731 results about "Finite element approach" patented technology

The invention relates to the technical field of collaborative optimization, in particular to a geometric parameter collaborative optimization method of a taper hole machining cutter, which comprises the following steps: by constructing a high-fidelity digital twin model, integrating multi-physics field coupling and machine tool dynamic characteristics based on a finite element method, generating a geometric parameter-performance data mapping set and training and calculating an agent model; outputting a Pareto solution set through multi-target global optimization; and constructing a constraint range based on the solution set, and calling a digital twin model to carry out local optimization to obtain an optimal geometric parameter combination. The method comprises a self-correction mechanism: correcting a material constitutive relation and a friction coefficient through experimental data; staged adaptive learning, NSGA-II and DBSCAN clustering are adopted, and the efficiency is optimized along with the method; and a Pareto stability index and transfer learning are introduced, so that the result robustness and the cross-task reusability are improved. According to the method, high-precision and high-efficiency geometric parameter collaborative optimization of the taper hole machining tool can be realized.

The invention discloses a bridge structure optimization method based on BIM and a finite element method, and relates to the technical field of bridge structure optimization. According to the method, the finite element analysis model can be more accurately established, and the design precision is improved. Through finite element analysis and a digital simulation technology, structure response data is rapidly obtained, and design optimization is accelerated; the optimization of the final scheme is ensured by a multi-iteration optimization strategy, the extreme load response is predicted by introducing a machine learning algorithm, a high-risk area is identified in advance, and the overall performance is improved; based on a multi-scale analysis method, the durability and safety of the structure are comprehensively evaluated, weak links are identified, and long-term performance is guaranteed; meanwhile, the influence of environmental factors on material characteristics is considered, adjustment is performed according to climate data, the design scheme is closer to the actual environment, and durability is enhanced.

The invention relates to the technical field of material testing, and discloses a coating performance simulation method based on high and low temperature circulation and prestress loading. The method comprises the following steps: constructing a coating matrix composite geometric model containing a microporous structure by acquiring actually measured working condition data of a pipeline or a part, and quantifying surface roughness and interface curvature characteristics in combination with reverse engineering; a dynamic temperature-pressure coupling equation is generated based on the thermal expansion effect of a high-pressure medium, a micropore optical load is converted into equivalent heat flux density through a ray tracing algorithm, transient boundary conditions of a temperature field and a stress field are associated, a crack initiation path is simulated through an extended finite element method, and a life attenuation curve is predicted in combination with a Paris formula. And material parameters are dynamically corrected based on experimental data, and a multi-parameter collaborative optimization model is generated. According to the method, the problems of interface stress evaluation distortion and life prediction deviation under the combined load are solved, and multi-physics field co-simulation support is provided for coating compression resistance optimization.

A solid structure deformation and damage analysis method based on a quasi-bond finite element method comprises: carrying out geometric modeling on a target structure body, and distribution and subdivision to generate a grid of a traditional finite element method; dividing the target structure body into a finite element region and a quasi-bond region, and calculating a finite element region system stiffness matrix and a quasi-bond region system stiffness matrix to obtain an overall stiffness matrix of the target structure body; setting a boundary condition for the target structure body, applying an external load, and calculating a system force matrix under current load and boundary state; and judging a quasi-bond breakage condition according to a node trial displacement, then calculating a node displacement of the structure body and an equivalent damage parameter at each node, and outputting cloud charts of a displacement field and an equivalent damage field.

The invention discloses a bronze ware ornamentation and pattern digital restoration method based on an image enhancement technology, and relates to the technical field of image restoration, and the method comprises the steps: building a space mapping matrix; extracting multi-modal data features by using the surface state of the topological insulator, and registering a joint data volume; forming a super-resolution image through super-resolution reconstruction; obtaining a material degradation coefficient by using a wavelet finite element method and a graph neural network; generating an adversarial network by utilizing physical constraints, and generating an embarrassment repairing result; a material sensing three-dimensional model is constructed by adopting a wavelet packet decomposition and neural radiation field fusion technology, texture mapping is dynamically adjusted based on a graphene Moire effect, and virtual-real fusion is performed through holographic waveguide AR; by combining advanced technologies such as a metamaterial lens, micro-distance laser scanning, a topological insulator film, a graphene heterojunction and a nerve radiation field, high-precision three-dimensional digital restoration and repair of bronze cultural relics are realized, and immersive augmented reality display experience is provided.

