701 results about "Finite element software" patented technology

The invention provides a segmental bridge wind vibration performance evaluation method and system, and relates to the technical field of segmental bridge wind vibration performance. Laser scanning is used for obtaining geometric parameters of a segmental bridge and collecting material characteristics, the geometric parameters and the material characteristics are imported into finite element software, a basic model is established, and boundary conditions are set; modal analysis is executed in finite element software, the natural vibration frequency and the vibration mode are calculated through a Lanczos method, and basic data are provided for wind load analysis; simulating a wind load by using a Davenport wind spectrum, setting a wind speed and a wind direction, and then applying the wind speed and the wind direction to the model; finally, the wind load condition is adjusted, the performance of the bridge under different wind loads is tested, and the displacement, acceleration and stress distribution of the bridge are analyzed and calculated through dynamic response to complete the wind vibration performance evaluation of the segmental bridge.

The invention provides an analysis method and system for dynamic fracture of a quasi-brittle material. The method is used for solving the technical problem that an existing method is insufficient in dynamic fracture capturing capacity in quasi-brittle materials. The method comprises the following steps: constructing a representative volume element RVE of a quasi-brittle material with two embedded fracture planes; a dual-scale model of the RVE is constructed, the dual-scale model comprises a macroscale sub-model and a mesoscale sub-model, and the crack traction force and the displacement jump increment in the mesoscale sub-model meet the rate-dependent cohesive friction law; identifying the parameters of the dual-scale model; and embedding the dual-scale model into finite element software to simulate the dynamic fracture of the quasi-brittle material. The contained mesoscale crack plane has the key characteristics of the dynamic fracture behavior of the quasi-brittle material, and has remarkable advantages compared with a classical empirical model.

The invention discloses a risk determination method and system based on engineering structure failure, relates to the technical field of engineering risk determination, and comprises the steps of establishing an engineering geometric model of an engineering structure by utilizing finite element software, and providing a reliable basis for subsequent assessment of stress concentration coefficients and failure probabilities. And evaluating the fatigue life of the engineering structure according to the stress concentration coefficient, and generating the overall fatigue life of the engineering structure by combining information such as the stress concentration coefficient, the dangerous area type and the fatigue life of the dangerous area. And evaluating the failure probability and the failure criticality of each failure mode, and considering the correlation between the failure modes to obtain an accurate failure probability. The risk value of the engineering structure failure mode is generated based on the fatigue life, the failure probability and the failure criticality, the influence of the fatigue life on the risk of the engineering structure is added, the accuracy and adaptability of risk determination of the engineering structure failure are improved, and safe and stable operation of the engineering structure is ensured.

The invention discloses a vibration noise analysis method for a combined box girder bridge with an axle coupling effect, and belongs to the technical field of bridge engineering. The method comprises the following steps: S1, establishing a train-track-bridge coupled vibration model of a high-speed railway steel-concrete combined box girder bridge, and compiling a train-track-bridge coupled vibration simulation analysis program based on a Matlab language and Ansys finite element software; s2, establishing a low-frequency noise prediction model in the steel-concrete combined box girder bridge of the high-speed railway, and obtaining a low-frequency noise radiation rule of a bridge structure; s3, establishing a medium-high noise prediction model of the steel-concrete combined box girder bridge of the high-speed railway, and performing numerical simulation on medium-high frequency radiation noise of a bridge structure; and S4, analyzing the influence parameters of the vibration noise of the steel-concrete combined box girder bridge of the high-speed railway in combination with the models established in the steps S1 to S3. The technical scheme is used for analyzing vibration and noise conditions of the steel-concrete composite beam applied to the field of railroad bridges.

The invention relates to a landslide motion analysis method based on unmanned aerial vehicle remote sensing aerial survey and three-dimensional geological modeling, which comprises the following steps: acquiring high-resolution topographic data of a landslide hidden danger area by utilizing a laser scanner technology carried by an unmanned aerial vehicle, and calculating landslide instability failure ranges and stability coefficients under different scenes by utilizing finite element Geostudio software; and taking the stability coefficient as a reduction coefficient of a rock-soil body strength parameter, then determining the rock-soil body strength parameter under different scenes in discrete element PFC software, and realizing three-dimensional failure motion process analysis of the landslide under different scenes by using discrete elements. According to the invention, through PFC software, landslide occurrence scales under different rainfall and earthquake scenes and motion characteristics of landslides of different scales after instability can be compared; large deformation under the fluid-solid coupling condition can be effectively simulated, rock-soil body strength parameters under different rainfall (or earthquake) scenes can be determined, and the landslide three-dimensional motion process under different scenes can be carried out.

