273 results about "Topology optimization" patented technology

The invention provides an improved YOLOv11s safety helmet wearing detection model and an optimization method thereof, and relates to the technical field of computer vision target detection. According to the improved YOLOv11s safety helmet wearing detection model and the optimization method thereof, the improved YOLOv11s safety helmet wearing detection model comprises the following modules: a multi-modal fusion module, a space-time analysis module, a domain adaptation module, a topological optimization module and a dynamic architecture module; and the multi-modal fusion module is used for realizing feature decoupling by adopting channel separation convolution based on input RGB and near-infrared images, fusing visible light and thermal radiation features through a dynamic weight distribution algorithm, implementing affine transformation alignment on multi-scale features by utilizing a spatial transformation network, and generating a multi-modal feature graph. Through fusion of visible light and near infrared spectrum features and implementation of dynamic weight distribution, complementarity of target texture and thermal radiation features under a complex illumination condition is enhanced, and the problem of feature distortion of single-mode data in a strong backlight or low-illumination scene is solved.

The invention discloses a noise monitoring point site selection method and system based on a noise map, and relates to the technical field of environmental noise monitoring, and the method comprises the steps: constructing a three-dimensional topology network based on a three-dimensional noise intensity matrix, calculating an optimal sound propagation path through employing a quantum heuristic topology optimization algorithm, and obtaining an optimal sound propagation path; the weights of nodes in the three-dimensional topology network are optimized in combination with quantum annealing, and an acoustic topology characteristic spectrum is generated; extracting multi-scale noise propagation features through a convolutional neural network according to the acoustic topological feature map, constructing a gridding space demand matrix in combination with a monitoring equipment parameter library and coverage constraint conditions, and generating an optimal noise monitoring network site selection scheme according to the gridding space demand matrix; according to the invention, a quantum heuristic topology optimization algorithm is combined with quantum annealing to optimize the node weight of the three-dimensional topology network, and intelligent optimization and dynamic adjustment of the sound propagation path are realized.

The invention relates to the technical field of three-dimensional modeling in engineering surveying, in particular to a point cloud building component modeling method and system based on feature extraction. Three-dimensional point cloud data of building components are obtained, a multi-scale local neighborhood calculation covariance matrix is constructed with each point as the center, eigenvalues are decomposed, an edge probability graph is generated, corresponding component categories are semantically output, and corresponding key feature point sets are screened; taking the feature point cloud as a control point, constructing a three-level B-spline surface model, and adjusting the corresponding spatial distribution density; a weighted complete graph is formed through a key feature point set, a non-planar area is identified and processed through a Kurtowski theorem, a QEM algorithm is applied to carry out lightweight processing on a three-dimensional model, screening and optimization are carried out through automatically extracting key feature points of building components, and a concise and accurate lightweight model is constructed based on feature point topological optimization and a graph theory algorithm. The automation degree and efficiency of modeling are improved, and the contradiction between model lightweight and precision is effectively solved.

The invention relates to the technical field of electric power communication, in particular to an electric power communication resource topological optimization method and system based on a graph database. The specific implementation process comprises the following steps: constructing an electric power communication resource topological graph comprising communication exchange nodes, data transmission links and attribute information through a graph database; analyzing and quantifying the received business type into a routing constraint condition according to a business service level protocol; performing dynamic weighting calculation on each candidate communication path meeting the routing constraint condition, evaluating comprehensive performance indexes and outputting an optimal communication path; and converting the optimal communication path into a topology configuration instruction capable of guiding network equipment to carry out data deployment, and carrying out dynamic optimization on the power communication resource topology. According to the method, the service quality requirements of different services are quantified into dynamically adjusted routing constraints and weights, so that reasonable allocation of power communication resources and effective optimization of network topology are realized, and the working efficiency of a power communication resource network is improved.

Methods and systems for optimizing topology of a wireless backhaul communication network are disclosed. The network comprises a plurality of nodes. Each node reports load type information, indicative of data generation requirements of connected devices, and link quality information, indicative of communication link quality with neighboring nodes, to a controller. Due to the large number of possible network topologies, which precludes exhaustive evaluation, a non-analytical shortcut process is used to generate a subset of candidate network topologies. This process identifies candidate topologies based on the received load type and link quality information. The network is configured according to a selected topology from the subset, and its actual performance is measured. If performance is unsatisfactory, the network is reconfigured using another topology from the subset. The non-analytical shortcut process may utilize an AI model, a heuristic algorithm, or a combination thereof. A method of training such AI model is also presented.

