76 results about "Energy equation" patented technology

The invention discloses a supercritical carbon dioxide pipeline transportation simulation method and device. The method comprises the following steps: acquiring physical property data of the supercritical carbon dioxide pipeline; correcting the unit of the physical property data; obtaining a preset steady-state calculation formula; correcting a partial derivative formula in the preset steady-state calculation formula to obtain a corrected steady-state calculation formula; and inputting the physical property data after unit correction into the corrected steady-state calculation formula, and carrying out steady-state calculation so as to realize static simulation of supercritical carbon dioxide pipeline transportation. According to the scheme provided by the invention, by correcting the physical property unit in the steady-state calculation formula and correcting the partial derivative formula of the unit mass flow rate of the energy equation part in the steady-state calculation formula on the fixed distance, the correctness of steady-state data of supercritical carbon dioxide during pipeline transportation is ensured.

The invention relates to a mountain river flood dynamic rehearsal method, device and equipment based on big data fusion and a medium. The method comprises the following steps: acquiring a multi-source fusion data set of a target mountain river; based on the multi-source fusion data set, recognizing the flood type of the target mountain river in combination with a preset threshold rule to obtain the flood type and cause parameters; according to the flood type and the cause parameter, calculating a design flood peak flow value of each node in the target mountain river; according to each design flood peak flow value, performing section-by-section trial calculation through an energy equation to obtain a design flood surface line; and performing dynamic simulation processing on the flood routing process of the target mountain river based on the designed flood water surface line, and generating a flood routing dynamic simulation report of the target mountain river. The method can accurately adapt to the characteristics of diverse causes and complex propagation process of flood in a mountain river, and remarkably improves the refinement degree and reliability of flood rehearsal.

The invention provides a high-filling particle viscous fluid mixed heat generation and transfer multi-scale simulation method and system, and belongs to the technical field of multiphase flow numerical simulation and heat transfer and friction heat generation coupling calculation. A uniform flow-heat generation-heat transfer coupling solution is constructed under a double-fluid model and a KTGF framework; a drag force model more suitable for a dense particle system is introduced in an interphase momentum exchange link; a BVK drag force model is adopted, and dynamic calculation of an interphase exchange coefficient is realized in a solver through a user-defined function; therefore, the prediction consistency of the solid-phase volume fraction distribution and the relative slip velocity under the high filling condition is improved; particle phase dissipation heat generation, solid-liquid interface friction heat generation and particle-wall surface friction heat generation are introduced as controllable heat source items, and are coupled to a liquid phase and particle phase energy equation according to a set heat distribution coefficient, so that the problem that friction related heat sources are difficult to accurately characterize when only software built-in options are relied on is solved.

The present disclosure relates to a method and system for optimizing aerodynamic characteristics of a flow equalization air ring structure in a medium-speed coal mill based on Fluent simulation. The method comprises establishing and optimizing a model of the flow equalization air ring structure, meshing the model using Ansys ICEM, importing meshes, arranging an MRF rotating region on a dynamic ring structure, selecting an energy equation model, setting a DPM and a boundary condition, and adopting a modified mixture gas model based on empirical formulas for boundary conditions at an inlet and outlet, initializing computation information of a mesh node, setting a solver and performing iterative solving, after a computation result converges, performing post-processing on the computation result, storing the computation result, modifying structural parameters, and repeating the above steps to obtain a plurality of simulation results to obtain parameters of an optimal flow equalization air ring structure.

The invention discloses a design method of a uniform condensing lens with wide angular domain receiving performance, which relates to the technical field of space solar power stations and comprises the following steps: constructing energy equations of each receiving area and a plurality of lens ring teeth corresponding to the receiving area by taking uniform energy distribution on each receiving area as a constraint; wherein the lens ring teeth are located on the emergent surface of the lens, and light enters from the incident surface of the lens and reaches each receiving area after being refracted; determining a lens ring tooth number corresponding to each receiving area according to a preset condensation ratio and an energy equation; analyzing the influence of the inclination angle of the lens ring tooth on the optical characteristics of the lens ring tooth, and obtaining the critical value of the inclination angle of the lens ring tooth and the optimal focal length of the lens; and designing a generatrix of the lens, and constructing a uniform condensing lens function with wide-angle-domain receiving performance so as to realize parameter design of the lens. The problem that the condensation efficiency and the light spot uniformity are suddenly reduced during non-vertical incidence of light can be effectively solved.