The invention relates to the technical field of geotechnical engineering soil parameters, in particular to an HSS model parameter determination method based on static cone penetration cone tip resistance, which comprises the following steps: simulating a pore expansion behavior in finite element software to obtain the ultimate pressure of pore expansion; establishing the relationship between the ultimate pressure of pore expansion and the resistance of the cone tip of the static sounding; performing numerical simulation on HSS model parameters on the basis of the relationship between the ultimate pressure of pore expansion and static sounding cone tip resistance to obtain a series of HSS model parameters and corresponding static sounding cone tip resistance values, and determining the relationship between the HSS model parameters and the static sounding cone tip resistance by using a neural network model; and determining the required HSS model parameters according to the relationship between the HSS model parameters and the static sounding cone tip resistance. According to the method, the determination accuracy of the HSS model parameters is improved by establishing the relation between the HSS model parameters and the static sounding cone tip resistance.

The invention discloses a deep learning-based staged tension prestress long-term loss prediction method, which belongs to the field of deep learning, solves the problem of poor prediction result robustness of a traditional prestress measurement method, and comprises the following steps: obtaining bridge original data based on a standard drawing set and a bridge design specification; based on the construction environment conditions and the concrete age, concrete material attributes are calculated; based on bridge original data and concrete material attributes, finite element software is used for simulating prestressed reinforcement staged tensioning processes under different working conditions, and a bridge prestressed reinforcement staged tensioning loss data set is generated; and constructing a prestress loss prediction model based on the multi-layer perceptron neural network, processing the staged tensioning loss data set of the bridge prestressed reinforcement based on the prestress loss prediction model, and outputting a prediction result of long-term loss caused by shrinkage and creep of the prestressed reinforcement. According to the method, the stress loss of the prestressed reinforcement can be effectively predicted, and the prediction robustness and accuracy are improved.

The invention discloses a composite material microcosmic failure analysis method based on a micromechanical failure theory. The method comprises the following steps: obtaining performance parameters of each component of a composite material according to a composite material component performance test; establishing a finite element mesoscopic RVE model; the rigidity of the interface between the fiber and the matrix is reversely deduced through fitting of experimental data of a macroscopic experiment; applying a periodic boundary condition to the finite element mesoscopic RVE model; a load is applied to the finite element mesoscopic RVE model through ABAQUS finite element software, the failure behavior of the composite material in a complex stress state is simulated, and the stress-strain relation and the mesoscopic failure rule of the composite material in different loading modes are predicted. The method can be applied to composite material mesoscopic failure simulation analysis in axial, transverse and off-axis load, thermal load and composite load forms, can more accurately predict the mesoscopic failure rule of the composite material, and has important significance on research and application of the composite material.

The invention discloses a turbine part elastic digital twinning virtual-real interaction method combining geometric features and Fourier neural operators. The method comprises the following steps: S1, setting material attributes and boundary conditions; s2, finite element data generation and format conversion; s3, constructing and training a prediction model based on a geometric perception Fourier operator; and S4, model prediction and verification. According to the method, finite element software and AI prediction are combined, the turbine parts are subjected to self-defined Fourier transform and geometric coding technologies, the problems that an existing turbine part analysis method is complex in calculation and complex geometric features are effectively processed are solved, a traditional elastic analysis method is optimized, and the method has the advantages of being high in reliability and high in reliability. The method is a technology for improving the analysis precision while reducing the calculation complexity, and is suitable for solving complex geometrical shapes and physical phenomena. The method has a wide application prospect, and can provide efficient calculation support for design optimization, performance evaluation and fault detection.