The invention discloses a skeleton model manufacturing method based on a 3D printing technology, and relates to the technical field of medical treatment, and the method comprises the steps: collecting the multi-modal image data of the skeleton of a patient, carrying out the image segmentation and reconstruction, and generating a digital three-dimensional model of the skeleton of the patient; carrying out mechanical optimization and material distribution adjustment on the digital three-dimensional model by utilizing a topological optimization algorithm, designing a bionic microstructure, and outputting a three-dimensional skeleton model subjected to optimization and bionic design; the bone model which is detected to be qualified is used for generating a personalized mold, and a prosthesis which is completely matched with the bone of the patient is customized through the mold; preoperative simulation and design of a prosthesis implantation scheme are carried out based on the skeleton model, and a personalized prosthesis and an operation scheme matched with the skeleton of the patient are obtained; the structural rigidity is maximized and the material consumption is minimized by utilizing a topological optimization algorithm, so that the bone model can better meet the biomechanical requirements of a patient, and meanwhile, the bionic characteristics and mechanical properties of the model are enhanced through the bionic microstructure design.

The invention discloses a flexible structure 3D printing support control method combined with a resistor, and relates to the technical field of 3D printing, and the flexible structure 3D printing support control method comprises the following steps: generating a continuous density field and a dynamic damping parameter field of a support structure based on multi-target topological optimization of dynamic stiffness constraint and material distribution; quantifying the contact probability of the support structure and the target model through a membership function, and constructing a nonlinear gradient field of a contact interface; the stress coupling relation between the supporting structure and the model interface is defined based on the mixed constitutive tensor, the interface stress transfer coefficient is adaptively updated based on the material shrinkage rate difference, multi-physics field collaborative optimization is achieved in combination with regularization constraint, the key part of the supporting structure is recognized, and the resistor is integrated to the key part of the supporting structure. Through multi-target topological optimization, membership construction and adaptive stress transfer coefficient updating, the material consumption is reduced, the printing efficiency is improved, stress concentration at an interface is inhibited, the forming defect risk is reduced, and the structural reliability is improved.

An acoustic vibration coupling plane structure topological optimization method based on an energy finite element is characterized in that discretization processing and unit assembly of the energy finite element are carried out on an acoustic system by utilizing a unit independent grid method, an energy finite element model is constructed, and then the optimization of the acoustic performance of an acoustic vibration system is realized by combining the energy finite element model with the topological optimization method; according to the method, a unified analysis framework is provided for an acoustic vibration system, the dynamic change of a discontinuous interface of an energy density field in iterative optimization can be adapted, and a high-degree-of-freedom design space is provided; the calculation cost is reduced, the calculation efficiency is improved, and the accuracy of an analysis result is ensured.

The invention discloses a structural vibration reduction topological optimization design method based on anti-resonant frequency constraint. The method comprises the following steps: constructing a finite element model corresponding to structure parameters; obtaining an initial structure and an optimization column formula according to the finite element model; obtaining an objective function value through finite element analysis; obtaining an anti-resonance frequency correlation characteristic value through generalized asymmetric characteristic value analysis; and the design variables are updated in combination with optimization column constraints, and a topological optimization design configuration is obtained after convergence judgment. According to the method, explicit calculation and precise control of the dynamic compliance anti-resonant frequency are achieved, optimization and advanced convergence are avoided through anti-resonant frequency constraint, a clear vibration reduction topological configuration can be obtained under high-frequency excitation without additional mass, the vibration reduction performance and the static force bearing capacity of the structure are both considered, and the method is suitable for large-scale popularization and application. And the design requirements for light weight and high vibration attenuation of the structure in the fields of aerospace and the like are met.

The invention discloses a transparent panoramic management and control system based on a low-voltage power distribution network, and relates to the technical field of power distribution networks. Compared with a previous power distribution network management and control system, the problem that the accuracy and the reliability of an existing power distribution network transparency system cannot be guaranteed is solved; the data acquisition and processing difficulty is high; the intelligent level and the automation level need to be improved. A topological optimization algorithm and a transparent management and control technology are combined, so that operation data of the power distribution network can be obtained in real time, and accurate analysis and prediction can be carried out; and by utilizing technologies such as artificial intelligence and the Internet of Things, rapid fault positioning, automatic isolation and power supply recovery are realized, and the reliability and the safety of power supply are improved. Through the transparent management and control platform for the power distribution network, full transparency and full perception of the power distribution network are realized, comprehensive, real-time and accurate operation data of the power distribution network are provided, and a user is helped to better understand the real-time state of the power distribution network, predict the future operation trend, optimize resource configuration, improve the operation efficiency and ensure the reliability and safety of power supply.

