183 results about "Tetrahedral meshes" patented technology

The invention provides a transformer partial discharge ultrasonic propagation simulation model construction method and system, and the method comprises the steps: defining a geometric model of a transformer, which is a three-dimensional model of an oil-filled transformer oil tank with a winding and an iron core; setting a sound field module and defining a sound source, and placing the sound source as a partial discharge source in the geometric model of the transformer; a hard boundary condition is applied to the surface of the geometric model tank of the transformer, reflection of the geometric model tank to sound pressure waves is obtained, and under the hard boundary condition, the normal derivative of pressure is zero at the boundary; performing grid division on the geometric model body of the whole transformer by adopting tetrahedral grid units; and after solving, further processing to obtain model parameters, wherein the model is used for displaying the distribution of the ultrasonic sound pressure in the transformer.

The invention provides a method for generating a harmonious object in a three-dimensional scene based on physical rendering and uncertainty estimation, and the method comprises the steps: giving a three-dimensional scene, and generating the text description of a target object and a rectangular frame of the position of the target object in a 2D rendering view of the three-dimensional scene; according to the text description of the generated target object, a multi-view image generation diffusion model is utilized to construct a deformable tetrahedral mesh of the geometric appearance of the target object; constructing a feature network comprising a material item prediction module and an uncertainty item prediction module; obtaining a rendered picture of the target object by using a physical rendering technology, and performing training optimization on the feature network; and obtaining a multi-view scene rendering dense view containing the target object and a 3D model file according to the three-dimensional scene, the deformable tetrahedral mesh and a material item output by the trained feature network. According to the method, the problem that the target object and the scene are not harmonious in fusion is effectively solved, and the reality sense and the visual effect of the target object in the scene are enhanced.

The invention provides a three-dimensional scene simulation method and system based on 3D Gaussian sputtering in the technical field of physical simulation. The method comprises the steps that S1, an initial point cloud model is obtained based on reconstruction of all object images; s2, based on the initial point cloud model, mask label reconstruction is carried out to obtain a triangular mesh model, and a tetrahedral mesh model is obtained through expansion; s3, creating a 3D Gaussian sputtering model based on the triangular mesh model through a 3D Gaussian kernel function; s4, through implicit integration and finite element modes, controlling the tetrahedral mesh model to simulate the deformation and motion effect of the simulation target based on physical attributes, and collecting the deformation gradient and vertex coordinates of each tetrahedral mesh in the deformation process; s5, synchronously deforming the 3D Gaussian sputtering model based on the deformation gradient; and S6, the deformed 3D Gaussian sputtering model is mapped to the tetrahedral mesh model based on the vertex coordinates, and a simulation result is obtained through rendering. The method has the advantage that the three-dimensional scene simulation precision is greatly improved.

The invention discloses a physical attribute inversion and three-dimensional reconstruction method based on Gaussian splashing and micro-rendering, and belongs to the technical field of computer vision, and the method comprises the steps: generating a sparse point cloud based on a multi-view image to initialize a Gaussian ball; determining a Gaussian pivot point based on a Gaussian ball, constructing a self-adaptive tetrahedral mesh in combination with gradient optimization, extracting an explicit surface from the self-adaptive tetrahedral mesh, and sampling to obtain geometric information; predicting the physical attribute of each sampling point through an implicit texture network, and providing ambient light through an HDR ambient light map; geometric information, physical attributes and ambient light are used as input, a differentiable PBR renderer is adopted to generate a physical rendering image, multi-term loss function reverse optimization is constructed, and collaborative optimization and inversion of three-dimensional geometry and surface physical attributes are realized. According to the method, the problems of texture dislocation, thin-wall structure disappearance and high rendering calculation cost under dynamic topology are effectively solved, and a digital model with fine geometry and a realistic material can be efficiently recovered from a multi-view image.

