34 results about "Finite element algorithm" patented technology

The invention belongs to the field of electromagnetic field numerical solution, and particularly provides a finite element mesh adaptive method for network parameter analysis of a multi-port microwave device, which comprises the following steps: firstly, establishing a geometric structure of the multi-port microwave device, setting simulation frequency, excitation and boundary conditions, and establishing an electromagnetic simulation model; secondly, performing preliminary division and finite element electromagnetic simulation calculation on a computational domain by adopting a tetrahedral mesh to obtain a numerical solution corresponding to each group of excitation, and synthesizing results based on a posterior error estimation method for posterior error estimation; and finally, according to a posterior error indication grid encryption parameter, carrying out simulation calculation again after encryption, and repeating the process until the solution meets the precision requirement. In conclusion, by combining the characteristics of a finite element algorithm and the characteristics of an error estimation algorithm, in the microwave device network parameter analysis process, multiple sets of excited numerical solutions are comprehensively used for posterior error estimation and grid adaptive encryption indication, so that the analysis precision of network parameters is improved.

The invention relates to the technical field of dynamic simulation teaching, in particular to a dynamic simulation teaching system for urban and rural space planning, which comprises a data acquisition unit, an enhanced analysis unit and a multi-modal feedback processing unit. The method comprises the following steps: calculating the load deformation quantity of a component through a finite element algorithm, generating a ventilation efficiency cloud picture and a shadow coverage rate curve in combination with a computational fluid mechanics model and a ray tracing algorithm, analyzing a user operation instruction to trigger stress over-limit early warning, and realizing force feedback and multi-physics field data visualization through VR equipment. The problems of insufficient multi-source data fusion and lack of physical authenticity in traditional teaching are solved, dynamic physical verification and interactive teaching of a planning scheme are realized, and the planning decision ability and engineering practice cognition of students are improved.

The invention relates to the technical field of geophysical electromagnetic data exploration, in particular to a three-dimensional time-frequency domain electromagnetic joint inversion method based on a finite element algorithm. The method comprises the following steps: respectively acquiring time domain and frequency domain electromagnetic observation data of a to-be-measured region; dividing a to-be-measured region to obtain a non-structural tetrahedral mesh to construct a time-frequency domain inversion initial model; performing forward modeling calculation on the time-frequency domain inversion initial model to obtain time domain and frequency domain electromagnetic response data; obtaining a time domain electromagnetic data residual error and a frequency domain electromagnetic data residual error, respectively obtaining corresponding adaptive weights, and establishing a joint inversion objective function; performing iterative solution on the joint inversion target function, and calculating an update vector of the inversion initial model; and iteratively updating the initial inversion model until a set condition is met, and completing the time-frequency domain electromagnetic joint inversion. According to the method, the accuracy of three-dimensional inversion is effectively improved through joint inversion, so that the practical effect of three-dimensional inversion is enhanced.

The invention discloses a gradient combination anti-crack diaphragm wall concrete self-constraint stress optimization design method. The method comprises the following steps: firstly, constructing a BIM three-dimensional structure model comprising material performance, temperature gradient and stress state through three-dimensional laser scanning and core sample detection; then, carrying out stress partitioning based on the model, and calculating a self-constraint stress value and a stress transfer attenuation coefficient of each partition; then establishing an expanding agent proportion optimization model, simulating stress redistribution under different doping amount gradients by adopting a finite element algorithm, and screening a minimum effective doping amount meeting a stress homogenization index; and after the anti-cracking effect is verified through dynamic simulation, a final matching scheme is output. According to the method, the BIM technology and the material gradient design are combined, precise control over the concrete self-constraint stress of the underground diaphragm wall and active optimization of the crack resistance are achieved, the technical problem that traditional homogeneous material design is difficult to adapt to complex stress distribution is solved, and the durability and safety of the underground diaphragm wall structure are remarkably improved.

