344 results about "Strain energy" patented technology

The invention discloses a pre-twisted damper fatigue life prediction method for an extra-high voltage ground wire, and particularly relates to the technical field of power transmission line vibration prevention. Collecting multi-source vibration and environment data, and constructing a vibration characteristic time sequence; amplitude, frequency and strain energy are extracted based on the multi-frequency vibration response, and a multi-frequency collaborative vibration model is established; obtaining a damper structure and material parameters, establishing a finite element model, coupling the finite element model with a vibration model, and simulating local stress response; a Rainflow counting method and a Miner damage criterion are adopted to construct a fatigue damage factor distribution matrix; predicting the residual fatigue life of the damper based on the damage evolution trend, and evaluating the replacement opportunity; according to the method, accurate fatigue life prediction and optimal replacement strategy recommendation of the pre-twisted damper under complex working conditions can be realized, and the method has high precision, high adaptability and engineering practicability.

The invention relates to the technical field of engineering simulation, and provides a self-adaptive grid generation method and device based on strain energy density error estimation, in the method, error estimation is carried out by utilizing first strain energy density of a model to be analyzed, a first estimation error of the model to be analyzed can be evaluated more accurately, and then grid division is optimized. The to-be-refined region is refined layer by layer, so that the problem of sudden change of the grid can be avoided, the stability and reliability of a simulation result are improved, the region with higher precision requirement in the initial grid can be refined, the unimportant region is kept unchanged, the calculation amount is greatly reduced, and the calculation efficiency is improved while the calculation precision is ensured. The method improves the calculation efficiency, improves the simulation efficiency, reduces the consumption of calculation resources, and achieves the efficient generation and optimization of a target grid.

The invention provides a rock mass high-temperature deformation simulation method and system based on deep learning near-field dynamics, and relates to the field of rock mass thermal-mechanical coupling analysis and research, and the method comprises the steps: obtaining the parameter information of a to-be-simulated target rock mass, including the geometric shape of the rock mass and the physical attribute of the rock mass; dispersing the target rock mass into a plurality of material points according to the parameter information, and constructing a thermal-mechanical coupling model of the target rock mass; based on the initialized thermal-mechanical coupling model, time step iterative simulation of a solid mechanical field is conducted, and finally the crack propagation process and temperature distribution of the target rock mass are obtained; according to the method, a solid field near-field dynamics theory based on strain energy density is introduced, a fluid field near-field dynamics equation is combined, temperature distribution in a rock medium is predicted through a physical information neural network, a deep learning near-field dynamics framework of rock mass high-temperature deformation damage is formed, and therefore rock mass high-temperature deformation is efficiently and accurately simulated.

According to the bearing rigidity optimization and vibration reduction design method for the rotor and the bearing system, under the condition that the structural form of the rotor and the bearing system is not subversively adjusted, the elastic bearing and the extrusion oil film damper are arranged and designed, and the bearing rigidity of the rotor and the bearing system is optimized. The fulcrum rigidity is reduced to change the strain energy distribution of the rotor and adjust the critical rotating speed, and the vibration level of the rotor, especially vibration caused by sudden unbalance and transcritical of the multi-fulcrum rotor, is suppressed.

The invention discloses a bridge health monitoring method and system based on artificial intelligence, and relates to the technical field of bridge monitoring, and the method comprises the steps: building a bridge finite element physical model based on a bridge geometric model; and performing modal analysis and strain energy analysis based on a finite element physical model, determining key nodes based on an analysis result to generate sensor candidate nodes, and optimizing the sensor layout by using a genetic algorithm. According to the method, on the basis of bridge design parameters, a finite element analysis model is used for building a physical model for a bridge, sensitive areas in the bridge are converted into key monitoring nodes according to modal analysis and strain energy analysis, and sensor layout is optimized according to the key monitoring nodes in combination with a genetic algorithm, so that high-quality data acquisition is achieved; the monitoring efficiency is maximized, the cost is reduced, and dynamic damage characteristic indexes in the bridge are comprehensively extracted by calculating parameters such as the frequency spectrum amplitude, the damping ratio and the strain energy change.