The invention provides a GPU-based parallel tetrahedral mesh optimization method, system and device and a medium, and relates to the technical field of numerical simulation. Comprising the steps of generating a triangular mesh covering a surface for a three-dimensional geometric model; generating an initial tetrahedral mesh based on the triangular mesh; performing a round of point smoothing operation on each tetrahedron by using a plurality of GPU threads; carrying out iterative circulation of the combination optimization operation, and simultaneously carrying out a round of point smoothing, edge deletion and multi-surface deletion operation on a plurality of initial tetrahedrons by utilizing a plurality of GPU threads; and when the edge deletion operation and the multi-surface deletion operation cannot further improve the grid quality, simultaneously performing a round of edge contraction and edge segmentation operation on the plurality of initial tetrahedrons by utilizing the plurality of GPU threads. According to the method, the large-scale grid with reliable quality is quickly generated based on the low-quality input grid, and the grid optimization rate is improved, so that the requirement of large-scale unstructured grid optimization in a three-dimensional space is met.

The invention belongs to the field of electromagnetic field numerical solution, and particularly provides a finite element mesh adaptive method for network parameter analysis of a multi-port microwave device, which comprises the following steps: firstly, establishing a geometric structure of the multi-port microwave device, setting simulation frequency, excitation and boundary conditions, and establishing an electromagnetic simulation model; secondly, performing preliminary division and finite element electromagnetic simulation calculation on a computational domain by adopting a tetrahedral mesh to obtain a numerical solution corresponding to each group of excitation, and synthesizing results based on a posterior error estimation method for posterior error estimation; and finally, according to a posterior error indication grid encryption parameter, carrying out simulation calculation again after encryption, and repeating the process until the solution meets the precision requirement. In conclusion, by combining the characteristics of a finite element algorithm and the characteristics of an error estimation algorithm, in the microwave device network parameter analysis process, multiple sets of excited numerical solutions are comprehensively used for posterior error estimation and grid adaptive encryption indication, so that the analysis precision of network parameters is improved.

The invention relates to a transient electromagnetic detection method with efficient detection, which is mainly used for realizing efficient acquisition of electromagnetic data inside and outside a loop source by using a multi-channel parallel sampling method in the aspect of data acquisition, and ensures the stability and the high efficiency of the data acquisition process by optimizing a sampling strategy. In the aspect of data processing, the invention provides a three-dimensional transient electromagnetic inversion algorithm based on non-structural tetrahedral mesh discretization, the algorithm adopts an advanced numerical calculation method and an L-BFGS optimization method, an inversion model is continuously optimized, the accuracy and stability of inversion are improved, and the accuracy and stability of data acquisition are improved. And high-precision inversion is carried out on the collected transient electromagnetic data, so that accurate description of three-dimensional distribution of the underground medium is realized.

The invention provides a well-ground frequency domain electromagnetic detection method and device and electronic equipment, and the method comprises the steps: setting a perfect matching layer based on stretching coordinate transformation at the outer side of a model based on a three-dimensional geologic model, constructing an overall computational domain, facing the overall computational domain, and implementing adaptive mesh generation according to posterior error estimation. And generating an unstructured tetrahedral mesh which is locally refined in a target area, and on the tetrahedral mesh, performing spatial discretization and solution on a frequency domain Maxwell equation by adopting a first-order or second-order vector finite element in an H (curl) space to realize well-ground frequency domain electromagnetic forward modeling calculation. According to the method, through cooperation of the adaptive grids and the vector finite elements under the microframework, both precision and efficiency are considered, forward modeling stability and imaging resolution are improved, and a scientific basis is provided for efficiency improvement and cost saving of mineral resource exploration and development.

The invention relates to the field of geophysics, and discloses a conductivity block continuous change magnetotelluric three-dimensional inversion method, and the method comprises the steps: adding a model constraint term based on the conductivity of a non-structural tetrahedral mesh node into a target function, and obtaining an inversion target function expression; enabling the norm of the conductivity variation of the unit and the surrounding unit to be minimum, and solving a model constraint term to obtain the model constraint term based on the tetrahedral mesh node conductivity; carrying out gradient solution on the inversion objective function expression; specific expressions of elements in stiffness matrix gradients under four different conditions are solved, gradient components of stiffness matrixes corresponding to all nodes are solved, and then the objective function gradient is solved in magnetotelluric inversion; according to the method, updating of the node conductivity model during three-dimensional underground medium inversion is achieved, unknown numbers generated in the inversion process are greatly reduced, the uniqueness of a solution is improved, meanwhile, the time needed by the inversion process is greatly shortened, and a better inversion effect is obtained.

