36 results about "Hybrid mesh" patented technology

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 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 invention provides a grid generation method and device for a nuclear power fuel assembly and a computer readable medium, and the method comprises the steps: receiving a geometric file of the nuclear power fuel assembly, and generating a hybrid grid of the nuclear power fuel assembly according to a grid generation strategy and the geometric file, the grid generation strategy comprises the steps that a structured grid is used in a boundary layer of the nuclear power fuel assembly, and an unstructured grid is used in an area outside the boundary layer; the generated hybrid grid is subjected to self-adaptive refinement processing, the self-adaptive refinement processing comprises the steps of recognizing a high-gradient area and increasing the grid density in the high-gradient area, and the high-gradient area refers to the area where the change rate of fluid parameters in space is larger than a preset threshold value when fluid flows along the wall face of the nuclear power fuel assembly. According to the method, the grid density is only increased in a high-gradient region, and relatively thick grids are kept in other regions, so that the resolution of a key region is ensured, and the waste of computing resources is effectively reduced.

The invention discloses an external mixing type air nozzle atomization process simulation method, which comprises a multi-scale atomization mathematical model and numerical simulation based on the multi-scale atomization mathematical model, the multi-scale atomization mathematical model divides a flow field component into a continuous phase and a dispersed phase based on an Euler-Lagrange coupling method, the Lagrange method is used for describing the movement of small-scale coating particles, and the numerical simulation is carried out based on the continuous phase and the dispersed phase. Establishing a big and small droplet identification conversion mechanism, and selecting Reynolds average simulation to establish a turbulence model; based on numerical simulation of a model, a geometric model is firstly constructed to generate a computational domain, a coordinate system is established, then a key region is divided and encrypted by using a hybrid grid, and simulation is performed by controlling the number of grids in combination with a dynamic adaptive technology. Direct and indirect verification experiments prove that the model is correct; the problems that an existing model is incomplete in description, poor in fidelity and low in calculation efficiency are solved, the time cost is saved, the simulation result is closer to reality, accurate data can be provided for analysis of the atomization phenomenon, and the spraying quality and the production efficiency are improved.

The invention relates to the technical field of high-performance computing, in particular to an unstructured hybrid grid gradient reconstruction method based on GPU acceleration, and solves the problems that a gradient reconstruction method in the prior art is large in calculation amount and high in calculation cost due to the fact that the gradient reconstruction method needs to be executed for multiple times in the iteration process. The method comprises the following steps: carrying out gradient reconstruction by using a least square method, and introducing a JAX architecture in a gradient reconstruction stage to realize parallel computing of a GPU (Graphics Processing Unit); according to the method, non-structured grid gradient reconstruction based on a JAX framework is realized; and the JAX pre-compiles the calculation graph into a highly optimized GPU instruction through an XLA compiler, so that the calculation efficiency is effectively improved. The gradient reconstruction algorithm based on the JAX framework shows excellent operation stability in a stable calculation stage.

The invention discloses a well periphery flow capacity calculation method based on a hybrid grid. The well periphery flow capacity calculation method comprises the following steps that S1, the hybrid grid is established according to well periphery heterogeneous characteristics; s2, at the beginning of the time step, preliminarily determining fluid pressure in a shaft, and for a large-scale grid, calculating fluid pressure distribution in a matrix rock mass by adopting a seepage numerical model; s3, preliminarily determining the concentration of acid liquor in a shaft, adopting the pressure and the concentration in the shaft as inlet boundary conditions, adopting the recorded large-scale grid boundary fluid pressure as outlet boundary conditions, calculating the growth process of acid etching wormholes in the small-scale grid system by utilizing a wormhole model, and obtaining the change of a porosity field in the small-scale grid system; s4, calculating physical property parameters of the large-scale grid after earthworm hole growth in a single time step; and S5, repeating the steps S2-S4, and carrying out next time step calculation until analog calculation of the whole injection process is completed. According to the invention, the optimal balance between the calculation efficiency and the simulation precision is realized.

The invention discloses a ship fluid computational domain full-automatic non-structural hybrid grid generation method, which comprises the following steps: acquiring a ship geometric model, adding a computational domain bounding box, and generating an initial discrete geometric model consisting of triangular surface grids; acquiring user input control parameters, and generating a size field in combination with the initial discrete geometric model; embedding a symmetric plane and a horizontal plane according to the initial discrete geometric model, generating an initial triangular surface grid with consistent boundaries, and performing re-gridding under the control of a size field to generate a model boundary surface grid; according to a horizontal plane, dividing the boundary surface grid into an upper surface grid and a lower surface grid, and respectively generating an upper boundary layer grid and a lower boundary layer grid which are composed of anisotropic triangular prism units and pyramid units; on this basis, surface grids of the boundary of the computational domain are regenerated at the boundary of the bounding box, tetrahedral grid units are generated under the control of the size field, and therefore the ship fluid computational domain full-automatic non-structural hybrid grid is formed through merging.

