256 results about "Finite element analysis software" patented technology

In the present invention, a location joint monitoring solution based on the state of a distributed optical fiber and based on an ultra-short baseline is used, and the solution consists of a distributed optical fiber monitoring device, an ultra-short baseline positioning device and a health monitoring host computer. The distributed optical fiber monitoring device consists of a distributed optical fiber cable (300), a distributed optical fiber demodulator (421), etc. The ultra-short baseline positioning device consists of an ultra-short baseline array (200), an underwater beacon (100), a signal processing device (411), etc. The health monitoring host computer (431) can perform signal conditioning, digital signal processing and parameter estimation by means of the signal processing device and the distributed optical fiber demodulator and by using acquired data such as key point locations, deformation and postures, and complete space curve reconstruction of an underwater riser by means of a space curve reconstruction algorithm and an existing finite element analysis software platform, thereby realizing visual outputs of an underwater state of a marine riser.

The invention discloses a method for online reconstruction of a temperature field of a cutting area of a temperature measurement end mill. The method comprises the following steps: constructing a milling cutter three-dimensional model; establishing a milling heat conduction model; finite element analysis software is used for conducting heat conduction positive problem simulation under different heat flow densities; extracting a temperature value of each node and calculating a temperature sensitivity coefficient; acquiring a temperature data sequence at the temperature measurement position; establishing and training a heat conduction inverse problem algorithm model; acquiring real-time temperature data and predicting heat flux density through a temperature measurement module; and on-line reconstruction of the temperature field of the cutting area is realized in combination with the temperature sensitivity coefficient and the predicted heat flux density. The method can monitor the cutting temperature in real time, optimize the machining parameters, prolong the service life of the cutter and improve the machining precision.

The invention discloses a valve processing and manufacturing method based on digital twinning, which comprises the following steps: S1, constructing a valve digital twinning model, creating a valve geometric model by using three-dimensional modeling software, and endowing the valve geometric model with physical attributes and material characteristics through finite element analysis software, carrying out design optimization through fluid mechanics simulation and stress analysis; s2, establishing a processing technology digital twin model, performing digital modeling on the device, integrating processing technology parameters, and simulating a material processing process; s3, the machining process is monitored in real time, multiple types of sensors are deployed on machining equipment, and operation data of the machining equipment are collected in real time; s4, dynamic simulation and comparative analysis are conducted, specifically, the digital twin model dynamically simulates the actual machining process according to real-time collected data, and a simulation result and design requirements are compared and analyzed; and S5, feedback control optimization: when the processing deviation exceeds a preset threshold value, automatically generating a process parameter adjustment scheme and feeding back the process parameter adjustment scheme to a processing equipment control system.

The invention relates to a hypertrophic obstructive cardiomyopathy virtual resection operation curative effect evaluation method based on individualized computational fluid mechanics, which can give visual postoperative hemodynamic indexes, predict postoperative curative effects, find an optimal resection scheme and realize preoperative accurate intelligent evaluation. Comprising the following steps of: acquiring coronary artery enhanced computed tomography image data, acquiring a coronary artery enhanced computed tomography image of a patient, and outputting and storing the coronary artery enhanced computed tomography image in a DICOM (Digital Imaging and Communications in Medicine) format; preprocessing image data, and segmenting and reconstructing a left ventricle-outflow tract structure three-dimensional model; setting a virtual excision scheme at the fleshy part; constructing a surgical resection model, and importing the model into finite element analysis software for solving; and the virtual postoperative curative effect is visualized. Verification and curative effect prediction of a patient excision scheme can be realized, and the operation success rate of a hypertrophic obstructive cardiomyopathy patient is improved.

