131 results about "Kinetic analysis" patented technology

The present application provides a dynamics analysis method for an ammonia combustion refrigeration system in large park cooling. The method comprises: on the basis of a geometric structure of an ammonia combustion chamber and a fuel supply amount, calculating the heat generated by ammonia combustion and analyzing the heat transfer mode between the combustion chamber and a desorption tower, the heat transfer mode comprising direct contact type heat transfer and partition type heat transfer, and simulating the heat transfer process to obtain and draw the heat flux distribution of the tower wall surface; on the basis of the flow state and a relationship curve between the pressure drop and the flow velocity, analyzing the desorption process of a refrigerant in a solution, and on the basis of the concentration of the solution, a boiling point of the refrigerant, and the vapor pressure, calculating local desorption rates at different positions in the desorption tower and the refrigerant vapor generation amount; and on the basis of the heat flux distribution, calculating the temperature distribution of the solution, and analyzing the heat transfer and mass transfer processes in the desorption tower to obtain a local heat transfer coefficient and the mass transfer efficiency distribution of the surface of a filler.

The invention discloses a closed-loop control digital microfluidic system and a method thereof, and relates to the technical field of microfluidics, and the method comprises the following steps: initializing a digital microfluidic chip electrode array, setting an electrode spacing, an electrode size and a voltage upper limit, collecting a no-load state signal, and generating initial reference data; liquid drops are formed at the preset position of the digital micro-fluidic chip, and according to the initial reference data, the initial position, the volume and the form information of the liquid drops are collected, and a liquid drop initial state data set is generated; inputting the initial state data set of the liquid drop into a pre-trained closed-loop prediction model, performing kinetic analysis and trajectory prediction calculation, generating an expected motion trajectory of the liquid drop, and comparing the expected motion trajectory with the real-time state data flow of the liquid drop to generate deviation feedback data of the liquid drop; and dynamically adjusting the initial driving voltage parameter according to the droplet deviation feedback data to generate a closed-loop driving voltage sequence. The liquid drop trajectory control precision is improved, and motion errors caused by environmental disturbance and electrode response differences are reduced.

The invention relates to the technical field of power construction, discloses a multi-system coupling control crossing frame erection collaborative operation method and system, and aims to improve the stability and collaborative efficiency of an erection process. The method comprises the following steps: establishing a three-dimensional digital model of a spanning structure body, synchronously accessing a plurality of sensor acquisition systems, and acquiring space coordinates of key nodes of the spanning structure body, environmental wind load and operation state information of construction equipment in real time; dynamically generating an anti-overturning constraint condition based on space coordinates and wind load information, and generating a cooperative scheduling strategy in combination with an equipment state; and constructing a space pose matching model to output deviation correction parameters. The stability of the frame body is evaluated through the dynamic analysis model, a load early warning index is generated, and an equipment action instruction is generated through the path optimization model. And adjusting the operation priority according to the early warning index, and synchronously sending the updated priority and the action instruction to the terminal to realize multi-system closed-loop control.

The invention discloses a new energy electricity price accurate prediction method and system based on virtual power plant aggregation regulation and control, and relates to the technical field of industrial data processing. The method comprises the steps: S1, carrying out the preprocessing of meteorological environment data, output equipment data and battery power grid operation data; s2, constructing a variation dynamics analysis and mutation depth discrimination mechanism based on the meteorological environment data, and entering an output prediction and optimization process and a scheduling load response process in a layered manner; s3, executing energy storage collaborative optimization scheduling and parameter correction according to a meteorological output regression prediction analysis result; and S4, performing electricity price time sequence multi-source driving analysis, and reconstructing an electricity price fluctuation response strategy. The problems that new energy output violently fluctuates within a minute level due to sudden weather change, and electricity price prediction lags due to the fact that an existing prediction model depends on too low weather data updating frequency and cannot capture the rapid change in time are solved.

