518 results about "Fluid modeling" patented technology

The invention discloses a complex terrain wind field numerical simulation method considering turbulence anisotropy, and the method comprises the steps: considering the turbulence anisotropy of an inflow boundary, and determining the condition type and parameters of the inflow boundary; acquiring ground roughness information of the complex terrain, and correcting a wall surface function; obtaining high-precision topographic data, determining a computational domain range, and generating a computational domain grid; on the basis of an inflow boundary turbulence retentivity principle and a leeward slope flow separation characteristic, a turbulence model closing coefficient is corrected; and the corrected linear pressure strain RSM model is adopted to simulate a complex terrain wind field value, and complex terrain wind field flow field information is obtained. According to the method, the inlet boundary and leeward slope turbulence anisotropy are considered, the wall function is corrected, meanwhile, the complex terrain modeling and grid generation mode is simplified, and the simulation precision is effectively improved.

The invention discloses an integrated water quality monitoring and processing system for aquaculture, and the system comprises a data collection module which is used for obtaining dissolved oxygen, ammonia nitrogen, pH value, temperature and flow data from a plurality of spatial distributed sensing nodes; the data preprocessing module is used for completing noise removal, correction and time sequence synchronization; the water quality state estimation module is used for outputting real-time multi-point water quality states based on a distributed unscented Kalman filtering algorithm; the space-time fluid modeling module is used for constructing a Lagrange model to extract a flow velocity field and a diffusion coefficient; the scheduling optimization module is used for generating an aeration and dosing scheme by adopting an improved multi-target Pareto optimization algorithm based on a space-time sensitive boundary; the execution module is used for controlling an air blower, an aeration pipe and a dosing pump to complete oxygenation and dosing operations; and the self-adaptive updating module is used for collecting feedback data to adjust filtering gain and optimizing parameters so as to realize closed-loop control of the system.

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 relates to the technical field of oil exploitation, and provides a CFD-based electric submersible pump oil-gas-water three-phase flow adaptability analysis method and system, and the method comprises the steps: constructing a three-dimensional geometric model of an electric submersible pump, carrying out the initial grid division through CFD software, and optimizing the grid density through a self-adaptive grid refinement algorithm; setting oil well boundary conditions, a turbulence model and cavitation model parameters; steady-state and unsteady-state simulation calculation is carried out, and a flow field distribution diagram in the electric submersible pump is obtained; key performance parameters are extracted; simulating flow characteristics of oil-gas-water three-phase flow by adopting a turbulence model optimization algorithm based on multiphase flow coupling and combining a turbulence model, a multiphase flow model, an interphase turbulence correction term and an interphase interaction force model; and carrying out adaptability analysis on the oil-gas-water three-phase flow of the electric submersible pump. All-around technical support can be provided for design, operation and maintenance of the electric submersible pump, and technical progress and development of the oil exploitation industry are powerfully promoted.

The invention provides a digital twinning-based water flow dynamic analysis method and a big data analysis system, and the method comprises the steps: obtaining a historical water flow data set of a target water area, collecting a real-time water flow monitoring data set, and constructing a digital twinning water flow model corresponding to the target water area; performing multi-modal feature fusion processing on the historical water flow data set and the real-time water flow monitoring data set to generate a dynamic water flow feature set, loading the dynamic water flow feature set into a digital twin water flow model based on a spatial distribution topological structure of the digital twin water flow model to generate a water flow dynamic change rule set, and performing dynamic water flow change on the dynamic water flow change rule set. And generating a water flow optimization strategy set according to the water flow dynamic change rule set, and feeding back the water flow optimization strategy set to the water flow regulation and control system to execute dynamic regulation and control operation. By adopting the technical scheme of the invention, the space adaptability and the dynamic response capability of the water flow optimization strategy decision can be obviously improved.

The invention relates to the technical field of oil field production real-time monitoring and pre-warning, and particularly discloses a three-dimensional modeling simulation method and system for oil and gas production early warning, and the method comprises the steps: constructing an oil and gas well productivity prediction model according to an IPR curve between the oil well yield and the flowing pressure; using a Begs-Brill method to construct a multiphase pipe flow model of the oil field shaft; constructing an oil nozzle flow model according to the relationship between the mass flow and the pressure difference of the oil-gas mixture passing through the oil nozzle equipment of the oil well; and according to the oil and gas well productivity prediction model, the oil field shaft multiphase pipe flow model and the oil nozzle flow model, an oil well production early warning model based on a support vector machine is constructed, so that the production state of an oil well is monitored in real time, and possible problems are predicted and early warned by learning historical data.

