43 results about "Structural dynamics" patented technology

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.

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.

This invention belongs to the field of structural dynamics testing and modal analysis technology, and provides a physical / mathematical integrated experimental modal analysis method, system, equipment, and medium. The method includes: applying preliminary excitation and using the phase separation method to obtain preliminary modal parameters containing mode shapes; constructing a mode shape matrix based on the mode shapes and optimizing the position and number of exciters to ensure that the modal participation values ​​of all modes of interest are not lower than a preset threshold; performing refined excitation according to the optimized scheme, locking the resonance state using the phase resonance method, and obtaining the final modal parameters. This invention effectively solves the problems of blind excitation point placement, modal confusion, and mode omission by coordinating three stages: phase separation initial screening, mode shape-driven excitation optimization, and phase resonance fine measurement. It significantly improves the integrity, accuracy, and efficiency of modal testing of large structures and reduces experimental safety risks. It is applicable to ground vibration tests of complex structures such as aircraft, spacecraft, and bridges.

This invention provides a dynamic management method and system for multi-level assessment indicators of the resilience of nearshore bridges throughout their entire life cycle, relating to the field of structural resilience assessment and management technology. The method includes: acquiring multi-source heterogeneous maintenance data streams throughout the entire life cycle of the nearshore bridge; processing these data streams through time-series alignment and feature dimensionality reduction mapping to obtain a basic feature matrix of the bridge's service status; and performing conditional routing and data stream processing based on this basic feature matrix to obtain corrosion evolution calculation potential field distribution data, structural dynamic stiffness attenuation tensor, and structural life-cycle degradation confidence distribution vector. This invention accurately obtains resilience indices that truly reflect the bridge's resistance to degradation through multi-step quantification calculations, clarifies the sensitivity differences of assessment nodes, formulates differentiated dynamic maintenance strategies, and constructs a closed-loop management system throughout the entire process, thereby achieving intelligent bridge maintenance, improving maintenance efficiency, and reducing costs.

This invention discloses a rapid evaluation method for the enhancement factor of the dynamic coefficient by the high-frequency component of a strong impact load, belonging to the field of structural dynamic response analysis technology. This method performs time-frequency domain energy accumulation analysis on the strong impact load signal, extracts the concentrated frequency of load energy and its proportion in the total energy, and then, based on this, combines the dynamic amplification factor under the triangular time history assumption to quantitatively calculate the enhancement factor of the dynamic coefficient by the high-frequency component of the strong impact load. This method is further extended to arbitrary frequency components and the entire frequency band to obtain the comprehensive enhancement result of the dynamic amplification factor by the high-frequency effect of the strong impact load. Compared with traditional dynamic analysis methods based solely on idealized time history assumptions, this invention can introduce the real time-frequency characteristics of strong impact loads while maintaining computational efficiency, effectively compensating for the insufficient consideration of high-frequency excitation effects. It is applicable to rapid dynamic response evaluation in engineering fields such as aerospace structures, high-frequency components, and precision equipment.

This invention relates to the field of structural explosion dynamic response calculation, specifically disclosing a heterogeneous graph data representation method for structural explosion dynamic response analysis. The method includes: establishing and validating a high-fidelity finite element baseline model of the structural explosion response, and obtaining a baseline data source for the structural explosion response; establishing and implementing an adaptive sampling algorithm based on physical field gradients to adaptively select key nodes representing the structural dynamic characteristics from the finite element mesh nodes; establishing a multi-attribute graph edge linking and weight quantization method to construct a multi-attribute weighted graph; and establishing an automated construction and storage method for spatiotemporal graph datasets to generate a spatiotemporal sequence graph dataset for training a graph neural network. This invention overcomes the limitations of traditional neural networks on the serialization and meshing of training data, achieving automated, high-fidelity conversion from continuous, heterogeneous finite element simulation data to sparse, discrete graph structure data with well-defined topological relationships, as well as data size simplification and increased physical information density.

This invention discloses a method for identifying dynamic loads on structures based on dynamic displacement inversion and motion control equations. The method includes: dividing the structure under test into several four-node inverse shell elements; deploying sensors at the centroid positions of the upper and lower surfaces of each element; reconstructing the displacement values ​​of each element node based on the collected strain data; predicting the displacement values ​​at any position of the structure under test using a high-resolution spatial domain reconstruction algorithm based on the reconstructed displacement values ​​of each element node; discretizing the fourth-order spatial deflection derivative of the displacement field of the structure under test using the finite difference method; approximating the second-order derivative of the strain data using the second-order central difference method to obtain the higher-order spatiotemporal deflection derivative; and establishing a model of the relationship between the dynamic displacement and load distribution of the structure under test by combining the motion control equations of the structure under test, thereby achieving dynamic load identification of the structure under test. Given the known geometry and material properties of the structure, this method can not only reconstruct the time history of the dynamic loads on the structure but also simultaneously identify the load application positions.

