421 results about "Element modeling" patented technology

The invention discloses a visual data-based automatic finite element modeling and performance evaluation method for an existing damaged hollow slab girder bridge. The method comprises the steps of S1, acquiring complete three-dimensional point cloud data of a multi-beam-slab model; s2, based on the three-dimensional point cloud data, extracting key geometric features of the structure by adopting a structure three-dimensional size automatic measurement method fusing plane projection and point cloud distortion correction; s3, for the damaged area of the multi-beam-slab structure, identifying the boundary of the damaged area and the non-damaged area of the multi-beam-slab structure through a point cloud neighborhood point height difference comparison and clustering analysis method, and carrying out detailed spatial position analysis on the damage; and S4, a damage unit set is automatically retrieved in combination with damage positioning quantitative information, and automatic updating of hinge joint damage of the multi-beam-slab structure is achieved through a life-death unit method failure damage area finite element grid. According to the method, automatic finite element modeling and evaluation of the existing hinge joint damage multi-beam-slab structure are achieved, and an efficient and accurate technical means is provided for health monitoring and performance evaluation of a bridge structure.

The invention belongs to the technical field of nerve regulation and control, and discloses a portable noninvasive brain deep electrical stimulation system based on time interference, and the system comprises an electroencephalogram signal collection unit which is used for obtaining an electroencephalogram signal in a high-quality resting state, and carrying out the signal preprocessing and feature extraction, thereby obtaining an optimal stimulation envelope frequency; the personalized finite element modeling unit is used for constructing a head personalized model and outputting optimal electrode configuration and stimulation parameters for a target brain region target spot; the electrode positioning and stimulation execution unit is used for realizing accurate positioning of an electrode position and implementing time interference electrical stimulation; the MCU unit is used for realizing data management, task scheduling and remote communication; the human-computer interaction unit is used for realizing visual treatment flow and parameter setting; and the power supply management unit provides stable working voltage for the system. According to the invention, the portable, intelligent and personalized modeling of the electrical stimulation treatment equipment is realized, and the precision and efficiency of nerve regulation and control are remarkably improved.

The invention discloses an in-vitro bionic mechanical testing system and method for spinal skeletal muscles, and particularly relates to the field of mechanical testing, and the system comprises a bionic construction module, a finite element modeling module, a multi-axis mechanical loading module, an iterative calculation module and a correction module; through modular design, the system comprises a vertebral body unit, an intervertebral disc simulation assembly and a skeletal muscle simulation unit, each assembly is customized according to anatomical features of a human body, a finite element modeling module is utilized to generate a three-dimensional model, a multi-directional mechanical load is applied, and response data is collected; experimental data are input into the finite element model for iterative calculation, so that stress distribution, a strain field and kinematic deviation are compared; if the error exceeds a preset threshold value, the model parameters and the physical parameters are corrected until the experiment and simulation results converge; and finally, based on the optimized finite element model, predicting a failure mechanism of the spinal skeletal muscle under a complex load, and evaluating the risks of fracture, hairline fracture, nucleus pulposus protrusion and muscle strain.

The invention discloses a bridge network anti-seismic performance rapid evaluation method based on capability spectrum analysis. The method comprises the following steps: firstly, carrying out finite element modeling on bridges in a regional bridge network needing to be analyzed by using OpenSees, extracting piers, and carrying out vulnerability analysis on the piers; a bridge vulnerability curve is obtained based on a capacity spectrum method, then the failure probability of the bridge in a certain damage state serves as a post-earthquake damage index, and the bridge failure probability is replaced by the post-earthquake failure probability of the corresponding road section; after the post-earthquake failure probability of each road section exists, all paths between a starting point and an ending point, namely, to-be-researched OD pairs in a network area are analyzed, the passing probability of each path after the earthquake is calculated based on the Bayesian theorem and an event independence calculation method, all the paths under the OD pairs are sorted according to the passing probability, and therefore the optimal passing path is obtained; and the path with small passing probability is avoided. According to the invention, a scientific basis is provided for regional bridge network anti-seismic planning and emergency management.