This invention relates to the field of submersible electric pump (FET) fault diagnosis technology, and particularly to a method and system for FET fault diagnosis based on CFD and deep learning. The method includes constructing a full-channel 3D model, simulating FET faults by modifying key geometric feature parameters, and using a hybrid mesh strategy to divide the mesh; extracting time-domain and frequency-domain features from the simulation data, forming feature vectors from these features, and constructing multi-dimensional labeled simulation data using these feature vectors and multi-dimensional label vectors; constructing a multi-channel deep neural network, training the multi-channel deep neural network using the multi-dimensional labeled simulation data; and deploying the trained multi-channel deep neural network to a well site edge computing gateway to diagnose FET sensor data. This invention utilizes CFD to generate high-quality data to drive deep learning model training, achieving rapid and accurate collaborative diagnosis of multiple faults in FETs.

This invention provides a multi-grid fusion method for numerical simulation of wind turbine wakes in complex terrain. It fuses Cartesian grids of complex terrain, structured or unstructured hybrid grids of the wind turbine region, and anisotropic O-type structured grids of the wake region. By fusing multiple grid types with different topologies and using overlapping grid technology for assembly and interpolation calculations, this method significantly improves wake vortex analysis efficiency and controls computational costs while ensuring the accuracy of wind turbine aerodynamic loads and automated terrain geometry modeling. This enhances the accuracy and efficiency of numerical simulation of wind field wakes.

The invention discloses an immersive image transmission method and system for an AR cinema, and relates to the technical field of AR image transmission, and the method comprises the steps: optimizing a stereo unit set and a NeRF radiation field unit set through a variable weight joint optimization method, predicting the fusion probability of a stereo unit and a NeRF radiation field unit through a space-time Transform fusion method, carrying out the unit fusion according to the fusion probability, and carrying out the unit fusion. And mapping the fused and non-fused units to a three-dimensional grid structure to generate a stereoscopic NeRF hybrid grid. A variable weight joint optimization method is adopted, weights are dynamically calculated and optimized, priority optimization of a high-interaction area, resource allocation efficiency improvement and special effect area detail expression precision improvement are achieved, a space-time Transform fusion method is introduced, the fusion probability is predicted by utilizing a learnable weight matrix, semantic association of a stereoscopic unit and a NeRF unit is enhanced through space-time feature modeling, and the fusion efficiency of the stereoscopic unit and the NeRF unit is improved. Light field breakage and geometric distortion are eliminated, and the rendering quality of the AR cinema scene in the dynamic special effect area is remarkably improved.

The invention discloses a high-energy beam welding stress deformation simulation optimization method based on a pinhole effect, and aims to solve the problems of low simulation precision, poor calculation efficiency, difficulty in process optimization and the like in the prior art. Accurate simulation and efficient optimization are realized through three core modules: a dynamic molten pool behavior modeling module is coupled with energy interaction and dynamic evolution of metal steam in a small hole and a high-energy beam, and a dynamic heat source model is constructed; the stress simulation module is combined with a grain orientation model and a Newton-Raphson iterative algorithm, so that the stress calculation precision is improved; the welding structure rapid simulation module is based on a hybrid grid technology, and adopts an algebraic multi-grid algorithm to improve efficiency and balance precision and efficiency. According to the method, the welding stress deformation can be accurately predicted (the error is smaller than or equal to 10%), the simulation efficiency of a large structure is greatly improved (the simulation efficiency is improved by 1-2 orders of magnitude), the trial and error experiment cost is reduced by 30% or above, and the method is suitable for various high-energy beam welding processes and materials and can be widely applied to the high-end manufacturing fields of aerospace, weaponry and the like.

