96 results about "Multiphysics" patented technology

A method for predicting in-situ leaching effects of sandstone-type uranium mining deposits after blasting is provided, which comprises: based on a finite element analysis platform, establishing an HJC rock-blasting constitutive model, and carrying out a blasting numerical simulation; calibrating a cloud map of blasting crack damage by using a Kriging interpolation algorithm; establishing a COMSOL multiphysics model; establishing a coupling interface between the COMSOL multiphysics model and PHREEQC based on MATLAB, and optimizing a cycle duration and a time step; performing a geochemical reaction calculation and saving results, running COMSOL files, and inputting the results of geochemical reaction calculation into PHREEQC to obtain a dynamic cyclic iterative simulation; dynamically correcting migration coefficients of uranyl complexes by integrating an LSTM neural network, and stopping the cycle to output multi-scale dynamic simulation results of migration of uranium.

The invention discloses a grounding grid electric heating power multi-field coupling modeling method and system considering soil nonlinear breakdown, and belongs to the technical field of power system grounding grids. The method comprises the following steps: establishing a three-dimensional geometric model containing a soil domain and a grounding grid conductor; defining non-linear conductivity characteristics of the soil; setting multi-physical field parameters and corresponding boundary conditions of the three-dimensional geometric model; and establishing a multi-physical field coupling control equation set including an electric field equation, a heat conduction equation and a thermal stress equation, and solving by adopting a finite element method to obtain three-dimensional space distribution data of the grounding grid under lightning current impact. According to the invention, on the basis of fully considering the nonlinear breakdown characteristic of the soil, the accurate simulation of the electric heating power multi-physical field behavior of the grounding grid under the impact current effect is realized, and the accuracy of impact impedance, potential distribution and temperature rise prediction is obviously improved.

The invention relates to the technical field of power system equipment state monitoring and fault diagnosis, in particular to a GIS basin-type insulator operation state evaluation method and system, and the system comprises an asset information and baseline modeling module which is used for building a high-fidelity multi-physics field finite element reference model and generating a defect state-external representation mapping data set; the physical information driven agent model generation module is used for constructing a neural network agent model fusing physical law constraints; the real-time data acquisition and feature extraction module is used for acquiring and processing online monitoring data such as UHF, gas, temperature and vibration; the state inversion and digital twinning calibration module is used for inverting internal defect parameters by adopting a Bayesian inference and MCMC method so as to realize real-time calibration of the model; and the evaluation diagnosis and life prediction module carries out fault mode identification and residual life prediction based on the calibration model.

The invention relates to the technical field of coal bed gas development, and particularly discloses a numerical simulation method for multi-field coupling and microwave enhanced drainage and mining of a deep coal bed, which realizes accurate simulation of the whole process of drainage and mining of deep coal bed gas through six key steps: firstly, obtaining a coal bed parameter system; establishing a temperature coupling adsorption and desorption model, and quantifying the influence of the high ground temperature environment on the gas occurrence by correcting a Langmuir equation; constructing a dual-medium heat-gas-liquid-solid full-coupling control equation set which covers coal deformation, gas-water two-phase seepage, heat transfer and electromagnetic field equations; a microwave heat effect model is defined, and electromagnetic energy-heat energy conversion is calculated through a dielectric constant mixing model; deducing a porosity / permeability dynamic evolution equation, and coupling effective stress, matrix shrinkage and a thermal expansion effect; and finally, a COMSOL Multiphysics platform is adopted to realize multi-field coupling solution, and a productivity index is calculated through well circumference integration. According to the method, the inherent limitation of a static parameter model is overcome, and the precision and efficiency of numerical simulation are remarkably improved.