The invention discloses a polycrystalline material microstructure crack evolution simulation and mechanical property prediction method and system. The method comprises the following steps: establishing a voronoi geometric model of a polycrystalline material containing grain characteristics and microstructure defect characteristics; carrying out spatial distribution modeling on the mechanical property parameters of the polycrystalline material based on a probability statistics theory; importing the voronoi geometric model of the polycrystalline material into a multi-physics field simulation software platform, establishing a complete simulation geometric model for crack prediction based on a phase field fracture theory, and performing phase field solution; setting corresponding material parameters according to the material attributes; and setting corresponding boundary conditions in simulation software to simulate a four-point bending experiment, solving a phase field fracture control equation by utilizing a finite element algorithm, capturing a change rule of a crack propagation path, and recording key mechanical data. According to the method, the polycrystalline Voronoi model is constructed, spatial distribution modeling is carried out on the mechanical parameters of the material in combination with the probability statistics theory, and the non-uniform characteristic of the actual material can be reflected more truly.

The invention relates to the field of laser welding quality monitoring, in particular to a copper-aluminum heterogeneous material laser welding mechanical property prediction model. Comprising the steps that a multi-source data acquisition module acquires laser power, scanning speed and the like in real time through a sensor array; the physical mechanism modeling module is based on a multi-physics field coupling finite element algorithm, utilizes a self-adaptive heat source unit to dynamically compensate copper-aluminum heat conductivity difference, and simulates temperature field and residual stress evolution; the data driving prediction module adopts a dual-channel deep neural network, a first channel inputs a process parameter vector, a second channel inputs a molten pool geometric feature and a thermal cycle vector, and prediction values of tensile strength, elongation and hardness are jointly output through a feature fusion layer; and the online decision feedback module compares the predicted strength with a safety threshold value, generates a process parameter correction instruction through Bayesian optimization, and drives an execution mechanism to perform closed-loop control. A physical mechanism and dynamic feature capture are fused, the problem of high cost of a traditional trial and error method is solved, and prediction precision and process stability are synchronously improved.

The embodiment of the application provides a kind of high temperature contact-corrosion coupling model construction method, determine the type of high temperature contact corrosion and corrosion internal mechanism;Build force-chemical coupling theory model;Solve the force-chemical coupling theory model using finite element algorithm;Based on the result obtained by solving, build high temperature contact-corrosion coupling finite element model.The scheme, based on irreversible thermodynamics, establishes a force-chemical full-coupling high-temperature oxidation corrosion theory model considering the interaction of contact pressure, reactant (gaseous) diffusion and chemical reaction;The high-temperature corrosion model is realized by finite element using the pre-set UEL module, which can accurately simulate the corrosion evolution law, corrosion morphology characteristics, chemical reaction dynamic process in the contact area during high-temperature contact corrosion process, and the change of contact pressure with reaction process.Meanwhile, it can also accurately present the distribution of stress, strain, contact pressure, reactant and product concentration and other physical fields.

The application provides a metal mask and a pattern selection method, device and storage medium thereof. The pattern selection method comprises: processing n different transition region images to obtain corresponding n groups of pattern design parameters for representing the pattern distribution state of the transition region; determining minimum equivalent regions based on the n groups of pattern design parameters, performing mechanical simulation on each minimum equivalent region by using a finite element algorithm to obtain n groups of material properties corresponding to n different metal masks; performing mechanical simulation on the n different metal masks by using the finite element algorithm based on the n groups of material properties to obtain n groups of first deformation variables corresponding to the n different metal masks; determining at least one group of target first deformation variables from the n groups of first deformation variables, and outputting a transition region image corresponding to the target first deformation variable. The computer simulation test method can shorten the product development cycle, reduce the manufacturing cost and improve the research and development efficiency.

Embodiments of the present application provide a battery electrochemical-mechanical multi-physical field coupling method and device. The method comprises: constructing a gradient weighted smooth field based on the battery data; constructing an equation weak form of an electrochemical field and an equation weak form of a mechanical field based on the gradient weighted smooth field; and constructing a coupling relationship between the electrochemical field and the mechanical field based on the equation weak form of the electrochemical field and the equation weak form of the mechanical field. In this way, the numerical defects of low calculation precision of the finite element algorithm can be solved, and higher calculation precision can be obtained by using low-order tetrahedral elements, thereby greatly reducing the calculation time while ensuring the calculation precision.