The invention provides an on-line automatic test method for the compressive capacity of a corrugated carton, and belongs to the technical field of corrugated carton production. A micro-deformation loading system is constructed to apply a test load which does not exceed 10% of the expected maximum bearing capacity, and a laser displacement sensor array is adopted to measure micro-deformation displacement data of six surfaces of the carton; and synchronously acquiring acoustic emission signals and extracting spectrum characteristic parameters. Micro-deformation data is analyzed based on a carton fiber structure physical mechanism model, stress field distribution is calculated, analysis is carried out in combination with a hierarchical attention carton strength evaluation model, a rigidity coefficient is calculated and compared with a reference threshold value, a structural weak area is identified through a strain energy distribution diagram, and a damage risk index is quantified. And comprehensively evaluating the compressive strength prediction value and the confidence interval of the corrugated carton, and outputting a prediction result, thereby realizing accurate evaluation of the compressive strength of the corrugated carton under a non-destructive condition.

The invention provides a hydraulic fracture evolution simulation method and device and electronic equipment.The hydraulic fracture evolution simulation method comprises the steps that a damaged rock mass is divided into a plurality of different calculation areas, and a seepage control equation of each calculation area is determined; in combination with seepage anisotropy, determining a seepage tensor of porous medium seepage-stress coupling in each calculation area; associating the seepage control equations of all the calculation areas with phase fields to obtain a target seepage control equation; and determining the displacement, fluid pressure and phase field of the damaged rock mass based on the target seepage control equation. Through the deduced seepage-stress coupling phase field model, the strain energy is decomposed through spectral decomposition, it is guaranteed that crack propagation occurs under the energy generated by tensile strain, and the problem that an existing hydraulic crack research method is limited is solved.

The invention discloses a multi-factor coupling action slope dangerous rock mass instability starting speed determination method which comprises the following steps: establishing a dangerous rock mass generalization mechanical model, simplifying a dangerous rock mass main control structural plane into two parts, namely a through section and a non-through main control structural plane, and controlling dangerous rock mass instability damage by a rock mass corresponding to the dangerous rock mass main control structural plane; carrying out stress analysis on the dangerous rock mass and the locking section rock mass based on the external load effect and the generalized mechanical model of the dangerous rock mass; the external load effect comprises horizontal and vertical earthquake force, frost heaving force, fracture water pressure or excess pore water pressure; determining elastic strain energy released by potential energy reduction in crack propagation of the main control structural plane of the dangerous rock mass based on a multi-factor coupling effect; and on the basis of the assumption that elastic strain energy released by reduction of potential energy in crack propagation of the main control structural plane of the dangerous rock mass is instantaneously released and converted into kinetic energy of dangerous rock mass movement, the instability starting speed of slope dangerous rock mass severe movement under the multi-factor coupling effect is determined. The invention further discloses a system, electronic equipment and a computer readable storage medium.

The invention provides a tunnel support self-adaptive adjusting method and system based on rock mass-support feedback, and relates to the technical field of tunnel engineering support. The method comprises the following steps: acquiring surrounding rock strain data and stress data through a sensor network arranged in tunnel surrounding rock, and generating original monitoring data; calculating the surrounding rock strain energy density by using a data processing unit; matching the strain energy density with a preset energy stage feature through an adaptive control algorithm to generate an energy stage matching result; determining an energy state stage based on a stage confirmation module and generating an energy stage identifier; a supporting mode switching instruction is generated through a supporting mode mapping querier; and finally, the supporting control unit adjusts the working parameters of the supporting structure, real-time monitoring of the energy state of the surrounding rock and dynamic matching of the supporting parameters are achieved, the adaptability and safety of tunnel supporting are effectively improved, and the hysteresis of manual intervention is reduced.