The invention relates to the technical field of engineering mechanical structure optimization, in particular to an excavator structure topological optimization method and system based on real-time stress field reconstruction. The method comprises the following steps of: designing finite element analysis software, modeling and simulating in the finite element analysis software to obtain virtual data, designing a Kalman filter to carry out error correction on the virtual data and actual test data, training the Kalman filter by utilizing the corrected data to obtain prediction of real-time stress field distribution, and further, establishing a topological optimization model of an excavator structure, according to the method, material attributes are coded into a weight matrix in a neural network, and a stress constraint partial differential equation is used as a constraint condition, so that high-precision reconstruction of the stress field of the movable arm of the excavator under an actual working condition is realized, and an accurate boundary condition is provided for topological optimization.

The invention relates to the technical field of vehicle frame structure optimization, and discloses a vehicle frame structure optimization method and system based on an SIMP-PLSM fusion method, and the method comprises the steps: building a vehicle frame geometric model, and defining a design domain of the vehicle frame geometric model and a plurality of preset first boundary conditions under different working conditions; topological optimization software is adopted to carry out topological optimization calculation on the geometric model of the vehicle frame under each working condition by utilizing an SIMP-PLSM fusion method, and a first topological optimization model under each working condition is obtained; carrying out rigidity analysis on the first topological optimization model under each working condition by adopting finite element analysis software, and obtaining a weight value of each working condition according to a rigidity analysis result; and performing weighted average processing on the topological optimization target of each working condition by adopting topological optimization software according to the weight value of each working condition, and performing topological optimization on the geometric model of the frame again by utilizing an SIMP-PLSM fusion method to obtain a topological optimized frame model under multiple working conditions. The optimization efficiency is high, the optimization result is good, and the manufacturability and practicability of the optimized structure are high.

The invention relates to the technical field of civil engineering digitization, and discloses a steel structure physical digital twin model construction method, device and equipment and a medium, the method comprises the following steps: carrying out multi-source point cloud data acquisition on a steel structure, and generating a steel structure complete point cloud model based on the multi-source point cloud data; extracting a complete geometric line model and a section size of the steel structure from the complete point cloud model of the steel structure, and obtaining an actually measured material constitutive of the steel structure through a material property test; establishing a large-span space steel structure finite element model by adopting finite element analysis software based on the complete geometric line model, the section size and the actually measured material constitutive structure of the steel structure; and correcting the finite element model based on the residual error between the measured data of the steel structure and the simulated data of the steel structure output by the finite element model, and taking the corresponding finite element model when the residual error is less than a preset threshold value as the physical digital twinborn model of the large-span space steel structure. According to the method, millimeter-level geometric reduction, real material parameter association, lightweight efficient calculation and dynamic data correction are realized.

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

The invention discloses a structure simulation optimization method for handbag accessories. The method comprises the following steps: determining an optimization target and setting a load condition and a boundary condition; creating a three-dimensional geometric model of the handbag accessory; performing mesh generation on the geometric model to generate a finite element mesh model; defining the material attribute of each part of the handbag accessory; boundary conditions and loads are applied, and physical constraint and stress conditions of the handbag accessories in the actual use process are simulated; carrying out simulation calculation by using finite element analysis software to obtain deformation, stress and strain distribution of the handbag accessory under the action of a load; performing structure optimization on the handbag accessories according to a simulation calculation result; according to the structure simulation optimization method for the handbag accessories, the problems of precision, efficiency and cost in the design of the handbag accessories are solved, the intelligent level of the design process is improved, and the quality and performance of products are ensured.

The invention discloses a driving risk assessment method based on a coupled vibration model, and the method comprises the steps: S1, obtaining a vehicle dynamic parameter and a geometric dimension parameter, and building a vehicle dynamic model based on the vehicle dynamic parameter and the geometric dimension parameter by employing finite element analysis software or directly calculating a dynamic differential equation set; s2, acquiring bridge vibration excitation, roughness excitation and crosswind excitation; s3, inputting the bridge vibration excitation, the roughness excitation and the crosswind excitation into the vehicle model for coupled vibration analysis, and obtaining vehicle vibration response data; and S4, based on the vehicle vibration response data, obtaining a driving safety index and a comfort index, and performing risk assessment according to preset threshold values of safety and comfort. According to the method, multi-dimensional factors such as the wind environment, the vehicle dynamic response, the bridge structure vibration characteristic and the driving comfort degree are considered, and a high-precision and high-reliability risk assessment basis can be provided for a bridge operation unit.