The invention discloses a hot hybrid simulation method for a T-shaped pipe of a pressurized water reactor core safety injection system, and the method comprises the steps: building a simplified three-dimensional geometric model comprising a safety injection T-shaped pipe through CFD software, dividing grids through a hybrid grid technology, carrying out the local encryption of a core region, and generating a boundary layer grid, the method comprises the following steps: selecting a VOF multiphase flow model, a k-epsilon turbulence model and a Lee phase change mass transfer model for coupling simulation, setting corresponding boundary conditions and initial parameters, and finally, completing solution method setting through a Coupled algorithm discrete format and an interpolation method, performing adaptive time step strategy solution, accurately capturing key thermal hydraulic parameters such as a temperature field, a velocity field, flow pattern evolution and the like, and obtaining the thermal hydraulic parameters. And a mixing condensation process of a safety injection coolant and a main loop high-temperature coolant or steam under an accident condition is simulated. The method not only reduces the time consumption and cost of traditional experiments, but also improves the prediction precision of key phenomena in reactor safety analysis, provides reliable technical support for emergency cooling strategy optimization of a pressurized water reactor nuclear power plant under a water loss accident or a steam pipeline fracture accident, and has important engineering application value.

The invention relates to a simple human chest impact response modeling method with efficient calculation, and mainly solves the problems of high calculation cost and low efficiency of a high-precision finite element model in the traditional explosive shock wave lung injury research. The method comprises the following steps: geometrically simplifying the chest of a human body, simplifying ribs into equal-height cylinders, and simplifying lungs into solid spheres; the method comprises the following steps of: performing hybrid grid division, performing adaptive grid (dynamic encryption based on a Zienkiewicz-Zhu error estimator and a Hessian matrix anisotropic size field) on muscular tissues, and performing hexahedral structured grid (generated through a parameterized mapping method to ensure unit quality) on bones and lungs; material setting: endowing muscles, bones and lungs with standardized linear elastic material parameters, and simulating the interaction between an explosion flow field and a human body through Euler-Lagrange coupling. The model only contains 2676 units, the calculation time is shortened to half an hour from several weeks, and the memory demand is reduced to 14 MB from 200 MB.

The invention provides a multi-grid fusion method for fan wake flow numerical simulation in complex terrains. A Cartesian grid of a complex terrain, a structural or non-structural hybrid grid of a fan area and an anisotropic O-shaped structural grid of a wake area are fused, multiple grid types of different topologies are fused, and assembly and interpolation calculation are realized based on an overlapping grid technology, so that the aerodynamic load precision of the fan and automatic modeling of terrain geometry are ensured, and the accuracy of the aerodynamic load of the fan is improved. The trailing vortex analysis efficiency is remarkably improved, the calculation cost is controlled, and the precision and efficiency of wind field wake flow numerical simulation are improved.

The application belongs to the field of aerospace and fluid mechanics, and discloses an aircraft internal and external flow field structure grid division method based on a non-matching interface, which comprises the following steps: decomposing the aircraft shape into two topological subdomains of an external flow field, an inlet duct and an internal flow field of a tail nozzle, and connecting each subdomain through a pair of completely coinciding interfaces; wherein the internal flow field of the inlet duct and the tail nozzle adopts an O-type topological structured grid, the external flow field adopts a C-type topological structured grid, and the nodes of the O-type topological structured grid and the C-type topological structured grid can slide on the interface. The problems that the adaptability of the non-structured grid is poor in the near-wall boundary layer region, the calculation amount is large, and the mixed grid is difficult to maintain the overall field conservation and high precision in the current numerical simulation of the internal and external flow coupling of the complex aircraft shape are solved.

This invention discloses an immersive image transmission method and system for AR cinemas, relating to the field of AR image transmission technology. The method includes optimizing a stereoscopic unit set and a NeRF radiant field unit set using a variable-weight joint optimization method; predicting the fusion probability of stereoscopic units and NeRF radiant field units using a spatiotemporal Transformer fusion method; performing unit fusion based on the fusion probability; and mapping fused and unfused units onto a 3D mesh structure to generate a stereoscopic-NeRF hybrid mesh. The variable-weight joint optimization method dynamically calculates optimization weights, prioritizing optimization of high-interaction areas, improving resource allocation efficiency, and enhancing the detail expression accuracy of special effects areas. The spatiotemporal Transformer fusion method is introduced, utilizing a learnable weight matrix to predict the fusion probability. Spatiotemporal feature modeling enhances the semantic association between stereoscopic units and NeRF units, eliminating light field breaks and geometric distortions, and significantly improving the rendering quality of AR cinema scenes in dynamic special effects areas.

