278 results about "Structural dynamics" patented technology

The invention relates to the field of building structure safety detection, and discloses a building structure anti-seismic performance monitoring method and system. The method comprises the following steps: acquiring multi-source response data such as acceleration, displacement, strain and inclination angle; obtaining a structure standard response based on wavelet denoising and standardization processing; adopting a multi-order modal recognition algorithm to extract structural dynamic characteristic parameters; performing structural damage evaluation based on the modal change index, and combining the yield strength, the load index and the displacement margin to calculate the residual bearing capacity of the structure; and finally, outputting an anti-seismic grade early warning signal. The system comprises a structure response acquisition module, a modal identification and damage evaluation module and a residual bearing capacity calculation and early warning module. According to the method, real-time quantitative analysis of the performance of the structure under the earthquake or load effect can be achieved, the evaluation precision is high, the applicability is high, and the wide engineering popularization value is achieved.

The invention relates to the technical field of data processing, and discloses a three-section combined structure design method and system for an ultrahigh wind power generation tower. The method comprises the following steps: analyzing wind speed distribution data through a wind load-structural dynamics-material mechanics coupling algorithm to obtain rigidity distribution functions and frequency avoidance constraints of three functional partitions, performing multi-objective optimization on a lower truss section to obtain geometric parameter configuration, performing fluid-solid coupling vibration control design on a middle multi-edge transition section, and performing multi-functional partition design on the middle multi-edge transition section. And aeroelastic instability prevention and control design is carried out on the upper cylindrical section, integrated dynamic coordination processing is carried out on the three-section structure, multi-working-condition verification is carried out through a large eddy simulation-finite element coupling verification algorithm, and target design parameters are obtained. The wind power tower drum solves the technical problems that the existing wind power tower drum technology cannot break through the limitation of the 360-meter super height and cannot meet the requirements of structural safety, economical efficiency and constructability at the same time.

The invention relates to the technical field of data mining, in particular to a software operation and maintenance method and system. The method comprises the following steps: acquiring engineering simulation heterogeneous hardware data, and performing multi-physics field coupling tensor compression to obtain a multi-physics field topology snapshot; finite element grid nonlinear constraint is executed based on the multi-physics field topology snapshot, and a nonlinear contact strategy tensor is obtained; according to a non-linear contact strategy tensor coding structure dynamics intelligent contract, simulation software dynamics credibility verification is carried out, and a dynamics credible chain is obtained; constructing a hydrodynamic vortex model based on the dynamic trusted chain, and performing boundary layer separation simulation flow optimization on the hydrodynamic vortex model to obtain a vortex flow field map; performing explicit dynamic explicit integration on the vortex flow field atlas to obtain a convergence optimization field; and performing phase field damage evolution according to the convergence optimization field to obtain a multi-physics field evolution twinborn body, and deploying the multi-physics field evolution twinborn body. The method can effectively improve the utilization rate of software computing resources.

The invention discloses an analysis and design-based topological optimization method for an ocean engineering structure under continuous iterative random excitation, which takes a dynamic response displacement root-mean-square at a specified key position of complex random excitation as a target function, and adopts a virtual excitation method to efficiently solve structural dynamic random response. In order to overcome the problem of huge calculation amount consumption of structural random response dynamics optimization repeated modal solution, a continuous iterative random dynamic response optimization strategy based on analysis and design is provided, and based on an adjoint method, the efficient optimization sensitivity of structural random dynamic response is deduced, and the optimization sensitivity of the structural random dynamic response is improved. An optimization algorithm based on a moving asymptote method is adopted to solve an optimization problem. Optimization examples show that the virtual excitation method based on analysis and design can obtain almost the same optimization design on the basis of having the remarkable calculation efficiency advantage as the traditional double-circulation virtual excitation method.

