228 results about "Design domain" patented technology

The invention provides a multi-sealing method and system for a high-vacuum die-casting die based on topological optimization, and relates to the technical field of die structures.The multi-sealing method comprises the steps that a sealing structure parameterized model is established, geometric parameters and boundary conditions of a cavity wall face are obtained, an initial design domain is constructed, and grid units are divided; carrying out topological optimization calculation based on a multi-objective function considering contact stress distribution, and iteratively optimizing the relative density of grid cells by adopting an SIMP method; and according to the obtained topological configuration of the sealing structure, multiple sealing structure design is carried out, a three-dimensional entity model is constructed, and the sealing performance is verified through finite element analysis.

The invention belongs to the technical field of material structure optimization, and discloses an enhanced structure design method and system for a three-period minimal curved surface, and the method comprises the steps: modeling a geometric model of the three-period minimal curved surface, and exporting the model; expanding a design domain of the geometric model to obtain a corresponding expanded design space of the three-period minimal curved surface; a design space file is converted into an analysis data structure, a general expression mode is constructed for the three-period minimum curved surface, an equal geometric element stiffness matrix is solved by using a Gaussian integral method and the elastic performance of each point in a design domain and assembled into a global stiffness matrix, and the structural response of the model is solved; constructing a local density distribution function in the Bayesian unit, and assembling all LDDFs to obtain a global density distribution function for presenting structural topology; and constructing a stiffness maximization topological optimization mathematical model for the TPMS, calculating an objective function and analyzing sensitivity, and carrying out iterative updating on design variables in the optimization model based on an optimal criterion method to obtain a reinforced structure configuration.

The invention discloses a circuit EMI suppression-oriented multi-knowledge collaborative distillation and optimization method and system, and the method comprises the steps: constructing a basic large language model based on the circuit design of the electronic industry as a student model, and carrying out the adaptive optimization of the circuit design field. Thirdly, integrating the formalized EMI rule base, the simulation data / model base and the expert experience case base, constructing a multi-source heterogeneous teacher knowledge system, and generating a comprehensive guidance signal G; then, candidate circuit design generated by a student model is evaluated through the system, and a multi-objective loss function including basic distillation, rule conformity, performance fitting and expert experience consistency is constructed; according to the method, the universality is reserved by quantifying differences, compliance is ensured through punishment, the performance difference is reduced, dynamic weight adjustment is introduced, and the model performance reaches a preset target through iterative distillation. The model can understand and process terminologies and design rules in the field of circuit design, and the defect that a general AI model lacks domain knowledge is overcome.

The invention provides a thermal-mechanical coupling topological optimization method for a thin-wall non-uniform filling structure, and the method comprises the steps: 1, building a finite element model according to design requirements, and determining a non-design domain and a design domain; 2, initializing a design variable, and then obtaining a local volume fraction polymerization field through one-step filtering; 3, describing the distribution of a material in a design domain; 4, thermal coupling finite element calculation is carried out, and a structural displacement field U is solved; step 5, performing corresponding sensitivity analysis; 6, submitting the sensitivity to a moving asymptote algorithm solver to update an overall topology field and a dot matrix density field; and step 7, checking whether an iteration stop condition is met or not. According to the invention, the lightweight design of the power battery module bracket structure facing the thermal elasticity problem is realized; according to the power battery module support with the thin-wall non-uniform filling structure characteristic, the structural rigidity is improved, and meanwhile, the good heat dissipation performance is shown.

The invention discloses a force-heat coupling simulation and structure optimization method and system for an ultra-complex structure, and the method comprises the steps: generating parameters and data structures required by subsequent simulation and optimization for a given model and a design domain; comprising the following steps: constructing a background coarse grid, constructing a seed point and a radius, modeling a porous structure based on a voronoi structure, and pre-calculating a stress field of the porous structure; calculating a density field, performing thermodynamic simulation on the generated porous structure based on the background coarse grid and the shape function according to the density field, querying a stress matrix corresponding to each seed point according to the obtained stress field, and performing characteristic decomposition and extraction on the stress matrix to obtain a weight matrix corresponding to the seed point; a topological optimization method is used, control parameters are updated through a GCMMA method according to the sensitivity, and therefore the porous structure is updated, material distribution is optimized, and optimization is conducted continuously till the change of the control parameters is smaller than a threshold value. According to the method, the topological optimization problem of the anisotropic porous structure under the multi-physical-field condition can be quickly and effectively solved.