The invention provides a flexible electronic device multi-physics field coupling performance simulation analysis method, and relates to the technical field of flexible electronics. Firstly, a geometric model of the flexible electronic device is constructed; the geometric model comprises a three-layer assembly structure of an electronic chip, an adhesive layer and a flexible PCB layer, and an interconnection structure; setting electromagnetic-thermal-mechanical field coupling parameters of the geometric model; then, grid division is conducted on the geometric model through a finite element method, and the grid division precision of the area where the interconnection structure is located is higher than that of other areas; building a multi-physics field coupling model according to the geometric model and set coupling parameters; applying load and boundary conditions to the model, wherein the load and boundary conditions comprise a current source, a heat generation load, a convection heat dissipation boundary condition and a mechanical constraint condition; and simulating the working state of the flexible electronic device under the action of multi-physics field coupling in the multi-physics field coupling model to obtain a simulation result. According to the method, the performance and the failure mechanism of the flexible electronic device under the multi-physics field coupling effect can be effectively predicted.

The invention provides a fluid-structure interaction vibration simulation and suppression method for a water-jet propeller, and belongs to the field of numerical simulation of computational fluid mechanics. The method comprises the following steps: establishing a finite element model of a water-jet propeller impeller-shafting coupling system; performing dry mode and wet mode comparative analysis on the finite element model by utilizing a finite element method, and verifying the effectiveness of the model; dividing finite element grids of a structural domain and a flow field domain; establishing a fluid-solid coupling model; on the basis of bidirectional fluid-solid coupling numerical calculation, the flow field speed and acting force are solved through CFD, the structure movement speed and displacement are updated, a flow field grid is further updated, flow numerical calculation continues to be conducted, and iteration is conducted till the simulation time ends; flow-induced vibration characteristics are analyzed through post-processing, and the vibration amplitude is restrained by adjusting the mass center position of the impeller airfoil. According to the method, the bidirectional fluid-solid coupling model of the impeller-shafting system of the water-jet propeller is constructed, structural deformation and transient flow field information are directly associated, and the hydrodynamic performance is improved.

The embodiment of the invention discloses a transformer transient temperature rise prediction method and device and a storage medium, and the method comprises the steps: constructing a two-dimensional model, calculating the magnetic flux density distribution conditions of a transformer iron core and a winding under a first preset load rate condition, and further obtaining an iron core loss value and an eddy current loss value of the winding, the method is used as heat source excitation of a temperature-flow field of the transformer, a step type function is adopted for representation and is substituted into a heat flow field coupling calculation model, electromagnetism, fluid mechanics, heat transfer theory and a finite element method are involved, and the problem that transient temperature rise simulation calculation of the dry type transformer under different load rates is difficult to converge can be effectively and accurately solved.

A whole ship strain field rapid reconstruction method using ship motion and discrete strain information can rapidly reconstruct a whole ship structure strain field through fusion analysis of ship motion information and finite discrete strain monitoring data, and provides a more reliable reference basis for ship structure safety assessment and auxiliary decision making. The method comprises the following steps: firstly, acquiring ship motion monitoring data, and establishing a wave time-frequency parameter inversion Kalman filtering model based on ship motion information; secondly, according to the wave height obtained through inversion, the wave pressure load on the surface of the ship body is solved by combining phase parameters and relative positions of the wave surface and the ship body; thirdly, establishing a whole ship structure strain field dynamic reconstruction artificial intelligence model fused with a physical information neural network-finite element method, and formulating a layout strategy of measuring points; and finally, performing network parameter optimization on the PINN-FEM strain field reconstruction model by using strain monitoring data of finite discrete measurement points, and improving the overall calculation precision of the model.