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 is suitable for the field of portal frames, and discloses a portal frame dynamics analysis method which comprises the following steps: establishing a full-order finite element model of a portal frame, and obtaining a mass matrix and a stiffness matrix of the full-order finite element model; dividing the full-order finite element model into a plurality of substructures based on the modular structure characteristics of the portal frame, and decomposing the degree of freedom of each substructure into an internal degree of freedom and a boundary degree of freedom; constructing a fixed boundary main modal matrix and a constraint modal matrix of each substructure, and constructing a reduced-order basis matrix; performing modal polycondensation on a mass matrix and a stiffness matrix of the full-order finite element model by using the reduced-order basis matrix to generate a reduced-order mass matrix and a reduced-order stiffness matrix, and constructing a reduced-order kinetic equation; and solving the reduced-order kinetic equation to obtain reduced-order modal coordinates, carrying out inversion reduction in combination with the reduced-order basis matrix and the reduced-order modal coordinates to obtain a displacement response vector of the full-order finite element model, and retaining key kinetic information of the portal frame to the greatest extent through reduced-order efficiency improvement.

The invention discloses a signal fusion processing method for a motor imagery training brain-computer interface, and particularly relates to the technical field of neural signal processing. Multi-channel scalp electroencephalogram data of a user are collected in real time, a time-varying space covariance matrix sequence is constructed through Riemannian geometric space mapping analysis, and a phase amplitude coupling index sequence between different brain rhythms is analyzed and calculated through cross-band coupling dynamics; performing feature hierarchy joint coding on the spatial covariance matrix sequence and the phase amplitude coupling index sequence to generate a real-time neural representation tensor; calculating the distribution divergence of the real-time neural representation tensor relative to the static reference feature manifold in the initial training stage so as to quantitatively represent the mismatch degree; and finally, dynamically adjusting a weighting coefficient and a fusion structure of the multi-modal signal fusion device according to the characterization mismatching degree, and outputting a motion control instruction matched with the current brain state of the user in real time. According to the method, the motion intention decoding precision and stability in the motion imagination training process are improved.

The invention relates to the technical field of underwater towing, in particular to an underwater towed body towing performance design method, which comprises the following steps of: performing static dynamic analysis on a towed body; carrying out dragging dynamics analysis on the towed body; constructing a towed body structure model, and performing hydrodynamic simulation calculation; establishing a dynamic coupling numerical simulation model of the towing system; and carrying out dragging attitude simulation, and obtaining an optimal design scheme. According to the invention, key indexes such as trim and rolling of the towed body in the towing system are ensured to meet the stability standard, so that the urgent requirements of marine acoustic detection on high precision and high reliability are met.

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 belongs to the field of complex engineering system design and kinetic analysis, and particularly discloses an analysis method for verifying complex system empirical tolerance rationality and application thereof, and the method specifically comprises the following steps: (1) establishing a parameterized model; (2) constructing a multi-physics field dynamics simulation model; (3) importing boundary conditions of operation conditions; (4) operation quality and performance index extraction; (5) data-driven correlation analysis; and (6) verifying and optimizing the reasonability of the empirical tolerance. The method has universality and expandability, can be widely applied to empirical tolerance verification and design optimization of complex systems in the fields of rail transit, aerospace, power transmission, precision manufacturing and the like, and provides a unified theory and calculation framework for tolerance rationality evaluation.

The invention provides a textile composite material impact energy absorption simulation method, system and device and a medium, and the method comprises the steps: carrying out the connected domain analysis of a tomography image, and determining the equivalent diameter distribution characteristics of pore defects in a textile composite material; performing stochastic simulation based on the equivalent diameter distribution characteristics in combination with a mesoscopic geometric model of the textile composite material to obtain stochastic pore space distribution of the textile composite material in the resin enrichment area; geometric difference is carried out on the random pore space distribution and the mesoscopic geometric model, and then a mesoscopic finite element model containing pore defects is constructed; and endowing the mesoscopic finite element model with material attributes and carrying out explicit kinetic analysis on impact load, and further determining the impact energy absorption performance of the textile composite material prepared in the batch according to an analysis result. By adopting the scheme of the invention, systematic deviation of impact energy absorption performance prediction caused by model idealization can be reduced.