The present invention relates to the technical field of electronic manufacturing equipment, and more specifically, to an adaptive thermal compensation system and method for a high-precision placement head of a chip placement machine. The system comprises a temperature-deformation sensing unit, a thermal-mechanical coupling analysis unit, a dynamic compensation control unit, and a closed-loop execution unit. The system uses the temperature-deformation sensing unit to collect temperature and deformation data of multiple components of the placement head in real time. The thermal-mechanical coupling analysis unit reconstructs a three-dimensional temperature field based on a finite element algorithm and dynamically calculates the thermal expansion distribution, solving the model coarseness problem of traditional single-point temperature measurement. The dynamic compensation control unit uses online parameter identification and a long-short-term memory network model to predict the amount of thermal drift within the next 5 milliseconds, and adaptively adjusts the compensation strategy based on motion conditions. The closed-loop execution unit decomposes the compensation amount into displacement and torsion correction instructions to achieve precise offset of thermal deformation, construct a full-process thermal compensation closed loop, improve the precision and stability of the placement head in complex thermal environments, and enhance production efficiency.

The invention discloses a cable structure tension simulation method based on a cooling method, which is a calculation method for simulating the traction tension process of a cable structure in LS-DYNA software by adopting an explicit dynamic nonlinear finite element algorithm by introducing a tool cable with a temperature material attribute into a cable structure finite element model and utilizing the cooling method. Traction tension of a cable structure is a process from loosening to tensioning and is a strong nonlinear process with ultra-large displacement and even mechanism displacement, and a finite element method for a conventional structure is based on a small deformation theory and cannot solve the tension simulation problem of the cable structure. The tool cable is introduced into the tensioning end of the cable structure, the tool cable is made of a temperature material and endowed with a large elastic modulus, the tool cable is cooled, the length of the tool cable is gradually shortened under the action of the temperature, so that the real cable structure tensioning process is simulated, and when the length of the tool cable is close to 0, the tool cable is in a tensioning in-place state. The tool cable introduced in the method fits the actual tensioning process, the whole-process construction process from ground pavement to high-altitude in-place is simulated, the linear expansion coefficient, the elastic modulus, the internal force and the like of the tool cable do not need to be consistent with the actual one and only need to meet the simulation requirement, and the internal force, deformation and the like of the cable structure are the results needing to be focused on.

The present application relates to the technical field of geophysical electromagnetic data exploration, in particular to a three-dimensional time-frequency domain electromagnetic joint inversion method based on finite element algorithm. The method obtains time domain and frequency domain electromagnetic observation data of the region to be measured respectively; the region to be measured is profiled to obtain a non-structural tetrahedral mesh to construct a time-frequency domain inversion initial model; the time-frequency domain inversion initial model is forward calculated to obtain time domain and frequency domain electromagnetic response data; time domain electromagnetic data residuals and frequency domain electromagnetic data residuals are obtained, and their corresponding adaptive weights are obtained respectively to establish a joint inversion objective function; the joint inversion objective function is iteratively solved to calculate the update vector of the inversion initial model; the inversion initial model is iteratively updated until the set condition is reached, and the time-frequency domain electromagnetic joint inversion is completed. The present application effectively improves the accuracy of three-dimensional inversion through joint inversion, thereby enhancing the practical effect of three-dimensional inversion.

The invention provides a deep rock hydraulic coupling constitutive model and finite element simulation method. The method comprises the steps that a first relation is determined according to the equivalent bulk modulus of a multiphase medium composite material; determining a second relationship according to the multiphase medium deformation coordination relationship; constructing a coupling equation based on the first relation and the second relation; obtaining a yield criterion and a flow rule according to a Drucker-Prager criterion; obtaining a plastic multiplier according to a consistency principle and a flow rule, and updating the stiffness matrix according to the plastic multiplier; determining coupling equation model parameters through a deep rock mechanical hydraulic coupling test; and performing language writing on the coupling equation through a programming language to obtain a finite element model. According to the method, the dynamic coupling effect among the porosity, the water pressure and the stress environment is quantified, the programming language is combined, secondary development of a finite element algorithm is achieved, and the safety of engineering design and the reliability of safety evaluation are improved.