The invention discloses a structural dynamic response obtaining method for a fixed offshore wind turbine. The method comprises the following steps: establishing an initial finite element model according to related model data of a fixed offshore wind turbine to be tested, correcting the initial finite element model in combination with obtained actually measured modal parameters, and solving a vibration mode function based on the corrected finite element model; solving kinetic energy and potential energy of the to-be-tested wind driven generator structure; and according to the obtained structural kinetic energy and potential energy, a mass matrix, a stiffness matrix and a damping matrix are constructed based on an Euler-Lagrange equation and a basic kinetic equation, so that a dimensionality-reduced structural kinetic model of the offshore wind turbine is established, an inherent frequency value is obtained through solving, and the dynamic response is obtained. The method effectively overcomes the defects that a model is established depending on finite element software to solve the dynamic response in the prior art, and has the advantages that the modeling process is simple, the solving time is short, multi-field coupling load application can be met, and the control technology is easy to implement.

The invention provides a bearing / heat exchange integrated outer duct heat exchanger structure and a design method thereof. The design method mainly comprises the steps of heat exchanger three-dimensional modeling design, computational fluid dynamics optimization design and steady-state thermal stress analysis, three-dimensional modeling software is used for designing an inner flow channel structure and an outer fin structure of an outer duct air heat exchanger, and finite element software is imported. The method comprises the following steps: dividing grids, establishing a finite element model, setting a turbulence model, adding boundary conditions of the external duct heat exchanger, performing fluid flow and heat transfer simulation in the heat exchanger to obtain a fluid dynamic model of the external duct heat exchanger, transmitting temperature field simulation data to the finite element model, and performing steady-state thermal stress simulation to obtain a stress distribution nephogram. And structural performance evaluation is performed in combination with strength analysis. According to the method, the simulation efficiency can be improved on the premise that the simulation precision is not lost, organic combination of design / performance is achieved, and theoretical guidance is provided for structural design of the bearing / heat exchange integrated outer duct heat exchanger.

The invention discloses a concrete arch dam global structural mechanical parameter zoning rapid inversion method, and relates to the technical field of dam operation safety monitoring and management, and the method comprises the steps: building a dam body and foundation three-dimensional finite element model through finite element software according to engineering design and monitoring data, and building a foundation three-dimensional finite element model according to damming material mechanical parameter information; partitioning the three-dimensional finite element model, analyzing the sensitivity of mechanical parameters of each region, determining sensitive mechanical parameters influencing the deformation of the concrete arch dam, and carrying out self-adaptive intelligent sampling on the sensitive mechanical parameters according to a sensitivity analysis result, and constructing a deep learning agent model reflecting a nonlinear relationship between the sensitive mechanical parameters of the dam and the deformation of each monitoring point, and carrying out deep learning inversion on the elastic modulus of the dam body and the deformation modulus of the bedrock. According to the invention, the method can efficiently and accurately invert and determine the structural mechanical parameters of the arch dam in the actual operation period, and provides a good basis for the safety analysis of the dam.

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 belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention discloses a lightning stroke attachment point calculation method of a complex surface flat plate structure, and aims to overcome the defects of an existing lightning stroke attachment point numerical calculation method, and on the basis that finite element software is utilized to construct a typical needle plate model based on an electric field model method, an electrode is moved downwards to simulate the thunder and lightning development process under first guidance. A pilot / corona onset criterion is established based on short-gap discharge and material corona discharge theories, a numerical simulation algorithm is provided for evaluating the lightning protection design of a complex surface flat plate structure, the determination accuracy of the attachment points of the flat plate structure with similar surface material conductivity, complex surface microstructure and no salient points is improved, the attachment point simulation algorithm is optimized, and the method is suitable for application and popularization. And tedious and high-cost test links are effectively avoided.

The invention provides a corrosion fatigue crack propagation life prediction method based on an environmental damage model, and the method comprises the steps: building a corrosion fatigue damage model according to a fatigue damage model considering the effects of maximum stress and plastic strain and the influence of an environmental factor Cenv; carrying out a low-cycle fatigue test and a corrosion fatigue crack propagation test by utilizing the low-cycle fatigue sample and the compact tensile sample to respectively obtain low-cycle fatigue data and corrosion fatigue crack propagation rates under different stress ratios; the damage model is written into a subprogram in a USDFLD user subprogram interface provided by finite element software ABAQUS, corrosion fatigue crack propagation simulation is carried out, and the corrosion fatigue crack propagation rate of the standard compact tensile sample under different stress ratios is predicted. The influence of a fatigue damage model and an environmental factor Cenv is taken into consideration, finite element simulation is carried out in combination with a USDFLD subprogram of finite element software ABAQUS, and corrosion fatigue crack propagation simulation of the structure is achieved. The method is high in universality and easy to master and implement.