The invention relates to the technical field of power distribution network communication, in particular to a power distribution network communication method and system based on a remote access network, and the method comprises the steps: recognizing an attenuation fault point caused by the bending stress of an optical fiber; performing optical fiber signal transmission quality evaluation through the attenuation fault point to obtain a signal transmission quality index; simulating the non-uniform distribution of the refractive index of the optical fiber by using a variational finite element method to obtain an inter-mode energy coupling change rule; performing dynamic power pre-compensation on the optical fiber link quality based on the inter-mode energy coupling change rule and the signal transmission quality index to obtain an optical power compensation amount; and connecting a master station in the distribution automation system with a measurement and control terminal of a remote access network through a communication link, and performing compensation control on the communication link according to the optical power compensation amount. By introducing the dynamic power pre-compensation technology, the change of the link state can be quickly responded, and the continuity and stability of the communication link between the main station in the distribution automation system and the measurement and control terminal of the remote access network are ensured.

The invention relates to the technical field of structural design, and discloses a topology and size joint optimization design method and system for a hierarchical composite structure, and the method comprises the following steps: dividing a structural domain into a plurality of hierarchical sub-domains, defining the size constraint range of each sub-domain, and distributing a multi-phase material for each sub-domain; grid discretization processing is carried out on the structural domain, a topological design variable is given to each discrete unit, acoustic unit modeling is carried out on the sound field domain, sound pressure boundary conditions are defined, and coupling boundary conditions are applied to the interface of the sound field domain and the structural domain; solving an acoustic-structure coupling equation based on a finite element method, calculating an objective function and constraint conditions, analyzing the sensitivity of the objective function to topological variables by adopting an adjoint method, and iteratively updating the topological design variables through an optimization algorithm until a convergence criterion is met; and on the basis of a topological optimization result, constructing a neural network agent model of an input layer, a hidden layer and an output layer, and carrying out global optimization on sub-domain size parameters by adopting a genetic algorithm so as to minimize a target function.

The invention discloses an energy storage battery thermal runaway damage diffusion early warning method based on a dynamic thermal model, and relates to the technical field of battery safety monitoring, and the early warning method comprises the specific steps: multi-source parameter collection: arranging a plurality of sensors to collect data, and preprocessing and storing the data; thermal stress modeling is conducted, units are divided through a finite element method to calculate thermal stress, and structural damage is judged in combination with a damage threshold value; multi-physics field cooperative calibration is carried out, and characteristic quantity is acquired and substituted into a formula to correct thermal stress; dynamic thermal model construction: introducing thermal stress influence to construct a model containing a damage diffusion term; thermal runaway early warning judgment is carried out, a multi-dimensional index system is constructed, a risk value is calculated, and early warning is triggered; through a multi-source parameter acquisition technology, in combination with temperature, current, voltage, ultrasonic wave and broadband impedance multi-dimensional sensor data, and assisted by external condition monitoring of environment temperature and humidity, heat dissipation system flow and rotation speed, comprehensive perception of the working state of the battery is realized, and richness and accuracy of data acquisition are improved.

The invention provides a residual stress prediction method considering ultrasonic peening process parameters of a welded joint, and the method specifically comprises the following steps: carrying out thermal-mechanical coupling simulation of a welded structure based on a finite element method, obtaining a residual stress field of the welded structure, taking the residual stress field as initial stress, and building an ultrasonic peening processing finite element model; on the basis of a hypercube Latin sampling method, a parameter combination sample is extracted, corresponding residual stress data after ultrasonic peening are obtained through simulation, and a residual stress prediction function model containing an undetermined coefficient is established with ultrasonic peening parameters as independent variables. And based on a particle swarm optimization algorithm, training to obtain an undetermined coefficient value which enables a prediction effect to be optimal, and completing establishment of a prediction function model. Therefore, the optimal process parameter combination of ultrasonic peening can be obtained so as to improve the mechanical property of a welded joint. According to the residual stress prediction method considering the ultrasonic impact process parameters of the welding joint, a basis is provided for improving the service performance of a large-scale thin-wall part welding structure.

