588 results about "Hexahedron" patented technology

The invention provides a gradient conformal dot matrix design method and system based on topological optimization density field mapping and application, and relates to the field of structural lightweight design. The design method comprises the following steps: dividing a model into conformal hexahedral grids, wherein the size of a grid unit is set as the size of a lattice cell element; on the basis of topological optimization pretreatment calculation, density field information of grid units is extracted, and a continuous gradient TPMS lattice structure is constructed on the basis of a three-way linear interpolation method through density field mapping; extracting space coordinates of TPMS unit cells of the density field corresponding to each conformal hexahedral grid unit; all vertex coordinates of the TPMS unit cells in the local coordinate system are converted into corresponding conformal hexahedral grid unit coordinates in the overall coordinate system based on isoparametric conversion; traversing all the conformal hexahedral grid units to obtain the gradient conformal TPMS lattice structure and outputting the gradient conformal TPMS lattice structure. According to the method, the defect that the mechanical property of the structure is influenced due to incomplete and non-conformal cells during traditional dot matrix filling can be overcome.

The invention discloses a riverway three-dimensional water flow numerical simulation method, and relates to the technical field of intelligent water conservancy simulation, and the method comprises the steps: generating a longitudinal long and narrow hexahedral mesh of a main riverway in a C gradient direction through employing a mucous network growth algorithm, and outputting a hexahedral mesh with a shear layer identifier; turbulence viscosity coefficient distribution is dynamically initialized through a DDPG reinforcement learning model, and turbulence parameters are output; inputting the hexahedral mesh with the shear layer identifier and turbulence parameters into a coupling solver, performing parallel numerical solution, and outputting transient flow field data; a lambda 2 criterion is adopted to identify a vortex core area and calculate a vorticity modulus, a transverse circulation is defined, an on-way distribution cloud picture is generated, an immersive VR scene is constructed through a Unity 3D engine, and a three-dimensional visual water flow simulation scene with a physical feature label is output. Through fusion of lambda2 criterion vortex identification and a Unity 3D visualization technology, a complete solution with both calculation precision and engineering practicability is provided for river flow simulation.

The invention provides a finite element analysis method for a competition-level site cross-country motorcycle frame, and belongs to the technical field of crossing of computer-aided engineering and vehicle structure design. The method comprises the following steps: performing parametric modeling on a frame main bearing structure based on CATIA software, and simplifying non-functional characteristics; importing the model into ANSYS Workbench, generating a high-precision finite element model by adopting a grid division strategy of mixing tetrahedron and hexahedron units, and considering the calculation efficiency and precision; defining material characteristics; a limit load working condition is simulated through statics analysis, a displacement cloud picture and a stress cloud picture are combined to be compared with the yield strength of a material, and topological optimization is conducted on a weak area; meanwhile, the inherent frequency of the frame is extracted through modal analysis, and the resonance risk is avoided. According to the method, statics analysis and modal analysis are carried out on the frame through cross-platform co-simulation, the structural reliability is evaluated, and the method is suitable for efficient development and performance optimization of competition-level cross-country motorcycle frames.

A method can include embedding a discontinuity as an object in a three-dimensional hexahedral grid that includes hexahedral cells and represents a geologic environment; cutting a number of the hexahedral cells by intersecting the object and the three-dimensional hexahedral grid to identify cut cells; constructing a topological three-dimensional hexahedral grid using a topology for the cut cells that includes spatially overlapping hexahedral cells and associated cut cell-face links; and generating results that characterize the geologic environment with the discontinuity using a system of equations that represent the geologic environment and the topological three-dimensional hexahedral grid.

The invention discloses a semiconductor physical model analysis method and system with strong initial value robustness. The method comprises the following steps of: subdividing a semiconductor physical model structure by adopting a hexahedron, calculating boundary conditions by utilizing semiconductor doping concentration based on subdivision grids, dividing regions through the boundary conditions, and calculating different initial values; substituting the initial value distribution into the normalized current continuity equation, current density equation and Poisson equation to generate a group of remainders; a current continuity equation, a current density equation and a Poisson equation are stably solved by introducing a variable parameter which is added before a remainder and gradually changes from 1 to 0, and a steady-state solution of a semiconductor physical model under a specific voltage bias condition is obtained. The method aims at effectively solving the problems that a traditional initial value solving method is difficult to converge and easy to diverge in a strong nonlinear semiconductor physical model.