The invention discloses a high-precision multi-physics field reconstruction method based on a nested neural network architecture. The method comprises the following steps: S1, acquiring open-source multi-physics field data; s2, a multi-scale Fourier operator-driven U-Net physical field reconstruction model is constructed, the physical field reconstruction model comprises an embedding module, a coding module and a decoding module, the coding module comprises at least one coding layer, each coding layer is formed by sequentially connecting a multi-scale Fourier neural operator layer and a down-sampling layer, and the multi-scale Fourier neural operator layer and the down-sampling layer are embedded into the embedding module; the decoding module comprises at least one decoding layer, and each decoding layer is formed by sequentially connecting a multi-scale Fourier neural operator layer and an up-sampling layer; s3, training the physical field reconstruction model based on a training set; and S4, performing quantitative analysis and qualitative analysis on the reconstructed physical field by using the test set.

The invention relates to a multi-physical-field deformation analysis method and system based on a COMSOL platform and a particle finite element. The method comprises the steps that a physical deformation analysis model is built, and an initial finite element grid is generated; solving the control equation by using a solver of the COMSOL platform to obtain a multi-physical-field state variable; carrying out particle space position updating on finite element grid nodes according to the multi-physical field state variables, and carrying out Delou inner triangulation and boundary identification based on an updated particle point set to obtain a free boundary; reconstructing the grid based on the free boundary, and mapping the state variable of the previous grid to the new finite element grid; according to the new finite element mesh, updating boundary conditions of the physical deformation analysis model, and iteratively updating the physical deformation analysis model in a COMSOL platform; and outputting a deformation analysis result based on the final physical deformation analysis model. According to the invention, stable and high-precision numerical analysis of large-deformation and multi-field coupling processes in energy geotechnical engineering is realized.

The invention relates to the technical field of geological exploration, and discloses an exploration method and device for intelligent fusion of multi-geophysical field data. The method comprises the steps of signal source excitation, data acquisition and synchronization, data recording and transmission, preprocessing, feature value extraction, AI model fusion processing, joint inversion, imaging and interpretation and the like. According to the invention, multi-physics field data is synchronously acquired, and a multi-source heterogeneous data intelligent preprocessing and feature extraction method and a multi-physics field data fusion and joint inversion method based on artificial intelligence are provided for data such as earthquake, electromagnetism and gravity in a unified signal analysis framework. Through the steps, the problems of data isomerism, space-time inconsistency, inversion multiplicity and the like in geophysical exploration are solved.

The invention discloses a multi-physics field coupling numerical method for simulating wave-ocean current-earthquake-seabed interaction, and relates to the technical field of ocean engineering numerical simulation, and the method comprises the following steps: model construction, load application, coupling solution, and result analysis and application. According to the method, revolutionary simulation of collaborative response of a seabed and a structure in a complex marine environment and multi-physics field high-precision bidirectional coupling of random waves, steady-state ocean currents and seismic excitation are realized by constructing a total-factor coupled high-precision numerical model, the problems of incomplete coupling dimensions and excessive model simplification of a traditional method are solved, and the method has the advantages of being high in practicability and high in reliability. According to the wave-induced seabed liquefaction simulation method, the simulation result and the actual working condition coincidence degree are remarkably improved, the frequency domain transfer function method is introduced to analyze the seabed pore pressure response, the cognitive depth and the prediction precision of the wave-induced seabed liquefaction mechanism are remarkably improved, and in addition, through efficient algorithms such as GPU parallel calculation, self-adaptive grids and frequency domain-time domain mixed solution, the wave-induced seabed liquefaction simulation method has the advantages that the wave-induced seabed liquefaction simulation precision is improved. And the calculation efficiency is greatly improved while the precision is ensured.

