15 results about "Grid file" patented technology

The application provides a kind of ultra-low orbit satellite whole process coupling thermal simulation method and system.The method comprises: constructing whole process coupling thermal simulation system;In control layer, the geometric grid file and orbit attitude parameter file of satellite are imported by input setting interface, and simulation time and task flow time sequence are set;The control layer passes the imported parameters to the calculation layer, and starts time iteration calculation;In the calculation layer, three calculation modules are coupled, and the calculation results are transmitted to the data layer for integration;The data layer transmits the integrated data file to the output display interface to show the simulation results in the form of numerical value, curve or cloud picture.The ultra-low orbit satellite whole process coupling thermal simulation method proposed by the application constructs an integrated thermal simulation system that integrates multiple core calculation modules, while supporting numerical, curve, cloud picture and other forms of visual output, which facilitates designers to intuitively and comprehensively evaluate the satellite thermal management effect.

The application discloses a kind of based on autonomous grid multi-solver automation simulation method, comprising: reading and analyzing simulation configuration file, obtains target solver type, physical model, working condition, boundary mapping rule and solving control parameter;Read the initial grid file generated autonomously, determine compatibility requirements according to target solver type, format adaptation or version conversion is carried out to initial grid file, and adapted grid file is generated;Based on target solver type, corresponding script template file is called, and parameterized filling is carried out in combination with the foregoing each parameter and grid information, to generate control script;Corresponding solver execution program is called, adapted grid file is loaded and control script is executed to start calculation, and result file containing convergence state information is obtained;Result file is analyzed and processed, key physical quantity data is extracted and engineering evaluation index is calculated, and structured simulation result data is output.

The application discloses a method for calculating volume integral of field quantity in OpenFOAM unsteady simulation result, which comprises the following steps: firstly, setting the current working root directory of OpenFOAM, reading the grid file discretely stored by OpenFOAM and creating the grid of the example; secondly, accessing the time control function and reading the time information; thirdly, creating the global blank file under the working root directory and storing the calculation result of the volume integral; fourthly, writing the time variable name and the variable name corresponding to the volume integral of the physical quantity to be calculated by the program in the first line of the global blank file; fifthly, reading the field quantity data required for calculating the volume integral of the physical quantity in sequence; sixthly, defining and calculating the physical quantity and the intermediate physical quantity concerned by using the regular expression; seventhly, defining the region concerned, calculating the product of the physical quantity concerned and the corresponding grid volume; and eighthly, writing the calculation result in the time sequence and completing the result output by traversing all the time points. The application can automatically process the multi-time point data in batches, greatly reduces the manual operation cost and realizes the efficient acquisition of the time evolution law of the volume integral of the field quantity.

The application relates to an electromagnetic simulation grid generation method and device and an electronic device, wherein the electromagnetic simulation grid generation method comprises the following steps: cutting a GDSII layout file according to a process technology file to generate a two-dimensional layout file; stretching the two-dimensional layout file according to the process technology file to generate a three-dimensional geometric model, and establishing a mapping relationship between a two-dimensional graph and a three-dimensional entity; wherein the two-dimensional graph contains a graphic label added for a target object; determining a target three-dimensional entity corresponding to the graphic label of the target object according to a netlist file in combination with the mapping relationship, and creating a port surface at an endpoint of the target three-dimensional entity; constructing an air box surrounding the three-dimensional geometric model; adding an electromagnetic grid to a region represented by each three-dimensional entity, the port surface and an air domain of the air box of the three-dimensional geometric model to generate an electromagnetic simulation grid file, so as to solve the problem of too much manual intervention in the conversion process from a GDSII layout to a simulation grid.

The application discloses a structured grid radiation simulation method based on optical path ordering, and belongs to the field of radiation transmission simulation. The method reads and analyzes a structured grid file, constructs a structured data set, discretizes a solid angle, calculates the projection value of the geometric center of all units on the unit vector of each discrete direction, sorts the units according to the projection value, and obtains the unit calculation sequence along the actual propagation path of the light. The radiation transfer equation in each unit is solved according to the sequence, the calculation result of the upstream unit is transmitted to the downstream unit through the connecting surface as the incident boundary condition, and the global input radiation is converged through iterative calculation. The application ensures that the calculation sequence is consistent with the real propagation path of the radiation energy by optical path physical ordering, eliminates the non-physical reverse radiation transmission, improves the calculation accuracy and convergence, and can directly process general engineering grid data, thereby being convenient for integrated application.

This invention discloses a simulation calculation method for the impact of river sand mining on navigation flow conditions, including: collecting and integrating basic geographic information and hydrological data of the sand mining area to construct a digital elevation model and hydrological database covering the entire area; based on the integrated data and Cartesian coordinate system, using an unstructured grid to partition the sand mining area to obtain a grid file of the sand mining area; given the initial conditions, boundary conditions, and dynamic boundary technology of the model, establishing a two-dimensional planar hydrodynamic model based on two-dimensional continuity equations and two-dimensional momentum equations through data collection and preprocessing; conducting model verification and calibration experiments based on existing historical measured data; and designing two sets of working conditions before and after sand mining according to the sand mining scheme and navigation engineering design scheme, obtaining prediction results based on the simulated values ​​of the hydrodynamic model.

This invention provides a method, apparatus, terminal, and storage medium for simulating incompressible thermal flow fields. The method includes: generating a mesh file; acquiring initial macroscopic quantity information and boundary condition information; generating ghost cells corresponding to mesh cells adjacent to the physical boundary in the corresponding flow field region based on the mesh file; initializing the distribution function of all mesh cells in the corresponding flow field region; setting the distribution function of the ghost cells according to the boundary condition information at each time step; iteratively calculating the distribution function and macroscopic quantity information of the mesh cells in the flow field region until the convergence condition is met; and outputting the flow field simulation results. This invention avoids the calculation of nonlinear convection terms in traditional methods by iteratively calculating the distribution function and macroscopic quantity information, thus effectively improving simulation efficiency.

