1005 results about "Control equation" patented technology

The invention discloses a data-mechanism dual-drive-based rock burst early warning method and system, and the method comprises the following steps: deploying a multi-modal sensor network to collect coal and rock stratum data, building a rock burst disaster precursor information sample database, providing a rock burst disaster multi-modal data precursor feature recognition algorithm, and carrying out the recognition of rock burst disaster multi-modal data precursor features. Mining the relevance between the multi-modal data and disaster-causing key risk indexes, and establishing a rock burst disaster multi-modal data prediction model; establishing a three-dimensional geological geometric model, fusing a multi-field coupling dynamics constitutive model and a catastrophe criterion, constructing a PINN physical information neural network prediction model of the rock burst disaster, and obtaining a time-space evolution rule of an energy field of a target area; providing a loss function coupling calculation method of a multi-modal data driving sample error and a physical driving control equation residual error, dynamic data and mechanism prediction result weight, comprehensively calculating a risk score, and accurately judging a top disaster danger level.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel multi-field coupling nonlinear deformation analysis method and system.The method comprises the steps that geological environment information of a tunnel area is collected, a multi-source physical field boundary condition model is built based on collected data, and a heat-seepage-stress-time four-field coupling control model is built based on the collected data; specifying a nonlinear response model for the geological medium to truly reflect the stress-strain behavior of the geotechnical material; solving a coupling equation set, and optimizing the four-field coupling control model; introducing measured data to correct the model; the system comprises a geological data acquisition module, a boundary condition modeling module, a coupling model establishment module, a numerical solution module, a measured data correction module and a visual output and control interface module. According to the method, high-fidelity prediction and evolution analysis of the deformation behavior of the tunnel under the complex geological condition are realized based on comprehensive acquisition of the geological environment, multi-field boundary modeling, control equation construction and numerical calculation.

The invention discloses a deep covering layer panel rock-fill dam rheological numerical calculation method considering the seepage effect. The method comprises the steps that firstly, contact deformation between a panel and a dam body is simulated; then simulating the unstable seepage process of the rock-fill dam and the foundation, and solving the seepage problem with a free surface; carrying out seepage-stress coupling calculation on the dam body material, and establishing a seepage-stress coupling control equation of the dam body material; carrying out seepage-stress coupling calculation on the overburden foundation, establishing a seepage-stress coupling control equation of the foundation, and finally obtaining a relationship among stress, strain and pore pressure to realize the seepage-stress coupling calculation; numerical simulation is conducted, and a concrete faced rockfill dam rheological numerical simulation result considering the seepage effect is obtained. The problems that in the prior art, the stress deformation rule of the concrete faced rockfill dam under the seepage-rheology coupling effect is not clear yet, and meanwhile, a seepage-rheology coupling calculation method is not perfect enough are solved.

The invention relates to the technical field of coast engineering, and discloses a multi-source data-based beach restoration decision-making method and system, and the method comprises the following steps: obtaining multi-source data of beach monitoring, carrying out the data fusion processing, and generating a feature tensor with a unified temporal-spatial resolution; performing symbol regression analysis based on the feature tensor, and automatically discovering a control equation of beach evolution; and inputting the evolution equation into a decision optimization framework to generate a beach restoration decision scheme. According to the method, through organic combination of multi-source data fusion, symbolic regression analysis and a decision optimization framework, accurate description of a beach evolution process and intelligent generation of a repair decision are realized; according to the scheme, information of various monitoring data can be fully utilized, a control equation of beach evolution and time-varying characteristics of the control equation can be automatically found, and a physical rule is directly converted into a specific engineering decision suggestion, so that prediction precision and decision efficiency of beach repair are improved.

