42 results about "Phase model" patented technology

The invention provides a target third-order motion parameter estimation method and device based on high-order phase fusion, and the method comprises the steps: building a third-order polynomial phase model based on a radar echo signal, and carrying out the high-order phase fusion estimation, and obtaining an estimation value of a third-order motion parameter; performing third-order phase compensation based on the estimated value of the third-order motion parameter to obtain an estimated value of a second-order motion parameter; performing phase compensation on the slow time complex sequence based on the estimated value of the third-order motion parameter and the estimated value of the second-order motion parameter to obtain a compensation sequence; and converting the compensation sequence into a single-frequency slow-time complex sequence, and estimating motion parameters of the to-be-measured target based on the single-frequency slow-time complex sequence. Through step-by-step compensation of the third-order phase term and the second-order phase term, coherent focusing of target energy can be realized under the condition of not depending on dense grid search, so that the robustness and precision of maneuvering target detection are improved, and meanwhile, the requirements of a vehicle-mounted system on real-time performance and computing power cost are considered.

The invention discloses a centrifugal pump blade damage suppression design and optimization method based on multi-physics field coupling, which comprises the following steps: constructing a fluid grid model of a centrifugal pump and carrying out transient flow field numerical simulation comprising a cavitation model and a dispersed phase model to obtain transient flow field simulation results of a cavitation field and a dispersed phase motion field; according to the transient flow field simulation result of the cavitation field, cavitation collapse wall surface energy is calculated, and a first correlation model of the blade geometric parameters and cavitation collapse energy is established; according to a transient flow field simulation result of the dispersed phase motion field, calculating particle impact wall surface energy, and establishing a second correlation model of the geometric blade parameters and the particle impact wall surface energy; and according to the first correlation model and the second correlation model, the cavitation collapse energy and the particle impact energy are controlled to suppress damage generated by multiple physical fields coupled with cavitation and particle impact, and multi-objective optimization is carried out in a mode of minimizing the cavitation collapse energy and minimizing the particle impact energy, so that optimal blade parameters are determined.

The invention discloses a low-temperature liquid cavitation numerical prediction method considering different-scale heat effects, and belongs to the field of low-temperature liquid cavitation numerical prediction. The implementation method comprises the steps that a corresponding fluid domain geometric model is established, grids are divided, a computational fluid mechanics model is established under the macro-scale, a separation vortex DES turbulence model is adopted, a fluid volume VOF model is used for capturing a macro-scale cavity interface, and convective heat transfer correction under the macro-scale is conducted on a cavitation model; establishing a cavitation kinetic equation considering heat conduction correction under the mesoscale, solving resistance, volume force, additional mass force, pressure gradient force and lift force suffered by the mesoscale discrete cavitation by using a DBM discrete phase model, and obtaining a movement track of the discrete cavitation in a cavitation flow field; and calculating the unsteady cavitation flow by taking a steady result as an initial value to obtain a flow field characteristic under a macroscale and a discrete cavitation dynamic evolution process under a mesoscale, thereby realizing quantitative description and high-precision numerical prediction of the unsteady cavitation flow.

The invention relates to the technical field of power system simulation, in particular to a twelve-phase synchronous motor VBR modeling method, which comprises the steps of motor grouping modeling; integrating a magnetic saturation effect; and interphase coupling modeling. The method has the advantages that the VBR model is successfully expanded to a twelve-phase (four-group three-phase) synchronous motor, the limitation that a traditional three-phase model and a traditional six-phase model cannot be directly applied to a high-phase-number asymmetric motor is overcome, the coordinate transformation problem caused by a complex winding structure is effectively solved through the multi-stator modeling framework and the projection matrix technology, and the method is suitable for large-scale popularization and application. An effective modeling solution is provided for high-phase-number motor simulation; by introducing a differential inductance matrix and a magnetization coupling matrix into a dq0 coordinate system, the model can accurately describe electromagnetic characteristics of the motor in different saturation states; the model considers the mutual coupling effect among all three-phase units, solves the problem that a traditional model is difficult to accurately simulate complex magnetic saturation and interphase coupling of a twelve-phase motor, and remarkably improves the simulation precision.