The invention discloses a battery pole piece baking parameter prediction method, electronic equipment and a storage medium, and relates to the technical field of lithium ion battery manufacturing. The method comprises the following steps: S1, acquiring wind field data based on oven CFD simulation and processing the wind field data into convective heat transfer and mass transfer boundary conditions; s2, calculating a pole piece temperature field and residual solvent content by using a heat and mass transfer resistance model and an energy equation; s3, judging the fluidity of the slurry according to the solvent content: solving a momentum equation considering gravity, wind shear force and surface tension when the content is high, and calculating capillary seepage of the porous medium when the content is low; and S4, explicit iterative calculation is carried out until a pole piece parameter estimated value is output. According to the method, the problem of macroscopic and microscopic scale coupling calculation is avoided through step-by-step decoupling, and the dynamic drying process of the slurry can be accurately reflected.

The invention discloses a heat transfer calculation method for pulsating heat pipes with adjustable inclination angles and liquid filling rates. The heat transfer performance of the pulsating heat pipes with different inclination angles and liquid filling rates is researched by adopting a numerical method; calculating the heat transfer process by solving the energy equation of the steam bomb and the energy and momentum equation of the liquid bomb, so as to predict the pulsation phenomenon of the working medium in the pulsating heat pipe; on the basis of a momentum heat mass transfer model, calculating the phase change heat transfer capacity through film condensation and a down-flow film boiling heat transfer coefficient, investigating the influence of different inclination angles on the liquid film thickness and the down-flow film speed, and increasing the influence of the down-flow film on the liquid elastic length; and the liquid bomb pulsation condition of the pulsating heat pipe under different inclination angles and different liquid filling rates is researched, and then the heat transfer performance of the pulsating heat pipe is calculated. The working heat transfer performance of the pulsating heat pipes with different inclination angles and liquid filling rates and the motion state of the working medium are analyzed and calculated, and guidance is provided for parameter development and engineering application of the pulsating heat pipes.

The invention discloses a method for predicting unfrozen water content in a soil thawing process based on a pre-thawing theory. The method comprises the following specific steps: step 1, deducing an association relationship between an ice-water two-phase chemical potential difference and a temperature difference; 2, establishing an interface energy equation, and deducing a quantitative expression of the thickness and temperature difference of the pre-melting layer; 3, calculating the residual moisture content; 4, a Van Genuchten moisture feature model is introduced to describe the relation between the residual saturation and the temperature; the model prediction precision is excellent, the physical significance is clear, dynamic changes of unfrozen water of different soil textures can be accurately described, and theoretical support and a practical method are provided for cold region infrastructure anti-freezing design and soil moisture prediction.

The invention discloses a multi-stage pipe network leakage positioning method and system based on a hydraulic model sensitivity matrix and sparse inversion, and relates to the field of monitoring and leakage detection of an urban water supply pipe network, and the method comprises the steps: S1, linearizing a pipe network continuity equation and an energy equation at a normal operation point of a baseline working condition, obtaining a sensitivity matrix of the leakage rate and the demand disturbance to the pressure residual error, and establishing a linear approximation relation; s2, constructing an optimization problem with L1 regularization based on the relationship; eliminating a demand disturbance item, converting into a non-negative LASSO problem, and completing suspicious node positioning; s3, convex combination approximation of sensitivity of nodes at the two ends is introduced for the suspicious pipe section, an optimization target is constructed, and the internal leakage continuous position and the leakage amount of the pipe section are estimated; and S4, a joint optimization problem is constructed based on the pressure residual data of the multiple time periods, consistent selection of leakage positions of the multiple time periods is kept, and final leakage positioning is realized. According to the method, pipe network leakage positioning is accurately and efficiently completed through multi-stage progressive positioning.