A personalized prediction method for the curative effect of a corneal cross-linking operation comprises the steps that a high-resolution OCT image and a corneal topographic map of a patient are obtained, and a personalized three-dimensional eyeball model containing cornea and sclera parts is constructed; based on clinical data, establishing a biomechanical material model of the cornea, a keratoconus progress model and a cornea cross-linking mechanism model; constructing a finite element model of the eyeball through grid division and boundary condition determination; a corneal crosslinking operation is simulated by using a finite element method and an artificial intelligence technology, a real-time prediction system is constructed, and a postoperative curative effect prediction result is generated. According to the method, on the basis of real patient data, numerical simulation and artificial intelligence technologies are combined, personalized real-time prediction of the operation curative effect is achieved, preoperative patient science popularization education, doctor treatment decision selection and remote medical treatment are assisted, and the accuracy and the personalized level of operation planning are remarkably improved.

The invention discloses a prestressed beam simulation method, system and device based on a vector type finite element, and relates to the technical field of finite element simulation, and the method comprises the steps: building a prestressed beam numerical model through a vector type finite element method; dispersing the prestressed beam numerical model into a plurality of nodes and a plurality of prestressed beam units; calculating a stiffness matrix of each prestressed beam unit; determining a control equation of each node based on the stiffness matrix; and solving the control equation of each node by adopting a central difference method, and updating the state of each node according to the solving result to finish the simulation of the prestressed beam. The method can achieve the simulation of the complex behaviors of the prestressed beam, and is high in calculation efficiency and good in calculation stability.

The invention relates to the technical field of geophysical exploration, and particularly provides a three-dimensional finite element transient electromagnetic forward modeling calculation method based on an iterative solution method.The method comprises the steps that tetrahedron space discretization is carried out based on a vector finite element method, and an electric field is given to six edges of a space tetrahedron; constructing a back-pushing Euler finite element equation set, and assembling a linear system formed by a large sparse matrix based on the equation set; performing iterative solution on the linear system based on an FGMRES algorithm to obtain an electric field value corresponding to a spatial tetrahedron unit edge; optimizing a spatial tetrahedral mesh based on a quadratic nesting method, and optimizing a time step length based on a third-order backward Euler difference format; a grid pre-encryption method is adopted, the calculation error of iterative solution is reduced, a region decomposition method is used for achieving parallel calculation, and the calculation efficiency is greatly improved. According to the method, the requirements of high precision and high efficiency in three-dimensional transient electromagnetic forward modeling calculation can be met, and an advanced calculation tool is provided for resource exploration in a complex geological environment.

The invention discloses an overlapped finite element method-based underwater target low and medium frequency sound scattering field forecasting method, which comprises the following steps of: generating a virtual node in an overlapped finite element, distributing a group of quadratic complete shift polynomial basis functions in a local analysis domain of each field node to construct local field approximation, and multiplying the local field approximation by a unit decomposition function of the overlapped finite element, constructing a high-order overlapping finite element approximation function; the method comprises the following steps: cutting off an infinite fluid domain by using an artificial boundary, and introducing a Dirichlet-to-Neumann mapping technology to realize a non-reflection boundary condition. For the problem of underwater target sound scattering in middle and low frequency bands, an overlapped finite element numerical calculation model of elastic target sound scattering is established. According to the method, high-order field variable approximation is realized by using the standard low-order finite element grid, the numerical dispersion error and the numerical anisotropy are effectively inhibited, and the low and medium frequency sound scattering field of the elastic target in the infinite water area can be accurately forecasted.

The invention discloses a modeling and optimizing method for a thermal resistance network of a high-power semiconductor module. The method is based on an electricity-heat-fluid field dynamic coupling simulation technology, the turbulence state is judged through Reynolds numbers, and the enhancement effect of fluid flow on heat transfer is quantified in combination with a standard k-epsilon model and a Navier-Stokes equation; a module thermal resistance curve is extracted through transient simulation, thermal resistance parameters are fitted through a high-order Foster model, a thermal resistance network model containing self-heating impedance and coupling thermal impedance is constructed, and matrix representation of temperature distribution in a multi-chip heat source coupling scene is achieved. Loss parameters are further corrected through iteration in combination with experimental data. Experimental results show that the model has high precision in the aspect of junction temperature prediction, and the calculation efficiency is remarkably improved compared with a traditional finite element method. The invention provides a high-precision and low-complexity solution for the thermal management design of the high-power semiconductor module, and can be widely applied to the fields of new energy automobile electric control systems and high-density power electronic equipment.