The invention provides an InSAR orbit phase fine modeling method combining a frequency domain and a space domain, and the method comprises the steps: 1, obtaining a synthetic aperture radar image data set of a target region, carrying out the preprocessing, and carrying out the pairwise interference, and obtaining an initial interferogram; 2, a flat ground winding phase and a terrain winding phase in the interferogram are reserved, and an orbit phase influenced by a baseline is obtained; thirdly, the azimuth fringe frequency and the distance fringe frequency of the interferogram are obtained through Fourier transform and linear frequency modulation transform, and the azimuth phase gradient and the distance phase gradient are calculated; fourthly, an orbit fine phase model is established according to the phase gradient and the space polynomial model; according to the method, the track accurate phase model combining the frequency domain and the space domain is established, linear and non-linear track phases caused by inaccurate base lines are removed at the same time under the condition that InSAR interference diagram unwrapping is not needed, and the precision of track phase error removal is improved.

This invention provides a method and system for predicting the combined wear and fatigue failure of turbine runner blades, relating to the field of hydropower equipment operation and maintenance technology. The method includes: establishing a fluid computational domain model and mesh generation; constructing a flow field based on single-phase flow characteristics; constructing a two-phase flow system using a discrete phase model; constructing a material wear model based on the characteristics of suspended matter passing through the machine; obtaining a geometrically varying wear prediction model and calculating the model; calculating the fluid-structure interaction strength characteristics of the initial structural field, and based on the calculation results, calculating the fatigue characteristics of the initial structural field; reconstructing the flow channel geometrically varying model based on fatigue characteristic data, and calculating the flow and fatigue characteristics during the reconstruction process; and evaluating the fatigue failure prediction of the runner under the influence of wear. This invention utilizes dynamic mesh smoothing technology to achieve real-time reconstruction of the geometric model and iterative coupling of the flow field and structural field during the wear process, improving the accuracy and scientific rigor of failure prediction.

The invention discloses a small-scale deformation InSAR time sequence inversion method and system based on multiple stable points, and the method comprises the following steps: S1, carrying out the small baseline interference processing of multi-temporal synthetic aperture radar data, and screening high-coherence pixel points, S2, recognizing a stable point candidate set with dense spatial distribution; s3, constructing an initial atmospheric delay phase model covering a full interferogram range; s4, obtaining an interferometric phase after atmospheric correction; and S5, inverting the deformation rate and the deformation time sequence parameters of the InSAR again. According to the method, dense stable points are screened based on a deformation rate threshold value, and a space atmosphere model is constructed, so that the problem that atmosphere delay and nonlinear deformation are difficult to separate in InSAR time sequence analysis is effectively solved, and high-signal-to-noise-ratio and high-precision time sequence monitoring of small-scale weak deformation of the earth surface is realized.

The application provides a single-step absolute antenna phase center calibration method and system with PCV constraint, comprising the following steps: establishing an antenna phase center calibration field based on a mechanical arm, forming a short baseline by using the mechanical arm and a static observation base pier, and collecting calibration data outdoors; constructing three-difference observation values, determining an observation model and a random model, and calculating the attitude of the antenna through mechanical arm data; for the three-difference observation values, a PCO approximate value is given, the observation value residual is calculated, then a spherical harmonic function is used to model the PCV, and the PCV value on the grid point is solved and output; according to the coupling between the PCO and the PCV, the phase model is expressed as different combinations of the PCO and the PCV, the minimum PCV constraint is applied, and the final consistent phase model result is obtained, so that the antenna phase center calibration is realized. The application has the advantages that the two-step estimation is reduced to one step, the data processing flow is simplified, the convergence speed of the antenna phase solution is improved, and the consistency of the antenna phase model calibration result is enhanced.