The application discloses a pulsating heat pipe heat transfer model and a calculation method based on oscillating flow characteristic number, and belongs to the technical field of heat exchange equipment, and comprises the following steps: establishing a pulsating heat pipe model, determining working medium and evaporation section and condensation section temperature; taking initial amplitude, initial frequency, initial liquid film thickness and initial bullet temperature as assumed parameters, solving liquid bullet temperature distribution through a liquid bullet energy equation; constructing a liquid bullet motion equation based on the initial amplitude and the initial frequency, calculating liquid bullet displacement and combining the initial bullet temperature to calculate bullet pressure; calculating bullet temperature according to bullet pressure and performing iterative correction; updating liquid bullet temperature distribution according to the corrected bullet temperature and calculating liquid film theoretical thickness, and performing iterative correction; based on the oscillating flow Nusselt correlation, the initial amplitude and the initial frequency are iteratively corrected, and the sensible heat and the flow thermal resistance are calculated according to the iteratively converged parameters. The application discloses the correlation between the oscillating flow characteristic number and the heat transfer performance, and provides reliable data support for heat pipe design.

The present application relates to the technical field of lithium ion battery thermal management, specifically refers to the Tesla valve fin and battery pack heat dissipation system based on fitting neural network. The CFD simulation module is constructed based on ANSYS Fluent19.2, adopts pressure-based transient solver, the flow model is standard k-epsilon turbulent flow model, contains turbulent flow energy k equation and turbulent dissipation rate epsilon equation, the heat transfer model is coupled with energy conservation equation, the control equation includes continuity equation, momentum equation and energy equation; The boundary condition is set as: three-dimensional flow and heat transfer, ignoring gravity, the wall is copper static wall (temperature 298.15K, no slip at liquid-solid interface), inlet velocity 0.05m / s (downstream inlet right end, upstream inlet left end), outlet is outflow boundary. The beneficial effects of the present application are: efficiency improvement: compared with ordinary heat pipe, the heat dissipation starting time is shortened by 3s, the heat transfer rate is improved by 25%, which meets the demand of fast charging scene; High precision: the fitting neural network prediction error is less than or equal to 0.5%, which can accurately optimize the geometric parameters and avoid the cost waste of traditional trial and error method.

The application provides a driver hand thermal comfort evaluation method and system and a vehicle. The method comprises the following steps: a computational fluid dynamics three-dimensional simulation model is built; the three-dimensional simulation model is meshed, and the steering wheel assembly geometric model and the region where the hand is located are subjected to mesh encryption processing to obtain a meshed simulation model; in the meshed simulation model, an evaluation region for evaluating the hand thermal comfort is divided, and boundary conditions are set for the meshed simulation model; based on the boundary conditions, a three-dimensional transient turbulence model is adopted, and an energy equation is solved to obtain thermal environment parameters of the evaluation region, wherein the thermal environment parameters at least include temperature parameters and wind speed parameters; the obtained thermal environment parameters are compared with preset corresponding threshold values, and an evaluation result of the driver hand thermal comfort is output based on the comparison result, so that the evaluation result is more in line with actual driving conditions.

This invention discloses a three-dimensional polyprismatic mesh generation method and system. The method includes: acquiring geological data of the target reservoir and processing the data; projecting the geological body onto a two-dimensional plane and performing point placement operations according to the geological body type to obtain an initial scatter set; constructing a density field and using a leading-edge algorithm for point placement, generating a two-dimensional reference mesh layer through triangulation and its dual transformation; constructing a spring analogy model, aiming to minimize the global energy equation and combining it with mesh displacement boundary constraints to solve for the displacement of each mesh node to obtain a deformed two-dimensional mesh; performing layered stretching and projection according to the geological body projection position to generate a three-dimensional polyprismatic matrix mesh, and embedding fracture and fault meshes into it to obtain a complete three-dimensional geological model of the target reservoir. This method maintains the layered structure of the mesh, ensures the simplicity of flow calculations, and can simulate complex fault-fracture-boundary system meshes with inclination.

