355 results about "Rapid assessment" patented technology

The invention relates to the technical field of bridge structure health monitoring, and particularly provides a bridge earthquake damage rapid assessment method and system, and the method comprises the steps: carrying out the cross-modal coupling calibration of a time-history sudden change feature and a phase of a space energy spectrum, and generating a high-confidence three-dimensional dynamic response field; inputting the spatial gradient distribution characteristics into a nonlinear material state inversion program, performing path integrity verification in combination with an energy dissipation path, and outputting a potential damage topology boundary of the bridge; dividing an output bridge potential damage topological boundary into discretized damage units, and mapping strain constraints of the discretized damage units into triple decision-making indexes including a traffic capacity attenuation coefficient, an emergency disposal aging threshold value and an aftershock risk level through a bridge structure function attenuation rule. The system comprises a mixed field dynamic response reconstruction module, a damage sensitive domain reverse locking module and a function level damage quantitative mapping module. According to the method, deterministic mapping of the bridge structure damage state and the engineering function index is realized.

The invention discloses a multi-modal data driven commercial vehicle frame performance prediction method and system. The method comprises the following steps: uniformly coding design variables of a frame; constructing a multi-modal performance response data set based on finite element simulation and test results of mass production vehicle models, and realizing fusion of simulation and test data by adopting a maximum mean difference and related alignment algorithm; constructing a graph perception Transform multi-task prediction model fusing the structure topology and the physical position features, and predicting key performance indexes of the frame under a plurality of typical working conditions; through weighted multi-task loss function joint training, an uncertainty mechanism is introduced to dynamically adjust task weights; and after training is completed, deploying to an inference engine to realize second-level prediction and support increment fine adjustment updating. According to the method, repeated modeling and solving processes are avoided, the frame performance prediction efficiency and the adaptive capacity are remarkably improved, and the method is suitable for rapid evaluation of the frame performance of commercial vehicles of various structural configurations and material types.

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 discloses a hydrogen leakage accident holographic perception and disaster situation dynamic prediction system in a tunnel scene, and belongs to the technical field of hydrogen energy traffic safety and intelligent risk management. According to the system, multi-modal information such as environmental parameters, hydrogen concentration, heat source temperature, leakage acoustic characteristics and vehicle states is collected in real time through a multi-modal sensing unit; abnormal detection, time synchronization and space registration are carried out through the information fusion module to generate fusion data in a unified format; the hazard source analysis module locates a leakage source, estimates a leakage rate, locates an ignition source and extracts disaster characteristics based on the fused data; the disaster dynamic prediction module predicts spatio-temporal evolution of diffusion, combustion and explosion by using an agent model and calculates disaster levels; the feedback early warning unit synchronously outputs the prediction information to the tunnel monitoring platform and issues early warning information; and the data storage and self-optimization module uniformly stores historical data and optimizes the prediction model through incremental learning. The system realizes real-time monitoring, rapid evaluation and intelligent disposal of tunnel hydrogen leakage accidents.

The invention relates to a battery self-discharge characteristic analysis and rapid evaluation method, and aims to improve the precision and efficiency of battery self-discharge performance detection. According to the method, in a set environment stable interval, an instantaneous voltage change sequence and a current perturbation response sequence of a target battery are acquired through micro-load disturbance, and a battery internal resistance dynamic evolution tensor representing dynamic response characteristics in the battery is constructed; extracting local features by applying a multi-scale time window segmentation strategy, forming a feature vector group containing a voltage nonlinear rebound factor and a delay response index, inputting the feature vector group into a trained Bayesian weighted adaptive mapping network, and outputting a battery self-discharge rate estimated value combining a manufacturing batch residual error and temperature offset compensation; performing trend fitting and consistency checking on the estimated value to obtain a battery self-discharge grade evaluation result, and generating a structured detection report containing initial offset, rebound amplitude and estimation confidence; the method can be widely applied to battery production, quality control and performance screening scenes.

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 discloses a bridge pile group system earthquake damage rapid assessment method fusing Hilbert-Huang transformation and physical prior, belongs to the technical field of civil engineering and building earthquake resistance, and aims at solving the problems that a traditional method is lagged, physically unreasonable and limited in local monitoring. The method comprises the following steps: S1, model training and embedding: before an earthquake, constructing a deep learning model, and embedding a pile-soil vibration control equation and boundary conditions in the model as loss function constraint terms; s2, establishing a damage mapping relation: before an earthquake, establishing a quantitative mapping relation between a frequency domain index representing the overall dynamic characteristics of the system and an engineering demand parameter representing the local plastic damage degree; and S3, post-earthquake real-time evaluation: determining the overall damage degree and damage position of the structure according to the extracted frequency domain index difference on the basis of the established quantitative mapping relation during an earthquake.