The invention provides a high aspect ratio wing topological optimization method considering pneumatic-structure coupling. The method comprises the following steps: establishing a pneumatic-structure strong coupling topological optimization model; performing finite element analysis to obtain an original variable field of the high aspect ratio wing; generating a filtering variable field and a projection variable field; deformation displacement of each finite element unit is obtained based on a UMMI material interpolation model; establishing information transmission, structure displacement response, aerodynamic load transmission and aerodynamic load updating strategies under pneumatic-structure coupling, and analyzing and updating the aerodynamic load; according to the method, manufacturing constraints such as geometric nonlinearity, multi-material layout and wing rib orientation size are comprehensively considered, design variables in an original variable field are subjected to iterative optimization solution, a wing optimization configuration is obtained, the three core problems of calculation distortion, performance deviation and manufacturing difficulty in lightweight design of the high aspect ratio wing are successfully solved, and the method is suitable for the lightweight design of the high aspect ratio wing. And the comprehensive performance and economical efficiency of the aircraft are remarkably improved.

The embodiment of the invention discloses a gear pump shell topological optimization method and device based on an SIMP variable density method and a gear pump shell. The method comprises the steps that a three-dimensional model of the gear pump shell is established; performing statics analysis on the three-dimensional model to obtain stress and deformation distribution under different working conditions; taking the mass minimization of the shell as an objective function, taking stress and deformation distribution as constraint conditions, taking material distribution as a design variable, and adopting an SIMP variable density method to construct a topological optimization model; solving the topological optimization model to obtain optimized material distribution; and performing geometric reconstruction on the three-dimensional model based on the material distribution to obtain a reconstructed three-dimensional model. According to the scheme, material distribution is optimized through the SIMP variable density method, on the premise that the structural strength is guaranteed, the mass of the gear pump shell is greatly reduced, the stress distribution of the optimized shell is more uniform, and the structural stability and deformation resistance of the shell under the high-pressure working condition are remarkably improved.

The invention discloses a thermal metamaterial-based satellite component layout-deck structure integrated optimization design method, which belongs to the technical field of satellite thermal management, and comprises the following steps: carrying out geometric description on components, and carrying out interference calculation between the components; selecting a planar four-node rectangular unit discrete design domain, and representing a component temperature field as an interpolation relation of node temperature; designing an optimization target and constraint, converting the optimization target and constraint into a standard optimization column formula, and searching an optimal component layout scheme; the method comprises the following steps: carrying out topological optimization design on a satellite deck structure on the basis of a thermal metamaterial design idea, determining a thermal metamaterial function type and dividing a local deck design domain; discretizing each design unit, carrying out topological optimization design on the discretized design units, and searching a microstructure with the highest matching degree between the macroscopic equivalent heat conduction tensor and the theoretical heat conduction tensor of the central position of the design unit; and assembling the microstructure to obtain the deck structure. According to the invention, global thermal management and local thermal management of the satellite cabin can be realized.

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

The invention discloses a novel power system-oriented power distribution network topology optimization configuration method and system. The method comprises the steps of obtaining current power grid topology data of a target power distribution network and supply and demand state data of a period of time in the future; the power grid topological data comprises a global topological graph and a current topological structure; the supply and demand state data comprises power supply data and load data; performing iterative optimization on the topological structure of the target power distribution network by adopting an optimization algorithm based on a particle swarm to obtain a new topological structure; wherein in the iterative optimization process, a fitness function is constructed by taking minimization of power grid network loss and node voltage deviation as targets, a population is initialized according to a current topological structure, the fitness of particles is calculated according to the supply and demand state and the fitness function, and particle position updating is performed according to the global topological graph under radial constraints.