The invention belongs to the technical field of surrounding rock stability evaluation in tunnel engineering, and particularly discloses a tunnel poor alteration zone instability criterion method and a stability control method, and the method comprises the following steps: obtaining core parameters of a poor alteration zone and surrounding rock mass; based on the core parameters, uniformly distributed acting force of alteration zones and water acting on a tunnel vault rock plate after tunnel excavation is calculated; respectively calculating the displacement of the alteration zone in the natural state and the tunnel excavation unloading state based on the uniformly distributed acting force, and calculating the gravitational potential energy difference, the elastic potential energy difference, the permeation kinetic energy difference and the friction energy consumption between the two states based on the displacement and the core parameters; based on the gravitational potential energy difference, the elastic potential energy difference, the permeation kinetic energy difference and the friction energy consumption, alteration kinetic energy is calculated through an energy equation, and in combination with geological attribute parameters, it is judged that the poor alteration zone is in a stable state or a large-deformation instability state or a mud flow inrush instability state. According to the method, the accuracy of unstability judgment of the tunnel bad alteration zone can be effectively improved.

The invention provides a compressed air energy storage container pressure buildup stage model building and simulation method and system, and the method comprises the steps: dividing an energy storage process into an initial pressure buildup stage, an initial pressure buildup stage and an air compressor pressure supplement stage after multiple cycles; a steam-water mixing container and a high-pressure gas storage container are divided into four parts, namely a gas control body, a liquid control body, a device wall control body in contact with gas and a device wall control body in contact with liquid, and six assumptions are combined; mathematical models (including a gas state equation, a water body control body energy equation, a device wall control body energy equation and the like) of all stages are established on the basis of the law of conservation of energy and the law of conservation of mass respectively, curves of pressure and liquid level changing along with time are obtained through simulation calculation, and the curves are compared with experimental results for verification. According to the method, the multi-physical field coupling effect is comprehensively considered, the dynamic characteristics of the gas storage container can be accurately reflected, and a reliable theoretical basis is provided for system design and engineering application.

The application discloses a transient multiphase flow numerical simulation method of a high-temperature structure water-entry boiling mechanism, which designs a motion-flow-heat transfer-phase change synchronous calculation method for the high-temperature structure, realizes real-time solving of a flow field and a cavity shape in a high-temperature phase change process through joint solving of a motion equation, a multiphase flow equation and an energy equation, designs a boiling state determination method based on wall surface superheat, simultaneously calculates the flow, the high-temperature phase change, the heat transfer and the rigid body motion by using the same set of numerical methods, makes the cavity shape, the drag coefficient and the heat flux consistent in the physical mechanism and the numerical results, and can accurately reflect the influence of the steam film on the cavity shape, the water-entry motion and the drag characteristics by analyzing the quantitative correlation between the steam film and the stress and motion response of the structure, thereby improving the reliability of water-entry cavity evolution, water-entry trajectory and drag reduction prediction results, and providing a theoretical basis for the research on the material and motion control of the high-temperature structure.

The coupling modeling method of plunger pump multi-mass dynamics and oil film lubrication behavior comprises: 1) using a prediction check algorithm to predict and check the initial dynamics behavior of the mass to solve the vibration response of the mass; 2) according to the vibration response of the mass, the oil film thickness field of the friction pair is solved, and the coupling relationship energy equation of the mass is established; 3) according to the obtained oil film thickness field, combined with the oil film boundary condition, the oil film pressure field is solved through the oil film fluid motion equation, and the oil film lubrication characteristics are output; 4) according to the obtained oil film pressure field, the oil film supporting force system and torque are solved, and then the force and torque acting on the mass are obtained; 5) combined with the obtained force and torque acting on the mass and the coupling relationship energy equation, the mass dynamics model is established, which is used to solve the vibration response and oil film lubrication characteristics at the next time. The modeling method can solve the dynamics of the plunger pump multi-mass and the key friction pair oil film lubrication characteristics at the same time.

