54 results about "Elastic analysis" patented technology

The provided are a price elasticity analysis and prediction method and model based on deep learning. The model consists of a CNN layer and an RNN layer. The method comprises the following steps: S1, collecting historical data and merging the historical data into a multi-dimensional time series dataset; S2, extracting sentiment data and trend data from market news and social media; S3, inputting the data obtained into CNN for data preprocessing and feature extraction; S4, inputting the feature extracted by CNN into RNN for time series analysis; S5, training and optimizing model: using Adam algorithm to adjust the learning rate adaptively, and combining the momentum method and RMSProp algorithm to improve the generalization ability and prediction accuracy of the model. The provided combines the advantages of CNN and RNN, which can understand and predict the complex relationship between price and market behavior more comprehensively and accurately.

The invention relates to the technical field of wind turbine generators, particularly provides an aeroelasticity analysis method, system and equipment of a fan blade and a medium, and aims to solve the aeroelasticity analysis problem of a flexible fan blade. Therefore, the aeroelasticity analysis method for the fan blade comprises the following steps: acquiring blade parameters and wind speed data of a to-be-analyzed blade; determining the aerodynamic load of the to-be-analyzed blade based on an aerodynamic model, the blade parameters and the wind speed data; based on the blade parameters and the aerodynamic load of the to-be-analyzed blade, determining the structural response of the to-be-analyzed blade; and carrying out aeroelasticity analysis on the to-be-analyzed blade based on the aerodynamic load and the structural response of the to-be-analyzed blade. The method is suitable for aeroelasticity analysis of the flexible blade of the wind turbine generator, and provides reliable reference for aeroelasticity stability evaluation of the flexible blade of the wind turbine generator.

The invention discloses a turbine part elastic digital twinning virtual-real interaction method combining geometric features and Fourier neural operators. The method comprises the following steps: S1, setting material attributes and boundary conditions; s2, finite element data generation and format conversion; s3, constructing and training a prediction model based on a geometric perception Fourier operator; and S4, model prediction and verification. According to the method, finite element software and AI prediction are combined, the turbine parts are subjected to self-defined Fourier transform and geometric coding technologies, the problems that an existing turbine part analysis method is complex in calculation and complex geometric features are effectively processed are solved, a traditional elastic analysis method is optimized, and the method has the advantages of being high in reliability and high in reliability. The method is a technology for improving the analysis precision while reducing the calculation complexity, and is suitable for solving complex geometrical shapes and physical phenomena. The method has a wide application prospect, and can provide efficient calculation support for design optimization, performance evaluation and fault detection.

The invention discloses a design method of an equivalent simulation component of a wall-type connection metal shear damper, and relates to the field of design methods of anti-seismic components. Comprising the steps that a non-damping structure model without a damper is established, the plane arrangement position of the metal shear damper in a building is determined, the yield bearing capacity of the damper is determined according to the proportion of earthquake shear force shared by the damper in the X direction and the Y direction of the structure, and the yield displacement of the damper is determined according to the design performance target of the damper. And determining the post-yield stiffness ratio of the metal shear damper, establishing a damping structure analysis model with a damper unit and a connecting wall pier unit, calculating the secant stiffness of the metal shear damper, and calculating the stiffness of the metal shear damper connecting the wall pier. According to the design method, the equivalent simulation component of the damper in the construction drawing model can be designed according to the performance parameters of the metal shear damper and the connecting wall pier, and the design method has important significance on correct establishment and equivalent elasticity analysis of the construction drawing model of the damping structure of the metal damper.

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 building structure engineering, in particular to a simplified elastic analysis and design method for an integrated model of a partition wall structure, and provides a simplified elastic analysis and design method based on a physical mechanism and data driving. And instead, a practical design tool which can be directly used for engineering design, is seamlessly connected with the current specification and has definite physical significance is formed based on intelligent calibration of a large-refinement nonlinear analysis result. According to the method, quantitative correlation between elasticity and nonlinear performance is established, theoretical preciseness is guaranteed, and the method has extremely high engineering practicability and serves as preposition and supplement of refined nonlinear analysis to form a complete technical system from rapid scheme design to accurate performance verification.