The invention discloses a distributed control system topological structure optimization method and system oriented to a gas turbine, and belongs to the technical field of gas turbine control. The method comprises the following steps: establishing a double-feature grid coding system fusing space coordinates and an adjacent distance matrix, and updating a shortest path between nodes by using a Floyd algorithm; designing a function-resource allocation scheme by combining engineering constraints such as node working temperature limitation and bus load uniformity; the position of a central intelligent node of the star topology structure is optimized by adopting a particle swarm algorithm, and the local wire harness length is shortened; the node connection sequence of the annular topological structure is optimized through a genetic algorithm, and the redundancy of key nodes is improved; and finally, a hybrid topological structure is formed. The example verifies that the total wire harness length of a certain type of gas turbine control system is reduced by 61.6% compared with that of a traditional centralized architecture, the signal transmission reliability is remarkably improved, the development and maintenance cost is reduced, and the method has important engineering application value.

The invention discloses a multi-objective topological optimization method for aircraft design, and belongs to the technical field of aerospace. The method comprises the steps that a three-dimensional geometric model is established, and an optimization area and an aerodynamic reservation area are delimited; describing a structural boundary by adopting a level set function; with rigidity maximization and inherent frequency maximization as targets, volume and manufacturing constraints are applied; utilizing a compromise planning method to construct a comprehensive objective function for minimizing the ideal point distance; transforming the constraint problem through an augmented Lagrangian method; calculating shape sensitivity and exporting a normal velocity field; updating a level set function to drive topology evolution; iterating until convergence, and generating a Pareto frontier solution set; and selecting an optimal scheme and reconstructing the optimal scheme into a three-dimensional model capable of being manufactured. On the premise of keeping the aerodynamic configuration, the problem of multi-target collaborative optimization is solved, the boundary is clear, the manufacturability is high, and the structural performance and the engineering applicability are remarkably improved.

The invention relates to an electronic product PCB design system and method. In the system, a data preparation and knowledge base construction module is used for collecting, cleaning and de-duplicating multi-source PCB design data and constructing a comprehensive PCB design knowledge base; the polymorphic large model construction and training module adopts a hybrid neural network based on a transformer architecture, and constructs a polymorphic large model with a cross-modal reasoning capability by jointly training a schematic diagram semantic understanding model, a layout topology optimization model and a signal integrity prediction model; the intelligent auxiliary Agent module is used for integrating a reinforcement learning agent and a rule verification agent, and providing a wiring path optimization suggestion, element type selection recommendation and design specification compliance detection in real time; and the system integration module is used for automatically designing the generation module and converting the optimization scheme output by the polymorphic large model into a final PCB design file. The system can improve the design automation level.

The present invention discloses a structural design method for a large press, which comprises the following steps: roughly designing the press; testing and measuring the stiffness and strength of the slider, column and workbench in the press; performing simulation analysis on the press model and the workpiece forming process, comparing and analyzing with the experimental results, and adjusting the simulation model according to the experimental results and the workpiece forming simulation effect; performing topology optimization on the fuselage based on dynamic loads to obtain an optimized fuselage model; the present invention uses dynamic tests to achieve the dynamic stress and dynamic displacement tests of the fuselage, and adjusts the simulation model according to the dynamic loads to ensure the dynamic accuracy index of the design.

Wireless communication assisted by a reconfigurable intelligent surface under near-field propagation faces the problem of array gain loss, and the increase of system capacity is limited. In order to further improve the communication system capacity of a large-scale intelligent reflecting surface (XL-RIS) in a near field and compensate for serious path loss, the invention provides a multi-user wireless communication system assisted by optimally deploying the large-scale intelligent reflecting surface, so that the near field range is further expanded, and the system capacity is improved. And the XL-RIS topological structure and the beam design are jointly optimized by taking the minimization of the beam gain error expected by the user as a target. In order to solve the non-convex problem, a self-adaptive tabu search algorithm, a Major-Minimization (MM) algorithm and the like are used for converting the sub-problems, and then alternate iterative optimization is carried out on the sub-problems. Particularly, on the premise that hardware cost is not increased, extra spatial freedom is obtained through selection of element positions, the user sum rate is effectively improved, and beam pointing is closer to the direction expected by the user. A simulation result verifies the effectiveness of the method, and a new solution thought is provided for the application of the XL-RIS in a near field communication system.

The invention belongs to the field of material structure optimization, and particularly relates to an isogeometric topological optimization method based on dynamic response driving, which comprises the following steps of: (1) establishing a thin shell mid-plane geometric representation model based on a T spline and Bessel extraction technology; (2) establishing a frequency response-oriented isogeometric shell unit based on the Kirchhoff theory; (3) solving the aerodynamic response of the surface of the structure based on a high-order panel method of a T spline; (4) constructing a topology description model of the thin shell based on a Bessel unit; (5) establishing a structure dynamic flexibility minimum topological optimization model oriented to the dynamic response of the pneumatic thin shell; (6) dynamic flexibility minimization sensitivity analysis and derivation; and (7) updating optimization model design variables based on an optimal criterion method. According to the method provided by the invention, a pneumatic coupling thin shell dynamic isogeometric analysis framework is constructed, and the problems of poor geometric adaptability, difficulty in complex thin shell dynamic design, lack of pneumatic environment related to optimization and the like in an existing method are effectively solved.