The invention discloses a method and a system for simulating bubble motion in transformer oil by considering multi-physics field coupling, and the method comprises the steps: fusing an energy equation into a mass conservation and momentum conservation equation, and constructing a multi-physics field model which considers the coupling of an electric field, a thermal field and a flow field; introducing a k-epsilon turbulence model into the multi-physics field model to obtain a first optimized multi-physics field model; the k-epsilon turbulence model is an oil flow model in a large transformer; introducing a phase field method into the first optimized multi-physics field model to obtain a second optimized multi-physics field model; various forces of bubble motion are introduced into the second optimized multi-physics field model, and a third optimized multi-physics field model is obtained; and performing parameter solving on the third optimized multi-physical field model to obtain the movement process of the bubbles in the transformer oil. According to the invention, a multi-physical field model considering coupling of an electric field, a thermal field and a flow field is constructed, and comprehensive and accurate simulation of bubble motion in transformer oil is realized.

The invention discloses a deep well gas cut stratum parameter inversion method and system based on a gas-liquid two-phase flow model, and the method comprises the steps: firstly building a gas-liquid two-phase flow model based on a shaft flow equation, and carrying out the discrete solving of a mathematical model through a finite difference algorithm; and then an unscented Kalman filter (UKF) is combined to construct an inversion model of formation parameters, and the formation pressure and the production index in the gas cut process are inverted by using the measurement data of the difference between the riser pressure and the liquid inlet and outlet flow. According to the stratum parameter inversion method provided by the invention, the stratum parameters can be accurately inverted, a basis is provided for accurate prediction and effective control of gas cut, and the application prospect is wide.

The invention discloses a method for measuring corrosive wear of a gas-liquid-solid three-phase flow pipeline in the presence of an oxide layer. The method comprises the steps that modeling software is used for conducting modeling and grid division on a pipeline; secondly, loading a coupling interface for continuous phase and discrete phase calculation, selecting a corresponding multiphase flow model, a turbulence model and a particle motion model to obtain particle and continuous phase motion information in a computational domain, and inputting corresponding parameters such as turbulence dissipation rate and the like; and loading the corrosive wear model in the simulation process to obtain the corrosive wear rate of the gas-liquid-solid three-phase flow pipeline so as to quantitatively characterize the corrosive wear degree of the gas-liquid-solid three-phase flow pipeline. According to the method, high-risk area prediction of pipeline corrosion and wear can be realized, and the method for predicting corrosion and wear of the gas-liquid-solid three-phase flow pipeline under the condition that the oxide layer exists is constructed, so that the method is of great significance in pipeline corrosion and wear protection, oil and gas field safety production guarantee and economic loss reduction.

The invention relates to the technical field of computational simulation, in particular to a fluid mechanics calculation method and system based on CFD simulation optimization. The method comprises the following steps: acquiring a flow field CFD original simulation model corresponding to fluid mechanics; generating a fluid mechanics flow field key grid area by setting the size of a flow field calculation domain grid and performing calculation domain grid division and flow field key area identification; the method comprises the following steps of: obtaining a grid length-width ratio and torsion resistance corresponding to each grid subunit in the grid, and carrying out grid constraint updating to generate a fluid mechanics flow field updating grid region; a corresponding Reynolds number and a turbulence scale are obtained through the fluid mechanics flow field updating grid area, turbulence model dynamic selection modeling is carried out, and a flow field grid area dynamic turbulence model is generated; and carrying out finite volume division and error simulation correction optimization on the dynamic turbulence model of the flow field grid region to obtain a corrected fluid mechanics flow field quantity calculation result. According to the method, collaborative improvement of fluid mechanics calculation precision and efficiency can be realized.