This invention discloses a safety assessment and practical design method for transformer emergency oil drainage, belonging to the field of power safety. Based on the dynamic analysis of emergency oil drainage in oil-immersed transformers, and considering the flow balance conditions of the transformer tank and emergency oil pit, this invention proposes a novel graphical method. This method utilizes the linear change in leakage flow rate of the transformer tank and the drainage flow rate of the emergency oil pit over time after a transformer explosion. It analyzes the flow balance time when the leakage and drainage flows are equal, and directly calculates the minimum required volume of the emergency oil pit using the area method of the flow diagram. Based on the ratio of the actual volume to the necessary volume of the emergency oil pit, the safety factor for emergency oil drainage is determined, thereby evaluating the drainage capacity of the emergency oil drainage system and the improvement design of the emergency oil pit. This invention avoids the tedious process of solving complex differential equations simultaneously in traditional methods, significantly reducing computational complexity and facilitating rapid mastery and application by engineering designers.

The invention discloses an FPV system strength evaluation method based on sea condition mapping, and belongs to the technical field of floating photovoltaic system design, and the method comprises the following steps: 1, inputting initial parameters established by an FPV system, and establishing an initial design scheme of the FPV system, 2, establishing a local strength model of the FPV system by using the initial parameters, 3, inputting sea condition parameters, and 4, establishing a local strength model of the FPV system by using the initial design scheme. The method comprises the following steps of (1) calculating a time domain dynamic response result by using sea condition parameters, and generalizing the time domain dynamic response result, (2) determining an environment boundary condition according to a generalization result, (5) carrying out strength evaluation on an FPV system by combining the boundary condition, and (6) generating optimization design decision guidance according to a strength evaluation result. According to the method, a rigid body connected hydrodynamic overall model and a rigid body connected hydrodynamic local strength model are solved respectively, full-flexible coupling dynamics analysis is replaced, therefore, the calculation process is simplified, meanwhile, high-precision evaluation capacity is kept in a key stress area, and the problems that in the prior art, multi-flexible-body coupling dynamics simulation is complex, and the calculation amount is huge are solved.

The invention belongs to the technical field of automobiles, and particularly relates to a ground vehicle low-calculation-power path tracking control method considering a coupling gradient. The method comprises the following steps: firstly, establishing a vehicle dynamics model and a kinematics model considering the coupling gradient through coordinate transformation and dynamics analysis, and ensuring the path tracking precision of an unmanned ground vehicle on the coupling gradient; secondly, an unmanned ground vehicle path tracking system considering actuator time lag is constructed, and state space equation discretization is carried out, so that the system can be used for model prediction control; and finally, a path tracking control method is constructed, Laguerre function fitting is utilized to replace a link of solving an optimal control sequence through quadratic programming in traditional model prediction control, and the computing power demand of the control method is remarkably reduced. Through simulation verification, the provided control method can effectively reduce the computing power of the control method on the premise of ensuring the path tracking accuracy of the unmanned ground vehicle.

The application discloses a kind of closed loop control digital microfluidic system and method thereof, it is related to microfluidic technical field, including, initialization digital microfluidic chip electrode array, set electrode spacing, electrode size and voltage upper limit, and collect empty load state signal, generate initial reference data;Droplet is formed in the predetermined position of digital microfluidic chip, and according to initial reference data, collect droplet initial position, volume and morphological information, generate droplet initial state data set;Droplet initial state data set is input after pre-training closed loop prediction model, carries out dynamics analysis and trajectory prediction calculation, generates droplet expected motion trajectory, and compares with droplet real-time state data flow, generates droplet deviation feedback data;According to droplet deviation feedback data, dynamically adjust preliminary driving voltage parameter, generate closed loop driving voltage sequence.The application improves droplet trajectory control precision, reduces environmental disturbance and the motion error brought by electrode response difference.