The invention provides a topology and morphology integrated optimization design method for a thin-walled structure. The method comprises the steps that 1, a finite element model is established according to design requirements; 2, extracting a thin-wall structure morphology distribution field # imgabs0 # through two-step partial differential equation filtering and Heavide projection operation; 3, constructing a material attribute rational approximation model in combination with the thin-wall morphology distribution field # imgabs1 # and the topological density field v obtained in the step 2, thereby obtaining an elastic modulus E and mass rho in a design domain; 4, performing finite element analysis in combination with the material interpolation model, and calculating the flexibility of the structure; 5, solving to obtain the sensitivity of the structure flexibility and the quality relative to the design variables; step 6, updating the morphology design variable mu and the topology design variable v of the thin plate by adopting a moving asymptote method; and step 7, when a convergence condition is satisfied, stopping optimization iteration and outputting an optimization result. According to the method, the maximum forming angle of the thin-wall structure is controlled by adjusting the filtering radius of the anisotropic filter, and the stamping forming process is met.

The invention discloses a topological optimization method for a thermal stable bearing support structure, which relates to the field of structure optimization, and comprises the following steps: defining a design domain and a non-design domain, and completing initialization setting; based on the density filtering function and the projection function, converting the design variable into a physical variable; establishing an interpolation model of the elastic coefficient and the heat conductivity coefficient; constructing and assembling a heat transfer matrix and a stiffness matrix according to the finite element mesh model; executing heat transfer simulation to obtain an equivalent thermal load of the unit; statics simulation is executed, and design response is calculated; calculating the sensitivity of the design response to the design variables; establishing an optimization model, solving the optimization model based on a moving asymptote algorithm, and updating design variables; and post-processing an optimization result to generate a support structure with a smooth surface. Aiming at the thermal-mechanical coupling optimization problem under environmental thermal fluctuation, the bearing structure with high specific stiffness and thermal deformation resistance is obtained, and the problems that a traditional method is low in stiffness and prone to failure under large environmental fluctuation are solved.

The invention relates to the technical field of topological optimization, and discloses a thermal coupling multi-scale parallel topological optimization method for additive manufacturing, and the method comprises the steps: dividing a macroscopic design domain into a plurality of macroscopic sub-design domains through a fuzzy C clustering method, and mapping the information of the macroscopic sub-design domains on the microcosmic level as the constraint condition of microcosmic optimization; performing equivalent static conversion on the transient temperature load, and introducing an equivalent thermal load into the multi-scale topological optimization model; macroscopic and microscopic thermal coupling finite element analysis is carried out according to the thermal coupling control equation, and a displacement vector matrix is solved by using an HHT-alpha method; sensitivity analysis is carried out on macro and micro objective functions and constraint conditions, and a moving asymptote MMA method is used as a solver for macro and micro design variable updating; and filling the microstructure into the macroscopic configuration to obtain an overall configuration, judging a convergence condition, and if the condition is met, outputting an optimal material distribution structure and an optimal microscopic configuration. The method can better reflect the real working state of the workpiece.

The invention belongs to the related technical field of structure optimization, and discloses a full-scale topological optimization method of a structure under dynamic load, which comprises the following steps of: (1) constructing local volume constraints to represent the allowable maximum material volume in each grid neighborhood of the structure to be optimized, and aggregating all the local volume constraints in a design domain into a total constraint; (2) dispersing the duration of the dynamic load, performing dynamic finite element analysis in each time step, taking a continuous density field of the structure as a design variable, minimizing the dynamic flexibility of the structure as a target function, taking a dynamic balance equation of the structure as a control equation, and constructing a constraint function based on global volume constraint and local volume constraint obtained by aggregation, so as to obtain a dynamic load; further constructing a full-scale topological optimization model under the dynamic load; and (3) solving the control equation, carrying out dynamic finite element analysis on the to-be-optimized structure, and solving the full-scale topological optimization model to obtain the optimal density distribution of the structure. The method considers the influence of the dynamic load.