The invention provides a finite element-based method for estimating pulling-out ultimate bearing capacity of a grouting screw anchor in gravelly soil, and relates to the technical field of civil structure engineering.A three-dimensional finite element model containing the grouting screw anchor and surrounding gravelly soil is established, model parameters cover the structure and material characteristics of the grouting screw anchor, and the grouting screw anchor and the surrounding gravelly soil are subjected to finite element modeling; a coordinate axis is established with the center of the anchor bottom as an original point for grid division, a stress concentration area is analyzed, principal stress is calculated to serve as critical bearing stress, vertical pull-out loads are applied step by step through a grouting pull-out test, a pull-out stress influence area is determined, soil stress of the area is analyzed, and soil binding power and friction force are calculated. And a grouting coefficient and a rock crack coefficient are generated, soil parameters are corrected, and the ultimate pulling bearing capacity of the grouting screw anchor is comprehensively obtained. According to the method, the pulling ultimate bearing capacity of the grouting screw anchor is accurately evaluated by establishing the three-dimensional finite element model and the graded loading experiment.

The invention discloses a stator blade shape-following frequency modulation design method based on a bending vibration mode and application, belongs to the field of vibration design of stator blades of aero-engines and gas turbines, and is suitable for vibration frequency modulation design of non-cantilever type stator structure blades (such as fans and gas compressor stators) with inner rings and outer rings in the aero-engines or the gas turbines. According to the method, firstly, static frequency and dynamic frequency modal analysis is carried out through finite element modeling, and dangerous resonance points and corresponding vibration modes in a working rotating speed range are recognized by combining a Campbell diagram; based on a vibration mode amplitude normalization result, setting a vibration degree parameter and a scale factor, selecting a high response node and carrying out directed disturbance, and updating a structure model to improve a target vibration mode frequency; and through frequency amplification verification and iterative optimization, geometric reconstruction and frequency modulation confirmation are finally completed in combination with aerodynamic performance and processing requirements. The method can realize rapid and accurate frequency modulation of a specific bending vibration mode, avoids introduction of new resonance, and has the advantages of high efficiency, strong adaptability and the like.

The invention provides a non-intrusive diagnosis method for typical rotor faults of a synchronous phase modifier, and the method comprises the steps: carrying out finite element modeling and fault working condition setting, carrying out simulation to obtain magnetic field distribution data under each working condition, carrying out the extraction and feature analysis of stray magnetic field signals, extracting time domain and frequency domain signals of a stray magnetic field under healthy and various fault working conditions, and carrying out the diagnosis of the typical rotor faults of the synchronous phase modifier. Fundamental wave, odd-even harmonic components and signal change trends are compared and analyzed, stray magnetic field characteristics corresponding to faults are extracted and recognized, diagnosis criterion establishment and fault recognition are carried out, diagnosis criteria and threshold values of rotor turn-to-turn short circuit, dynamic eccentricity and shaft-diameter composite eccentricity faults are established according to the stray magnetic field characteristics, and the fault diagnosis accuracy is improved. And when the specific harmonic amplitude or change characteristic of the stray magnetic field signal exceeds the criterion threshold, determining the rotor fault of the corresponding type and degree. Equipment dismounting or structure reconstruction is not needed, the detection system is simple in structure, internal fault characteristics of the phase modifier can be reflected in real time, and high sensitivity and practicability are achieved.

The invention discloses a virtual reality-based heart three-dimensional model construction and operation simulation guidance system. The system comprises a heart data acquisition module, a heart simulation module and a virtual operation module. A dynamic heart simulation model is constructed through a multi-modal medical data fusion technology, electro-mechanical two-way coupled heart motion simulation is achieved, and an immersive surgery scene is generated in combination with a virtual surgery interaction mechanism. The data acquisition module integrates electrocardiogram, image and physical data to form a database; the heart simulation module generates a dynamic heart model through time-frequency domain analysis, finite element modeling and a time-space coupling algorithm; and the virtual operation module supports real-time instrument operation feedback and operation effect prediction. The system can assist doctors in preoperative planning, intraoperative guidance and postoperative evaluation, and the accuracy and safety of cardiac surgery are improved.