The invention discloses a large flexible wing static aeroelasticity analysis method based on a physical information neural network, and belongs to the field of aircraft design. The method comprises the following steps: for the wing with the super-high aspect ratio, firstly, dispersing the wing into n spanwise sections based on a strip theory, and initializing a reference angle-of-attack parameter of each spanwise section; then, a physical information neural network (PINN) is built, unsteady flow field solving is carried out on each section, for the current ith iteration, the physical information neural network is used for sequentially traversing and extracting pressure distribution of the airfoil surface of each section, respective aerodynamic load distribution is calculated, and the generalized force of the airfoil is obtained; and solving a structural dynamics equation based on the generalized force and structural information of the wing, calculating the deformation of the large-deformation wing by using a modal rotation method, and finally, carrying out solving iterative circulation on aerodynamic force and structural deformation until the attack angle is converged, so as to obtain the actual lift force L of the wing. According to the method, the calculation precision and efficiency are remarkably improved, and different flight conditions and wing design can be adapted.

The invention relates to the technical field of floating fans, in particular to a parameter tuning method suitable for a multi-tuned mass damper of a floating fan, which sequentially comprises the following steps of: establishing a system dynamics model; defining an optimization variable and a constraint range; constructing a comprehensive fitness function; initializing a grey wolf population and algorithm parameters; executing a grey wolf position optimization updating mechanism; setting convergence judgment conditions; and outputting the optimal TMD parameter combination. According to the method, structural dynamic characteristics and an intelligent algorithm strategy are fully fused, particularly, spatial arrangement coordinates of the TMD are brought into an optimization variable domain, collaborative design of tuning parameters and arrangement space is achieved, the method is different from a single-parameter or fixed-point optimization mode, the limitation of artificial experience layout is avoided, overall suppression of structural multi-order modal response is achieved, and the method is suitable for large-scale popularization and application. The damping capacity and the stability margin of the fan structure under wind wave flow coupling excitation are improved, cross-modal and multi-source vibration cooperative treatment is achieved on the system response coordination and control strategy level, and the method has the adaptability to offshore wind power scenes.

The embodiment of the invention discloses a nonlinear system dynamic characteristic calculation method based on a structural dynamic modification method, and the method achieves the high-precision reduced-order modeling of a nonlinear structure through enabling a complex nonlinear effect to be equivalent to an additional stiffness field and combining with a structural dynamic modification algorithm. And based on the decoupled linear substructure modal space, a nonlinear correction operator is introduced, and the global dynamic response of the nonlinear structure is solved through a resolving method after modification. Structural vibration frequency, vibration shape and energy dissipation characteristics under a nonlinear effect can be efficiently obtained, and dynamic characteristics under different nonlinear amplitudes can be obtained. Compared with a traditional iteration method, the method has the advantage that the calculation complexity is remarkably reduced by equivalently linearizing a nonlinear part.

The invention belongs to the field of dam flood discharge safety, and provides a dam flood discharge safety protection method and system based on earthquake response analysis, and the method comprises the steps: S1, obtaining multi-source environment and structure data in real time; s2, preprocessing the multi-source environment and structure data to form a unified time sequence multi-dimensional data set; s3, simulating and analyzing the structural dynamic response of the dam and the flood discharge gate based on the unified time sequence multi-dimensional data set, and evaluating potential damage; s4, comprehensive risk assessment is carried out by combining the earthquake response analysis and damage assessment result, the hydro meteorological data and the flood discharge gate operation state data, and early warning information is generated; s5, generating a dynamically adaptive flood discharge gate opening and closing strategy according to the comprehensive risk assessment result and the early warning information; s6, executing the opening and closing strategy of the flood discharge gate, and monitoring the actual operation state of the flood discharge gate in real time; and carrying out comparative analysis on the actual running state of the flood discharge gate and the prediction strategy, and carrying out updating and optimization according to an analysis result.

The invention discloses a vibration and conventional fatigue load coupled nonlinear damage accumulation prediction method. The method comprises the following steps: analyzing and determining a peak stress at a dangerous point under the loading of a conventional fatigue load according to a finite element model of an engineering component; determining a stress amplitude probability density function at the dangerous point under random vibration loading according to structural dynamics analysis; searching a pre-generated material fatigue life curve; determining equivalent stress at the dangerous point under random vibration loading according to the fatigue life curve; calculating the ratio of the peak stress loaded by the conventional fatigue load at the dangerous point to the random vibration equivalent stress, and establishing a coupling damage parameter according to the vibration and conventional fatigue load coupling series; and establishing a nonlinear damage accumulation model of vibration and conventional fatigue load coupling. According to the nonlinear damage accumulation model provided by the invention, the influence of vibration, a conventional load sequence and a coupling series is considered, the parameter determination is simple, and high-precision prediction of structural damage evolution under complex load coupling can be realized.

