43 results about "Finite element calculations" patented technology

The application belongs to the technical field of additive manufacturing, and particularly relates to an intelligent 3D printing system, which comprises a rack and a controller, the inside of the rack is provided with a laser printing head and a powder laying mechanism, the powder laying mechanism lays powder, and then the laser printing head melts the powder by laser to complete the action of cladding. The intelligent 3D printing system can utilize forward mapping to output the trained network in seconds or even milliseconds, greatly accelerating the real-time simulation effect of design iteration. Meanwhile, the neural network can replace time-consuming finite element calculation in the optimization process of genetic algorithm, and quickly find the optimal design parameters, thereby achieving the effect of optimization design. On the other hand, the backward mapping is used to quickly and accurately identify the complex material model parameters, which is several times faster than the traditional trial-and-error method, and the input or physical characteristics of the system can be back calculated according to the dynamic response of the structure.

This invention relates to the field of seismic resistance technology for spatial frame structures, and discloses a method for determining the energy dissipation mechanism of a steel-concrete composite column-composite beam spatial frame. The energy dissipation mechanism includes steel beams, steel-concrete composite columns, and reinforced concrete slabs. The steel beams are welded and fixed to the steel-concrete composite columns via reinforcing rings, and the steel beams are fixedly connected to the reinforced concrete slabs via studs. Tie bars are provided at the ends of the steel-concrete composite columns. The ratio of the flexural bearing capacity of the steel beams to that of the steel-concrete composite columns is within the range of 0.42 to 1.05. By introducing the ductile damage parameter of the steel, combined with the inter-story drift angle, cumulative energy dissipation, beam-column energy dissipation ratio curve, and finite element calculation results of stiffness damage of the spatial frame, the energy dissipation characteristics and energy dissipation mechanism type of the structure are determined. This invention aims to solve the technical problems in the prior art where the steel-concrete composite columns do not form sufficient compression-bending hinges for energy dissipation during seismic resistance, easily leading to collapse, and the technical problems of using beam energy dissipation mechanisms in seismic design while rarely considering column energy dissipation.

The application belongs to the field of computational mechanics, and discloses a scale order reduction near-field finite element calculation acceleration method and implementation method for structure fracture analysis.The acceleration method comprises the following steps: firstly, geometric modeling is performed on a target structure; secondly, the split finite element is recorded as a fine scale element and constitutes a fine scale grid; thirdly, based on a spatial neighborhood relationship, the fine scale element is collected into a coarse scale element and constitutes a coarse scale grid; fourthly, an equivalent shape function of the coarse scale element is obtained; fifthly, the overall stiffness matrix and the load vector of the coarse scale grid are calculated; sixthly, the overall node displacement of the coarse scale and fine scale grid is solved; seventhly, it is judged whether the current loading step or time step reaches the maximum loading step or time step; if yes, the displacement nephogram and equivalent damage nephogram of the target structure are output; if not, the key state of all fine scale near-field elements is updated; and finally, the implementation method is that the acceleration method is taken as a core calculation module to be implemented in different scenes.The application significantly improves the calculation efficiency of near-field dynamics in large-scale simulation analysis.

This invention discloses a three-dimensional finite element simulation method for underground caverns that considers the dynamic evolution of surrounding rock deformation parameters. Based on triaxial loading and unloading tests of the surrounding rock in an underground cavern, the method first obtains the evolution equations of the surrounding rock deformation parameters under different stress paths, then constructs a three-dimensional finite element calculation model of the underground cavern. Through secondary development technology of finite element software, the evolution equations are embedded into the simulation process, realizing real-time dynamic adjustment of the deformation modulus and Poisson's ratio of the surrounding rock as the stress state changes during excavation. During the simulation, the method cyclically executes "stress monitoring - path judgment - parameter calculation - model assignment - convergence calculation" according to the excavation step sequence until the cavern excavation is completed. This invention restores the deterioration law of surrounding rock parameters under unloading during underground cavern excavation, improves the fit between numerical simulation results and engineering reality, and provides a reliable basis for the stability analysis of the surrounding rock and the design of excavation and support schemes for underground caverns.

