333 results about "Fluid–structure interaction" patented technology

The invention relates to the technical field of pumped storage power station multi-sensor monitoring network time-space synchronous measurement, in particular to a pumped storage power station multi-sensor safety monitoring system, which comprises a sensor data acquisition module, a time-space synchronous network module, a data calibration module, a dynamic association model construction module, a multi-dimensional data fusion module and a graded early warning module. The dynamic correlation model building module simulates dynamic response of seepage pressure and surrounding rock strain through a fluid-structure interaction equation and a discrete element digital twinborn model, updates fracture permeability boundary conditions in real time, and extracts cross-sensor space-time correlation characteristics by adopting a convolutional long-short-term memory network improved by a multi-head attention mechanism. According to the method, the real-time early warning precision of abnormal events and the reliability of structural health assessment in the complex hydraulic and mechanical coupling environment are improved.

The embodiment of the invention discloses a numerical calculation method for water outlet icebreaking of a navigation body and related equipment, and the method comprises the steps: generating a floating ice field geometric model according to a working condition, and constructing a navigation body model of the navigation body; grid division is carried out on the floating ice field geometric model and the navigation body model, and a water outlet icebreaking calculation model is obtained; fluid-solid coupling relation definition is conducted on the effluent icebreaking calculation model, and an optimized effluent icebreaking calculation model is obtained; the optimized water outlet icebreaking calculation model is used for simulating the water outlet icebreaking conditions of the navigation body at different moments, and water outlet icebreaking numerical values of the navigation body at different moments are obtained. The fluid-solid coupling relation definition can more accurately describe the interaction between fluid and solid, and in the water outlet icebreaking process, collision and extrusion between a navigation body and an ice layer and subsequent icebreaking behaviors all relate to a complex fluid-solid coupling phenomenon, so that the fluid-solid coupling relation definition is carried out on the water outlet icebreaking calculation model, and the calculation accuracy is improved. Therefore, an accurate value of water outlet icebreaking of the navigation body is obtained.

The invention discloses a fluid-solid coupling numerical simulation method and device based on an embedded discrete fracture model. A structured grid is adopted to divide a reservoir matrix, and a discrete fracture model is embedded to construct an oil and gas reservoir geological grid. Establishing a transmission function, and formulating a porous medium fluid seepage control equation according to the transmission function. The equation is solved at each time node, a pore pressure field is obtained, and an equivalent pore pressure field is obtained through weighted averaging and serves as a boundary condition of the solid mechanical control equation. Expanding an oil and gas reservoir geological grid model, combining a crack-rock constitutive model, an effective stress principle and a stress balance equation, constructing a solid mechanical control equation, and solving and simulating rock deformation by adopting a finite element method and a Newton-Rafson method. Based on the constitutive relation of the composite material, matrix and crack seepage attributes are updated, the interaction between a seepage field and a stress field is considered in an iterative coupling mode, and multi-field coupling simulation is achieved. The problem that an existing method cannot be applied to a real oil and gas reservoir is solved.

The invention relates to a buried end cable wear prediction method and system based on multi-physics field coupling simulation, and belongs to the field of cable wear prediction. The method comprises the following steps: collecting and preprocessing hydrological environment data; carrying out three-dimensional ocean flow field modeling and fluid-solid coupling analysis; cable dynamic response simulation; cable and support structure contact modeling: applying the dynamic response of the cable to modeling of a contact area, and establishing a time-varying contact model by adopting an improved Hertz contact theory; abrasion loss calculation, wherein a dynamic Archard abrasion model is adopted to calculate the local abrasion volume; and fusing and visualizing multi-physics field data. Through a Navier-Stokes equation and a fluid-structure interaction algorithm, ocean current dynamic pressure, shear stress and cable mechanical response are interacted in real time, and the defect that a traditional static load model ignores fluid-structure bidirectional coupling is overcome; an improved Hertz contact model is adopted, the contact radius and the slip speed are introduced, and the over-underestimation problem of a traditional static contact hypothesis on abrasion loss prediction is solved.