The invention provides a heterogeneous dot matrix geometric continuity fusion and strain energy driven multi-scale design method and system and application, and relates to the field of structure lightweight design and additive manufacturing. The method comprises the following steps: establishing a three-dimensional lattice model and carrying out numerical calculation on a lattice structure of the three-dimensional lattice model to obtain a discrete value associated with a mechanical property numerical value and density of the lattice structure; performing grid division and topological optimization on the three-dimensional dot matrix model according to voxel units with preset sizes, and outputting a unit node displacement field and a voxel unit density field; calculating a strain energy value at each dot matrix unit node to obtain a dot matrix cell element configuration distribution field; according to the configuration field of the lattice cells and the density field after voxel unit interpolation, geometric continuity fusion optimization is carried out on the heterogeneous cell boundary part of the lattice structure, and then a three-dimensional lattice model is output; and the three-dimensional dot matrix model serves as an input model for additive manufacturing. According to the method, ordered self-adaptive distribution of TPMS lattice configuration and relative density in a design domain can be realized, and a high-rigidity heterogeneous fusion lattice is obtained, so that the method is applied to additive manufacturing.

The invention relates to the technical field of vehicle frame structure optimization, and discloses a vehicle frame structure optimization method and system based on an SIMP-PLSM fusion method, and the method comprises the steps: building a vehicle frame geometric model, and defining a design domain of the vehicle frame geometric model and a plurality of preset first boundary conditions under different working conditions; topological optimization software is adopted to carry out topological optimization calculation on the geometric model of the vehicle frame under each working condition by utilizing an SIMP-PLSM fusion method, and a first topological optimization model under each working condition is obtained; carrying out rigidity analysis on the first topological optimization model under each working condition by adopting finite element analysis software, and obtaining a weight value of each working condition according to a rigidity analysis result; and performing weighted average processing on the topological optimization target of each working condition by adopting topological optimization software according to the weight value of each working condition, and performing topological optimization on the geometric model of the frame again by utilizing an SIMP-PLSM fusion method to obtain a topological optimized frame model under multiple working conditions. The optimization efficiency is high, the optimization result is good, and the manufacturability and practicability of the optimized structure are high.

The invention belongs to the field of intelligent manufacturing and engineering design, and particularly relates to an industrial fan structure optimization design method and system based on AI assistance. According to the method, structural components of an industrial fan are modeled into a multi-node topological structure, a dual-channel performance prediction model is constructed, and the mapping relation between the structure and the performance is accurately established. On the basis, a comprehensive objective function is constructed, a boundary penalty mechanism is introduced, a virtual input parameter space is constructed in combination with a structure disturbance sample, a strategy gradient optimization method is adopted to carry out structure search and iterative optimization, and finally a structure scheme meeting boundary conditions and optimal performance is screened out through simulation verification. The system module comprises structure modeling, model training, objective function construction, disturbance generation, optimization execution, simulation verification and result output, and has the advantages of high structure identification precision, high optimization efficiency, strong engineering adaptability and the like.

The invention relates to the technical field of lattice structure topological optimization, and discloses a multi-scale hybrid lattice structure double-variable topological optimization method, which comprises the steps of defining double variables, including a first design variable as a scaling scale and a second design variable as a relative density; determining a basic unit cell of the hybrid lattice structure and obtaining a corresponding unit cell size, wherein the second design variable is determined based on the unit cell size; obtaining a first filling unit cell and a second filling unit cell; determining a design domain, and filling the first filling unit cells and the second filling unit cells into the design domain by taking the flexibility minimization of the hybrid lattice structure as a target and the volume fraction as a constraint; and optimizing the filling process based on a moving asymptote optimization algorithm so as to carry out topological optimization of the hybrid lattice structure based on double variables, and outputting an optimized multi-scale hybrid lattice structure. According to the industrial bearing structure, higher structural specific stiffness, specific strength and energy absorption efficiency are achieved, and the requirements for light weight, self-adaption and high performance in an existing industrial bearing structure can be met.

The invention belongs to the technical field of impact load attenuation and topological optimization, and particularly relates to an anti-impact super structure optimization method based on explicit topological description, which comprises the following steps: S1, constructing a two-dimensional unit cell library based on explicit topological description; c4v symmetry is adopted for unit cells under the topology description method, two-dimensional unit cells are generated by dividing an original square design domain, and the coordinates of randomly generated control points and width information of an initial component are used for obtaining the two-dimensional unit cells of various different configurations; s2, impact environment description based on an impact response spectrum; s3, carrying out modeling analysis through the ABAQUS of the Python interface; s4, verifying whether the unit cell configuration can attenuate the impact or not; and S5, optimizing the process. The method can utilize an explicit topology description method to detailedly describe the geometric characteristics of the structure through the clear geometric boundary of the explicit topology description method.

