61 results about "Phase model" patented technology

The invention relates to an analogue simulation-based gas atomization pulverization analysis optimization method, which comprises the following steps of: constructing a two-dimensional axisymmetric geometric model of gas atomization equipment, and setting boundary conditions; respectively simulating flow field evolution and particle size distribution by combining a single gas phase model, a VOF two-phase flow model and a DPM discrete phase model based on the geometric model; and according to a simulation result, analyzing and optimizing baffle parameters in gas atomization powder preparation. According to the method, details which are difficult to observe in an experiment can be captured, and a simulation result can be visually displayed, so that analysis and understanding are facilitated; and meanwhile, a baffle is added into the two-dimensional geometric model, and parameters of the two-dimensional geometric model are optimized through analogue simulation, so that the particle size, the distribution condition and the atomization efficiency of the powder are improved.

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 relates to the technical field of steel continuous casting production, in particular to a simulation method and system for dynamic distribution of inclusions in a continuous casting billet and a computer program product, and the simulation method comprises the following steps: constructing a three-dimensional model of the continuous casting billet, importing FLUENT software, and simulating fluid movement in the continuous casting billet; simulating the growth process of the solidified blank shell until the blank shell is completely solidified; injecting and tracking inclusions in the dispersed phase model; the positions of the inclusions in the continuous casting billet are obtained at each time step, and whether the inclusions meet the criterion of being captured by the solidified billet shell or not is judged; if yes, the speed of the inclusions is removed, and a new speed is given to the inclusions according to the positions of the inclusions in the continuous casting billet; and exporting inclusion information at an outlet of the continuous casting billet. According to the method, the obtained dynamic distribution simulation result of the inclusions is closer to the actual production, the distribution condition of the inclusions in the continuous casting blank can be accurately reflected, and the production of the casting blank is effectively guided.

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 present invention discloses a method for establishing and controlling the amplitude-phase model of a voltage-controlled inverter, belonging to the technical field of distributed power grid-connected inverter control. The method includes establishing a three-phase inverter time-domain state space model in the dq coordinate system; constructing the connection between the traditional model and the amplitude-phase model in the dq two-phase coordinate system, so that the amplitude-phase model can be represented more simply and clearly; decoupling the coupled physical quantities of the three-phase inverter in the dq rotating coordinate system, designing a control circuit according to the three-phase inverter model in this coordinate system, and constructing the amplitude-phase model of the three-phase inverter according to the previously derived connection. The present invention introduces complex variables, uses the amplitude and phase angle to describe the physical quantities of the three-phase inverter after being converted into polar coordinate form. The amplitude-phase model is more concise in derivation and calculation than the traditional model, and is also more intuitive and clear when observing the changes in the amplitude and phase angle of the inverter output.

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.

This application discloses a simulation and optimization design method for a snow plow for EMUs based on multi-physics field coupling. Efficient snow plow design is achieved through three stages: physical modeling, experimental verification, and parameter optimization. The method collects environmental parameters for line snowfall and snow density, establishes a soft-ball dynamics model for snow particles based on the Hertz-Mindlin with JK R Cohesion contact model, and simulates the wall-covering snow process using a discrete phase model. The simulation accuracy is verified through snow removal experiments. A parameterized snow plow model is constructed, and shape parameters are introduced to modify the driving resistance coefficient, evaluate snow removal performance, and select the optimal geometric parameter combination. The vehicle model is constructed by integrating the front end, modifying the snow removal resistance formula under multi-body coupling, and generating snow plow selection recommendations. Simulating different snow depth and speed conditions, a correlation model is established, and the maximum safe vehicle speed threshold that meets operational constraints is output. Through multi-physics field coupling simulation and parameter optimization, the limitations of traditional design relying on experience are overcome, achieving coordinated optimization of snow removal efficiency, driving safety, and structural strength.

