246 results about "Bidirectional coupling" patented technology

The invention discloses a numerical simulation method for an avalanche impact protection structure based on bidirectional coupling, and relates to the technical field of mountain disaster protection, and the method comprises the steps: modeling and initializing an avalanche material source: employing a discrete element theory to simulate an avalanche process, and achieving the whole-process dynamic simulation and reproduction of an avalanche disaster from the starting to the movement to the impact protection structure; protection structure modeling and parameter setting: modeling an avalanche protection structure based on a universal finite element simulation platform; discrete element-finite element contact coupling setting: solving unit stress and strain data; numerical simulation control and solution; impact response extraction and result analysis: performing systematic analysis on the structure response and impact characteristics to evaluate the dynamic performance and safety margin of the structure under the action of avalanche impact; the method can be used for predicting the impact effect of the avalanche disaster on the downstream structure, and provides a theoretical basis and technical support for design and performance evaluation of a protection structure.

The invention relates to a stern bearing lubrication characteristic analysis method coupled with the influence of three-dimensional vibration of a stern shaft, and the analysis method comprises the steps: S1, inputting global parameters into a bearing lubrication performance and kinetic parameter calculation module and a propulsion shaft system vertical, horizontal and torsional three-dimensional vibration calculation module, and completing the corresponding calculation; s2, obtaining a bearing transfer matrix; s3, obtaining a system transfer matrix; s4, the forced vibration calculation module completes corresponding calculation; s5, a bearing relative position feedback module completes corresponding calculation; and S6, judging whether the calculation of one work cycle is completed or not, and storing and outputting the working characteristic result of the stern shaft-stern bearing in the cycle. By designing a bearing lubrication performance and kinetic parameter calculation module and a propulsion shafting vertical and horizontal torsion three-dimensional vibration calculation module, the vibration and lubrication coupling effect between a stern shaft and a stern bearing is fully considered, and a stern shaft vertical and horizontal torsion three-dimensional vibration and stern bearing lubrication characteristic bidirectional coupling model is established. And a vibration lubrication mutual feedback mechanism under a complex vibration condition is disclosed.

The invention discloses a cable temperature simulation model construction method and system based on multi-field coupling, and relates to the technical field of multi-physical field coupling simulation and tunnel cables, and the method comprises the steps: constructing a three-dimensional geometric model based on actual cable structure parameters and cable tunnel three-dimensional scanning data; physical field parameters are set for all layers of materials of the cable and peripheral media of the tunnel, boundary heat dissipation conditions are defined, two-dimensional grid division is conducted on the model according to the axial symmetry characteristic of the cross section of the cable, processing frequency load current excitation is applied, electromagnetic field distribution is solved, and a three-dimensional steady-state temperature field control equation is constructed; and solving three-dimensional temperature distribution of the cable and tunnel environment, establishing a bidirectional coupling relationship between an electromagnetic field and a temperature field, and iteratively updating Joule loss power and temperature field distribution by dynamically adjusting conductor conductivity until a convergence condition is met. According to the invention, real-time monitoring and early warning of the temperature along the cable are realized, and detection and response at the initial stage of a fault are ensured, so that the operation safety and reliability of a power system are improved.

The invention relates to the technical field of power equipment detection and evaluation, in particular to a transformer anti-short-circuit capability evaluation method based on finite element micro-damage accumulation, which comprises the steps of constructing a transformer full-fault finite element model, simulating and calculating the mechanical strength and safety coefficient of a winding, establishing a micro-damage accumulation model and evaluating the mechanical life. Bidirectional coupling analysis is realized through iterative simulation, and the anti-short-circuit capability of the transformer is dynamically evaluated in real time. According to the method, transformer design parameters, short-circuit impact influences and micro-damage cumulative effects can be comprehensively considered, accurate evaluation and dynamic monitoring of the anti-short-circuit capability in the whole life cycle are achieved, and a scientific basis is provided for operation and maintenance decisions.