The invention discloses an intelligent substation noise control system and method based on a composite low-frequency noise reduction structure, and relates to the technical field of intelligent substation noise control, and the method comprises the following steps: building a disturbance response model based on a perturbation finite element algorithm, and predicting a low-frequency standing wave mode; controlling the distribution of the composite low-frequency noise reduction structure based on a low-frequency standing wave mode to carry out noise control; the disturbance response model is constructed by solving an established multi-state finite element matrix; the multi-state finite element matrix comprises a unit rigid matrix, a unit mass matrix and a boundary unit matrix obtained based on parameter perturbation; according to parameter perturbation, effective disturbance variables are screened through boundary low-frequency coherence characteristics, and the problem that when a finite element algorithm is used for predicting the standing wave mode of the transformer substation, boundary disturbance caused by change of the operation state of equipment cannot be reflected, and consequently standing wave mode prediction is not accurate enough is solved.

The invention discloses a hyperboloid cross cable net shape-finding analysis and modular ring truss structure construction method, which comprises the following steps of: analyzing a static balance state of a cable net by adopting a nonlinear finite element algorithm based on a geometric model and a pretension force of a current iteration round; obtaining an internal force value and a node deformation coordinate of each cable section, calculating a standard deviation and a variable coefficient of internal force distribution according to the standard deviation and the variable coefficient, if the standard deviation and the variable coefficient are not converged to a threshold value, analyzing the influence of node coordinate change on the cable force through a sensitivity matrix, solving an optimal coordinate adjustment amount, updating a geometric model, synchronously adjusting a pre-tension force, starting a new round of iteration, and cyclically performing the process, and the standard deviation and the variable coefficient both meet the convergence requirements. And finally, outputting an optimized cable net geometrical shape and an internal force distribution result, and providing an accurate basis for actual construction. According to the technical scheme, the overall process efficiency of the double-curved-surface crossed cable net structure from digital design to industrial construction can be systematically improved.

The invention provides a nuclear reactor vapor-liquid two-phase flow numerical simulation method and device, and relates to the technical field of computational fluid mechanics, and the method comprises the steps: converting a spatial partial derivative term of a vapor-liquid two-phase flow model into a spatial discrete form through discontinuous finite element discretization; on the basis of a Roe type format, physical quantities exchanged between adjacent discrete units are determined; reconstructing a high-order slope in the discrete unit by using a slope limiting function to obtain physical quantity distribution in the discrete unit; based on physical quantity distribution in each discrete unit, a high-order difference format is adopted to discretize a time item, and a discrete equation set changing along with time is obtained; and constructing a preprocessing jacobian matrix through automatic differentiation, and iteratively solving the discrete equation set based on the preprocessing jacobian matrix to obtain a numerical simulation result. According to the method, the discontinuous finite element algorithm, the Roe type numerical flux algorithm and the high-order slope reconstruction algorithm are combined, so that the behavior of the vapor-liquid two-phase flow of the nuclear reactor under the abnormal working condition can be simulated more accurately.

The invention discloses a method for obtaining an earthquake response result of a pipeline structure and a related device, and relates to the technical field of nuclear power station safety engineering.The method comprises the steps that firstly, a nuclear island main loop structure and the pipeline structure are independently modeled through a finite element algorithm and a pipeline special algorithm, and customized analysis of structures with different characteristics is achieved; thirdly, calculating the response of a connectable point of a main loop structure under a real seismic oscillation time history, converting the response into a seismic response response spectrum, and concentrating complex time history information into spectrum data representing the maximum response of the point; and then, the obtained earthquake response response spectrum is applied to the corresponding connection points of the pipeline structure model, and the earthquake response of the main loop structure is accurately transmitted to the pipeline structure model, so that the state of the pipeline structure attached to the main loop structure in an actual earthquake is physically and truly simulated. Finally, the seismic response result of the pipeline structure model obtained based on the accurate input also has high accuracy.