The application discloses a kind of based on residual stress threshold value corrosion cracking resistance heat treatment optimization method, belong to heat treatment numerical simulation research technical field, to solve the problem of high risk of stress corrosion cracking in weld heat-affected zone.Method includes determining the postweld residual tensile stress of inner wall weld heat-affected zone according to the cylindrical structure and physical properties of different materials;Four-point bending specimen is prepared, and target sample is prepared by annealing and bending moment loading;Residual tensile stress is loaded and finite element calculation is carried out for loading displacement;The residual stress threshold value of corrosion cracking is defined by electrochemical test on target sample;According to residual stress threshold value and combined with heating strip width basic formula, heat-mechanical coupling finite element simulation is carried out, and the optimized width correction coefficient is screened, to obtain the adaptive heating strip width design formula and complete optimization.The application can accurately determine the residual stress threshold value, optimize the heating strip width, improve the corrosion cracking resistance of component, and has economy and industrial value.

This invention relates to a method and system for improving the constructability of inclined 3D printed concrete based on finite element simulation. The method includes: modeling the inclined 3D printed structure, performing strip division, segment division, and mesh division to obtain the target model, constructing a set of elements and nodes for each segment, and setting the model parameters of the target model; activating the element set, nozzle constraints, and extrusion pressure of the corresponding segment segment by segment, assigning age variables to the activated nodes, and applying gravity to the activated parts; performing finite element calculations on the segment-by-segment activation process until the structure is significantly damaged, obtaining the maximum printable height and corresponding deformation before damage; adjusting the process parameters, remodeling if the initial inclined 3D printed geometry changes, otherwise resetting the process parameters until the maximum printable height is maximized and the corresponding deformation is minimized. Compared with the prior art, this invention improves the current situation where existing models have insufficient fidelity in reproducing the inclined 3D printed concrete process and low prediction accuracy.

The application provides a fatigue crack life prediction method and system based on a physical information neural network, comprising: a data acquisition step: through finite element numerical simulation, crack length and fatigue life expansion data under different working conditions are acquired; a data set construction step: a data set for training a neural network is constructed according to the expansion data; a neural network construction step: according to the data set, a physical information neural network is constructed and trained to obtain a physical information neural network model; a life prediction step: inputting working condition parameters to be measured into the physical information neural network model, fatigue crack prediction results are obtained and outputted. The application solves the problems of long time consumption of finite element calculation and data dependency of a data-driven model, and realizes accurate prediction of fatigue crack expansion residual life under a small sample.

This invention relates to the fields of materials science and parts forming and manufacturing technology, and discloses a method and system for cross-scale prediction of material mechanical properties. The method includes: acquiring EBSD data of the modeling material; extracting first-class microscale features (crystal orientation, phase distribution) and second-class microscale features (SF, TF, grain size, texture); constructing an RVE model based on the first-class features; embedding the crystal plastic constitutive model for finite element calculation to obtain the macroscopic mechanical response and grain-scale stress-strain distribution; combining the calculated data, selecting at least one feature from the two classes as input to establish a quantitative prediction model for macroscopic mechanical properties; for the target material, acquiring its EBSD data and extracting corresponding features, and applying the model to predict macroscopic mechanical properties. This invention achieves direct quantitative prediction from microscopic mechanisms to macroscopic properties, reducing reliance on large-scale experiments and providing an efficient and reliable tool for materials design and process optimization.

