163 results about "Structural analysis" patented technology

The invention belongs to the technical field of seismic structure models, and discloses a seismic structure model construction method and system, and the method comprises the steps: constructing a database; constructing a three-dimensional digital elevation model; constructing a three-dimensional geological structure model; constructing an earthquake three-dimensional earthquake structure model; constructing a three-dimensional P-wave velocity structure model; and analyzing a pregnancy and earthquake environment. The three-dimensional seismic geologic model of the Changning seismic region is constructed by taking the Changning seismic region in southern Sichuan as a modeling object and integrating superficial geology, landform (DEM), seismic fine positioning data and main fracture distribution, a deep seismic detection result, a two-dimensional seismic reflection profile, drilling data and the like, the spatial distribution and structure of the three-dimensional seismic geologic model are finely determined, and the three-dimensional seismic geologic model of the Changning seismic region is constructed. Analysis of deep and shallow tectonic deformation characteristics and tectonic styles has important guiding significance for discussing the earthquake-pregnancy environment and evaluating the earthquake risk of the deep and shallow tectonic deformation.

A systematic framework for optimizing multi-stage axial compressor disk designs in gas turbine engines. By combining finite element analysis (FEA), Design of Experiments (DOE), and optimization algorithms of multi-objective genetic algorithm (MOGA), the method balances stress, deformation, and mass to enhance structural performance. The six-step process includes blade modeling, parameterizing disk geometry, structural analysis using FEA, developing functional relationships, applying optimization algorithms, and generating manufacturable 3D disk models. This approach reduces weight, improves fuel efficiency, and adapts to various compressor designs and materials, enhancing the overall performance of gas turbine engines.

The present invention discloses a method for predicting the static behavior of a bridge based on dynamic loading, comprising the following steps: establishing a full-bridge structural analysis model according to the design data of the existing bridge; conducting dynamic loading tests on the existing bridge to obtain the bridge dynamic response values; performing sensitivity analysis on each design parameter in the initial structural analysis model to obtain and determine the key design parameters to be corrected that affect the bridge structure; based on the uniform design sampling method, using machine learning intelligent algorithms, constructing training samples of the key design parameters to be corrected and establishing a surrogate prediction model; correcting the initial structural analysis model using the prediction results of machine learning and intelligent algorithms; predicting the static behavior of the bridge based on the corrected structural analysis model; introducing an error analysis method to evaluate the prediction results of the bridge static force. The beneficial effects of the present invention are: reducing the cost of the bridge static load test, reducing the damage to the bridge's own structure, and having high prediction result accuracy.

The invention relates to the field of welding technology and finite element analysis, and particularly discloses a welding simulation method and system based on sub-field modeling. According to the system, the welding area is divided into a plurality of sub-fields, so that the simulation precision and efficiency are improved. The system comprises four main parts: gridding, heat source setting, thermal analysis and structural analysis. And the gridding module realizes fine grid division of the complex geometry by utilizing a sub-field technology and combining isotherm information. The heat source setting module accurately defines heat input conditions in the sub-fields according to welding process requirements. The thermal analysis module simulates the change of a temperature field in the welding process and provides detailed sub-field temperature distribution data. And the structural analysis module analyzes stress and deformation caused by welding based on the thermal analysis result, and particularly focuses on stress transfer and deformation behaviors among the sub-fields. According to the whole system, the welding simulation precision is greatly improved, manual intervention is reduced, and powerful technical support is provided for optimization of a complex welding process.

The invention belongs to the field of building structure analysis, and discloses a BIM-based building support structure stress analysis method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining design data of a support structure, and generating a three-dimensional initial model containing geometric features, physical attributes and boundary conditions through a BIM technology; extracting material characteristics and environmental action data from the three-dimensional initial model, and integrating physical attributes and boundary conditions through a finite element analysis method to obtain a stress calculation model; according to the stress calculation model, performing stress-strain analysis on the model by adopting a finite element analysis method, and updating the stress calculation model to obtain a unified model; and calculating stress distribution of the supporting structure of the unified model through a simulation analysis algorithm to obtain preliminary stress result data, extracting a deviation value from the stress result data, and if the deviation value is greater than a preset threshold value, recalculating by adjusting parameters of the unified model until the deviation value is less than the preset threshold value to obtain a final stress analysis result.

