257 results about "Fluid modeling" patented technology

The invention relates to a wellbore multiphase flow model numerical solution and gas-liquid distribution state inversion method and system, and belongs to the technical field of petroleum engineering, and the method comprises the steps: 1, constructing and training a physical information neural network for drilling wellbore multiphase flow dynamic simulation and overflow gas distribution state inversion; determining input and output of the physical information neural network; determining a loss function of the physical information neural network; training a physical information neural network; 2, designing an adaptive optimization algorithm, optimizing the final solution precision and convergence speed of the physical information neural network, and obtaining an adaptive physical information neural network; designing an adaptive activation function; designing a self-adaptive sampling mechanism based on residual errors; 3, based on the self-adaptive physical information neural network, numerical solution and gas-liquid distribution state inversion of the shaft multiphase flow model are achieved. According to the method, the problem that a traditional numerical method usually needs high-precision grid division and a large number of computing resources is effectively solved.

The invention discloses a source network, plant, river and lake integrated model simulation method and device, a medium and equipment in the technical field of regional water environment pollution treatment. The method comprises the following steps: inputting a boundary condition and an initial condition of a first model into a pre-constructed surface runoff production and convergence model of a target area, and outputting a flow rate of surface runoff and a water quality index time sequence; inputting the boundary condition and the initial condition of the second model into a pre-constructed pipe network model of a target area, and outputting a flow and water quality index time sequence of key nodes in a pipe network system; and inputting the boundary condition and the initial condition of the third model into a pre-constructed riverway and lake grid model of a target area, and simulating the river and lake hydrodynamics and water quality change process of the target area. According to the invention, coupling simulation of surface runoff, pipe networks, rivers and lakes is realized, and a propagation path and an influence mechanism of pollutants are comprehensively reflected; and high precision and reliability of the model are ensured through parameter calibration.

The invention relates to a thermal simulation numerical simulation method of a multi-physics field architecture with CFD as a core, and belongs to the technical field of cross of computational fluid mechanics and heat transfer science. The method comprises the following steps: constructing a geometry and a conformal / non-conformal grid, presetting a model library, establishing association between a region and a physical field through physical group division, confirming a boundary and initial parameters, and screening a core simulation model; dividing an independent control volume based on a core numerical model, converting an area component and a volume component through integral operation, discretizing a boundary flux to construct a parameter matrix, then solving an equation set, and synchronously optimizing the grid quality; calculating a boundary flux and matching a discrete format, a turbulence model and a corresponding multi-physical field coupling model; original data are screened and processed, and cloud picture results such as temperature and flow field are generated through visualization. Accurate simulation of a multi-physics coupling scene is achieved, the precision and stability of thermal simulation under complex working conditions are improved, and efficient and reliable technical support is provided for engineering design optimization and performance evaluation.

The invention relates to the technical field of water resource management and forecasting, in particular to a deep learning model building and forecasting method based on hydrological mechanism fusion. The method specifically comprises the following steps: constructing a snow melting calculation module and a soil calculation module, splicing to form a runoff production model, constructing a confluence calculation module, executing confluence evolution simulation of a calculation result of the runoff production module by using the confluence calculation module, and constructing a confluence model. In confluence model simulation calculation, according to the number of calculation units, a broadcast calculation strategy and an array-based ordinary differential equation solving method are adopted, parallel calculation of the multiple calculation units is achieved, and runoff production calculation results of the multiple units are obtained; and integrating and calculating runoff production calculation results of each unit through a confluence model to obtain a runoff prediction result of the modeled drainage basin after confluence. The method provided by the invention solves the problems of low model construction efficiency and poor practical application effect faced by the application of the deep learning technology in the hydrological model at present.