The application discloses a low-stress fiber loop design method based on finite element simulation and belongs to the technical field of computer-aided design. The low-stress fiber loop design method of the application is aimed at the jump-turn transition area of an octupole symmetrical winding method fiber loop, constructs a jump-turn geometric model containing cross-layer jump-turn optical fibers and regular layer winding optical fibers, establishes a local Cartesian coordinate system and adopts a sweeping method to perform structured grid division, applies a fixed constraint to the regular layer winding optical fibers, applies tension and opposite displacement loads to the cross-layer jump-turn optical fibers to simulate jump-turn deformation, considers the nonlinear mechanical behavior of the optical fibers, solves equivalent stress distribution by adopting a nonlinear finite element algorithm, obtains an optimal transition path based on the equivalent stress distribution fitting, and adjusts the jump-turn angle and wrapping buffer materials. The application can truly restore the local stress state under the jump-turn scene, effectively reduces the stress concentration of the jump-turn transition area, and improves the design reliability and mechanical stability of the fiber loop.

The application relates to the technical field of high-speed electronic design automation simulation, and further relates to a via simulation method and system, a computer device and a storage medium. The method comprises the following steps: decomposing a multilayer via structure into multiple units, each unit comprising a cavity formed by a pair of plates and at least one via segment passing through the cavity; calculating an inter-plate impedance matrix of the cavity in each unit according to a finite element algorithm; calculating a coupling capacitance between the cavity and the via segment in each unit according to an analytical method; constructing multiple pi-type coupling circuit models according to the inter-plate impedance matrix and the coupling capacitance corresponding to each unit; cascading the pi-type coupling circuit models of each layer to obtain a multilayer via cascaded circuit model; and calculating scattering parameters according to the multilayer via cascaded circuit model. The method accurately and efficiently simulates a multilayer structure comprising vias, traces and an actual power ground plane, and realizes collaborative design of signal integrity and power integrity.

The invention discloses an offshore booster station multi-rod connection complex node fatigue evaluation method, which comprises the following steps: establishing a three-dimensional rod system finite element analysis model of an offshore booster station multi-rod connection integral structure, and determining unfavorable nodes in the offshore booster station multi-rod connection integral structure; calculating a force / moment distribution coefficient of each rod piece at the node; calculating stress concentration coefficients of different support rod weld toes at the unfavorable nodes; the nominal stress of each rod piece at the unfavorable node is calculated according to the force / torque distribution coefficient of each rod piece; the product of the stress concentration coefficient and the nominal stress is hot spot stress; the fatigue life of all rod piece weld toes of the unfavorable nodes is obtained by combining hot spot stress with a salt mist area S-N curve; according to the method, a theoretical algorithm and a finite element algorithm are combined, the defect that a multi-bar system complex node fatigue evaluation method is not detailed in specifications is overcome, the problems that a simple evaluation method is unreliable in result and large in deviation are solved, and guidance is provided for structural design safety and light weight of the offshore booster station.

This invention discloses a method, apparatus, electronic device, and storage medium for modeling forward EEG problems. The method includes: segmenting brain tissue structures based on brain structural images; dividing the head domain into a global mesh based on the segmented brain tissue structures; creating a skin-like electrode template based on the electrode line distribution of skin-like electrodes; locally refining the mesh based on the center position, shape, and electrode line cross-sectional diameter of the skin-like electrodes to obtain a head model; obtaining a skin-like electrode model on the head model with electrode locations based on the skin-like electrode template; obtaining a corresponding source model based on mesh division of the cerebral cortex surface; and constructing a personalized EEG forward EEG model using the finite element method based on the head model, source model, and skin-like electrode model. This invention addresses the problem of complex electric field distribution in the scalp region covered by the electrodes due to the complex fractal serpentine mesh structure of skin-like electrodes, thus improving the modeling accuracy of forward EEG problems.

