19 results about "Damage analysis" patented technology

Systems and methods for natural disaster damage analysis. Aerial images are converted (710) into a set of property images. The property images are then clustered (720) using vector embedding. Clustering the property images includes classifying the property images into separate categories, determining a symmetric similarity between the property images in each category, and clustering the property images based on the similarity. A first artificial intelligence agent extracts (730) damage information from a set of representative members of the clustered property images, where the damage information includes damage level information and damage reasoning information. The damage information is then stored (740) in a datastore with at least two databases, where at least one of the databases stores damage reasoning information and at least one other one of the databases stores damage level information.

Systems and methods for natural disaster damage analysis. Aerial images are converted into a set of property images. The property images are then clustered using vector embedding. Clustering the property images includes classifying the property images into separate categories, determining a symmetric similarity between the property images in each category, and clustering the property images based on the similarity. A first artificial intelligence agent extracts damage information from a set of representative members of the clustered property images, where the damage information includes damage level information and damage reasoning information. The damage information is then stored in a datastore with at least two databases, where at least one of the databases stores damage reasoning information and at least one other one of the databases stores damage level information.

The invention discloses an ultra-low / ultra-low permeability reservoir blockage determination method based on a sidetrack coring technology. The method comprises the following steps that 1, a rock core sample at a preset position is obtained; 2, recording and numbering the positions of the rock core samples; 3, the permeability and porosity of the obtained rock core samples are measured respectively, the permeability and porosity damage degree of each rock core is calculated according to the original permeability and porosity of a reservoir, and the permeability damage and the horizontal distance from the rock core to a shaft and the porosity damage and the horizontal distance from the rock core to the shaft are calculated; and 4, determining the damage space distribution condition of the rock core sample according to the data of the permeability damage degree and the porosity damage degree obtained in the step 3, and completing the determination of the blockage position of the permeability reservoir. The invention belongs to the technical field of oilfield development and detection, and solves the problems that a reservoir damage analysis method in the prior art is relatively large in limitation, cannot accurately reflect the pore damage phenomenon of an ultra-low / ultra-low permeability reservoir, cannot directly carry out experimental analysis from the microscopic level of the reservoir, and is difficult to measure the damage degree of the pore level of the reservoir.

This invention relates to the field of bridge structural safety inspection technology, and in particular to a bridge damage assessment method, system, and medium based on a visual segmentation model. The method includes: acquiring prior structural information and post-damage images of the bridge to be inspected; matching the image to be inspected generated based on the post-damage images with the prior structural information and a preset damage semantic knowledge base to generate multimodal prompts; inputting the fused multimodal prompts and the image to be inspected into a visual segmentation model with input parameters frozen, and adaptively iterating to obtain pixel-level segmentation masks for each damage candidate region; superimposing each pixel-level segmentation mask onto the image to be inspected, and inputting it along with the damage analysis prompt template into a visual language model to generate a structured damage assessment report. This invention utilizes the general segmentation capability of the visual segmentation model to achieve rapid and accurate pixel-level segmentation and recognition of sudden bridge damage, and automatically generates a structured damage assessment report.

The application discloses a MEMS damage mode rapid analysis method and system, and aims to solve the problems that a traditional MEMS mode analysis method is difficult to truly reflect the influence of service damage, or the calculation cost of full model damage analysis is too high. The method comprises the following steps: performing high-fidelity damage evolution simulation on a MEMS structure; performing CB mode reduction of a damage beam and constructing a transfer matrix; performing multi-body system discretization and constructing a MEMS system transfer equation; and solving the vibration characteristics of the MEMS system. Through a series of mutually supporting technical steps, the application systematically solves the core contradiction existing in the MEMS damage mode analysis in the prior art, and brings substantial progress and beneficial effects in the aspects of physical reality, calculation efficiency, method universality and engineering practicability.

The application discloses a method for quantifying and analyzing the amorphization rate of precipitates in steel materials, and belongs to the technical field of material irradiation damage analysis. The method is based on obtaining corresponding transmission electron microscope dark field images of steel material samples under multiple different irradiation doses, identifying the ROI of the two-dimensional projection area of the precipitates, extracting the amorphous area, calculating the relative amorphization fraction, fitting the evolution relationship of the relative amorphization fraction with the dose D, and extracting the characteristic dose corresponding to the preset relative amorphization fraction as the amorphization rate index. The quantitative comparison of the amorphization behavior of the precipitates under different variables such as temperature, size and irradiation conditions can be realized, and the method is suitable for the research on irradiation damage and structural stability.