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 present invention belongs to the technical field of disaster simulation, and relates to a simulation method for the transformation process of rock-ice avalanche into debris flow. The method includes: establishing the fluid-phase mass conservation equation, ice-phase mass conservation equation, and rock-phase mass conservation equation for the transformation process of rock-ice avalanche into debris flow, as well as the momentum conservation equations for the fluid phase, ice phase, and rock phase, and simultaneously establishing the energy conservation equation for the mass flow to obtain the governing equations of the depth-averaged three-phase model; using the second-order accurate finite volume method combined with the finite volume method and Roe approximate Riemann solver to solve the flux terms of the governing equations of the depth-averaged three-phase model to obtain the temporal and spatial distributions of the flow depth, flow velocity, phase volume fraction, and temperature. The present invention simulates the real physical process including the positive and negative conversion of temperature by considering the interactions between the rock phase, ice phase, and fluid phase, and describes the transformation process of rock-ice avalanche from granular flow to debris flow.

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 present invention discloses a method for tuning the parameters of a three-phase model predictive controller. A penalty term for the increment of the predicted output is added to the optimization proposition compared with the traditional MPC algorithm, improving the control quality and enhancing the robustness of the closed-loop system at the same time. The parameter tuning steps are as follows: conduct an identification experiment on the controlled object, collect input and output data, perform model identification calculations to obtain the object model; determine the model time domain, prediction time domain, and control time domain according to the model of the controlled object; normalize the input and output variables of the controlled object; determine the prediction error weighting coefficient and the predicted output increment weighting coefficient from the desired closed-loop first-order step response time; given the upper and lower bounds of the input overshoot, determine the input increment weighting coefficient through multiple closed-loop step test simulations to ensure that the overshoot of the control quantity is within the constraint range. The parameter tuning method of the present invention is simple, intuitive and effective, greatly simplifying the complex MPC tuning work and realizing high-quality and high-robustness MPC control.

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.

The invention discloses a molecular dynamics simulation method and system for a bearing steel material microscopic crack initiation in-situ tensile test, and belongs to the field of alloy multi-scale modeling. Comprising the following steps: acquiring qualitative and quantitative analysis results of elements in a test area; carrying out EBSD data post-processing on the basis of a crystal structure loaded with an area needing to be subjected to in-situ tensile testing, matrix crystallography information and crystal information containing a second phase to obtain a matrix crystal boundary diagram, a matrix single crystal grain diagram and a second phase diagram of the testing area, and converting the matrix crystal boundary diagram, the matrix single crystal grain diagram and the second phase diagram into a mask file; constructing a crystal boundary model, a single crystal grain model and a second phase model based on the mask file in combination with the mask, and combining; obtaining a matrix full-atom model doped with a second phase; removing atoms contained in the second phase according to the element atomic percentage obtained by EPMA, and calculating the number of solid solution doping atoms of each element lacked in the current model; carrying out solid solution doping on each element atom by using Lammpps software to finish in-situ stretching molecular dynamics modeling; and stretching molecular dynamics simulation is completed.

The application discloses a deep migration phase-controlled velocity inversion modeling method under a complex deposition environment, and comprises the following steps: constructing an initial depth domain layer velocity model; obtaining CIP gathers and stacked data thereof; obtaining a residual velocity field, and updating the velocity model; iteratively updating the velocity model, and obtaining an intermediate velocity model; obtaining intermediate prestack depth migration imaging result data; forming a deposition phase boundary constraint file; on the basis of the intermediate velocity model, implementing deposition phase control on the inversion process and result through the deposition phase boundary constraint file; and after multiple iterations, obtaining a final prestack depth migration layer velocity model and the like. The application is based on tomographic velocity inversion technology, and fuses a deposition phase model and a velocity model, so that the phase-controlled velocity model inversion modeling of the complex deposition environment is realized; the consistency of the constructed velocity model and the deposition phase model is better, the prestack depth migration imaging quality corresponding to the velocity model constructed by the application is better, and the homing is more accurate.

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.