143 results about "Damage analysis" patented technology

A system and method for intelligently combining CAD, inspection, and building guideline data for intelligently setting roof facet directionality, analyzing repair and replacement decisions and estimating material, material waste and recyclables, material recycling requirements, and repair or replacement costs for building facets is described. One embodiment includes receiving digital inspection data of a building facet of a property; receiving a first layer of geographic-based guideline data; receiving a second layer of geographic-based guideline data; reconciling a conflict between guideline data of the first and second layers of guideline data to reach a resulting guideline data item; determining a repair indicator for the building facet based at least in part on the resulting guideline data item and the digital inspection data; and sending an electronic message, wherein the electronic message includes at least a portion of the digital inspection data and the repair indicator.

The invention discloses a high-temperature creep deformation prediction and creep damage analysis method for a high-chrome steel component. The method comprises the following steps of: establishing a theoretical model, determining material parameters, designing a numerical integration algorithm, carrying out the secondary development of finite element software, carrying out the creep damage analysis of the component and the like. Compared with an existing technical scheme, the method disclosed by the invention is characterized in that a great improvement is carried out, the accurate prediction of the creep behavior and the creep damage of the high-chrome steel component can be realized, and therefore, the method has an important application value in the fields of the security design and the residual life evaluation of high-temperature high-pressure components in a supercritical generator set.

A system and method for combining CAD, inspection, and building guideline data for analyzing repair decisions and selecting waste containers is described. One embodiment includes receiving digital building facet data for a first building facet of a set of one or more building facets; receiving digital inspection data for the first building facet; determining an amount of building material required to repair damage to an area of the first building facet, including determining a first amount of waste building material; determining a repair indicator for the first building facet, the determining a repair indicator based at least in part upon the digital facet data for the first building facet and the inspection data for the first building facet; determining an appropriate waste container based upon the first amount of waste material; and displaying an electronic image of the set of one or more building facets.

A system and method for combining CAD, inspection, and building guideline data for analyzing repair decisions and selecting waste containers is described. One embodiment includes receiving digital building facet data for a first building facet of a set of one or more building facets; receiving digital inspection data for the first building facet; determining an amount of building material required to repair damage to an area of the first building facet, including determining a first amount of waste building material; determining a repair indicator for the first building facet, the determining a repair indicator based at least in part upon the digital facet data for the first building facet and the inspection data for the first building facet; determining an appropriate waste container based upon the first amount of waste material; and displaying an electronic image of the set of one or more building facets.

Estimating storm damage on a large scale includes collecting geospatial data from a plurality of sensors disparately situated in a defined geographic area; collecting the geospatial data occurs before and during a determined or simulated significant weather event. Geospatial property attribute information for each of a plurality of real property structures within the defined geographic area is also provided. A supercomputer estimates a magnitude and duration of significant weather event forces at points associated with each of the plurality of real property structures according to a significant weather event model in order to produce at least one model output data set. The model output data set is applied to the geospatial property attribute information and, based on the application of model output data, damage to the plurality of real property structures is automatically estimated.

The invention relates to a physics-of-failure-based MOS (metal oxide semiconductor) device reliability simulation evaluation method. The method comprises the following steps: first, acquiring related parameters of an MOS device; second, analyzing a failure mode, a mechanism and an influence; third, establishing CFD (computational fluid dynamics), FEA (finite element analysis) and failure prediction models; fourth, carrying out the simulation analysis on temperature, vibration and electrical characteristics; fifth, performing stress damage analysis; sixth, performing cumulative damage analysis; seventh, considering deviation and performing parameter randomization simulation; eighth, obtaining a time vector before a failure by utilizing a competition failure mechanism; ninth, estimating the average starting failure time of the device. According to the method, a potential failure mechanism and a corresponding failure physical model of the device are obtained by analyzing, the using stress of the device is determined by simulating and analyzing, and finally, the average starting failure time of the MOS device under using conditions is obtained by calculating from the possible failure reasons of the MOS device on the basis of a failure physical theory. The method belongs to the technical field of MOS device reliability simulation and evaluation.