The present application belongs to the technical field of mechanical structure, and particularly relates to a method for reducing working vibration of a gear of a helicopter transmission system. The method uses a three-dimensional model of the gear or the gear ring and finite element calculation to obtain the first four modal frequencies. According to the gear structure, slots are formed at the gear web, the inner and outer diameters of the gear ring, or the gear weight-reducing holes before static or dynamic balancing of the gear. A damping ring or a damping block is installed at the slots, and then modal testing is performed. By adjusting the damping ring or the damping block, the working vibration is relatively reduced, and the processability and maintainability of the large gear are improved. The method can reduce harmful working vibration of the gear or the gear ring without changing the original structure, does not additionally increase the weight of the gear or the gear ring, and has repeatability. The method can be repeatedly improved according to the modal test results of each adjustment to achieve the best effect of reducing harmful working vibration.

The application provides a kind of integrated intelligent design method of electric truck aluminum alloy frame, belongs to the technical field of automobile structure design.The method comprises the following steps: establishing a collaborative parametric finite element model of the frame, unifying the structural size, section shape and bolt connection parameters as design variables, and obtaining a performance sample set; based on MLP, an agent model is constructed to predict the frame mass, fatigue life, modal, displacement and stress response; a PPO-enhanced NSGA-III algorithm is used for multi-objective optimization, and the PPO dynamically adjusts the crossover and mutation parameters to obtain a Pareto candidate solution; and then the CRITIC-TOPSIS algorithm is used to select the best design scheme. The application can reduce the amount of repeated finite element calculation, improve the efficiency of high-dimensional multi-objective optimization, and achieve the collaborative balance between frame lightweight, stiffness, strength, modal performance and fatigue life.

The application belongs to the technical field of three-dimensional electromagnetic radiation numerical solution, and relates to an electromagnetic radiation simulation analysis method based on local grid self-adaptive division. Firstly, the application carries out finite element modeling on a target antenna, introduces PML boundary and wave port excitation to establish a corresponding finite element calculation domain model, and adopts tetrahedral grid division to classify the calculation domain model; then finite element electromagnetic radiation simulation analysis is carried out to obtain finite element solution, and error estimation and encryption strategy are used to give the encryption size of the grid nodes in the non-PML region; finally, the grid is encrypted, finite element electromagnetic radiation simulation analysis is carried out again, and the process is repeated until the overall solution error is less than the set error limit, the final calculation grid is obtained, and finite element electromagnetic radiation simulation analysis is carried out. The application only encrypts the tetrahedral grid in the non-PML calculation domain, ensures the original characteristics of the tetrahedral grid in the PML calculation domain, and realizes the rapid simulation design of the antenna radiation characteristics while ensuring the calculation accuracy.

The application relates to the technical field of tumor hyperthermia, in particular to a temperature field acquisition method and device for tumor thermal ablation surgery, wherein the method comprises the following steps: segmenting a three-dimensional tumor model from a three-dimensional magnetic resonance image in a target liver; calculating the centroid position of the three-dimensional tumor according to the three-dimensional tumor, and solving the ellipsoid parameters of the three-dimensional tumor; querying a preset database by using the ellipsoid parameters to obtain the closest ellipsoid data, and acquiring the current temperature field distribution from the closest ellipsoid data. Therefore, the problems in the prior art that the finite element calculation is huge in amount, time-consuming, and the temperature field cannot be acquired and monitored in real time, the accuracy and real-time performance of the surgery are reduced, and the requirements of the tumor thermal ablation surgery cannot be met are solved.

This invention discloses a method and system for controlling settlement deformation of gravity-type wharves based on axial deformation coordination, belonging to the technical field of port and waterway engineering structures. The method includes: determining soil mechanical parameters based on an empirical database; performing elastoplastic finite element calculations combined with the wharf load distribution to obtain the independent settlement deformation results of each structural segment over time; weighted summing of the independent settlement deformation results of a predetermined number of adjacent structural segments arranged continuously along the wharf axis to obtain the axial coordinated settlement deformation result; comparing the axial coordinated settlement deformation result with deformation control standards; if there is excessive deformation, a polling mechanism is used to identify the specific structural segment with the largest contribution, applying a preset reinforcement scheme to its foundation area to update the mechanical parameters, and iteratively calculating until the deformation control standard is met, outputting the final foundation reinforcement design scheme. This method can effectively improve the accuracy of long-term settlement assessment and the economic efficiency of reinforcement schemes for gravity-type wharves on soft soil foundations.