The invention discloses a tire finite element modeling and multidirectional rigidity optimization method and system based on characteristic lines. The method comprises the following steps: extracting tire section characteristic lines from a three-dimensional digital model; introducing the tire section characteristic line into a finite element analysis environment, generating a three-dimensional tire geometric model by rotationally scanning the characteristic line, and performing grid division on the model; setting tire material attributes, performing zoning setting on the model according to a tire crown, a tire shoulder and a tire side wall, and setting tire thickness based on zoning; applying a constraint boundary condition at the center of the tire, and establishing a contact form of the tread and the ground; a progressive inflation pressure load is applied, the deformation state of the inflated tire is calculated, and longitudinal rigidity, radial rigidity and lateral rigidity calculation and analysis steps are set; the tire elasticity modulus and the cord fabric thickness are used as design variables, and an optimization algorithm is adopted to solve a multi-objective optimization function. The method has the advantages of being simple in modeling method and high in practical operability, the tire modeling threshold can be lowered, and the fund and time cost of refined modeling is reduced.

The invention provides a steel bridge automatic finite element modeling method fusing three-dimensional point cloud and intelligent graph recognition, and the method comprises a bridge key construction external information automatic extraction method based on a point cloud model, and the method comprises the steps: carrying out the principal component analysis and transformation of a bridge point cloud principal axis; and secondly, carrying out secondary segmentation on the bridge structural member by using an adaptive threshold algorithm and a region growing RANSAC algorithm, and finally, realizing information extraction of a key carrier surface through a minimization loss function and parameterization expression, and accurately extracting external key parameters. On the other hand, a structure internal information extraction method based on deep learning and drawings is provided. According to the method, geometric dimension measurement and automatic finite element modeling can be automatically completed, reliable digital twin model support is provided for bridge safety assessment, and the method has high engineering application value.

The invention belongs to the field of laser processing and numerical simulation, and particularly relates to a finite element modeling and analysis method for a nanosecond pulse laser target material. The method comprises the following steps: establishing and loading a laser heat source model; establishing a target material finite element model and carrying out grid division; establishing and solving a transient heat conduction equation; carrying out multi-cycle iterative solution and post-processing; and performing model verification and parameter analysis. According to the method, the laser heat source model is established, the adaptive grid encryption strategy for temperature gradient optimization is adopted, and the transient solution algorithm is combined, so that compared with a traditional simplified analysis model or general commercial software simulation, the prediction precision of the target material temperature field spatio-temporal evolution law under the nanosecond pulse laser effect is remarkably improved. The method can accurately predict the temperature distribution and evolution law of the target material under the action of laser, has the advantages of high modeling precision, good calculation efficiency, wide application range and the like, and is suitable for engineering applications such as laser processing and damage evaluation of optical materials and composite materials.

The invention relates to the technical field of material analysis, in particular to a crystal plasticity finite element modeling method, a crystal plasticity finite element modeling device, a storage medium and electronic equipment. The crystal plasticity finite element modeling method comprises the following steps: collecting grain information of a given material sample; performing crystal grain division based on the crystal grain information to obtain a crystal grain data file, and determining grid parameters based on a crystal grain with a minimum crystal grain morphology area in the crystal grain information; creating a grain geometric model according to the grain data file, creating a grid model according to the grid parameters, and mapping the grain geometric model to the grid model to obtain a crystal plasticity finite element grid model; and endowing a boundary condition and a constitutive relation to the crystal plasticity finite element mesh model so as to realize crystal plasticity finite element simulation. According to the crystal plasticity finite element modeling method provided by the invention, the modeling calculation efficiency can be improved while the model precision is ensured.