The invention discloses an iterative coupling method for a fluid field and a temperature field of a motor, which is characterized in that through multi-round data iteration of a flow field and a thermal field, the precision of bidirectional coupling is approached by a one-way coupling process, the computing resource demand is obviously reduced, the computing complexity is reduced, the precision and efficiency are considered, and the method is suitable for rapid thermal design of the motor. The method has the advantages of being high in calculation efficiency, controllable in precision and high in universality.

Systems and methods for enhancing sensitivity in a sensor with exceptional points (EPs), including: providing a sensor in the form of an exception-point (EP)-enhanced sensor; providing one or optical fibers associated with the EP-enhanced sensor; providing a scatterer; and / or providing a reflective component, the reflective component influencing a mode coupling of the EP-enhanced sensor. Where the sensor is a microresonator: coupling one or more modes of the microresonator via a bidirectional coupling channel and a unidirectional coupling channel; manipulating the mode coupling by a scatterer and a reflective component, the reflective component influencing the mode coupling of the resonator; steering, via the reflective component, the microresonator around EPs; and / or sending, via the reflective component, one or more phase changes in response to external perturbations back to the microresonator.

The invention relates to the field of mechanical engineering, in particular to a hydraulic-structure collaborative optimization design method for a shield pump, and aims to solve the problems of load distortion and structure matching imbalance caused by traditional staged optimization. The method comprises the following steps: constructing a fluid-solid bidirectional coupling simulation model, and extracting transient hydraulic loads under multiple working conditions; establishing a structure dynamic response agent model based on modal superposition and Gaussian process regression; key coupling parameters such as the impeller outlet width and the volute base circle diameter are recognized through a Sobol method; and the efficiency, the lift fluctuation rate, the stress and the vibration are taken as multiple targets, and a Pareto optimal solution is searched through an improved genetic algorithm. Manufacturing constraints are embedded in the optimization process, the single period is shorter than 48 hours, and fatigue life evaluation and knowledge base intelligent recommendation are supported. According to the method, closed-loop cooperation of hydraulic excitation and structural response is achieved, the vibration prediction error is lower than 10%, the optimization dimension is compressed to be within 5 dimensions, the efficiency is improved by 20 times or above, and the performance reliability and the design intelligence level of the shield pump are remarkably improved.

The invention relates to the technical field of virtual power plant optimization scheduling, in particular to a low-carbon virtual power plant collaborative optimization method based on digital twinning and deep reinforcement learning, which comprises the following steps: intelligently coupled digital twinning collaborative modeling is carried out, and an aging-efficiency bidirectional coupling mechanism is developed; carbon energy flow coupling dynamic tracking is carried out, a block chain network is established to store carbon emission data, a carbon intensity database is established to guide low-carbon scheduling, and a space-time carbon footprint thermodynamic diagram is generated; constructing a hybrid optimization architecture to realize multi-temporal-spatial-scale collaborative optimization, generating a risk parameter packet and converting the risk parameter packet into risk model features; and establishing a risk assessment system, and developing a risk hedging strategy to realize risk dynamic protection. According to the method, the bottleneck of existing virtual power plant operation management is broken through, efficient equipment management, energy low-carbon scheduling, multi-temporal-spatial-scale collaborative optimization and effective risk prevention and control can be achieved, and the safety, reliability and resource utilization efficiency of virtual power plant operation are improved.

The invention relates to the cross technical field of computer-aided engineering and audio equipment design, discloses a circuit design simulation-based disc player design optimization method and system, and aims to solve the problem that the existing disc player design depends on physical prototype trial-manufacture and subjective listening evaluation and lacks multi-physical domain co-simulation capability. The method comprises the following steps: constructing a unified multi-physical domain model comprising a mechanical transducer, an electromechanical transducer and an electronic circuit sub-model; bidirectional coupling co-simulation based on the time sequence is executed, and an output electric signal is generated; extracting objective audio performance indexes such as total harmonic distortion and signal-to-noise ratio; and carrying out multi-objective optimization on the key design parameters by utilizing a genetic algorithm, and outputting a Pareto optimal scheme. The system comprises a model construction module, a co-simulation module, a performance index extraction module and an optimization module. Through high-fidelity full-link simulation and automatic optimization, the design efficiency and the audio fidelity are remarkably improved, and the research and development cost is reduced.

