8 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 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 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.

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.

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.