The present application discloses a method and device for modeling and topological optimization design of a reinforced flat plate with an embedded acoustic black hole. The method includes: dividing the design domain into units based on design variables to construct a collaborative optimization model; dividing the reinforced area with solid units and the flat plate area with variable thickness shell units to simulate acoustic black holes; coupling the variable thickness shell units with the solid units and determining the stiffness matrix; introducing maximum size constraints and / or geometric non-interference constraints and / or geometric-topological non-interference constraints and / or draft constraints in the design process; solving the sensitivity of the design variables based on the optimization target combined with the stiffness matrix to obtain the optimization result; if the optimization result does not meet the convergence condition, redefine the design variables based on the sensitivity. It solves the problem that the existing vibration reduction means are difficult to efficiently realize the lightweight vibration reduction design of thin-walled structures. It takes into account the structural stiffness and the vibration and noise reduction characteristics of the medium and high frequencies, realizes the structure-function integrated design, and reduces the dynamic response of the thin-walled structure.

The invention belongs to the technical field related to structural topological optimization, and discloses a method for optimizing a mobile deformable component by introducing topological variables. The method comprises the following steps that for a given design domain, design variables of all assemblies in the design domain are constructed, and the design variables comprise geometric variables and topological variables; constructing a topology description function containing a topology variable of each component by using the design variable of each component, and constructing a topology description function of an integral structure formed by connecting all the components by using the topology description functions of all the components; constructing an optimization model which takes the minimum flexibility value of the overall structure as a target and takes a design variable as an optimization object under the available volume constraint and the topological variable constraint; and initializing the design variable of each component, solving the optimization model and obtaining the optimal design variable of each component so as to realize the optimization of the structure. According to the invention, the optimization efficiency is improved, and the problem of assembly overlapping in the optimization structure is solved.

The invention discloses a meshless EFGM and style migration-based multi-material structure topological optimization method, which comprises the following steps of: (1) inputting material attributes such as Young modulus, shear modulus and Poisson's ratio of a structure, and discretizing a design domain by using meshless nodes; (2) transforming the designed meshless density field to obtain a physical density field, and performing length scale filtering; (3) an alternating active phase algorithm is executed, and the displacement field, the system flexibility and the related sensitivity of the structure are solved based on the meshless EFGM; (4) executing a neural style migration program to calculate the difference between the current topological structure and the reference style image, and calculating the derivative of the physical density field of the topological structure to the network parameter; and (5) updating a design variable by using a moving asymptote algorithm, and judging whether an optimization loop is converged or not. According to the method, based on meshless EFGM and style migration multi-material structure topological optimization, topological structures with different artistic styles can be designed, and the method has engineering application value.

The invention discloses a thin-wall structure topological optimization design method, device and system, and a storage medium. The method comprises the following steps: calculating any unit density in a design domain according to a structure topological optimization model; calculating a displacement vector according to the density of any unit in the design domain, the total stiffness matrix and the external load vector; calculating the structural flexibility according to the element stiffness matrix and the displacement vector; according to the unit density and the structural flexibility, obtaining the sensitivity of the target function and the constraint function to design variables; establishing a topological optimization model by taking the minimum structural flexibility as a target function, taking the welding spot area as a constraint condition and taking a design variable as a normalized height; and according to the sensitivity of the target function and the constraint function to the design variables and the topological optimization model, performing updating iteration on the design variables by utilizing an MMA algorithm to obtain an optimized structure. By the adoption of the technical scheme, on the premise that the technological constraint of the superplastic forming technology is met, the structure with the excellent mechanical property is obtained.

The invention discloses a connectable multi-configuration lattice structure topological optimization method, system and device based on transition unit cells and a storage medium. The method comprises the steps that interpolation is conducted on rod diameters of M kinds of basic unit cells to obtain the transition unit cells; respectively calculating equivalent elastic matrixes of the M basic unit cells and the transition unit cells by adopting a homogenization method; according to the relative densities and the equivalent elastic matrixes of the basic unit cells and the transition unit cells, respectively calculating the relative densities and the elastic matrixes of the units by utilizing a multi-material interpolation formula; constructing a topological optimization model of the connectable multi-configuration lattice structure based on the transition unit cell, and optimizing the sensitivity of the target function and the volume constraint to the design variables in the design domain based on the topological optimization model until the topological optimization model converges; in the optimization process, a moving asymptote method is adopted to update design variables; and obtaining an optimized structure according to a design variable corresponding to the converged topological optimization model. According to the invention, the problem of connectivity between microstructures is solved by using the transition unit cells, the geometric configuration of the basic unit cells does not need to be limited, and the mechanical potential of the structure is improved.