The invention relates to a composite material structure failure analysis method based on mesomechanics degradation model, and three dimensional basic material performances of the composite material are input parameters, and material performances of the composite material after damage are obtained by mesomechanics calculating method, and seven common failure modes are taken into consideration, which comprise: fiber stretch, fiber compression, matrix stretch, matrix compression, fiber-matrix shearing, layered stretch and layered compression, and finally the material degradation mode in composite material progressive damage analysis is obtained for carrying out failure analysis of the composite material structure; the invention not only can accurately predict structure failure, but also can predict failure mode and position of the structure. According to the composite material structure failure analysis method based on mesomechanics degradation model provided by the invention, the material degradation model is obtained by theory analysis, thereby connecting macroscopic failure and microscomic mechanism of composite material, and compared to the present material degradation model based on experience or test, time and test cost are substantially reduced.

The invention discloses a ballastless track damage analysis method performing combined solution based on definite element expansion and fatigue analysis. The method includes the following steps that a definite element model of a ballastless track is built; needed loads and boundary conditions are applied to the definite element model, and stress analysis is performed on the definite element model; a stress analysis result is imported into fatigue analysis software, and fatigue performance analysis of the definite element model is performed; based on a definite element expansion method, fracture mechanics parameters of materials of the track structure are defined in the definite element model, service life critical portions obtained during fatigue performance analysis are selected as damaged regions, and generation of damage and a continuous development evolution rule are calculated; a train wheel track coupling model is added on the definite element model, damage is applied to the truck structure, the transverse acceleration, the vertical acceleration, the derailment coefficient and the wheel weigh load reducing rate of a train are calculated after the damage happens to the track structure, and influences of the damage on running of the train are analyzed.

The invention provides a composite structure failure prediction analytical method. The constitutive equation expressing the stress-strain relation of an anisotropic composite under the influences of damp-heat environments is established through the combination of influences of damp-heat strain. Meanwhile, through the combination with an asymptotic damage analysis method, the influences of damp-heat effects on parameters such as rigidity and strength of materials are introduced to the three aspects of a stress analysis mode, a failure criterion and a material degradation model, a UMAT subprogram is complied, packaged and embedded in finite element software, and finally a more perfect asymptotic damage model capable of being used for composite failure analysis under the damp-heat environments is established. Compared with an existing failure asymptotic damage analysis method for various composite structures, the influences of damp-heat effects on failure behaviors of anisotropic composites are considered, the damage process of materials under damp-heat environments can be accurately expressed, and the composite structure failure prediction analytical method is suitable for prediction of simulation and strength of the composite structure damage process under the condition that temperature, humidity and other conditions are more complex.

The invention provides an armored equipment damage rule analysis method based on a simulation experiment. The method comprises the following steps: obtaining a hit position in which each fight happens in a combat simulation test based on a missile and target space intersection model of an equipment unit; establishing a battle effect simulation model of typical ammunition to a typical part of typical equipment, correcting the real equipment battle effect by means of live ammunition, and determining the reasonability of the model and parameters; establishing a target non-uniform segmentation model based on a K-Means spatial clustering algorithm, optimizing the experimental design of damage analysis of parts in the equipment, and determining damaged parts and equipment damage level under each battle condition; and establishing a damage database matching model, and establishing finite-state off-line damage simulation and an infinite-state on-line real-time matching relationship by adopting a database mapping method, so that the application query is facilitated.

The invention discloses a method of detecting the asphalt pavement structure damage based on fiber grating sensors. The method comprises the following steps: 1) fixedly installing one or more fiber grating sensors on the surface of a rut sample; 2) setting test parameters for accelerating loading, simulating the formation of a rut trough accelerating loading tests and monitoring the fiber grating sensors in real time; 3) monitor strain values of the fiber grating sensors and making the relation curve graph between the number of load and the surface strain values of the sample; and 4) performing the sample structure damage analysis, that is, analyzing the deformation and damage degree of the sample through the surface strain values. The method for detecting the asphalt pavement structure damage is simple in operation and high in feasibility, and is of great theoretical significance on the design and maintenance of pavement structures. The surface fiber grating strain sensors are adopted to monitor the asphalt pavement strain response. The process is simple, implementation is easy, and recycling is realized.