The invention belongs to the crossing field of electronic information, electromechanical control and material engineering, and discloses a high-temperature metal single droplet generation device for a droplet breaking experiment. The whole device is composed of a liquid drop generation module, an air pressure control module, a temperature control module, an atmosphere protection module and an optical imaging module. The liquid drop generation module drives a firing pin to instantly strike molten metal in the material storage valve body through an air cylinder, so that the molten metal is sprayed out through a nozzle to form a single liquid drop with the diameter of about 150-400 microns. The air pressure control module provides a stable and adjustable compressed air source, the temperature control module maintains a metal liquid state, inert gas is introduced into the atmosphere protection module to prevent oxidation, and the optical imaging module realizes synchronous observation and kinetic analysis of a droplet generation process by adopting ultra-high-speed photography. The device is compact in structure, accurate in control and stable in operation, can stably generate a single droplet under the normal pressure condition, has good repeatability and controllability, and is suitable for high-temperature droplet experimental research in the fields of material science, aerospace, national defense and the like.

The present disclosure relates to the technical field of intelligent robots, and specifically provides a robot, a control method and device thereof, and a storage medium. A robot control method includes obtaining first attitude information of a robot and determining second attitude information of a standing surface according to the first attitude information, determining a target dynamic equation according to a dynamic equation of the robot and a dynamic equation of the standing surface, establishing a control optimization task of the robot based on the target dynamic equation, obtaining target torques of each joint of the robot based on the first attitude information, the second attitude information and the control optimization task, and controlling movements of each joint of the robot according to the target torques. In the present disclosure, through dynamic analysis and optimization control of the attitude of the robot and the attitude of the standing surface, the balance problem of the robot on a dynamic standing surface is solved, the balance control of the robot on the dynamic standing surface is realized, the application scenario of the robot is expanded, and the control stability of the robot is improved.

The invention relates to the field of medical image analysis, in particular to a drug distribution and metabolism dynamic analysis system of a multispectral microscopic image, which comprises a light source module, a drug distribution module, a drug distribution module, a drug metabolism dynamic analysis module and a drug metabolism dynamic analysis module, and is characterized in that the light source module emits a multiband light source comprising broadband white light and time sequence switching narrow-band monochromatic exciting light; the data acquisition module is used for acquiring a multi-channel spectral image signal and generating a multi-spectral image containing a spatial dimension and a spectral dimension; the pharmacokinetic analysis module constructs a geometric characterization framework of drug metabolism based on a differential geometry theory, and comprises a Riemannian manifold characterization unit for mapping multispectral data to a Riemannian manifold space, a curvature tensor analysis unit for calculating manifold curvature characteristics and a parallel transmission optimization unit for evaluating drug transmission efficiency; the application analysis module carries out drug target co-localization analysis, space-time metabolic map analysis and delivery system optimization based on the analysis result, the spectrum channel limitation of traditional fluorescence imaging is broken through, and the precision and dimension of drug metabolism analysis are remarkably improved.

The invention discloses a medicine grabbing manipulator which comprises a horizontal movement mechanism, a lifting mechanism, a swing mechanism and a tail end executing mechanism, the horizontal movement mechanism is used for driving the tail end executing mechanism to horizontally move in the extending direction of a medicine frame, and the lifting mechanism is used for driving the tail end executing mechanism to move up and down. The swing mechanism is used for driving the tail end executing mechanism to rotate, and the tail end executing mechanism is used for clamping medicine.