The invention relates to the technical field of intelligent power grids, in particular to a multi-dimensional dynamic elastic recognition method and system for key coupling nodes of a power distribution information physical system, and the system comprises a key node screening unit which constructs a unified CPDS model and preliminarily screens a candidate key node set based on structure controllability and structure observability; the fuzzy scene generation unit is used for constructing a dynamic fuzzy disaster scene set by utilizing a Markov chain Monte Carlo method and generating a set containing a large number of dynamic fuzzy disaster scenes; an elastic function construction unit; a node calculation output unit; according to the novel CPDS key coupling node accurate identification method, structure controllability, structure observability, dynamic fuzzy disaster scenes, reverse reinforcement learning and Shapley value comprehensive calculation are fused, so that the accuracy, fairness and adaptability of elastic analysis and decision making of a system are improved; and the rapid response and recovery capability of the power grid to disasters or attack disturbance is 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 large-scale low earth orbit satellite network elasticity evaluation method and system based on a graph theory and an entropy theory. According to a low-orbit satellite network service scene model and a constellation model, dynamic attributes of ISL and satellite nodes are integrated into a snapshot topological structure obtained from periodicity and predictability of a satellite network by utilizing a time-space expansion graph model based on time snapshots, and low-orbit satellite constellation time-varying network topology based on a time-space expansion graph is obtained. Constructing a satellite communication model, a satellite state updating mechanism, an elastic analysis model of the LEO satellite network and an elastic evaluation index; and finally, establishing a network elasticity recovery optimization problem of the low-orbit satellite communication network under the damaged condition, thereby obtaining the network elasticity of the low-orbit satellite communication network under the damaged condition. According to the method, the service capability can be quickly recovered after the network is damaged, and the adaptive recovery capability and the service guarantee level of the LEO satellite network are effectively improved.

The invention relates to the technical field of aeroelastic analysis of aero-engines, in particular to a boosting-energy complementing gliding aircraft thermal / aeroelastic coupling modeling and analysis method considering rigid-elastic coupling. A frame for simultaneously solving rigid body motion and elastic vibration is established, the amplitude and direction disturbance characteristics of thrust pulsation and the rigidity degradation effect caused by pneumatic heat generation-heat conduction are considered, and the problem of prediction deviation caused by neglecting of rigid-elastic coupling and an extreme thermal environment in traditional solving is solved. According to the method, aeroelastic response analysis of the aircraft in different load stages (full load, half load and no load) can be simulated, and hot gas bomb response under the action of thrust disturbance and extreme thermal load is solved, so that the prediction capability of dynamic behaviors of the aircraft under complex working conditions is improved; and a theoretical technical support is provided for aeroelastic response servo suppression of the boosting-energy complementing gliding aircraft in a large impact / extreme thermal environment.

The application discloses a design method of equivalent simulation components of wall type connecting metal shear damper, and relates to the field of aseismic component design methods. X direction and Y direction damper share of earthquake shear force proportion to determine the yield load of the damper, to determine the yield displacement of the damper according to the design performance target of the damper, to determine the post-yield stiffness ratio of the metal shear damper, to establish a vibration reduction structure analysis model with the damper unit and the connecting wall pier unit, to calculate the secant stiffness of the metal shear damper, and to calculate the stiffness of the metal shear damper connecting wall pier. The application can design the equivalent simulation components of the damper in the construction drawing model according to the performance parameters of the metal shear damper and the connecting wall pier, and is of great significance to the correct establishment of the construction drawing model of the metal damper vibration reduction structure and equivalent elastic analysis.