To provide a box shaped high performance air filter which can inhibit deformation of a container during earthquake and achieve high pressure resistance to decompression.SOLUTION: A box shaped high performance air filter 1 includes: a filter body 10 which filters air passing therethrough; a hexahedron container 20 which houses the filter body 10 and has an inlet nozzle 32 (1) for introducing air, and an outlet nozzle 32 (2) for discharging air which has been filtered by the filter body 10 and is located on a surface opposite to the inlet nozzle 32 (1); and a reinforcement material 40 fastened to the container 20. The filter body 10 is adhered to an inner surface of the container 20 and the natural frequency is 20 Hz or higher.SELECTED DRAWING: Figure 1

The invention discloses a complex medium controllable source electromagnetic multi-parameter three-dimensional inversion method and system, and the method comprises the steps: carrying out the three-dimensional space discretization of an exploration region, and carrying out the multi-time iteration inversion of a discrete exploration region through initializing a multi-parameter geologic model based on a multi-parameter inversion target function, and obtaining a multi-parameter three-dimensional inversion result; wherein the multi-parameter inversion objective function comprises a data fitting constraint, a model constraint and a cross gradient constraint, and the multi-parameter model comprises resistivity, magnetic conductivity, a charging rate, a frequency correlation coefficient and a time constant; and a hexahedral mesh discrete calculation region is adopted in inversion, and a finite element linear equation set is obtained through a vector finite element method, so that multi-parameter three-dimensional forward modeling calculation is realized. According to the method, the induced polarization effect and the magnetic conductivity influence are considered at the same time, multi-parameter three-dimensional inversion is achieved, the application precision and reliability of the controllable source electromagnetic method under the complex geological condition are remarkably improved, and rich geophysical basis is provided.

The invention discloses a mixed hexahedron magnetic data inversion method based on random weighting, and belongs to the field of magnetic signal processing, and the method comprises the steps: carrying out the space division of an underground inversion region through employing a structure and non-structure combined mixed hexahedron grid, and discretizing an underground space into N hexahedron units; generating projection geometries with different size parameters and spatial positions through random assignment, embedding the projection geometries into the subdivided grid model, repeating N times to construct N independent N * 1-dimensional model column vectors, and then performing random sequential splicing to obtain an N * N-dimensional random weighting matrix; constructing an inversion objective function based on the random weighting matrix, and solving to obtain weighting domain magnetization intensity; and in combination with a random weighting matrix and a solving result, obtaining spatial distribution of three-dimensional magnetization intensity, and realizing construction of an inversion image. According to the invention, rapid and fine inversion of the geophysical magnetic data under the rugged topography is realized, and the inversion precision and reliability of the magnetic survey data under the complex topographic condition are improved.

The invention provides a projection transformation method for hexahedral panoramic data to spherical panoramic data, and the method achieves the seamless splicing of panoramic images of six surfaces of a cube and the mapping of the panoramic images to a spherical coordinate system through the determination of a direction vector, the normalization of the vector, the conversion of spherical coordinates, the projection to an equidistant histogram, and an illumination and color correction algorithm. The problems of splicing gaps, deformation, texture distortion and the like in a traditional method are solved. The method is not only widely applied to the fields of virtual reality, augmented reality, panoramic video production and the like, but also greatly expands the application scenes, including but not limited to panoramic roaming, streetscape roaming experience, integrated use of specific roaming plug-ins, seamless embedding on a map platform and the like, and has wide application prospects. Therefore, the display effect of the panoramic data and the immersive experience of the user are remarkably improved.