The invention discloses a sludge bin design and optimization method based on finite element analysis. The method comprises the steps that 1, a three-dimensional model of a sludge bin is established; 2, material characteristic values are added into the three-dimensional model of the sludge stock bin, and grid division is carried out; 3, after boundary strip constraint conditions and loads are added into the three-dimensional model of the sludge bin, finite element analysis software is operated, and a strength analysis result is obtained; 4, judging whether the strength analysis result meets the strength design requirement or not; if the strength analysis result does not meet the strength design requirement, returning to the step 1; if the strength analysis result meets the strength design requirement, entering the step 5; 5, carrying out optimization design to obtain an optimization design result; and 6, judging whether the optimization design result is optimal and meets the strength design requirement or not, if so, outputting the optimal three-dimensional model of the sludge bin, and if not, repeating the steps 1-5. According to the invention, the stress condition of the discharge bin under the target load can be accurately simulated, and the structure is optimized.

The invention discloses a flexible support design method for a spatial large-aperture reflector and a support structure, and relates to the field of quasi-kinematics support design of large-aperture spatial reflectors. According to the method, a titanium alloy material is selected, parameters such as the size of a connecting frame and the total height of a Bipod support are determined according to the quality of a reflector, the size of a glue spot and an installation space, a cross-shaped blade flexible element is designed to serve as a flexible knot, a three-dimensional parameterized model is established and imported into finite element analysis software, and the three-dimensional parameterized model is obtained. And optimizing structural parameters by taking the RMS value of the optical surface deformation of the reflector as a judgment standard, and finally carrying out dynamic verification such as modal analysis and random vibration analysis. According to the supporting structure, rigidity and flexibility are balanced through a flexible joint, thermal stress can be released, rigidity in the optical axis direction is guaranteed, the bending moment and the influence of machining and assembling errors are reduced, the supporting structure is suitable for reliable supporting of the spatial large-aperture silicon carbide reflector, and the positioning precision and the surface shape precision of the reflector during on-orbit work are effectively guaranteed.

The invention belongs to the related technical field of all-solid-state lithium metal batteries, and discloses an all-solid-state lithium metal battery cycle performance prediction method and system, and the method comprises the steps: building an electrochemical mechanical coupling polycrystalline phase field model according to the Helmholtz free energy evolution of dendrites; wherein grain boundary phase field parameters and dendritic phase field parameters are introduced into the polycrystalline phase field model to distinguish a three-phase system; deducing a lithium diffusion control equation, an electrostatic potential distribution equation and a stress balance equation; randomly generating a polycrystalline solid electrolyte by adopting a Voronoi algorithm; performing simulation solution on the polycrystalline phase field model by using finite element analysis software; and predicting the cycle performance of the all-solid-state lithium metal battery according to a simulation result. According to the invention, deep systematic research on the growth and stripping mechanism of the lithium dendrites in the solid-state battery can be realized, so that the cycle performance of the battery can be predicted based on the lithium dendrites, and targeted regulation and improvement are facilitated to improve the performance of the battery.

The invention discloses a skin stretch forming residual stress rapid calculation method which comprises the following steps: randomly generating a combination of a pre-stretching amount, a coating elongation rate and a friction coefficient, submitting the combination to finite element analysis software to execute batch simulation, and generating a result file named by process parameters; traversing all the result files, extracting node numbers and residual stress values, and storing the node numbers and the residual stress values as a text format data set corresponding to the process parameters; a full-connection neural network model is constructed, an input layer receives the three process parameters of the pre-stretching amount, the coating elongation and the friction coefficient, a hidden layer comprises multiple layers of neurons and adopts a ReLU activation function, and an output layer generates residual stress values of all nodes; training the neural network model by using the data set, and adjusting the network weight through an optimizer; and inputting target process parameters to the trained neural network model, and outputting residual stress calculation results of all nodes of the skin. The technical purposes of rapidness, high efficiency and low cost are achieved.