The invention discloses a solid rocket engine bearing structure lightweight determination method based on a carbon fiber composite material, and relates to the technical field of composite material structure design, and the method comprises the steps: obtaining the structure size and geometric shape of a fixed body; replacing a titanium alloy material with a carbon fiber composite material, and determining a carbon fiber composite material structure response model based on a finite element modeling method; determining an optimal layering scheme based on structural response sensitivity analysis and a multi-objective optimization method; then determining a thickness optimization scheme based on the structural size and geometric shape of the fixed body and load distribution; determining a reinforcement optimization scheme based on a parametric modeling method; determining a metal reinforcement configuration by adopting a structural rigidity-quality collaborative evaluation method; and finally, determining a lightweight structure of the fixed body based on a composite material layering process design method. The mass of the fixing body structure can be reduced, the mechanical property of the fixing body structure is improved, and the high-performance design requirement of a solid rocket engine is met.

The invention belongs to the technical field of discrete element simulation, and particularly relates to a digital twinborn discrete element model construction method based on CT (Computed Tomography) scanning, which comprises the following three steps of: in a CT scanning stage, acquiring a high-resolution cross-sectional image by optimizing scanning parameters, and carrying out image noise reduction and feature enhancement processing; in the structural analysis stage, a segmentation model is constructed based on a deep convolutional neural network, and automatic annotation of a scanned image and intelligent prediction of a three-dimensional space topological relation are realized; in the discrete element modeling stage, the reconstructed three-dimensional grid model is converted into a discrete element model with real physical attributes through parameter calibration, and discrete element simulation is achieved. According to the method, the non-destructive detection advantage of industrial CT and the feature extraction capacity of deep learning are combined, microstructure characterization is converted into macroscopic performance prediction, and a reliable simulation analysis method is provided for performance optimization of the composite material.

The invention discloses a method for solving free vibration of a three-dimensional structure under an equal water depth condition, and relates to the technical field of ocean engineering, the method comprises the following steps: discretizing a geometric model of the structure to obtain a finite element mesh model and a boundary element wet surface mesh model; constructing a boundary integral equation based on the boundary element wet surface grid model and a potential flow theory, introducing a finite water depth mirror image Green function without considering a free surface effect, and solving a flow field velocity potential of a structure in the equation under an equal water depth condition; calculating the additional mass generated by the fluid on the structure when the structure freely vibrates in the flow field based on the flow field velocity potential; and obtaining a free vibration equation of the structure according to the finite element mesh model, adding additional mass, and solving to obtain the vibration intrinsic mode and the vibration frequency of each order of the structure in the flow field. According to the method, the simulation requirement for the fluid-solid coupling effect of the structure in actual engineering can be met, simulation calculation can be carried out only by carrying out finite element modeling on the structure, and certain calculation precision is achieved.

The invention discloses a method and device for predicting abrasive particle impact damage on the surface of a carbon fiber plate, relates to the field of aerospace material performance research, and can solve the problem that the evolution process of damage to the carbon fiber plate caused by micro-scale abrasive material impact cannot be directly observed and obtained in real time at the present stage, and the method comprises the steps that a gas-solid two-phase flow field model in a nozzle is established; setting a discrete phase injection source in CFD simulation software, and determining abrasive particle motion data according to the gas-solid two-phase flow field model in the nozzle after grid division; establishing a three-dimensional model of the abrasive particles in finite element modeling simulation software and carrying out grid division; a carbon fiber plate model is established in explicit dynamics simulation software, the abrasive particle three-dimensional model obtained after grid division is imported into the carbon fiber plate model, the initial impact speed of the abrasive particles on the carbon fiber plate model is set according to abrasive particle motion data obtained through calculation of CFD software, and the damage result of the carbon fiber plate is determined through impact simulation calculation of the abrasive particles on the carbon fiber plate. The method is used for simulating and predicting the damage caused by impact of the microscale abrasive on the carbon fiber plate.