The invention relates to the field of numerical simulation, in particular to a porous ceramic model reconstruction and filtering performance simulation method, which comprises the following steps of: S1, obtaining internal structure image data of a ceramic material through micro-CT (Computed Tomography) scanning with micron-level resolution, and reconstructing a real three-dimensional microstructure of the ceramic material; s2, performing REV extraction and dynamic processing on the three-dimensional geometric model generated in the S1; s3, establishing a flow field model on the CFD, and setting corresponding boundary conditions; s4, the DPM is started, a particle injection source is configured, and particle physical parameters are set; s5, bidirectional coupling solution is executed, and high-precision particle motion and deposition process simulation is achieved; and S6, extracting simulation result data, and if the difference between the simulation result and the reference value exceeds a preset threshold value, returning to S4 and / or S5 to carry out parameter adjustment and model correction. According to the method, effective prediction of the particles in the porous structure can be realized.

The invention relates to a mixed dirt deposition analysis method combined with a three-dimensional dynamic grid technology, and belongs to the technical field of heat exchange equipment dirt deposition mechanism analysis. The method comprises the following steps: establishing a heat exchange surface physical model comprising a longitudinal vortex generator; grid division is carried out, and the number of grids meeting requirements is determined; traversing flow field parameters; traversing an adjacent area of the deposition bottom surface through a user-defined function; establishing a deposition and denudation rate model of the particle-devitrification mixed dirt; calculating the dirt layer thickness and the dirt thermal resistance of the mixed dirt; a three-dimensional dynamic grid technology is used for moving nodes to realize bidirectional coupling of dirt and a flow field. According to the invention, the particle-devitrification mixed dirt model is established, and the dynamic growth process of the dirt and the bidirectional coupling effect of the dirt and the flow field are realized in combination with the dynamic grid technology in the three-dimensional model, so that the dirt deposition distribution and the dirt thermal resistance in the simulation are closer to actual values.

The invention discloses a spiral bevel gear elastic-plastic fluid dynamic lubrication contact analysis and calculation method, device and equipment and a medium, and relates to the technical field of gear detection. Calculating the elastic deformation of the tooth surface in the gear meshing process based on the elastohydrodynamic parameters; calculating the tooth surface roughness distribution of the gear; constructing a mixed time-varying thermal elastohydrodynamic lubrication model of the spiral bevel gear according to the elastic deformation and the tooth surface roughness distribution; on the basis of a mixed time-varying thermal elastohydrodynamic lubrication model of the spiral bevel gear, subsurface stress field analysis and tooth surface morphology updating are introduced, bidirectional coupling iterative calculation of plastic deformation and lubrication behaviors is carried out, and a coupling solving result of a pressure field, oil film thickness distribution and a temperature field in a tooth surface contact area is obtained. According to the method, the influence of elastohydrodynamic lubrication on the contact stress is considered, and the accuracy of spiral bevel gear elastoplastic hydrodynamic lubrication contact analysis is improved.

The invention discloses a multi-scale bidirectional coupling sweating cooling simulation method which comprises the following steps: firstly, on a mesoscale, constructing a mesoscopic flow model, simulating flow of a coolant, and obtaining parameters such as porosity, permeability and inertia coefficient of a porous medium; introducing the obtained parameters into a porous medium panel area of a thrust chamber geometric model constructed under a macroscale to realize cross-scale parameter coupling; the flow and heat transfer process in the thrust chamber geometric model after cross-scale parameter coupling is simulated, and the speed, pressure, temperature and local heat flux density distribution of a combustion chamber and a porous medium panel area under the macroscale are obtained; and taking the local heat flow density as a new wall surface boundary condition, capturing the flow and heat transfer characteristics of a coolant in pores under a thermal state working condition based on the mesoscopic flow model, and further evaluating the overall cooling performance and the thermal protection effect of the porous medium panel. Through coupling calculation of the mesoscopic pores and the macroscopic combustion chamber, the accuracy and reliability of prediction of the cooling performance of the porous medium are improved.

