18 results about "Finite element technique" patented technology

The invention relates to the technical field of engineering machinery, in particular to an electric cabinet cracking fault diagnosis method, device and equipment and engineering machine.The method comprises the steps that a fluid CFD simulation model corresponding to a cooling water channel in an electric cabinet is built; according to the fluid CFD simulation model, fluid pressure information corresponding to the wall face of the cooling water channel is obtained; based on a finite element FEM technology, establishing an electric cabinet structure simulation model with geometric features corresponding to the welding root notch at the welding root position; coupling the fluid pressure information corresponding to the wall surface of the cooling water channel to the wall surface of a fluid domain cavity corresponding to the electric cabinet structure simulation model to obtain a structure fluid coupling analysis model; and performing deduction calculation on stress information corresponding to the weld root notch in the structural fluid coupling analysis model based on the weld fatigue curve so as to diagnose the cracking fault of the weld root position. According to the invention, accurate diagnosis of the welding root cracking fault of the electric control box can be realized, and a reliable basis is provided for identifying the fault hidden danger of the electric control box in advance.

The invention discloses a batch automatic extraction method and system for satellite stand-alone dynamics finite element results, relates to the technical field of satellite structure finite elements, and aims to solve the problems that manual extraction of the satellite stand-alone dynamics finite element results is huge in workload and prone to result errors at present. Preprocessing the single-machine geometric model, the single-machine matching table, the whole-satellite assembly model, the finite element model and the first solving file respectively; based on the single machine matching table, after single machine installation point coordinates in the whole satellite assembly model are extracted, a single machine geometric model installation point coordinate table is exported; based on the first solving file, the stand-alone geometric model installation point coordinate table and the stand-alone geometric model installation points, generating a finite element model installation point node table corresponding to the stand-alone geometric model installation point coordinate table, and outputting a second solving file; and based on the finite element model installation point node table and the second solving file, generating a result, enabling the result to correspond to the single machine, and outputting a chart result.

The application discloses a kind of wet clutch pressure and deformation relationship curve calculation method, according to the friction plate pressure-deformation relationship curve obtained from clutch friction plate compression performance test, based on the friction plate geometric parameter deduces the nominal stress-strain relationship curve of friction lining material, and it is separately endowed with friction lining structure;Steel sheet, friction lining, duplicate steel sheet are respectively endowed with the material mechanics attribute of itself, it can be applied to the case that the number proportion and volume proportion of arbitrary steel sheet, friction lining, duplicate steel sheet change;Friction lining is divided into different regions, define different material compression performance, the compression performance of friction lining material is corrected using finite element method, and the obtained material compression performance is more consistent with the actual;The compression performance parameters of friction lining material are obtained by adjusting Poisson's ratio using finite element technology, which is fast and accurate, can effectively shorten the compression performance test of substitute material, and further save the test cost.

The invention discloses a water conservancy ship lock anti-collision early warning method and system based on digital twinning, and relates to the technical field of intelligent shipping, the system senses the navigation state and water area topographic features of a ship lock water area in real time through a sensor group and an unmanned ship multi-beam sonar technology, and pre-processes to obtain a dynamic behavior data set and three-dimensional contour information data; a dynamic digital twinborn simulation model is constructed based on fluid mechanics and a finite element technology, a dynamic behavior data set is extracted, a ship dynamic stability index pwd is calculated to carry out ship stability analysis, deposition coupling analysis is executed when a ship is stable, and by calculating a deposition coupling response index cjo, a dynamic twinborn simulation result is obtained. And a comprehensive disturbance yaw index crp is constructed in combination with a ship transverse attitude angle theta for ship disturbance deviation analysis. The system can send an intervention instruction to the control system in real time when the ship is unstable or the yaw risk exceeds a threshold value, so that the traffic safety level and the intelligent management capability of the ship lock are improved.