The invention discloses a fairing radiation heat flow calculation method considering radiation direction characteristics. The fairing radiation heat flow calculation method comprises the steps that modeling is carried out to determine the temperature of an aero-engine fairing; establishing a radiation heat flow calculation model, and calculating a radiation transfer factor by using a Monte Carlo method considering directivity; light rays emitted by all the grids are subjected to light ray tracing through a light ray method; in the process of fitting the direction emissivity, constructing a direction emissivity experiment, taking a zenith angle of a light emission direction as an emission angle, and measuring the emissivity corresponding to different emission angles on the material surface of the fairing by using a light method so as to construct data points; performing directional emissivity curve fitting on the data points, and determining the directional emissivity corresponding to each emission angle by using an emissivity curve; determining a radiation transfer factor in combination with the directional emissivity; and substituting the obtained radiation transfer factor into a radiation energy equation, and solving the radiation heat flux density of the grid infinitesimal elements on and in the wall surface of the fairing so as to obtain the radiation heat flux distribution of the fairing.

The application discloses a numerical calculation method for a high-temperature and high-pressure flash evaporation process, and comprises the following steps: a Laval nozzle fluid domain model is established, the model is divided into a structured grid to obtain a grid model, the grid model is imported into simulation software, an energy equation is enabled, high-temperature and high-pressure inlet boundary conditions, pressure outlet boundary conditions and wall surface conditions are defined, the dependence of the physical property parameters of water and steam on temperature is written into the simulation software as a user-defined function, solver parameters are set, and a steady-state flow field result is obtained, the steady-state flow field result is taken as an initial condition, a ZGB model considering thermodynamic non-equilibrium effects is selected and activated, transient solution parameters are set, and a transient simulation result is obtained, and the transient simulation result is imported into CFD post-processing software to extract and obtain the physical quantity change curve of a key position. The method can predict a flash evaporation starting position and steam volume distribution, and realizes qualitative and quantitative prediction of flash evaporation under complex working conditions.

The application discloses a two-step deformation method suitable for a three-dimensional model of a colored lamp, and belongs to the technical field of digitalization of colored lamps. The method comprises the following steps: acquiring a three-dimensional model of a colored lamp to be processed; dividing a rough deformation region based on an octree space division algorithm, generating a control lattice fitted with the region boundary, and mapping the lattice node displacement into coordinate adjustment of all vertices in the region to obtain a rough deformation model; performing octree space division on the rough deformation model again to obtain a fine deformation region; acquiring normal vector gradients of adjacent facets in the fine deformation region, and optimizing Laplace weight values based on the gradient amplitudes; constructing a Laplace deformation energy equation and solving the equation to output a final deformation model, and realizing modeling adjustment of the colored lamp to be processed. The application realizes efficient and accurate deformation effect in a real-time interactive scene, and solves the problems of low efficiency and insufficient detail preservation of existing technologies in deformation of a large-scale grid model.

The invention discloses an energy storage battery temperature field sensing method using a multi-physics field coupling and order reduction technology, and relates to the technical field of energy storage and intelligent monitoring. The method comprises the specific steps of constructing a three-dimensional geometric model, establishing a multi-physics field coupling model, obtaining full-order temperature field simulation data, training a temperature field reduced-order model and sensing a real-time temperature field. According to the method, a multi-physical field coupling model is constructed, an electrochemical model and a flowing heat dissipation model are deeply fused, and energy conservation and positive and negative charge conservation equations are introduced, so that refined simulation of the temperature field of the energy storage battery and combination of a discharge depth formula and an electrochemical volume current transmissibility formula are realized; electrochemical reaction characteristics in the battery charging and discharging process can be accurately quantified, a pipeline flow change formula and a fluid energy equation can dynamically simulate the heat dissipation effect of a cooling system, and meanwhile, the calculation complexity is reduced based on the reduced-order model training technology of the convolutional neural network.