The invention provides a method and a system for predicting residual compression strength of a carbon fiber composite material after lightning stroke, and belongs to the technical field of electric digital data processing. According to the method, by considering the pyrolysis degree of the lightning stroke CFRP composite material, the non-linear mechanical property parameters related to the pyrolysis degree actually measured based on the test and the thermal and mechanical damage results predicted based on the electric-thermal-mechanical multi-physics field coupling model are calculated; an actually measured nonlinear mechanical property thermal damage factor and a mechanical damage factor caused by impact damage are introduced into a constitutive relation of the CFRP composite material, and a finite element simulation method capable of quantitatively predicting the residual compression strength after lightning stroke is established by virtue of finite element software ABAQUS; the problems that in the prior art, the influence mechanism of lightning stroke damage on the mechanical property of the CFRP composite material is not clear, and a simulation modeling method capable of being directly used for calculating and predicting the residual compression strength after lightning stroke is lacked are solved.

The invention discloses a high-formwork optimization design method and system based on BIM and finite element analysis, and the method comprises the steps: S100, building a three-dimensional BIM model of a main body structure, and creating an intelligent parameterization frame body family which is mapped with a main body structure family and has a self-verification function; s200, importing a parameterized family and linking the main body model, generating a plurality of groups of frame body arrangement schemes through spatial topology analysis, and performing a three-dimensional collision test after optimization; s300, setting dynamic boundary constraints and construction loads in stages, and generating a geometric and mechanical integrated data packet; s400, data packet parameters are automatically mapped to finite element software through a plug-in, models are built in stages, multi-working-condition analysis is carried out, if the parameters exceed the limit, frame body parameters are modified, iterative optimization is carried out until the parameters meet the standard, and a result is synchronized to a three-dimensional BIM model; and S500, a construction drawing is automatically generated, and visual disclosure and high formwork monitoring point selection are carried out. According to the method, design, computational analysis and construction application data linkage and closed-loop management from design to construction to monitoring are achieved, and the high formwork design efficiency and safety are improved.

The invention relates to a spinning method for an internal tooth-shaped transmission part, which comprises the following steps: in finite element software, establishing a model of a plate-shaped blank and a spinning tool which are the same as those of an actually processed transmission part, and carrying out drawing spinning simulation processing on the plate-shaped blank by using the spinning tool to obtain a cylindrical blank subjected to simulation forming; then a model of the spinning tool is used for conducting single-pass spinning simulation machining on the cylindrical blank, and the simulation rolling reduction needed by the tooth height of the inner tooth profile of the transmission part is determined; and drawing spinning and single-pass spinning are adopted, the transmission part is actually machined by using the rolling reduction, and the transmission part with the inner tooth shape is obtained. Compared with a traditional extrusion, broaching and composite forming method, the spinning method for producing the internal tooth-shaped transmission part has the advantages that the fiber flow direction of an original blank is reserved, the surface quality of the part is high, and the production efficiency is improved.

The present invention relates to the technical field of reactor vibration analysis, and specifically to a vibration state simulation monitoring system for dry-type reactors, the system comprising: assembling parts into a reactor model through the assembly function of drawing software; a model import module, used to import the drawn reactor model into finite element software, and set parameters in each part; a modal analysis module, used to determine and analyze the vibration characteristics of the reactor structure; a diagnosis module, used to obtain the vibration response characteristics of the reactor under power-on conditions according to the vibration characteristics of each part, and find out the vibration signal with obvious fault characteristics. The model of the relationship between the reactor fault and each characteristic quantity of its vibration signal established by the present invention can obtain the vibration characteristics of the reactor during the fault latent period from the model, so as to study the direct or indirect relationship between its latent characteristics and the fault characteristics, and adjust the relevant parameters of the reactor in advance, so as to prevent the occurrence of faults to a certain extent.