The invention provides a shot peening forming deformation prediction method and system based on three-layer equivalent inherent strain, and the method comprises the steps that the three-layer equivalent inherent strain under preset technological parameters is calibrated based on a calibration sample of a preset size, and the preset technological parameters are technological parameters adopted when a target wallboard is machined; establishing a finite element model of the target wallboard, dividing the finite element model into three layers along the thickness direction of the finite element model, and dividing plane grids; loading the calibrated three-layer equivalent inherent strain to a shot blasting area of the finite element model; and activating the inherent strain field and carrying out elastic analysis to obtain a deformation prediction result. According to the embodiment of the invention, efficient, accurate and universal shot peening forming deformation prediction can be realized.

The invention discloses an XGBoost-based power generation quotation rationality evaluation method, system and equipment and a medium, and relates to the technical field of power market operation and supervision, and the method comprises the steps: collecting historical operation and market environment data, obtaining five evaluation indexes through a prediction model, elastic analysis, matching degree calculation and clustering analysis, fusing the indexes to construct a feature vector, and obtaining a power generation quotation rationality evaluation result. And training a classification model to evaluate the rationality of quotation, and generating a monitoring early warning signal when the matching degree is too low, the price response is too strong, the quotation deviation is too large and the behavior mode is abnormal by continuously tracking the change trend of key indexes. According to the invention, by fusing the multi-dimensional dynamic features and adopting the elastic time sequence matching and interpretable machine learning model, a power generation quotation behavior intelligent supervision closed loop integrating comprehensive evaluation, accurate quantification and active early warning is constructed, and the comprehensiveness, accuracy, objectivity and timeliness of market supervision are significantly improved.

The invention discloses a woven uniform fabric elasticity retentivity analysis method based on artificial intelligence, and particularly relates to the technical field of fabric elasticity analysis. Comprising the steps of S01, numbering woven elastic uniform fabric, S02, collecting initial fabric elasticity data, S03, evaluating initial fabric elasticity retentivity, S04, analyzing fabric elasticity attenuation trend, S05, outputting the fabric elasticity retentivity, and S06, grading the fabric elasticity retentivity. According to the method, the initial fabric elasticity data of the to-be-evaluated woven elastic uniform fabric is collected, the elastic recovery change rate evaluation index and the plastic deformation change rate evaluation index are calculated, the fabric elasticity is classified, and the elasticity attenuation trend of the fabric is analyzed, so that the attenuation trend prediction result is obtained; and the initial elasticity data is quantified into an indexed result, so that the performance evaluation of the elastic uniform fabric is realized, and the whole-process intelligent management of elasticity retentivity analysis is realized.

The invention discloses a static aeroelasticity analysis method for multi-precision aerodynamic evaluation for multidisciplinary optimization, relates to the technical field of aviation design, and solves the problem of inherent contradiction between distortion of a low-precision method and time consumption of a high-precision method in static aeroelasticity analysis. The aerodynamic and load characteristics of the configuration are calculated through a multi-precision aerodynamic analysis method and a structural analysis tool, and the calculated aerodynamic force and deformation displacement are interpolated to target grid points through an interpolation method based on a radial basis function. And then iteration of a finite step number is carried out, and finally the static aeroelastic convergence configuration appearance and aerodynamic characteristics are obtained. According to the method, the efficiency and precision of static aeroelasticity calculation in the wing design process are improved, and the method has wide applicability and reliability.

The invention discloses a three-dimensional acoustic elasticity calculation method based on combined potential, and relates to the field of ship three-dimensional acoustic elasticity calculation, and the method comprises the steps: constructing a speed potential in an outer watershed of an underwater ship structure into a linear combination form of a single-layer potential and a double-layer potential, and constructing a boundary integral equation on a wet surface of the underwater ship structure; according to fluid-solid coupling boundary conditions on the wet surface of the underwater ship structure, a boundary integral equation on the wet surface of the underwater ship structure is solved by adopting a boundary element method, and virtual source intensity distribution on the wet surface of the underwater ship structure is obtained; according to the virtual source intensity distribution of the wet surface of the underwater ship structure and the dry modal displacement of the structure, acoustic elasticity response parameters are obtained through calculation. By constructing the watershed speed potential outside the underwater ship structure in a linear combination form of single-layer potential and double-layer potential, the irregular frequency of acoustic elasticity calculation is effectively eliminated under the condition that the calculation scale and modeling workload are not additionally increased, and the efficiency of three-dimensional acoustic elasticity analysis can be remarkably improved.