The invention discloses a PINN-based high-precision hydrodynamic numerical simulation method and system, and the method comprises the steps: firstly building a computational domain, setting reasonable geometric parameters and boundary conditions, and constructing a dimensionless Navier-Stokes control equation set; then designing a deep neural network architecture with space-time coordinate input and flow field variable output, and adopting a loss function combining physical constraint and data driving; the core innovation lies in providing a timing sequence sensing RAR-D adaptive sampling strategy, dividing a time domain into a plurality of time frames, performing residual error evaluation in each frame, constructing a probability density function related to residual errors, and balancing priority sampling and overall coverage of a high residual error region; adam and L-BFGS optimizers are adopted to carry out network training, the weight of a loss function is dynamically adjusted, and a sampling point set is periodically updated; and finally, the solution precision is verified through multi-dimensional flow field visualization analysis. Therefore, the prediction precision of the complex flow field is effectively improved, and the calculation efficiency is remarkably improved.

A transient stability control method for an islanding system with parallel heterogeneous networking inverters comprises the following steps: when a symmetric short-circuit fault occurs in a common line, collecting a grid-connected point voltage effective value of a droop control inverter and a frequency output value of a droop control and virtual synchronous generator; calculating a fault degree based on the voltage effective value, and determining a relative frequency by combining droop control and a VSG frequency difference value; generating a transient stability improvement coefficient according to the fault degree; the lifting coefficient and the relative frequency are fused through an integrator, and adjusting power is generated; injecting the adjusting power into the droop control equation to obtain an improved droop control equation; and combining the improved droop control equation and the VSG control equation to obtain an equivalent synchronous motion equation of the heterogeneous network-building type inverter parallel system during the fault period. According to the method, the power distribution is dynamically adjusted, the power transmission limit of the system during the fault period is improved, the transient stability under the serious fault is ensured, and an effective control scheme is provided for the micro-grid containing the heterogeneous inverter.

The invention discloses an oil-immersed transformer fault deduction characterization method and system based on multi-physics field simulation, and the method comprises the steps: firstly building a 110 kV oil-immersed transformer multi-physics field twin model through SOLIDWORKS and COMSOL, precisely setting boundary conditions and material attributes, and constructing a coupling multi-physics control equation set to solve a reference distribution field; thirdly, constructing a fault sensitive area monitoring mapping model, and screening monitoring point positions; meanwhile, a typical fault simulation database is built, and multiple disturbance types are covered. Simulation and actual measurement data are integrated through a multi-modal feature fusion model, and a future state is predicted by means of a state deduction model based on time sequence prediction. In addition, a self-adaptive degradation perception and model correction mechanism is introduced, so that the prediction credibility is improved. According to the method and the corresponding system, the fault can be deduced efficiently, powerful technical support is provided for fault diagnosis and maintenance of the oil-immersed transformer, and stable operation of a power grid is facilitated.

The invention belongs to the related technical field of heat dissipation of electronic equipment, and discloses a liquid cooling device and a preparation method and application thereof, and the method comprises the steps: S1, enabling a control equation of the liquid cooling device to be equivalent to a continuity equation, an N-S equation and a heat transfer equation based on equivalent parameters; s2, taking the minimum average temperature and energy dissipation of the whole design domain of the liquid cooling device as a target function, taking the volume fraction of the fluid domain as a constraint condition, and constructing a topological optimization model based on a continuity equation, an N-S equation and a heat transfer equation; s3, an optimization solver is adopted to carry out iterative solution on the topological optimization model, whether a result meets a convergence condition or not is judged, if yes, a topological structure is output, and the step S4 is executed; otherwise, updating the design variable of the topological optimization model, and turning to the step S1; and S4, the three-dimensional model of the liquid cooling device is corrected based on the obtained topological structure, and then blowing forming is carried out based on the corrected three-dimensional model to obtain the liquid cooling device. According to the invention, the cost is reduced.

The invention discloses a roadbed pavement test and data acquisition system under the action of moving load, which comprises the following steps of: acquiring high-precision pavement unevenness data, decomposing features through a space-time convolution variational self-encoding network and inhibiting noise; based on the normal stiffness and the morphological gradient, the density of the sensor is adjusted by adopting dynamic grid division, and multi-modal data is fused by utilizing Bayesian weight. And adaptively extracting signal details by applying multi-scale transformation, and designing a filter to enhance the damage signal and optimize the structure entropy. And constructing a multi-field coupling grid control equation to realize dynamic topological optimization reconstruction. And establishing a damage evolution state space, and training the prediction model through a multi-stage reinforcement learning framework in combination with experience playback. And constructing a digital twin mapping model, integrating Bayesian optimization and reinforcement learning, and establishing a virtual-real feedback channel to realize dynamic decision optimization. According to the invention, innovative improvement on a traditional test method and a data acquisition system is provided, and meanwhile, complex nonlinear dynamic behaviors can be accurately simulated and analyzed.