This invention discloses a method for calculating the vibration response of a delaminated composite laminate, belonging to the field of structural defect calculation and analysis. The method includes: dividing the composite laminate with delamination defects into delaminated and intact regions based on the damage condition; decoupling the delaminated regions dynamically; describing the vibration characteristics of each component in both the delaminated and intact regions using elastic waves based on elastic wave propagation theory, and establishing vibration state vector expressions for each region; determining the compatibility relationship based on the displacement continuity and internal force equilibrium conditions at the coupling point between the delaminated and intact regions, and establishing structural dynamic equilibrium equations in wave space based on the boundary conditions of the composite laminate; solving the structural dynamic equilibrium equations to obtain the amplitudes of elastic waves of each order; and calculating the vibration response of each region of the composite laminate based on elastic wave theory and amplitude calculation. This invention solves the problem of low computational efficiency in existing methods.

The invention discloses a streaming sound mode decomposition method coupling local projection and Helmholtz decomposition, and relates to the streaming sound mode decomposition field, and the method comprises the steps: employing a local projection method to obtain turbulence coherent structure velocity field time series data and turbulence disordered structure velocity field time series data; respectively carrying out Helmholtz decomposition on the two to obtain a first decomposition result and a second decomposition result; performing divergence on the two decomposition results to obtain a first Poisson equation and a second Poisson equation respectively; carrying out numerical solution on the two Poisson equations to respectively obtain a first scalar potential and a second scalar potential; taking gradients from the two scalar potentials to respectively obtain a turbulent coherent structure acoustic mode velocity field and a turbulent disordered structure acoustic mode velocity field; obtaining a turbulence coherent structure dynamic modal velocity field based on the turbulence coherent structure acoustic modal velocity field; obtaining a turbulence disorder structure dynamic modal velocity field based on the turbulence disorder structure acoustic modal velocity field; according to the method, the flow sound mode decomposition of the nonlinear evolution flow velocity field can be realized.

The invention relates to the technical field of composite material structure dynamics analysis, and provides a method and system for predicting the inherent frequency of a three-phase functionally graded composite material conical plate, and the method comprises the steps: employing an improved Halpin-Tsai model to calculate the equivalent parameters of a GPL-containing two-phase composite matrix, solving the equivalent parameters of a three-phase composite layer, and calculating the inherent frequency of the three-phase composite material conical plate. The method comprises the following steps: constructing a nonlinear geometrical relationship between a displacement field and a strain field, calculating a stiffness coefficient of each layer, constructing kinetic energy of the three-phase composite material conical plate, calculating an energy coefficient according to the stiffness coefficient of each layer, constructing potential energy of the conical plate according to the energy coefficient, and constructing a modal displacement function by adopting a Chebyshev polynomial and a boundary function. And establishing a characteristic equation based on a minimum potential energy principle and solving to obtain the inherent frequency of the three-phase composite material conical plate. According to the method, efficient calculation of the inherent frequency of the three-phase composite material conical plate is achieved, and the reliability and engineering application value of structural dynamics analysis are remarkably improved.

The invention discloses an aerodynamic force / thermal agent model-based rapid calculation method for the thermo-dynamic elasticity of a thermal protection plate of a high-speed aircraft, and the method comprises the steps: building an unsteady aerodynamic force / thermal agent model of a thermal protection wall plate in a high-speed flow based on a Kriging agent model method; a structural dynamics method based on a finite element method is used for establishing an aeroelastic module, a transient heat conduction equation is used for establishing an aerothermal module, and a thermal protection wallboard thermodynamic elasticity analysis frame is built. Finally, the aerodynamic force / thermal agent model is used for carrying out thermal protection wall plate thermodynamic elasticity calculation and analysis. Compared with a traditional high-order method, the calculation efficiency is improved by four orders of magnitude.