The invention provides a fan tower structure optimization method based on finite element analysis, and belongs to the technical field of structure optimization. The method comprises the steps that 1, the design requirement of a target fan tower is obtained, and a three-dimensional finite element model of the target fan tower is established; 2, linear stress analysis is conducted on the three-dimensional finite element model through finite element software, and areas prone to fatigue are recognized; 3, by adjusting prestress structure parameters of the three-dimensional finite element model, iterative optimization is carried out until an area prone to fatigue reaches the aims of fatigue resistance and safety, and a first model is generated; 4, predicting the performance of the first model in a preset service life period by using a fatigue analysis method to obtain a prediction result; and 5, performing inverse optimization on the first model according to a prediction result, and adjusting model parameters of the first model to generate an optimal model. The tower structure is optimized, the tower strength is improved, and the cost is reduced.

The invention relates to the technical field of hydroelectric generators, in particular to a three-dimensional flow field load reconstruction method based on reinforcement learning of a gated circulation unit, which comprises the following steps of: establishing a Python-based finite element secondary development platform, and realizing finite element simulation and obtaining a finite element simulation result; fusing a plurality of simulation characteristic indexes extracted from the finite element simulation result by using a multi-scale model fusion algorithm to obtain a finite element simulation result evaluation index, and optimizing simulation parameters; constructing an initial three-dimensional flow field load reconstruction model based on reinforcement learning of a gated circulation unit, and training the initial three-dimensional flow field load reconstruction model by using the optimized simulation parameters; and based on the trained three-dimensional flow field load reconstruction model, obtaining a reconstructed three-dimensional flow field load. By means of the reconstruction method, automatic simulation of finite element software and full-automatic optimization iteration of a parameter decision and reinforcement learning reconstruction network in the three-dimensional flow field load reconstruction process of the hydroelectric generating set component can be achieved.

The invention relates to a microstructure prediction method of a high-entropy alloy, a directional solidification process optimization method and a preparation method of a high-entropy alloy bar. The microstructure prediction method comprises the following steps: calculating and extracting physical property parameters of the high-entropy alloy through JMatPro software; the physical property parameters are input into parameter setting of COMSOL software, and the induction melting process of the high-entropy alloy is simulated through the COMSOL software until a completely-molten high-entropy alloy melt is obtained; the directional solidification process of the high-entropy alloy melt is simulated through ProCAST finite element software, and the microstructure of the high-entropy alloy under the corresponding technological condition is obtained. According to the method, through joint simulation of JMatPro, COMSOL and ProCAST software, prediction of the whole process from material attributes to the smelting process to the microstructure is achieved, and a more efficient and low-cost technical approach is provided for prediction, research, development and preparation of the microstructure of the high-entropy alloy.

The invention relates to a wind power boosting rotor outfield vibration sound radiation simulation method, which comprises the following steps: based on fluid simulation software Star-ccm +, taking a wind power boosting rotor outer cylinder contour as a rigid wall surface, setting an inlet condition as a wind speed and an outlet condition speed as 0, and calculating outer cylinder contour pulsating pressure; based on structural finite element software Abaqus, a finite element model is established according to the outer cylinder structure of the wind power boosting rotor, pulsating pressure serves as load input, constraint conditions are added, and the vibration displacement of the outer cylinder is calculated; based on acoustic finite element software Actran, node position information of the structural finite element model is imported, an external field acoustic domain is established, and external cylinder external field vibration sound radiation is calculated by taking external cylinder vibration displacement as load input; according to the method, calculation is carried out based on a frequency domain, the real sound wave transmission condition and the actual sound pressure cannot be reflected, and certain limitation exists. Therefore, by adopting the vibration sound radiation time domain simulation analysis method, the vibration sound radiation condition in the time domain can be obtained, and the change of the actual sound pressure along with the time can be obtained.

The invention belongs to the field of technical simulation, relates to a gear bending stress calculation method based on finite element software, and aims to find out structural design weak points and provide a basis for optimal design of a structure and improvement of product reliability. The method comprises the following steps: 1) determining the working load of the gear; 2) for the gear in the step 1), establishing a three-dimensional assembly entity model for gear contact analysis by using three-dimensional modeling software; 3) for the three-dimensional solid model of the gear in the step 2), establishing a two-dimensional assembly solid model of gear contact analysis by using three-dimensional modeling software; (4) according to the gear two-dimensional assembly entity model in the step (3), finite element software with a gear bending stress analysis function is imported, a finite element model is established, and boundary conditions are applied; and 5) according to the finite element model in the step 4), calculating and displaying a calculation result, and checking whether the gear meets the strength design requirement or not. The method is suitable for gear transmission system design.