The invention discloses a reservoir-shaft integrated prediction method for geothermal exploitation, which belongs to the technical field of geothermal exploitation, and comprises the following steps: S1, constructing a cross-scale reservoir model, S2, establishing a reservoir-shaft coupling model, S3, establishing a heat-fluid-solid coupling control equation, S4, solving the coupling control equation, S5, simulating multiphase flow in a shaft, and S6, learning and optimizing a machine. S7, dynamically updating prediction; by constructing a cross-scale reservoir model and a wellbore-reservoir coupling model, accurate mapping from micro pores to macroscopic thermal storage and dynamic coupling of a reservoir and a wellbore are realized, and numerical solution and multiphase flow accurate simulation of a thermal-fluid-solid multi-field coupling control equation are combined. Rock heterogeneity, multi-physical field interaction and complex flow characteristics in the shaft are comprehensively considered, the prediction accuracy and comprehensiveness are greatly improved, and the defects that in a traditional method, reservoir and shaft analysis is split, and the model precision is limited are overcome.

The invention is applicable to the technical field of coal bed gas development and geological sequestration, and provides a THMC multi-field coupling simulation method and system for a process of displacing CH4 by coal bed CO2, and the method comprises the following steps: collecting multi-source parameter information of a target coal bed; according to the multi-source parameter information, constructing a coal seam structure model comprising a matrix and a crack system; constructing a control equation system based on the coal seam structure model, and introducing a multi-field coupling mechanism to obtain a fully-coupled mathematical model; performing numerical solution on the fully-coupled mathematical model to obtain a spatio-temporal evolution result of the key field variables; and according to the spatio-temporal evolution result of the key field variable, evaluating the index of the target coal seam. According to the invention, a heat-force-gas-chemical multi-physical field full-coupling simulation system is constructed, so that the CH4 recovery rate and the CO2 storage stability can be accurately predicted. The method is suitable for gas injection-storage coupling optimization of a multi-coal-rank and low-permeability coal seam, and has high precision, high adaptability and remarkable engineering guidance value.

The invention discloses a dynamic efficiency optimization management and control method for a wind-light hydrogen storage system, which comprises the following steps of: acquiring operating parameters of an electrolytic bath based on a water electrolysis hydrogen production simulation framework of an alkali liquor medium, and analyzing joint probability distribution and correlation coefficients of historical wind-light data through a wind-light photovoltaic synergistic effect model; constructing a system load accommodating setting model; when the frequency or voltage fluctuation of the power grid is detected, starting a quasi-synchronous electric element regulation and control framework PSEERA, and adjusting the output power through a droop control equation; the comprehensive performance indexes are optimized by adopting a Ling-tuned chaos infinitesimal search (SACMESA) algorithm, and main control factors are extracted through a multi-element optimization evolution (BKEAMOEA) algorithm analyzed according to key elements to carry out multi-objective optimization; implementing a scattered point type cooperative control strategy including bottom-layer equipment control, middle-layer energy management and upper-layer system scheduling, and realizing cross-level dynamic optimization; the peak regulation and frequency modulation capability, the safety and the stability of the power grid are remarkably improved.

The invention discloses a soil hydraulic coupling simulation method and system based on a physical information neural network. The method comprises the following steps: firstly, constructing two improved full-connection neural networks for respectively predicting pore water pressure and deformation response in a soil body; according to a soil hydraulic coupling partial differential equation set, non-dimensionalization control equation loss items of a liquid phase and a solid phase are established based on a fixed stress splitting method, and a total loss function of the liquid phase and the solid phase is established in combination with an initial boundary value condition; and finally, alternately training loss functions of a liquid phase and a solid phase based on a sequential training strategy and a gradient normalization self-adaptive loss balance strategy. According to the method, a sequential training strategy, an improved full-connection neural network and a self-adaptive loss balance scheme are adopted to improve a traditional physical information neural network, and prediction precision and training stability are improved. The trained physical information neural network can be used as an agent model to predict pore water pressure and deformation, and has great application potential.