The invention discloses an exercise management method and system for musculoskeletal chronic pain, and relates to the technical field of exercise management rehabilitation, and the method comprises the steps: building a biomechanical model for a patient through finite element analysis software, determining an optimal exercise mode according to the pain mode and the activity ability of the patient, and generating an exercise track through a path planning algorithm, on the basis of micro-current collaborative feedback data, the pain change trend of the patient is calculated, and a motion adjustment plan is generated, a biomechanical model can truly reflect the force distribution conditions of the patient under different motions, the safety of a motion scheme is remarkably improved, and the potential injury risk is reduced; scientific basis is provided for dynamically adjusting the exercise intensity, the obtained exercise adjusting plan can respond to the state change of the patient in time, and the intelligent level and the long-term curative effect of rehabilitation management are further enhanced.

Disclosed is a comprehensive stress calculation method for Bitter plates of a water-cooled magnet, comprising: in finite element analysis software, using a plurality of three-dimensional slotted Bitter plates without a helix angle to construct a simplified coil model (S10); carrying out mesh generation on the coil model to obtain meshing nodes (S20); applying boundary conditions and loading conditions to the coil model after mesh generation, and then performing simulation, the boundary conditions comprising applying a corresponding node displacement coupling condition to slots of Bitter plates on the upper and lower end surfaces of the coil model and providing contact pairs on contact surfaces between all the Bitter plates, and the loading conditions comprising loading electromagnetic force to all the nodes of the coil model and applying axial force on the upper end surface of the coil model (S30); and, on the basis of a simulation result, calculating the stress distribution of the Bitter plates (S40). Further disclosed is a comprehensive stress calculation system for Bitter plates of a water-cooled magnet.

The invention discloses a modeling method for a transition area microstructure of a dual-performance turbine disc of an aero-engine. The method comprises the following steps: carrying out EBSD analysis and post-treatment on a microstructure of a transition region to obtain the area ratio and orientation distribution of a coarse grain structure and a fine grain structure in the transition region; open source Dream.3D software is used for inputting orientation distribution and corresponding area proportions of all the parts in a program control coarse grain part and a program control fine grain part respectively, and meanwhile by inputting strengthening phase structure size distribution and the area proportions, corresponding strengthening phases can be inserted in grain boundary parts; and a Python script is operated through ABAQUS finite element analysis software to carry out material attribute endowing on the model, so that the modeling process is completed. According to the method, modeling of the microstructure of the transition area of the dual-performance disc and modeling of microstructures of different parts of the transition area are achieved, and the strengthening phase structure is inserted into the grain boundary part, so that the real morphology of the microstructure of the alloy is better met.

The invention discloses a building structure explosion multistage early warning and damage assessment integrated analysis method, which relates to the field of building structure safety, and comprises a BIM-FEM model conversion module, an FEM explosion response and damage assessment module, an Internet of Things gas sensor acquisition module, an early warning analysis and grading early warning module and a data storage module. And an efficient automatic model conversion interface between the BIM and the FEM is developed. The interface realizes bidirectional data conversion between the BIM model and the finite element analysis model; a gas explosion load is applied to finite element analysis software, dynamic response and damage of each component under the gas explosion load are studied through numerical simulation, and anti-explosion damage evaluation attributes of each component are formed. The problem of low modeling efficiency of a complex structure in finite element analysis software is effectively solved, and automatic data extraction, model mapping and result write-back between the BIM model and the FEM model are realized.