The invention relates to the technical field of accelerator radiation protection, in particular to an induced radioactivity assessment method suitable for a mobile accelerator component. Monte Carlo simulation software is adopted to calculate radionuclide activity concentrations in different areas of an acceleration component before movement, then radionuclides serve as radiation source items, and three-dimensional space dose rate distribution of the component and the periphery when the position of the accelerator component changes is obtained through calculation. And rapid evaluation of the received dose of the staff during maintenance and rapid formulation of a maintenance scheme are realized. The method effectively promotes the application of the Monte Carlo method in the field of radiation protection of the accelerator, provides reference for radiation hazards to workers, and provides technical support for radiation protection and operation maintenance of the accelerator.

The invention discloses an epoxy resin aging diagnosis method based on electric frequency and optical frequency combined characteristics, and belongs to the technical field of electrical equipment insulation aging assessment. The sum of products of frequency under electric frequency and a dielectric loss angle tangent value and the sum of products of frequency under optical frequency and the dielectric loss angle tangent value are used as characteristic values; the method comprises the following steps: fitting with equivalent breakdown field strength, constructing a quantitative characterization relationship between the equivalent breakdown field strength of an epoxy resin sample and an electric frequency-optical frequency dielectric loss angle tangent value, and evaluating the actual aging degree of the epoxy resin insulating material by calculating the decline rate of the equivalent breakdown field strength, thereby avoiding a large number of repeated breakdown experiments. The aging degree of the epoxy resin insulating material can be accurately and quickly evaluated; the function relationship between the breakdown field strength of the epoxy resin material and the electric frequency-optical frequency dielectric parameters is constructed from two directions, the evaluation index suitable for the aging degree of the whole period is established, and theoretical support is provided for accurate and rapid evaluation of the aging degree of the epoxy resin insulating material.

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 present invention relates to the technical field of bridge earthquake damage performance assessment, and specifically discloses a method for rapid earthquake damage performance assessment of high-speed railway bridges based on machine learning, comprising: real-time acquisition of multi-source data of high-speed railway bridge structures, historical earthquake databases, and BIM models of bridge structures through a heterogeneous data acquisition system; construction of a multimodal feature space comprising partial features including time-frequency domain features, spatial features, and probabilistic features; construction of a hierarchical machine learning architecture based on a dynamic Bayesian network damage propagation model, a hybrid model of a multi-scale convolutional neural network and a long short-term memory network, and an uncertainty quantification and dynamic update mechanism; and establishment of an earthquake damage performance assessment model based on the hierarchical machine learning architecture; use of the earthquake damage performance assessment model to perform earthquake damage performance assessment on the multimodal feature space and generate a damage probability distribution; and effective mining of potential earthquake damage-related information behind the data to more accurately simulate and predict earthquake damage to bridges.

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 belongs to the field of infectious disease community transmission multi-subject simulation, and relates to an infectious disease community transmission multi-subject simulation method and system containing asymptomatic infectors. The method comprises the following steps: establishing a virtual community group which comprises a plurality of communities and a plurality of destinations; distinguishing subjects in the virtual community group by using the health state and the space state, wherein the subjects comprise a susceptible subject S, an exposed subject E, an asymptomatic infection subject A, an infection subject I and a rehabilitation subject R; a motion sequence of all subjects in the virtual community group is established, the infectious disease transmission process is simulated according to the motion sequence, and the motion sequence comprises movement, infection and state updating, infection detection and isolation and community sealing control; and obtaining a simulation result, and evaluating the effectiveness of the infectious disease prevention and control policy. According to the method, rapid evaluation of different prevention and control strategies on infectious disease transmission conditions, social and economic influences caused by infectious diseases and the like can be realized, and beneficial reference is provided for a macroscopic regulation and control policy for restraining infectious diseases.