This paper presents a model-based dynamic analysis and design method for conical-cylindrical shells. To address the problem of low computational efficiency in structural dynamics analysis and design optimization caused by the extremely high degree of freedom in traditional finite element methods (FEM) models when dealing with conical-cylindrical shell structures of submarines, the method divides the conical-cylindrical shell structure of the submarine into two substructures and models them using the FEM. The fixed interface principal modes and constraint modes of the substructures are solved, and these are combined into a first coordinate transformation matrix condensed model, resulting in a condensed model. The two condensed models are integrated, and a second coordinate transformation matrix is ​​obtained using the interface compatibility conditions between the substructures. This second coordinate transformation matrix is ​​then used to process the integrated model, yielding a condensed model of the conical-cylindrical shell structure. The frequency response curves and time-domain response curves of the condensed model of the conical-cylindrical shell in modal space are calculated, and then transformed to physical space to obtain the frequency response curves and time-domain response curves in physical space.

This invention discloses an efficient simulation method for non-Gaussian processes based on a hybrid HPM and JTM model, belonging to the field of structural dynamics technology. This invention achieves rapid simulation of non-Gaussian processes through parameter estimation using Hermitian polynomial and Johnson transformation models based on machine learning, explicit transformation from non-Gaussian correlation functions to Gaussian correlation functions, and fast simulation of non-Gaussian processes based on linear filtering. While ensuring accuracy, this method effectively improves the efficiency of non-Gaussian process simulation and is applicable to non-Gaussian process simulation in various engineering fields.

The application discloses a kind of method for the multi-physical field collaborative optimization design of stress electromagnetic drive nano-positioning platform, comprising the following steps: S100, platform parameterization modeling;S200, equivalent magnetic network modeling;S300, equivalent thermal network modeling;S400, thermal-magnetic two-way coupling iteration;S500, structural dynamics and stroke calculation;S600, multi-objective algorithm collaborative optimization.The application realizes closed-loop coupling evaluation of air-gap magnetic field, temperature rise and structural dynamics performance at lower computing cost, and can embed multi-objective optimization algorithm to realize collaborative optimization of platform stroke, dynamic response and thermal stability.The application includes platform stroke, natural frequency and permanent magnet temperature rise into a unified evaluation framework, and can realize comprehensive compromise of multiple performance indicators under the premise of meeting engineering constraints such as magnetic saturation, strength, stiffness ratio and power, thereby shortening design cycle, reducing prototype repeated trial production cost and improving dynamic performance and thermal stability of the platform.

This invention relates to the fields of aerospace remote sensing and satellite overall design technology, and particularly to a method for analyzing spectral aliasing caused by flywheel micro-vibration in hyperspectral imagers. The method involves acquiring flywheel operating parameters and satellite structural dynamics parameters, calculating the time series of line-of-sight jitter displacement caused by flywheel micro-vibration, acquiring a standard hyperspectral data cube of the target scene, performing a dynamic spectral sampling process using the line-of-sight jitter displacement time series, continuously integrating the data cube by simulating the instantaneous line-of-sight motion trajectory of the imager, and outputting a hyperspectral image affected by micro-vibration. The method also involves extracting the spectral curves of the pixels to be evaluated and the ideal spectral curve, and calculating the spectral aliasing error index. This invention quantifies the impact of micro-vibration on spectral dimensions by constructing a complete analytical chain of flywheel disturbance, structural transmission, and dynamic sampling, solving the problem of the lack of quantitative analysis of spectral aliasing in existing technologies, and significantly improving the reliability of hyperspectral remote sensing data in agricultural crop classification and growth monitoring.

This invention belongs to the field of structural dynamics topology optimization, and specifically discloses a functionally graded porous structure optimization method and system based on biphase implicit field interpolation. It utilizes biphase implicit field interpolation to construct a parameterized geometric model and eliminates spurious modes in low-density regions through dual nonlinear penalties of stiffness and mass. With the goal of maximizing the fundamental frequency, an adaptive multimodal cooperative strategy is introduced to suppress modal exchange oscillations in real time, and a cooperative sensitivity analysis and an asymmetric hybrid update strategy are combined for solution. This invention is convergent and robust, effectively solving the problems of spurious modes and modal exchange, and automatically evolves functionally graded porous structures with "dense roots, light ends," clear boundaries, and good connectivity.