The invention relates to the technical field of battery energy storage, in particular to an SOC and SOH online collaborative estimation method and system based on a multi-time-scale fractional order battery model, and the method comprises the steps: constructing a fractional order equivalent circuit model fusing fractional order impedance and fractional order capacitance, and designing a FOEKF + FOMIA-SVDUKF double-layer filtering collaborative architecture, thereby achieving the online collaborative estimation of the SOC and SOH of the multi-time-scale fractional order battery model, and achieving the online collaborative estimation of the SOC and SOH of the multi-time-scale fractional order battery model. According to the method, online synchronous estimation and adaptive bidirectional coupling of the battery fast-changing state and slow-changing parameters under multiple time scales are realized, and the technical problems of low estimation precision and poor robustness caused by poor time-space collaboration and lack of a parameter and noise adaptive mechanism of an algorithm in the prior art are solved.

The invention relates to the technical field of EPC engineering information management, in particular to an EPC engineering information management system supporting bidirectional matching of a business strategy and a technical path. The data acquisition and integration unit is used for acquiring multi-source heterogeneous data from the whole project implementation process; constructing a resource optimization allocation model based on the preprocessed business side data, and generating an actually executable resource allocation scheme; based on the resource configuration scheme and the model constraint condition, combining the technical side data and the external environment data to generate a technical path candidate set according with the business constraint condition; and based on the technical path candidate set and the business side data, constructing a bidirectional coupling optimization model, and performing multi-objective optimization solution to obtain an implementation scheme with an optimal score. A resource allocation scheme is mapped to each construction node, and a technical path candidate set conforming to business constraints is generated in combination with a BIM model and external environment data, so that accurate scheduling of materials, equipment and manpower and construction period prediction are realized.

An optical communication system can include a multiplexer / demultiplexer. The multiplexer / demultiplexer can transfer a first optical data signal between a first single-mode fiber and a first propagation mode of a few-mode fiber. The first propagation mode can have a first effective refractive index. The multiplexer / demultiplexer can transfer a second optical data signal between a second single-mode fiber and a combination of a second propagation mode of the few-mode fiber and a third propagation mode of the few-mode fiber. The second propagation mode and the third propagation mode can have a same effective refractive index that differs from the first effective refractive index. During propagation within the few-mode fiber, the second optical data signal can couple bidirectionally between the second propagation mode and the third propagation mode, while being substantially isolated from the first optical data signal in the first propagation mode.

The embodiment of the invention relates to the field of power systems, and provides a collaborative design scheme generation method and device for submarine cable lightning overvoltage suppression and insulation cooperation based on a particle swarm optimization algorithm, computer equipment and a storage medium, and the method comprises the steps: carrying out the initial configuration of optimization basic data of a to-be-simulated experiment, constructing to obtain a simulation environment after initialization configuration; based on the simulation environment after initialization configuration, parallel electromagnetic transient program simulation is carried out so as to construct a bidirectional coupling framework simulation model of submarine cable lightning overvoltage suppression and insulation cooperation; and based on an improved hybrid particle swarm optimization algorithm, solving the bidirectional coupling framework simulation model to generate a collaborative design scheme corresponding to the submarine cable lightning overvoltage suppression and insulation cooperation process. By adopting the method, the overvoltage level of the submarine cable system and the technical implementation effect of insulation cooperation can be improved, and the safety of the system is improved.

The invention relates to the field of bionic robots, and provides a bidirectional coupling fluctuation type propelling bionic manta ray based on an eccentric wheel connecting rod structure, the bidirectional coupling fluctuation type propelling bionic manta ray comprises a head mechanism, a tail mechanism and a body mechanism, and the head mechanism is connected to the body mechanism; the body mechanism comprises a silica gel pectoral fin and five frameworks, each framework is provided with two connecting rod mechanisms, each connecting rod mechanism comprises a driven rod, a connecting rod and an eccentric wheel, the eccentric wheel is provided with a wheel hole and a first connecting hole, the connecting rod is provided with a second connecting hole and a third connecting hole, the driven rod is provided with a fourth connecting hole and a fifth connecting hole, and the driven rod is in a bent shape. The second connecting hole is rotationally connected with the first connecting hole through a rotating shaft, the third connecting hole is rotationally connected with the fourth connecting hole through a rotating shaft, the fifth connecting hole is rotationally connected with the framework through a rotating shaft, and the silica gel pectoral fin is connected with all the driven rods. The tail mechanism comprises a fishtail, the fishtail is connected to one framework, and two driving mechanisms are arranged in the fishtail. According to the flexible silica gel pectoral fin, the reliability of the bionic manta ray is improved.