The invention discloses a microchannel condenser flow distribution global simulation method and system, and relates to the field of microchannel condenser flow distribution calculation. The method comprises the following steps: firstly, constructing a heat transfer and resistance model and forming a single-channel model by combining the size and structure of a parallel channel of the condenser and working medium flow heat exchange characteristics, and constructing a shunting and converging numerical model according to an inlet and outlet area structure of the condenser; secondly, numerical simulation is conducted on the division and convergence numerical model, and stable initial field distribution is obtained; then, determining the mass flow rate of each channel based on the shunting initial field, calculating the back pressure of the channel by taking the mass flow rate as the inlet boundary condition of a confluence model, calculating the inlet pressure of the channel through a single-channel model, and updating the outlet boundary of the shunting model; and finally, iterating the process until the channel mass flow error is smaller than a limit value, obtaining the distribution of the sub-confluence three-dimensional physical field and the one-dimensional flow heat exchange parameters and the heat exchange amount of the parallel channels, and checking whether the heat exchange amount meets the design requirements or not. The method gives consideration to calculation efficiency and precision, can provide support for structure optimization of the micro-channel condenser, and is suitable for micro-channel condenser design in the fields of refrigeration equipment, air conditioning systems and the like.

The invention belongs to the technical field of ocean engineering, and particularly relates to a potential flow-viscous flow real-time coupling hydrodynamic analysis method and system for a floating body with a heaving plate. The method comprises the following steps of: 1, establishing a free surface potential flow model based on a three-dimensional potential flow theory, simulating wave-structure interaction, ignoring a viscous effect, converting a frequency domain result of a hydrodynamic load into a time domain load through a frequency-to-hour method, and taking the time domain load as an input for solving a motion state; 2, establishing an unbounded viscous flow CFD model, viscous force not covered by a potential flow model and an updated unbounded turbulent flow field around the heaving plate, and calculating the viscous force of the heaving plate; 3, establishing an unbounded potential flow model, and separating a force component repeated with the potential flow from a viscous flow result; 4, integrating the potential flow force and the viscous force to solve a floating body motion equation, iteratively updating the motion state and feeding back the motion state to the two solvers. The method is used for solving the problems that the efficiency is correspondingly reduced if the precision is improved and the precision cannot meet the requirement if the efficiency is improved in the prior art.

The invention discloses a wind field yaw wake flow hybrid modeling method and device fusing simulation and deep learning. The method comprises the following steps: firstly, introducing a yaw-corrected actuating disc model, constructing a volume force source item under the yaw action of each fan, performing steady-state computational fluid mechanics simulation on the yaw wake flow of the wind field by combining a Reynolds average Navier Stokes method and a k-epsilon turbulence model, and constructing a yaw wake flow database of the wind field; and then, training the yaw wake flow database by using a deep neural network, and learning a nonlinear mapping relationship between a wind field input wind speed and a multi-fan yaw angle combination and an incoming flow wind speed of each fan, so that a wind field yaw wake flow data driving model is established, and real-time prediction of wake flow characteristics under non-consistent yaw configuration is realized. Compared with an existing yaw wake flow model, the method has the advantages that the technical difficulty of wake flow modeling of multi-fan non-consistent yaw is effectively solved, the prediction speed is remarkably increased while the modeling precision is improved, and the method has high engineering application value.

The invention discloses a multi-energy coupling temperature field control method and system based on intelligent optimization, and relates to the technical field of intelligent control, and the method comprises the steps: extracting temperature field space-time features through an ST-CNN space-time convolution network in the aspect of energy efficiency optimization, solving a Pareto leading edge of a multi-objective optimization model in combination with an NSGA-III algorithm, and solving the Pareto leading edge of a multi-objective optimization model; the system achieves the optimal balance among the electro-thermal conversion efficiency, the refrigeration coefficient and the human body comfort level; secondly, in the aspect of control precision, a 3D convolution kernel and an LSTM module are adopted to cooperatively analyze the dynamic law of a temperature field, and in cooperation with CFD turbulence model simulation verification, the temperature control error can be reduced to a small range, and the space temperature uniformity is obviously improved; finally, in the aspect of system intellectualization, autonomous iterative optimization of control parameters is achieved through a near-end strategy optimization algorithm, a closed-loop control system of perception-decision-execution-feedback is formed, and the manual intervention requirement is reduced or eliminated.