The invention provides a car damage judgment method, a server and a storage medium. The method comprises the following steps: receiving a loss assessment request and a to-be-assessed picture uploadedby a user; and then analyzing the to-be-assessed picture by using a pre-trained classification model to acquire classification information of each part of a car in each to-be-assessed picture, and then judging a shooting angle of each to-be-assessed picture by using a predetermined shooting angle judgment rule according to the classification information of each part of the car in each to-be-assessed picture; and finally, combining the shooting angle and the classification information of the car part, analyzing the damage condition of each part of the car in each to-be-assessed picture by usingthe pre-trained loss assessment model, and outputting a damage analysis result of each to-be-assessed picture. By using the card damage judgment method provided by the invention, the manpower and material resources of the car insurance claim settlement loop can be effectively reduced, and the car damage exploration accuracy and the recall ratio can be improved.

The invention discloses a building seismic damage analysis method, and relates to the field of seismic damage assessment. The method comprises the following steps of: setting a contour sampling interval, extracting a point cloud set of different height of a building, then, obtaining a contour section profile line through a convex hull algorithm, and converting three-dimensional point cloud of the building into a two-dimensional contour polygon sequence; extracting shape discrete parameters of the building; and calculating standard deviation of building shape parameters, and through a Fisher discriminant analysis, performing statistics on the standard deviation obtained in a step S22 or a step S23, thereby obtaining a discrimination function corresponding to three types of degree of damage of the building. According to the invention, edge extraction, shape clustering and discriminant analysis are fused, and problems in building contour polygon sequence extraction, shape discrete parameter calculation, irregular building block segmentation and damage analysis are solved effectively.

A method of evaluating durability of a torsion beam rear axle on basis of road load includes: acquiring a stress concentration position of a workpiece, selecting a plurality of measurement points from the stress concentration position, measuring strain load of the workpiece on a typical pavement of a test field, analyzing measured load spectrum to obtain frequency distribution of each level of load, subjecting each measurement point to damage analysis and comparison by the linear cumulative damage method according to a workpiece material standard S-N curve, acquiring a test point with highest relative damage by comparison and analysis, correcting the workpiece material standard S-N curve on basis of the test point, estimating a workpiece S-N curve, establishing a workpiece fatigue life prediction model according to the workpiece S-N curve, and establishing a durability evaluation index according to the workpiece S-N curve.

The invention discloses a dynamic forecasting method for a street tree city block wind disaster. The method comprises the following steps of: firstly, acquiring a wind speed acted on street trees to provide a necessary condition for street tree wind disaster damage analysis, constructing a fine forecasting technique of a block wind environment, and forecasting a horizontal wind speed acted on each street tree to provide a necessary condition for structural analysis; secondly, constructing a wind disaster damage model of the street trees, and implementing the damage analysis of the wind environment on the street trees based on the characteristic parameters of the street trees and the wind speed; and finally, forecasting the wind disaster damage level of the block street trees according to the damage level estimation of the street trees, and dynamically displaying, querying and analyzing the forecasting result so as to realize forecasting of city block street tree wind disaster loss. The established dynamic forecasting technology for the city block street tree wind disaster damage has guide effect on forecasting and early warning of the street tree wind disaster of an urban typical functional area, is expected to enhance the wind disaster dealing technology and capacity of the modern city, and provides a support for wind disaster defense and decision.

The invention provides a vehicle damage assessment method and system, and relates to the technical field of vehicle damage assessment. The method comprises the steps of obtaining identity informationof a damaged vehicle, and building a point cloud model of the damaged vehicle; according to the identity information of the damaged vehicle, searching for a vehicle model library to obtain model information matched with the identity information; according to the point cloud model and the model information, performing calculation to obtain a deformation value of each point cloud in the point cloudmodel; and according to the deformation value of each point cloud in the point cloud model, obtaining vehicle damage depth information and area information through damage analysis. The technical problem of incapability of obtaining depth information of a damaged part due to low accuracy caused by performing vehicle damage assessment through obtaining a remote image of a vehicle accident site at present is solved; and the technical effect of performing accurate damage assessment on the damaged vehicle is achieved.

The invention provides a disaster degree assessment method and system and electronic equipment. The method is suitable for disasters with natural disasters being major causes. The method comprises the steps of acquiring data of a disaster; selecting at least one similar case according to similarity judgment indexes; assessing at least one similarity between the similar cases and the disaster to acquire the weight of each similar case; and obtaining an assessment result of the disaster through a weighted comprehensive assessment model. Through the disaster degree assessment method, multi-dimensional stereoscopic damage analysis is performed on an affected region, and rescue and reconstruction efficiency after the natural disaster is improved.