The invention discloses an oral cavity finite element simulation calculation method based on collision detection. The method comprises the following steps: 1) acquiring oral scanning data of teeth, generating surface grid data of the invisible appliance according to the oral scanning data, and then generating a tetrahedral grid from the surface grid of the invisible appliance for subsequent simulation calculation; 2) on the basis of collision detection, calculating a pushing vector of teeth to the invisible appliance, and taking the pushing vector as a displacement boundary condition of subsequent calculation; 3) constructing a three-dimensional finite element model taking voxels as units, calculating an element stiffness matrix, assembling an overall stiffness matrix, loading displacement boundary conditions, forming a finite element solution equation set, and obtaining a model node displacement result; and 4) calculating stress and strain of the finite element model according to a displacement result. Aiming at the orthodontic mechanical analysis of the invisible orthodontic appliance, the invention provides a modeling method for the interaction between the teeth and the invisible orthodontic appliance based on a collision detection technology, completes the subsequent simulation solution of a finite element model, and gives consideration to the solution precision and speed.

The invention relates to the technical field of biomedical engineering and microfluidics, in particular to a fluid dynamics topological optimization design method of a circulating tumor cell sorting structure, which comprises the following steps of: establishing a three-dimensional flow field model containing a key separation area in a preset design domain, dispersing by adopting a tetrahedral mesh and setting boundary conditions; the method comprises the following steps: establishing a multi-objective optimization function based on a maximized transverse focusing distance, a minimum shear force peak value and a total pressure drop, dispersing a design domain into units and endowing the units with density variables, and realizing global automatic topological optimization by adopting penalty material interpolation and minimum flow velocity threshold constraint. An optimization result is subjected to structural reconstruction processing to generate a CAD model adaptive to micro-nano machining, closed-loop feedback is formed through secondary verification and experimental verification of computational fluid mechanics, it is ensured that the design meets the requirements for sorting efficiency and cell activity, limitation of a traditional flow channel form is broken through, and the design freedom degree, manufacturability and application value are improved.

The invention relates to a novel stable node integral calculation method based on hourglass control, and the method comprises the steps: dividing a problem domain into a triangular or tetrahedral mesh, and dividing a mesh integral domain into a plurality of non-overlapping node integral domains based on nodes in the triangular or tetrahedral mesh; performing node domain smoothing on the node integral domain based on the triangular / tetrahedron strain component of the node to obtain a smooth domain; hourglass control between a node and an adjacent node is constructed in the smooth domain, and hourglass force between the node and the adjacent node is calculated; and superposing the hourglass force borne by the node with the original internal force calculated by node integration to obtain the internal force of a stable node integration method, and solving a discrete motion equation in explicit dynamics based on the internal force of the stable node integration method to obtain a dynamic response. According to the method, the calculation precision based on the unstructured grid is greatly improved, and the advantages that the number of integration points of node integration is small and the grid distortion resistance is high are effectively kept.

The invention relates to the technical field of geophysical electromagnetic data exploration, in particular to a three-dimensional time-frequency domain electromagnetic joint inversion method based on a finite element algorithm. The method comprises the following steps: respectively acquiring time domain and frequency domain electromagnetic observation data of a to-be-measured region; dividing a to-be-measured region to obtain a non-structural tetrahedral mesh to construct a time-frequency domain inversion initial model; performing forward modeling calculation on the time-frequency domain inversion initial model to obtain time domain and frequency domain electromagnetic response data; obtaining a time domain electromagnetic data residual error and a frequency domain electromagnetic data residual error, respectively obtaining corresponding adaptive weights, and establishing a joint inversion objective function; performing iterative solution on the joint inversion target function, and calculating an update vector of the inversion initial model; and iteratively updating the initial inversion model until a set condition is met, and completing the time-frequency domain electromagnetic joint inversion. According to the method, the accuracy of three-dimensional inversion is effectively improved through joint inversion, so that the practical effect of three-dimensional inversion is enhanced.