Provided is a method for predicting vibration response and stiffness degradation of a helical gear. The method includes: establishing a lumped parameter dynamic model of a gear system according to a meshing condition of a pair of gears, considering that the gear system is a multi-degree-of-freedom system under the action of a deterministic force and a random force, establishing a digital twin model of the system at multiple time scales of characteristic time and running time, calculating a translation-vibration coupling control equation, establishing a grey box model by combining unscented Kalman filter with machine learning, performing combined state parameter estimation upon collected data to construct a state prediction framework, and predicting stiffness degradation at a running time scale. Response of a nonlinear multi-degree-of-freedom system can be predicted, and the residual stiffness of the gear is predicted through the collected data.

The invention provides a deep energy reservoir multi-scale heat-fluid-solid coupling simulation method and system, and belongs to the field of deep energy reservoir numerical simulation. Acquiring spatial distribution characteristics and physical property parameters of different lithologic reservoir media under a micro-scale, and constructing a digital structure model of the reservoir media; a micro-observation action mechanism and a flow mechanism are embedded in the model to obtain a micro-observation numerical model; establishing a mapping relation by solving model structure parameters and physical property parameters of the microscopic numerical model under different thermal-fluid-solid coupling conditions; and on the basis of the mapping relationship, in combination with the macrogeological and engineering data of the target reservoir, establishing a macroscale heat-fluid-solid multi-field coupling control equation and solving, and outputting the multi-physics field response of the target reservoir under the given working condition. According to the method, fine simulation of physical property parameter dynamic transmission and a multi-field coupling evolution process from a micro view to a macro view is realized, and the accuracy and reliability of deep complex reservoir engineering behavior prediction are remarkably improved.

The invention discloses a state evaluation and fault early warning method and system based on superconducting current limiter modeling, an electromagnetic heat multi-physical field coupling model of a superconducting current limiter is constructed based on finite element software, and the method comprises the following steps: constructing a three-dimensional geometric structure of a solenoid-shaped superconducting current limiter, and setting a peripheral electromagnetic environment boundary; establishing an electromagnetic field control equation based on a Maxwell equation set and the nonlinear resistivity characteristic of the superconducting material, and coupling a solid heat transfer control equation to form a multi-physical field interaction model; optimizing grid division to balance calculation precision and solving efficiency; body parameters of the superconducting current limiter including the initial critical current Ic0 and the critical temperature Tc and working condition parameters including the environment temperature and the transmission current It are input, the parameters are dynamically adjusted according to the actual operation scene, and the voltage U at the two ends during normal operation is calculated through a model; by collecting voltage measured values Up at the two ends of the superconducting current limiter during actual operation in real time, whether the voltage measured values Up exceed a threshold value set according to the voltage U or not is judged, and an early warning mechanism is triggered.

The invention discloses a method and a system for designing a fluid flow channel of a calcium-based thermochemical heat storage fixed bed reactor based on topological optimization and a storage medium. The method comprises the following steps: S1, constructing a geometric model of a design domain of the reactor; s2, constructing an objective function and establishing a two-dimensional topological optimization mathematical model based on a control equation of conjugate heat transfer and fluid flow; s3, solving the mathematical model to obtain an optimal fluid flow channel two-dimensional topological structure; s4, performing geometric reconstruction on the two-dimensional topological structure obtained in the step S3, converting the two-dimensional topological structure into a Bezier curve, and integrating the Bezier curve into a geometric model corresponding to the original design domain; s5, establishing a finite element model of the reactor; s6, temperature field and pressure field distribution is calculated based on CFD simulation, whether the heat storage performance target is met or not is judged, and if not, corresponding control parameters are adjusted to return to the step S3 until the heat storage performance target is met; the device can optimize the heat transfer and mass transfer performance of the reactor at the same time, and the optimization design efficiency is high.