The invention relates to a numerical simulation-based energy efficiency evaluation method and system for an energy-saving device in front of a ship propeller, and the method comprises the steps: respectively obtaining geometric models of a ship, a propeller, a rudder and the energy-saving device in front of the propeller, respectively building corresponding three-dimensional numerical models through CAD software, and then assembling the three-dimensional numerical models into a closed geometry; dividing the closed geometry into a plurality of computational domains, performing grid division and encryption of the same scale, and reserving the grids of which the grid number is within a preset number threshold range of each set of encrypted grids; then respectively constructing a light body ship CFD model and a ship CFD model additionally provided with an energy-saving device, and screening out an optimal turbulence model by using an RANS method; then, numerical simulation is conducted on self-propulsion tests of the light body ship CFD model and the energy-saving device added ship CFD model through the reserved grids and the optimal turbulence model, and an equal-vehicle-speed variable-rotation-speed strategy is adopted in the numerical simulation process; and finally, the energy-saving effect of the energy-saving device is calculated based on the propeller rotating speeds and torques of the two models.

The invention relates to the technical field of pumped storage, in particular to a CFD wear model correction method and system based on a high-speed rotating disc test. The method comprises the following steps: screening a plurality of groups of test particles with different hardness proportions to carry out a high-speed rotating disc wear test; measuring the test wear depth of the surface of a test piece; constructing a solid-liquid two-phase flow model of a high-speed rotating flow field based on CFD simulation; calculating the simulated wear depth by adopting a standard Oka model; and introducing the material yield strength, inversely coupling the material strength influence coefficient through test data to generate a yield strength correction factor, and integrating the particle hardness correction factor and the yield strength correction factor to reconstruct a standard Oka model. According to the method, the particle hardness and the material yield strength are considered at the same time to realize collaborative correction, so that the prediction deviation of different hardness particle working conditions is solved, and the accuracy of wear depth prediction is improved under the high-rotating-speed working condition.

The invention belongs to the technical field of oil and gas field development engineering and multiphase flow numerical simulation, and relates to a rapid prediction method for gas-liquid two-phase flow key flow parameters of a horizontal gas well. Constructing the mixed momentum equation, the mass conservation equation and the drift velocity constitutive relation into a partial differential equation residual group; secondly, constructing a physical information Fourier operator network architecture, and learning integral operator mapping from working condition parameters to flow field distribution in a frequency domain by using a lifting layer, a Fourier layer and a projection layer; and finally, calculating a partial derivative of an output variable relative to a space-time coordinate by utilizing an automatic differential technology, and constructing a loss function fusing a data error and a physical PDE residual error to carry out model training. According to the method, millisecond-level accurate prediction of the pressure, the liquid holdup and the flow velocity field of the whole wellbore is achieved, and the problems that traditional numerical simulation calculation is long in time consumption, the real-time monitoring requirement is difficult to meet, and a pure data driving model lacks physical consistency are solved.

The invention discloses a numerical simulation method for oil product evaporation and oil gas concentration distribution prediction in a confined space, and belongs to the technical field of oil product evaporation simulation in the confined space, and the method specifically comprises the following steps: constructing an oil product evaporation multiphase flow model of the confined space; the Lee phase change model is improved through a user-defined function UDF, and the difference value between the vapor partial pressure and the saturated vapor pressure is dynamically calculated to trigger the evaporation process; performing CFD simulation on an oil and gas distribution rule in the confined space; performing comparison verification on the CFD simulation result and experimental data; and predicting the time-varying concentration gradient distribution rule of oil and gas in the limited space based on the Lee phase change model. According to the numerical simulation method for oil product evaporation and oil gas concentration distribution prediction in the limited space, the concentration gradient distribution rule of oil gas in the limited space can be accurately predicted, an important reference basis is provided for an oil product leakage emergency disposal strategy, and the prevention and control capacity and the emergency disposal efficiency of oil product leakage accidents can be improved.

The invention discloses a multi-fidelity co-simulation management method and system for a pneumatic transportation pipe network system, and belongs to the technical field of computer simulation. The method comprises the steps of topology analysis and feature extraction, and analysis of a topology structure; simulation dynamic allocation: dynamically allocating a simulation model for each pipe section based on a preset strategy rule base; the simulation tasks are packaged and dispatched, and the continuous pipe sections distributed with the same simulation models are distributed; performing data coupling and consistency verification, and taking a calculation result of the upstream pipe section as an input boundary condition of calculation of the downstream pipe section; global results are synthesized, and results of all parallel computing tasks are automatically collected. According to the method, a one-dimensional theoretical model or a differentiated three-dimensional CFD model is accurately matched for different flow regime areas (a straight pipe flow field development area, a bent pipe separation area and the like) based on pipe section topological characteristics through dynamic model adaptation, the efficiency of a non-key section is guaranteed through the one-dimensional model, the flow regime of a key section is restored through a high-precision turbulence model, and cooperation of precision and efficiency is achieved.