The invention provides a design method, device and equipment for a machine tool supporting structural member and a medium, and relates to the technical field of data processing.The method comprises the steps that a finite element model of the machine tool supporting structural member is built, and a design area is defined in the finite element model; determining a weight value corresponding to the pose change information of the moving part in each operation condition; and based on the weight value and a design response index determined by a design requirement index of the supporting structural member, an objective function and a constraint condition, executing optimization design of the design region in the finite element model, and determining a design result of the supporting structural member. According to the method, components for supporting structural parts and component combination parts are included in a unified design area, the weights of a machine tool under multiple operation working conditions are considered, collaborative topological optimization is carried out, the defect that rigidity of the structural parts is not matched due to separate design is overcome, rigidity matching of the structural parts after optimization design is guaranteed, and the design efficiency is improved. And the design precision and performance of the machine tool supporting structural member are improved.

The invention discloses a heterogeneous Internet of Things topology key node identification method in combination with a mutation theory, and belongs to the field of computers and information, and the method comprises the steps: firstly constructing an initial topology of a heterogeneous Internet of Things, generating a topology set through random disturbance, and calculating performance indexes such as robustness, redundancy, communication efficiency and a global clustering coefficient; then normalizing the indexes by using a mutation series method, evaluating the correlation between the indexes based on a Pearson's correlation coefficient, and obtaining a network performance mutation value through layer-by-layer fusion; simulating a deliberate attack process, establishing a corresponding relationship between a node deletion sequence and performance evolution, and fitting to obtain a performance evolution function; and finally, establishing a cuspidal point mutation model, and identifying critical nodes causing network performance mutation by analyzing the equilibrium state, the singular set and the bifurcation set of the model, thereby breaking through the limitation of traditional static network indexes, being capable of accurately capturing the mutation behavior of the network performance, being high in objectivity, and providing a theoretical basis for topological optimization and fault-tolerant design of the Internet of Things.

The invention discloses a power distribution network-microgrid topological structure optimization method and device, and relates to the technical field of power grids, and the method comprises the steps: setting a composite constraint condition, calling target topological structure data, and carrying out the multi-target collaborative optimization, and obtaining topological structure optimization parameters; performing grid-connected and off-grid switching analysis, and constructing transient stability control data; and controlling the power distribution network-microgrid according to the topological structure optimization parameters in combination with transient stability control data to obtain operation stability parameters, performing a power grid simulation test to verify the topological structure optimization parameters, and performing iterative correction on the topological structure optimization parameters according to a verification result until a preset index is met. And generating a topological structure optimization scheme and performing control execution. The technical problem that high-reliability and multi-target collaborative optimization cannot be carried out on the power distribution network-microgrid topological structure in the prior art is solved, and the technical effects of obtaining a topological structure optimization scheme capable of dynamically adapting to operation condition changes and realizing reliable execution control are achieved.

The invention relates to the technical field of permanent magnet motor rotor structure optimization, and particularly discloses a permanent magnet motor rotor structure topological optimization method considering the nonlinear saturation characteristic of a ferromagnetic material, and the method comprises the steps: S101, carrying out the initial parameterization and meshing optimization of a design region variable; s102, determining the performance of the actual operation condition point of the permanent magnet motor load; s103, carrying out finite element analysis on an electromagnetic field and a mechanical field of the permanent magnet motor; and S104, carrying out iterative analysis on the magnetic conductivity of the nonlinear saturated ferromagnetic material, judging whether a result is converged or not, if the result is converged, entering the step S105, otherwise, returning to the step S103, and the like. The weight of the rotor of the permanent magnet motor is effectively reduced through a lightweight design result, the lightweight design of the rotor of the permanent magnet motor is realized while the mechanical and electromagnetic properties are ensured, and a design reference for actual production and manufacturing is provided for the weight reduction design of a rotor region of a permanent magnet region.