The invention relates to a method for determining (300) a temperature field of a part (102), said method comprising the following steps: measuring (306) temperatures (Tm) on said part (102) by means of an array of N temperature sensors (104), where N is a natural number strictly greater than one, said temperature sensors (104) being fixed on or in the part (102); from a reference thermal source (S), determining (304) a set of simulated temperatures (Ts) on said part (102) by application of a direct model (M) of thermal conduction with a mesh (500) of the part (102) according to a finite element technique, said mesh (500) comprising a plurality of cells (502); define the position of each temperature sensor within the mesh; for each of the meshes (502), correlate (308) the temperature values ​​(Tm) measured in step a) to a simulated temperature value (Ts) obtained at the end of step b).Figure for the summary: Fig. 3.

The present application relates to the technical field of finite element, specifically to a steel pipe pile bearing characteristic three-dimensional finite element analysis method and system, comprising the following steps: obtaining shear strain and volume deformation sequence and mapping and homing mutation point, extracting deformation main control direction, comparing loading stage boundary offset image, tracking displacement path and response node, identifying stress misplacement section, identifying contact surface response characteristics, and dividing pile soil structure zoning map.In the present application, the mutation point distribution is extracted through the direction mapping of shear strain and volume deformation, the deformation trend main control direction is constructed, the spatial aggregation recognition ability of deformation characteristics is enhanced, the boundary offset direction is extracted through the disturbance comparison of initial and final states of loading, the response distribution extraction of interface boundary is strengthened, the settlement trend offset area is tracked through the displacement path and time sequence difference, the stress propagation abnormal section is extracted through the node misplacement in force transmission path, the zoning is divided in combination with the contact response characteristics under disturbance direction, and the structure response recognition ability under the condition of pile soil interaction is expanded.

The application relates to the technical field of pipeline detection, and discloses a reinforced concrete pipeline deterioration detection method, system, equipment and storage medium, which comprises the following steps: constructing an initial finite element pipeline model according to pipeline parameters of a pipeline to be detected; constructing a stress-strain field of the pipeline to be detected by using a digital image technology; judging the accuracy of the initial finite element pipeline model according to a strain cloud picture of the stress-strain field, adjusting the initial finite element pipeline model according to a judgment result, and obtaining a finite element pipeline model; generating a typical load displacement curve of the pipeline to be detected according to the finite element pipeline model, and calculating a deterioration degree index of the pipeline to be detected according to the typical load displacement curve. The application is fused by the digital image technology and the finite element technology, can comprehensively reflect the damage degree of a structure, can accurately represent the deterioration condition of a long-term operation structure in real time, and thus improves the operation and maintenance safety of a pipeline network system.

The invention discloses a finite element technology-based part measurement method, which comprises the following steps of: 100, putting a pre-manufactured part to be measured on a measurement bracket, selecting part of clamping points, and clamping by using a physical chuck; 200, scanning the to-be-detected part and acquiring point cloud data of a full profile; 300, establishing a finite element deformation model of the to-be-tested part by using computer-aided analysis software; and 400, inputting the obtained point cloud data, the finite element deformation model and the boundary condition parameters of the to-be-measured part into optical measurement software with a finite element solver, applying virtual clamping to the clamping points which are not clamped by the physical chuck in the software, and completing part clamping based on the combination of the finite element technology and the optical measurement technology. The sheet metal part overcomes gravity and rebound deformation, so that the part is fixed to a specified state in a physical and virtual combined clamping mode, and then size evaluation is completed.

The invention discloses a dam multi-physics field real-time reconstruction method and system based on finite element and AI agent model fusion. Belongs to the technical field of hydraulic engineering safety monitoring. The system comprises a finite element simulation data generation module, an AI proxy model training module, a sensor interface module and a physical field real-time reconstruction module. The method comprises the following steps: firstly, constructing a multi-physical field simulation model and generating multi-working condition simulation data by combining geometric and geological parameters of a dam through a finite element technology; then, a physically guided graph operator or a multi-scale physical attention mechanism is adopted to train an AI proxy model, and efficient mapping of a complex physical field is achieved; the system accesses multi-source sensor data in real time, and drives the proxy model after dynamic time warping and normalization processing, so that efficient reconstruction and anomaly detection of a dam physical field are realized. Model unfreezing and physical constraint confrontation training are automatically triggered through error analysis, and the adaptive capacity and reconstruction precision of the model to sudden working conditions are improved.