The invention discloses a complete machine variable-dimension simulation method based on a circumferential average flow model, belongs to the technical field of aero-engine numerical simulation and multi-scale modeling, and solves the problem that complete machine simulation efficiency and local flow detail precision are difficult to consider at the same time in the prior art. And traditional full-three-dimensional computing is too high in resource consumption and cannot quickly evaluate the performance of the whole machine. According to the method, a zero-dimensional complete machine and component two-dimensional model of the aero-engine is firstly established, dimensionality reduction is carried out by using a circumferential average N-S equation, the two-dimensional model is embedded into the zero-dimensional model, an equivalent replacement variable reconstruction equation set is solved, synchronous convergence of the complete machine and component models is realized, and simulation precision and efficiency are improved. According to the method, a full coupling mode is adopted, two-dimensional dimension reduction modeling is combined, minute-level convergence is achieved, the simulation error is not larger than 5%, the simulation precision is improved, the calculation efficiency is improved, rich S2 flow field information can be provided, and the research and development cost and period are reduced.

The invention provides a bearing / heat exchange integrated outer duct heat exchanger structure and a design method thereof. The design method mainly comprises the steps of heat exchanger three-dimensional modeling design, computational fluid dynamics optimization design and steady-state thermal stress analysis, three-dimensional modeling software is used for designing an inner flow channel structure and an outer fin structure of an outer duct air heat exchanger, and finite element software is imported. The method comprises the following steps: dividing grids, establishing a finite element model, setting a turbulence model, adding boundary conditions of the external duct heat exchanger, performing fluid flow and heat transfer simulation in the heat exchanger to obtain a fluid dynamic model of the external duct heat exchanger, transmitting temperature field simulation data to the finite element model, and performing steady-state thermal stress simulation to obtain a stress distribution nephogram. And structural performance evaluation is performed in combination with strength analysis. According to the method, the simulation efficiency can be improved on the premise that the simulation precision is not lost, organic combination of design / performance is achieved, and theoretical guidance is provided for structural design of the bearing / heat exchange integrated outer duct heat exchanger.

The invention belongs to the technical field of bubble dynamics and multiphase flow and artificial intelligence, and particularly relates to a high-pressure bubble pulsation load prediction and initial parameter inversion method and system based on artificial intelligence. The underwater high-pressure bubble pulsation process is studied, and interface evolution data in the high-pressure bubble pulsation process are obtained; establishing a compressible VOF-PINN multiphase flow model, and predicting unknown parameters and pulsating load characteristics of bubbles in combination with the initial boundary value; dividing a prediction problem into a positive problem and an inverse problem according to known data; establishing a model which can be used for predicting forward and reverse models; for a positive problem, training and predicting the VOF-PINN model by using a gradient descent optimization algorithm; and for the inverse problem, bubble initial parameter identification is realized. The invention aims to solve the problems that recalculation is needed for changing calculation parameters in numerical simulation, grid division is complex and tedious, high-fidelity data cannot be directly included, and initial parameters in experimental research are uncertain.

A method for predicting rotating turbulent flows using a BSTMQ turbulence model is provided, which can improve the effectiveness of predicting the internal flow field of fluid machinery. The method includes the steps of performing solid modeling of a rotating turbulent flow prediction target by 3D modeling software to obtain a simulation model, meshing the simulation model, improving the eddy viscosity damping function of an existing STRUCT turbulence model to construct a BSTMQ turbulence model, and performing a numerical simulation calculation of the rotating turbulence using the BSTMQ turbulence model by a calculation program based on OpenFoam to obtain a prediction result of the rotating turbulence of the prediction target. The BSTMQ model can better simulate the rotating turbulent flow, improve the prediction effect of the internal flow field of fluid machinery, and provide a new idea for efficiently and accurately calculating the rotating turbulent flow in fluid machinery.

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.