The invention discloses a scene preprocessing method for fire simulation, and relates to the technical field of building fire simulation, and the method comprises the steps: calculating a three-dimensional thermal weight through employing a fire propagation dynamics model, and generating a fire dangerous region thermal diagram; through a tensor field generation algorithm, fire behavior main diffusion direction and each axial anisotropic parameter are extracted, and fire behavior grid parameters are generated; through a hybrid grid generator, performing hexahedron dominant grid construction and increasing the grid density of a fire behavior dangerous area to obtain a fire behavior optimization hybrid grid; performing Reynolds number verification and boundary layer matching on the fire behavior optimization hybrid grid through a fire behavior feature adaptive algorithm, and performing iterative correction to generate a fire simulation correction grid; according to the invention, through the hybrid grid generator, the self-adaptive distribution of the grid density of the fire hazard area and the smooth connection of the transition area are realized, so that the grid distribution of the fire hazard area is accurately matched with the fire spreading characteristics.

The invention discloses a soft tissue constitutive parameter calibration method in a soft tissue-skeleton bird body model for bird strike simulation, and the method comprises the construction of a soft tissue-skeleton bird body finite element model and finite element reverse analysis based on flat bird strike. Dividing wing bones, leg bones and head and neck parts in the bones of the bird body into hexahedral unit grids, dividing wishbones, pecking bones, fossil protrusions and ribs into shell units, and dividing soft tissues into SPH particles; further obtaining bone elastic-plastic constitutive parameters through a static compression test, and endowing the bone units with the bone elastic-plastic constitutive parameters; an objective function is set as a mean square error between a flat plate center point pressure-time curve obtained by a real bird body impact flat plate test and corresponding curve data calculated by soft tissue-skeleton bird body impact flat plate finite element simulation, and soft tissue constitutive model parameters are inversely calibrated by adopting a genetic algorithm; and model and material parameter support is provided for bird strike simulation of a high-fidelity aircraft structure.

The invention provides an earth crust spectrum unit optimization modeling method suitable for strong seismic wave field simulation under complex topographic conditions, and relates to the field of seismic engineering, and the method comprises the steps: determining topographic parameters of a research area; according to wave velocity structure parameters of a research area, determining a mesh refinement multiple, and obtaining a minimum distance from a wave velocity contour surface to the bottom; determining the position of a refinement conversion layer of the earth crust spectrum unit; determining the total number of three-way units before mesh refinement according to the position of the earth crust spectrum unit refinement conversion layer; carrying out mesh generation in the whole domain by adopting hexahedron units; according to the layer number of the earth crust spectrum units at the upper part of the conversion layer, carrying out superficial earth crust model refinement processing; and calculating grid quality, counting the number of the earth crust spectrum units to obtain an expected value of the earth crust spectrum units, and comparing the expected value with the estimated value. According to the method, the quality problem of the spectrum unit during modeling of the earth crust structure in regions with complex topographic conditions such as alpine and canyon can be solved, meanwhile, the calculation freedom degree is reduced to the minimum, and stable and low-cost seismic oscillation simulation based on the spectrum element method is achieved.

The invention provides a finite element mesh automatic generation method and system based on multi-geometric-form block mapping. The generation method comprises the steps that a key area, a transition area and a non-key area of a target geometric model are determined; automatically segmenting the target geometric model by using a block partitioning mode; wherein a hexahedron block is constructed in the key area, a multi-geometric-form block is constructed in the transition area, and a block in any form is constructed in the non-key area; after the step 2, mapping the hexahedron block to generate a hexahedron mesh, generating the hexahedron mesh by using the multi-geometric-form block according to a pre-mapping rule, and filling the block in any form by using a target algorithm; and performing quality adjustment on the grid file obtained in the step 3, and outputting a hybrid grid file. By adopting the prediction method and introducing a multi-geometric-form partitioning mode, a user can perform hybrid partitioning on a specified key area to realize automatic generation of the block, so that the success rate of block partitioning is ensured, and the iterative calculation amount of automatically generating the block is reduced.