The invention relates to the technical field of deformation monitoring, in particular to a computer-aided construction equipment deformation monitoring method, which comprises the following steps: creating a scaffold BIM model, and collecting monitoring data at a plurality of monitoring points in a scaffold through a sensor, analyzing stress and deformation conditions by using the monitoring data corresponding to the monitoring points to obtain a plurality of monitoring clusters and deformation parameters of each monitoring point; the spatial position information of the monitoring points in the scaffold BIM model and the monitoring clusters are combined to carry out topological structure analysis on the monitoring points in the scaffold BIM model, so that the size of a grid in a finite element model of the scaffold is adjusted, finite element analysis is carried out, and a deformation monitoring result corresponding to the scaffold is obtained. And early warning is carried out based on the deformation monitoring result. According to the method, by accurately adjusting the size of the grids in the finite element model, the calculation efficiency and the monitoring precision can be effectively balanced when deformation monitoring is carried out on large-scale construction equipment such as scaffolds.

The invention discloses an unmanned aerial vehicle fire extinguishing and rescue system which comprises an emergency command module, a communication navigation emergency command module, an electromagnetic gun window breaking module, a fire extinguishing strong detection module, a rapid rescue module, a self-adaptive building structure analysis module, a self-adaptive deformation structure module and a reconnaissance aircraft module. The invention breaks through the limitation of the traditional fire-fighting operation, solves the problems of height limitation and indoor complex environment maneuvering of the traditional aerial ladder truck, obviously improves the fire rescue efficiency of the super high-rise building, reduces the manual intervention delay, improves the utilization rate of golden rescue time by more than 40%, integrates the functions of window breaking, fire extinguishing and medical rescue, and improves the safety of the super high-rise building. Through millimeter-wave radar life monitoring and precise air-drop, the exposure risk of firemen and trapped persons is reduced, and intelligent and automatic iteration of fire-fighting equipment is promoted.

The invention relates to the field of bridge damage rapid assessment, in particular to a bridge damage rapid assessment method based on residual displacement, which comprises the following steps: determining the section structure and stress condition of a pier; calculating the yield curvature and the limit curvature of the damaged section; according to the yield curvature and the limit curvature, respectively calculating the maximum displacement of the pier top when the damaged section yields and is damaged; building a pier column fiber unit model or a finite element model, applying forces corresponding to the maximum displacement of the pier top when the damaged section is yielded and damaged to the pier top, and then unloading to obtain the residual displacement when the damaged section is yielded and damaged; and the post-disaster bridge pier top residual displacement is measured on site and compared and evaluated. According to the method, the relation between the residual displacement and the section damage degree is established, the bridge damage rapid assessment method is provided, compared with an investigation comprehensive assessment method, the method is more objective, compared with a load test assessment method, the method is more economical, compared with a traditional structure analysis and calculation assessment method, complex initial defects do not need to be established, and calculation is simpler and more convenient.

The invention discloses an open-pit mining side slope anti-skid treatment method, which belongs to the technical field of side slope treatment, and comprises the following steps: S1, probing main factors causing a landslide through hydrogeology, engineering geology and structural analysis in combination with an exploratory well mode; s2, removing the slippery mass or too loose rock-soil mass in the pre-slide from top to bottom, expanding the boundary of the stope, and enabling the slope angle of the renovation bench to be smaller than the internal friction angle of the rock mass at the position; s3, a pre-splitting blasting technology is adopted, the influence of blasting vibration is reduced, and the stability of slope rock mass is improved; s4, surface water is prevented and drained, and underground water is dredged; s5, carrying out comprehensive surface protection on easily-weathered and relatively-broken parts of the side slope rock; s6, a hole pile and well pile combined supporting and retaining project is arranged on the lower middle portion of the new sliding body and the lower middle portion of the old sliding body; s7, carrying out stability monitoring and evaluation after slope improvement; s8, restoring vegetation after treatment; after a series of treatment, the moving speed of the landslide is reduced, the rock mass at the upper part of the side slope can be in a relatively stable state, and a very good side slope treatment effect is achieved.