The application discloses a thermal-mechanical fatigue crack propagation rate testing method based on rigidity and crack tip strain field, comprising the following steps: firstly, a relationship function between normalized crack length and normalized rigidity is established through finite element calculation; secondly, DIC speckle preparation is carried out for observing crack propagation and strain field analysis; then, a thermal-mechanical fatigue test is carried out, crack length is calculated based on rigidity change results of the test, an a-N relationship curve is drawn combined with DIC synchronous observation results, and comparative analysis is carried out; finally, crack propagation rate is calculated through a three-point moving average secant method, and the size of a plastic zone at a crack tip is determined according to DIC strain field analysis, so that the accurate test of the crack propagation rate is realized. The application can effectively test the fatigue crack propagation behavior under the thermal-mechanical coupling effect, and accurately obtain the thermal-mechanical fatigue crack propagation rate combined with the crack tip strain field measurement method, so as to provide test data support for damage tolerance design and structure integrity evaluation of high-temperature pressure-bearing equipment.

This invention discloses an intelligent optimization algorithm for curved fiber wing that integrates physical information buckling proxy, relating to the field of aircraft design technology. The method includes: equivalently planarizing the spatially twisted quadrilateral; deriving the Jacobian matrix through a double-triangle affine mapping to construct a variable stiffness total potential energy functional; embedding the mechanical control equations using a physical information neural network (PINN) to quickly solve for the buckling critical load factor and modes, replacing traditional finite element calculations; parameterizing the fiber path and thickness to construct design variables; and employing a multi-stage adaptive differential evolution algorithm for global optimization, integrating process, static / dynamic aeroelasticity, and strength constraints. This invention achieves a closed-loop modeling-evaluation-optimization process, significantly reducing computational costs while maintaining mechanical consistency, solving the convergence problem of high-dimensional variable coupling, and greatly improving the automation and engineering efficiency of curved fiber wing design.

The application discloses a tapered roller bearing entity simulation method and device, equipment and medium, and relates to the technical field of wind power generation. According to the scheme, a TRB entity model is constructed, and a frictional contact is set between a large-end spherical base surface of a tapered roller and a large flange of an inner ring, so that the contact pressure of the large flange and the roller posture are truly reflected. The central region of the large-end spherical base surface is connected to the corresponding position of the large flange of the inner ring only through a spring unit, and the included angle between the axis of the spring unit and the vertical central section of the tapered roller is less than a preset threshold value, so that the constraint direction is concentrated on the local limiting direction of the spherical base surface and the large flange, and the non-physical rigid body drift in the frictional contact establishment process is inhibited. The spring counterforce is less than the contact force of the corresponding tapered roller, and the spring unit is not connected to the outer ring of the bearing, so that it is only used for numerical stability and does not participate in the main load transmission, and does not interfere with the main bearing contact between the roller and the raceway, so that the convergence stability of the finite element calculation is significantly improved while the contact authenticity is ensured.

The application discloses a kind of whole hollow composite multi-point low-speed impact damage behavior prediction methods, belong to the field of impact simulation analysis of composite material structure.The method of the present application comprises: according to CT scanning, the establishment whole hollow composite cell model, based on cell model establishes panel micro model and divides tetrahedron grid, gives material attribute, to meet displacement continuity and stress continuity, obtains panel mechanical parameter, based on the obtained panel mechanical parameter establishes macroscopic micro-coupling finite element model, to model is applied first and second low-speed impact load and carries out finite element calculation, obtains damage behavior.The present application can accurately predict the damage behavior of whole hollow composite under multiple low-speed impact load, and can provide theoretical basis for composite structure design and engineering application.