The invention provides a numerical simulation method for the leaching process of a nickel pressurized stirred tank reactor, which comprises the following steps: creating a geometric model of the nickel pressurized stirred tank reactor, adopting a structured-unstructured mixed grid division mode for the geometric model, and performing grid division on a computational domain of the geometric model to obtain a grid file; constructing a multiphase flow numerical model in the reaction kettle; setting process conditions corresponding to the nickel leaching process in the grid file, and coupling and solving the multiphase flow numerical model to obtain simulation data of flow field characteristic indexes in the reaction kettle in the nickel leaching process; constructing a solid model which is scaled down in equal proportion, and scaling the stirring speed and the gas flow based on a similarity criterion; carrying out a water simulation experiment, and measuring entity experiment data of flow field characteristic indexes; comparing the simulation data with the entity experiment data to correct parameters of the multiphase flow numerical model; different process conditions are set in batches, the corrected multiphase flow numerical model is solved in a coupling mode, and simulation data of the leaching process of the reaction kettle under the different process conditions are obtained. The simulation precision can be improved.

The application discloses a rotating machine inner flow non-structure mixed grid generation method with dynamic and static interference surfaces, and comprises the following steps: reading rotating machine geometric model data by using a geometric engine Open CASCADE, giving boundary attributes of the geometric model, dividing the geometric model into a main body and a secondary body, and giving boundary attributes of the main body and the secondary body; defining symmetric edges and surface edges according to the boundary attributes of the main body and the secondary body, and generating a triangular surface grid on the main body; generating an anisotropic triangular prism unit on the main body according to the triangular surface grid; regenerating a triangular surface grid and a quadrilateral surface grid on the main body according to the triangular prism unit; generating a quadrilateral surface grid on the secondary body according to the quadrilateral surface grid of the main body; generating a hexahedron unit and a pyramid unit on the secondary body according to the quadrilateral surface grid of the secondary body; and generating a tetrahedron unit on the main body according to the pyramid unit.

The application discloses a scene preprocessing method for fire simulation, and relates to the technical field of building fire simulation, comprising the following steps: calculating three-dimensional thermal power weight by using a fire spread dynamics model, and generating a thermal map of a fire danger area; extracting a main diffusion direction of the fire and each axial anisotropy parameter by using a tensor field generation algorithm, and generating fire grid parameters; constructing a hexahedral leading grid by using a hybrid grid generator, increasing the grid density of the fire danger area, and obtaining an optimized hybrid grid of the fire; and checking the Reynolds number and matching the boundary layer of the optimized hybrid grid of the fire by using a fire feature self-adaptive algorithm, and iteratively correcting to generate a fire simulation correction grid; by using the hybrid grid generator, the application realizes self-adaptive distribution and smooth connection of the grid density of the fire danger area, so that the grid distribution of the fire danger area is accurately matched with the fire spread characteristics.

This invention relates to the field of geophysical exploration technology and discloses a three-dimensional polarizability inversion method based on cross-gradient constraints. The method includes the following steps: acquiring apparent resistivity observation data d_obsr and equivalent apparent resistivity observation data d_obsη; performing hybrid mesh partitioning on the computational domain to generate a hybrid mesh model containing triangular prism elements, tetrahedral elements, and pyramidal elements; and performing three-dimensional resistivity forward modeling based on the hybrid mesh model to obtain the total field potential. This three-dimensional polarizability inversion method based on cross-gradient constraints, by employing a hybrid mesh (combination of triangular prism, tetrahedral, and pyramidal elements) partitioning technique, can accurately fit undulating surfaces, fundamentally eliminating the terrain influence error caused by mesh simplification. Measured data show that the forward modeling response error at steep terrain measurement points can be reduced from 5.1% to 1.5% using traditional methods, effectively suppressing false anomalies and making the anomaly boundary more clearly delineated.

The invention relates to a simplified simulation method, system, equipment and medium for solid propellant combustion surface retrogression based on isothermal surface equivalence, and the method comprises the steps: processing a propellant model, and generating a reference model; hybrid grid division and local gradient encryption are carried out on the reference model, and a simulation model is obtained through grid distortion constraint; after the simulation model is imported into a heat transfer simulation system, the thermal diffusion coefficient of the propellant is adjusted based on the burning rate, the isothermal surface migration rate of the propellant is made to be synchronous with the burning rate, constant value temperature excitation and adiabatic constraint are applied, and a collaborative configuration model is formed; and based on the collaborative configuration model, adaptively selecting an implicit fully coupled or explicit separated solution architecture to execute transient heat conduction simulation, and when a preset convergence condition is met, outputting a morphological evolution result of the isothermal surface. Therefore, according to the method, the burning rate is mapped through the thermal diffusion coefficient, the burning surface is replaced by the isothermal surface, and the solid propellant burning surface regression simulation efficiency and the configuration adaptability are remarkably improved.