The invention discloses a non-linear analysis method in a multi-arch structural plane considering translation and rotation of arch feet. The non-linear analysis method comprises the following steps: 1) deducing a geometric non-linear equilibrium equation in the multi-arch structural plane under the action of a vertical uniformly distributed load; 2) introducing a multi-arch boundary condition, and deducing to obtain a vertical displacement approximate analysis in a balance path considering translation and rotation nonlinearity of an adjacent arch structure; 3) further obtaining a relational expression between the dimensionless load of the multiple arches and the dimensionless load parameters; 4) deducing a multi-arch nonlinear branch point buckling equilibrium differential equation, and obtaining a critical load approximate analysis according to an internal force condition of multi-arch branch point buckling; 5) deducing to obtain approximate analysis of the multi-arch nonlinear jump buckling critical load.By means of the method, complex solving through finite element software can be avoided, and the calculation cost and workload of multi-span arch structure analysis are reduced.

The invention relates to a large document analysis model, a training method and a multi-task document structured analysis method, which are suitable for the fields of artificial intelligence, computer vision and natural language processing. The model comprises a visual coding module used for extracting an image feature vector from a document page image, and the extraction of the image feature vector comprises the step of capturing a dependency relationship on a spatial dimension and a channel dimension by adopting a double attention module; the visual feature projection module is used for mapping the image feature vector extracted by the visual coding module from a visual feature space to a feature space of the text decoding module to generate a visual projection feature vector; and the text decoding module is a large language model based on a Transform decoder architecture, and is used for generating document space layout information or document content corresponding to the document processing task on the document page image based on the visual projection feature vector and the token sequence after word segmentation of the cue word of the document processing task.

The invention belongs to the technical field of modular buildings, and particularly relates to a simplified modeling and optimal design method for a transverse connection node of a modular building. Comprising the steps that 1, parameters of a test piece are obtained, modeling is conducted through a layered shell unit, key calculation data are obtained, and a constitutive relation of a double-node unit is constructed; step 2, establishing an elastic-plastic finite element model of the high-rise modular shear wall structure; 3, carrying out elastic-plastic analysis on the model, recording structural response, and calculating damage parameters; and 4, judging whether to adjust the component design parameters or not according to the damage parameter limit value. According to the method, a double-node unit constitutive structure of bending / shearing behaviors is constructed through layered shell simulation data, a damage evaluation model under multistage earthquakes is established, the reinforcement ratio and the post-cast section width are optimized based on the damage overrun degree, and a closed loop of the construction model, structural analysis, damage evaluation and parameter optimization is formed. And a design platform with adjustable and controllable anti-disaster performance is provided for the high-rise modular building.

The invention relates to the technical field of computer aided design, in particular to a heat energy storage heat recovery rate evaluation method based on finite element analysis, which comprises the following steps: importing a CAD geometric model of a heat energy storage system, analyzing the topological relation, shape attribute and component naming information of the geometric model, and acquiring original data of geometric characteristics. According to the method, a functional area system is constructed based on original data of geometric features, classification operation of a fluid domain, an energy storage material domain and a heat transfer channel is completed in a structural analysis stage, and an initial binding relation between structural attributes and functional attributes is formed. In the material parameter and grid division processing process, directional configuration of material thermophysical property parameters is achieved through structural function mapping, meanwhile, heterogeneous grid parameters and partition control precision and density are set for a fluid boundary layer and a phase change area, and the resolution capacity for details of the heat transfer process is enhanced.

Techniques are described for using computing devices to perform automated operations for determining matching buildings and using corresponding information in further automated manners, such as by determining buildings having similarities to an indicated target building based at least in part on building floor plans and / or other attributes, and by automatically determining building modifications to implement for the target building based at least in part on differences with the similar buildings and / or building features that are prioritized or deprioritized from analysis of user activity data of one or more types, optionally in combination with one or more other specified criteria. Information about such determined buildings may be used in various automated manners, including for controlling device navigation (e.g., autonomous vehicles), for display on client devices in corresponding graphical user interfaces, for further analysis to identify shared and / or aggregate characteristics, etc.