The invention discloses a multi-physics field coupling numerical method for simulating wave-ocean current-earthquake-seabed interaction, and relates to the technical field of ocean engineering numerical simulation, and the method comprises the following steps: model construction, load application, coupling solution, and result analysis and application. According to the method, revolutionary simulation of collaborative response of a seabed and a structure in a complex marine environment and multi-physics field high-precision bidirectional coupling of random waves, steady-state ocean currents and seismic excitation are realized by constructing a total-factor coupled high-precision numerical model, the problems of incomplete coupling dimensions and excessive model simplification of a traditional method are solved, and the method has the advantages of being high in practicability and high in reliability. According to the wave-induced seabed liquefaction simulation method, the simulation result and the actual working condition coincidence degree are remarkably improved, the frequency domain transfer function method is introduced to analyze the seabed pore pressure response, the cognitive depth and the prediction precision of the wave-induced seabed liquefaction mechanism are remarkably improved, and in addition, through efficient algorithms such as GPU parallel calculation, self-adaptive grids and frequency domain-time domain mixed solution, the wave-induced seabed liquefaction simulation method has the advantages that the wave-induced seabed liquefaction simulation precision is improved. And the calculation efficiency is greatly improved while the precision is ensured.

The invention discloses a bidirectional coupling numerical simulation method for a translation heating process of regular or irregular food in a microwave cavity, and belongs to the technical field of microwave heating. According to the invention, liquid nitrogen is adopted for freezing and homogenizing food samples, so that the accuracy of food electric heating characteristic parameters can be improved; the prediction precision of microwave heating numerical simulation can be improved by adopting a bidirectional coupling translational motion mode. The method for accurate modeling of regular food and platform or round corner approximate modeling of irregular food corners can effectively conform to the finite element and finite time domain difference principle. Aiming at microwave-assisted heating models of various heat sources, the fluid power grid division mode provided by the invention can effectively reduce false cooling phenomena occurring at the initial stage of heating translational motion operation, and is more suitable for the actual microwave-assisted heating treatment process. According to the invention, the time and economic cost of sample testing can be greatly reduced, and accurate prediction of microwave processing temperature changes of regular food and irregular food can be realized.

The invention relates to the technical field of electric power, in particular to a multi-field coupling optimization design method applied to a high-voltage wall bushing. According to the technical scheme, the method comprises the following steps: (1) constructing a three-dimensional geometric model of the high-voltage bushing, and solving an electric-thermal bidirectional coupling field based on a finite element method; selecting a to-be-optimized variable, and constructing a dual-objective function of an electric field distortion coefficient and a hot spot temperature through nonlinear regression; (2) carrying out multi-target optimization by adopting an improved multi-target particle swarm algorithm coupled with the soup discharge discrimination, and synchronously executing discharge risk screening in an iteration process; and (3) generating an optimization design scheme based on the Pareto leading edge solution set, and verifying that the design is effective through a field distribution test. Therefore, the establishment of the optimization problem is more accurate, the optimization efficiency is higher, and the phenomena of partial discharge and the like of the bushing caused by a local high-field-intensity region generated in the design can be avoided.

The invention discloses a heterogeneous model coupling-driven waterlogging early warning method and system, and relates to the technical field of smart cities and disaster prevention and reduction, and the method comprises the steps: constructing a rainfall space-time prediction model based on LSTM; constructing an earth surface-pipe network bidirectional coupling hydrodynamic model; constructing a multi-scene risk assessment prediction model; constructing a multi-modal large model drainage facility defect identification model; and performing waterlogging early warning based on the rainfall space-time prediction model, the earth surface-pipe network bidirectional coupling hydrodynamic model, the multi-scene risk assessment prediction model and the multi-modal large model drainage facility defect identification model. According to the method, for a high-density built-up area, through heterogeneous model dynamic coupling and real-time decision optimization, the prediction work of the waterlogging risk is realized, and a data basis is provided for later multi-scale evaluation and multi-department collaborative scheduling.