A worm and worm gear pair heat-fluid-solid coupling analysis method comprises the following steps that 1, a heat-fluid-solid coupling simulation analysis model of a worm and worm gear pair is built, and a three-dimensional geometric model is built based on the worm and worm gear meshing principle; 2, parameterized grid division is carried out on the simulation analysis model, a tetrahedral unstructured grid is adopted for a fluid domain, and a worm and worm gear tooth surface area is densified; 3, based on the fluid dynamics theory and an RNG # imgabs0 # turbulence model, establishing an oil-immersed lubricating oil gas two-phase flow transient simulation model, and solving fluid dynamic pressure and a convective heat transfer coefficient through a pressure-speed coupling algorithm; 4, establishing a three-dimensional transient dynamic simulation model based on a solid mechanics theory, combining a temperature-stress coupling field equation, adopting an explicit dynamic algorithm, and iteratively solving thermal deformation and stress strain of the worm and the worm gear through a finite element method; and 5, bidirectionally transmitting the pressure of the fluid domain, the convective heat transfer coefficient and the thermal deformation data of the solid domain through the fluid-solid interface, and carrying out iterative solution until convergence.

The invention belongs to the technical field of computational fluid dynamics, and discloses a numerical simulation method for supersonic shock wave turbulence interference, comprising the following steps: S100 initializing flow physical quantities in the Reynolds-averaged Navier-Stokes equations and turbulence characteristic quantities in the #imgabs0#SST turbulence model equation; S200 solving the RANS equation to obtain the #imgabs2# at the #imgabs1#th moment; calculating the scale-reduced dimensionless adverse pressure gradient quantity #imgabs3# according to the correlation value obtained in S200; calculating the adjustment function #imgabs5# according to the #imgabs4# value obtained in S300 to obtain an improved turbulent kinetic energy generation term #imgabs6#; solving the improved #imgabs8#SST turbulence model equation according to the #imgabs7# obtained in S400 to obtain #imgabs9#; substituting the #imgabs10# obtained in S500 into S200, and solving it iteratively until the RANS equation residual is Res n Less than a certain value e or reach the maximum number of steps N = N max When , the iterative solution stops. According to the average value of the latest flow physical quantity output by S600 #imgabs11#, the numerical simulation ends.

The invention discloses a large-span warehouse structure wind resistance design method and system based on wind load numerical simulation. Establishing an initial computational fluid dynamic model according to the initial structure data of the large-span warehouse structure; constructing a corresponding fluid control equation and a turbulence model based on the initial calculation fluid dynamic model; performing wind load numerical simulation according to a preset working condition, the initial calculation fluid dynamic model, the fluid control equation and the turbulence model to obtain wind load data; inputting the wind load data and the initial structure data into a wind load-stress mapping model to obtain a predicted member stress value of the large-span warehouse structure; and comparing the predicted member stress value with a member stress maximum value, and determining a wind resistance design result of the initial structure data of the large-span warehouse structure. According to the scheme, the wind load of the large-span warehouse structure is simulated through the actual dynamic working condition, and the wind resistance design result of the large-span warehouse structure is evaluated according to the simulated wind load, so that the evaluation result is more accurate.

The invention discloses a method for simulating sediment erosion around an offshore wind turbine foundation by combining ISPH with a modified k-epsilon turbulence model. The method comprises the following steps: establishing an ISPH discrete algorithm for solving an average mass conservation equation and a momentum conservation equation of a fluid dynamic ensemble; correcting the standard k-epsilon turbulence model, and calculating the turbulence vortex viscosity vt in the Reynolds stress tensor expression; a critical starting theory on a slope is introduced, a traditional two-dimensional sediment starting model is corrected and expanded, and a three-dimensional sediment starting model is established; establishing a local scouring experiment water tank model of the offshore wind turbine single pile foundation; establishing a corresponding ISPH numerical water tank model; the experimental water tank model and the numerical water tank model respectively simulate the characteristics of the scouring process of sediment around the cylinder, and a numerical simulation result and an experimental result are compared, verified and analyzed. By means of the method, the sediment erosion process around the offshore wind turbine single-pile foundation can be well simulated, the calculation time is short, and the requirements of actual engineering can be met.