The information processing device of the present invention includes a damage information generation unit that generates damage information including a vector obtained by vectorizing damage extracted from an image of an inspection target structure, a damage analysis unit that analyzes at least the vector in the damage information of the inspection target structure on the basis of a progress model indicating a correspondence relationship between a damaged state of a model structure and a degree of damage and acquires a degree of damage of the inspection target structure corresponding to the damaged state of the inspection target structure, and a damage progress speed acquisition unit that acquires a damage progress speed of the inspection target structure by comparing a plurality of degrees of damage respectively acquired on the basis of a plurality of images with different inspection times of the inspection target structure.

The invention discloses an insulator detection UAV and method based on an infrared thermal image and visible light, and relates to the technical field of power transmission and transformation line maintenance equipment. The insulator detection UAV comprises a UAV, a detection module, a wireless transmission module, and a ground station. The UAV is used to control the detection module to move around an insulator string in the air. The detection module includes an infrared camera and a visible light camera, and the wireless transmission module includes a sky-side wireless transceiver unit and aground-side wireless transceiver unit. The ground station is connected with the ground-side wireless transceiver unit, and includes a degradation analysis unit, a damage analysis unit and a pollutionlevel identification unit, and analyzes whether the insulator string has internal deterioration and external damages or not, and identifies the pollution level of the insulator. The UAV can realize long-distance non-contact charging detection of the internal deterioration, external damage and pollution level of the insulator string, improves the detection efficiency and accuracy, improves the safety of the testing personnel and reduces the working intensity.

The invention provides a method for preparing a basalt fiber cloth-filled ultra high-speed impact protective structure material and relates to the method for preparing an impact protective structure material. The method solves the problems of difficultly obtained materials such as Kevlar and Nextel used in the conventional N / K-filled Whipple protective structure and high cost, and poor impact and damage resisting protective performance of the materials related in a thesis 'Damage Analysis for Basalt Fiber Cloth Whipple Protective Structure Ultra High-speed Impact'. The method comprises the following steps of: 1, spraying glue on basalt fiber cloth, and then drying the basalt fiber cloth; and 2, placing the dried basalt fiber cloth into a Whipple protective structure to obtain the material. The basalt fiber cloth is easy to obtain and has low cost which is only 35 yuan / kg, and good impact and damage resisting protective effect after the basalt fiber cloth-filled ultra high-speed impact protective structure material is prepared by using the basalt fiber cloth; and compared with the N / K filling Whipple protective structure, the basalt fiber cloth-filled ultra high-speed impact protective structure material has equal or better performance.

The invention discloses a method for analyzing microscomic mechanical damage evolution of a fan blade composite material. Parametric modeling of the RVE structure model of the representative volume unit is achieved, the accuracy of damage initiation and crack generation of the described composite material component phase and the accuracy of the expansion evolution process are ensured, and for theboundary condition of the RVE model, an Abaqus-Python interface is utilized, periodic boundary conditions of the RVE model are quickly and smoothly applied, and a reasonable microscopic field quantityis obtained; according to the invention, isotropic damage of the matrix is considered; a single damage variable influencing the material rigidity is used; an interface phase is introduced into microscopic damage analysis of a composite material, a damage model is compiled into a UMAT material subprogram in combination with a subprogram interface of Abaqus finite element software, and simulation verification is carried out on the damage process of the blade material under the transverse stretching effect in Abaqus / Standard. The trend and expansion condition of microscopical volume unit interface cracks under the action of transverse tensile load and the influence of periodic temperature on the mechanical response are simulated.

The invention provides a mine geological environment water and soil detection index real-time transmission analysis system which comprises an input system which comprises a scanner scanning ore map, aremote sensing image, a digital ore map, surveying and mapping data, literature data and the like and needs to perform image correction and registration for scanner and remote sensing image input; the database management system which comprises a spatial database and an attribute database, the spatial database and the attribute database establish a corresponding relation through mutual matching, and the database management system further comprises a model library and graphic editing which are established according to mine environment characteristics and are suitable for locality; the functionsystem which has the following functions of mineral resource exploitation evaluation, land condition damage analysis, mining area surface subsidence observation, vegetation degradation condition analysis, mining area water body pollution analysis and mining area atmospheric pollution monitoring; and the output system which is used for providing a thematic map and analysis result data for data analysis through the mine geological environment water and soil detection index real-time transmission and analysis system, and finally forming a subject research report according to the graph and the result data.