The invention discloses an offshore floating body FSI forecasting method and system based on bidirectional coupling of FVM and MBD. The method comprises the steps that a numerical pool model containing a floating body and surrounding fluid is established in a CFD solver; establishing a floating body structure finite element model in the MBD solver; constructing a bidirectional coupling mapping relation between a fluid grid and a structural grid based on a preCICE open source library to realize real-time transmission of data; calculating a floating body surface fluid load time calendar value through a CFD solver, and transmitting the floating body surface fluid load time calendar value to the structure model; the MBD solver calculates structural dynamic response and feeds back a deformation time calendar value to a fluid domain; fluid grid deformation is dynamically updated based on a Laplace solver; iteratively executing a load transfer-structure response-grid updating process until the pressure and displacement residual error meet a convergence condition; and outputting a coupling forecast result of the fluid load and the structural deformation. High-precision two-way coupling is achieved through the open source coupling library, and the accuracy of floating body structure dynamic response forecasting in the complex wave environment is remarkably improved.

The utility model provides a bidirectional coupler and a radio frequency chip. The bidirectional coupler comprises a main circuit, a coupling circuit which is located at one side of the main circuit and is coupled with the main circuit, and an input port which is formed by bending and extending one end of the main circuit towards a direction far away from the coupling circuit, the antenna port is formed by bending and extending the other end of the main circuit towards a direction far away from the coupling circuit, the coupling port and the isolation port are respectively formed at two ends of the coupling circuit, the first end of the adjustable resistor is connected to the isolation port, and the first end of the adjustable capacitor is connected to the isolation port. According to the bidirectional coupler, high isolation can be realized, stable performance can be maintained by means of high flatness of a full frequency band even if impedance mismatch is caused by temperature change, and meanwhile, the size and the cost of the bidirectional coupler can be reduced.

The invention discloses a decoupling cell-hybrid equivalent model and a permanent magnet flat wire motor multi-physical field cooperation rapid optimization method, a rotor and a stator are modeled separately, and complete separation of a motor topological structure and an analysis grid is realized at the rotor part through decoupling cells, so that the motor topological structure can be completely separated from the analysis grid when facing various different rotor topological structures. And a new grid structure does not need to be repeatedly constructed, so that the modeling efficiency, the model universality and the modeling flexibility of a complex structure are greatly improved. And the stator adopts hybrid equivalent modeling, so that the solving complexity is remarkably reduced while the high calculation precision is kept. The rotor side adopts boundary encryption subdivision to ensure stress precision, and the stator side adopts a parameterized equivalent magnetocaloric network model to reduce analysis time consumption, and unification of high precision and high efficiency is realized. By means of an NSGA-II algorithm, a bidirectional coupling calculation framework among an electromagnetic field, a temperature field and a stress field is constructed, efficient coupling iteration among physical quantities of the three fields is achieved through coupling calculation, and coupling prediction precision and design reliability are effectively improved.

The invention relates to an intelligent network source collaborative optimization control method, device and equipment for a power system and a medium, and the method comprises the steps: collecting the operation data of a target power system, and triggering a two-stage collaborative optimization control strategy in response to the condition that the state quantity is greater than a preset threshold value; responding to a cross iteration optimization control strategy until the regional control deviation and the hub node voltage deviation meet a preset deviation target, and generating an active adjustment amount instruction; in response to a reactive power optimization and compensation active power distribution optimization control strategy, generating an update instruction of a hub node voltage and a distribution instruction of a compensation active power adjustment amount; and responding to the active adjustment amount instruction, the updating instruction and the distribution instruction until a preset optimization target is met. Therefore, the problems that the problem of mutual restriction cannot be solved, the coordination of active power and reactive power is difficult to realize, the operation safety and economical efficiency are influenced and the like due to the fact that the problem of bidirectional coupling cannot be effectively processed and the real-time control level is not fully considered in the related technology are solved.