The invention relates to the field of integrated circuit design and computer systems, and discloses a heterogeneous computing task scheduling method, device and equipment, a storage medium and a product, the method comprises the following steps: S1, task graph construction and feature extraction: analyzing an application program to construct a directed acyclic graph reflecting a task dependency relationship, generating a task feature vector containing multi-dimensional attributes for each atomic task; and S2, dependency elasticity dynamic analysis: monitoring the dependency relationship and address access behavior between tasks in real time, and quantitatively calculating a reordering elasticity value representing the adjustability degree of the dependency relationship. According to the method, through a hardware-assisted dependency elastic analysis and speculative out-of-order execution mechanism and in cooperation with a full-dimensional resource state perception and closed-loop feedback model, the technical problems of pipeline blockage caused by weak dependency of tasks and unbalanced resource allocation under a complex load in an existing heterogeneous computing system are effectively solved.

The invention relates to the technical field of civil engineering, particularly provides an analysis method for soil-knot combined action in an ultra-deep soft soil area, and aims to solve the problem of long construction period during existing soft soil foundation treatment. The method comprises the steps that structure parameters of a target building are obtained, a pure structure model and a soil-structure overall model are established based on the structure parameters, and compared with the pure structure model, the soil-structure overall model is added with preset soil parameters; respectively carrying out small-earthquake elasticity analysis, small-earthquake elasticity time-history analysis and large-earthquake elastic-plastic time-history analysis on the pure structure model and the soil-knot integral model; comparing small-earthquake elasticity analysis results, small-earthquake elasticity time-history analysis results and large-earthquake elastic-plasticity time-history analysis results; and according to a comparison result, performing targeted enhancement on the difference of the soil-knot overall model compared with a pure structure model. By means of the analysis method, construction can be conducted firstly, then soft foundation treatment is conducted, and the construction period is shortened.

The present application relates to the technical field of building structure engineering, in particular to a simplified elastic analysis and design method for integrated model of partition wall structure, which proposes a set of simplified elastic analysis and design method based on physical mechanism and data driving. The method is not a simple application of traditional empirical coefficient, but an intelligent calibration based on a large number of refined nonlinear analysis results, forming a practical design tool which can be directly used for engineering design, seamlessly connected with the existing specification and has clear physical meaning. The quantitative correlation between elastic and nonlinear performance is established, which not only guarantees the theoretical rigor, but also has strong engineering practicability. As a preposition and supplement of refined nonlinear analysis, the method forms a complete technical system from rapid scheme design to accurate performance verification.

The invention discloses a network elasticity analysis method and device based on a dynamic fault tree, and belongs to the technical field of network security. The method comprises the following steps: taking an elastic target of a network system as a top event, and constructing a network elastic dynamic fault tree for the top event; obtaining historical operation and maintenance data of the network system, and calculating the occurrence probability of each basic event according to the historical operation and maintenance data; calculating the probability of occurrence of top events and the key importance of each basic event based on the probability of occurrence of the basic events and the logic relationship in the dynamic fault tree; and when the occurrence probability of the top event exceeds a preset threshold value, based on the key importance degree of each basic event and the occurrence probability of each basic event, analyzing to obtain a weak point of the network system, and generating a targeted network elasticity maintenance strategy to ensure the effectiveness of network elasticity. The method not only has high evaluation efficiency, but also can realize the maintenance of the network elasticity in the actual operation process of the network system.