The invention discloses an oil and gas shaft multiphase flow simulator MphaseSim modeling method and a PINN solving method, and relates to the technical field of oil and gas field exploitation, and the method comprises the following steps: pre-calibrating a modeling strategy, including calibrating gas-liquid two-phase flow, and calculating the average flow velocity according to the section occupied by the gas-liquid two-phase flow; mass transfer can occur between the calibrated gas and liquid phases, but the gas and liquid phases are always in a thermodynamic equilibrium state; in calibration steady-state analysis, the mass flow of any section of the shaft is equal, and the liquid holdup is calculated through a drift-assisted equation. According to the method, on the basis of a mass-momentum-energy coupling mathematical model, the SRK state equation and the drift flow model are combined, the phase change characteristics, momentum transfer and energy conversion rules of the gas phase and the liquid phase can be accurately represented, the model sealing performance is good, and the physical significance is clear; and the device can be stably applied to different types of oil and gas well scenes such as gas wells, deep oil wells and electric submersible pump wells, has no obvious numerical value divergence problem in long shaft flow simulation, and can effectively reflect the real production state of the shaft.

The invention discloses a method for optimizing key structure parameters of a deep well electric submersible pump based on performance simulation, and relates to the technical field of design optimization of electric submersible pumps, a three-dimensional geometric model of a deep well submersible centrifugal pump is built in advance, the three-dimensional geometric model comprises an impeller, a guide shell, a pump shaft, a pump shell, an upper connector, a lower connector and a full-flow-channel structure, and initial structure parameters are calibrated; and establishing a centrifugal pump simulation model based on a computational fluid dynamics technology, performing fluid domain extraction, grid division and grid independence verification on the three-dimensional geometric model, and setting fluid attributes, boundary conditions and a turbulence model. According to the method, a closed-loop iteration framework for simulation, optimization, evaluation and feedback is constructed by adopting a mode of coupling a computational fluid dynamics simulation technology and a genetic algorithm, the limitation of local parameter optimization in the prior art is broken through, systematic and collaborative optimization of key structure parameters of the submersible centrifugal pump is realized, and the method is suitable for large-scale popularization and application. And the efficiency of the optimization process and the final optimization effect are obviously improved.

The invention provides a runner blade optimization method of a mixed-flow water turbine and a runner. The method comprises the steps that a full-flow-channel three-dimensional model of a flow passage component of the mixed-flow water turbine in the water flow direction is established; a mixed turbulence model is selected, boundary conditions are set, simulation results of the runner under different design working conditions and critical working conditions are obtained, and a core loss area restricting maximum output is determined; setting meridian plane parameters, airfoil section parameters and space distortion parameters of the runner blade according to the position of the core loss area; based on the multiple sets of blade parameters, parameterized models of the runner blades are established respectively; comparing and analyzing simulation results of the plurality of parameterized models under the same working condition, and screening target blade parameters with high relevancy with the maximum output; and based on the target blade parameter, optimizing the runner blade so as to improve the maximum output of the mixed-flow water turbine. Through the optimization method provided by the invention, the problems of insufficient flow field coupling consideration, limited parametric modeling dimension, single optimization target and the like are solved.

The invention provides a business workflow dynamic arrangement and optimization method based on a large model agent, and the method comprises the steps: (1) analyzing the features and operation logic of a multi-element business workflow, and defining a business workflow description language; and (2) decomposing a complex business process construction process, and providing a layered process modeling system to guide a large model agent to construct a workflow model. And (3) constructing a task execution queue based on the task dependency relationship, and dynamically executing and monitoring the workflow. And (4) according to the execution log of the business workflow, discovering the bottleneck, redundancy and abnormity of the workflow model by adopting a process mining algorithm, and proposing a process improvement and optimization strategy. And (5) constructing a collaboration framework of a plurality of large model agents, and realizing dynamic arrangement, monitoring and optimization of the business workflow. According to the method, the defects that the current business workflow construction depends on experience of designers, and effectiveness and function requirements are difficult to guarantee are overcome; the defect that the business workflow is difficult to adapt to dynamic demand changes is overcome.