The application discloses a rotating wing type variable cross-section crack blade fault characterization and dynamics analysis method, belongs to the field of rotating wing type variable cross-section crack blade fault characterization and dynamics analysis, and comprises the following steps: according to the finite element theory and the plate shell theory, based on centrifugal rigidification, rotation softening and the coriolis force effect, a motion differential equation of the wing type variable cross-section blade is established; according to the motion differential equation of the wing type variable cross-section blade, based on the crack existing in the blade, the breathing effect between crack surfaces is equivalent by adopting a spring unit, a rotating wing type variable cross-section crack blade dynamics model containing the breathing effect is established, vibration energy theory is adopted to convert the displacement response into energy response, based on the rotating crack blade crack diagnosis index with the breathing effect, the crack characteristics of the blade are obtained, and the application is more effective and accurate in analyzing the rotating crack blade fault, and can provide theoretical guidance for detection and diagnosis of the rotating crack blade.

The invention discloses a propeller system dynamics analysis method based on a shell unit, and the method comprises the steps: firstly determining the geometric parameters and design conditions of a propeller according to the design task and working condition of an aviation aircraft; and blade chord length distribution and mounting angle distribution are calculated based on an aerodynamic load rule, and an NACA airfoil profile is selected to generate a three-dimensional geometric model. Then, grid division is carried out according to the model, the connection relation between blade nodes and units is established, and a quadrilateral eight-node shell unit grid is formed; a finite element model is established by adopting an isoparametric element theory, a stiffness matrix and a mass matrix are calculated, and then a kinetic equation of the propeller is established. The inherent frequency and vibration mode characteristics of the blade are obtained through modal analysis, and on the basis, aerodynamic loads are applied for dynamic response analysis. According to the method, the parameterized modeling process of the propeller from geometric modeling to kinetic analysis is realized, the aerodynamic coupling vibration characteristics of the blade can be efficiently evaluated, and the method has the advantages of high modeling precision, high analysis efficiency and high adaptability.

The invention belongs to the technical field of automobiles, and particularly relates to a ground vehicle four-wheel cornering stiffness estimation method considering cross-country environment disturbance. The method comprises the following steps: firstly, establishing a vehicle dynamics model and a kinematics model considering a coupling gradient through coordinate transformation and dynamics analysis, and ensuring the precision of the established unmanned ground vehicle model in a complex cross-country environment; secondly, constructing an unmanned ground vehicle path tracking system and performing state space equation discretization so that the unmanned ground vehicle path tracking system can be used for four-wheel independent cornering stiffness estimation; finally, a four-wheel cornering stiffness estimation method based on adaptive forgetting least square is provided, and accurate and reliable estimation of the tire cornering stiffness in the off-road environment can be ensured.

The invention discloses a transformer cooling system fault detection method and a related device, and the method comprises the steps: collecting multi-source heterogeneous data in the operation process of a transformer, and carrying out the normalization processing, and obtaining multi-modal data, which comprises the temperature, the oil flow rate, the pressure and the load current; performing real-time reconstruction on the internal temperature distribution of the transformer according to the temperature and the load current in the multi-modal data to obtain a dynamic temperature gradient field; vortex dynamic analysis is carried out according to the oil flow velocity, the pressure and the dynamic temperature gradient field, vortex characteristics are determined, and the vortex characteristics comprise the pressure-flow phase difference, the turbulence intensity and the oil flow vorticity; and constructing a space-time diagram structure model based on the multi-modal data, the dynamic temperature gradient field and the vortex characteristics, and solving a cooling system fault detection result. The problems that in the prior art, the sensing capacity is poor, and therefore early-stage eddy current abnormity cannot be captured can be solved; and shutdown detection is needed, so that complex working conditions are difficult to process, and real-time working condition changes cannot be handled.

The application discloses a kind of real-time estimation method and system of whole vehicle mass based on dynamics analysis during gear shifting, method includes the following steps: S1, the real-time running data and basic parameters of vehicle are collected;S2, whether vehicle is in gear shifting state according to real-time running data;S3, the vehicle state at gear shifting time is analyzed dynamically, and the whole vehicle mass is obtained;S4, the whole vehicle mass is returned to server and is saved;S5, the whole vehicle mass at gear shifting time is repeatedly collected and average is calculated.The method of the application distinguishes the real acceleration of the vehicle and the engine acceleration by analyzing the dynamics during gear shifting, improves the accuracy of the whole vehicle mass estimation, relies on the vehicle intelligent networking system, does not need to install additional sensors, is suitable for most commercial vehicles, reduces the cost and increases the practicability.