The utility model relates to an experimental device for detecting learning memory of insects. The experimental device comprises a smell conveying device and a conditional training device. The smell conveying device comprises an air pump which is connected through a hose and located outside the box body, and an air filter, an air humidifier / flowmeter, a smell source chamber and a smell release pipe which are sequentially connected through the air pump through hoses, the conditioned training device is composed of an isolation chamber and an insect body fixator, the isolation chamber is of a hexahedron structure, the right face of the isolation chamber is provided with an opening, and the opening face is provided with an air outlet; the odor releasing pipe penetrates through the left side face of the isolation chamber and forms an included angle of 15-45 degrees with the bottom face of the isolation chamber, the left side, the front side, the rear side and the upper face of the isolation chamber are composed of light transparent thin plates, the bottom face is wrapped with a film, a micro-hole is formed in the center of the film on the bottom face, the insect body fixing device is located below the micro-hole of the isolation chamber, and an exhaust fan is arranged on the right side wall of the box body. The device is reasonable in structure, and can evaluate whether insects can establish the combined learning and memory ability of conditional odor stimulation and volatile compound or non-volatile food intake.

The invention discloses a method for establishing a mesoscopic finite element model of a double-layer reinforced concrete structure, and belongs to the technical field of mesoscopic simulation of concrete structures. According to the method, steel bars meeting requirements are arranged in a preset area, and finite element grid node processing is conducted on an aggregate putting area. According to the method, grid division is directly completed in the aggregate generation process, so that an overall model is constructed, and the model adopts eight-node hexahedron units and has high similarity with a real reinforced concrete structure. Compared with other methods, the modeling time of the model is short, the convergence of a calculation result is good, and the method is suitable for various static and dynamic test simulations.

The invention relates to a method, a device and equipment for estimating the bulk cargo loading and unloading dust release amount of a port environment and a medium, and the method comprises the steps: dividing the port environment through employing a hexahedral grid with a non-uniform volume according to the distance of a bulk cargo loading and unloading interval and a bulk cargo particle value; determining wind erosion information of each hexahedral mesh under single disturbance according to historical wind power information through estimation of a dynamic wind erosion release factor, and determining static wind erosion dust capacity of each hexahedral mesh under single disturbance according to the bulk cargo particle value and the wind erosion information of the bulk cargo; determining a dust loading and unloading coefficient according to the dust release amount and the loading and unloading mode of the bulk cargo particle value during dynamic operation through an attention mechanism; according to the dust release amount, the bulk cargo dust loading and unloading coefficient and the static wind erosion dust amount of each hexahedral mesh under single disturbance, the dynamic dust emission amount is determined; and determining an estimation result of the bulk cargo loading and unloading dust release amount according to the static wind erosion dust amount, the dynamic dust emission amount and the duration of the bulk cargo in the single loading and unloading process.

The invention provides a tree wind-induced response evaluation and analysis method, and relates to the technical field of disaster prevention and reduction engineering, and the method comprises the steps: carrying out the construction of a geometric model for a target tree; on the basis of the geometric model, CFD analog simulation is carried out, and wind pressure time history data and crown load data of CFD grid points of the branches under different wind field conditions are obtained; finite element mesh generation is carried out on the geometric model, a finite element model is constructed, and mesh unit types in the model comprise hexahedron units, tetrahedron units and wedge-shaped units; the branch wind pressure time history data and the crown load data are mapped to the surface of a finite element model, structural finite element analysis is carried out, and cloud chart data of stress and displacement of the target tree changing along with time under different wind field conditions are obtained; and carrying out wind-induced response analysis and wind resistance evaluation on the target tree based on the cloud picture data and the wind-induced damage criterion of the tree. According to the technical scheme, a scientific basis can be provided for understanding the response behavior of the target tree under the strong wind condition.