The invention discloses a coupled energy flow-flow-carbon flow integrated energy system collaborative optimization scheduling method, which comprises the following steps: S1, constructing an integrated energy system model which comprises a system energy flow model, a system flow model and a system carbon flow model, S2, inputting data output by load flow calculation in the step S1 into the system flow model, and outputting the data to the system carbon flow model, solving loss and efficiency in the integrated energy system; s3, inputting data output by load flow calculation in the step S1 into a system carbon flow model, and solving carbon emission of the integrated energy system; s4, integrating energy system cost including energy flow cost, flow cost and carbon flow cost, dynamically calculating weight coefficients of three economic costs including energy flow, carbon flow and flow through a weight adaptive mechanism, and synchronously solving the problems that a static carbon emission factor cannot respond to efficiency change and an equipment-level energy-carbon-correlation model is missing by establishing a three-flow dynamic coupling mechanism, so that the energy-carbon-energy-correlation model cannot respond to efficiency change; and the limitation of traditional single-dimensional or double-dimensional optimization is broken through.

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 discloses an intelligent tracer liquid production profile transient monitoring interpretation system and interpretation method, and relates to the technical field of oil and gas exploitation, the system comprises a tracer deployment module, a wellhead sampling module, a transient flow simulation module and an interpretation analysis module; according to the method, intelligent chemical tracer deployment and transient flow model analysis are combined, non-intervention type monitoring is achieved by pre-burying the oil-soluble / water-soluble inert tracer on the outer side of the horizontal well completion pipe string, and the limitation that traditional production logging needs downhole operation is broken through; a full-flow one-dimensional single-phase transient flow model covering a horizontal shaft, an inclined well section and a surface pipeline is established, pressure flow distribution is iteratively solved by adopting a discrete difference method, a tracer group flushing model and an arrival model are connected in parallel, and the liquid production speed and profile contribution of each production layer are accurately analyzed by inverting wellhead high-frequency sampling data. Real-time dynamic monitoring under complex well conditions can be achieved, production interference is avoided, and the inert tracer is resistant to high temperature and corrosion environments and wide in applicability.

This invention proposes a high-frequency component analysis method for vortex-induced vibration signals induced by multiphase fluids, comprising: S1, determining the physical model and assumptions; S2, modeling the interaction between gas and liquid two-phase flows; S3, introducing vortex and vortex dynamics; S4, selecting a numerical solution method to solve the equations formed in S1-S3; S5, multiphysics coupling and solving, including gas-liquid dynamic coupling, thermal-fluid coupling, and interface coupling; S6, solving for vortex behavior and vortex evolution; and S7, experimental verification and result analysis. The study of unsteady gas-liquid coupled vortex models within a finite physical space involves the interaction of gas-liquid two-phase fluids and the evolution of vortices. A gas-liquid coupled vortex model is established to simulate the characteristics of vortex-induced vibration under different flow conditions. Through numerical simulation and experimental comparison, the accuracy and effectiveness of the high-frequency component analysis method are verified, and the relationship between the high-frequency components of the vortex-induced vibration signal and the multiphase fluid is verified.

The invention discloses a turbulence model construction method for aerodynamic simulation of a hybrid three-compartment vehicle, and relates to the field of model simulation, and the method comprises the steps: S1, employing a flow field inversion method, and obtaining the dense space distribution of a turbulence model correction term; s2, screening local flow field characteristics related to the correction distribution characteristics; s3, training by adopting a symbol regression method to obtain an analytical expression of a turbulence model correction term; s4, through mathematical derivation, an analytical expression of a correction term is migrated into the standard model, so that the correction term is added in front of a damage term of a transport equation of the dissipation rate of the standard model; s5, selecting an initial value of a to-be-calibrated coefficient in the correction item according to the smoothness degree of the chassis of the hybrid three-compartment vehicle; and S6, calibrating the to-be-calibrated coefficient in the expression in the step S4 on the basis of real vehicle experimental data of the hybrid three-compartment vehicle to obtain the turbulence model for aerodynamic simulation of the hybrid three-compartment vehicle.

