7 results about "Infinite element" patented technology

The invention discloses a pile-soil coupling loss prediction method based on soil layer quantification and a neural network. The method comprises the following steps: firstly, through parameterized finite element-infinite element coupling numerical simulation, extracting a pile-soil coupling loss quantitative index-transfer function amplitude ratio; converting the multi-layer soil body distribution information into standardized soil layer distribution characteristic parameters through a normalized coordinate system; then, a neural network model is constructed, pile body parameters, load parameters, characteristic frequency points and soil layer distribution characteristic parameters serve as input, and a transfer function amplitude ratio serves as an output target for training; and finally, rapid and accurate prediction of the pile-soil coupling loss is realized through the trained model. According to the method, effective quantification of complex soil layer space distribution is innovatively realized, and the problems of insufficient precision and low efficiency of a traditional method in pile-soil dynamic coupling loss prediction are solved.

The invention relates to the field of acoustic nondestructive testing, and provides a rapid analysis method, device and equipment for machining defects of remanufactured parts, and the method comprises the following steps: establishing a finite element simulation model of a part to be analyzed; meshing the finite element simulation model into a finite element mesh and an infinite element mesh; applying a preset ultrasonic excitation signal to the excitation point; calculating the propagation process of the ultrasonic excitation signal in the to-be-analyzed part through a finite element simulation model, and collecting an ultrasonic echo signal at a signal collection point; extracting a plurality of characteristic parameters related to defect states from the collected ultrasonic echo signals; and inputting the plurality of extracted feature parameters into a pre-trained deep learning prediction model to obtain a residual service duration prediction result of the to-be-analyzed part. According to the method, the problem of insufficient ultrasonic detection accuracy in the prior art is solved, and the residual service time of the remanufactured part is quickly and accurately predicted.

The invention discloses a lateral logging forward modeling simulation method and system based on finite element and infinite element coupling, and relates to the technical field of geophysical logging, the method comprises the following steps: establishing a two-dimensional lateral logging forward modeling model corresponding to an axisymmetric anisotropic stratum, carrying out grid division, and carrying out finite element calculation outside a finite element calculation area of the two-dimensional lateral logging forward modeling model; arranging a mapping infinite element as a boundary unit; calculating a total stiffness matrix; according to the total stiffness matrix, applying an equipotential boundary condition to each metal electrode of the logging instrument on a node in the two-dimensional lateral logging forward modeling model; and solving the two-dimensional lateral logging forward model after the equipotential boundary condition is applied to obtain each sub-field which is sequentially and independently emitted by each emission electrode, and synthesizing and focusing all the sub-fields to obtain lateral logging response. According to the method, the mapping infinite element is adopted as the boundary unit, the boundary unit is coupled with the finite element calculation area, and forward modeling of lateral logging can be rapidly and accurately achieved.

The invention discloses a PDC drill bit shaft bottom in-situ rock breaking debris particle size measurement method and system, and relates to the technical field of shaft bottom in-situ rock breaking debris particle size measurement, and the method comprises the steps: constructing a shaft bottom in-situ finite-discrete-infinite element rock model; the in-situ stratum rock at the well bottom is regarded as an infinite boundary, and PDC tooth cutting rock breaking parameter calibration and PDC tooth rock breaking model modeling are carried out; and under the non-bilinear damage criterion, through the interaction of the in-situ finite-discrete-infinite element rock model and the PDC tooth crushing rock model, the in-situ initial rock debris particle size of the well bottom is measured, and the performance of the drilling fluid is adjusted. According to the method, the well bottom in-situ rock debris particle size is measured based on the non-bilinear damage criterion of the typical rock stress-strain curve and the well bottom in-situ finite-discrete-infinite element rock model in a coupling mode, and the reliability and accuracy of well bottom in-situ rock breaking rock debris particle size measurement are improved; and the problem of high calculation cost or sound wave effect of a finite-discrete element model is avoided.

The application discloses a high-fidelity simulation method for a magnetron sputtering cathode magnetic field based on finite element analysis, and belongs to the technical field of magnetic field simulation. The method comprises the following steps: constructing a geometric model of a magnetron sputtering cathode magnet system in a target space, and setting an analysis domain for solving in the geometric model; at least one geometric layer surrounding the analysis domain is set outside the analysis domain, and the geometric layer is explicitly defined as an infinite element domain in finite element analysis software; a structured sweep grid is applied in the infinite element domain along a coordinate stretching direction; the sweep direction of the sweep grid is consistent with the far-field decay direction of the magnetic field; a grid is applied to the analysis domain, and a static magnetic field control equation is solved to obtain the magnetic field distribution on and near the surface of a cathode target material. The above scheme improves the overall calculation efficiency while ensuring the simulation accuracy.

The invention discloses a complex site seismic oscillation input method, which comprises the following steps of: firstly, constructing a three-dimensional complex site finite element model, modifying a finite element boundary of the three-dimensional complex site finite element model into an infinite element artificial boundary, and constructing to obtain a three-dimensional complex site finite element-infinite element coupling model; then calculating to obtain an equivalent node load of any node on the regular boundary surface of the infinite element artificial boundary by combining a seismic wave acceleration time travel curve and a seismic wave incident angle, and taking the equivalent node load as seismic oscillation input of the regular boundary of the complex site; and finally, constructing a large-size model, and calculating according to the large-size model to obtain an equivalent node load of any node on the irregular boundary surface of the complex site, and taking the equivalent node load as seismic oscillation input of the irregular boundary of the complex site. According to the method, the seismic oscillation input of the regular boundary and the irregular boundary is deduced and calculated, so that the seismic oscillation input of the complex site is completed, the seismic response analysis of the complex site is realized, and a reference is provided for the anti-seismic safety evaluation of the complex site.

This invention discloses a method for analyzing the dynamic response of deep-sea pile driving soil based on ALE fluid-structure interaction and infinite element boundary, belonging to the field of marine engineering technology. It solves the technical problem of mesh distortion and hourglassing caused by severe soil compression at the pile tip during deep penetration. The key to this technical solution is the introduction of an adaptive mesh technique with an arbitrary Lagrange-Eulerian adaptive mesh control domain. By dynamically refactoring the mesh topology during the analysis step, mesh distortion and hourglassing caused by severe soil compression at the pile tip during deep penetration are effectively avoided, enabling the finite element model to stably simulate the penetration depth process.