This invention relates to the field of electrical digital data processing technology and discloses a combined bridge interface damage time-varying analysis method and system, comprising: acquiring slip sequence and temperature gradient data of the joint interface; extracting high-frequency dynamic response signals through dynamic residual filtering; calculating displacement compensation based on thermal stress feature matrix, removing the compensation from the dynamic response signal to determine the net slip characteristic value; mapping the slip spatial distribution difference to a topological feature vector using an interface stress distribution mapping operator; analyzing the unsteady oscillation characteristics of the dynamic response signal and determining the cementation failure probability; and outputting damage analysis indicators in combination with the topological feature vector. This invention achieves accurate decoupling of environmental thermally induced displacement interference and structural damage signals, eliminates the influence of non-damage factors, captures the critical point of stiffness degradation using the interface topological evolution mechanism, improves the reliability of early interface void identification, and supports bridge safety assessment.

The application provides a kind of intelligent bridge repair system, including detection terminal, cloud service platform and management terminal;Wherein, detection terminal includes the image acquisition module on mobile device, image acquisition module is used to collect bridge surface image data in the process of mobile device patrol detection, and the bridge surface image data collected is transmitted to cloud service platform;Cloud service platform is used to carry out image analysis on bridge surface according to the bridge surface image data obtained, and the bridge damage analysis result obtained is transmitted to management terminal;Management terminal is used to remotely control on-site repair terminal according to the bridge damage analysis result obtained, so that on-site repair terminal can reach bridge damage site, and the damaged part is repaired.The application helps to reduce the working strength of the operator outdoors, and at the same time helps to reduce the labor cost of large-scale bridge comprehensive detection and repair, improves the efficiency and intelligent level of bridge repair.

This invention discloses a method for calculating the energy release rate of delamination damage propagation in composite materials based on shell elements, belonging to the field of composite material delamination damage modeling and efficient energy release rate calculation. The method includes: deriving an equivalent energy release rate calculation method based on energy differential, and proposing a simplified formula for calculating the structural energy release rate under the linear elasticity assumption of the material. Undamaged regions are established using multi-layered plate and shell elements after delamination, and structural damage analysis models are constructed under different damage sizes, structural load conditions, and displacement boundary conditions. The structural response under different damage sizes is calculated and a database is formed. The relationship between damage size and structural strain energy or overall flexibility and stiffness is fitted using a polynomial isofunction fitting method, establishing a reduced-order model for calculating the energy release rate of delamination damage propagation with damage size and external load as inputs. This invention is used to quickly calculate the energy release rate of delamination damage propagation in composite materials, supporting rapid online safety assessment of composite structures.

This invention discloses an efficient method for testing the impact performance of composite materials based on multimodal data, belonging to the field of composite material testing technology. It solves the technical problem that existing technologies fail to consider the impact buffering capacity of composite materials themselves, leading to inaccurate impact performance evaluation. This invention achieves precise spatiotemporal alignment of multimodal data using time-series data as a benchmark and constructs an impact matrix. The test data is then vectorized and bound to the impact matrix to form an impact correlation matrix. Based on this matrix, time-series visual data is arranged to obtain deformation sequences, calculate tolerance data, and buffering data, integrating them to form damage analysis results. Subsequently, the core parameters in the damage analysis results are normalized and weighted. The comprehensive impact tolerance value and the comprehensive deformation damage value are calculated using preset formulas and fused to obtain performance evaluation parameters. Finally, the performance evaluation parameters are matched with preset rating thresholds to output standardized impact performance test results.

This application discloses a method, system, device, medium, and product for predicting the fretting fatigue life of turbine disk-guide disk rotor systems, relating to the field of damage analysis of turbine disk-guide disk rotor systems. The method includes: acquiring the geometry and metallic material of the turbine disk-guide disk rotor system, and further constructing a hazardous area identification model; identifying hazardous areas of the turbine disk-guide disk rotor system based on the hazardous area identification model; determining the corresponding surface optimization process based on the metallic material and optimizing the surface condition of the hazardous areas to obtain optimized hazardous areas; further constructing a life prediction model; and determining the fretting fatigue life of the turbine disk-guide disk rotor system based on the life prediction model. This application can accurately predict the fretting fatigue life of turbine disk-guide disk rotor systems.

The application discloses a kind of underwater vehicle composite structure damage analysis methods considering delamination defect, belong to material damage determination technical field.The method is first based on continuum mechanics theory, constructs the composite orthotropic constitutive model considering humidity effect;By introducing two groups of damage variables in layer and interlayer, respectively matrix / fiber failure and delamination failure are represented;For matrix / fiber failure, three-dimensional Hashin criterion is used as damage initiation criterion, and based on linear displacement damage evolution law and equivalent strain assumption, the stress-strain relationship of coupled damage variable is derived, for delamination failure, the damage initiation and evolution process of interfacial damage is described by using cohesive zone model;Through the secondary development of finite element software subroutine, the damage evolution simulation and residual strength prediction of the structure containing initial delamination defect under static load are realized, which can accurately reveal the damage propagation path and failure mechanism.