The invention discloses a field-circuit coupling method and device based on a time domain hybrid finite element method and a delay insertion method. The method comprises the following steps: discretizing a three-dimensional electromagnetic structure through a tetrahedral mesh, reading the port characteristics of an IBIS model, constructing an electromagnetic field equation based on a hybrid finite element algorithm of tree-cotree decomposition, and reducing the order through a modal order reduction technology after discretization; an electromagnetic port is equivalent to a series structure, the series structure is coupled with an IBIS model equivalent circuit to construct an EM-IBIS system, and a circuit equation is solved through an LIM method; a self-adaptive local time step length strategy is adopted, an electromagnetic part adopts large-step-length propulsion, and a circuit part is subjected to self-adaptive subdivision iteration in each electromagnetic step length until a convergence condition is met. Simulation precision and efficiency are balanced, full-link simulation is supported, the design reliability of a high-speed and high-density electronic system can be improved, and the method has important application value in scenes such as signal integrity, power supply integrity and electromagnetic compatibility optimization.

The invention belongs to the technical field of sea ice mechanical behavior numerical prediction, and particularly relates to a sea ice elasticoplastic deformation prediction method based on a crystal plasticity finite element, a program, equipment and a storage medium. The invention provides the sea ice elasticoplastic deformation behavior prediction method taking crystal grain crystallography characteristics and a deformation mechanism into consideration from a crystal perspective, and the influence of external loading conditions and crystal internal factors on the sea ice elasticoplastic deformation behavior can be considered at the same time. According to the method, the real polycrystalline microstructure of the sea ice is reconstructed, the crystal plasticity constitutive model is established and coupled with the finite element algorithm, prediction of the elastic-plastic deformation behavior of the sea ice considering crystal crystallography characteristics and a deformation mechanism is achieved, and a new microstructure dependent numerical simulation scheme is provided for deformation behavior analysis of the sea ice.

This invention provides a method and system for simulating hydraulic fracture propagation with non-uniform perforation morphology, belonging to the field of hydraulic fracturing technology. The method includes: classifying the parameters of the fracturing engineering model based on various basic models to obtain parameter sets for each basic model; constructing corresponding basic models based on the parameter sets of each basic model; wherein the basic models include a three-dimensional multi-cluster non-uniform perforation fracturing geological model, a hydraulic fracture propagation model, and a fracturing fluid flow distribution model; coupling the basic models using a finite element method to obtain a simulation model; and simulating candidate fracturing perforation design schemes for the target fracturing project based on the simulation model, outputting the simulation results. This invention achieves precise simulation and optimization of the hydraulic fracture propagation process, significantly improving the scientific nature and reliability of fracturing design, and providing more reliable theoretical guidance and decision support for the fracturing stimulation of unconventional oil and gas reservoirs.

The invention discloses an electrical imaging logging optimal sampling interval determination method based on an adaptive finite element algorithm, and the method comprises the steps: S1, determining the electrical imaging response characteristics of a fractured reservoir microfracture through the induction of the electrical imaging image characteristics of a typical microscale fracture; and S2, establishing and solving a numerical model of the electrical imaging logging response by using a COMSOL Multiphysics software platform by defining electrical imaging response characteristics and combining an adaptive finite element algorithm. Obtaining electric signal responses of the crack width, angle and length of the platy body stratum, the slurry resistivity and the matrix resistivity; s3, exploring an optimal electric imaging crack display color code range based on an electric imaging image signal database formed by forward modeling; s4, changing the longitudinal sampling spacing of the electrical imaging image to obtain crack imaging effects under different sampling spacing, and observing crack signal changes; and S5, different sampling intervals, observation current values at different initial positions and crack widths are compared, the optimal sampling interval is determined, crack observation noise of an instrument can be effectively reduced, and the sampling interval plays a key role in extraction of micro cracks. The method can be used for determining the optimal sampling spacing of the electrical imaging logging.

The invention relates to a temperature-curvature model inverse finite element deformation reconstruction method of a large plate under a thermal load. The method comprises the following steps: S1, obtaining a temperature field and a displacement field of a structure at M moments in the whole heating process; s2, acquiring a curvature field of the structure at M moments; s3, obtaining a temperature-curvature power function fitting coefficient of each position, and obtaining a structure temperature-curvature model; s4, fitting to obtain a temperature field and a single-sided strain field of the structure, taking the temperature field obtained by fitting as the input of the temperature curvature-model in the S3, and further obtaining a curvature field of the structure at the moment; s5, obtaining double-sided strain of the structure; and S6, obtaining a unit reconstruction equation set of each unit under the reverse finite element algorithm, assembling to obtain an overall reconstruction equation set, substituting the boundary conditions, and solving to realize the reconstruction of the global displacement field of the structure. The method solves the problem that the inverse finite element method is difficult to realize deformation reconstruction of the large plate structure under the thermal load during single-sided strain measurement.