The invention relates to the technical field of aerostats, solves the technical problem that a traditional CD-ROM device control design method is large in application range limitation, and particularly relates to a control method of a floating device and an autonomously-moving floating device.The control method comprises the steps that an independent air chamber is filled with low-density air, and the floating device autonomously floats in air; and establishing a control equation for controlling the autonomous movement of the floating device by controlling the illumination intensity, placing the floating device floating in the air in the illumination area, and autonomously controlling the floating device to advance according to the preset direction based on the control equation. The optical drive control system is simplified by utilizing the deformation characteristic of the liquid crystal elastomer, so that the light weight of the floating device is realized, fuel and a controller do not need to be carried, and long-time autonomous flight can be realized by utilizing photo-thermal energy so as to adapt to complex and changeable application scenes.

The invention relates to the technical field of computational fluid mechanics and system control, and discloses a multiphase flow flow control and heat exchange simulation system, which comprises a multi-physical field tensor modeling module for reconstructing a control equation into a uniform high-order tensor and extracting a curvature tensor; the dynamic tensor dimension reduction and implicit coupling solving module is used for performing dynamic rank reduction on the tensor equation and constructing a tensor product Jacobian matrix; the physical constraint agent modeling and migration optimization module is used for constructing an agent objective function embedded with a physical conservation law; the asynchronous time stepping and multi-scale coordination module is used for realizing asynchronous time propulsion and strong coupling solution based on curvature tensor; and the multi-objective optimization and decision mapping module is used for performing multi-objective optimization based on the proxy objective function. According to the method, a multi-physical field control equation is reconstructed into a unified high-order tensor, and a tensor decomposition strategy for dynamic rank adaptive adjustment based on a phase interface curvature tensor and a Jacobian condition number is combined, so that efficient and stable solution of the high-dimensional coupling physical system is realized.

The invention provides a pile-soil-structure dynamic interaction analysis method, which belongs to the technical field of civil engineering, and obtains system data through three-scale physical model experiments: the first scale pays attention to microscopic soil behaviors, the second scale and the third scale are determined based on a multiphase fluid-solid coupling equation, and the third scale is determined based on a multiphase fluid-solid coupling equation; and respectively paying attention to the mesoscopic interface action and the macroscopic overall response. A pile-soil interface control equation and a pile structure coupling equation are established based on experimental data to form a basic equation set, a domain decomposition method is adopted to divide a calculation area into a fine grid near field and a rough grid far field, and a minimum spanning tree algorithm is applied to optimize grid division. Pile body stress distribution and a soil body deformation field are obtained through numerical solution, a pile foundation transverse displacement function is obtained through analysis solution, finally the pile body stress distribution and the soil body deformation field are combined to form a complete pile-soil-structure dynamic interaction model, and the technical problem that the pile-soil-structure dynamic interaction cross-scale effect is difficult to accurately simulate is solved.

The invention belongs to the related technical field of structure optimization, and discloses a full-scale topological optimization method of a structure under dynamic load, which comprises the following steps of: (1) constructing local volume constraints to represent the allowable maximum material volume in each grid neighborhood of the structure to be optimized, and aggregating all the local volume constraints in a design domain into a total constraint; (2) dispersing the duration of the dynamic load, performing dynamic finite element analysis in each time step, taking a continuous density field of the structure as a design variable, minimizing the dynamic flexibility of the structure as a target function, taking a dynamic balance equation of the structure as a control equation, and constructing a constraint function based on global volume constraint and local volume constraint obtained by aggregation, so as to obtain a dynamic load; further constructing a full-scale topological optimization model under the dynamic load; and (3) solving the control equation, carrying out dynamic finite element analysis on the to-be-optimized structure, and solving the full-scale topological optimization model to obtain the optimal density distribution of the structure. The method considers the influence of the dynamic load.