The invention belongs to the technical field of energy storage string control, and discloses an active reconstruction control system for energy storage string dynamic equalization. The system comprises a battery unit health dynamic prediction module, a multi-target topological optimization algorithm module, a multi-target decision security verification module, a preventive management strategy planning module and an online calibration learning module, and calculates and predicts the health state of each battery unit in real time based on a preprocessed feature data set to obtain a battery health prediction report. The method comprises the steps of calculating an optimal string connection topology scheme based on a battery health prediction report, obtaining a multi-target optimization result report, obtaining a safety verification instruction report, formulating preventive maintenance suggestions based on the battery health prediction report, obtaining a long-term strategy suggestion report, and generating a model calibration report. The method has the remarkable advantages of being high in balance durability, high in multi-performance compatibility and good in battery model self-adaptive effect.

The invention provides a pollutant sampling point space topology optimization method based on CFD simulation, and belongs to the technical field of analogue simulation, and the method comprises the following steps: S1, collecting and preprocessing initial data; s2, establishing a model; s3, constructing a target function; s4, optimizing an algorithm and constructing a fitness function: optimizing the target function by using a pigeon inspired algorithm, and obtaining the fitness function on the basis of the target function; and S5, result verification. According to the CFD simulation-based pollutant sampling point space topology optimization method provided by the invention, the number of redundant sampling points is reduced by using the pigeon inspired algorithm, meanwhile, the monitoring coverage of a high-concentration area is maximized, and the sudden pollutant diffusion condition is dealt with by calculating the fitness function, so that the safety of the pollutant sampling point space topology optimization method is improved. Therefore, the response speed and effectiveness of the detection system are improved; and the optimal balance among the monitoring precision, the coverage rate and the cost is realized.

The invention discloses an SOFC bipolar plate multi-target topological optimization and comprehensive evaluation method, and belongs to the technical field of solid oxide fuel cells. The method comprises the following steps: firstly, inputting initial design data, defining a design domain and an initial design variable, and establishing a finite element discretization model of a bipolar plate structure; then, according to the performance requirements of the SOFC bipolar plate, analyzing the heat transfer performance and the flowing performance respectively, and ensuring that the bipolar plate has good heat conductivity and gas flowing characteristics; constructing a multi-objective optimization function based on an analysis result, and reasonably weighting optimization objectives of heat transfer and flowing properties; and iteratively updating the design variables by using an optimization algorithm to realize optimization of the geometric structure and material distribution of the bipolar plate. After each round of iteration, judging whether a termination condition is met, and if not, continuing optimization; and if yes, outputting a final optimization result. According to the method, the heat transfer and flowing properties of the SOFC bipolar plate can be remarkably improved, the multi-objective optimization requirement is met, and the method has high engineering practical value.

The invention relates to the technical field of data processing, in particular to an elastic frame optimization design method and system based on the finite element theory, and the method comprises the steps: constructing a nonlinear finite element model of an elastic frame, and for each node, determining the sealing reliability of the node based on the normal contact stress value, fluid pressure value and displacement vector of the node; for each unit, determining a fluid permeation trend factor of the unit based on the sealing reliability of the nodes in the unit, remodeling a material relative density iterative updating formula of the optimization criterion method by using the fluid permeation trend factor, updating the material relative density of each unit, generating an optimal topological configuration, and carrying out the optimal topological configuration; therefore, the optimal design of the elastic frame is completed. According to the method, the problem of high-pressure leakage caused by neglecting microscopic sealing in traditional topological optimization is solved, and synchronous optimization of the structural rigidity and the sealing performance under the ultrahigh-pressure working condition is achieved.

The invention relates to the field of machine tool stand column optimization, and provides a multi-target topological optimization method, device, equipment and medium for a machine tool stand column structure, and the method comprises the steps: carrying out the internal filling processing and target feature deletion processing of a three-dimensional structure of a machine tool stand column, and obtaining a target three-dimensional model; analyzing the target three-dimensional model to obtain column guide rail deformation information and column multi-order frequency; determining an optimization strategy based on the optimization constraint and the optimization target; the optimization constraint comprises upright post mass, upright post guide rail deformation information and upright post multi-order frequency; the optimization target is the total flexibility of the vertical column under multiple working conditions; based on the optimization strategy, reconstruction optimization is carried out on rib plates in the stand column at the positions of the bearing rib plates; the position of the bearing rib plate is determined based on an optimization area in the stand column. According to the method, through multi-target collaborative optimization of the machine tool stand column, the adaptability of the optimized stand column in actual use is improved.