The invention discloses a multi-billet continuous casting billet rough rolling pass system optimization method based on finite element software, and relates to the technical field of steel rolling casting, and the method comprises the following steps: based on the principle that metal second flow is equal, establishing a digital model of volume flow dynamic balance during rolling of billets with different sections, and quantifying a billet rough rolling deformation rule; carrying out hole pattern modeling of multi-blank pattern switching by utilizing the finite element simulation model, building a cooperative computing framework, and dynamically deploying a finite element computing scheduling task; on the basis of multi-physics coupling analysis, stress-strain characteristics and size evolution rules of the blanks under the condition of multi-dimensional parameters are predicted, a process optimization target is generated, and the requirements of the blanks with different sections are met; and real-time mapping of virtual and real data is established, a process knowledge base is constructed, and regular learning and updating are carried out. According to the method, the finite element software is adopted, so that the rough rolling deformation rule of different section blank types can be simulated more accurately, the shape and the size of a rolled material can be predicted and controlled more accurately, and the accuracy and the reliability of an optimization result are improved.

The invention relates to a water-rich soft soil stratum deep foundation pit dewatering excavation coupling analysis method. The method comprises the steps that an SOIL module on a large-scale commercial finite element software ABAQUS calculation platform is used, a Biot consolidation control equation is adopted to describe the coupling effect of soft soil stress-pore unsteady flow under foundation pit dewatering excavation, a finite element model is established, and in combination with field monitoring experience of foundation pit excavation construction on an adjacent environment influence range, an in-pit dewatering mode is adopted to determine the soft soil stress-pore unsteady flow coupling effect under foundation pit dewatering excavation. The calculation time and the calculation precision are comprehensively considered, and step-by-step refined simulation in the foundation pit construction process is achieved. According to the method, the fluid-solid coupling effect in the dewatering excavation process of the deep foundation pit in the water-rich soft soil stratum can be accurately simulated, the influence of foundation pit excavation on the surrounding environment is effectively predicted, and the engineering safety and reliability are improved.

The invention belongs to the field of nonlinear material mechanics, and particularly relates to a construction method and a simulation method of a hyperelastic constitutive model under global strain, and the method comprises the steps: screening a hyperelastic constitutive model which has description potential for mechanical response characteristics under global strain as a basic model; extracting a strain energy function item in the basic model; and combining the strain energy function items to obtain the hyperelastic constitutive model under the global strain. According to the superelastic constitutive model under the global strain obtained by the construction method of the superelastic constitutive model under the global strain, a user-defined subprogram is written, the user-defined subprogram is called in finite element software, and material parameters are input for simulation. Compared with an existing hyperelastic constitutive model, the method has the advantages that the mechanical response characteristic description capability of an elastomer material under global strain is improved, and a theoretical basis and a technical route are provided for subsequent researchers to construct a new hyperelastic constitutive model based on an elastomer microscopic network structure.

The invention discloses a low-loss planar transformer design method suitable for an LLC resonant converter, and the method comprises the steps: firstly collecting the index parameters of the LLC resonant converter, setting the target parameters of a planar transformer, selecting a magnetic core model meeting the requirements according to an AP method, and then carrying out the design of a winding structure, finally, modeling and simulation of the planar transformer are completed in finite element software, and if the simulation result does not meet the set parameter and loss requirements, selection of the magnetic core model and design of the winding structure need to be conducted again; and if the set parameters and the loss requirements are met, finishing the design.

The invention belongs to the technical field of geological research, and particularly discloses a rainfall infiltration induced loess high fill humidifying settlement prediction method which comprises the following steps: S1, acquiring mechanical property parameters of a soil body under different compaction degrees, and fitting the mechanical property parameters under different compaction degrees and different moisture contents to obtain a fitting function; s2, on the basis of an unsaturated loess fluid-solid coupling analysis principle, transforming the fitting function to obtain a soil body humidification interpolation function under different compaction degrees and different water contents; s3, through Comsol finite element software, the interpolation function is embedded into the soil elastic-plastic constitutive model, and the weakening process of soil strength parameters along with soil humidifying deformation is simulated. By the adoption of the method for predicting the rainfall infiltration induced loess high-fill humidifying settlement, the problem that a loess high-fill foundation cannot be subjected to systematic humidifying settlement prediction aiming at rainfall is solved, and safety guarantee is provided for high-fill foundation engineering.