The aluminum alloy heat pipe bearing and heat conduction integrated simulation analysis method and system combined with a VOF gas-liquid two-phase flow model are provided, the VOF gas-liquid two-phase flow model suitable for the aluminum alloy heat pipe is constructed, a plurality of representative flow guide unit styles are selected, and geometrical characteristic parameters of the representative flow guide unit styles are extracted; the method comprises the following steps: simplifying a three-dimensional heat pipe into two-dimensional geometric models on the premise of ensuring accurate characterization of a heat conduction path, then respectively coupling a plurality of two-dimensional geometric models with a VOF gas-liquid two-phase flow model, constructing a heat pipe finite element model comprising different flow guide units, performing multi-physics field simulation, and outputting simulation data; performing quantitative evaluation on different diversion styles based on simulation data, screening out an optimal style, setting a plurality of parameterized design variables for the optimal style, and constructing a plurality of finite element models; therefore, multiple rounds of finite element simulation analysis are carried out, the heat dissipation performance under different parameters is compared, the optimal parameters are finally determined, and optimal design of the overall strength bearing and heat conduction performance of the aluminum alloy heat pipe is achieved.

A set Kalman filtering turbulence model assimilation method based on full field similarity criterion is disclosed, which comprises the following steps: sensitivity analysis is performed on the coefficients of the candidate turbulence model to obtain sensitive coefficients and their sampling range for Latin hypercube sampling, i.e., sampling interval; model constant sample combinations are extracted from the sampling interval by using a directional Latin hypercube sampling method, and target flow field results are calculated; a data assimilation algorithm based on the set Kalman filtering algorithm is used for the target flow field results and the model constant sample combinations, and after obtaining the optimized model constant combination, the model constant combination is updated and verified in cycles to obtain the optimal model parameter combination; finally, the improved turbulence model is used to simulate the internal flow field of the fuel assembly in the core of the pressurized water reactor with high similarity. The present application can provide an objective evaluation standard for the full physical field similarity of the data assimilation method, significantly improve the convergence speed of the algorithm, strengthen the robustness of the algorithm, and reduce the calculation cost of the algorithm.

The invention belongs to the field of oil and gas field exploration and development, and discloses a numerical reservoir model optimization and history fitting method and related device.The method comprises the steps that firstly, geological exploration data are utilized, a spatial clustering algorithm is adopted to automatically determine the local updating range of a structural model, and structural layers and stratums are optimized through spatial interpolation; outputting an optimized construction model and uncertainty measurement; based on the model and logging lithofacies attribute data, adaptively identifying a lithofacies updating key area and variation function parameters by applying a machine learning algorithm, and performing lithofacies simulation to output an optimized lithofacies model; combining the porosity, permeability and saturation attribute data, adaptively determining an attribute optimization range and variation function parameters by adopting a probabilistic neural network, and outputting an optimized attribute model through phase control attribute modeling; a three-dimensional oil-water two-phase black oil seepage model is constructed, a global optimization algorithm is adopted to automatically adjust parameters based on a target function, simulation data is calculated until convergence, optimal parameters are output to complete historical fitting, and efficient and reliable intelligent support is provided for complex oil reservoir development.

The application relates to the technical field of particle flow simulation, in particular to a CAE simulation method for C-type particle flow state based on a double Euler model, which defines model parameters under a secondary agglomeration theoretical model according to the agglomeration mechanism of C-type particles from initial agglomeration to secondary agglomeration, the model parameters including particle phase diameter, particle phase density, particle phase volume fraction and particle phase shear viscosity, thereby establishing a local dynamic agglomeration particle model (LDAP model) for C-type particles based on an Euler multiphase flow model, and performing C-type particle flow state simulation; the method can realize the setting of numerical simulation conditions and the simulation of the flow behavior of C-type particles through simple flow field calibration and parameter setting, can intuitively reflect the real-time state of the particle agglomerate diameter at any local position in the flow field, has higher accuracy in describing the motion state of particles and gas under the condition of particle agglomerate diameter difference, and can balance the calculation efficiency without increasing the number of particle phases for varying particle diameters.