The invention discloses a dynamic calculation method based on a spectral feature coding network. The dynamic calculation method comprises the following steps: analyzing a structural dynamic equation type and modal parameters corresponding to a dynamic problem to be solved; determining an input variable of the structural dynamic equation, building a spectrum feature coding layer, and mapping the input variable to a spectrum space related to the structural dynamic equation solution; constructing a neural network architecture; constructing a loss function based on physical constraint conditions of the structural dynamic equation; and training the neural network architecture under the constraint of the loss function, and solving the structural dynamic equation to respond to dynamic calculation. The input variable is projected to the structural dynamic equation frequency spectrum space, and the multi-layer perceptron fits the primary function with the clear physical meaning in the space, so that the frequency spectrum deviation problem is effectively solved, the solving precision of the high-frequency structural dynamic equation is improved, the nonlinear fitting complexity of the neural network is reduced, and the neural network performance is improved. The method enables the network to converge rapidly, reduces the number of iterations to improve the solving efficiency, and provides a high-efficiency solving thought for an engineering high-frequency dynamics problem.

The invention discloses a wind tunnel test aerodynamic force and displacement signal phase difference correction method based on self-excited vibration characteristics. The method comprises the following steps: independently collecting structure surface wind pressure and vibration displacement signals; integrating the wind pressure signal to obtain a self-excitation aerodynamic force time history; identifying the vibration frequency and the total damping ratio of the system from the displacement signal; filtering the aerodynamic force time history to extract a fundamental frequency component; based on a structural dynamic balance principle, establishing an analytic relational expression between an aerodynamic force out-of-phase component coefficient and total damping of the system; and carrying out iterative time translation on the aerodynamic force time history by taking the displacement signal as a reference until the out-of-phase component of the aerodynamic force time history meets the analytic relationship, so as to determine and correct the system delay. The invention further discloses a wind tunnel test aerodynamic force and displacement signal phase difference correction system based on the self-excited vibration characteristic and a storage medium. According to the method, electric triggering and physical transmission delay can be compensated with high precision without additional hardware, and the pneumatic parameter identification reliability is effectively improved.

The invention discloses a system-level coupling modeling method, system, equipment and medium for a multi-wind-wheel multi-tower-drum floating type wind turbine generator set, and relates to the field of simulation modeling, and the method comprises the steps that parameter information of the multi-wind-wheel multi-tower-drum floating type wind turbine generator set is obtained, and a multi-system structural dynamics model is obtained based on the parameter information of the multi-wind-wheel multi-tower-drum floating type wind turbine generator set; the unsteady aerodynamic model, the hydrodynamic model and the mooring structure dynamic model are used for outputting aerodynamic loads, hydrodynamic loads and mooring cable tension, the aerodynamic loads, the hydrodynamic loads and the mooring cable tension are fed back to the multi-system structure dynamic model, and based on a Lagrange framework, the models are subjected to joint simulation operation through a joint simulation interface, so that the mooring cable tension is obtained. And the multi-wind-wheel and multi-tower-drum floating type wind turbine generator is designed. According to the method, a complete system dynamics model can be established, and complete machine level rapid evaluation and engineering iteration under multiple working conditions can be supported.

The invention relates to the technical field of dynamics, and discloses a dynamic modeling method for a bolt boundary cone-column combined shell under a non-uniform temperature field, and the method comprises the steps: integrating the temperature dependence of material performance and a thermally induced stress field, developing a nonlinear bolt connection interface model, and considering the dynamic evolution characteristic of a friction coefficient along with the temperature. Accurate characterization of structural dynamic behaviors in a non-uniform thermal environment is realized, a non-uniform temperature field is efficiently reproduced based on a built-in heat source experimental platform, the reliability of a model is verified by combining modal and response tests, and the influence of thermally induced material degradation and an interface stick-slip mechanism on structural rigidity and damping is disclosed. The accuracy of vibration characteristic prediction in a high-temperature environment is improved, algorithm type refined matching is carried out based on the combination information of the static and dynamic waveforms of the track in combination with the artificial intelligence bionic algorithm and the standard waveform information stored by big data, the combination data of the static and dynamic waveform parameters of the track is constructed, and reliable support is provided for algorithm matching.