The application discloses a kind of based on finite element and AI agent model fusion dam multi-physical field real-time reconstruction method and system.Belong to water conservancy engineering safety monitoring technical field.The system includes finite element simulation data generation module, AI agent model training module, sensor interface module and physical field real-time reconstruction module.First, by finite element technology combining dam geometry and geological parameters, construct multi-physical field simulation model and generate multi-working condition simulation data.Subsequently, physical-guided graph operator or multi-scale physical attention mechanism is used to train AI agent model, to realize the efficient mapping of complex physical field.The system accesses multi-source sensor data in real time, drives the agent model after dynamic time warping and normalization processing, realizes the efficient reconstruction and anomaly detection of dam physical field.Through error analysis, model thawing and physical constraint countermeasures training are automatically triggered, to improve the adaptive ability and reconstruction accuracy of the model to sudden working conditions.

The invention provides a selective laser melting stress deformation calculation method and device based on fluid-solid coupling, and relates to the technical field of additive manufacturing process simulation, the method can dynamically simulate formation and evolution of a molten pool in the laser scanning process by combining computational fluid dynamics (CFD) and finite element (FEM) technologies, and the deformation of the selective laser melting stress is calculated. And obtaining temperature and volume fraction (VOF) data related to the molten pool. Furthermore, a life-death unit coefficient in the FEM model is determined by using VOF data, a thermal-elastic-plastic model is constructed, and stress calculation is realized through a CFD-FEM data mapping algorithm. According to the method, the limitation of a traditional fixed heat source model is overcome, an efficient and universal calculation framework is provided for the forming process with the flow characteristic, the calculation precision is remarkably improved, and the method has great significance in optimizing the additive manufacturing process and improving the performance of a formed part. The method aims at improving the prediction precision of stress and deformation in a complex forming process.

The invention relates to the technical field of bridge construction, and provides a representative sample set construction method and device for a fatigue vehicle load spectrum, and the method comprises the steps: obtaining a standard fatigue vehicle type in a specification; according to vehicle load data collected by the WIM, determining an actual traffic flow time sequence and typical vehicle types contained in the actual traffic flow time sequence; converting an actual traffic flow time sequence into an equivalent traffic flow time sequence of a standard fatigue vehicle model by combining a fatigue damage equivalence principle based on a typical vehicle model and the standard fatigue vehicle model through a finite element technology; an equivalent traffic flow time sequence of a standard fatigue vehicle model is divided into an average component and a zero mean fluctuation component, a representative sample set of the zero mean fluctuation component is generated by adopting a spectrum representation-dimension reduction method, and a representative sample set of a fatigue vehicle load spectrum is further constructed. The generated representative sample of the fatigue vehicle load spectrum can accurately reflect the randomness and the time-varying property of the vehicle load.

This invention discloses a collision avoidance and early warning method and system for hydraulic ship locks based on digital twins, belonging to the field of intelligent shipping technology. The system uses a sensor array and unmanned surface vessel (USV) multibeam sonar technology to perceive the navigation status and topographic features of the lock area in real time. It preprocesses and acquires dynamic behavior data sets and three-dimensional contour information data. Based on fluid mechanics and finite element technology, it constructs a dynamic digital twin simulation model, extracts the dynamic behavior data sets, calculates the ship dynamic stability index (PWD) for ship stability analysis, and performs deposition coupling analysis when the ship is stable. It calculates the deposition coupling response index (CJO) and, combined with the ship's lateral attitude angle (θ), constructs a comprehensive disturbance yaw index (CRP) for ship disturbance deviation analysis. The system can issue intervention commands to the control system in real time when the ship's instability or yaw risk exceeds a threshold, improving the safety level and intelligent management capabilities of the lock passage.

This invention proposes a rapid correction method for aircraft model wings that takes random uncertainties into account. This method, which belongs to the field of aerospace technology, addresses the technical issues that traditional random model correction methods exhibit high computational complexity during model correction and may result in errors between the model and the actual structure when dealing with multi-source uncertainties. The invention simulates an aircraft model using finite element technology to generate a large number of random samples containing wing structural parameters. A CNN is used to construct a mapping relationship between the wing dynamic response and parameters, and this model is used for parameter correction. A CNN model is designed and trained, using five sets of wing natural frequencies as input to predict the mean and variance of the wing dimensions. A data generation and processing pipeline is established in the ANSYS and Python environments to automate sample generation. The generated data is used to train the CNN and perform parameter inversion to rapidly correct for model uncertainties.