The invention relates to the technical field of data processing, and discloses a building structure automatic design method and system based on artificial intelligence. The method comprises the steps that a collaborative building information model is constructed by collecting building design task data, load analysis and rigidity parameter calculation are carried out, a Timoshenko beam model is constructed, a structural arrangement prediction result is generated in combination with graph network optimization, a parameterized modeling program is input to generate a building structure model, and multi-working-condition analysis is completed to obtain a structural design scheme. Design documents and construction information are automatically generated, and a parameter and analysis result corresponding relation database is established. By integrating modeling, structural analysis and design document generation, the problems of intelligent collaboration and efficient output in the whole process of structural design are effectively solved.

The present invention provides a building structure health monitoring and early warning system and method, the system comprising: a data acquisition and classification module, a structural analysis and evaluation module, an independent risk assessment module, a collapse dynamic analysis module, and a comprehensive safety analysis module. This method does not only stop at the evaluation of a single floor, but also comprehensively considers the mutual influence between floors. This design overcomes the limitations of traditional analysis methods and can clearly identify which floors have potential collapse risks and how these risks affect adjacent floors. This holistic perspective analysis can more comprehensively reflect the real risks that a building may face after a disaster, avoiding misjudgments caused by local analysis.

The embodiment of the invention provides a permission topological structure construction method and device based on the lowest permission, and the method comprises the steps: carrying out the structural analysis and classification of request data from an identity management platform, carrying out the parameterized replacement, obtaining an unpublished interface path template, and storing the unpublished interface path template in a database; establishing a mapping relationship between the unpublished interface path template and a preset identity management platform permission model to obtain an unpublished interface parameter structure, and fusing the unpublished interface parameter structure with the existing interface parameter structure to obtain a centralized interface parameter structure; under the lowest permission role, starting from an initial node of the centralized interface parameter structure according to a task scheduling engine and a graph operation model, performing multi-hop breadth traversal along a member relationship, role binding and a permission operation path, determining a corresponding permission map, performing fine-grained dependency extraction on the permission map, and updating the permission map according to the dependency relationship, according to the method and the device, the security and the management efficiency of the identity and access management platform can be improved.

The invention relates to the technical field of plate turnover machine alignment control, and provides a turnover alignment control method and system of a single-face and double-face plate turnover machine. The method comprises the following steps: carrying out structure analysis on a turnover target, and identifying an alignment key point and a structure feature; establishing a pre-overturning / post-overturning coordinate transformation relation, and calculating a post-overturning theoretical position based on the current pose; predicting the overturning deviation based on the theoretical position, and analyzing the compensation parameter and controlling the compensation when the deviation exists; and obtaining a time sequence process alignment parameter, carrying out secondary alignment on the overturning target by using the time sequence process alignment parameter, confirming completion and joining the next process. The technical problems that the alignment precision is low and the turnover deviation cannot be effectively compensated due to the structural difference or inaccurate target pose recognition when a traditional plate turnover machine performs single-face and double-face turnover are solved, and the technical effects that the turnover alignment precision is improved through secondary alignment and procedure connection treatment, and automatic procedure connection is achieved are achieved.

The invention relates to a steel structure lifting integration dynamic stability analysis method, which belongs to the technical field of steel structure analysis methods, and comprises the following operation steps: 1, establishing a multi-correlation structure integration model; and 2, carrying out dynamic lifting collaborative correction. And 3, carrying out accumulative lifting dynamic continuous overall stability analysis. And fourthly, dynamic continuous overall stability analysis is adopted till the accumulated lifting subareas are combined into an overall steel structure, and the overall steel structure is lifted and installed in place. The problems that existing steel structure lifting analysis is discontinuous, dynamic state continuous stable buckling of a supporting structure is not considered, and structural analysis design safety is not high are solved. The problems that when an existing supporting structure is independently calculated and analyzed, the supporting structure is restrained, the calculation length coefficient is not considered sufficiently, the overall stability safety coefficient is not considered sufficiently, a structure associated with the supporting structure is not used as an important influence factor influencing the calculation and analysis of the supporting structure, and the structural design precision is not high are solved.