The invention discloses a simulation optimization method, device and system for tire multi-rubber modulus matching, and belongs to the technical field of tire simulation optimizing.The method comprises the steps that a tire and a pavement finite element model are built, and the tire and pavement finite element model comprises a three-dimensional tire simulation model and a two-dimensional rigid pavement model; matching a modulus attribute of a rubber material to which each finite element grid of the tire simulation model belongs through an orthogonal test design method, carrying out finite element calculation based on the tire and the pavement finite element model, and calculating multiple groups of stress-strain and strain energy data of target belted layer endpoints of the tire under different modulus attributes; and respectively calculating modulus characteristic values of the tire under different modulus attributes on the basis of the multiple groups of stress-strain and strain energy data of the endpoints of the target belted layer, so as to obtain the optimal modulus ratio of multiple rubber materials of the tire. According to the method, the precision and usability of simulation optimization are improved, the service life of the tire is prolonged, the utilization rate of tire design materials is increased, and the design cost is reduced.

The invention discloses a tensile total strain energy density-based life prediction method considering a stress relaxation effect, which comprises the following steps of: firstly, performing tests in a strain control mode at the same temperature to obtain mechanical response parameters and test life of a material in each test in a half-life cycle, and then calculating the tensile total strain energy density based on the mechanical response in a load holding stage. Fitting a stress relaxation model, representing the inelastic strain energy density caused by various loads by taking the area under each region of a half-life cycle hysteresis loop as a damage parameter, meanwhile, considering the complex effect of a material, correcting the influence of average stress on the life, and finally, establishing a life prediction model based on a strain energy density-frequency separation method. And the fatigue-creep life prediction is realized. The model of the method can comprehensively consider the influence of various important factors such as stress relaxation, loading waveform, loading frequency, average stress and the like on the service life, and the area of the hysteresis loop serves as a damage parameter, so that the model has certain physical significance and has high universality in practical engineering application.

The invention discloses a deep shale brittleness evaluation method based on energy evolution, electronic equipment and a medium. The method comprises the following steps: collecting basic parameters of a target stratum, and determining key parameters; carrying out a total stress-strain triaxial compression experiment according to the key parameters to obtain a total stress-strain curve of the rock core; dividing the total stress-strain curve, and respectively calculating the strain energy density related to the rock; and calculating the mineral brittleness index of the rock according to the key parameters and the strain energy density. According to the method, mineral components and energy evolution in the whole rock deformation-damage process are considered at the same time, and the brittleness characteristics of deep shale can be better reflected.

A damping partition wall design method having variable friction energy dissipation, comprising the following steps: establishing an empty frame model which does not consider the lateral stiffness resistance of a partition wall, and calculating the inter-story shear force and inter-story displacement of a structure under the action of an earthquake; calculating the elastic strain energy of the structure, and determining an expected additional damping ratio provided by the damping partition wall for the structure; determining a friction damping force-sliding displacement curve of a single group of damping partition walls, and establishing a relational expression of total friction hysteresis energy dissipation and the friction damping force and target sliding displacement of the single group of damping partition walls; comparing a calculated additional damping ratio and the expected additional damping ratio to obtain the relationship thereof, and determining the friction damping force requirement of the single group of damping partition walls; designing elastic pieces; designing anti-shearing connecting pieces; and carrying out damage control verification. According to the damping partition wall having variable friction energy dissipation, parametric design and adjustment are carried out on the basis of the design goal of the structure, so that there are regulations to follow in the design of such a damping partition wall, and the anti-seismic toughness of the partition wall and structure can be synergistically improved.