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 discloses an unmanned aerial vehicle base station trajectory and virtual network function collaborative optimization method based on model prediction control, and belongs to the field of unmanned aerial vehicle mobile network and service quality optimization. Firstly, a utility-driven ABS track and service quality coupling framework is provided, the relationship between the ABS position and the user service quality is quantified, and a decision basis is provided for track optimization. A rapid evaluation module for online VNF arrangement and resource allocation is introduced, service delays under different deployment strategies are accurately estimated, and key input is provided for an RDT model and trajectory optimization. And a closed-loop adaptive optimization and cooperation mechanism is constructed: through an ABS trajectory adaptive optimization module based on model prediction control, the unmanned aerial vehicle can prospectively plan and adjust the flight trajectory so as to maximize the average communication rate of the user. For a multi-ABS scene, a distributed model predictive control and conflict resolution mechanism based on a virtual token is provided, so that a plurality of ABSs can effectively avoid conflicts and carry out cooperative services while optimizing own service quality.

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 belongs to the technical field of earthquake toughness improvement of old buildings and earthquake response rapid calculation based on an artificial intelligence technology, and discloses a node for a BRB reinforced old reinforced concrete frame structure, a design method and an earthquake toughness improvement rapid evaluation method of the BRB reinforced old reinforced concrete frame structure. The joint comprises a frame structure beam column joint composed of a reinforced concrete beam component, a column component and a plate component, a buckling restrained brace, a high-strength bolt, a connecting plate, a cladding plate, a bottom plate and stiffening ribs. According to the connection node structure provided by the invention, the damage to the opening positions of the plate components is easier to control through the structure design compared with the damage to the opening positions of the beam and column components in the conventional connection node structure, and the integrity and the bearing capacity of the beam and column components serving as main bearing components of the structure are better protected. According to the probability-based earthquake toughness improvement evaluation method, the structural vulnerability is adopted as a comparison parameter, and the reinforcing effect of the buckling restrained brace on the structure is displayed more visually and more comprehensively through vulnerability control rate analysis.

The invention relates to the technical field of trajectory planning, and provides a rapid evaluation and search method and system for an optimal trajectory and terminal equipment, and the method comprises the steps: sampling a plurality of state points in a pre-planning space, and carrying out the pre-collision detection of the state points to remove points conflicting with an obstacle, and obtaining effective sampling points; performing cost evaluation on the effective sampling points, wherein the cost evaluation comprises heuristic cost based on historical planning trajectory information and static cost based on motion features; and iteratively searching from the initial state point based on the result of the cost evaluation: calculating the trajectory cost of the neighborhood state point and updating the search path along the gradient direction until the optimal feasible trajectory is output. According to the method, invalid sampling points are screened out through pre-collision detection, a gradient iteration search mechanism is adopted, and the track search efficiency is improved.

The invention relates to the technical field of operator safety management, and discloses a non-contact physiological status rapid screening method and system and a medium, and the method comprises the steps: collecting an RGB three-channel space-time image sequence of a facial region of interest; carrying out illumination correction on the RGB three-channel space-time image sequence by adopting an adaptive gamma correction algorithm, carrying out end-to-end noise reduction processing on the illumination correction image sequence by utilizing a one-dimensional convolutional neural network auto-encoder noise reduction algorithm, and separating a remote photoelectric volume pulse wave tracing pulse signal; calculating physiological indexes of heart rate, heart rate variability and oxyhemoglobin saturation based on the remote photoplethysmography pulse signal; and performing grading judgment on the physiological indexes based on the physiological index grading standard, determining a final post suitability judgment grade in combination with the wooden barrel effect model, and generating a grading early warning signal. According to the method, accurate and rapid evaluation of the physiological state of the operator in a complex environment can be realized, the individual health degree can be comprehensively and objectively considered, and decision support is provided for reasonable distribution of posts and efficient configuration of personnel.

The invention relates to the field of power grid power transmission, in particular to a power grid multi-topology section power transmission capacity rapid evaluation method and a medium, and the method comprises the steps: obtaining power grid operation data containing an operation data matrix and an adjacent matrix; judging whether the power grid topology is changed or not, and if so, updating a power transmission distribution coefficient matrix reflecting the influence of node injection power on section power flow; and inputting the correlation matrix into an off-line trained evaluation model constructed based on an improved graph attention network, and outputting a maximum power transmission capability predicted value. According to the method, through a closed-loop process, evaluation needing repeated iteration or retraining is converted into off-line training and then is taken and used, the bottleneck that topological change needs to be modeled again is eliminated, real-time evaluation and rapid decision making are achieved, and the problems that an evaluation model adapts to topological change and outputs a high-precision result at a millisecond level are solved.