The invention discloses an estuary region ship lock hydrodynamic simulation method and system, and relates to the field of numerical simulation, and the method comprises the steps: obtaining estuary region ship lock data; hydrological data are collected; according to estuary area ship lock data and hydrological data, a hydrodynamic model based on an Euler-Lagrange circulation model is constructed, and the hydrodynamic model comprises a bottom friction resistance coefficient # imgabs0 # describing the influence of riverbed roughness on water flow movement; utilizing the hydrodynamic model to obtain the simulated flow velocity of the estuary region ship lock through numerical solution; using an ensemble Kalman filtering algorithm, comparing the simulated flow velocity with the actually measured flow velocity, and performing optimization training on the bottom friction resistance coefficient # imgabs1 # to obtain an optimal bottom friction resistance coefficient # imgabs2 #; the optimal bottom friction resistance coefficient # imgabs3 # is used as input, the hydrodynamic model is used for simulating the hydrodynamic process of the estuary region ship lock, and the water flow field change process of the estuary region ship lock is obtained. Aiming at the problem that in the prior art, the bottom friction resistance coefficient cannot dynamically adapt to the complex estuary environment, accurate simulation of the complex hydrodynamic environment of the ship lock in the estuary area is achieved.

The invention relates to a method for calculating the slag entrapment amount of continuous casting covering slag based on computational fluid mechanics, which adopts a large eddy simulation (LES) turbulence model, a multiphase flow model (VOF) and a discrete phase model (DPM) in CFD calculation, and combines a grid self-adaptive coarsening and refining mechanism and a VOF-to-DPM conversion mechanism. The method is used for numerical simulation and control of the slag entrapment amount of the continuous casting covering slag under the argon blowing condition, a slag entrapment mode calculation result is verified through a water model experiment, and a numerical simulation calculation result obtained through the method is well matched with a water model experiment result. Compared with the prior art, the method has the advantages that the slag entrapment amount of the continuous casting covering slag can be effectively calculated, and a basis is provided for controlling the slag entrapment amount of the covering slag.

The invention discloses a test device and a test method for filling fracture seepage-erosion visualization. The test device comprises a fracture overflowing model, a fluid flow control system and an image and pressure data acquisition and analysis system. The fracture overflowing model has the appearance of a real rock fracture surface, and the opening degree can be quantitatively adjusted through a filler gauge gasket; the fluid flow control system uses a peristaltic pump and a stirrer to provide constant-flow fluid and particle input for the fracture overflowing model; according to the test device, the light transmission principle is utilized, quantitative and visual observation and research of the seepage-erosion process of the filled fracture are achieved, and form and permeability evolution data of a particle erosion area in the filled fracture are accurately obtained.

The invention discloses a modeling method and a turbulence prediction method of a wind turbine airfoil turbulence model. The modeling method comprises the following steps: acquiring an incoming flow working condition and a geometric shape of a wind turbine airfoil, performing grid division, and calculating a wall surface distance; constructing an RANS turbulence model, and calculating a flow field data prediction value of each grid point; correcting the flow field data predicted value by adopting a data assimilation algorithm to obtain a flow field data high confidence value; calculating a vortex viscosity correction factor and turbulent flow characteristic data of each grid point, and forming a characteristic set of the grid points by using the wall surface distances of the grid points and the turbulent flow characteristic data; a symbolic regression algorithm is adopted to extract a vortex viscosity correction factor function expression, and a data assimilation algorithm is adopted to correct the vortex viscosity correction factor function expression; and correcting the RANS turbulence model by adopting the corrected vortex viscosity correction factor function expression to obtain the wind turbine airfoil turbulence model. The wind turbine airfoil turbulence model constructed by the method can describe the wind turbine airfoil turbulence more accurately, and the prediction precision is improved.

Provided is a turbulent flow simulation method in which a computer uses a large-eddy simulation to analyze a flow field of a fluid, the method comprising: acquiring a simulation condition (S10); performing, on the basis of the acquired simulation condition, analysis of the flow field of the fluid by means of the large-eddy simulation (S20); and outputting an analysis result of the flow field of the fluid (S30). In the analysis of the flow field of the fluid, a turbulent flow model that includes an error term of a Navier-Stokes equation derived from a lattice Boltzmann equation as a correction term associated with coarse graining in the large-eddy simulation is used, the correction term being a body force calculated from eddy stress associated with the coarse graining.