The invention discloses a method and system for evaluating the elasticity of an electric power system, and relates to the technical field of monitoring analysis, and the system comprises a data collection module which is used for collecting basic data and operation data corresponding to each piece of electric power equipment in the electric power system in real time; the analysis module is used for performing analysis processing on the basic data and the operation data corresponding to each power device in the power system, performing elastic analysis on each power device of the power system based on an analysis processing result, and further making an early warning management strategy based on an elastic analysis result; the early warning module is used for executing an early warning management strategy and outputting an alarm signal to each power device of the power system; and the notification module is used for outputting notification information to a manager corresponding to the power system. The method has the effect of improving the elastic analysis accuracy of the power system.

The application relates to the technical field of performance analysis of viscoelastic materials, and discloses a performance analysis method and device of viscoelastic materials, wherein the method comprises the following steps: obtaining elastic operators of a specific viscoelastic material at multiple time points, and dividing the material into coarse element domains and fine element domains by using a multi-scale finite element method. A multi-scale base function is constructed for each coarse element domain, and an equivalent stiffness matrix set is calculated, and then a scale reduction calculation is performed to extract a micro information set. Based on the functional relationship of the micro information, viscoelastic analysis of the specified viscoelastic material is finally realized, and a basis is provided for performance evaluation of the material. The application has the advantages of high calculation efficiency, resource saving and large problem scale expansion compared with the prior art, reduces the historical data storage demand, significantly reduces the degree of freedom of the macro equation, is widely applicable to non-periodic structures, and has the potential to be extended to nonlinear viscoelastic problems.

The application discloses a consumer industry enterprise closing risk early warning method and device and a storage medium, relates to the technical field of business data analysis, and comprises the following steps: multi-source data acquisition; cleaning, missing value filling, duplicate removal and standardization are performed on the collected data; a demand curve is fitted by using a least square method, a demand price elasticity coefficient is calculated, the sensitivity of commodity demand to price is judged, and market stability is evaluated; and an ARMA time series model is adopted to perform stationarity processing and modeling on historical sales data, and to predict short-term and medium-term sales trends. The application adopts demand elasticity analysis and ARMA time series prediction to perform data analysis, and converts qualitative market feelings into quantitative indexes; in the risk evaluation stage, the analytic hierarchy process is adopted to determine weights and the fuzzy comprehensive evaluation method, subjective judgment deviation is effectively reduced, and risk grade determination is more objective and accurate.

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.

The application discloses a large-scale low-orbit satellite network elasticity evaluation method and system based on graph theory and entropy theory, and integrates dynamic attributes of ISL and satellite nodes into a snapshot topology structure obtained from periodicity and predictability of a satellite network by using a time snapshot-based space-time expansion graph model according to a low-orbit satellite network service scene model and constellation model, to obtain a low-orbit satellite constellation time-varying network topology based on a space-time expansion graph, and further construct a satellite communication model and a satellite state updating mechanism, an elasticity analysis model and an elasticity evaluation index of the LEO satellite network; finally, an optimization problem of network elasticity recovery of the low-orbit satellite communication network under a damaged condition is established, and then network elasticity of the low-orbit satellite communication network under the damaged condition is obtained. The application can ensure that the network can quickly recover service capability after being damaged, and effectively improves adaptive recovery capability and service guarantee level of the LEO satellite network.

The invention discloses a variable stiffness composite material wing aeroelastic analysis method containing multi-source uncertainty, which comprises the following steps: carrying out probability space division according to the condition of random uncertainty factors, and determining the value of a random vector at each sampling point and the probability value of a sub-domain; regarding the random vector at each sampling point as a deterministic parameter, and circularly calculating an interval boundary value of a to-be-analyzed aeroelastic response variable at each sample point; based on the interval boundary value, calculating the reliability of the structure at each sample point only under the influence of the interval factors; discretizing the initial condition of the generalized probability density evolution equation to obtain the probability density of the structural reliability in each sub-domain; superposing the probability density of each sub-domain to obtain a probability density curve of the structural reliability considering the multi-source uncertainty; and calculating the reliability of the structure based on the probability density curve. By adopting the technical scheme of the invention, the aeroelasticity analysis containing the multi-source uncertainty of the variable stiffness composite material wing is realized.