The invention relates to the technical field of powder machines, in particular to an intelligent control method and system for a powder forming machine. The method comprises the steps that powder material parameters and mold parameters are obtained, the powder material parameters comprise particle size distribution, yield strength and a friction coefficient, and the mold parameters comprise mold geometric parameters; based on a discrete element method, particle dynamic analysis is conducted on the powder material parameters, particle mechanical motion characteristic data are generated, and the particle mechanical motion characteristic data comprise particle position data, speed data, contact force data and force chain distribution data constructed by the contact force data; based on a finite element method, structural mechanics analysis is conducted on the mold parameters, mold macromechanics response data are generated, and the mold macromechanics response data comprise stress distribution data, strain distribution data and displacement distribution data; and according to the particle mechanical motion characteristic data and the mold macromechanical response data, generating a powder pressing path control instruction of the mold.

The invention provides a novel coal mining method for an open-air well-to-well worker. The novel coal mining method comprises the following steps: stoping by a slope coal mining machine; filling a mining cave, determining a filling process, selecting one of pumping filling, waste rock throwing machine filling or side upper part drill hole conveying filling in the filling process, and selecting filling materials according to a ratio of waste rock to concrete; carrying out slope stability calculation and analysis and slope monitoring, and carrying out mechanical analysis and calculation by adopting a limit equilibrium method and a finite element method. The invention provides a mining process system and complete equipment, including automation of coal mining and transportation, realization of automatic operation and connection of coal, mining and transportation equipment, improvement of coal mining efficiency and efficiency of a filling system, and realization of key technologies and processes of efficient paste filling, and provides an overlying strata stability monitoring control technology and equipment. The intelligent mining site is realized, the scientific and reasonable cooperation of mining, filling and slope stability monitoring is realized, and the connection is orderly and efficient.

A worm and worm gear pair heat-fluid-solid coupling analysis method comprises the following steps that 1, a heat-fluid-solid coupling simulation analysis model of a worm and worm gear pair is built, and a three-dimensional geometric model is built based on the worm and worm gear meshing principle; 2, parameterized grid division is carried out on the simulation analysis model, a tetrahedral unstructured grid is adopted for a fluid domain, and a worm and worm gear tooth surface area is densified; 3, based on the fluid dynamics theory and an RNG # imgabs0 # turbulence model, establishing an oil-immersed lubricating oil gas two-phase flow transient simulation model, and solving fluid dynamic pressure and a convective heat transfer coefficient through a pressure-speed coupling algorithm; 4, establishing a three-dimensional transient dynamic simulation model based on a solid mechanics theory, combining a temperature-stress coupling field equation, adopting an explicit dynamic algorithm, and iteratively solving thermal deformation and stress strain of the worm and the worm gear through a finite element method; and 5, bidirectionally transmitting the pressure of the fluid domain, the convective heat transfer coefficient and the thermal deformation data of the solid domain through the fluid-solid interface, and carrying out iterative solution until convergence.

To provide a quenching simulation method for steel with high accuracy.SOLUTION: Provided is a quenching simulation method for steel, comprising: a calculation section 1 calculating a distribution of temperatures by a heat conduction analysis using a finite element method after inputting each of steel phases and physical properties at each of steel temperatures to separate a shape model; a calculation section 2 calculating distribution of strain or stress by an elastoplastic analysis; a calculation section 3 calculating distribution of phase fraction through calculation of a basic equation representing phase transformation; and a calculation section 4 calculating distribution of cooling speed from time change of temperature of each of elements, the method comprising a step of carrying out coupled analysis using phase transformation parameters of the steel calculated from the cooling speed calculated with the calculation section 4 on a procedure to calculate the phase fraction in the calculation section 3.SELECTED DRAWING: Figure 1