The invention discloses a turbine disc baffle structure optimization method and device, equipment, a medium and a product and relates to the field of turbine rotors, and the method comprises the steps that actual structure information of a turbine disc-baffle rotor system is obtained; performing finite element modeling on the actual structure information to obtain a finite element model; transient thermal analysis and transient stress analysis are sequentially carried out according to the finite element model, and the most dangerous time step where the maximum equivalent stress and the maximum contact stress are located is obtained; establishing a response surface model based on a Kriging model according to the most dangerous time step where the maximum equivalent stress and the maximum contact stress are located and actual structure information; according to the response surface model, a multi-target genetic algorithm is used for optimization, and optimized turbine disc baffle structure information is obtained. Stress concentration is effectively reduced, and the fatigue life is prolonged.

Disclosed is a finite element modeling system and method for hydraulic fracturing problems based on a large language model. The method is implemented by the system. The method comprises: a user inputting a key description of a finite element model desired to be generated; a large language model of a cloud service platform generating a key parameter file; a mesh tool generating a mesh file; a parameter mesh coupling tool generating a finite element model file; a computing server executing the finite element model file, a system output unit prompting the user of completion of modeling and execution, and a display interface displaying a visualized finite element model and an execution result; the user determining whether an expectation is satisfied; if the expectation is not satisfied, the user re-inputting the description; if the expectation is satisfied, the user outputting the finite element model and the execution result.

The invention relates to the technical field of human body three-dimensional modeling, in particular to a human body measurement parameter set-based three-dimensional body surface shape generation method, which comprises the following steps of: S1, establishing a parameterized body surface model T; s2, determining a target anthropometric parameter group # imgabs0 #; S3, determining a transformation relation F based on the parameterized body surface model T and the target anthropometric parameter group # imgabs1 #; S4, constructing and verifying an optimized physical sign parameter beta *; and S5, substituting the optimized physical sign parameter beta * into any pose parameter theta, and changing the body surface geometric space pose of the optimized physical sign parameter beta *. By means of the method, finite element modeling of the human body in any form can be achieved, a statistical regression or condition generation model from one-dimensional measurement parameters to three-dimensional human body shapes does not need to be established, and various downstream human body modeling tasks oriented to sign diversity are achieved.

The invention relates to the field of oil and gas reservoir drilling, and provides a borehole wall stability analysis method for a deepwater shallow long horizontal well, which comprises the following steps: carrying out mechanical parameter test on a weakly cemented rock sample to obtain basic mechanical characteristic parameters; performing time-varying strength modeling on the weak cementation constitutive structure to obtain a damage evolution model; performing three-dimensional finite element modeling on the stratum around the borehole to obtain a numerical calculation model; establishing a control equation set, and discretely solving the control equation set through the numerical calculation model to obtain a field variable solving result; and well wall stability analysis is carried out based on the field variable solving result, and an analysis result is obtained. According to the method, the well wall stability prediction precision of the deep-water shallow-layer long horizontal well is improved, and the safety of well drilling is improved.

The invention relates to the technical field of electronic device assembly, and discloses a heat-conducting colloid evaluation method, device and equipment, a storage medium and a program product, and the method comprises the steps: carrying out the finite element modeling of a target heat-conducting colloid after the target heat-conducting colloid is determined, and obtaining an assembly model of the target heat-conducting colloid; performing finite element analysis on the assembly model based on a preset working condition to obtain an assembly response of the target heat-conducting colloid; and determining whether the target heat-conducting colloid meets a preset design requirement or not according to the assembly response. By performing finite element simulation analysis on the heat-conducting colloid, whether the uniformity design of the heat-conducting colloid is reasonable or not can be quickly, efficiently, accurately and reliably determined in the initial stage of design, and adjustment is performed in time when the uniformity design is unreasonable, so that the optimal scheme is selected during assembly, the quality problem of later test verification is avoided, and the production efficiency is improved. And the problems of over-high temperature and serious thermal failure caused by non-uniform distribution of the heat-conducting colloid due to deformation of the heat-conducting colloid are effectively solved.