The invention belongs to the field of missile aerodynamics, and particularly relates to a zero-rudder-deflection-based hybrid grid automatic generation method for different rudder deflection combinations, which comprises the following steps of: firstly, sequentially generating geometric models under different rudder deflection combinations by adopting a traditional method on the basis of a simplified aerodynamic configuration of a certain missile; grid generation software is imported to generate hybrid grids under different rudder deflection combinations; then, on the basis of the zero-rudder-deflection hybrid grid, a self-compiled script program is adopted, automatic rotation of a rudder surface grid and automatic generation of a space hybrid grid are achieved, and then hybrid grids under different rudder deflection combinations are obtained; by comparing the time required by the two methods, it is proved that the automatic hybrid grid generation technology is simple in operation and shorter in consumed time, and an operation interface is written for the method so as to achieve full-process automatic generation of different rudder deflection combination script programs, hybrid grid generation, numerical calculation input files and the like. And a technology for automatically generating different rudder deflection combination hybrid grids based on zero rudder deflection is formed.

The present invention patent discloses a method for high-order finite element forward modeling of magnetotellurics based on hybrid grids, which specifically relates to the field of geophysical electromagnetic three-dimensional forward modeling. The Delaunay triangulation algorithm is used to divide the earth's surface into triangular grids, and triangular grids are extended on the triangular grids to form triangular prism units; the areas adjacent to the triangular prism units are discretized into tetrahedral units, and the underground electrical model is discretized using the constructed hybrid grid. Finite element unit analysis is performed through high-order shape functions to discretize the magnetotelluric wave equations and form a magnetotelluric high-order finite element system; the hybrid grid finite element system is solved to obtain the magnetotelluric response signal. The technical solution of the present invention solves the problem of increased computational cost caused by the use of traditional unstructured networks in MT forward modeling under high-frequency conditions. The hybrid grid can adapt to complex geoelectric models with strong terrain fluctuations, which requires less computational cost than the use of traditional unstructured units.

The invention provides a flow characteristic simulation analysis method and system for a ship feed pump, and the method comprises the steps: building a full-flow-channel parameterized three-dimensional model corresponding to a to-be-analyzed feed pump based on the target design parameters of the to-be-analyzed feed pump; based on a self-adaptive grid technology, corresponding grid division processing is executed on different types of computational domains in the full-flow-channel parameterized three-dimensional model, a mixed grid computational domain model is obtained, and the computational domains comprise a rotating domain and a static domain; based on the target physical model, a preset boundary condition, a preset interface processing mode and the hybrid grid computational domain model, executing unsteady transient calculation processing, and obtaining corresponding flow-induced characteristic simulation key data of the to-be-analyzed feed pump in the multi-working-condition coupling solving process; and according to the flow-induced characteristic simulation key data, performing multi-physics field coupling characteristic analysis on the to-be-analyzed feed pump to obtain a flow characteristic simulation analysis result. The accuracy of predicting the complex working condition of the ship feed pump is improved.

The invention provides a distributed precision extraction method based on weight, and belongs to the technical field of circuit parasitic parameter extraction. The extraction method comprises the steps of collecting multi-source circuit data based on circuit attributes and a process modeling library, and performing structured preprocessing to generate a structured feature database; constructing a weight calculation model, calculating weight values of grid sub-modules in the structured feature database, and dividing precision regions according to the weight values; allocating a corresponding extraction engine for the precision area to perform precision extraction, and performing task scheduling for the extraction engine by utilizing a task allocation engine; and a hybrid grid coupling algorithm is adopted to eliminate circuit parasitic parameter jump between precision regions so as to realize distributed precision extraction of circuit parasitic parameters and generate a circuit parasitic parameter netlist. According to the method, the hardware utilization rate is maximized, the overhead of global high-precision calculation is avoided, the efficiency of a non-critical region is improved, the extraction result error is quantized and compensated, the problem of parameter drift is solved, and parasitic parameter jump is eliminated.