This invention relates to the field of structural dynamics analysis and testing technology, specifically to an aeroelastic analysis method for large flexible structures based on dynamic sparse identification. The method includes: determining the dimensional parameters of the large flexible structure and establishing a finite element model of the large flexible structure based on these parameters; determining the aerodynamic load excitation and applying it to the finite element model of the large flexible structure to obtain the dynamic response; establishing a structural dynamics model to be identified, wherein the basis functions of the structural dynamics model to be identified are determined by multiple different deformation shapes of the large flexible structure; performing sparse identification based on the aerodynamic load, dynamic response, and structural dynamics model to obtain nonlinear stiffness coefficients, thus obtaining the identified structural dynamics model; for the flight condition to be analyzed, iterative processing is performed based on the identified structural dynamics model to obtain the deformation displacement and aerodynamic force distribution of the large flexible structure. This invention can improve the efficiency and accuracy of structural order reduction models.

This invention relates to the field of wind power generation technology and provides a method and system for monitoring and controlling wind turbine blade instability. The method includes: constructing a one-dimensional ANCF dynamic model of the wind turbine blade, calculating aerodynamic loads, and combining this model with structural dynamic equations to form a structure-aerodynamic coupled dynamic model; performing multi-condition dynamic simulation calculations on the wind turbine blade; extracting dynamic response characteristics by incorporating static load test conditions and measured response results; constructing a parameterized database of blade conditions and responses; establishing a blade instability evaluation system and training a neural network to obtain a surrogate model; and using the above-ground operation to predict the dynamic response characteristics of the blade, and judging the stability state of the blade based on the instability evaluation system and generating control commands, thereby making it possible to perform feedforward prediction and proactive intervention before blade instability occurs.

The application discloses a kind of risk prediction methods in the process of scaffold, belong to scaffold technical field.It includes: in the key parts of scaffold deployment sensor cluster, real-time acquisition dynamic response and geometric deformation parameter;Physical information neural network is constructed, structural dynamics equation is embedded into loss function as physical constraint, network is trained and finite element model is corrected, obtain digital twin;By analyzing natural frequency variation, frequency band energy variation and modal curvature variation, overall stiffness degradation is judged, local damage is identified and quantified fastener loosening;Image is collected by camera, and construction conditions are identified and quantified by target detection algorithm;Damage information and working condition parameters are input into digital twin for stress evolution simulation, predict future stress response indicators and compare with safety threshold, generate graded warning information.Structure state and construction conditions are deeply integrated, with stress trend prediction capability, which improves risk prediction accuracy and timeliness.

The application discloses a spaceflight launching stage wide-frequency random vibration effect simulation method, relates to the technical field of spaceflight engineering and structural dynamics, and comprises the following steps: S001, a multi-physical field coupling model containing thermal load, aerodynamic disturbance and wide-frequency random vibration input is constructed, a variable parameter driving mechanism is adopted to dynamically map material properties and boundary conditions, and a time-varying response curve of structural inherent frequency is acquired; S002, based on the time-varying response curve, modal energy distribution data are loaded, frequency intersection and energy transfer trends are identified, and a response prediction benchmark of a modal overlap region is established. Through thermal-flow-vibration coupling modeling and modal energy analysis, the application realizes early warning and active inhibition of modal jump, forms a closed-loop vibration risk inhibition mechanism through frequency regulation and parameter calibration, significantly improves the response stability and safety of the structure in the launching stage, and has good engineering practicability and innovation.

This application provides a method, apparatus, device, and storage medium for evaluating the frequency and damping variations of a vehicle-bridge coupled system considering non-classical damping effects, relating to the field of bridge structural dynamics and structural modal parameter identification technology. The method includes: determining frequency and damping variation information for evaluating the dynamic characteristics of the vehicle-bridge coupled system; constructing dimensionless characterization quantities for frequency and damping variations; calculating evaluation indices to characterize the intensity of the non-classical damping effect in the vehicle-bridge coupled system, quantitatively evaluating the degree of influence of the non-classical damping effect in the vehicle-bridge coupled system; and outputting the evaluation results. This application, by introducing evaluation indices characterizing the degree of non-classical damping in the vehicle-bridge coupled system, analyzes the variation patterns of system frequency and damping parameters within a unified analytical framework, achieving a quantitative analysis of the applicability of existing frequency evaluation theories under non-classical damping conditions.