The invention discloses a hexahedral mesh intelligent simplification method with guaranteed analysis precision, and belongs to the technical field of hexahedral mesh simplification, and the method comprises the following steps: 1, carrying out the feature extraction of layers and columns of a hexahedral mesh, including geometric features, topological features, quality features and physical features; step 2, carrying out validity check on the layers and the columns; 3, predicting the deletion probability of a deletable layer / column based on the constructed simplified neural network HSimNet; and step 4, executing layer / column deletion operation. According to the method, physical characteristics of layers and columns are introduced into hexahedral mesh simplification for the first time, model simplification is associated with physical problems, geometric characteristics are introduced into hexahedral mesh simplification, and layer and column structures causing geometric ineffectiveness of the mesh are pre-judged, so that geometric effectiveness of the simplified mesh is guaranteed; topological features and quality features are introduced into hexahedral mesh simplification, so that the overall quality of the simplified mesh is ensured.

The invention relates to the technical field of electromagnetic simulation, in particular to a W-band antenna pointing angle simulation analysis method, which comprises the following steps: acquiring the size of a W-band antenna and the form of a radiation unit, extracting main lobe curvature and feed matching characteristics, identifying a main lobe edge interference path, and adjusting a reflection phase to form a dynamic reflectivity boundary. Dividing tetrahedron and hexahedron grids to evaluate polarization consistency, optimizing a field intensity relationship between a main lobe and a side lobe, screening an angle interval, and obtaining a directional angle correction parameter. According to the invention, the specific size and form of the antenna are acquired, the curvature distribution of the main lobe coverage area and the matching relation with the feed structure are deeply analyzed, and the reflection intensity difference between the main lobe path and the side lobe path is monitored, so that the pointing precision and the coverage efficiency of the antenna are effectively improved; according to the antenna design, the performance is ensured, the specific area can be optimized, and the predictability and the stability of the antenna performance are remarkably improved.

The invention discloses a modular multi-size cubesat attitude control integrated system suitable for batch production, and relates to the technical field of satellites. Comprising a structural unit, an attitude monitoring subsystem, an attitude control subsystem, a data processing subsystem, a data transmission communication subsystem and a power supply subsystem, and the five subsystems are installed on the structural unit. The structural unit is a hollow hexahedron composed of six mounting plates; the attitude monitoring subsystem is electrically connected with the power supply subsystem and is also connected with the data processing subsystem through a signal line; the attitude control subsystem is electrically connected with the power supply subsystem and is also connected with the data processing subsystem through a signal line; the data processing subsystem is electrically connected with the power supply subsystem and is also connected with the data transmission communication subsystem and the power supply subsystem through signal lines; the data transmission communication subsystem is electrically connected with the power supply subsystem. The system has the advantages of being short in development and final assembly period, light in structure, unified in interface, multiple in function, good in expandability, capable of being used in a multi-size compatible mode and suitable for batch production.

The invention discloses a magnetic method data physical property inversion method and system based on a deep learning terrain disturbance layer, and relates to the technical field of geophysical exploration, and the method comprises the steps: building a magnetic anomaly data set, generating an underground three-dimensional magnetic anomaly model through a mixed hexahedron model and a terrain disturbance function, and obtaining corresponding magnetic anomaly data through forward modeling, each group of magnetic anomaly data corresponds to different terrain parameter combinations; constructing a deep learning inversion network model based on UNet; and training the deep learning inversion network model based on the magnetic anomaly data, taking the trained training set parameters as the weight of the deep learning inversion network, verifying the effect by using the verification set after the training is finished, and predicting the effect according to the test set. According to the method, a traditional same-dimensional random projection inversion method is combined with a deep learning network structure, and dynamic transformation of terrain parameters is realized by using a terrain disturbance layer, so that the network keeps high inversion precision and stability under different terrain fluctuation conditions.

Disclosed in the present invention are a dynamic visualization method, system and device for a three-dimensional geological model, and a storage medium. The method comprises: performing voxelization processing on a geological body model, so as to obtain cell position attribute information corresponding to the geological body model; determining whether the cell position attribute information meets a preset model position condition; if the cell position attribute information meets the preset model position condition, obtaining cell value attribute information on the basis of sample point data and by means of a three-dimensional interpolation algorithm, and obtaining a regular hexahedral grid model on the basis of layer number information, a cell index number, the cell position attribute information and the cell value attribute information; performing triangular-face intersection on the geological body model and the regular hexahedral grid model, so as to obtain a corner-point grid model; and performing dynamic visualization on the basis of the regular hexahedral grid model and the corner-point grid model. In the present invention, the regular hexahedral grid model and the corner-point grid model are obtained by means of a voxelization algorithm, the three-dimensional interpolation algorithm, and an intersection algorithm for a geological body and a regular hexahedron, thereby realizing a dynamic visualization function of a three-dimensional geological model.