The invention discloses a time domain discontinuous Galerkin electromagnetic simulation method and system based on a Robin transmission condition, and the method comprises the following steps: carrying out the geometric modeling of a to-be-simulated model, setting a boundary condition and an excitation source, and obtaining a to-be-simulated geometric model; performing tetrahedral mesh generation on the geometric model to be simulated to obtain a subdivided model; performing region division on the subdivided model to obtain a plurality of sub-regions; selecting a time step length, and determining the position of a sampling point in the sub-region; and calculating time domain results of all time steps by using a time domain discontinuous Galerkin electromagnetic field simulation method, and completing electromagnetic simulation. Compared with an existing FETD method, the method has the advantages that the model is divided into a plurality of sub-domains for parallel calculation by combining regional decomposition with a Robin transmission condition, the problem that a large-size model is difficult to calculate is solved, and the calculation efficiency is higher while the precision is guaranteed.

The invention relates to a simulation analysis-based alkaline electrolytic cell stretching net flow channel optimization method. The method comprises the following steps: 1, establishing a zero-clearance stretching net flow channel alkaline electrolytic cell numerical simulation model; 2, a free tetrahedral mesh is adopted to divide a computational domain, a boundary layer mesh is divided near a flow boundary, and angle refinement is set in a whole flow area to encrypt the density of the mesh; 3, initializing an electric field; 4, calculating a flow field; 5, thermal field calculation; 6, post-processing a result; 7, analyzing the influence of different stretching net structures on the working characteristics of the alkaline water electrolyser through multi-physics field coupling simulation, and optimizing the design scheme on the experimental basis; according to the method, the tensile net alkaline electrolytic cell model is established, the electrochemical field, the flow field and the thermal field are distributed and coupled, the reaction gas production process is simplified through the step function, the simulation calculation amount is reduced, the model convergence is better improved, the method acts on tensile net flow channel structure optimization, and the performance of the tensile net flow channel alkaline electrolytic cell is improved.

A well wall stability prediction and optimization system based on real-time monitoring data relates to the technical field of oil drilling and comprises the following steps: acquiring real-time multi-source sensing data of a target well wall, marking an acquisition moment and setting an acquisition period; constructing a three-dimensional geometric model of the well wall and a stratum geometric model; setting a transition area, and performing grid division on the three-dimensional geometric model, the stratum geometric model and the transition area; acquiring scene features of each tetrahedral mesh in the three-dimensional geometric model and the stratum geometric model; performing real-time monitoring on the scene features of each tetrahedral mesh; and carrying out stability evaluation on each tetrahedral mesh, and carrying out mesh density refinement operation or prediction operation based on an evaluation result. According to the method, the accuracy and reliability of well wall stability prediction and optimization are improved, and the efficiency and safety of drilling engineering are improved.

The invention provides a method and device for generating a three-dimensional tetrahedral mesh in parallel based on a graphics processor, and the method comprises the steps: carrying out the processing of an obtained discrete point set based on a preset unit mesh, and obtaining a mapping relation between the discrete point set and the preset unit mesh; based on the mapping relation and a three-dimensional local Delou inner lemma, a thread constructed by a graphics processor is used for calculating a target neighborhood of each target point in the discrete point set in parallel, and a calculation task of the thread is limited by a preset calculation limit; for each second target point of which the calculation demand exceeds the calculation limit, based on the mapping relationship and a three-dimensional local Delou inner lemma, calculating a target-neighborhood of each second target point in parallel by using a thread block constructed by a graphics processor to obtain a target-neighborhood set corresponding to the discrete point set; and generating a three-dimensional tetrahedral mesh corresponding to the discrete point set according to the target neighborhood set corresponding to the discrete point set.