A method includes defining a design domain for a meta-element configured to be attached to an edge of thin wall structure with an arbitrary boundary condition, and executing a topological optimization process on the design domain and providing a topology optimized shape for the meta-element. The topological optimization process includes an objective function that minimizes a reflection coefficient of flexural waves in the audible frequency range propagating towards and impinging the meta-element.

Apparatus and method achieve topology optimization with bidirectional mesh adaptation. A mesh engine generates a mesh for a geometry of a computer aided design model of a design domain. A multi-physics simulator derives of physical field variables on the mesh based on material properties and boundary conditions of the design domain. An adjoint sensitivity is determined based on a given cost function and sensitivity formulation to drive a design variable lower or higher, the design variable defining a density of the design domain. An optimizer determines an optimization yielding a new set of design variables based on the adjoint sensitivity. A bidirectional mesh adaptation is performed on regions of the mesh by coarsening or refining the mesh element size. The multi-physics simulation, optimization and mesh adaptation are iteratively performed until optimized convergence criteria are met.

The invention discloses a topological optimization design method for a bearing structure of a wall-mounted box, which relates to structural design and comprises the following steps of: determining specification parameters of a box according to a use scene and a purpose of a required bearing structure, and establishing a required maximum envelope model of the box according to the specification parameters; the maximum envelope model of the box body is used as a topological optimization object, and a design domain and a non-design domain of the maximum envelope model are configured to be discrete into finite element models; carrying out topological optimization analysis on the finite element model of the box body by adopting a variable density method; main material layout features are extracted according to the optimization result, so that a box body main force bearing path meeting the machining requirement is determined, and structural model reconstruction is carried out; and on the basis of the reconstructed topological configuration, local strength is checked through structural mechanical simulation analysis, and local structural features are adjusted, so that the overall mechanical property of the box structure meets the requirements. The invention provides a wall-mounted box body structure force bearing optimization checking means, and the performance of the box body structure under the severe working condition is improved.

The invention provides a topological optimization method for a tension / compression structure. The method is based on a three-phase material model formed by pure tension, pure compression and empty attribute materials. According to the method, the discrete design domain of the mixed stress unit is adopted, the unit tension / pressure state judgment criterion based on the principal stress value and the tension / pressure tolerance is formulated, the tension / pressure state of the unit can be more accurately determined, and therefore material distribution based on the unit stress state is achieved. And finally, deriving the sensitivity of the target function to the design variable, and filtering the sensitivity by using a three-field filtering technology.

The invention belongs to the technical field of design optimization methods of connecting rod jumping mechanisms, and particularly relates to a topology design optimization method and optimization structure of a connecting rod jumping mechanism. According to the method, division of a design domain and a non-design domain is provided based on optimization of the connecting rod jumping mechanism, and jumping mechanism design can be carried out on the premise of ensuring calculation convergence and high efficiency. Meanwhile, after the connecting rod configuration meeting the functional requirements is obtained, a method for optimizing the size parameters of the connecting rod and the number, the rigidity value and the installation position of the energy storage spring based on the angle of energy is provided. Compared with a traditional method for optimizing the size parameters of the connecting rod, the method avoids the situation that the relation between the position of each rod piece and the input angle is established through formula derivation, the position of the rod piece at each moment is obtained based on the energy minimization principle, automatic comprehensive optimization of different connecting rod configurations can be achieved, and the calculation efficiency can be effectively improved.

The invention provides a failure safety topology optimization design method under a dynamic load. The method comprises the following steps: step 1, defining a design domain and design parameters of a structure; 2, performing transient dynamic analysis on the structure; 3, calculating to obtain an equivalent static load of the dynamic load; 4, performing failure safety topological optimization design on the model under the equivalent static load; the maximum flexibility of the minimization structure under the local failure condition is taken as an optimization target; carrying out optimization iteration on the design variable unit density by using a moving asymptote method until the internal loop failure safety topological optimization process is finished; and 5, according to the design variable updated after the failure safety topological optimization, judging whether an outer circulation convergence condition is met or not. According to the method, the possible local failure condition of the structure is fully considered in the design process, and the performance of the structure under the local failure condition is improved; the dynamic load under the original working condition is converted into the static load through the equivalent static load method, and the calculation efficiency of the optimization process is effectively improved.