The application provides an old factory limited space trench intelligent wiring and avoidance optimization method and system, relates to the technical field of facility intelligent reconstruction, and comprises the following steps: obtaining point cloud data through structured light laser scanning, extracting crack profiles through edge detection, obtaining stress hot spot distribution through elastic-plastic finite element calculation, analyzing spatial distribution of weak structure areas, calculating safe wiring intervals based on tensor field stress diffusion, and planning pipeline layout paths by using an adaptive tree search algorithm. The application can effectively avoid dangerous structure areas by combining micro trenches and intelligent wiring on the basis of the limited space of existing old trenches, for example, in the case of insufficient spacing when directly laying in the original space, improve pipeline layout safety, prolong the service life of infrastructure, and reduce maintenance costs.

The application provides a small and medium span highway bridge lightweight monitoring and rapid evaluation analysis method and system, comprising: a bridge parameterization rapid input module, a vehicle load batch input module, a measuring point information arrangement module, a finite element calculation analysis module, a batch load working condition measuring point result automatic extraction module and a cloud highway bridge structure response monitoring module. It has the following advantages: 1. Without carrying out bridge site appearance quality collection, material performance test, dynamic characteristic test and other work, based on the standardization structure characteristics of small and medium span bridges, the dynamic deflection of the key cross section position measuring point is monitored, the safety passing coefficient of the bridge can be evaluated in real time, and the real-time evaluation result is realized; 2. In any traffic flow condition, the real-time dynamic checking coefficient of the bridge under different driving conditions of various types of overloaded vehicles can be accurately calculated, and timely safety warning is realized, a large amount of manpower, material resources and other expenditures required by load test are saved, and the cost is greatly reduced.

A large thin-walled part overall deformation sub-region compensation method based on space-time interaction. The influence range of space-time interaction on deformation in the region is demarcated, and a deformation reference point is set in the region; considering the influence of initial stress release and processing stress introduction, an interaction model between regions is established; an analytical method of space-time interaction coefficient is proposed, and the offset value of the reference point is solved by using finite element analysis means; the compensation region is divided by the gradient of the offset value change, the boundary intersection points of the region are defined as characteristic reference points, the characteristic reference point positions are obtained by in-machine measurement method, and the difference between the characteristic reference point positions and the finite element calculation positions is calculated to correct the region compensation value; the processing code in the region is offset as a whole according to the compensation value, and the overall deformation compensation of the large thin-walled part is completed. The invention proposes the concept of space-time interaction coefficient, and the overall offset of the region processing track completes digital processing, which is simple in whole process operation, high in automation degree and effectively improves the machining precision, and meets the demand of overall deformation precision control of large thin-walled parts.

This invention provides a finite element parametric modeling method for a manned lunar rover's metal mesh wheel, comprising the following steps: Step S1, providing model parameters for the woven wheel; Step S2, obtaining the curve parametric equations describing the position and shape of each metal wire; Step S3, calculating the intersection points between every two metal wires, and determining the position coordinates of the metal wires in contact state based on their spatial position and diameter; Step S4, calculating the node information and element information of the finite element model; Step S5, generating a text-formatted finite element model file; Step S6, importing the model into finite element calculation software, setting loads and boundary conditions, and performing calculations. This invention directly generates a finite element mesh based on the geometric characteristics of the metal wires, greatly shortening the modeling time; it achieves parametric finite element modeling, enabling the generation of new finite element models based on information such as weaving angle, number of metal wires, mesh size, and wheel cross-section, which is highly beneficial for rapid iteration in the wheel design stage.