This invention discloses a rapid modeling method for large-size composite structures with variable thickness solid meshes based on a yarn model, belonging to the field of finite element modeling of fiber-reinforced composite materials. Its core process includes: for a large-size component S to be analyzed, generating yarn models for each ply partition using composite material design software and batch-dividing triangular meshes; similarly, extracting smooth surface profiles from the three-dimensional geometry of the overall component S and generating a structured shell mesh as the base carrier; then, using a voxel hash-accelerated spatial Boolean intersection algorithm to automatically identify the element sets of each ply partition between each yarn mesh and the overall shell mesh, generating a stepped solid mesh through normal offset, ensuring interface compatibility through node merging, and finally assigning material properties and generating an analysis model that can be directly submitted for solution. This invention significantly reduces manual workload and error risk, providing an efficient and reliable preprocessing solution for the curing deformation and strength analysis of composite material structures.

The invention discloses a thermoelastic topological optimization method for a thermal structure under a thermal stress singular problem, and belongs to the technical field of thermoelastic topological optimization of thermal structures. The method comprises the following steps: firstly, performing finite element modeling and topological optimization on a thermal structure to realize a clear configuration; thirdly, establishing a thermoelastic topological optimization model, and connecting nodes on the original fixed boundary by using a super spring unit to provide weak rigidity constraint; a mechanical displacement component and a thermal displacement component are obtained by superposing the mechanical load equation and the thermal load equation respectively, and a final thermal deformation response is obtained; performing sensitivity analysis according to the thermal deformation response; finally, on the basis of the sensitivity information and a gradient optimization algorithm, carrying out updating iteration on the design variables, and setting a maximum iteration step and a convergence criterion; and deleting the units lower than the threshold after optimization, and retaining the units higher than the threshold to obtain the innovative topological structure after thermal structure optimization. According to the method, the hinge phenomenon, the gray scale problem and the material-free effect of design using fixed boundary conditions can be avoided, and the method is beneficial supplement to an existing thermoelastic topological optimization method.

The invention provides a finite element modeling and analysis method for sacrococcygeal region soft tissue stress, and relates to the technical field of sacrococcygeal region soft tissue stress analysis. Three-dimensional image data of normal sacrococcygeal region soft tissue are collected, and an image segmentation technology is utilized to accurately extract a soft tissue contour; constructing a three-dimensional surface dynamic model based on the extracted soft tissue contour; simulating the deformation attribute of the three-dimensional surface dynamic model when the three-dimensional surface dynamic model is stressed; and measuring the deformation attribute of the soft tissue to be measured when the soft tissue is stressed, comparing the deformation attribute of the soft tissue to be measured when the soft tissue is stressed with the deformation attribute of the three-dimensional surface dynamic model when the three-dimensional surface dynamic model is stressed, and evaluating the supporting force of the soft tissue to be measured.

The invention provides a multi-scale finite element modeling and optimizing method for progressive compression sock design, belongs to the field of medical textile and finite element simulation, and is used for solving the problems of weak multi-scale coupling, one-sided data input, poor scene adaptation and difficulty in small sample modeling in related technologies. According to the method, a macroscopic-mesoscopic-microscopic multi-scale finite element model is constructed, dynamic mechanical and multi-modal data are collected and preprocessed, mechanical-blood flow-thermal-wet multi-physics field coupling simulation is carried out, key parameters are optimized in combination with reinforcement learning, group knowledge and closed-loop feedback, and finally compressed sock design parameters are output. Accurate design of compressed socks can be achieved, and scene adaptability and small sample adaptability are improved.

The invention discloses an anti-seismic property analysis method for a complex high-rise structure. The method comprises the following steps: determining a boundary range of a super high-rise building; the anti-seismic requirement of the over-limit high-rise building is determined, the height limit is determined based on different structural forms, and it is ensured that at least one aspect of the height, the height-width ratio and the body regularity of the house meets specifications and regulations; step 3, structural finite element modeling: based on the general situation of the constructional engineering, simplifying a finite element model to enable the finite element model to be consistent with an actual structure, and establishing the finite element model; 4, analyzing dynamic characteristics of the structure, wherein the inherent dynamic performance of the structure is reflected by the similar characteristics of the structure; and step 5, structural seismic response spectrum applying: applying the seismic response spectrum to the whole structure to research the maximum response of the structure under the seismic load effect of fortification intensity. According to the anti-seismic performance analysis method for the complex high-rise structure, multiple key aspects of super high-rise building boundary range determination, clear anti-seismic design requirements, structural finite element modeling, dynamic characteristic analysis, seismic response spectrum analysis and the like are comprehensively covered, and a set of systematic and complete analysis process is formed; and the anti-seismic performance of the complex high-rise structure can be deeply and carefully analyzed.