The invention relates to a transformer vibration reduction method based on particle damping, which comprises the following steps of: finding out the maximum vibration deformation position of a transformer by using modal analysis, arranging a hole-shaped cavity on a radiating fin of the transformer, and filling particles in the hole-shaped cavity; the vibration reduction amplitude values corresponding to the multiple sets of design parameters are obtained through simulation, iteration is conducted on the design parameters by establishing a linear regression model, and the design parameters with the optimal vibration reduction effect are obtained on the premise that the structural rigidity is met; the hole-shaped cavities in the cooling fins extend from the sides, away from the transformer, of the cooling fins to the transformer, and the cooling effect of the cooling fins cannot be affected. A discrete element method and a finite element method are used for conducting simulation analysis on various particle dampers of different design sizes. And after a result is obtained, establishing a regression model by utilizing data obtained by simulation, optimizing parameters, and carrying out iterative simulation to obtain an optimal scheme.

The invention provides a rapid modeling simulation method based on a time domain hybrid finite element method and a circuit simulator SPICE. The rapid modeling simulation method is used for analyzing transient linear / nonlinear and passive / active complex microwave network circuit models on a PCB. The method comprises the following steps of: constructing an electromagnetic module of a microwave network circuit in computer aided design software, writing an SPICE netlist of the circuit module, and realizing interaction between the electromagnetic module and the circuit module through voltage and current defined on a lumped port, so as to obtain a complete circuit structure; in the electromagnetic part, a modal order reduction technology based on a second-order Arnoldi algorithm is adopted to reduce the order of a wave equation to a low-dimensional Krylov subspace for solving, and the data interaction process of the electromagnetic part and the circuit part in each time step length is obviously accelerated; in the time domain hybrid finite element method, the tree-cotree technology is adopted to overcome the problem of low-frequency breakdown or high-density breakdown occurring in the time domain finite element method; a circuit simulator SPICE enables a joint simulation algorithm to be powerful, and a complex multi-port circuit can be simulated.

The invention discloses a finite element method for calculating an airfoil lift coefficient based on a potential flow theory, and belongs to the field of aircraft airfoil aerodynamic characteristic calculation and analysis. The method comprises the following steps: giving geometric information of an airfoil; determining an airflow area according to the geometric information of the airfoil; a gap is formed in the airflow area, and no airflow exists in the gap; taking the air flow area without the gap area as a solution domain; taking superposition of uniform incoming flow and pure circular flow as an undisturbed flow field to determine boundary conditions of the solution domain; a series of circulation values are given, the solution domain and the boundary conditions are combined, a potential flow control equation is solved by applying a finite element method for each circulation value, and a corresponding speed potential is obtained; and determining a real circular rector value by utilizing a Kutta condition, and calculating the lift coefficient of the airfoil profile according to the real circular rector value. According to the method, it is possible to obtain the airfoil lift coefficient by solving the potential flow control equation in the finite element framework, and the method is high in solving efficiency and easy to operate.

The invention discloses a ship shafting reliability evaluation method and system based on multiple working conditions, and the method comprises the steps: collecting multi-source data of a ship propulsion system through integrating multiple sensors; constructing a dynamic load spectrum based on a time-varying Copula function in combination with parameters such as a stress distribution function and a degradation amount distribution function; a reduced basis finite element method is adopted, experimental strain data are collected, and a reduced-order basis matrix is constructed; based on a three-stage Wiener degradation model, in combination with parameters such as a material degradation rate, activation energy and a temperature average value, the residual life of the ship propulsion system is predicted, and model parameters are adjusted in real time through a Bayesian dynamic updating mechanism; building Hamiltonian through physical constraint reinforcement learning, and optimizing operation parameters of the ship propulsion system in combination with a fault probability threshold value and an energy change rate threshold value; a digital twin engine is utilized to provide real-time visual output. According to the invention, the service life is prolonged to the greatest extent while the system meets the performance requirements; and monitoring and decision making by operators are facilitated.