The present disclosure relates to a method for identifying and / or evaluating a damage in an object, comprising the steps:acquiring at least two images of the object, electronically constructing a three-dimensional model of the object, and analyzing the three-dimensional model of the object by means of a convolutional neural network to identify and / or evaluate ast least one area of damage to the object. Another aspect of the invention relates to a system for performing such a method.

The application belongs to the field of computational mechanics and engineering simulation, and discloses a semi-homogeneous numerical analysis method and system for interface damage analysis of porous material, which comprises the following steps: step one, a discretized material point numerical model containing different material phases and physical interfaces is established, material parameters are input, and the cross-interface interaction bonds connecting different material phases are identified through space distance and phase attribute determination; step two, based on the identified cross-interface interaction bonds, an interface defect characterization algorithm is introduced to randomly break a given proportion of the cross-interface interaction bonds to characterize the original interface defects; step three, based on the generated defect-containing cross-interface bond set and pure phase bond, the force state based on the defect-containing bond set and phase identification is solved; and step four, based on the bond type identification, dynamic integration and multi-phase microscopic elastic-brittle fracture evolution are carried out.

This invention discloses a method and system for analyzing damage to grotto murals based on digital image correlation theory. The analysis method includes acquiring images of the grotto murals before and after damage; obtaining the deformation field of the grotto murals by combining digital image correlation theory and the images before and after damage; deriving the strain field of the grotto mural surface based on the deformation field; obtaining the stress distribution of the grotto mural surface based on the strain field of the grotto mural surface and the regional characteristic rock sample information of the grotto mural; and predicting the damage to the grotto murals based on the strain field and stress distribution of the grotto mural surface. This invention can integrate mechanical response and image measurement data to achieve a non-contact, structural mechanics-driven damage identification process, which is particularly suitable for the structural diagnosis of non-homogeneous cultural heritage mural objects. This invention is a non-contact, non-destructive, long-term method for monitoring the condition of murals, which is particularly suitable for complex and fragile cultural relic preservation work.

This invention discloses a method for quality management of digitized real estate archives based on end-to-end intelligent verification, belonging to the field of digital archive management technology. The method includes: loading the PDF of the archive to be digitized; performing damage analysis on the PDF to obtain damaged areas and damage types; extracting archive data attributes of the damaged areas based on business type labeling; matching named entities of image enhancement algorithms from an enhancement algorithm configuration library based on the damage type; collecting an image enhancement sample set with the archive data attributes and image enhancement algorithm named entities as constraints, and statistically analyzing the proportion of content tampering samples; when the proportion of content tampering samples is less than a tampering sample proportion threshold, performing quality enhancement processing on the damaged areas of the archive according to the image enhancement algorithm named entities. This invention solves the technical problem of poor damage processing effect in the digitization process of real estate archives in the prior art.

This invention discloses a method and system for analyzing concrete wind erosion damage, relating to the field of concrete structure damage monitoring technology. The method includes: acquiring multimodal raw data from concrete test blocks; inputting the multimodal raw data into a multimodal feature fusion dynamic attention analysis model to generate corresponding point cloud geometric features, physical property features, and environmental dynamic features; calculating the similarity between each modal feature and a damage reference feature, and combining this with a scene dynamic factor dynamically adjusted by the complexity of current environmental parameters to obtain the attention weight of each modal feature; fusing the modal features using a combination of weighted summation and feature-by-feature interaction to output a global fused feature; and performing damage detection, damage prediction, and damage source analysis based on the global fused feature to output damage analysis results. This method can accurately capture the microscopic wind erosion damage features of the concrete surface, adapt to complex dynamic wind and sand environments, and output reliable damage analysis results.

The application discloses a rock damage quantification method based on SEM electron microscope image recognition and application, and belongs to the technical field of rock material micro-characterization and intelligent recognition. In view of the problems that the existing rock damage quantification methods are generally out of touch with micro-evidence, are difficult to quickly review, and are insufficient in sample comparison ability, etc., the application extracts micro-damage characteristic parameters of a rock sample to be measured through an SEM electron microscope image, and then constructs a mapping relationship between the micro-damage characteristic parameters and an equivalent damage variable, so that unified dimension characterization and quantitative evaluation of the rock micro-damage state are realized. In addition, the application also determines the weight coefficients of different micro-damage characteristic parameters in the equivalent damage variable by minimizing the difference between the damage variable calculated by real measurement and the equivalent damage variable, so that the calculation accuracy of the equivalent damage variable is significantly improved, and a reliable intelligent technical means is provided for rock mass engineering and material damage analysis.