The invention relates to the technical field of intelligent scheduling, in particular to a steel structure weld fatigue cracking real-time monitoring system based on machine vision, which is characterized in that an image acquisition module acquires a high-stability image sequence in a strong vibration environment; the displacement field reconstruction module adopts a frequency domain-space domain combined decomposition technology to isolate environmental noise and material non-uniformity interference in a breakthrough manner, and an anti-noise deformation field and a stress distribution diagram are synchronously output through dual-channel parallel processing; a damage response module accurately locks sub-pixel-level crack initiation coordinates based on strain energy accumulation rate mutation, and dynamically predicts a yield risk area in combination with a displacement gradient diffusion model; the early warning module intelligently triggers graded response according to the crack position and the space coupling state of the risk area, performs positioning maintenance in a low risk area and automatic strengthening in a high risk area, and outputs heat treatment scheme coordinates when no crack exists; the system solves the problems of false detection caused by vibration noise and lagging response of single-parameter monitoring, and active protection from damage initiation to failure blocking is realized.

The invention discloses a heavy-duty gas turbine blade creep fatigue life design method considering an anisotropic effect, and relates to the technical field of gas turbine key component creep fatigue life evaluation.The method comprises the steps that orientation factor parameters on characteristic orientation are determined based on tensile data on [001] crystal orientation; constructing a modified stress relaxation formula; constructing an anisotropic failure strain energy density equation based on the pure creep performance data and the orientation factor parameters, and determining an upper platform of failure inelastic strain energy density on [001] crystal orientation; further determining an upper platform of the failure inelastic strain energy density on the feature orientation; constructing a creep damage prediction model based on a modified stress relaxation formula and an anisotropic failure strain energy density equation; and adopting the creep damage prediction model to obtain the creep fatigue life of the anisotropic turbine blade material sample. The method meets the actual requirements of service life evaluation of the high-temperature part of the heavy-duty gas turbine.

The invention belongs to the technical field of mechanical simulation and prediction of woven fabrics, and particularly discloses a modeling method and system of a hyperelastic model for simulating wrinkles of a two-dimensional woven fabric, and the method comprises the steps: building the hyperelastic model which comprehensively considers mechanical behaviors of the two-dimensional woven fabric, and the two-dimensional woven fabric is formed by overlapping and weaving warp yarns and weft yarns; determining a numerical value implementation method of the hyperelastic model in the finite element framework, wherein the numerical value implementation method is implemented through a subprogram interface; simulating a wrinkle defect generated in the deformation process of the two-dimensional woven fabric by adopting a finite element framework through a numerical value implementation method of the hyperelastic model; wherein the hyperelastic model is established by defining strain invariants of tensile deformation, shear deformation and bending deformation of the two-dimensional woven fabric, obtaining a corresponding strain energy function based on the strain invariants, and calculating membrane stress and bending moment based on the strain energy function. According to the invention, the wrinkle defect generated in the deformation process of the two-dimensional woven fabric can be accurately simulated.

The invention belongs to the field of nonlinear material mechanics, and particularly relates to a construction method and a simulation method of a hyperelastic constitutive model under global strain, and the method comprises the steps: screening a hyperelastic constitutive model which has description potential for mechanical response characteristics under global strain as a basic model; extracting a strain energy function item in the basic model; and combining the strain energy function items to obtain the hyperelastic constitutive model under the global strain. According to the superelastic constitutive model under the global strain obtained by the construction method of the superelastic constitutive model under the global strain, a user-defined subprogram is written, the user-defined subprogram is called in finite element software, and material parameters are input for simulation. Compared with an existing hyperelastic constitutive model, the method has the advantages that the mechanical response characteristic description capability of an elastomer material under global strain is improved, and a theoretical basis and a technical route are provided for subsequent researchers to construct a new hyperelastic constitutive model based on an elastomer microscopic network structure.

The invention belongs to the technical field of geotechnical engineering, and provides a stratified rock mass fracture expansion behavior model construction method, a stratified rock mass fracture expansion behavior model simulation method and system. The construction method of the fracture expansion behavior model in the stratified rock mass comprises the following steps: constructing a stratified rock mass near-field dynamic stress solving model based on a near-field dynamic non-local differential operator; the near-field dynamics non-local force density is deduced according to small deformation assumption, a near-field dynamics non-local differential operator is combined, an expression of the near-field dynamics non-local force density is reestablished, a softening criterion based on the strain energy density theory is introduced, and a stratified rock mass strain energy density softening model is constructed; based on the material mechanical characteristics of the interface between different rock stratums, a material mechanical parameter calculation model of the interface junction of the stratified rock mass is constructed; and combining the stratified rock mass near-field dynamic stress solving model, the stratified rock mass strain energy density softening model and the stratified rock mass interface junction material mechanical parameter calculation model to obtain a stratified rock mass fracture expansion behavior model.