The invention discloses a channel excavation model construction method, and aims to solve the problems of difficulty in mastering geological conditions, frequent back break, low construction efficiency and the like caused by the fact that traditional channel excavation construction depends on experience and lacks accurate model guidance. The method comprises the following steps: firstly, collecting channel geological data covering rock soil layer distribution, landform and other information; cleaning, filtering, de-noising and fusing the data, and establishing a unified database; a three-dimensional channel geologic model is constructed by using professional modeling software and a Kriging interpolation method, and the model is endowed with physical parameters and visualized. Determining excavation boundary and depth according to channel design requirements and the geologic model, and creating an excavation model and fusing the excavation model with the geologic model. The fusion process comprises the steps of data integration preprocessing, space registration and attribute association fusion, and finally, three-dimensional modeling and visualization technology display are carried out. And after the scene model is constructed, different excavation schemes are simulated by using finite element analysis software in combination with a construction scheme and equipment parameters, the geological mass mechanical response, the slope stability and the land subsidence condition are analyzed, and the optimal scheme is selected. During construction, a field sensor is used for collecting data to update the model in real time, and a constructor adjusts an excavation scheme according to the model. The method can improve excavation precision, guarantee construction safety, optimize resource utilization and improve construction efficiency, and is of great significance to navigation channel engineering construction.

The present invention relates to the field of slope monitoring technology, and specifically to a slope monitoring method and system based on multi-parameter fusion. The system discloses a multi-parameter slope monitoring module, a basic instability fusion evaluation module, an evolutionary instability fusion evaluation module, and a comprehensive instability warning module. By setting the multi-parameter slope monitoring module and the basic instability fusion evaluation module, the current instability risk of the slope is regularly analyzed based on a multi-parameter fusion method, and various monitoring parameters of the slope are predicted in combination with an LSTM model. In combination with finite element analysis software, a slope analysis model is constructed, and an in-depth simulation analysis is performed on the influence of each prediction parameter on the evolution of other monitoring parameters. The key action points and conduction paths of each parameter in the slope instability process can be revealed, and the comprehensive instability warning level of the slope can be comprehensively determined. The slope monitoring and stability evaluation process is optimized from multiple levels, allowing decision makers to have a more comprehensive and in-depth understanding of the instability risk of the slope.

The invention provides a method, device and equipment for exciting a single-mode guided wave in grounding flat steel, and belongs to the technical field of engineering structure detection, and the method comprises the steps: building a two-dimensional section model of the detected grounding flat steel through finite element analysis software, defining boundary conditions for the width and thickness in the two-dimensional section model, and carrying out the mode analysis and solving of the grounding flat steel. Performing statistics to obtain frequency-wave number data; based on frequency-wave number data, a phase velocity frequency dispersion curve and a group velocity frequency dispersion curve are drawn, after a corresponding mode is selected, excitation of specific single-mode guided waves is achieved in combination with a wave structure diagram and the application size and direction of a modulation load, and due to the fact that a two-dimensional section model including a width condition is obtained through finite element analysis, the excitation accuracy of the guided waves is improved. The phase velocity frequency dispersion curve and the group velocity frequency dispersion curve are recalculated, the corresponding wave structure diagram is combined, and the appropriate modal guided wave under the specific frequency is reselected for single excitation, so that the appropriate modal can be more accurately selected, and the defect detection accuracy is improved.

The invention belongs to the field of artificial intelligence and industrial finite element analysis software, and particularly relates to an LLM agent-based Abaqus finite element modeling code generation method and device. According to the method, high-precision and high-reliability finite element analysis script generation is realized through construction of an instruction-code pair database, semantic retrieval and instruction reasoning, code generation and verification and lightweight model deployment. Comprising the following steps: constructing an instruction-code pair database; performing semantic retrieval and instruction reasoning; code generation and verification; and lightweight model deployment. By using the method, the accuracy and the reliability of finite element analysis script generation can be effectively improved, and the threshold and the cost of an engineering simulation task are remarkably reduced. The industrial finite element analysis software script generation method based on the large model agent can be widely applied to finite element analysis tasks in the fields of aerospace, machine manufacturing and the like.