The invention discloses a robot loading and stacking method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the steps that loading space information, target object information and placement attitude information of a target object are obtained, the loading space information is used for describing information of a three-dimensional space formed by combining one or more hexahedrons, and the target object information is used for describing information of a cube with a length value, a width value and a height value; based on a knapsack algorithm and a multi-target optimization algorithm, according to the loading space information, the target object information and the placement attitude information of the target object, generating a target object arrangement scheme; and according to the target object arrangement scheme, the movement track and the operation posture of the robot from the feeding point to the placing point are planned, and a loading and stacking scheme is obtained.

The invention discloses a shale reservoir fracturing casing deformation calculation method, and relates to the technical field of shale oil and gas development. The method comprises the following steps: fusing microseism, logging, rock core and drilling and logging data, and constructing a fracture network-geomechanics coupling model; calculating a direction cosine matrix according to the fracture three-dimensional stress and the inclination angle, evaluating an activation risk, and screening out high-risk fractures; the triangular mesh boundary element solves the slippage as a displacement boundary, and an eight-node hexahedron elastic-plastic casing mesh is utilized to iteratively calculate a casing variable and draw a cloud picture; and a micro-seismic data real-time iteration model is newly added along with construction, and the perforation cluster distance, the fracturing scale, the displacement and the well spacing are dynamically optimized. According to the method, a large amount of on-site microseismic data is fully utilized, reservoir fracture fine description and slippage risk analysis are achieved, shaft multi-point casing variable prediction is completed, and key technical support is provided for deep shale gas development fracturing scheme decision and risk avoidance.

The invention discloses an industrial-grade printed circuit board heat exchanger design optimization method based on structured grid division and an artificial neural network, and the method comprises the steps: S1, carrying out the modeling of a heat exchanger based on a structured grid division method, and segmenting an end socket of the heat exchanger into a plurality of hexahedron structures, a flow channel of the heat exchanger is built into an agent flow channel model in the axial direction; s2, key parameters of a heat exchanger runner are extracted through a proxy runner model, and flowing and pressure drop characteristics of fluid in the runner are calculated; S3, based on the computational fluid mechanics simulation technology, a velocity field, a pressure field and flow distribution of the fluid in a heat exchanger end socket are obtained; s4, dividing control bodies for the heat exchanger based on a finite volume method, establishing a heat exchange amount and efficiency calculation program of the heat exchanger, and obtaining the efficiency of the heat exchanger; and S5, an artificial neural network training model is introduced, a multi-objective optimization algorithm is applied, the thermal hydraulic performance of the heat exchanger is optimized, a Pareto leading edge is generated, and multiple design selections are provided for designers to refer to.

The invention discloses an aerated building block geometric dimension intelligent detection method based on three-dimensional point cloud reconstruction, and the method comprises the steps: collecting and processing multi-view point cloud data, and generating a complete point cloud data set covering six surfaces; executing self-reference calibration based on hexahedron features, and generating a standardized point cloud data set; inputting the multi-modal input into an improved SegFormer model, extracting geometric features and calculating a variance; executing weighted segmentation and topological optimization based on the geometric features, and outputting geometric parameter data; calculating the geometric dimension of the aerated building block, and combining the spatial covariance to generate a precision calibration result; and fusing variance information to establish a space-time coupling judgment mechanism, and outputting a detection report and a detection result. According to the method, through fusion of improved SegFormer dynamic geometric semantic modeling, geometric entropy driving topology correction and a space-time coupling tolerance judgment mechanism, high-precision three-dimensional point cloud reconstruction and intelligent geometric dimension detection of the complex surface of the aerated building block are realized.