The invention belongs to the field of aerospace and fluid mechanics, and discloses an aircraft internal and external flow field structure grid division method based on a non-matching interface, and the method comprises the steps: decomposing the shape of an aircraft into two topological subdomains, namely an external flow field, an air inlet channel and an exhaust nozzle internal flow field; the sub-domains are connected through a pair of completely overlapped interfaces; wherein an inner flow field of the air inlet channel and the exhaust nozzle adopts an O-shaped topological structured grid, an outer flow field of the air inlet channel and the exhaust nozzle adopts a C-shaped topological structured grid, and nodes of the O-shaped topological structured grid and nodes of the C-shaped topological structured grid can mutually slide on an interface. The problems that in current complex aircraft appearance internal and external flow coupling numerical simulation, an unstructured grid is poor in adaptability and large in calculation amount in a near wall surface boundary layer area, and a mixed grid is difficult to keep full-field conservation and high precision are solved.

The invention discloses a method for generating an internal flow non-structural hybrid grid of a rotating machine driving a static interference surface. The method comprises the following steps: reading data of a geometric model of the rotating machine by utilizing a geometric engine Open CASCADE, endowing the geometric model with boundary attributes, dividing the geometric model into a main body and an auxiliary body, and endowing the main body and the auxiliary body with boundary attributes; according to the boundary attributes of the main body and the auxiliary body, symmetric edges and object plane edges are defined, and a triangular plane grid is generated on the main body; according to the triangular surface grids, anisotropic triangular prism units are generated on the main body; according to the triangular prism units, regenerating triangular surface grids and quadrilateral surface grids on the main body; generating a quadrilateral surface grid on the auxiliary body according to the quadrilateral surface grid of the main body; according to the quadrilateral surface grid of the secondary body, generating hexahedron units and pyramid units on the secondary body; and generating tetrahedral units on the main body according to the pyramid units.

The invention belongs to the technical field of aerospace engineering, and particularly relates to a computational fluid mechanics-based aerodynamic thermal environment rapid prediction method, which comprises the following steps of: generating a surface grid according to an aerodynamic configuration; generating a pneumatic grid based on the surface grid, and then carrying out non-viscous flow field calculation based on a CFD method to obtain a flow field variable; searching all surface units according to the characteristic that the stationary point speed is 0, and determining the position of a stationary point; coordinates (x, y, z) are used as independent variables, and an epsilon-curve is obtained through calculation around stationary points; using coordinates (x, y, z) as independent variables, adopting a Gaussian kernel function to realize surface streamline tracking until the surface streamline is intersected with the epsilon-curve, and then calculating along the streamline to obtain a shape factor; and based on an axial symmetry comparison idea, predicting the aerodynamic thermal environment along the surface streamline by using an aerodynamic thermal environment calculation formula. In the method, due to the fact that the hybrid grid and the polyhedral grid are higher in calculation efficiency, the calculation cost can be remarkably reduced when aerodynamic thermal environment prediction is carried out based on the method.

A system for determining and displaying air temperature, pressure, or velocity in an information technology (IT) room including an IT equipment rack. The system comprises a processor configured to receive a model of a layout of equipment within an IT room, define a primary computational grid including base grid cells with dimensions having a first ratio, define a set of computational grid origin offsets for the model, determine a hybrid computational grid having base grid cells, an origin offset selected from among the set of computational grid origin offsets, and a variable grid for the model associated with the computational grid origin offset having a lowest penalty score, perform a computational fluid dynamics analysis of the model utilizing the hybrid computational grid, and provide a display in a graphical user interface illustrating one or more of air temperatures, air pressures, or airflow velocities within the IT room.

The invention discloses an anti-icing prediction method and system for a bionic super-hydrophobic structure, and the method comprises the steps: obtaining a to-be-simulated bionic super-hydrophobic structure, reproducing the bionic super-hydrophobic structure and a contrast plane through modeling, generating a hybrid grid through finite element processing, and importing the hybrid grid into Fluent; in Fluent, loading an explicit interface capture algorithm of a VOF frame, coupling a continuous surface stress CSS model, setting an axial symmetry computational domain, setting a pressure outlet, a non-slip wall surface and a symmetry axis boundary in the axial symmetry computational domain, and inhibiting fluid backflow; initializing the spherical liquid drop, and iteratively tracking a spreading-retracting-bouncing time sequence of the spherical liquid drop on the bionic super-hydrophobic structure on an explicit interface by adopting a non-iterative transient solver; a phase change solidification model and a Lee evaporation-condensation model are coupled in a VOF frame, the temperature is set to be lower than the icing temperature in Fluent, and the icing delay time of the spherical liquid drops on the surface of the bionic super-hydrophobic structure is predicted according to the spreading-retracting-bouncing time sequence.