The invention discloses a method for optimizing a lead-bismuth venturi flow meter with ferroferric oxide particle deposition intervened by a magnetic field. The method comprises the following optimization steps: constructing a parameterized three-dimensional geometric model of the venturi flow meter; performing grid division on the model in computational fluid dynamics (CFD) software, and setting a multiphase flow model and a discrete phase model; compiling UDF for dynamically applying a virtual magnetic field in the flow field area of the tapered fillet section in the CFD solving process; the UDF is loaded, the virtual magnetic field serves as a source item to be coupled to a control equation of the fluid and the particle phase, and the influence of the virtual magnetic field on the particle motion trail is simulated; obtaining and analyzing the motion trail of the particles and the particle deposition amount of the fillet transition structure; based on an analysis result, adjusting the next one or more optimization variables and iteratively executing the steps until the particle deposition amount meets a preset requirement; according to the method, a virtual magnetic field which can be flexibly regulated and controlled is introduced by embedding a user-defined function, and an efficient simulation tool and a theoretical basis are provided for collaborative optimization of a flowmeter structure and a deposition suppression strategy.

The invention discloses a dynamic anti-corrosion production control method and system for a fan blade, and relates to the technical field of fan blade anti-corrosion, and the method comprises the following steps: integrating a three-dimensional geometric model of a target fan, a coating material electrical parameter database, environment dust data and operation condition parameters; a multi-physical field coupling simulation model integrating computational fluid dynamics (CFD), a discrete phase model (DPM) and electrostatic finite element analysis (FEA) is constructed, the flow field characteristics of air around a fan are simulated through the CFD, and the motion trail and impact characteristics of particulate matter in the flow field are simulated through the DPM; by constructing the multi-physics field coupling simulation and electrostatic adsorption risk digital twinborn model, electrostatic distribution and particulate matter adsorption conditions of the fan blade under different operation working conditions and environmental conditions can be accurately simulated, an electrostatic adsorption risk thermodynamic diagram is generated, the electrostatic adsorption risk is accurately predicted, and the evaluation accuracy is improved. And an accurate basis is provided for subsequent gradient coating reverse design.

The application relates to a UAV array dynamic angle of arrival estimation method and system, which comprises the following steps: S1, acquiring array snapshot data after reference channel auxiliary synchronization and waveform compensation; S2, establishing a parameterized space-time coupling phase model in a short coherence processing interval; S3, based on the array snapshot data, obtaining a single-channel input sequence through beam forming, and estimating a radial parameter pair by using time domain atom matching filtering; S4, based on the radial parameter pair, performing common time phase compensation on the array snapshot data to obtain a compensated snapshot matrix; S5, performing two-dimensional correlation calculation by using a space-time steering atom to estimate an angle parameter pair; S6, constructing a complete space-time dictionary atom, and estimating a complex amplitude by using a least square criterion; and S7, performing successive interference cancellation to update a residual error. Compared with the prior art, the application has the advantages of keeping low signal-to-noise ratio coherence gain and significantly reducing calculation complexity.

The application discloses a kind of coupling molecular dynamics first principle's gas cooled reactor cladding surface particle adsorption calculation method, steps are as follows: (1) based on computational fluid dynamics and particle discrete phase model establishes numerical simulation framework, including cladding, break, flow channel modeling, grid drawing, boundary condition setting;(2) according to the first principle of molecular dynamics, the binding surface energy of fission product molecules released into the gas gap and the cladding material molecular base is calculated;(3) establish the particle deposition model including particle's own attribute, effective modulus, relaxation time and surface energy;(4) the binding surface energy is implanted into the particle deposition model, and the particle deposition model is used as the wall boundary, and the gas-solid two-way coupling calculation of particle deposition is carried out.The method solves the problem that traditional macroscopic model depends on empirical parameters, realizes high-precision simulation based on physical mechanism, reveals the mechanism of micro-interface properties on macroscopic deposition behavior, and predicts complex deposition morphology.

The invention belongs to the technical field of bistatic synthetic aperture radars, and particularly relates to a time-coherence-based PS deformation estimation method of a navigation satellite bistatic I nSAR, and the method comprises the specific steps: carrying out the PS point interferometric phase modeling based on the deformation phase, the atmospheric phase, the DEM error phase, the space baseline phase and the noise phase of a PS point, and carrying out the matrix processing of an interferometric phase model; the method comprises the following steps: aiming at a navigation satellite double-foundation InSAR image, combining an optical image, selecting a plurality of PS points which are relatively large in amplitude and have the number exceeding a set number of days according to an amplitude deviation method, and performing synchronous difference on phases of the plurality of PS points to obtain an interference phase; setting a speed, an acceleration and a DEM as cyclic variables, and setting a termination condition for terminating cyclic iteration; and when the termination condition is not met, compensating the interferometric phase by using the currently obtained cyclic variable, estimating and compensating the atmospheric phase and the constant phase by using the interferometric phase, and estimating the deformation speed, the acceleration and the DEM error of each PS point by using the compensated phase.