The invention relates to the technical field of fluid mechanical fault diagnosis, and discloses an emulsion pump fault intelligent diagnosis method and system based on multi-dimensional entropy feature fusion, and the method comprises the steps: constructing a multi-dimensional physical field state monitoring space, and synchronously collecting vibration acceleration, outlet pressure and flow time sequence signals; the method comprises the following steps: performing adaptive variational mode decomposition and effective sensitive component screening reconstruction on a vibration signal, calculating a normalized vibration quantile permutation entropy through phase-space reconstruction and quantile mapping, extracting a pressure fluctuation entropy and a flow pulsation variance, fusing the pressure fluctuation entropy and the flow pulsation variance into a multidimensional fault feature vector, inputting the multidimensional fault feature vector into a multi-classification support vector machine, and outputting an operation state label; executing hierarchical closed-loop control; according to the method, through quantile mapping and multi-physics field fusion, the problems of entropy value feature distortion and liquid-machine coupling weak fault feature masking caused by non-Gaussian impact noise are effectively solved, and the fault diagnosis robustness and accuracy of the emulsion pump under complex working conditions are improved.

The invention relates to the field of construction quality management, and provides a tunnel lining construction quality management and control method and system.The method comprises the steps that first information and second information are obtained, and the first information comprises geological survey parameters of a tunnel target section, a lining design BIM model, concrete material parameters and construction equipment parameters; the second information comprises field condition information after the tunnel target section is demoulded; discrete element-finite element coupling simulation and multi-parameter space traversal analysis processing are carried out according to the first information, and a process parameter sensitivity map and a defect risk early warning database of lining construction are obtained; according to the process parameter sensitivity map, the defect risk early warning database and the second information, performing fusion to obtain a multi-physics field fusion feature tensor; performing traceability processing according to the multi-physical field fusion feature tensor to obtain a defect cause diagnosis report; and the construction parameters of the next target section are adjusted according to the defect cause diagnosis report. According to the invention, active early warning of the tunnel lining construction quality is realized.

The invention discloses a shape memory alloy multi-physics field analysis method based on an expansion depth operator network, belongs to the technical field of material science and engineering calculation, solves the problem of phase field dynamics analysis of multi-physics field coupling under various initial conditions, and comprises the following steps: S1, constructing the expansion depth operator network, the expansion depth operator network comprises a branch network and a backbone network; and S2, determining the total error of the neural network according to the data information error and the physical information error, optimizing the parameters of the neural network by adopting an AdamW optimizer and a Minibatch technology, training the neural network, and completing the shape memory alloy multi-physical field analysis based on the extended depth operator network. According to the method, the expansion depth operator network is used for replacing a finite element method, the solving process of the multi-physical field phase field equation is accelerated, field quantity distribution continuous in time and space is obtained, the solving process is accelerated, and continuous field distribution is obtained.

The invention discloses a magnetic-mechanical-electric coupling amplitude-change pole simulation method based on finite element analysis, and relates to the technical field of magnetoelectric antenna simulation. The magnetic-mechanical-electric coupling amplitude-change pole simulation method based on finite element analysis comprises the steps that parametric modeling is carried out, and a multi-physical field environment is imported; defining material attributes; solid mechanics, an electrostatic field and a magnetic field are coupled, and piezoelectric and piezomagnetic effects are started; dividing grids and configuring a solver; executing simulation calculation; and evaluating displacement and stress results and performing iterative optimization. According to the magnetic-mechanical-electric coupling amplitude-change pole simulation method based on finite element analysis, through multi-physics field coupling simulation, electric-mechanical-magnetic energy conversion is accurately simulated, the problem of traditional simulation distortion is solved, a high-performance amplitude-change pole capable of amplifying the amplitude of a permanent magnet sheet to 9 micrometers is guided to be designed, and the radiation capacity and reliability are remarkably improved.