The invention relates to the field of constructional engineering and structural design, and discloses a fabricated steel structure thermal expansion analysis and calculation method based on a finite element method.The fabricated steel structure thermal expansion analysis and calculation method comprises the following steps that fractal parameters are inversely optimized by constructing a thermal-force coupling equation and introducing an adjoint equation, errors of a temperature field and a displacement field are iteratively calculated, and the fractal parameters are updated; the convergence condition is met; the adjoint equation comprises an adjoint equation of a temperature field and an adjoint equation of a displacement field, and is used for calculating the gradient of the fractal parameter and performing back propagation optimization; in each iteration, recalculating the fabricated steel structure thermal expansion analysis model based on the updated fractal parameters, and judging whether a convergence condition is met or not; and finally outputting the optimized temperature field, displacement field and fractal parameters through repeated iterative optimization. According to the method, the calculation efficiency and optimization precision of thermal expansion analysis can be improved, the safety, stability and reliability of the steel structure under the thermal action are ensured, and the method is suitable for automatic analysis and optimization of a large-scale structure.

The invention discloses a new energy automobile speed reducer efficiency optimization system based on multi-physics field coupling, and belongs to the technical field of new energy automobiles. The system constructs a structure-heat-fluid multi-physics field intensity coupling simulation model: firstly, the structure-heat model calculates friction heat generated by gear engagement based on a finite element method; then, the heat source is input into a heat-fluid sub-model to calculate a whole machine temperature field and oil stirring loss; the key point is that the temperature field can perform bidirectional feedback to update material attributes, lubricating oil viscosity and thermal deformation in real time, and a high-fidelity coupling solution is obtained through iterative solution. Based on the precise model, the system adopts intelligent optimization methods such as a genetic algorithm to carry out iterative optimization on variables such as gear parameters or lubricating oil viscosity, and outputs a design combination enabling the comprehensive efficiency to be optimal. According to the invention, the strong coupling effect among force-heat-fluid is accurately simulated, the deviation of traditional decoupling analysis is overcome, and the efficiency of the speed reducer and the energy efficiency of the whole vehicle can be systematically improved.

The invention belongs to the field of winding temperature control, and relates to a PCA-FCNN-based converter transformer valve side winding oil flow temperature rise calculation method, which analyzes a thermodynamic conduction process in a valve side winding, determines a characteristic variable having the highest correlation with a temperature field, performs high-correlation characteristic variable parameterization setting by using Latin hypercube sampling, and calculates the oil flow temperature rise of the valve side winding. A valve side winding flow-heat coupling calculation model is established, and finite element calculation software is used for flow-heat coupling calculation; constructing a data set of a calculation model by taking the parameterized characteristic variable as an input characteristic quantity and taking the valve side winding oil flow temperature rise calculated by a finite element as an output characteristic quantity, dividing the data set into a training set and a test set, and generating a valve side winding oil flow temperature rise rapid calculation model with relatively high precision by setting model training parameters; a validation set other than the model data set is set to validate the accuracy of the computational model. According to the method, the required calculation time is shortened by about 300 times compared with the calculation time of a finite element method, and the calculation speed of the oil flow temperature rise of the valve side winding is increased.

The invention discloses a high arch dam deformation state fractional order numerical analysis method and module, and relates to the technical field of hydraulic structure service state analysis and computational mechanics. The method comprises the following steps: establishing a high arch dam body and dam foundation fractional order rheological mechanical element model by constructing a fractional order characterization method of attenuation rheological, steady-state rheological and accelerated rheological in a three-dimensional stress state; calculating an internal stress increment, a viscoelastic strain increment, a viscoplastic strain increment and a deformation increment in a delta tn time period by adopting a front difference formula according to the stress, the viscoelastic strain, the viscoplastic strain and the deformation at the tn moment by virtue of an increment finite element method, so as to obtain the stress, the strain and the deformation at the tn + 1 moment; and repeatedly calculating to obtain the stress, strain and deformation of the high arch dam in the analysis time period. According to the method, the nonlinear rheological effect of the dam body and the dam foundation of the high arch dam is objectively described, scientific deformation property numerical value quantitative analysis is achieved, technical support is provided for safety monitoring and dangerous case early warning of the in-service high arch dam, and the method has wide application prospects and market prospects.