The invention provides a geological reservoir fracture modeling grid cell determination method based on oscillator dynamic energy optimization and high-order interaction, and relates to the field of geology. According to the method, a dynamic energy optimization framework of an Ising machine is introduced into geomechanical modeling through fusion of amplitude dynamics and a high-order interaction model, the defects that in a traditional method, the physical significance of an energy function is fuzzy, and grid size effect correction is insufficient are overcome, and based on the real-value energy function of a complex oscillator variable and gradient descent, the dynamic energy optimization framework of the Ising machine is introduced into geomechanical modeling. Global convergence of mechanical parameters of the fracture network is realized, and the problem of local extremum of a traditional phase model is avoided; the fracture rigidity parameter is converted into a third-order polynomial energy item, and nonlinear characteristics of normal / shear deformation of the fracture surface are accurately described; a three-cycle method and a dynamic energy threshold value are combined, the grid size is synchronously optimized in the position-scale-azimuth dimension, the characterization error of fracture surface density and mechanical parameter anisotropy is reduced, and a standard grid format compatible with commercial software can be directly output.

The application relates to the technical field of clean room air conditioner air outlet design, in particular to a clean room air conditioner air outlet optimization design method based on fluid dynamics; through construction of a multi-physical field coupling simulation model based on a fluid dynamics model, accurate prediction of a temperature field, a flow velocity field and a pollutant concentration field in the clean room is realized; the method takes Reynolds average NS equations and a discrete phase model as cores, combines a Standard k-epsilon turbulent flow model and a wall surface function method, effectively captures complex air flow organization and particle diffusion behavior in the clean room, provides a high-precision data basis for subsequent multi-target optimization, minimizes energy consumption under the premise of guaranteeing air quality, and has important engineering application value; and the technical problem that existing clean room air conditioner air outlet design methods mainly depend on experience and industry standards or focus on optimization of a single parameter and fail to fully consider the action of multiple factors is solved.

This invention relates to the field of engineering thermophysical testing technology and discloses a method for measuring thermophysical parameters in the construction of a multi-phase model for the thawing of frozen coal in trains. The method first obtains the convective heat transfer coefficient of the train body surface as a function of the convective heat transfer coefficient and temperature through wind tunnel experiments and inversion using Newton's law of cooling. Second, it prepares standard frozen coal samples maintaining a multi-phase structure of ice, coal, and air using vacuum freezing sample preparation technology, and then uses a combination of laser flash calorimetry and differential scanning calorimetry to accurately measure the equivalent thermal conductivity, equivalent specific heat capacity, and latent heat of phase change of the frozen coal at low temperatures. Finally, it outputs a complete package of thermophysical parameters. This invention solves the problem of inaccurate thermophysical property measurements caused by the multi-phase characteristics of frozen coal, providing an accurate and reliable data foundation for constructing a high-fidelity thawing simulation model, and significantly improving the accuracy and reliability of simulation design.

The invention relates to the field of ocean engineering and hydrodynamics, and discloses a method and device for evaluating the impact load of a deep sea density flow on a structure, and the method comprises the steps: constructing a computational fluid dynamics two-phase flow model, simulating the transient impact of the deep sea density flow on the structure under the conditions of different initial impact heights, impact speeds and Reynolds numbers based on the two-phase model, and calculating the impact load of the deep sea density flow on the structure. Obtaining a resistance time travel curve of the structure; the peak resistance coefficient of the offshore structure is determined after the limit peak resistance and the maximum acting height of the density flow are extracted from the resistance time history curve; determining a load analysis model based on the peak resistance coefficient, the limit peak resistance, the maximum acting height of the density flow, the speed and the density; and determining an impact load result of the deep sea density flow on the offshore structure based on the load analysis model. According to the scheme, actual measurement does not need to be carried out every time in actual engineering application, the load result can be obtained based on impact load model analysis, and the evaluation efficiency of the impact effect of the deep sea landslide on the fan pile foundation is improved.