The invention relates to the technical field of broadband vibration control, in particular to a broadband vibration control method and device based on acoustic black holes and distributed vibration absorbers. The method comprises the following steps: constructing a three-dimensional model of the acoustic black hole, and importing the three-dimensional model of the acoustic black hole into finite element analysis software; design parameters of the distributed vibration absorber are defined, and a spring-mass-damping system model of a distributed vibration absorber unit is established; based on a collaborative tuning strategy of a gradient descent method, collaborative optimization is carried out on acoustic black hole and distributed vibration absorber parameters, and broadband vibration control is realized; based on a finite element analysis result, analyzing a transmission path and efficiency of energy between the acoustic black hole and the distributed vibration absorber by utilizing a mathematical model for analyzing vibration energy transmission and dissipation; a vibration signal of the acoustic black hole is collected through an acceleration sensor, and the broadband vibration control effect is verified. The design not only pays attention to the suppression of vibration energy, but also considers the energy dissipation efficiency and the lightweight demand of the system.

The invention discloses a composite material curved surface impact positioning method based on optical fiber sensors, and belongs to the field of composite material structure monitoring, and the method comprises the steps: embedding or attaching a plurality of optical fiber sensors in a composite material curved surface structure, selecting a fiber bragg grating sensor, and carrying out the design of a composite material. By means of finite element analysis software and in combination with engineering experience, key areas such as connection parts, load concentration areas and the like and possibly damaged areas are accurately determined, optimized layout is carried out according to area characteristics and mechanical requirements, two-dimensional or three-dimensional latticed distribution is formed, and full-coverage monitoring of the curved surface is achieved. According to the invention, the fiber Bragg grating sensors are optimally arranged in key and vulnerable areas of a composite material curved surface to form two-dimensional or three-dimensional latticed distribution, and special flexible packaging and an advanced manufacturing process are matched to adapt to a complex curved surface, realize full-coverage monitoring, avoid a monitoring blind area of a traditional sensor and accurately capture impact information.

The invention belongs to the field of computer-aided design, and provides a computer-aided design method and system for an experiment table, and the method comprises the following steps: constructing a three-dimensional model of the experiment table; loading the three-dimensional model of the experiment table into finite element analysis software, and performing mesh generation on the three-dimensional model of the experiment table through a mesh generation algorithm to obtain an experiment table finite element model; identifying a support column area of the experiment table finite element model to obtain a support column area finite element model; a vibration danger area is screened out through the support instability area; and marking the position, corresponding to the three-dimensional model of the experiment table, of the vibration danger area. According to the auxiliary design method provided by the embodiment of the invention, the problem of support instability caused by vibration in the experiment process of the experiment table can be solved, the stability of the experiment table in the experiment process is improved, and the influence on the experiment operation or the experiment result due to the support instability problem in the experiment process is avoided.

The invention discloses a reticulated shell structure model generation method and device and a product, relates to the technical field of building structure optimization, and aims to solve the problems of material waste, overlarge structure weight, low construction efficiency and difficulty in manufacturing complex nodes in the prior art. The method comprises the following steps: modeling a latticed shell structure by utilizing a parameterized modeling tool, carrying out geometric form-finding optimization on a basic grid form by utilizing a geometric form-finding optimization tool, further optimizing the optimized grid form by adopting a grid optimization tool, and optimizing the node number and the material consumption of the latticed shell structure by adopting an optimization algorithm; carrying out structural simulation analysis on the optimized grid form in finite element analysis software, and evaluating stress distribution and structural deformation; topological optimization software is used for carrying out topological optimization on the form and the stress condition of the latticed shell nodes, and the optimized nodes are manufactured through the additive manufacturing technology. By means of the method, the material utilization rate can be effectively increased, structural light weight is achieved, the structural weight is reduced, and the construction efficiency is improved.