The invention discloses a compaction degree measuring and calculating method based on multi-physics field joint inversion. The method comprises the following steps: acquiring multi-physics field observation data and rock-soil compaction characteristic parameters of a to-be-detected area; establishing a mapping relationship between the moisture content and the observation data and between the dry density and the observation data by using a pre-established forward model; executing joint inversion iteration, and updating the state variable based on the observation residual error; in the iteration process, a physical feasible region is constructed by utilizing rock-soil compaction characteristics, and the physical feasible region is embedded into the inversion process as a constraint condition to constrain the value ranges of the dry density and the water content; and in response to the condition that the joint inversion iteration process meets a preset convergence condition, outputting the dry density after inversion convergence and calculating the compaction degree. According to the method, the problems that a traditional inversion solution violates the soil engineering compaction rule and cannot adapt to compaction under variable work conditions are solved, and the physical authenticity and precision of compaction quality detection are improved.

The invention relates to the technical field of converter transformer state monitoring, and discloses a converter transformer internal defect detection method based on multi-physics field coupling monitoring, and the method comprises the following steps: collecting and confirming electric field, magnetic field, temperature field, stress field, sound field and flow field data of a converter transformer without internal defects under a normal working condition; taking the data as multi-physics field reference data; collecting real-time multi-physical field data of the converter transformer to be detected; performing feature extraction on the reference data and the real-time data to obtain reference features and real-time features; calculating a feature difference vector between the real-time feature and the reference feature; and comparing the feature difference vector with a preset corresponding relation library of multi-physical field signal features and internal defect types, and determining the internal defect types. Through coupling analysis and difference comparison of multi-physical field data, cross validation of multi-source information is realized, and the accuracy and reliability of defect diagnosis are improved.

The invention discloses a multi-physical-field simulation calculation method and system for a high-voltage submarine cable anchoring device, and belongs to the technical field of ocean energy. The method comprises the following steps: constructing a finite element model of the submarine cable anchoring device based on a geometric model of the high-voltage submarine cable anchoring device; the finite element model of the submarine cable anchoring device carries out simulation area boundary condition and multi-physical field setting, after setting is completed, free tetrahedral mesh generation is carried out on a high-voltage submarine cable body and the anchoring device, the corresponding mesh size is selected according to the size of each part obtained after mesh generation, and the high-voltage submarine cable anchoring device is constructed. Obtaining a finite element simulation model of the submarine cable anchoring device; and in the finite element simulation model of the submarine cable anchoring device, performing multi-physics field coupling calculation to form a simulation calculation result. The method is based on finite element simulation software, three-dimensional modeling is carried out according to the actual arrangement condition of the high-voltage submarine cable anchoring device, and accurate description of physical fields around the anchoring device during operation of the high-voltage submarine cable is achieved.

This invention discloses a modeling method for layered soft soil subgrades reinforced with pile foundations under simulated seismic loading, belonging to the field of seismic numerical simulation in geotechnical engineering. This method constructs a multi-field coupled numerical model based on a finite element platform, defines the contact mechanisms at the pile-soil and reinforced-subgrade interfaces, and completes the construction of in-situ stress equilibrium and initial pore water pressure fields. Static results are output through fill-consolidation coupling analysis. Distributed viscoelastic artificial boundaries are automatically constructed using Python scripts, and seismic waves are converted into equivalent nodal loads using wave theory. Multi-physics field connections between static and dynamic analysis boundaries are achieved, and core response parameters such as embankment settlement and pile-soil stress are output through implicit dynamic analysis. This invention considers the seismic wave propagation effect in layered soils, reduces spurious oscillations caused by the transformation of static and dynamic boundaries, and improves simulation accuracy and efficiency. It is suitable for seismic design and analysis of transportation infrastructure in soft soil areas.

This application relates to the field of dynamic modeling technology, specifically to a multiphysics coupling modeling method for a dual-stator synchronous generator. The method includes: simulating and modeling the multiphysics of the dual-stator synchronous generator and discretizing the mesh; analyzing the magnetic pull force, simulated temperature, and simulated stress per unit area for each discretized element; determining the distribution differences of magnetic pull force, simulated temperature, and simulated stress among the elements to obtain the spatial distribution deviation and multiphysics difference of each element, thereby obtaining the distribution anomaly degree of each element; calculating the synergistic influence degree of each element to obtain the anomaly significance of each element; constructing four-dimensional feature points for each element using the anomaly significance, magnetic pull force per unit area, simulated temperature, and simulated stress; and obtaining characteristic outlier elements in the finite element physical model based on these features, thereby achieving structural optimization of the dual-stator synchronous generator. This application can improve modeling accuracy and optimize the structure of the dual-stator synchronous generator.

