on specific battery models for both cyclic and static usage scenarios, obtaining experimental test results, and acquiring real-time operational data of the energy storage power station; when in use, this invention combines experimental testing with a data-driven rapid battery lifespan estimation method, by statistically analyzing the daily operational data of the battery energy storage system; when calculating capacity decay, both cyclic decay and calendar decay are considered simultaneously to achieve rapid assessment and lifespan prediction of the battery's state of equilibrium (SOH); by using parallel calculation of daily operating conditions and all possible decay amounts, replacing the previous serial iterative calculation method, the algorithm efficiency is significantly improved; when data is missing, a missing value completion method is used to fill in the overall daily operating conditions, rather than directly interpolating to complete a specific variable, which helps improve the accuracy of the prediction.

System and associated methods of use for rapid assessment of visual field integrity. In one embodiment, the device comprises a frame that rests near a patient's eyes with pinpoint lights or mechanical stimuli that act as visual stimuli mounted at locations within the frame and in the patient's peripheral visual field. A vantage point in front of the frame allows an operator to view the patient's eyes during assessment, enabling the operator to maximize the accuracy during both in person and telemedicine assessments. The lights or mechanical stimuli are positioned such that they are visible to patients with a wide range of interpupillary distances, enabling the use of a single-size device for all patients.

The invention discloses a method for rapidly evaluating the first effect of single-particle artificial graphite based on the crystallite size Lc. The method comprises the following three steps: establishing a segmented linear relational expression between the crystallite size Lc and the first charge-discharge efficiency, measuring a sample Lc to be evaluated by using an X-ray powder diffractometer, and substituting the sample Lc into a corresponding relational expression to calculate the first effect. When Lc is less than or equal to 360.6, the linear relational expression is y = 0.03 x + 83.825 (R = 0.85); when Lc is larger than or equal to 360.6, the linear relation is y =-0.1082 x + 133.66 (R = 0.75), and the error between the calculation result and the measured value is smaller than or equal to 0.5%. The method has the beneficial effects that the defects of long time consumption and high cost of a traditional evaluation method are overcome, the method has the advantages of short test period, simplicity and convenience in operation, low cost and accurate result, can guide process optimization, and is suitable for efficient detection of the lithium ion battery negative electrode material.

The invention discloses a cathode dynamics rapid evaluation method, and relates to the technical field of lithium ion batteries. According to the method, a linear regression equation capable of representing the dynamic performance of the negative electrode is constructed by analyzing the particle size, the tap density (morphology hierarchy parameters) and the XRD ray diffraction pattern (microscopic hierarchy parameters) of the particles. In the actual application process, the negative electrode dynamic performance of different graphite samples can be judged only by testing the particle size, the tap density and the XRD ray diffraction pattern, and the method has the following advantages that resource consumption is reduced, the testing time is shortened, and the time cost is improved; the introduction of variables can be reduced, compared with the conventional test, the interference of human factors is greatly reduced, and the reliability of data is ensured; compared with the traditional method for testing electrochemical parameters of a half-cell or a full-cell, if the result is relatively close, the performance is difficult to judge, and relatively accurate data can be obtained by the method, so that the dynamics of graphite can be distinguished.

This invention relates to the field of post-earthquake assessment technology for railway bridges, specifically providing a method, equipment, and medium for assessing the post-earthquake vulnerability of high-speed railway bridges. The method includes: establishing a seismic response analysis model for the track-bridge system and a three-dimensional coupled dynamic model of the train-track-bridge system; constructing a post-earthquake composite track surface irregularity sample library; proposing a track surface smoothness index based on high-speed train comfort; establishing a mapping relationship between the track surface smoothness index and post-earthquake train performance indices; classifying the track surface smoothness index into four levels based on the post-earthquake train performance loss state of the track-bridge system; and establishing vulnerability curves of the track-bridge system based on train performance under different train performance loss states. This invention achieves quantitative assessment of performance-oriented functional loss; it can quantitatively provide the probability of occurrence of each level of train performance loss under different seismic intensities, providing a scientific probabilistic basis for rapid post-earthquake assessment, repair decisions, and seismic design of high-speed railway bridges.