The invention discloses a comprehensive energy supply system reliability detection method considering state reverse analysis. The method comprises the following steps: firstly, constructing an energy conversion model of a multi-energy coupling element in a comprehensive energy supply system; thirdly, constructing an output power model of the multi-energy coupling element based on the energy conversion model of the multi-energy coupling element and initial input energy of the comprehensive energy supply system; and finally, the reliability of the comprehensive energy supply system is rapidly detected by using the output power model of the multi-energy coupling element. The method provided by the invention focuses on the component combination of which the output power is smaller than the energy demand to realize the rapid evaluation of the reliability of the comprehensive energy supply system.

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.

The invention discloses a grassland carbon sink rapid evaluation system based on a multispectral unmanned aerial vehicle and transfer learning. The operation process of the system specifically comprises the following steps: acquiring multispectral remote sensing image data and auxiliary geographic space data; performing data preprocessing and feature extraction to obtain a multi-source feature data set; constructing a grassland carbon sink evaluation model based on a transfer learning algorithm, and training and optimizing the grassland carbon sink evaluation model; generating a grassland carbon sink evaluation result map by adopting the grassland carbon sink evaluation model; storing data in a distributed database; and performing spatial-temporal change analysis and carbon sink potential prediction, and outputting a carbon sink dynamic monitoring report and a project management suggestion. The method has the following advantages and effects: high-precision, high-efficiency and low-cost cross-regional rapid evaluation of the grassland carbon sink is realized by fusing the multispectral unmanned aerial vehicle remote sensing and transfer learning technologies, and the data reliability and traceability are ensured by means of the block chain.

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 discloses a power grid operation rapid evaluation method, system and device and a storage medium, and the method comprises the steps: obtaining the probability distribution data of photovoltaic output and load demand in a power system, carrying out the preprocessing of the probability distribution data of photovoltaic output and load demand, and obtaining the dynamic characteristics of photovoltaic output and load demand; the optimal power flow is calculated by taking the minimum operation cost as the target and combining the power grid operation constraint, and the optimal power supply output condition and the load shedding amount under the optimal operation mode of the power grid are obtained; presetting a power grid operation state evaluation model, and training the preset power grid operation state evaluation model to obtain an optimal power grid operation state evaluation model; and evaluating the power grid operation state based on the optimal power grid operation state evaluation model. According to the method, the volatility and uncertainty caused by new energy high-proportion grid connection and flexible load can be effectively dealt with, the robustness of the model to a complex power grid environment is improved, and the operation state of the power grid is rapidly and accurately evaluated.

According to the valve-regulated lead-acid storage battery state-of-health assessment method and system provided by the invention, the characteristic frequency points which are not sensitive to the change of the charge state but sensitive to the aging degree in the relaxation time distribution map of the battery are innovatively screened, and the multi-parameter fusion assessment model based on the polarization impedance, the ohmic internal resistance and the residual capacity is established; the defect that a single capacity index cannot reflect a historical aging path of the battery is overcome, the future attenuation trend of the battery can be predicted while the current health state is accurately quantified, the influence of charge state fluctuation on health assessment is effectively avoided based on a dual-stability screening mechanism of a characteristic frequency point, the assessment reliability under a complex working condition is improved, and the assessment accuracy is improved. The full-band impedance test is simplified into specific target frequency point measurement, so that the detection time is greatly shortened, and the on-site rapid evaluation requirement is met.

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 provides a kind of air shock wave and fragment composite injury rapid evaluation method and system, it is related to data processing technical field.The method comprises: obtaining explosion working condition parameters;According to the explosion working condition parameters, determine the peak value of air shock wave overpressure;According to the peak value of air shock wave overpressure, determine the damage probability value of air shock wave to personnel;According to the explosion working condition parameters, determine the initial velocity of fragment and the number of fragments;According to the initial velocity of fragment and the number of fragments, determine the damage probability value of fragment to personnel;Comprehensive air shock wave damage probability value of personnel and the damage probability value of fragment to personnel, evaluate air shock wave and fragment composite damage probability value.The application can quickly evaluate air shock wave and fragment composite damage probability value, the evaluation cost is low, the implementation difficulty is small, without complex biological modeling, evaluation time is short, can meet the timeliness demand of emergency treatment, can provide more rapid, convenient decision support for actual rescue.

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.