The invention provides a fluid-structure interaction multi-physics field prediction method for an offshore wind plant. According to the method, any Lagrangian-Euler mapping is introduced, a computational domain containing a structure and fluid is expressed as a deformation computational grid dynamically evolved along with structural vibration or free interface change, time sequence prediction is conducted on a grid displacement field through a first generator, and then the computational grid is updated; efficient prediction of fluid field or multi-physical field state variables is achieved through a second generator; moreover, a discrimination model is introduced in a prediction model training stage, and combined constraint is carried out on statistical consistency and physical rationality of a prediction result in combination with a physical constraint loss function. According to the decoupling prediction method, the moving boundary calculation precision is improved by adding physical constraints, so that the prediction precision is improved, powerful technical support can be provided for key links of offshore wind power engineering, and the decoupling prediction method can be applied to optimization of structural design, fine evaluation of the operation state and prospective prediction and early warning of extreme environment working conditions.

The invention belongs to the technical field of engineering simulation data processing, and particularly discloses a multi-physics field iterative coupling prediction method and system, a terminal and a medium. Comprising the steps of performing state initialization on a to-be-predicted object based on prediction batch input, and constructing structured feature representation for multi-physics field prediction; constructing a temperature prediction model and a pressure prediction model which are mutually independent; performing multiple rounds of prediction updating on the temperature physical field by adopting the temperature prediction model, and dynamically adjusting related state parameters according to the prediction state of the temperature physical field in the prediction updating process to obtain a stable prediction state of the temperature physical field; and on the basis, performing prediction processing on the pressure physical field by adopting a pressure prediction model to obtain a pressure physical field prediction result corresponding to the temperature physical field prediction state, and outputting a multi-physical field steady state prediction result. By introducing a multi-physics field iterative coupling prediction mechanism, the physical consistency and stability of a multi-physics field prediction result are improved.

The invention discloses a multi-physics field TCAD proxy modeling method. The method comprises the following steps: step 1, obtaining and standardizing multi-physics field TCAD data; 2, constructing a continuous conditional diffusion model, and constructing a conditional context attention injection mechanism; and step 3, carrying out junction region Sobolev edge regularization and loss design. According to the method, the first-order derivative of the residual error is constrained, and the shape fidelity of high-gradient region transition in multi-physics field generation is particularly optimized.

This invention proposes a method and system for simulating the vibrational displacement distribution of magnetic particles based on multiphysics coupling, comprising: Step S1: constructing a three-dimensional geometric model containing biological tissue and magnetic particles; Step S2: setting material parameters for each region; Step S3: configuring multiphysics; Step S4: performing mesh generation; Step S5: setting solver parameters; Step S6: using the finite element method to solve the force of the magnetic field on the magnetic particles in Maxwell's equations and describing the magnetic field distribution in the magnetic particle region; Step S7: using the magnetic force obtained in Step S6 as a load, inputting it into the solid mechanics field module, and solving the vibrational displacement distribution in the magnetic particle region based on the wave equation. Furthermore, the system of this invention includes: a three-dimensional geometric model group, a material library, a mesh module, and a multiphysics module. This invention accurately simulates the vibrational displacement distribution of magnetic particles within biological tissue under the action of an alternating magnetic field, revealing the coupling law between magnetic fields and solid mechanics.