The application discloses a proportional boundary perfect matched layer method and system for numerical simulation of infinite domain wave motion, and belongs to the field of dynamic analysis, which comprises the following steps: irregular geometric infinite domain in a Cartesian coordinate system is mapped to a regular geometric domain in a proportional boundary local coordinate system based on proportional boundary coordinate transformation; the radial coordinate of the regular geometric domain is analytically extended to a complex space by using a complex coordinate stretching function, and a proportional boundary perfect matched layer is obtained by truncation processing according to a preset thickness; based on the Galerkin weighted residual principle, corresponding equivalent integral expressions are constructed for the balance equation and the physical equation of the wave motion problem in the proportional boundary perfect matched layer; mixed displacement-stress finite element technology is adopted to perform finite element discrete processing on the displacement, stress and auxiliary variables of stress integral in the constructed equivalent integral expressions, so that mixed displacement-stress finite element equations of the proportional boundary perfect matched layer are obtained; the method has the advantages of simple boundary implementation and good adaptability of the boundary to the inner domain.

The application relates to a ship ice belt structure grading redundancy optimization method for improving ice load capacity, which comprises the following steps: determining the floating ice collision load of the ship ice belt according to the ship ice grade and design parameters; performing finite element modeling on the ship body structure and dividing the structure levels of each side ice belt; the components of each structure level form the plate grid, the plate frame structure or the component part of the transverse frame structure; when encountering external floating ice collision load, the stress is first transmitted among the components of each level and then is extended to the components of the higher level; the structure residual strength analysis is carried out based on the finite element technology, the redundancy of the side ice belt structure is evaluated through the key component grading iterative damage method; the side ice belt structure is optimized, the optimization target is to ensure that the structure damage cannot be transmitted from the low-level component to the high-level component under the load working condition; and the residual strength analysis and the structure redundancy analysis are carried out on the optimized structure.

This invention discloses a method and system for structural reliability analysis of a high-rise building machine based on active learning. The method includes: establishing a stochastic pulsating wind field to simulate pulsating wind loads on a high-rise building and creating a sample pool; establishing a finite element model of the high-rise building machine and assigning material properties; training an AI agent model based on the sample pool and the finite element model, using an improved QBDC active learning approach; predicting the time-history response of all samples in the sample pool using the trained AI agent model; and determining the structural dynamic reliability based on the prediction results and the PDEM algorithm. Addressing the limitations of traditional reliability analysis methods, such as narrow applicability, large workload, and time-consuming computation, this invention combines artificial intelligence algorithms, finite element method (FEM), and probability density evolution method (PDEM) to achieve rapid construction of a stochastic excitation-structural response AI agent model, thereby overcoming the shortcomings of existing methods in structural reliability assessment.

The invention discloses a proportion boundary perfect matching layer method and system for infinite domain fluctuation numerical simulation, and belongs to the field of dynamic analysis, and the method comprises the steps: mapping an irregular geometric infinite domain under a Cartesian coordinate system to a regular geometric domain under a proportion boundary local coordinate system based on proportion boundary coordinate transformation; analyzing and extending the radial coordinates of the regular geometric domain to a complex space by using a complex coordinate stretching function, and performing truncation processing according to a preset thickness to obtain a proportional boundary perfect matching layer; based on a Galerkin weighted residual principle, constructing a corresponding equivalent integral formula according to an equilibrium equation and a physical equation of a fluctuation problem in a proportion boundary perfect matching layer; performing finite element discrete processing on auxiliary variables of displacement, stress and stress integration in the constructed equivalent integral formula by adopting a mixed displacement-stress element finite element technology to obtain a mixed displacement-stress finite element equation of a proportional boundary perfect matching layer; the method is simple in boundary implementation and good in boundary and internal domain adaptability.