The invention relates to an aircraft simulation design method based on tetrahedral mesh secondary boundary layer generation. The method comprises the following steps: reading an aircraft geometric model file, establishing a far field bounding box by taking an aircraft as a center, and generating a tetrahedral mesh of an external flow field by using an unstructured mesh generation technology; generating an integral grid with a boundary layer between the triangular grid and the tetrahedral grid of the specified curved surface, wherein the integral grid has a specified layer number, a specified first layer height and a specified growth rate; exporting the integral grid with the boundary layer as a universal grid file in a cgns format, storing, solving and calculating to obtain a numerical result of viscous flow near the boundary layer in the shape of the aircraft; and according to a numerical result, analyzing a physical phenomenon existing near the boundary layer region in the current aircraft appearance, and when the aircraft appearance reaches a required aerodynamic performance index, outputting a final aircraft geometrical shape. By adopting the method, the robustness can be improved, and the simulation design period of the aerodynamic configuration of the aircraft can be shortened and optimized.

The invention relates to the field of X-ray digital imaging and computer graphics, and discloses a multi-model virtual X-ray image generation method and related equipment, and the method comprises the steps: receiving rays emitted by an X-ray source simulating a real emission source to each pixel point of a detector; loading the model data to obtain a tetrahedral mesh data file, and extracting geometric information of the tetrahedral mesh data file; detecting intersection information of the ray and the tetrahedral mesh data file, and outputting intersection point data according to the intersection information; calculating the attenuation value of each ray penetrating through the loading model to reach a detector pixel by utilizing the Beer-Lanbo law according to the intersection point data; through the GPU acceleration technology, the calculation efficiency of virtual X-ray image generation is improved, and the calculation time is shortened, so that the requirement of real-time application is met, the imaging precision and authenticity are improved, the interpolation error is reduced, and the method is closer to actual radiation distribution.

The invention discloses an automatic radiation noise simulation method, device and equipment of acoustic finite element software and a storage medium, and relates to the technical field of noise simulation, and the method comprises the steps: obtaining a grid size and a convex hull grid distance according to a geometric model, a material and a frequency input by a user; performing mesh generation on the surface of the geometric model based on the mesh size to obtain a surface mesh; obtaining a convex hull grid based on the convex hull grid distance and the surface grid; generating a tetrahedral mesh in an area between the surface mesh and the convex hull mesh; based on the surface grid, the tetrahedral grid and the convex hull grid, acoustic radiation noise simulation is carried out, full-process autonomous generation from simulation input to grid calculation is realized, and the efficiency problem of grid division and boundary setting depending on artificial experience in the prior art is solved. The calculation precision is guaranteed, meanwhile, the pretreatment workload is reduced to the degree that only basic parameters need to be input, and the operation complexity of radiation noise simulation conducted by acoustic finite element software is reduced.

The invention belongs to the technical field of metal corrosion numerical simulation analysis, and particularly relates to an aviation metal braided conductor point cloud data entity modeling method based on cellular corrosion, which comprises the following steps: S1, establishing a three-dimensional cellular space for simulating an aviation metal braided conductor corrosion environment; s2, conducting wire corrosion process simulation modeling according to the three-dimensional cellular space, and determining wire cellular transformation and diffusion rules and corresponding corrosion and diffusion probabilities; s3, constructing a lead cell three-dimensional space point cloud equation, and generating lead grid units; and S4, splicing the wire tetrahedral mesh units to generate a smooth curved surface, and completing aviation metal braided wire point cloud data materialized modeling. According to the method, the three-dimensional discrete points, generated in the cellular automaton, of the aviation metal braided conductor can be converted into entities in finite element simulation software, the complex surface appearance of the aviation metal braided conductor is reserved, the conversion process from simulation to an entity model is optimized, and the method is good in applicability.