This invention relates to the field of digital twin technology, specifically a method for predicting the remaining service life of directly buried compensators based on digital twins. The method includes collecting pipeline geometric data, compensator structural data, and soil physical parameters of a directly buried heating pipeline segment; constructing a three-dimensional mesh model and calculating the soil spring stiffness matrix based on the soil physical parameters to build a baseline finite element twin model; acquiring cyclic hardening curves and temperature-related yield strength data to generate a physical field coupling model; acquiring operating temperature time series and internal pressure fluctuation sequences to form a thermo-mechanical coupling simulation model; driving the thermo-mechanical coupling simulation model to perform nonlinear iterative calculations, outputting equivalent stress response time history and plastic strain range data; and calculating and outputting the predicted remaining service life value by modifying the fatigue damage assessment model. This invention constructs a strongly coupled analysis system of structure-thermal-soil multi-physics fields, improving the comprehensive reliability of remaining service life prediction results under complex coupling environments.

This invention discloses an efficient transient analysis method for electromagnetic-thermal-fluid multiphysics fields on integrated chips. Focusing on electromagnetic, thermal, and fluid fields as core research objects, and centering on typical scenarios of full electromagnetic-thermal-fluid coupling, it systematically integrates the governing equations, boundary conditions, and constitutive relations of each physical field to construct a unified set of coupled partial differential equations. Under the premise of verifying and satisfying the stability conditions of all physical field discretization schemes, simultaneous numerical solutions for the multiphysics fields are achieved through FDTD. This invention, through multi-faceted synergistic optimization, achieves comprehensive adaptation to complex structures, providing reliable technical support for solving various complex engineering multiphysics coupling problems.

The invention discloses an asynchronous flow field data alignment and high-resolution reconstruction method based on multi-physical field feature consistency constraint, relates to the field of fluid mechanics, and can automatically correct phase errors of low-precision data and realize high-quality flow field prediction and reconstruction. The problem that an existing data-driven flow field reconstruction method is difficult to process asynchronous (with phase deviation) multi-precision CFD data is solved, and a high-confidence training sample pair is automatically constructed by introducing physical consistency constraints including speed, pressure and vorticity characteristics, so that the accuracy of flow field time sequence prediction and the physical authenticity of high-resolution reconstruction are improved.

The invention discloses a structural thermal-mechanical coupling analysis method for a leakage state of a heat distribution pipeline of a shield tunnel, which comprises the following steps of: constructing a three-dimensional finite element model of a soil layer, a duct piece, a ballast bed, accumulated water and air of the thermal shield tunnel according to an actual size of a structure, and respectively setting mechanical and thermodynamic attributes and calculation parameters of each part of solid and fluid; pushing a multi-physical field control equation of flow guide-solid coupling heat transfer and heat-force coupling elastic-plastic mechanics, and applying temperature fields and stress fields to all parts of the solid and the fluid; the method comprises the following steps: setting two typical working condition depths of high-temperature water accumulation according to a planned position of a pipeline leakage point in a thermal tunnel, and applying boundary conditions and initial conditions of temperature and stress to each part of solid and fluid; and setting an increment step length and an analysis time length, carrying out transient solution, outputting temperature and stress spatio-temporal evolution values of concrete structures such as duct pieces and ballast beds, and analyzing the safety and stability of the structures in a pipeline thermal leakage state.

This invention provides a dynamic heating method and system for preventing frost heave in cold-region tunnels based on multi-physics coupling, relating to the field of frost heave prevention technology for cold-region tunnels. The method includes acquiring temperature gradients, moisture content distributions, and freezing front advance speeds at different depths within the tunnel; performing coupling analysis to identify critical frost heave risk zones; determining heating response sequences; identifying heat transfer path networks; calculating heat utilization efficiency coefficients; and generating dynamic heating source spatial configuration schemes. This invention, through multi-physics coupling analysis and a dynamic response mechanism, accurately locates heating positions and timing, improves energy utilization efficiency, and effectively prevents frost heave damage.