According to the thin-wall part machining method and device, the computer storage medium and the terminal, for a first change curve of strain energy and machining deformation in the layer-by-layer cutting process, it is ensured that the machining deformation newly added in the cutting process is smaller than the overall machining deformation by one grade with the strain energy reduced by 0.9 or above relative to the initial value as the criterion, and the machining deformation is reduced by one grade; the interference of newly increased deformation of finish machining on the machining precision is effectively restrained; the second change curve of the machining deformation of the part and the cutting thickness value of the part and the process allowance change curve are only fitted within the initial boundary range, and the curve fitting strength is reduced; the finish machining allowance when the second change curve and the process allowance change curve intersect is determined as the optimal finish machining allowance, and the requirements that the newly-added machining deformation corresponding to the finish machining allowance after cutting of each layer is minimum and the finish machining allowance needs to be larger than the deformation amount of previous machining are met; and data support is provided for improving the distribution quality of the finishing allowance.

The invention discloses an equivalent deformation modulus calculation method and system for a complex uneven rock mass and a medium. Relates to the technical field of rock engineering. The method comprises the following steps: partitioning according to geological information of rock masses and counting proportions, then respectively carrying out sound wave testing on the rock masses in different regions to obtain single-hole sound wave velocities, and calculating deformation moduli of the rock masses in each region by utilizing a correlation relationship between the single-hole wave velocities and the deformation moduli; a mixed equivalent model of strain coordination and stress coordination is constructed based on the rock mass strain energy proportion so as to calculate the equivalent deformation modulus of the special uneven rock mass; a new thought is provided for obtaining deformation modulus parameters containing multiple types of altered rocks, meanwhile, a targeted investigation and test scheme is provided, and an important basis is provided for design of rock mass slopes, caverns and the like.

The invention discloses a milling path planning method and system for stress gradient steepest descent, and the method comprises the steps: carrying out the discretization of a residual stress field based on a lightweight bearing member, and mapping the discretized residual stress field to a milling model, so as to form a high-dimensional matrix; calculating a gradient vector and stress streamline distribution of the residual stress field, and according to the gradient vector and the stress streamline distribution, based on a minimum potential energy principle and a stress steepest descent strategy, performing milling path planning degradation to obtain an optimized baseline; and according to the high-dimensional matrix and the optimized baseline, milling path planning is converted into graph complete traversal with the graph theory as guidance, a steepest descent scheme of strain energy and rigidity is optimized, and an optimal milling path scheme is obtained. The method serves for precision machine manufacturing process design, and the problems of array geometric feature milling path planning and machining deformation control of current lightweight force bearing components are solved; and the method is particularly suitable for light-weight bearing components with array geometric characteristics and high dimensional precision.

The invention discloses a method for predicting mechanical properties of ultra-high performance concrete, particularly relates to the technical field of dynamic property analysis of building materials, and aims to solve the problem that sudden brittle failure of materials cannot be accurately predicted under impact and explosion loads in the conventional method. The method comprises the following steps: calculating a macroscopic stress-strain response based on a continuum mechanical equation by acquiring a material ratio parameter and a dynamic load condition; constructing topological features through the strain energy entropy change rate to locate a damage area; determining an interface debonding energy threshold value and a crack growth rate of the damaged area in combination with interface fracture mechanics; utilizing the law of conservation of energy to establish dynamic correlation between interface debonding energy and strain energy density; when the crack growth rate exceeds an interface debonding energy threshold value, correcting macroscopic response data of a sudden stress drop interval based on the dynamic association relationship; the cross-scale coupling of a microscopic damage mechanism and a macroscopic mechanical behavior is realized, and the prediction precision under a dynamic load is remarkably improved.