The invention provides a flow field solving method based on a time sequence physical information neural network, and belongs to a partial differential equation calculation method. The method comprises the following steps: firstly, determining a flow field motion law and a flow field computational domain based on a fluid motion control equation, configuring data points for training and performing data fusion operation; secondly, constructing a physical constraint residual equation, taking the training data set as input data of a neural network, calculating a data residual term, weighting a calculation result of the physical constraint residual equation and a calculation result of the data residual term, and constructing a data-physical mixed loss function; and finally, constructing a time sequence-based physical information neural network, performing training optimization on parameters of the time sequence-based physical information neural network, completing training and obtaining simulated flow field features. By introducing the time sequence module, the accuracy of flow field dynamic simulation based on the time sequence physical information neural network is improved, the requirement for the model solving speed can be met, and the feasibility and accuracy of the model are guaranteed.

The invention provides an optical element surface type simulation method based on a physical information neural network, and relates to the technical field of element design and simulation, and the method comprises the steps: constructing a feedforward neural network; generating a deformation control equation model library; constructing a three-dimensional simulation database; forming a machine learning parameter library; training the PINN deformation simulation model in combination with a deformation control equation model library, a three-dimensional simulation database and a machine learning parameter library, and screening out a target PINN deformation simulation model meeting a preset condition; inputting the design parameters, the support structure parameters and the given external load parameters of different combinations into the target PINN model to obtain a key performance prediction result of the optical element; according to the method, the key performance of the element under various parameter combinations can be rapidly evaluated, the design iteration period is shortened, the trial and error cost is reduced, direct data support is provided for supporting structure optimization design, and the bottleneck problem that a traditional method restricts the research and development efficiency of a high-precision optical system is effectively solved.

The invention discloses a wind turbine blade semi-coupling aeroelastic modeling method considering nonlinear deformation, and belongs to the technical field of fan simulation calculation. In combination with calculation parameters used by three-party software, establishing a blade structured load model and a blade correction aerodynamic model, calculating an aerodynamic load and a structural load, and superposing: superposing the aerodynamic load, the gravity load and the centrifugal force load of the blade as an external load of a nonlinear structure control equation of the blade, and taking the external load as a calculation parameter; according to the method, the blade nonlinear structure model and the semi-coupling simulation process of the three-party wind turbine simulation software are constructed, and under the same simulation environment and load conditions, the blade nonlinear structure model and the three-party wind turbine simulation software can be subjected to semi-coupling simulation, so that the blade nonlinear structure model and the three-party wind turbine simulation software can be subjected to semi-coupling simulation calculation. The higher-precision non-linear motion response characteristics of the super-long flexible wind turbine blade are calculated, and a good effect can be achieved in the aspects of initial structure design and response evaluation of the large wind turbine blade.

The invention discloses a fluid distribution dynamic regulation and control method and device based on a shale reservoir microstructure, and relates to the technical field of oil and gas exploitation. The method comprises the steps that microstructure parameters of a target shale reservoir are obtained through a core experiment, and a multi-scale model is constructed based on the microstructure parameters; determining control equations of different physical fields of the multi-scale model; coupling the control equations of different physical fields, and resolving through a finite element method; performing a numerical simulation experiment based on the multi-scale model and the resolving result to determine regulation and control parameters; the regulation and control parameters are input into the multi-scale optimization model to optimize the regulation and control parameters, and a regulation and control strategy is obtained. The problems that an existing displacement experiment is single, the complex interaction process under the actual mining environment is not comprehensively considered, and the guiding effect on mining work is limited are solved. Business personnel can be guided to formulate a development scheme more scientifically and accurately, the mining efficiency and the success rate are improved, the development cost can be reduced, and meanwhile economic benefits are improved.

The invention discloses an ultra-deep well drilling wellbore pressure inversion correction method, and aims to improve pressure prediction precision and well control safety in an ultra-deep well drilling process. The method mainly comprises the following two parts: firstly, establishing a wellbore pressure calculation model, fully considering the change of drilling fluid density along with temperature and pressure based on a mass and momentum conservation equation in a drill rod and an annulus, performing discrete solution on the established control equation by adopting a finite difference method, and performing iterative calculation from a well bottom to a well mouth and from the well mouth to the well bottom, so as to obtain a well pressure calculation model; and acquiring pressure and physical property parameters of each node. Secondly, on the basis of model output, a friction correction factor is introduced, a nonlinear state space model is constructed, an unscented Kalman filter (UKF) algorithm is used for conducting dynamic estimation on the friction correction factor, and online self-adaptive correction on the wellbore pressure model is achieved; according to the method, the accuracy of wellbore pressure calculation is effectively improved, and reliable technical support is provided for ultra-deep well operation.