The application discloses a kind of self-adapting step increment regularization structural damage identification method and device, and it is related to the field of computational mechanics.The method comprises the following steps: S1, obtaining the structural dynamic response and extracting the modal parameters;S2, constructing a finite element model and defining the damage factor;S3, deducing the sensitivity matrix of modal flexibility relative to the damage factor;S4, constructing an incremental regularization iterative objective function;S5, solving the objective function using an adaptive step strategy based on residual feedback, and dynamically updating the damage factor;S6, determine the convergence and output the identification result.The application innovatively constructs a "sensitivity-driven + adaptive step feedback" mechanism, dynamically adjusts the regularization strength by real-time monitoring of residual error, and realizes fast search with "large step" in the early stage and accurate noise removal with "strong constraint" in the later stage.This strategy effectively solves the numerical stability problem of high-dimensional ill-posed problems, and realizes high-precision and fast-converging identification of structural damage under strong noise interference.

This invention discloses a dynamic analysis method for beam structures with arbitrary curvature and varying thickness in a plane, belonging to the field of aerospace structure and structural dynamics modeling technology. The method first inputs the upper and lower surface functions of the curved beam to solve for its neutral surface function; secondly, it constructs a family of orthogonal displacement functions specific to this beam structure with arbitrary curvature and varying thickness, and establishes an integral mapping relationship between the global coordinate system and the dynamic sub-coordinate system; subsequently, based on the displacement function family and the integral mapping relationship, it derives and solves the energy equation of the beam structure; finally, it obtains the mode shapes and natural frequencies based on the Rayleigh-Ritz method, and calculates the dynamic response and dynamic stress of the structure using the modal superposition method. This invention overcomes the shortcomings of existing semi-analytical modeling methods for the dynamics of complex curved beam structures with varying thickness, and can efficiently and accurately predict and analyze the dynamic characteristics of beams with arbitrary curvature and varying thickness in a plane.

The present application relates to the technical field of composite structure dynamics analysis, and provides a method and system for predicting the natural frequency of a three-phase functionally graded composite conical plate, which comprises the following steps: calculating the equivalent parameters of a two-phase composite substrate containing GPL by using an improved Halpin-Tsai model, solving the equivalent parameters of a three-phase composite layer, constructing the nonlinear geometric relationship between the displacement field and the strain field, calculating the stiffness coefficient of each layer, constructing the kinetic energy of the three-phase composite conical plate, calculating the energy coefficient according to the stiffness coefficient of each layer, constructing the potential energy of the conical plate according to the energy coefficient, constructing the modal displacement function by using Chebyshev polynomials and boundary functions, establishing the characteristic equation based on the principle of minimum potential energy and solving it, and obtaining the natural frequency of the three-phase composite conical plate. The present application realizes efficient calculation of the natural frequency of the three-phase composite conical plate, and significantly improves the reliability and engineering application value of structural dynamics analysis.

This application relates to the field of structural dynamics testing and provides a method, apparatus, and storage medium for screening structural modal poles. The method includes: acquiring the frequency response function of the structure to be analyzed and identifying an initial set of modal poles accordingly; calculating a baseline fitting quality index for the current pole set based on all poles in the initial set of modal poles; forming a sub-pole set for each pole in the current set of poles, reconstructing the frequency response function based on the sub-pole set, and calculating the change in fitting quality caused by removing the pole; determining whether the change in fitting quality for each pole meets a preset redundancy criterion; if the determination result is that the preset redundancy criterion is met, then candidate poles are removed from the current set of poles, and the resulting set of poles is used as the new current set of poles, and the iteration is returned; otherwise, the iteration is terminated and the current set of poles is output as the screened key modal poles.

This invention discloses a method, system, and computer-readable storage medium for identifying and locating fluid excitation sources within a main loop. The method detects the main loop flow path subdomain where the problematic component, which exhibits abnormal vibration due to fluid excitation, is located. It then establishes a structural dynamics model of the problematic component to obtain its dynamic parameters, identifies large-scale eddies in typical geometric structures, selects analysis paths that include these large-scale eddies, analyzes the correlation and spatiotemporal evolution of the flow field in different regions within the main loop, and finally accurately identifies the location of the fluid excitation source causing the abnormal vibration of the component. This provides a foundation for subsequent optimization of the flow channel structure in the fluid excitation source region.