The invention discloses a method and a device for predicting the fatigue life of a low-temperature container. The method comprises the following steps: constructing a geometric model of a to-be-predicted low-temperature container; performing mesh generation on the geometric model, and performing finite element analysis and fluid mechanics calculation on the meshed model to obtain a multi-physical field simulation model of the low-temperature container; performing short-term real-time correction on model parameters of the simulation model based on the real-time data of the low-temperature container so as to eliminate static errors of the simulation model; in response to the fact that the static error of the simulation model exceeds a preset value, training a pre-constructed machine learning model based on the historical data of the low-temperature container to obtain the dynamic deviation of the simulation model; based on the dynamic deviation, correcting the simulation model after short-term and real-time correction to obtain a digital twinborn model of the low-temperature container; and predicting fatigue damage and residual life of the low-temperature container based on the digital twin model. According to the invention, the fatigue damage and residual life of the low-temperature container can be accurately predicted.

The invention discloses a semi-automatic test method for an energy storage prefabricated cabin, and belongs to the technical field of intelligent testing, and the method comprises the steps of test system construction, semi-automatic testing, multi-physics coupling test analysis and test report generation. According to the scheme, a semi-automatic test process is constructed, automatic acquisition and manual verification are combined, a load sequence and an acquisition instruction are preset in an automatic stage, three-dimensional temperature gradient distribution is generated, a noise spectrum and heat dissipation efficiency are weighted A, and fan rotating speed strategy adjustment, noise source positioning and abnormal data labeling are performed in a manual verification stage. A data foundation is laid for multi-physics field analysis; dynamically adjusting noise confidence and sample weight, generating an adversarial fusion threshold, adaptively adjusting the base classifier weight and the sample weight, establishing a multi-physics field coupling test model, outputting a heat dissipation performance level, a noise compliance judgment result, a coupling risk level and a heat dissipation-noise correlation index; and decision support is provided for optimization and safe operation of the prefabricated cabin.

This invention relates to a multiphysics-coupled optimization design method and equipment for a toroidal pebble bed reactor core used for nuclear thermal propulsion. The method utilizes a stochastic elastic filling algorithm for coated particles to obtain the initial geometric parameter combination of fuel elements; constructs a multiphysics-coupled finite element model, and optimizes the final fuel design parameters under multiple constraints; based on this, Monte Carlo neutronics calculations are used to perform criticality optimization on the core, resulting in a neutronics design scheme that meets criticality and safety requirements; based on this core geometry, computational fluid dynamics analysis is used to optimize coolant distribution by adjusting the porosity of the thermally porous plate, and under conditions that meet temperature and pressure drop limits, the core power and hydrogen mass flow rate range that can achieve preset specific impulse, thrust, and thrust-to-weight ratio performance indicators are determined. Compared with existing technologies, this invention achieves a complete and systematic optimization design for a novel spherical metal-ceramic fuel nuclear thermal propulsion pebble bed reactor core, from concept to meeting preset propulsion performance indicators.

The invention provides a sealing performance prediction method and platform for an explosion-proof operation column, and relates to the technical field of performance prediction, and the method comprises the steps: carrying out the geometric model construction of a sample explosion-proof operation column, and carrying out the grid division of the geometric model; performing multi-physics field simulation coupling on the grid division set; performing sealing performance analysis according to a multi-simulation optimization result set generated by performing simulation result analysis on the multi-simulation result set; performing verification test on the sealing performance analysis result set; and constructing a sealing performance prediction model, predicting the sealing performance of the target explosion-proof operation column according to the sealing performance prediction model, and dynamically optimizing the sealing performance. The technical problem that multiple factors cannot be effectively processed at the same time due to lack of comprehensive consideration of the multi-physics field coupling effect in the prior art can be solved, the technical target of comprehensive analysis of the multi-physics field coupling effect of the explosion-proof operation column is achieved, and the technical effect of improving the sealing performance of the operation column is achieved.