The invention discloses a cross-scale multi-physics-field coupling aero-engine warming-up process analysis method. The method comprises the steps that firstly, an engine air system one-dimensional network model, a fuel and lubricating oil system one-dimensional network model, a wheel disc and cartridge receiver two-dimensional axial symmetry model, a blade parameterization model and a main runner quasi-one-dimensional model are established; then calculating an air system boundary and a fuel and lubricating oil system boundary by using a main runner cavity method, then calculating the fuel and lubricating oil system boundary and the air system boundary by using a one-dimensional transient fluid network method to obtain a heat exchange boundary of a wheel disc and a cartridge receiver, and considering a thermal load and a centrifugal load in an unsteady state heat conduction process; calculating the radial displacement of the wheel disc and the casing by using a two-dimensional axisymmetric finite element method, and calculating the temperature and the radial displacement of the blades by using an engineering algorithm; and finally, integrating the radial displacement of the wheel disc, the blades and the casing and the initial blade tip clearance value to obtain the blade tip clearance value of each stage in the transient process, and feeding back the blade tip clearance value to the mainstream model again to realize iterative calculation. The analysis precision of each physical field is improved, and the calculation time consumption is reduced.

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 parallel computing simulation method for thermal exploitation of a buried pipe well group in a geothermal reservoir, which comprises the following steps of: dispersing a grid volume unit of a buried pipe by adopting a parallel finite element unit method, and simplifying the buried pipe and circulating fluid in the pipe into a one-dimensional linear finite element unit; constructing a plurality of pipeline flow models arranged in an array, and combining the in-pipe one-dimensional linear units and the out-pipe three-dimensional volume units to obtain a well group type pipeline flow geometric model; a parallel finite element unit method is adopted to be combined with a non-isothermal pipeline flow physical field, an underground water seepage physical field and a porous medium heat transfer physical field to conduct multi-physical-field coupling, and a well group type pipeline flow numerical model is obtained; fluid flow and convective heat transfer in the buried pipe and pipe wall heat conduction are solved in a combined mode; and performing factor sensitivity analysis by changing different thermophysical parameters of the rock-soil body and heat exchange characteristic factors of the buried pipe well group. The invention provides a new method for researching fluid flowing and heat transfer behaviors of the buried pipe well group, and provides a new idea for optimal design and efficient simulation of thermal exploitation of the buried pipe well group in a geothermal reservoir.

The invention discloses a self-adaptive parameter identification method for an SST turbulence model in shock wave boundary layer interference, and the method comprises the steps: S1, constructing a high-dimensional sample space according to a closed parameter interval range of the SST turbulence model under a determined working condition, carrying out the optimal Latin hypercube sampling, and uniformly obtaining the sample information in the whole space, and enabling the sample information to serve as an input parameter sample; s2, performing numerical simulation based on an input parameter sample and a determined working condition to form a model prior sample set; s3, according to the model prior sample set, constructing a flow field wall surface pressure prediction model under shock wave boundary layer interference based on an improved Bayesian neural network; and S4, based on the flow field wall surface pressure prediction model under the interference of the shock wave boundary layer, performing adaptive parameter identification on the SST turbulence model by adopting a particle swarm optimization algorithm to obtain the optimal closing parameter of the SST turbulence model for realizing the high-precision simulation of the flow field. According to the method, the numerical simulation precision and speed are improved, and technical support is provided for safe and reliable work of the scramjet engine in a complex environment.

The invention provides a cooling fan performance calculation method based on multi-physics field coupling. The cooling fan performance calculation method comprises the following steps that a parameterized geometric model of a fluid domain is established according to the size and the relative position of an engine cooling fan and a wind chamber test bed; respectively inputting the two parameterized geometric models into pretreatment software, respectively carrying out grid division on the two parameterized geometric models by using a grid division tool, and outputting a grid file after geometric discretization of the two parameterized geometric models; the discrete grid file of the engine cooling fan is imported into finite element analysis software, a pretreatment tool is used for defining material parameters for the engine cooling fan, boundary conditions and load constraints are applied, the discrete grid file of a fluid domain is imported into fluid dynamics analysis software, and fluid dynamics analysis is carried out on the engine cooling fan; setting a turbulence model, region and boundary conditions, a solver and the like; establishing a multi-physical field coupling model to realize data exchange among a plurality of physical fields; and operation calculation is carried out, a calculation result is post-processed, and qualitative and quantitative analysis is carried out on the fan performance.