The invention discloses a real recycled aggregate accumulation simulation and concrete modeling method, and belongs to the field of building material digitization and computer simulation, and the method comprises the following steps: constructing a real recycled aggregate digitization model library with multiphase component labels; according to the target mix proportion, parameterizing and screening aggregate and carrying out grading scaling; establishing a father-child assembly relationship of the multiphase model; by setting an adjustable collision edge distance parameter in physical simulation, the aggregate spacing is controlled to digitally design the mix proportion; performing free falling simulation to generate a loose accumulation state, performing compaction simulation to realize compaction, and performing strike-off simulation to obtain a final flat surface in sequence; and extracting each final dense stacking static model, counting the volume, and quantitatively verifying the design target. The method solves the problem that the traditional method cannot truly reflect the form, multiphase composition and designable mix proportion of the recycled aggregate, and provides an efficient and accurate digital tool for material design and performance simulation of the recycled concrete.

This invention discloses a numerical simulation method for chloride ion diffusion in recycled aggregate concrete based on a five-phase random aggregate model, belonging to the field of numerical simulation technology for building material durability. This invention solves the problems of low modeling accuracy of the microstructure of recycled concrete, fragmented modeling and assignment processes, and the inability to dynamically optimize in existing technologies. The technical solution includes: parametrically defining a five-phase model consisting of a core-old ITZ-old mortar-new ITZ-new mortar; using a piecewise integration method to achieve precise control of aggregate gradation; automatically constructing multi-layered annular geometry through Boolean operations; synchronously generating explicit selection sets for each phase; performing transient simulation of chloride ion diffusion, identifying high-concentration gradient regions based on error analysis; automatically backtracking and dynamically adjusting the selection set partitioning, assigning diffusion coefficients based on local diffusion characteristics, and performing adaptive mesh refinement; and continuing subsequent solving. This invention achieves an intelligent closed loop of "modeling-solving-refinement-resolving," significantly improving simulation accuracy and efficiency, and providing an efficient and accurate numerical tool for the durability assessment of recycled concrete.

The invention discloses a rotary kiln temperature field real-time numerical simulation method based on deep learning, and the method comprises the following steps: S1), building a numerical simulation model of a rotary kiln based on an Euler-Lagrange discrete phase model, a coupled radiation model and a chemical reaction model through a computational fluid dynamics method; s2) determining boundary conditions and working condition parameters of the rotary kiln; s3) processing the temperature field sample data set obtained in the step 1) by using an intrinsic orthogonal decomposition method; s4) constructing a deep neural network of the gating circulation unit; s5) in a deployment application stage, obtaining a corresponding intrinsic orthogonal decomposition modal coefficient; s6, the internal temperature field of the rotary kiln is reconstructed, and real-time prediction.The prediction efficiency is greatly improved, computing resource consumption is remarkably reduced, the bottleneck of an existing numerical simulation technology in the aspect of real-time performance is broken through, and rapid and continuous thermal state evaluation and operation optimization decision support can be provided for an industrial site.

The invention relates to the technical field of sea ice simulation, relates to a water intake sea ice distribution simulation method, and solves the problem that the sea ice simulation requirement of the actual engineering of an open channel water intake cannot be met at present. The method comprises the steps that a three-dimensional geometric model of an anti-icing structure of the water intake is determined, a water tank model of the water intake is determined based on the three-dimensional geometric model, and the anti-icing structure comprises an ice breaking cone structure and an ice blocking net structure; determining a physical quantity model of the three-dimensional geometric model and parameters in the physical quantity model; determining a Lagrangian phase model, and determining a sea ice particulate matter model based on the Lagrangian phase model; and acquiring an initial sea ice distribution condition, and simulating sea ice distribution based on the initial sea ice distribution condition, the three-dimensional geometric model, the water tank model, the physical quantity model and the sea ice particle physical model to obtain a simulation result. By adopting the method, the simulation of the square randomly-distributed sea ice discrete elements similar to a natural sea area can be realized, and the stress condition after the floating ice collides with the structure can be better simulated.