The invention discloses a structural dynamic response method of a physical information radial basis Kolmogorov-Arnold network, and belongs to the technical field of anti-seismic engineering. The method comprises the following steps: acquiring a data supervision range of structural dynamic response under seismic excitation, and acquiring engineering dynamic parameters in the data supervision range in real time according to a timeline; according to the method, the mechanical preciseness of a traditional numerical method is inherited through kinetic equation constraint, and the efficiency and generalization bottlenecks of the traditional method are broken through by means of the self-adaptive learning capability of the RBF network; the analysis limitation of a traditional method under non-stationary seismic excitation is solved, dependence on artificial experience is reduced through an automatic process, and a novel structural dynamic response analysis normal form with precision, reliability and practicability is provided for the field of seismic engineering. And the technology upgrade of the field from empirical driving to data-physical dual driving is promoted.

The embodiment of the invention provides a finite element-based single-working-condition internal force calculation method and a finite element-based single-working-condition internal force calculation system. The method is applied to the technical field of multi-physics field coupling simulation and finite element analysis and comprises the steps that after a single working condition is received, a preset finite element model is input for structural-thermal coupling numerical solution, and strain, temperature and material evolution state data are obtained. And calculating the inherent force of the structure according to the strain-displacement matrix and the heat conduction coefficient. And fluid-structure interaction solution is carried out to obtain a pressure field, a velocity field and frequency response data, and the fluid acting force is calculated. Structural dynamics solution is carried out, acceleration, speed and deformation data are obtained, structural dynamic additional force is calculated, and finally total internal force is obtained. According to the scheme, the stress state of the structure can be comprehensively predicted and accurately evaluated, the accuracy of structure safety analysis is improved, the test cost is saved, and the design optimization and intelligent decision-making capability is improved.

The invention discloses a small sample electric aircraft composite material combined structure dynamics modeling method based on attention element learning. Comprising the following steps: step 1, a used data set comes from vibration experiments performed on a composite material laminated wing box structure, a composite material laminated air beam structure and a composite material conical-cylindrical combined shell under different temperature conditions; under the condition of limited data, various composite material structures and environment temperatures are divided into independent task samples, each task comprises vibration test data of the structure at the respective temperature, and the data are divided into a meta training set and a meta test set; the invention relates to the technical field of dynamic modeling, meta-learning and dynamic modeling of an electric aircraft composite material combined structure are creatively fused together, the AMLT model can utilize the rapid task adaptability and the multi-task learning ability of MAML to rapidly transfer and apply knowledge to a new task, and the modeling efficiency is improved. And the method has higher adaptability and generalization ability when facing new tasks.

The invention discloses an elastic Bragg breakwater structure response prediction method, and belongs to the technical field of ocean engineering structure dynamic response prediction, and the method comprises the steps: obtaining the front and rear wave surface elevation and motion response data of a breakwater; a double-flow attention mechanism based on physical prior guidance is constructed, and wave-structure interaction is decoupled into two parallel attention flows of structural dynamic evolution and wave-structure coupling feedback; a self-attention mechanism is combined with a time decay physical prior coding structure motion feature, and a bidirectional cross attention mechanism based on a resonance characteristic is combined with a wave-structure phase relation physical prior coding coupling feature; the double-flow features are adaptively integrated through a global context fusion module, and a multi-step prediction sequence is output through linear layer decoding; and a time-frequency domain joint loss function optimization model is adopted, so that the prediction precision is improved. According to the method, physical prior is explicitly embedded into an attention mechanism and is improved by more than 16% compared with an optimal baseline model, and the generalization ability is enhanced by more than 13% under the working condition that waves do not appear.