The invention provides a rock-soil body stability analysis method and system based on strain energy density, and relates to the technical field of rock-soil body stability analys.The rock-soil body stability analysis method comprises the steps that rock-soil body parameters of field investigation and indoor tests are obtained; combining the rock-soil body parameters, the generalized Hooke law and the Mohr-Coulomb yield criterion to obtain a strain tensor expression, and performing stress tensor calculation to obtain an elastic stress tensor, a strain tensor and a plastic strain tensor of the rock-soil body; respectively carrying out integral calculation to obtain the total strain energy density increment of the rock-soil body in different stress states; and performing stability analysis based on the total strain energy density increment of the rock-soil body in different stress states to obtain a stability abnormal area of the rock-soil body. According to the method, the elasticity and plastic deformation characteristics of the rock-soil body are comprehensively considered, and the accuracy of stability evaluation is improved.

The invention provides a composite material damage type identification method based on multiple characteristic parameters of an acoustic emission signal, which comprises the following steps: designing and carrying out an acoustic emission signal acquisition test aiming at a composite material damage evolution behavior; key acoustic emission signal features are screened out based on a principal component analysis method, and the corresponding relation between a clustering result and a damage form is verified; a transient damage contribution index is proposed based on a clustering result to represent the contribution degree of each damage to the overall damage at a certain moment, and a damage function is proposed in combination with strain energy. The method effectively solves the bottleneck problems of high feature redundancy and serious mode confusion of the traditional acoustic emission signal, perfects the spatial correlation model of the energy release rate and the damage mode in the composite material progressive damage theory, provides an experimental basis for establishing an anisotropic damage constitutive equation considering the laying layer direction, and has a wide application prospect. And a new method is provided for online monitoring of a composite material structure under a complex working condition.

The invention discloses a rock uniaxial compression damage model considering microcrack mechanical behaviors. The model reflects that rock damage is caused by slippage and extension of microcracks. According to a microcrack slippage model and an energy balance principle, a rock uniaxial compression stress-strain relationship is established, and it is considered that microcracks obey a Weibull distribution model. And further taking a strain energy density criterion as a microfracture propagation criterion, solving the wing crack propagation length of the composite fracture by adopting an iteration method, and obtaining a rock damage variable evolution equation represented by the wing crack propagation length. Therefore, a rock uniaxial compression damage model is provided, and the rationality of the rock uniaxial compression damage model is verified. Parameter sensitivity analysis is adopted to research the influence of the microcrack length, the friction coefficient and the rock fracture toughness on the mechanical properties of the rock. Research results show that macroscopic mechanical properties of the rock are macroscopic reflection of microscopic mechanical parameters of the rock, so that the rock damage constitutive model established from the microscopic perspective can better reveal the deformation and failure mechanism of the rock, and the rock damage constitutive model has a good application prospect.

The invention relates to the technical field of aviation part manufacturing and metal punch forming, in particular to an aviation volute spiral spring punch forming method which comprises the following steps: a data acquisition step: acquiring real-time modulus data and a target geometric trajectory equation of a to-be-processed plate; an energy mapping calculation step: performing energy mapping on the trajectory equation, and determining a target strain energy density distribution diagram representing the energy dissipation gradient; a potential barrier parameter determination step: determining a deformation energy potential barrier parameter of the current forming position in combination with the real-time modulus; a rheology compensation resolving step: resolving a rheology compensation control instruction set containing ultrasonic excitation and piezoelectric driving parameters based on potential barrier parameters; a dynamic forming execution step: driving the dynamic rheological compensation die system to execute stamping operation; according to the method, dimension raising from geometric shape copying to energy flow control is achieved, the fatigue life of the spring is remarkably prolonged, and geometric consistency of the spring is remarkably improved.