The invention relates to an electric power system co-simulation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a simulation model of a power system is acquired, the simulation model comprises a positive sequence model constructed based on a positive sequence model area and a three-phase model constructed based on a three-phase model area, the positive sequence model area comprises a main network, and the three-phase model area comprises a power distribution network and a micro-grid; performing analogue simulation on the system state of the main network at the current time step through a positive sequence model to obtain current main network state data, and performing analogue simulation on the system states of the power distribution network and the micro-grid at the current time step through a three-phase model to obtain current power distribution network state data and current micro-grid state data; and when it is determined that the simulation model converges at the boundary between the main network and the power distribution network according to the current main network state data and the current power distribution network state data, proceeding to the next time step. By adopting the method, the reliability of simulation results can be improved.

The invention discloses an unsteady numerical method and system for simulating the hydrodynamic interaction of two ships in a wave environment, and the method comprises the steps: setting a computational domain and boundary conditions with the average value of the lengths of the two ships as the characteristic length through selecting the scale models of a pursued ship and a pursued ship; carrying out local encryption grid division on the curvature change area of the ship body by adopting an overlapping dynamic grid technology; a first-order VOF wave module is used for generating regular waves, and the water-gas two-phase volume fraction, pressure and speed initial conditions are configured through an Euler multiphase model; a translational motion is set for a chasing ship, an overlapped dynamic grid area is specified to follow up, six-degree-of-freedom body model parameters are configured for a chased ship, and an unsteady RANS equation and a turbulence model are solved by adopting an implicit unsteady solver. According to the invention, the transient change of the flow field can be captured in real time, the nonlinear characteristics of waves and the complex relative movement of two ships are accurately simulated, and a high-precision numerical analysis means is provided for ship navigation safety assessment and performance optimization.

The invention discloses a method for judging a failure form of a formed part caused by an additive manufacturing hole, which belongs to the field of material performance characterization and judgment and comprises the following steps of: determining a forming process and parameters of the formed part; establishing a finite element thermal molten pool model, and calculating the influence of laser energy input and thermal diffusion on the shape of a molten pool; obtaining geometric parameters of the finite element hot melting pool model, substituting the geometric parameters into the Navier-Stokes three-phase model, solving the Navier-Stokes three-phase model into which the geometric parameters are substituted by adopting an iteration method, and outputting a model result; quantifying the influence of fluid movement on the morphology and size of the hole in the molten pool remelting process according to the model result, and performing benchmarking verification with an experimental result to obtain the morphology and size of the hole; and judging the failure form of the formed part according to the morphology and the size of the hole. The problem that the failure form of the formed part cannot be accurately mastered before machining is effectively solved.

The invention discloses a full-graded concrete three-phase mesoscopic finite element uncertainty quantitative analysis method, and relates to the technical field of building engineering material computer simulation, and the method comprises the following steps: generating a reference finite element grid based on an obtained three-dimensional mesoscopic structure sample, carrying out three-phase material unit division by identifying aggregate area nodes, and carrying out three-phase material unit division; after corresponding material constitutive models are given to the divided three-phase units, a three-phase finite element model corresponding to the three-dimensional microstructure sample is formed, and mechanical property numerical simulation is executed; and macroscopic mechanical property indexes are extracted from the simulation result in batches, and uncertainty quantification and correlation analysis are carried out. According to the method, a complete and efficient solution from an aggregate structure to a three-phase model and then to uncertainty analysis is formed, and a technical support is provided for probability design and performance evaluation of the fully-graded concrete.

The invention belongs to the technical field of system simulation analysis, and discloses a thermal hydraulic program failure probability evaluation and self-adaptive variable order method, which comprises the following steps of: simulating N working conditions by using a split-phase model, reading a program output result, adding a state label for data after original simulation data is acquired, and calculating the failure probability of a thermal hydraulic program according to the state label; the method comprises the following steps: randomly disrupting each characteristic value, evaluating the performance reduction degree of a model, calculating importance, sorting and screening characteristic parameters as input parameters of the model, identifying minority class boundary samples, and interpolating between minority class neighbors to generate a synthetic sample to expand data; training a failure probability evaluation model by using a data set subjected to label addition and feature screening, outputting an abnormal probability, converting a format of the trained model, packaging and integrating, inputting parameters through an interface, obtaining a failure probability through model reasoning, and judging automatic switching of a high-order model and a low-order model according to continuous multi-step results. According to the method, the failure probability evaluation of each order model and the adaptive switching of the multi-order model can be realized.