The invention discloses a radio frequency dummy load multi-physical field simulation method, which comprises the following steps of S1, performing electromagnetic characteristic analysis on a radio frequency dummy load wave-absorbing structure, and calculating power loss distribution; s2, importing the power loss distribution into thermal simulation software, performing thermal simulation, and calculating steady-state temperature distribution of the radio frequency dummy load wave-absorbing structure in the oil medium; s3, taking the temperature distribution obtained by thermal simulation as a load, performing structural analysis on the radio frequency dummy load wave-absorbing structure, and obtaining thermal deformation of each part; and S4, introducing the radio frequency dummy load wave-absorbing structure after thermal deformation, updating the material characteristics, performing simulation, and finally obtaining the electromagnetic performance of the radio frequency dummy load wave-absorbing structure influenced by the temperature. By comprehensively considering the interaction of a plurality of physical fields such as an electromagnetic field, a thermal field and a mechanical field, the performance of the radio frequency dummy load in an actual working environment can be simulated more accurately, and potential design problems can be found, so that the design accuracy and reliability are improved.

The invention provides a sand-gravel stratum grouting simulation test system and method based on a three-dimensional forming technology, and relates to the technical field of grouting simulation tests.The sand-gravel stratum simulation module identifies an underground geologic structure and a stratum interface of a sand-gravel stratum to be simulated based on drilling geophysical prospecting data and geological prospecting information; obtaining stratum interface refined characterization, stratum permeability attribute characterization and stratum water-rich degree attribute characterization; on the basis of refined representation of stratum interfaces, three-dimensional forming printing is conducted on the stratum interfaces, the stratum interfaces are fixed in a test model cylinder, stratum media are filled layer by layer according to stratum permeability attribute representation and stratum water-rich degree attribute representation, and construction of a sandy gravel stratum model is completed; based on the structural analysis of the to-be-simulated sandy gravel stratum, the stratum interface and the filling medium are printed through the three-dimensional forming technology, the sandy gravel stratum model is constructed, and the reliability and accuracy of a sandy gravel stratum grouting simulation test are improved.

The invention discloses a cross wedge rolling model fault early warning system and method based on a large model and a knowledge graph, and belongs to the field of fault diagnosis, and the system comprises a model fault knowledge graph module which carries out the structural analysis of the fault of an industrial model based on a model structure, an operation standard and semantic information, and builds a cross wedge rolling model fault knowledge graph; the model fault distributed diagnosis module is used for constructing a distributed decision model and determining an operation state, an early warning part object and an early warning reason of the cross wedge rolling model based on the distributed decision model; and the large model diagnosis reasoning module is used for performing fault diagnosis on the fault object based on the running state of the cross wedge rolling model in combination with the cross wedge rolling model fault knowledge graph to obtain a diagnosis result. According to the cross wedge rolling model fault diagnosis method, the knowledge graph is constructed, and machine learning and the large language model are combined for cross wedge rolling model fault diagnosis, so that the accuracy of cross wedge rolling model fault diagnosis is effectively improved, the fault diagnosis process is optimized, and the diagnosis efficiency is improved.

The invention belongs to the technical field of pressure vessel structure analysis, and particularly relates to an intelligent reduced basis finite element method for rapidly analyzing the deformation behavior of a pressure vessel. According to the method, a finite element method is improved by adopting a reduced basis method, an online and offline combined solution mode is developed, after design parameters such as a structure size, a load type and size, material attributes and the like are preset, a reduced basis space is obtained by adopting an offline solution mode, and then a mapping relation between a reduced basis solution and a finite element solution is established; according to the method, order reduction of a finite element model is achieved, the degree of freedom of a problem is reduced, the calculation amount needed by solving a linear algebraic equation set through a traditional finite element method is greatly reduced while the precision is guaranteed, a Gaussian process regression method is further introduced to describe the elastic-plastic deformation behavior of the pressure vessel, and therefore the deformation behavior of the pressure vessel is rapidly solved.