The invention discloses a detection method of damage of one-way silicon carbide fiber toughening silicon carbide ceramic matrix composite in oxidation environment and aims to solve the technical problem that the prior detection method of damage of the one-way silicon carbide (SiC) / SiC composite is bad in accuracy. The technical scheme is that an oxidizing reaction kinetics equation is applied to calculate the thickness of oxidation loss of a carbon interface in the composite material microstructure oxidation process and acquire a geometric model under different oxidation times of the composite microstructure; a finite element model of the composite microstructure after being oxidized is built to conduct finite element calculation of microcosmic stress; and maximum stress strength criterions are adopted to detect damage conditions of materials. The detection method of damage of the one-way silicon carbide fiber toughening silicon carbide ceramic matrix composite in the oxidation environment is simple and high-efficiency from the molding process to the calculation process, overcomes the defects that the prior experimental method is high in cost and long in time consumption, acquires the microcosmic stress in the microstructure of the composite after being oxidized with the help of the strong finite element analysis function of ANSYS; improves accuracy of damage analysis of the one-way SiC / SiC composite and solves the problem that the mesomechanics model is low in accuracy.

The present invention discloses a risk analyzing and processing method based on a GIS. According to the method, an information collection system can be used to collect emergency information, field environmental information and our condition information, through information processing, a field situation map is rapidly and automatically plotted in the GIS, and the danger range influenced by an emergency event is determined. Combined with field electromagnetic situation information, meteorological and hydrological information, urban traffic condition information, and urban population information, through important goal intelligent screening, important goal damage analysis, important goal secondary disaster analysis, important goal evacuation region analysis and rescue team assembly deployment analysis, an emergency rescue decision suggestion report and an emergency rescue integrated situation map are generated visually, and a decision support is provided for a command authority to analyze and judge a situation, make up minds and command in real time.

The invention provides a flood risk dynamic display and analysis system, which relates to the technical field of disaster monitoring, and comprises a data acquisition module for acquiring water and rain condition data of a to-be-monitored area and counting accumulated water and rain condition data of the to-be-monitored area within a preset time; a data analysis module used for inputting the boundary condition set by the user and the accumulated water and rainfall condition data into a real-time analysis model under the condition that the accumulated water and rainfall condition data is greater than a preset threshold value to obtain a flood propulsion evolution process in the to-be-monitored area; a risk map drawing module used for drawing a flood propulsion evolution process and risk index data on a water conservancy base map based on a geographic information system to obtain a flood risk map; and a disaster damage analysis module used for generating a disaster analysis report basedon the flood risk map, the inundation area economic information and the flood influence analysis index, and solving the technical problems that in the prior art, professional personnel are needed to participate in drawing the flood risk map and analyzing the flood risk, so that the manufacturing period is long, and timeliness is lacked.

Systems, methods, and computer-readable media, are disclosed in which a variety of data describing the condition of an object can be obtained and probabilistic likelihoods of causes and / or value of damages to the object can be calculated. In a variety of embodiments, data obtained from third-party systems can be utilized in these calculations. Any of a number of machine classifiers can be utilized to generate the probabilistic likelihoods and confidence metrics in the calculated liabilities. A variety of user interfaces for efficiently obtaining and visualizing the object, the surrounding geographic conditions, and / or the probabilistic likelihoods can further be utilized as appropriate to the requirements of specific applications of embodiments of the invention.

The invention relates to a method of a layer-by-layer damage analysis on rock. The method comprises: step one, region division is carried out on a cross section; step two, a CT average value CT Tave (N) of all sample loops in an initial state is calculated; step three, n groups of freezing-thawing cycle tests with different numbers of times are carried out on a rock sample, and a CT average value CT Tave (N) nth group of all sample loops after all groups of freezing-thawing cycle tests is calculated respectively; and step four, data obtained at the step two and the step three are arranged, a damage analysis is carried out the rock, and a concentrated part with rock sample damages caused by the freezing-thawing cycle tests is determined. According to the method, problems that a CT average value covering all points can be not be obtained by the existing method and the result is not accurate can be solved; the damge degree of the rock can be reflected precisely; the damage degree in an infinitely small damage range can be obtained; the operation is simple and frequent operation is avoided.