The invention discloses a synchronous bidirectional coupling solving method for large deformation of a flexible slender beam under uniformly distributed pressure based on an accurate load stiffness matrix, and relates to the field of computational mechanics. According to the method, a local curve coordinate system and a uniformly distributed pressure vector function are constructed through an absolute node coordinate Euler-Bernoulli beam unit discrete beam structure, a unit external force vector is derived based on a virtual work principle, and a precise load stiffness matrix is obtained through a vector value function differential rule. The load stiffness matrix and the elastic tangent stiffness matrix are synchronously assembled in the Newton-Rafson iteration step, and synchronous bidirectional coupling solution of the load and the configuration is achieved. According to the method, the numerical value loading limit of a traditional method is broken through, error accumulation is avoided, the calculation stability and precision are improved, the large deformation and even post-buckling behavior of the flexible slender beam under the uniformly distributed pressure can be accurately analyzed, and the method is suitable for design optimization of related equipment in the fields of ocean engineering, mechanical engineering and the like.

The invention belongs to the technical field of aircraft ground support facilities, and particularly relates to a fluid-solid coupling mechanical analysis method for a large-span aircraft ground agile protection structure. According to the method, on the basis of an arbitrary Lagrange-Euler (ALE) algorithm, by integrating HyperMesh pretreatment and an LS-DYNA solver, high-precision simulation of fluid-structure interaction response of the plane ground agile protection structure under the action of a wind load is achieved. Comprising the following steps: establishing an aircraft ground agile protection structure finite element model and carrying out component division and grid division; constructing a semi-cylindrical air drainage basin and setting fluid material attributes and boundary conditions; and defining a fluid-solid coupling interface, and carrying out explicit dynamic calculation by adopting a bidirectional coupling algorithm. According to the method, the problems of low simulation precision and poor convergence of a flexible large-span structure in a traditional method are effectively solved, the stress, deformation and stability of the plane ground agile protection structure at different wind speeds can be accurately evaluated, and a reliable basis is provided for wind resistance design and safety evaluation.

The application discloses a soil deep loosening simulation method based on DEM-FEM bidirectional coupling. The method comprises the following steps: establishing a soil discrete element model and a deep loosening tool finite element model; using the discrete element DEM simulation to analyze the influence law of soil characteristic parameters and deep loosening tool motion parameters on soil deep loosening effect and deep loosening tool working resistance; changing the soil characteristic parameters and deep loosening tool motion parameters, and calculating the information such as soil deep loosening particle mixing degree, deep loosening tool working efficiency and working resistance under different variables; analyzing the influence law of the working resistance obtained from the DEM on the deep loosening tool structure through the finite element FEM analysis, changing the soil structure parameters and deep loosening tool structure parameters, and counting the statics and dynamics analysis results under different variables; simulating through the DEM-FEM bidirectional coupling, analyzing the soil deep loosening mechanism of the deep loosening tool, and obtaining the parameter and structure optimization results. Compared with the prior art, the application can effectively reduce resistance and consumption, and improve working efficiency.

The invention discloses an inflatable returner structure safety analysis method and system considering a thermo-pneumatic elastic effect, and the method comprises the steps: building a structural dynamics sub-model, a fluid domain calculation sub-model and a structural thermodynamics sub-model of an inflatable returner, and comprehensively considering the structural thermal deformation caused by aerodynamic heat and the thermal expansion effect of an internally inflated gas; and a bidirectional coupling relationship among aerodynamic force, aerodynamic heat, structural deformation, temperature and internal charging pressure is constructed through the feedback effect of structural deformation on a flow field and an aerodynamic load. And carrying out multi-physics field simultaneous solution by adopting a time step propulsion method, and finally realizing comprehensive safety evaluation of the temperature, stress and deformation characteristics of the structure. According to the method, aerodynamic load distribution, temperature field change, stress response and vibration characteristics of the inflatable returner in the reentry process can be accurately predicted, so that the thermal protection performance and structural safety of the inflatable returner are comprehensively evaluated, and reliable analysis means and engineering basis are provided for optimization design and structural stability improvement of a thermal protection system.