The application discloses an extrusion deformation state detection method and system, electronic equipment and a storage medium, and relates to the technical field of extrusion deformation detection. The method comprises the following steps: determining the deformation calculation method corresponding to each node / integration point according to the initial data of each time step in a time step iteration manner, and then determining the extrusion deformation data of the target measured object at the time step according to the corresponding deformation calculation method of each node / integration point, and obtaining the extrusion deformation state of the object at all time points through time step iteration. The application selects the corresponding deformation calculation method for deformation operation according to different nodes / integration points, retains the operation advantages of the time-space stable node integration algorithm and the node smooth finite element algorithm, and can realize high-precision and high-efficiency extrusion deformation state detection.

The invention provides a metal mask, a pattern selection method and device thereof and a storage medium. The pattern selection method comprises the following steps: processing n different transition area images to obtain corresponding n groups of pattern design parameters used for representing the pattern distribution state of the transition area; determining minimum equivalent areas based on the n groups of pattern design parameters, and performing mechanical simulation on each minimum equivalent area through a finite element algorithm to obtain n groups of material attributes corresponding to the n different metal masks; based on the n groups of material attributes, performing mechanical simulation on the n different metal masks through a finite element algorithm to obtain n groups of first deformation quantities corresponding to the n different metal masks; and determining at least one group of target first deformation quantity from the n groups of first deformation quantity, and outputting a transition area image corresponding to the target first deformation quantity. According to the embodiment of the invention, a full-computer simulation test mode is adopted, the product development period can be shortened, the manufacturing cost is reduced, and the research and development efficiency is improved.

The invention discloses a test method and a test system for simulating a nuclear pipeline to throw a target object, and the method comprises the following steps: preparing speckles on the surface of the target object, and shooting a deformation image sequence of the speckles in the process that the target object is thrown by the simulated nuclear pipeline to obtain a DIC image; arranging a strain gauge on the target object, and synchronously acquiring strain time history data of the target object in the throwing process of the simulated nuclear pipeline by using a strain gauge; and solving the dynamic impact force by using a finite element inversion algorithm in combination with the strain time history data and the DIC image. According to the scheme, by combining a local strain time history, full-field DIC data and a finite element algorithm, deep fusion of experimental measurement and numerical inversion can be realized, the scene when a nuclear pipeline throws and strikes a target can be reconstructed with high precision on the premise of not depending on an empirical formula, the reliability of impact force data is ensured through multi-physical-quantity cross validation, and the reliability of the nuclear pipeline is improved. A quantitative basis is provided for nuclear power plant throwing effect evaluation.

The invention belongs to the technical field of process improvement, and provides a forge piece manufacturing process improvement optimization method which comprises the following steps: performing static data acquisition on a forge piece under the current working condition, performing a Deform-3D-based rigid-plastic finite element algorithm, constructing a rigid-plastic finite element simulation model, and constructing a simulation model; the influence of different forging parameters on the forging forming quality in the forging process is simulated, and the defect risk of the forging in the simulated forging process under the forging parameters is evaluated; if the defect risk is low, extracting a defect risk coefficient corresponding to the low-risk parameter, and determining a simulation optimal parameter; performing test operation on the forge piece based on the simulation optimal parameter, presetting a test operation time period, and judging whether the qualification rate of the forge piece is abnormal or not by performing quantitative deviation analysis on the actual qualification rate of the forge piece in the test operation time period; according to the method, aiming at the abnormal condition of the qualified rate, a quantitative correction model is established through the mold abrasion loss and the surface roughness increment, and the friction coefficient is accurately corrected to obtain an actual optimal parameter.