The application discloses a kind of dynamic anticorrosion production control method and system of fan blade, it is related to fan blade anticorrosion technical field, including the following steps: integration target fan's three-dimensional geometric model, coating material electrical parameter database, environmental dust data and operating condition parameters, build a fusion computational fluid dynamics CFD, discrete phase model DPM and electrostatic finite element analysis FEA multi-physical field coupling simulation model, the flow field characteristics of air around fan is simulated by CFD, DPM simulates the motion trajectory and impact characteristics of particulate matter in flow field;The application can accurately simulate the electrostatic distribution and particulate matter adsorption under different operating conditions and environmental conditions of fan blade by constructing multi-physical field coupling simulation and electrostatic adsorption risk digital twin model, generates electrostatic adsorption risk thermodynamic diagram, accurately predicts electrostatic adsorption risk, and provides accurate basis for subsequent gradient coating reverse design.

The application provides a splash behavior simulation method and device of a laser selective melting process, and a medium, and belongs to the field of metal material additive technology. The method comprises the following steps: forming a simulation flow field by simulating the flow field in a forming cavity used in a fluid dynamics simulation experiment; determining particle parameters of an experimental splash according to a splash experiment image, and determining initial conditions of particle simulation spraying according to the particle parameters; setting a spraying area in the simulation flow field, and controlling a particle spraying simulation source to emit particles meeting the initial conditions; tracking each splash particle in the simulation flow field by using a discrete phase model, and obtaining a splash trajectory of the splash particle according to the initial conditions; setting a capture boundary condition, and determining a removal rate of the splash particle according to the splash trajectory and the capture boundary condition; setting a region of interest, and statistically analyzing a distribution trend of the splash particle in the region of interest according to the splash trajectory. The splash behavior in an LPBF processing process is simulated and analyzed, so that the influence of the splash on the quality of a formed part is reduced.

The invention provides a dominant reservoir cover layer identification method and device in carbon dioxide geological modeling, and relates to the technical field of carbon sequestration, and the method comprises the steps: collecting modeling related data of a target region, and sequentially carrying out the data cleaning, environment correction and standardization preprocessing, and obtaining processed data; based on the processed data, a deterministic modeling or random modeling method is adopted to establish a facies model reflecting reservoir lithology and sedimentary facies spatial distribution rules, and a candidate reservoir region and a candidate cover layer region are identified from the facies model; taking a phase model as a constraint framework, carrying out collaborative modeling on a spatial distribution rule of attribute parameters and distribution characteristics of phases through a geostatistical method in combination with the processed data, and finally forming an attribute model; defining a reservoir quantitative identification standard and a cover layer quantitative identification standard; and extracting attribute parameter values of each spatial position in the candidate reservoir / cover layer region based on an attribute model, and screening out a high-quality reservoir / cover layer region in combination with a reservoir / cover layer quantitative identification standard.

The application discloses a kind of based on BIM technology's operation and maintenance model establishment method, comprising: establishing construction phase model modeling standard, zoning table, construction phase sample file, operation and maintenance project list, construction phase BIM model is established, construction phase BIM model is refined, and operation and maintenance phase BIM model is obtained, operation and maintenance phase BIM model is lightweight processing, and lightweight operation and maintenance BIM model is obtained, lightweight operation and maintenance BIM model is imported into operation and maintenance platform, and data association is carried out with operation and maintenance management database.The application is established according to the demand of operation and maintenance partition when modeling in construction phase, and the model of partition is established into a whole according to boundary condition, and then refined and imported into operation and maintenance platform, and connected with information marker point.Thereby, effectively avoid construction, operation and maintenance preparation interval a large number of repetitive work or according to operation and maintenance demand resegmentation BIM model, provide display medium for operation and maintenance platform three-dimensional visualization.