The invention discloses a CFD (computational fluid dynamics) simulation-based road construction environmental emission calculation method, and particularly relates to the technical field of environmental engineering and numerical simulation. The method comprises the following steps: establishing a three-dimensional physical model of a road construction environment emission system and determining a flow field computational domain; performing grid division on the three-dimensional physical model in a flow field calculation domain and establishing a grid structure internal association relationship; applying a mass conservation equation set, a momentum conservation equation set and an energy conservation equation set to the simulation model, and constructing a control equation system in combination with the turbulence model and the gas-solid two-phase flow model; setting boundary conditions such as an inlet, an outlet and a wall surface, and constructing an environmental emission simulation calculation model; actual data such as airflow velocity, temperature and particulate matter concentration of a road construction site emission source are collected and input into a simulation model for simulation calculation, a simulation result is compared with actually measured data through a relative error method, model verification is completed, and visual modeling and quantitative measurement and calculation of the road construction environment emission process are achieved.

The invention discloses a numerical simulation method for simulating resin flow in a molding process of an intelligent composite material with an embedded optical fiber. The method comprises the following steps: generating a fiber bundle model through a Monte Carlo random algorithm; establishing a mesoscopic model for embedding optical fibers inside or outside the fiber bundle; establishing a resin flow control equation based on a phase field method in the finite element model; applying pressure load to an inlet and an outlet of the model, and submitting finite element calculation; the velocity field and the pressure field obtained through simulation are checked, and the influence rule of the optical fiber on the resin infiltration fiber bundle is analyzed. The method has good guiding significance for optimizing the intelligent composite material forming process and reducing forming defects.

The invention provides an insulating material surface arc ablation resistance simulation method based on magnetohydrodynamics, and belongs to the field of insulating material performance detection. The method comprises the following steps: establishing an insulating material surface arc ablation resistance model; constructing a magnetohydrodynamic control equation set; setting boundary conditions of the model; and iteratively solving the magnetohydrodynamic control equation set through finite element simulation software to obtain a temperature distribution diagram of the insulating material under different arc ablation times, and comparing the temperature distribution diagram with a TGA curve of the insulating material to judge the arc ablation resistance of the insulating material. According to the invention, the power-frequency alternating-current high-voltage arc and the insulating material are used as simulation objects, engineering practice is better met, the surface arc ablation resistance process of any insulating material can be simulated by changing the physical characteristic parameters of the insulating material, and the TGA curve of the material is introduced to judge the arc ablation resistance of the insulating material. And technical support is provided for high-voltage switch equipment insulating material type selection.

The invention belongs to the technical field of tunnel engineering, and particularly relates to a cold region tunnel water thermal coupling numerical modeling method and system. The method comprises the following steps: establishing an equal-proportion tunnel geometric model; defining equation variables, and setting various parameters, boundaries and initial conditions of materials; performing grid division to obtain a tunnel numerical calculation model; based on the tunnel numerical calculation model, solving a pre-constructed tunnel hydrothermal-thermal coupling mathematical model to obtain tunnel temperature field, moisture field and stress field distribution data; the tunnel water thermal-mechanical coupling mathematical model comprises a temperature field control equation, a moisture field control equation and a stress field control equation; and visualizing the distribution data of the temperature field, the moisture field and the stress field of the tunnel to obtain the change conditions of the temperature field, the moisture field and the stress field of the tunnel in winter. The method can effectively simulate and analyze the distribution conditions of moisture, temperature and stress of the tunnel in the cold region under the multi-field coupling condition, and provides scientific basis for design and maintenance of tunnel engineering in the cold region.