The utility model discloses a polyurethane mixing head mixing chamber structure which comprises a mixing cavity, the mixing cavity is a hexahedron, two opposite faces of the mixing cavity are respectively provided with a channel opening, a channel A and a channel B which are symmetrical are respectively arranged in the two channel openings, the end of the channel A and the end of the channel B are communicated with a mixing pipeline, and the mixing pipeline is communicated with the mixing cavity. The horizontal included angle of the two channels is 15 degrees, the relative included angle of the two channels is 120 degrees, a feeding port A and a feeding port B are formed in openings of the two channels respectively and communicated with the channel A and the channel B through hole flow channels respectively, and a discharging port communicated with the mixing pipeline is further formed in the mixing cavity. The two single-component raw materials are pumped into the two channels by a metering pump of the polyurethane foaming machine through the two feeding ports respectively, enter the mixing pipeline, are collided and mixed and then are discharged. According to the utility model, two components are fed in a space angle layout, collision mixing is carried out, a high-speed turbulent flow state is formed, the mixing effect is good, and the density and hardness of a finally foamed product are uniform.

The invention provides a soft tissue cutting simulation method based on self-adaptive hexahedral mesh subdivision, which comprises the following steps of: S1, constructing a soft tissue model and a surgical instrument model by using three-dimensional modeling software; s2, performing collision detection on the soft tissue model and the surgical instrument model; s3, marking the initial collision position of the surgical instrument and the cutting model, and determining a cutting surface; s4, copying all hexahedrons and grid units intersected with the cutting surface, and redefining the connection relationship between the hexahedrons and the curved surface grids; according to the method, details of a complex cutting path can be caught more finely through self-adaptive hexahedron mesh subdivision, the sense of reality of cutting simulation is improved, in the cutting process, by copying or segmenting hexahedron units and updating quality and stiffness matrixes, it is ensured that the physical performance of the model is kept unchanged, unnecessary calculation overhead is reduced, and the method is suitable for large-scale popularization and application. And the simulation authenticity is improved.

The invention discloses a three-dimensional anisotropic grid generation method based on a streamline tracking topological structure, and relates to the field of numerical simulation of fluid mechanics, and the method comprises the steps: S1, carrying out the tetrahedral subdivision processing of a computational domain of an aircraft through employing a triangulation algorithm Delaunay, and achieving the isotropic grid subdivision of the computational domain; s2, using isotropic grid point information generated in the isotropic topological structure to construct a corresponding sign distance SDF resolving model so as to obtain a scalar field satisfying a Laplace equation; s3, calculating the gradient of the scalar field by adopting an SDF gradient solving method based on local least square fitting to obtain a corresponding gradient field; s4, performing streamline tracking in the gradient field to obtain a corresponding grid topological structure; and S5, constructing a structured hexahedral mesh covering the whole computational domain according to the mesh topological structure and the corresponding surface mesh. According to the method, theoretical unification and engineering feasibility of two-dimensional to three-dimensional grid structure mapping are realized.

This invention discloses a finite element design and analysis method for a novel structural piezoelectric composite material. The method includes the following steps: extracting the zero level set surface based on the spatial structural equation to create the geometric shapes of a 3D TPMS shell structure, including Schwarz P, Gyroid, Neovius, and Diamond structures; using Matlab to define the frame volume fraction of the geometric shapes and control the unit node information in the 3D TPMS shell structure model; generating the 3D TPMS shell structure model as an inp file, importing the inp file into Abaqus to generate hexahedral elements; using Rhino to smooth the surface of the hexahedral elements, exporting the STL file, and performing remeshing in Hypermesh to convert the hexahedral elements into tetrahedral elements; adding periodic boundary conditions to the tetrahedral element mesh and performing numerical simulation to obtain the TPMS shell structure composite material model. The novel TPMS shell structure piezoelectric composite material designed by this method significantly improves piezoelectric performance compared to existing piezoelectric composite materials.