The invention relates to the technical field of data processing, in particular to a structure dynamic stiffness analysis method based on frequency response function polycondensation substructure impedance coupling, which comprises the following steps: acquiring node information, unit connection relation and material attribute based on a global finite element model; defining a focus point set, a boundary point set and an internal point set according to the unit connection relationship; partitioning the global quality matrix, the stiffness matrix and the damping matrix to obtain a partitioned system matrix; introducing an inertia compensation term to construct a transformation matrix based on the block system matrix and the highest analysis frequency of the system, condensing the system matrix until only the freedom degrees of a concern set and a boundary point set are reserved, and calculating a dynamic stiffness matrix in a frequency domain; a dynamic stiffness result of a focus set is extracted through inverse operation of a dynamic stiffness matrix, the calculation scale is remarkably reduced through system matrix condensation, meanwhile, the inertia effect and the stiffness coupling effect of a far-field structure are strictly reserved, and the contradiction between low calculation efficiency of a global model and precision distortion of a local substructure method is effectively solved.

The invention relates to the field of urban rail transit engineering and structural dynamics, and provides an interlayer and strain rate coupled subway tunnel lining dynamic mechanical property evaluation method and system, and the method comprises the following steps: 1, preparing an interlayer-containing cement-based cylindrical sample; step 2, applying strain rate loading, and collecting original data; step 3, reconstructing stress-strain response, and performing criterion of stress balance and constant strain rate; 4, acquiring the energy absorption rate, the dynamic compressive strength and the yield inflection point strain, and recording the failure form type; 5, establishing a statistical damage model and inverting model parameters; step 6, extracting an initial damage coefficient and a damage rate, and establishing an empirical regression formula; and step 7, constructing an evaluation index set, performing grading evaluation, and outputting material optimization and process suggestions. According to the scheme, the design, checking calculation and rapid evaluation capabilities of the subway tunnel lining under high strain rate working conditions such as impact or explosion are remarkably improved.

The invention discloses an icing galloping intensity prediction method based on multi-source correction and physical constraint, relates to the field of meteorological processing, and adopts a correction mechanism of wavelet transform and generative adversarial network cooperation to improve meteorological data precision through a meteorological field multi-scale cooperation correction module; based on an icing physical mechanism, deeply analyzing module structure morphological mechanical characteristics and time sequence dynamic characteristics; calculating terrain interaction characteristics and structural dynamic parameters through a terrain-line coupling response construction module; a physical prior constrained cross-modal preferential fusion module is adopted to realize multi-source feature intelligent fusion; the prediction module based on multi-scale physical guidance performs physical correction and multi-scale output in combination with an energy balance principle; continuous optimization of a prediction result is realized through a prediction efficiency dynamic optimization module; through multi-source data collaborative correction and physical mechanism deep embedding, the problem that a traditional method is insufficient in prediction precision under complex meteorological topographic conditions is solved, and the accuracy and reliability of icing galloping strength prediction are remarkably improved.

The invention discloses a method for identifying a weak part of a loading and unloading arm and optimizing a reinforcing ring. The method specifically comprises the following steps: simulating random fluctuation characteristics in natural wind, constructing an unsteady-state wind load model, and generating a fluctuating wind speed time history based on a Davenport spectrum by superposing harmonic waves of a plurality of frequency components; establishing a nonlinear Euler beam structure dynamic model of the material, and calculating the response of the loading and unloading arm under the action of the wind load by using a Newmark-beta method; displacement, structural stress and strain energy density indexes are extracted, and weak nodes and weak section areas are identified; and an adjustable reinforcing ring structure is introduced, local rigidity optimization is performed on the weak section area, and a multi-objective optimization scheme of rigidity enhancement and quality control is formed. According to the method, efficient recognition and response driving type reinforcing optimization of the weak part of the loading and unloading arm under the unsteady-state wind load can be achieved, the method has the advantages of being high in precision, high in self-adaption, good in structure lightweight effect and the like, and many problems in traditional wind resistance design are effectively solved.