This invention discloses a parallel computational method for simultaneous identification of structural dynamic loads and local damage, comprising the following steps: 1) Arranging accelerometers on the surface of a beam structure to collect structural responses, and storing the structural responses in a two-dimensional matrix form using a moving time window; 2) Establishing a finite element model using beam elements, and dividing the beam elements into neg groups to construct neg independently runnable identification subtasks; 3) For each subtask, using the element damage factor contained in that group as an optimization parameter, and combining matrix regularization to construct an optimization objective function; 4) Solving each subtask in parallel using the gradient descent method; 5) Determining the final identification result by combining the objective function value, the sparsity of the identified load, and the number of damaged elements. This invention is applicable to parallel computation, enabling simultaneous identification of structural dynamic loads and local damage, and is suitable for solving the overall sparsity problem of simultaneous identification of dynamic loads and local damage over long time spans.

The application belongs to the technical field of road traffic safety monitoring, and discloses a road surface icing state monitoring system and method based on multi-source data fusion, which comprises a vibration sensing module, a meteorological and road surface state sensing module and a data fusion and processing module. The meteorological and road surface state sensing module is used for identifying potential icing risk of a road surface. The vibration sensing module is used for detecting the icing state of the road surface with potential icing risk. The data fusion and processing module is used for estimating the thickness of an ice layer after confirming icing. The application creatively fuses direct contact sensing based on structural dynamics, indirect models based on meteorological physics, and introduces a data fusion algorithm, so as to solve the inherent defects of a single technical path by using a lightweight system.

The application discloses a kind of digital construction control methods of high-rise building steel skeleton inclined column, to solve the precision control problem caused by structural dynamic deformation and error accumulation in construction process.The method uses extended Kalman filter to estimate the real-time global deviation state of structure online, and combines recursive least squares method to identify and adaptively update the structure state space model online;Further, the theoretical design pose, the environment-induced displacement based on environment data prediction, and the active compensation displacement for active suppression of deviation are synthesized to determine the optimal installation pose of the inclined column to be installed;Finally, digital instructions are generated to guide construction, and the actual installation pose is measured to form a closed-loop feedback for correcting the state estimation of the next cycle.The application can actively suppress error accumulation through closed-loop control combining model adaptation and predictive compensation, improving the construction accuracy and robustness of high-rise building.

The application discloses a kind of structure dynamic displacement full-field reconstruction method, system and medium, it is related to structural health monitoring technical field, including steps: obtaining low-frequency displacement registration time series data and high-frequency acceleration registration time series data of target monitoring structure;Initial physical information neural network model is constructed;Composite loss function is constructed, composite loss function includes displacement data loss term, physical residual loss term and structure dynamics regularization term;Initial physical information neural network model is trained until convergence by back propagation, and network model parameter is updated;Each space-time coordinate point of the structure to be reconstructed is input into the trained physical information neural network model, and the estimated displacement value corresponding to each space-time coordinate point is output.The method of the application effectively fuses the absolute benchmark advantage of low-frequency visual displacement and the dynamic detail advantage of high-frequency acceleration, realizes structure dynamic displacement high-frequency interpolation and full-field high-frequency displacement time series reconstruction.

The application discloses a kind of model correction-oriented gas turbine casing modal test methods, belong to structural dynamics test and analysis technical field, including: radial free modal test is carried out to gas turbine casing, and the real number of test modal parameters is obtained;Establish the initial finite element model of gas turbine casing, obtain the calculation modal parameters by modal analysis, and the calculation modal vibration mode vector is projected to the test modal vibration mode vector direction;According to the frequency relative error FRE, modal confidence factor MAC and the rotation of tour group MAC, the correlation matching of calculation modal and test modal is completed.The application standardizes the process of radial free modal test of gas turbine casing, clearly gives the suspension mode of casing, the arrangement principle of test knocking point and vibration sensor, the matters needing attention of traversal knocking and the implementation method of complex modal real number, to ensure the accurate acquisition of test modal parameters.

The application discloses a kind of cross bridge displacement monitoring data reconstruction method, device and equipment, belong to bridge structure health monitoring and data processing technical field.The method comprises: obtaining the monitoring data of first bridge;Determine the time-varying delay that monitoring data is mapped to the time axis of second bridge based on the space-time transmission characteristics of homologous excitation;First bridge modal characteristics are obtained by projecting monitoring data to modal characteristic space;The graph neural network model based on structural dynamics constraint, macro energy constraint and historical deformation mode constraint is updated to learn the transverse coupling relationship between second bridge space measuring points;Predicted modal characteristics are output based on modal characteristics and time-varying delay using the model and reconstructing second bridge monitoring data.The application realizes the fusion of physical mechanism and data driving, effectively solves the problem of single-bridge data missing, and improves the physical consistency and confidence of reconstructed data.