The invention discloses a structure feature extraction and model correction system fusing convolution and a self-attention mechanism, relates to the technical field of structure engineering information, and aims at solving the problem that the structure feature extraction and model correction of a cable net structure can be realized by introducing a convolution-self-attention fusion mechanism and a double-domain consistency constraint optimization model in the whole process of cable net structure modeling, feature extraction and parameter correction. And the precision dynamic correction from the finite element simulation data to the actual measurement response data is realized. The output of the finite element modeling subsystem is used as a multilayer objective function, after the principal component screening subsystem extracts a sensitivity principal component, the system extracts a local correlation feature by using a convolutional neural network in a feature extraction stage, and then captures a global dependency feature by a self-attention mechanism, so that the model can pay attention to the micro-scale response of a local structure and also can pay attention to the global dependency feature. And the overall dynamic mode can be identified. Compared with a traditional mode, the disturbance consistency constraint and adversarial training mechanism is introduced, so that the network can still keep stable output under input disturbance.

The invention relates to the technical field of man-machine collaboration, and discloses a man-machine co-fusion model construction method and system suitable for the power industry. The method comprises the following steps: segmenting an initial point cloud model to obtain a target point cloud model containing a plurality of scene minimum units; performing element modeling on the man-machine collaborative operation domain to obtain an operation scene model; modeling the man-machine cooperation task logic in the target scene to obtain a task representation model; performing decision calculation on the operation scene model and the task representation model to obtain a man-machine task division basis, and performing operation sequence generation on the man-machine task division basis to obtain a man-machine co-fusion collaborative operation sequence; and performing interaction rule fusion on the man-machine co-fusion collaborative operation sequence to obtain man-machine co-fusion interaction logic, and performing interaction function integration on the man-machine co-fusion interaction logic to obtain a man-machine co-fusion model. The man-machine co-fusion model constructed by the method can meet the requirement of efficient and safe operation in a complex environment in the power industry.

The invention relates to the technical field of civil engineering and computational mechanics, in particular to a load and environmental corrosion coupled reinforced concrete structure analysis method. The method comprises the following steps: carrying out structural finite element modeling; carrying out mechanical field solving; the diffusion characteristics of the crack-driven corrosive medium are updated; solving a corrosive medium diffusion field; the material performance is corrected; carrying out double-time-domain self-adaptive solution; by means of the mode, the coupling effect of complex loads and multiple environmental factors in the reinforced concrete structure can be comprehensively and accurately simulated within the engineering acceptable calculation cost, and reliable prediction of the full life cycle performance is achieved.

The invention relates to the technical field of computer simulation, in particular to a composite material laying layer loss design and finite element modeling method, which comprises the following steps of S1, acquiring geometric profiles and laying layer information of all laying layer areas of a composite material part through a CATIA interface, and storing the geometric profiles and the laying layer information as an area list; and S2, by using the CATIA geometric processing capability and the interface, quickly geometrically generating a layer laying and layer losing line in the areas, and realizing the display of layer laying and layer losing. According to the method, by utilizing the interface capacity of CATIA and HyperMesh, information reading of a composite material laying layer area, automatic generation and display of a layer loss line and automatic creation of a finite element model are achieved, the problems of low efficiency and poor accuracy in traditional design modeling are effectively solved, composite material laying layer loss design and finite element modeling can be rapidly and accurately completed, and the method is suitable for large-scale popularization and application. And the quality and efficiency of the composite material structure design are obviously improved.