The present invention discloses a bridge dynamic interaction analysis method that integrates monitoring data and hybrid substructures. The method first uses hybrid substructure technology to determine the interface constraints of key areas by establishing mathematical equations; then, an expectation-oriented adaptive sparse Gaussian process algorithm is introduced to perform parameter identification of these key areas based on actual monitoring data. Furthermore, the present invention proposes a new theoretical framework to realize the dynamic interaction between substructure nonlinear analysis and main structure linear elastic analysis. The effectiveness of this method is verified by an application example on an actual concrete beam bridge. The present invention not only opens up a new path for the deep integration of monitoring data and finite element models, but also significantly enhances the accuracy of substructure analysis and overall structural performance evaluation.

The invention discloses a method for rapidly predicting the elastic-plastic mechanical property of a one-dimensional periodic spiral winding structure, and relates to the technical field of spiral winding structure mechanical property prediction. Comprising the following steps: S1, constructing a finite element model of a one-dimensional periodic spiral winding structure, performing linear elasticity analysis on the finite element model, and extracting a strain concentration tensor; s2, based on the extracted strain concentration tensor, clustering the finite element model by using a clustering algorithm to obtain a reduced-order model after partitioning, and calculating an interaction matrix representing a mechanical relationship between blocks in the reduced-order model; and S3, inputting the interaction matrix into an online incremental algorithm to obtain an elastic-plastic stress-strain curve of the one-dimensional periodic spiral winding structure, and realizing prediction of the elastic-plastic mechanical property of the one-dimensional periodic spiral winding structure. According to the method, the elastic-plastic mechanical property of the one-dimensional periodic spiral winding structure can be efficiently and accurately predicted, and the analysis efficiency and optimization efficiency of the one-dimensional periodic spiral winding structure are improved.

The present application relates to the technical field of civil engineering, and particularly provides an analysis method for soil-concrete interaction in super-deep soft soil area, aiming at solving the problem of long construction period in existing soft soil foundation treatment. The present application comprises: obtaining the structure parameters of the target building, respectively establishing a pure structure model and a soil-concrete integrated model based on the structure parameters, wherein compared with the pure structure model, the soil-concrete integrated model increases the preset soil parameters; performing small earthquake elastic analysis, small earthquake elastic time history analysis and large earthquake elastic-plastic time history analysis on the pure structure model and the soil-concrete integrated model respectively; comparing the small earthquake elastic analysis results, comparing the small earthquake elastic time history analysis results, and comparing the large earthquake elastic-plastic time history analysis results; according to the comparison results, the differences of the soil-concrete integrated model compared with the pure structure model are targetedly strengthened. Through the analysis method of the present application, the soft foundation treatment can be carried out after the construction, and the construction period is shortened.

The hydroelastic analysis method, equipment and storage medium of bidirectional fluid-solid coupling of offshore permeable structures belong to the field of hydroelastic technology and solve the problem of low efficiency and accuracy of hydroelastic load prediction of cages. The method of the present invention includes: calculating the fluid load of cage rods, and processing the flow field velocity using the attenuation factor for the flow velocity attenuation effect; using the Screen model to calculate the fluid load of the lift and damping of the mesh, comprehensively considering the influence of the mesh density, inflow angle and Reynolds number on the lift coefficient and the drag coefficient, and realizing accurate calculation of the fluid load of the permeable structure mesh; mapping the lift and drag of the mesh calculated by the Screen model to the finite element structure of the rod; and using the structural solver to realize the hydroelastic dynamic response analysis of the bidirectional fluid-solid coupling of the cage. The present invention is suitable for summarizing the rules and mastering the deformation mechanism of the cage structure.