The invention relates to the technical field of bridge parametric modeling, in particular to a terrain-adaptive complex bridge parametric modeling method, which comprises the following steps: S1, terrain data acquisition and processing: acquiring high-precision terrain data through a laser radar, unmanned aerial vehicle photogrammetry or a GIS (Geographic Information System), and generating a digital elevation model; s2, bridge parameterization rule definition: inputting bridge main control parameters including a span range, a bridge width, a bridge height, material attributes and a load standard, and constructing an adaptive rule base, S3, parameterization model generation: based on topographic features and the rule base, automatically generating a bridge axis plane line shape and a longitudinal section, and dynamically arranging a bridge pier position, generating a three-dimensional model of the inclined pier column, the pile foundation and the main beam; s4, structural analysis and optimization: exporting the model to finite element analysis software, and verifying stress, displacement and anti-seismic performance; design automation is achieved through the parameterization rule base, the span, the pier column and the main beam are intelligently optimized, and the design efficiency and economical efficiency are remarkably improved.

The invention discloses a deep foundation pit structure crack AI intelligent monitoring control method and system, and relates to the technical field of civil engineering structure health monitoring, and the method comprises the following steps: S1, measurement positioning: obtaining project control points of a field working face and feature data of foundation pit structure side lines, and carrying out positioning recheck based on positioning data of a positioning system; s2, unmanned aerial vehicle scanning: guiding the unmanned aerial vehicle to move in the deep foundation pit site based on the measurement positioning data, and scanning the site by a pre-loaded scanning radar to obtain point cloud data of the deep foundation pit structural surface; s3, modeling: modeling based on the point cloud data, identifying structure change features based on a model, and marking feature attributes; and S4, structural analysis and early warning: outputting a structural abnormity prompt based on the annotation information, and recording change information of the structure based on a time sequence for structural evolution analysis and prediction. The method has the effect of improving the monitoring effect of the deep foundation pit crack.

The embodiment of the invention discloses a stratum denudation data determination method and device, equipment and a medium. The method comprises the following steps: determining a target layer, a Shanghai generic surface and a Shanghai generic surface of which stratum denudation data needs to be calculated; wherein the upper marine flooding surface is located above the top surface of the target layer and closest to the top surface of the target layer, and the lower marine flooding surface is located below the bottom surface of the target layer and closest to the bottom surface of the target layer; determining denudation points according to the target layer and the underlying stratum; wherein the underlying stratum is a stratum located between the bottom surface of a target stratum and a lower sea flooding surface; and determining the stratum denudation amount according to the thickness between an upper line extending upwards in the stratum direction from the denudation point and the bottom surface of the target stratum. According to the scheme, the stratum denudation amount can be determined more accurately and quickly according to the stratum characteristics and the seismic data which are easy to obtain, higher practicability is achieved, and basic data are provided for later-stage structural analysis, hydrocarbon source rock evolution, oil and gas accumulation condition analysis and the like.

The application discloses a kind of quantitative description fault inversion process method based on balanced section, comprising the following steps: S1: selecting geological profile;S2: division different inversion stage sequence stratigraphy;S3: determine the geologic time of different activity stages of inversion fault;S4: use balanced section technology to restore the evolution history of inversion fault;S5-S7: calculate the slip distance of different stages inversion fault, and calculate the slip rate, inversion intensity coefficient of different inversion stages;S8: establish equivalent point distance, total slip distance, slip rate and inversion intensity coefficient trend chart with geologic time variation, the application is suitable for basin structural analysis technical field, introduce balanced section technology, can more accurately restore fault inversion process;Moreover, can clearly, accurately, quantitative characterization fault inversion process from fault slip distance, the activity intensity of different stages and inversion intensity etc., facilitate different inversion structure contrast, basin structural analysis etc. work is carried out.

The invention relates to a salt structure identification method and system based on a seismic wave velocity structure and anisotropy, and belongs to the field of oil and gas resource exploration. The method comprises the following steps: carrying out micro-seismic identification and seismic phase arrival time pickup processing on continuous natural seismological observation data; inversion is carried out on a natural seismic data set obtained through microseismic recognition and seismic phase arrival time pickup processing by using a tomography method containing anisotropy; and identifying the position and form of the salt structure based on the three-dimensional wave velocity structure and anisotropic distribution of the block obtained by inversion and the average wave velocity value of the gypsum salt layer of the block. According to the method, the underground velocity structure and anisotropy are obtained by using continuously recorded natural seismic signals, and the position and form of the salt structure can be judged according to the velocity and deformation difference between the salt structure and the surrounding rock and the cover layer. The key result is crucial to regional structure analysis and searching for favorable oil and gas structures.