The invention discloses a spherical domain magnetotelluric non-structural vector finite element inversion method capable of automatically modeling, which comprises the following steps of: automatically establishing a spherical domain initial model through global topographic data, and performing spatial discretization by using a non-structural tetrahedral mesh to realize three-dimensional magnetotelluric non-structural finite element solution of two polarization modes in a spherical domain; constructing a spherical domain magnetotelluric three-dimensional regularization inversion objective function according to the actual observation data and the prediction data; adopting adjoint forward modeling to solve a Jacobian matrix and a product of transpose and a vector of the Jacobian matrix, and utilizing a nonlinear conjugate gradient method to realize iterative inversion of spherical domain magnetotelluric, so as to obtain a final inversion model and complete spherical domain magnetotelluric non-structural vector finite element inversion. According to the method, spherical domain magnetotelluric non-structural vector finite element inversion is realized, errors caused by coordinate projection can be avoided, and a large-scale inversion result is more accurate and more conforms to a real earth model.

The invention discloses a transient electromagnetic fast forward modeling method based on an integral restart algorithm, which adopts a vector finite element method discrete control equation of a tetrahedral mesh, and writes a secondary field at any moment after a current is turned off into a form of multiplying a matrix exponential function f (A) by a vector b. Firstly, calculation of a matrix exponential function f (A) is converted into an integral form by using a Gauss-Legendre numerical integration technology, then approximation is performed on the integral by using an Arnoldi algorithm, and finally rapid forward modeling is realized. According to the method, the convergence speed is high, the memory occupation is low, and the instability problem caused by error accumulation in the Arnoldi algorithm restarting process can be avoided.

A phase change material cantilever beam structure light-heat-mechanical coupling performance joint simulation method comprises the following steps: integrating a wave optics module, a solid heat transfer module and a solid mechanics module in multi-physics field simulation software (such as COMSOL), and constructing a three-dimensional model containing a photon metamaterial layer and a phase change material cantilever beam; a light-heat-mechanical basic coupling framework is formed through a temperature correlation interpolation function; setting conditions such as photon metamaterial boundary excitation and cantilever beam anchor region constraint; optical-thermal-mechanical closed-loop iterative coupling is realized by using an electromagnetic thermal interface and a thermal expansion interface; a free tetrahedral mesh is adopted, and a tip contact area of the cantilever beam is refined; influences of incident light wavelength and the like on light absorption and a temperature field are analyzed through parameter scanning, and structural parameters are optimized. According to the method, the problem that traditional cantilever beam simulation lacks multi-physics field coupling is solved, full-chain dynamic simulation is achieved, device design efficiency and precision are improved, parameter matching is optimized, technical support is provided for device design, cost is reduced, and related MEMS sensor development is assisted.

The invention discloses an explosive shock wave intelligent mixed numerical simulation method, device and equipment, and relates to the field of numerical simulation, and the method comprises the steps: determining a computational domain range, grid node information and simulation termination time of an explosive shock wave simulation problem, and constructing a tetrahedral grid; initializing a physical flow field based on a computational domain range, and constructing a flow field analysis model based on the tetrahedral mesh; using a mean total variation bounded discontinuous detection method to identify a discontinuous region and a smooth region in a computational domain range; for the discontinuous region, reconstructing physical parameters in the flow field analytical model by adopting a non-structural multi-resolution weighted essential oscillation-free reconstruction method, and for the smooth region, reconstructing physical parameters in the flow field analytical model by adopting a linear windward reconstruction method; and performing spatial discretization on the physical flow field based on the flow field analysis model, then performing time discretization, and obtaining a numerical simulation result until the calculation time exceeds the simulation termination time. According to the invention, optimal balance of precision and efficiency is realized.

The invention provides a tetrahedron classification method and system based on geologic body surface grids, and relates to the technical field of geologic modeling. The method comprises the following steps: acquiring closed surface grid data of a plurality of geologic bodies; performing tetrahedral subdivision on the closed surface grid to obtain a corresponding tetrahedral grid; performing category division on the subdivided tetrahedrons based on a partition strategy and a priority strategy according to the spatial geometric information and the attribute labels of the geologic body to obtain tetrahedron classification information; recognizing contact surfaces in the generated tetrahedral mesh, and generating a contact surface category matrix based on a boundary relationship among the plurality of geologic bodies; and outputting a tetrahedral mesh data structure containing tetrahedral classification information and a contact surface category matrix. The method can significantly reduce manual operation, improves classification precision and simulation efficiency, and is suitable for complex geological numerical simulation tasks.