The invention belongs to the technical field of oil product storage tank evaporation loss, and particularly relates to a VOCs distribution calculation method in the oil product receiving and dispatching process of an inner floating roof storage tank. According to the technical scheme, the method comprises the following steps that 1, structural parameters of the inner floating roof storage tank and technological parameters of oil product receiving and dispatching are determined; 2, physical property parameters of oil products, oil steam and air are determined, and external environment parameters during oil product receiving and sending are mastered; 3, according to the coupling principle of an oil vapor concentration field, a temperature field and a flow field in the oil product receiving and dispatching process of the inner floating roof storage tank, a mass transfer relational expression of oil product receiving and dispatching and oil vapor is established, a momentum equation, an energy equation and a multiphase fluid integral number equation in different external environments are solved, and VOCs distribution of the inner floating roof storage tank in the receiving and dispatching operation process is calculated. According to the method, the interaction of an oil vapor concentration field, a flow field and a temperature field is comprehensively considered, the VOCs distribution of the inner floating roof storage tank in the receiving and dispatching operation process under different environment conditions is calculated, and the accuracy and reliability of VOCs loss accounting are improved.

The application relates to the technical field of meteorological information, and discloses a data mining method and system based on meteorological services. The method comprises the following steps: a dynamic space-time graph fusing a space distance and a terrain feature is constructed; a space-time correlation feature of a meteorological element is extracted by using a graph neural network; a Navier-Stokes equation and a thermodynamic energy equation are embedded into a neural network loss function as physical constraints; and a prediction result is output by jointly optimizing a data-driven loss and a physical constraint loss. The system comprises data acquisition and preprocessing, dynamic graph construction, graph feature extraction, physical constraint embedding, joint training optimization and forecast output modules. Through the dual driving mechanism of "physics + data", the physical consistency, robustness of the prediction and the feature extraction efficiency under complex terrain are improved.

The invention provides a compressed air energy storage container single power generation stage model establishment method and system and a compressed air energy storage container single power generation stage model simulation method and system. A steam-water mixing container and a high-pressure gas storage container are divided into four parts, namely a gas control body, a liquid control body, a device wall control body in contact with gas and a device wall control body in contact with liquid, and six assumptions are combined; mathematical models (including a gas state equation, a water body control body energy equation, a device wall control body energy equation and the like) of all stages are established on the basis of the law of conservation of energy and the law of conservation of mass respectively, curves of pressure and liquid level changing along with time are obtained through simulation calculation, and the curves are compared with experimental results for verification. The method comprehensively considers the multi-physical field coupling effect, can accurately reflect the dynamic characteristics of the gas storage container in the discharge process, and provides a reliable theoretical basis for system optimization design and stable operation.

The application belongs to the technical field of three-dimensional geographic entity modeling, and proposes a building structured model topology optimization method and system based on a dynamic chain graph. Through the establishment of a geometry-topology joint optimization framework, high-precision automatic modeling in an error environment is realized, specifically including: according to input geographic scene mesh model data, building mesh data and plane segmentation results are obtained by segmentation; a dynamic chain graph structure is constructed, and a dynamic chain graph data structure is defined, wherein a node set contains double attributes of spatial coordinates and semantic weights, a chain edge set records a topological connection relationship, and a motion rule set defines four basic motion processes; a mixed energy equation is modeled, and a ternary energy equation containing a geometry fidelity term, a semantic constraint term and a topological regular term is constructed; a hierarchical optimization energy function is solved, and a three-level temperature decay optimization strategy is designed; and a building structured model is output based on the optimization result. The method can cope with the task of building structured model reconstruction in a mixed scene.