The invention provides a bionic honeycomb liquid cooling micro-channel heat exchanger structure and a design method thereof, and the design method comprises the steps of heat exchanger three-dimensional modeling design, fluid dynamics optimization design calculation and comprehensive performance comparison, designing an inner channel structure of a bionic honeycomb and a heat source connection part at the bottom of the heat exchanger by utilizing three-dimensional modeling software, and importing finite element software. Dividing grids, establishing a finite element model, setting a laminar flow model, adding a heat source, cooling water flow and other boundary conditions, simulating fluid flow and heat transfer in the heat exchanger, obtaining a fluid dynamic model of the bionic honeycomb heat exchanger, and recording temperature field and flow field data. And the comprehensive performance of the bionic honeycomb liquid cooling micro-channel heat exchanger is calculated, the structural parameters are changed, the comprehensive performance of honeycomb heat exchangers of different structures is compared, and finally the bionic honeycomb liquid cooling micro-channel heat exchanger with the optimal comprehensive performance is obtained through optimization. According to the method, organic combination of design and performance is achieved, and theoretical guidance is provided for structural design of the bionic honeycomb liquid cooling micro-channel heat exchanger.

The present application belongs to the field of image denoising, and in particular to a three-dimensional point cloud denoising method. The device and method are based on Laplace regularization subspace non-local low rank learning, and extend the previously proposed low-dimensional flow model of pixel blocks to surface blocks in point clouds. The graph Laplace regularizer of the surface is used to obtain the manifold dimension of the 3D point cloud image. Then, based on the principle that the high-dimensional information of the image point cloud is located in a low-dimensional subspace, the subspace non-local low rank factor is used to study the non-local self-similarity of the subspace, estimate the three-dimensional tensor generated by the non-local similar three-dimensional surface, and finally use the three-dimensional tensor to construct a denoising model to obtain a denoised image with better visual and quantitative indicators. The denoised image point cloud obtained by the method can better preserve the visually significant structural features, and the quantitative indicators are also good.

The application discloses a kind of long approach in paste flow slope angle prediction method, belong to filling technical field, solve the prediction of filling slope angle in prior art is based on experience formula or static homogeneous model, unable to consider the influence of waste rock dynamic settlement on slurry flow resistance and slope form Problem, the method includes based on paste raw material basic parameter construction paste similarity model, based on range analysis combined with interaction analysis influencing factor on the influence degree of flow slope angle, convert flow slope angle calculation model into slope angle satisfaction function, obtain slope angle optimal filling parameter;The present application can comprehensively study the influence of multiple influencing factors and their interaction on paste flow slope angle through the pre-design and implementation of orthogonal experiment scheme, avoids the one-sidedness that single factor analysis may bring, makes the influence law obtained more comprehensive and in-depth, and is different from the homogeneous flow model or simplified discrete element model that the existing numerical simulation method is mostly used.

The invention discloses an air-water cross-medium shell whole-course trajectory firing table compiling method, and belongs to the technical field of outer ballistic cross-medium trajectory correction theories, cross-medium fluid dynamics and artillery firing table compiling. The method comprises numerical simulation of an air trajectory, a water entry trajectory and a water trajectory and a whole-course trajectory shot table fast interpolation algorithm. Wherein the air trajectory is solved based on a six-degree-of-freedom trajectory model; the water entry trajectory and the underwater trajectory are obtained by solving a fluid control equation by adopting a fluid volume (VOF) multiphase flow model, a turbulence model, a cavitation model and a dynamic grid technology; the full-ballistic shot table fast interpolation algorithm is realized based on a least square method and a linear interpolation algorithm. The method is suitable for the cannonball trajectory air-water cross-medium condition, the rapid and accurate calculation problem of firing elements of an artillery fire control system in the air-water cross-medium environment of the firing table is solved, the continuity of the cross-medium full-trajectory firing table is achieved, the blank of the cross-medium firing table is filled up, and the cross-domain combat ability of an artillery weapon system is effectively improved.