The invention relates to a method for constructing a deep learning potential function of a lithium alloy, which comprises the following steps of: establishing initial crystal models of magnesium-lithium alloys with different lithium contents, and carrying out structure optimization on the models to obtain equilibrium state lattice constants; and respectively constructing an elastic constant calculation model, a surface energy calculation model, an interstitial atom defect model and a vacancy defect model. The method comprises the following steps: applying a strain component, calculating a strain energy fitting elastic constant component, calculating surface energy after cutting a supercell structure and optimizing, calculating formation energy after determining a gap position, and introducing a vacancy to form the supercell structure and calculating the formation energy. And inputting the data set into a deep learning framework, optimizing model precision by adjusting truncation radius parameters, and finally generating a magnesium-lithium alloy deep learning potential function. Compared with the prior art, the method has the advantages that the problem that a classic MEAM potential function cannot accurately predict the variation trend of the basal plane fault energy along with the lithium content is solved, the defect of low calculation efficiency of a first principle is overcome, and the calculation efficiency close to that of an empirical potential function is realized.

The invention discloses a metamaterial cell based on independent chiral distortion units and a metamaterial structure. The metamaterial cell comprises two chiral units in mirror symmetry; the chiral unit comprises two ring surfaces and a plurality of elastic rods, the two ring surfaces are coaxially arranged at intervals, and the elastic rods are periodically connected between the two ring surfaces in the circumferential direction of the ring surfaces; in the same chiral unit, when the chiral unit has no external load, the elastic rods are in an inclined state, and the inclined directions and the inclined angles of the elastic rods are the same; the two chiral units in mirror symmetry share one ring surface, or a pair of ring surfaces in the two chiral units in mirror symmetry are coaxially and fixedly connected. The lattice structure is applied to the field of metamaterial structures and has high static rigidity, high bearing buckling strength, large limit strain and high elastic strain energy density, and compared with an existing lattice structure composed of the same elements, under the constraint of the same base material strength, the equivalent modulus within a small deformation range is equivalent, and the lattice structure has the advantages that the lattice structure is simple in structure and low in cost. And the bearing buckling strength and the elastic strain energy density are obviously improved.

The invention discloses a loudspeaker structure parameter optimization method and system, electronic equipment and a storage medium, and the method comprises the steps: building a finite element model for a loudspeaker, dividing parts of the loudspeaker into a plurality of units in the finite element model, setting boundary conditions and simulation, and obtaining the elastic strain energy and kinetic energy of each unit in each modal order; for each part, calculating an elastic strain energy ratio and a kinetic energy ratio of the part in the Nth-order modal according to the elastic strain energy and the kinetic energy of the units contained in the part, and determining a to-be-corrected target part; the structural parameters of the target component are updated according to the elastic strain energy ratio and / or the kinetic energy ratio of the target component in the Nth-order mode, the change of the structural parameters influences the rigidity and the quality of the target component, the elastic strain energy ratio and the kinetic energy ratio of each component in the Nth-order mode are obtained through simulation, and the elastic strain energy ratio and the kinetic energy ratio of each component in the Nth-order mode are obtained; the target component with the to-be-updated structural parameters can be efficiently and quickly determined, the optimization difficulty is reduced, and the optimization time is saved.

The invention discloses a method and a system for evaluating creep damage of a hot-end component of a gas turbine engine, and relates to the technical field of performance detection of the hot-end component of the gas turbine engine. The method comprises the following steps that time-varying load information of a dangerous area of a hot end component of the gas turbine engine is obtained according to the real-time running state of the gas turbine engine; carrying out online cycle counting on the time-varying load information of the dangerous area of the hot end component; and performing creep damage evaluation on the dangerous area of the hot part based on the strain energy density dissipation model. By adopting the creep damage assessment method based on the strain energy density dissipation model and combining the characteristics of fatigue-creep interaction, the influence of complex factors such as stress relaxation and temperature fluctuation can be comprehensively captured, the accuracy of creep damage calculation is greatly improved, the delay of a traditional offline assessment method is overcome, and the application range is wider.