The invention belongs to the technical field of alloy smelting, and particularly relates to an alternating-current submerged arc furnace multi-phase flow tracking visual dynamic calculation method. According to the technical scheme, the method comprises the following steps that 1, structural parameters and operation parameters of the alternating-current submerged arc furnace are determined; 2, physical property parameters of furnace gas, mineral aggregate, slag and ferrochrome are determined; 3, according to the coupling principle of an electromagnetic field, a temperature field, a flow field and a reduction reaction field in the ferrochrome smelting process, transient heat and mass transfer mathematical expressions between a furnace charge phase and a furnace gas phase as well as between a furnace slag phase and a ferrochrome alloy phase are established, and a Maxwell equation set, a momentum equation, an energy equation, a volume fraction equation and a reactant mass fraction equation are solved; and calculating furnace gas-slag-ferrochrome multiphase flow distribution in the hearth in the smelting process. According to the method, multiphase flow, multiple physical fields and carbon thermal reduction reaction are considered, the limitation that only a single phase state or a physical field is focused in traditional simulation is broken through, and the multiphase state distribution rule in the furnace can be visually presented.

This invention discloses a method and system for simulating and alleviating stress in pigs based on multi-dimensional environmental parameters. The method includes: constructing a digital twin environment of the pigsty, simulating and updating the effective ambient temperature, conductive ground temperature, and ammonia concentration in real time; constructing multiple pig agents and calculating core body temperature changes based on the physiological energy equation; using an improved Boids swarm algorithm to drive emergent group behavior of the pig agents, where the cohesion weight is dynamically adjusted according to environmental parameters: nonlinear enhancement at low temperatures to simulate swarming, decaying to a negative value at high temperatures to simulate dispersion, and applying negative feedback decay and superimposing random noise to simulate social disturbance when ammonia levels exceed the standard; updating environmental parameters in response to user environmental control operations, and repeating the above steps to form a closed loop until the stress is relieved. This invention solves the problem of existing simulation systems lacking closed-loop dynamic simulation and can be used for livestock teaching and research training.

The application relates to a high-speed oil-gas lubricated hydrodynamic step thrust bearing static performance design method, which comprises the following steps: establishing an oil-gas mixture viscosity and density expression; based on the oil-gas mixture viscosity and density expression, establishing a step thrust bearing Reynolds equation and an energy equation in a polar coordinate; solving the Reynolds equation and the energy equation to calculate the static performance of the thrust bearing; carrying out static performance parameter calculation of the oil-gas lubricated hydrodynamic thrust bearing under different oil-gas mixture gas contents and working rotating speeds to obtain the influence law of oil-gas lubrication on the static performance of the thrust bearing; and taking the friction torque, the bearing capacity and the temperature rise of the hydrodynamic thrust bearing as design targets, determining the structure parameters of the bearing through sensitivity analysis of the structure parameters on the static performance. The high-speed oil-gas lubricated hydrodynamic step thrust bearing static performance design method can greatly improve the static design precision of the bearing and shorten the design cycle.

The application provides a shield segment disease evaluation method based on a state space equation and a physical information neural network, and comprises the following steps: S1, on the basis of shield segment structure state space analysis theory, introducing disease influencing factors, establishing a shield segment structure state space equation containing diseases, and using the equation to establish a sample database of segment responses containing diseases; S2, based on the control equation, node equation and boundary constraint equation in the state space equation, constructing a shield segment disease identification physical information neural network and training the same; S3, after the training of the physical information neural network is completed, identifying the disease segment and its degree according to limited segment displacement monitoring information. The method has the dual advantages of analytical solution and machine learning algorithm, and since the core is to solve the state space equation derived based on the energy equation, the physical variables have strong interpretability, and the output result also conforms to the physical law.

The application discloses a one-dimensional calculation method for solidification of lead bismuth in a pipe flow process, and comprises the following steps: judging whether the fluid reaches a solidification condition by assuming the existence of a solidification layer and calculating a heat difference in and out of the solidification layer; on the basis of reaching the solidification condition, calculating a solidification mass growth in a unit time step through an energy equation to obtain a solidification parameter of each control body and then calculating a growth amount of the solidification layer; and updating flow channel parameters and adopting an enthalpy-porous medium model to calculate basic parameters of a remaining fluid domain. The method can more accurately study the influence of the solidification problem on system-level parameters while saving calculation resources, thereby providing a future development direction for engineering design and performance optimization.