The application relates to the technical field of cantilever pouring construction, in particular to a cantilever pouring construction method and system based on a finite element method. The method comprises the following steps: constructing a multi-scale finite element analysis model, simulating structural responses in different construction stages under the condition of each age stage through the constructed multi-scale finite element analysis model, determining control parameters of the cantilever pouring construction based on the simulation results; and comparing real-time sensing data with the control parameters of the time step in the multi-scale finite element model constructed before construction, forming a structural dynamic error vector, performing dynamic feedback adjustment of the cantilever pouring construction based on the structural dynamic error vector, and determining the best construction path of the cantilever pouring construction. Through the process parameter inversion technology based on the structural response ternary function group, the application realizes accurate control of response quantities such as structural principal stress, deflection and node axial force in the construction process, and improves the bridge completion precision and structural performance consistency of the cantilever pouring.

The invention provides a nonlinear dynamic modeling, solving and control method of a linear motor, and belongs to the field of structural dynamics, and the method comprises the steps: 1) simplifying an LRA into a two-degree-of-freedom mass-spring-damping nonlinear system, and obtaining the linear stiffness and cubic nonlinear stiffness of a beam spring; (2) nBgleff discrete data points of different relative displacements of the motor vibrator and the shell are obtained through simulation, an nBgleff fitting curve is obtained, and then electromagnetic force is obtained; 3) identifying system damping parameters by combining measured data; according to the method, the goodness of fit Rnl of the model to the LRA vibration response is larger than 0.95, vibration characteristics can be accurately predicted, the LRA vibration consistency is effectively improved through the control strategy, and the tactile feedback experience is improved.

This invention discloses a method for correcting the phase difference between aerodynamic and displacement signals in wind tunnel tests based on self-excited vibration characteristics. The method includes: independently acquiring wind pressure and vibration displacement signals from the structural surface; integrating the wind pressure signal to obtain the self-excited aerodynamic time history; identifying the vibration frequency and the total system damping ratio from the displacement signal; filtering the aerodynamic time history to extract the fundamental frequency component; establishing an analytical relationship between the aerodynamic out-of-phase component coefficient and the total system damping based on the structural dynamic equilibrium principle; and iteratively shifting the aerodynamic time history using the displacement signal as a reference until the out-of-phase components satisfy the analytical relationship, thereby determining and correcting the system delay. This invention also discloses a system and storage medium for correcting the phase difference between aerodynamic and displacement signals in wind tunnel tests based on self-excited vibration characteristics. This invention requires no additional hardware and can accurately compensate for electrical triggering and physical transmission delays, effectively improving the reliability of aerodynamic parameter identification.

The invention discloses a proportional valve control method based on high-pressure multi-medium annular gap flow prediction, and relates to the technical field of hydraulic control element dynamic analysis, and the proportional valve control method comprises the following steps: collecting a real-time state signal of a micro proportional valve; inputting the collected real-time state signal into a multiphase flow transient coupling equation, calculating a velocity field and a pressure field in the micro proportional valve, and correcting the velocity field; calculating gas phase distribution according to the corrected velocity field and the real-time state signal; calculating a transient fluid load according to the gas phase distribution and the pressure field; inputting the transient fluid load into a structural kinetic equation of the micro proportional valve, and calculating the structural displacement of the micro proportional valve; calculating an opening compensation value according to the structural displacement, and converting the opening compensation value into PWM duty ratio correction; and generating a proportional valve control instruction according to the PWM duty ratio correction. Efficient and accurate prediction of the flow characteristics under the high-pressure complex working condition is achieved, and therefore the proportional valve is accurately controlled.

The invention discloses a high-precision modal test method and related equipment, and belongs to the technical field of structural dynamics tests.The method comprises the steps that spring design parameters are obtained, and spring design variables are initialized and generated; calculating stress field characteristic parameters based on the spring design parameters and the spring design variables; evaluating stress field characteristic parameters based on preset stress field constraint conditions; under the condition that the stress field characteristic parameters meet the stress field constraint conditions, spring design variables are output to serve as spring design results; and preparing a spring based on a spring design result, and completing a modal test. According to the method, the stress field quantification constraint condition is introduced in the modal test instrument spring design stage, the characteristic parameters of the modal test instrument spring are evaluated, the modal test instrument spring design precision and reliability can be effectively improved, the spring design iteration period is remarkably shortened, the modal test precision and stability are improved, and the modal test efficiency is improved. And the design requirement of the high-reliability spring is effectively met.