The invention discloses a sea surface small target detection method and system based on a magnetic KNN and an optimized concave packet, and belongs to the technical field of radar signal processing. Comprising the following steps: extracting high-dimensional features of sea clutters and echoes to be detected, and selecting three-dimensional feature points of the clutters and the echoes to be detected according to a dimension reduction algorithm; processing the three-dimensional feature points of the clutters by adopting a constant false alarm algorithm to obtain clutter feature points after constant false alarm; on the basis of the clutter feature points after the constant false alarm, constructing a concave packet by adopting an optimized concave packet construction algorithm; the clutter feature points in the concave packet serve as vertexes of a tetrahedron, and the concave packet is divided into tetrahedral grids; positioning the points in the tetrahedrons by using a pointLocation function, judging the indexes of the tetrahedrons where the points are located, and if the indexes exist, judging that the points are clutters; and if the index does not exist, judging as a target. According to the detection method, the construction efficiency of the concave packet is also improved while the relatively high detection probability is ensured, and the method has relatively good generalization.

The invention discloses a multi-physical-field simulation calculation method and system for a high-voltage submarine cable anchoring device, and belongs to the technical field of ocean energy. The method comprises the following steps: constructing a finite element model of the submarine cable anchoring device based on a geometric model of the high-voltage submarine cable anchoring device; the finite element model of the submarine cable anchoring device carries out simulation area boundary condition and multi-physical field setting, after setting is completed, free tetrahedral mesh generation is carried out on a high-voltage submarine cable body and the anchoring device, the corresponding mesh size is selected according to the size of each part obtained after mesh generation, and the high-voltage submarine cable anchoring device is constructed. Obtaining a finite element simulation model of the submarine cable anchoring device; and in the finite element simulation model of the submarine cable anchoring device, performing multi-physics field coupling calculation to form a simulation calculation result. The method is based on finite element simulation software, three-dimensional modeling is carried out according to the actual arrangement condition of the high-voltage submarine cable anchoring device, and accurate description of physical fields around the anchoring device during operation of the high-voltage submarine cable is achieved.

The invention particularly discloses an application method of an efficient well flow unit for simulating a decompression wellbore in a three-dimensional finite element, and relates to the technical field of civil engineering precipitation. The method comprises the steps of firstly determining parameters such as a model calculation boundary, boundary conditions, permeability coefficients of soil layers, the position of a relief well and a water head; secondly, establishing a three-dimensional model to divide a delaunay tetrahedron unit grid, and simplifying a three-dimensional relief well into a one-dimensional well flow unit during modeling; then, on the basis of geometric properties of a tetrahedral mesh around a well flow unit and a unit flow weight coefficient, making a numerical solution equal to an analytical solution flow, and deducing to obtain a well flow unit water guide matrix; and finally, merging the well flow unit water guide matrix into the total stiffness matrix, and solving to obtain the high-precision flow of the decompression wellbore and the node water head of the model unit. According to the method, the calculation efficiency and the calculation precision are greatly improved, the precision is not changed in a large-grid-size model, the calculation time is greatly shortened, and the investment of calculation resources is reduced.

This invention belongs to the field of numerical electromagnetic field solution, specifically a mesh adaptive method based on reconstructive posterior error estimation. The invention first performs finite element modeling of the target microwave component, introducing boundary conditions and excitations to establish a corresponding electromagnetic simulation model. Then, a tetrahedral mesh is used to divide the solution domain, and finite element electromagnetic simulation analysis is performed on the model to calculate the electric field at the centroid of the four faces of the tetrahedral mesh. The least squares principle is then used to refit the electric field on the tetrahedral mesh to reconstruct a first-order linear fitting expression. Next, the reconstructed solution at the nodes is calculated using the reconstructed fitting expression, and posterior error estimation is performed based on the electric field at the nodes. Finally, the mesh is refined according to the error on the tetrahedral mesh, and finite element electromagnetic simulation analysis is performed again until the finite element solution meets the accuracy requirements. This invention has the advantages of simple engineering implementation, low computational cost, and high universality.