The present disclosure provides a mechanics calculation method and apparatus for a pipeline. The method includes: generating a pipe-beam model formed by connecting a plurality of pipe-beam elements; generating a target shell component mesh model formed by joining a plurality of shell elements; replacing, with the target shell component mesh model, a pipe-beam element at a corresponding position in the pipe-beam model to form a hybrid model; performing finite element calculation on the hybrid model to obtain a displacement of each node of the hybrid model; calculating nodal internal forces of the pipe-beam elements based on nodal displacements of the pipe-beam elements; calculating stresses of the respective shell elements based on mesh nodal displacements of the target shell component mesh model; and calculating stresses of the pipe-beam elements based on the nodal internal forces of the pipe-beam elements.

The embodiment of the application provides a safety distance determination method based on a liquid ethane pipeline leakage accident, which can solve the technical problem of poor flexibility of liquid ethane pipeline safety distance setting. The method comprises the following steps: obtaining the leakage rate and combustible gas mass of the liquid ethane pipeline under different leakage aperture conditions according to finite element calculation; determining the effective leakage source diameter according to the leakage rate; determining the jet fire length and jet fire surface area according to the effective leakage source diameter; determining the combustion heat according to the jet fire length and jet fire surface area; determining the surface emissivity according to the combustion heat; determining the thermal radiation value on the preset distance according to the surface emissivity; determining the combustible gas equivalent and explosion total energy according to the combustible gas mass; determining the positive maximum overpressure and shock wave positive impulse according to the explosion total energy and combustible gas equivalent; and determining the safety distance according to the thermal radiation value, the positive maximum overpressure and the shock wave positive impulse.

The genetic algorithm-based large prestressed continuous beam aqueduct optimization design method of the application comprises the following steps: constructing multi-dimensional design variables and generating a high-fidelity training data set; adopting hybrid coding chromosome to represent design individuals, executing geometric interference self-healing logic and engineering modulus normalization; constructing a full working condition matrix, converting concrete shrinkage, concrete creep and prestress long-term loss into response correction amounts respectively and establishing a constraint judgment library; training an agent model as a transient evaluation engine; adopting an adaptive genetic algorithm for global optimization, maintaining a Pareto non-inferior solution set; screening the optimal scheme for high-fidelity review and selective incremental learning. The application realizes millisecond-level reasoning through an AI agent model, solves the bottleneck of frequent calling of finite element calculation in traditional methods, ensures the constructability of the scheme through self-healing logic and modulus normalization, guarantees the whole life cycle performance through full working condition time-varying effect evaluation, and forms a closed-loop evolution through active learning and high-fidelity review, thereby improving the optimization efficiency and search depth on the premise of ensuring safety and compliance.

The application discloses a method for determining the length of a transverse beam of a railway reinforcing system, and comprises the following steps: S1, obtaining design parameters of the railway reinforcing system; S2, simplifying the railway reinforcing system by using finite element calculation software, and establishing a three-dimensional finite element model based on the railway reinforcing system; S3, calculating the load generated on the track when a train is running, and applying the load to the three-dimensional finite element model; S4, changing the length parameter of the transverse beam, and running dynamic and static force analysis by using finite element analysis software to obtain track deformation under different length conditions; and S5, comparing the track deformation with actual specification limits, and determining the length of the transverse beam of the track deformation by using an iterative algorithm. The method for determining the length of the transverse beam can provide support for the reinforcing system in time, and the reinforcing system as a whole will not be unstable due to the too large length of the transverse beam.

This invention relates to the field of bridge design and construction technology, specifically to an integrated method for determining construction parameters of tied-arch bridges based on multi-stage collaborative simulation. The method includes constructing a finite element model A based on the structural dimensions and load parameters of the arch ribs, tie beams, and hangers of the tied-arch bridge; iteratively calculating the target cable force vector of the hangers based on finite element model B; calculating the target internal force vector of each hanger after installation based on finite element model C and the target cable force vector; determining the initial tension force vector of the hangers based on finite element model A and the target internal force vector; installing each hanger in the tensioning sequence in finite element model D; applying tension force to each hanger according to the initial tension force vector; calculating the stress-free cutting length of each hanger; extracting the deflection deformation data of the tie beam under a dead load + 0.5 times the vehicle live load through finite element calculation; and setting the pre-camber of the tie beam and arch rib based on the deformation data.