This invention discloses a method for analyzing the contact strength and fault dynamics of rotating components in CNC equipment based on digital mechanism coupling, relating to the field of high-fidelity numerical modeling and dynamic-static analysis of CNC machine tools. The method includes the following steps: acquiring measured data of the maximum spindle axial and radial forces during machining; establishing a spindle bearing contact strength model under multi-physics conditions; introducing a temperature-dependent elastic modulus correction relationship; and calculating the maximum contact stress and deformation of the spindle bearing under mechanical-temperature coupling conditions. It also involves acquiring measured data of the dynamic axial and radial forces of the spindle during machining; establishing a multi-degree-of-freedom spindle-bearing fault dynamics model under mechanical-electromagnetic bidirectional coupling; and achieving accurate fault characteristic identification through iterative response calibration. This invention proposes a digital mechanism coupling framework that, by differentiating measured data with numerical solutions to tune key parameters in the coupling model, maximizes the similarity between the simulation response and measured data, thereby improving the accuracy of the digital model and its consistency with the physical mechanism.

The invention discloses a rotary steerable drilling tool, a posture correction method and system thereof and a medium, and particularly relates to the technical field of oil field drilling engineering, and the method is technically characterized in that the method comprises the steps that the internal friction torque and the eccentric torque of the rotary steerable drilling tool during underground work are obtained; dispersing the drill string into a structural model comprising at least one beam unit by utilizing a finite element method, and analyzing the dynamics of the rotary steering drilling tool by utilizing the structural model in combination with a virtual work principle to obtain a dynamic analysis result of the rotary steering drilling tool; constructing a first relation model by using the internal friction torque, the eccentric torque and the drilling fluid flow; obtaining attitude data of any hole drift angle and a tool face angle of the rotary steering drilling tool, and constructing a second relation model between the theoretical measured value of the well track and the actual measured value of the well track; and constructing a well track correction matrix error model through the first relation model, the second relation model and a preset flow feed-forward compensation algorithm.

The present application belongs to the technical field of flow field, and particularly relates to a general simulation method of complex particle two-phase flow. The method comprises the following steps: S1: constructing a geometric representation model to represent the geometric information of the complex particle and dividing a grid; S2: on the basis of the grid divided in S1, adopting a characteristic line splitting finite element method to solve the flow field to obtain the flow field velocity at pseudo n+1 time and the flow field pressure at n+1 time; S3: calculating the force and torque of the complex particle; and S4: calculating the attitude of the complex particle through a six-degree-of-freedom model. The present application has the following effects: high calculation efficiency, reduced calculation complexity and cost, and improved simulation efficiency. Strong comprehensiveness, which can accurately describe the translation and rotation motion of the complex particle and provide comprehensive dynamic analysis. Good stability, which realizes stable solution of the coupling of fluid and particle motion and avoids numerical oscillation and instability. Multi-scale simulation capability, which can accurately simulate at different scales and meet the demand of multi-scale numerical simulation.

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.

The application relates to a dynamic response analysis method of a gas turbine cylinder elastic support structure, wherein the method comprises the following steps: generating a finite element simulation result of the gas turbine cylinder elastic support structure based on at least one of an isotropic loss factor, a structure size, an elastic modulus and an acting load of the gas turbine cylinder elastic support structure; constructing a firefly optimization algorithm-back propagation FA-BP neural network model; training the FA-BP neural network model by using a training set; evaluating the trained FA-BP neural network model, and generating a dynamic response result of the gas turbine cylinder elastic support structure after the evaluation result meets a preset condition. The embodiment of the application can realize training and prediction of a dynamic analysis model of an elastic support structure, provide a fast iteration method for design optimization, improve the calculation efficiency of elastic support dynamic simulation in the iteration design process, and realize a dynamic simulation method with high efficiency and precision.