Provided in the embodiments of the present application are a texture generation method and apparatus, and a computer device, a storage medium and a program product. The texture generation method comprises: acquiring guidance information of a geometric model and a mesh file of the geometric model, wherein the guidance information contains texture information, and the texture information is used for indicating a preset texture style; on the basis of the mesh file of the geometric model, using at least one depth rendering camera to perform depth rendering processing on the geometric model from at least one viewpoint, so as to obtain a depth map of the geometric model at each viewpoint; and on the basis of the texture information in the guidance information and the depth map of the geometric model at each viewpoint, performing texture rendering processing on the geometric model, so as to obtain a texture map of the geometric model, wherein the actual texture style of the texture map is consistent with the preset texture style indicated by means of the texture information. By means of the embodiments of the present application, the generation quality of a texture map can be improved.

The application discloses a kind of escape path planning methods based on flow field global modal characteristics, comprising: the establishment of computational model is carried out to leakage scene, grid division, boundary condition setting, calculation method is determined, non-constant value calculation.The eigenvalue orthogonal decomposition is carried out to the characteristic section of chlorine diffusion field, and the mode is sorted according to the energy proportion, and the first-order mode with the maximum energy proportion is determined as the dominant mode.The escape path node grid file is established, and the dominant mode amplitude is projected onto the grid node.According to the maximum value of mode amplitude and corresponding time coefficient, the risk coefficient partition is determined, and the equivalent path length is calculated using the risk coefficient.According to the equivalent path length, the escape path is planned based on Dijkstra algorithm.The escape path obtained by the application is more universal in the whole leakage process.

The application discloses a kind of dual-mode scramjet internal flow field automation CFD solving method, comprising: using Python script to build AnsysFluent automation solving environment, load the grid file of dual-mode scramjet model, using Python script to configure the physical model and boundary condition of dual-mode scramjet, using Python script to complete the setting of numerical discrete format, solving method and the flow field initial value construction of calculation domain;Flow field initial value is used as the starting point of iteration, using Python script to execute the dynamic climbing calculation under first-order accuracy, obtain stable initial flow field distribution;Stable initial flow field distribution is used as the initial value of calculation, using Python script to switch second-order high-precision calculation and carry out convergence determination.This method effectively solves the problems of artificial intervention tedious, shock capturing difficulty and convergence determination subject in high Mach number strong compressible flow calculation.

The method for extracting abnormal boundary in interpretation map based on geophysical exploration comprises the following steps: obtaining resistivity data of a survey area, inverting the resistivity data to obtain inverted resistivity data; obtaining a resistivity space grid file according to the inverted resistivity data; obtaining a median value of resistivity of any two adjacent grid nodes in the resistivity space grid file; obtaining a normalized derivative operator of resistivity of any two adjacent grid nodes in the resistivity space grid file; redefining the resistivity of each grid node in the resistivity space grid file according to the median value and the normalized derivative operator to obtain a normalized resistivity of each grid node; and drawing a normalized two-dimensional graph according to the spatial position relationship of the normalized resistivity, and obviously displaying the abnormal boundary through the normalized two-dimensional graph. The method can improve the ability of geological anomaly identification and provide a basis for boundary division.

Embodiments of the present disclosure provide a modeling method based on electron backscatter diffraction data and an electronic device, the modeling method comprising data preprocessing and coarsening, structure optimization and boundary definition, controlled generation of grain boundary layer, and mesh integration and output. A constrained morphological reconstruction algorithm is used to start from a seed unit, perform controllable inflation growth within the boundary constraint mask, and form an explicit grain boundary layer with a width that can be precisely defined by the user. Finally, based on the optimized coarsened grain map and the explicit grain boundary layer, a regularized mesh file that can be used for finite element analysis is generated. Through the strategy of "constraint first, reconstruction later", an explicit grain boundary model with a clear geometric width can be efficiently constructed, providing a high-quality mesh basis for studying the influence behavior of grain boundaries at the microscale.

Embodiments of the present application provide a texture generation method and device, computer equipment, a storage medium and a program product. The texture generation method comprises: obtaining guide information of a geometric model and a mesh file of the geometric model, the guide information containing texture information, the texture information being used to indicate a preset texture pattern generated for the geometric model; performing depth rendering processing on the geometric model from at least one view angle by using at least one depth rendering camera according to the mesh file of the geometric model, to obtain a depth map of the geometric model under each view angle; performing texture rendering processing on the geometric model based on the texture information in the guide information and the depth map of the geometric model under each view angle, to obtain a texture map of the geometric model; and the actual texture pattern of the texture map is consistent with the preset texture pattern indicated by the texture information. By using the embodiments of the present application, the generation quality of the texture map can be improved.

This disclosure relates to an intelligent first-arrival tomography static correction method, apparatus, device, storage medium, and computer program. The method includes: acquiring first-arrival data, observation system files, and grid files; setting network training parameters, sampling interval, and maximum depth; performing intelligent inversion based on the first-arrival data, network training parameters, sampling interval, and maximum depth to obtain a near-surface velocity model; using the near-surface velocity model to pick a low-velocity zone bottom interface according to a preset stripping layer velocity; smoothing the low-velocity zone bottom interface according to preset smoothing parameters to obtain a smoothed low-velocity zone bottom interface; calculating a static correction amount based on the smoothed low-velocity zone bottom interface and the near-surface velocity; and using the static correction amount to perform time difference correction on the seismic data to be processed to obtain corrected data.