The invention relates to the technical field of fluid pressure loads, in particular to a fluid pressure load floating projection topological optimization method based on mworks. According to the technical scheme, the method comprises the following six steps: step 1, defining a design domain and load boundary conditions in MWorks, and dividing grids; the method comprises the following steps of: (1) carrying out iteration convergence and defining initial optimization parameters at the same time, (2) carrying out finite element analysis and calculating a target function, a constraint function and the sensitivity of a corresponding unit, (3) updating design variables in MWorks by adopting a floating projection method, (4) carrying out smooth design on the structure if iteration convergence is carried out, and (5) repeating the steps (2)-(3) if iteration convergence is not carried out. And step 5, judging whether the smooth solution is convergent or not, and if not, repeating the steps 2-4 until the program is strictly convergent. According to the method, a floating projection topological optimization method is adopted, the design is gradually pushed to 0 / 1 through beta iteration, all penalty coefficients are replaced with one parameter, the model is greatly simplified, and the workload is reduced for optimization design.

The invention discloses a precise positioning-oriented explicit topological optimization design method for a compliant hinge, which comprises the following steps of: establishing a compliant hinge topological optimization design region, and defining a design domain and a non-design domain; establishing a bottom layer finite element analysis framework in the design domain and the non-design domain; describing a pseudo-density field of the compliant hinge in a design domain by using a variable-width assembly taking a Bezier curve with control points at two ends constrained as a central skeleton; establishing a compliant hinge explicit topological optimization mathematical model described based on a variable-width assembly taking a Bezier curve with constrained control points at two ends as a central skeleton; calculating the sensitivity of the explicit topological optimization mathematical model of the compliant hinge; and solving the explicit topological optimization mathematical model of the compliant hinge through an optimization method by utilizing sensitivity, performing optimization to obtain an optimal design variable, and extracting the optimal design variable to express the contour of the compliant hinge. The flexible hinge which is high in rotation precision, high in rotation flexibility and easy to machine and manufacture can be obtained through optimization design.

The present invention discloses a multi-objective thermal-fluid topological design optimization method for the cooling element of a precision gear grinding machine tool, comprising the following steps: Step 1: Define the design domain: Expand the cooling element into a plane, define a two-dimensional design domain representing the cooling element's geometric structure, and discretize it using the finite element method; Step 2: Numerical modeling: Model the cooling element as a porous medium; Under the conditions of laminar incompressible flow, the fluid dynamics are governed by the dimensionless forms of the continuity equation and the momentum equation; The fluid-solid coupled heat transfer model is governed by the dimensionless energy conservation equation; Step 3: Construct an objective function: The optimization objective is defined as a weighted function of heat transfer and fluid dissipated power, and a fluid-solid heat transfer topological optimization model is constructed; Step 4: Solve the objective function; Step 5: Restore the shape and structure of the cooling element. The present invention also discloses a precision gear grinding machine tool and a cooling element.

This invention discloses an optimized design method for support structures to control thermal stress in metal additive manufacturing, relating to the field of metal additive manufacturing. The method includes the following steps: defining a design domain and a non-design domain; initializing design variables; converting design variables into physical variables through density filtering and projection; establishing an interpolation model between the physical variables and the overall structural stiffness; performing finite element simulation on the layer-by-layer additive manufacturing process of the overall structure to obtain the thermal deformation of the overall structure; and calculating the maximum thermal stress σ of the structure. pn The proposed method involves calculating the volume fraction V of the supporting structure and the suspension angle constraint response G; determining the sensitivity; updating the design variables to solve the optimization model; determining whether convergence has occurred; and post-processing the optimization results. The structure designed by this method ensures that the thermal stress of the overall structure is controllable after additive manufacturing, avoiding cracking and delamination caused by excessive thermal stress.

The invention provides a structure multi-parameter rapid calibration method capable of simultaneously meeting multi-scene operation requirements, and belongs to the field of structure design, and the method comprises the steps: S1, inputting a multi-parameter initial value of a to-be-calibrated structure; s2, successively carrying out finite element pre-processing, solving and post-processing on an operation scene of the structure to obtain a finite element simulation result of the structure; s3, performing data acquisition, data alignment and data alignment according to a structural finite element simulation result in combination with standard data; s4, performing data comparison through multiple methods to obtain a comparison result; s5, constructing a structure credibility evaluation system, performing confidence evaluation on a comparison result, if the comparison result is credible, ending calibration, and otherwise, turning to S6; and S6, carrying out sensitivity analysis on the parameters, giving out calibration values of the parameters, inputting the calibration values into S1, and repeating the steps S1 to S6 until the confidence coefficient is credible. According to the method, calibration of multiple parameters of the structure in multiple operation scenes can be completed in a short time, and the method has high accuracy and reliability.