This invention relates to the fields of building information modeling (BIM) and digital twin technology, specifically a building lifecycle management system based on digital twins, comprising: an ideal benchmark reconstruction unit: fusing BIM and real-time meteorological environmental data to perform finite element calculations to generate a dynamic ideal field benchmark; a defect parameter injection unit: extracting disturbance operators and superimposing them onto the BIM to generate a theoretically damaged simulation state; a dual-track difference extraction unit: extracting the real residual tensor from the difference between the real-time sampling stream and the dynamic ideal benchmark, and extracting the theoretical residual tensor from the difference between the simulation state and the dynamic ideal benchmark; a coupled verification and decision unit: calculating the similarity comparison threshold and outputting the structural defect tracing results; and a dynamic adaptive feedback unit: updating the disturbance operators and adjusting the sampling frequency. This invention removes environmental noise, reveals the characteristics of weak structural defects, and reduces false alarms and missed alarms under extreme weather conditions.

This application discloses a method for calculating and optimizing the magnetic field of high-current lead wires based on the response surface methodology, comprising: constructing a parameterized three-dimensional nonlinear electromagnetic-thermal bidirectional coupled finite element model; selecting representative sample points in the design space using the optimal Latin hypercube sampling method, training a surrogate model based on the sample points and dynamically adding points, and outputting a set of representative sample points; performing finite element calculations on each output representative sample point, extracting the performance indicators corresponding to each sample point, and then constructing a Kriging gradient-enhanced hybrid response surface model; establishing an optimization objective function to guide the optimization direction, and then using a multi-objective optimization algorithm to quickly optimize the high-precision hybrid response surface model, generating a Pareto optimal solution set; selecting the optimal design scheme from the Pareto optimal solution set based on the entropy weight-TOPSIS dynamic decision method and performing double verification, and outputting optimization parameters and a performance report after successful verification. This application achieves synergistic optimization of performance, cost, and reliability.

This invention relates to the field of ship design technology and discloses a rudder system optimization design method based on nonprobabilistic reliability theory, comprising the following steps: S1: Determine the mechanical performance design values ​​of key components of the rudder system based on nonprobabilistic reliability indices, conduct parameter sensitivity analysis to determine the sensitive variables affecting the rudder stock torque, construct a parameterized model library, and generate a sample space through automated simulation scripts; S2: Call the parameterized model library to generate a three-dimensional model, perform finite element calculations of the rudder-propeller combination, simulate the hydrodynamic performance of the rudder system under different rudder angle conditions, and compare and analyze the results with reference data and standard calculations. By integrating nonprobabilistic reliability theory and comparing nonprobabilistic reliability indices and convex set models, parameter uncertainties are effectively handled, the reliability of the rudder system design is improved, and the optimization ideas of portal frame structures are used to reduce design constraints and improve efficiency.

The application discloses a rotor modification-based permanent magnet motor vibration noise suppression method, which comprises the following steps: creating a permanent magnet built-in rotor modification slot parameterized finite element model; adjusting the range of modification slot parameters to obtain a plurality of rotor modification slot parameterized geometric models; automatically generating parameterized rotor models under different modification slot parameter combinations by using an automatic program and finite element software, and performing stress distribution calculation under rated speed and peak speed working conditions; for the model meeting the structural strength, determining the first modification slot size based on electromagnetic finite element calculation of air gap node electromagnetic force distribution under the no-load working condition of the motor; further determining the second modification slot size based on electromagnetic finite element calculation of air gap node electromagnetic force distribution under the load working condition of the motor; and verifying the vibration noise of the optimal rotor modification slot scheme based on acoustic simulation software. The method can effectively improve the air gap magnetic flux waveform and reduce the radial electromagnetic force wave, and realizes the low noise of the motor under multi-working condition operation.