The invention discloses a beam structure fault intelligent diagnosis method based on a DIC and a CNN. The method comprises the steps that a beam structure model is established in finite element analysis software, a plurality of node positions corresponding to DIC measuring points are arranged on the surface of a structure, loads are applied, time domain vibration response signals of the multiple measuring points are extracted, and Gaussian white noise is superposed; performing wavelet packet analysis and multi-band adaptive noise reduction on the acquired multi-channel vibration signals, judging the energy distribution characteristics of the signals by using the change rate of wavelet energy entropy, and adaptively adjusting the length of a segmented window to decompose original non-stationary signals into a plurality of stationary time periods; the inherent frequency, the damping ratio and the vibration mode modal parameters of the structure are obtained through working modal analysis; and constructing a feature sample set by taking the extracted modal parameters and time domain features as inputs, inputting the feature sample set into a convolutional neural network model for training and prediction, and realizing classification and identification of various states such as structure health, early cracks, middle cracks and late cracks.

The invention provides an engine cylinder cover thermal fatigue virtual test verification method and system, and relates to the technical field of virtual simulation modeling, and the method comprises the steps: obtaining the micro-macro parameter characteristics of an engine cylinder cover; constructing a parameterized model of micro-macro coupling; performing reverse solution on the control parameters of the physical rack based on a target temperature circulation curve set by a user to obtain a boundary condition parameter set required by a virtual test; generating a virtual-real homologous file according to the parameterized model and the boundary condition parameter set; actual measurement temperature data after the physical rack executes the control instruction file and simulation temperature data after the finite element analysis software executes the simulation input file are collected; according to the two-dimensional topological structure of the fire power surface, virtual thermocouple measuring point coordinates are generated; establishing data channel mapping according to the measuring point coordinates of the virtual thermocouple; calculating temperature errors of the plurality of measuring points; when the temperature error exceeds a threshold value, a correction prompt for the measuring point is output; and verifying the parameterized model according to the correction prompt.

Disclosed is a method for determining a convective heat transfer coefficient of a water-cooled magnet coil, comprising: when a current having a predetermined current intensity is introduced into a water-cooled magnet coil, acquiring an actually measured average temperature of the water-cooled magnet coil (S10); in finite element analysis software, simulating introducing the current having the predetermined current intensity into a three-dimensional model of the water-cooled magnet coil, and obtaining, by means of emulation, multiple simulated average temperatures of water-cooled magnet coils corresponding to multiple different wall surface roughnesses (S20); fitting the multiple different wall surface roughnesses and the multiple simulated average temperatures respectively corresponding thereto, and obtaining a fitting function (S30); substituting the actually measured average temperature of the water-cooled magnet coil into the fitting function, to obtain a wall surface roughness corresponding to the actually measured average temperature (S40); substituting the wall surface roughness corresponding to the actually measured average temperature of the water-cooled magnet coil into the finite element analysis software, and obtaining, by means of simulation, a convective heat transfer coefficient of the water-cooled magnet coil (S50). Also disclosed is a system for determining a convective heat transfer coefficient of a water-cooled magnet coil.

The invention relates to the technical field of bridge parametric modeling, in particular to a terrain-adaptive complex bridge parametric modeling method, which comprises the following steps: S1, terrain data acquisition and processing: acquiring high-precision terrain data through a laser radar, unmanned aerial vehicle photogrammetry or a GIS (Geographic Information System), and generating a digital elevation model; s2, bridge parameterization rule definition: inputting bridge main control parameters including a span range, a bridge width, a bridge height, material attributes and a load standard, and constructing an adaptive rule base, S3, parameterization model generation: based on topographic features and the rule base, automatically generating a bridge axis plane line shape and a longitudinal section, and dynamically arranging a bridge pier position, generating a three-dimensional model of the inclined pier column, the pile foundation and the main beam; s4, structural analysis and optimization: exporting the model to finite element analysis software, and verifying stress, displacement and anti-seismic performance; design automation is achieved through the parameterization rule base, the span, the pier column and the main beam are intelligently optimized, and the design efficiency and economical efficiency are remarkably improved.