The invention relates to the technical field of pipe network data processing, in particular to an automatic monitoring data processing method for pipe network pressure. The method comprises the following steps: acquiring pipe network structure data; constructing a pipeline topology network based on the pipe network structure data to generate the pipeline topology network; screening main pipelines and branch pipes of the pipeline topology network to obtain pipe network circulation data; carrying out pipe wall microwave resonator deployment on the main pipeline and the branch pipelines based on the pipe network circulation data, and capturing pipeline circumferential deformation harmonic waves in real time through the deployed microwave resonators; longitudinal wave propagation time delay of pipe network circulation data is analyzed, and a pipe body structure dynamic resonance atlas is constructed in combination with pipeline circumferential deformation harmonic waves; and carrying out pipe network internal pressure and pipe wall equivalent stress calculation on the pipeline topology network through a pipe body structure dynamic resonance map. By combining pipeline topology analysis, microwave resonator monitoring, dynamic resonance spectrum and bidirectional fluid-solid coupling analysis, the accuracy of pipe network pressure monitoring and identification is improved.

The invention discloses a simulation method for evaluating damage of a concrete gravity dam under the action of an explosion load. The simulation method comprises the following steps: establishing geometric models of the concrete gravity dam, water and explosives, performing grid division on the geometric models, and dispersing units into particles to obtain a discretization model; giving material parameters, boundary conditions and contact to the discretization model, and setting a detonation point position and a detonation mode; coupling effects between the explosive and water, between the water and the concrete gravity dam and between the explosive and the concrete gravity dam are set; key information is initialized; a fluid-structure interaction force is calculated by adopting an asynchronous solution IHPD-SPH coupling method; an SPH solver is adopted to update the speed and density information of the fluid; an IHPD solver is adopted to update internal force and acceleration information of the solid; checking whether the calculation duration is met or not, and if yes, ending calculation; if not, recalculating the fluid-solid coupling force according to the currently obtained particle state; and obtaining a dam damage result, and performing damage grade evaluation.

The invention discloses a fluid-solid coupling analysis method, system and model for cross-scale evolution of an ocean structure. The method comprises the following steps: establishing a numerical wave water tank; establishing a plurality of reinforcement layer material RVE models, obtaining a macroscopic mechanical property curve of the reinforcement layer material, and obtaining a corresponding stress-strain constitutive relationship; based on the stress-strain constitutive relation, a reinforcing layer component model of the laminated structure is established, a light deformable layer component model of the laminated structure is established, and the reinforcing layer component model and the light deformable layer component model are assembled to obtain an overall laminated floating structure; and S100, merging the laminated floating structure into the numerical wave water tank in the step S100, carrying out fluid-solid coupling numerical simulation under the action of waves, judging the working condition of plastic deformation of the floating structure according to a result, and obtaining a plastic damage area and an elastic-plastic evolution response of the laminated floating structure. According to the method, the water elastic-plastic response of the large floating structure under the action of waves can be solved and optimized.

According to the fluid-structure interaction-based dynamic response analysis method for the floating type photovoltaic structure, the anchoring system action of the floating type photovoltaic structure is equivalent to concentrated force, and a simplified floating type photovoltaic structure numerical model is established; and establishing a numerical analysis method for safety evaluation of the floating photovoltaic structure under a given wind wave and flow condition based on fluid-structure interaction. By adopting the method disclosed by the invention, the instantaneous stress-strain field of each component of the floating photovoltaic structure with relatively high precision can be obtained, so that a basis can be provided for the design of each component of the floating photovoltaic structure, and a reference basis can be provided for the safety assessment of the floating photovoltaic structure.

A worm and worm gear pair heat-fluid-solid coupling analysis method comprises the following steps that 1, a heat-fluid-solid coupling simulation analysis model of a worm and worm gear pair is built, and a three-dimensional geometric model is built based on the worm and worm gear meshing principle; 2, parameterized grid division is carried out on the simulation analysis model, a tetrahedral unstructured grid is adopted for a fluid domain, and a worm and worm gear tooth surface area is densified; 3, based on the fluid dynamics theory and an RNG # imgabs0 # turbulence model, establishing an oil-immersed lubricating oil gas two-phase flow transient simulation model, and solving fluid dynamic pressure and a convective heat transfer coefficient through a pressure-speed coupling algorithm; 4, establishing a three-dimensional transient dynamic simulation model based on a solid mechanics theory, combining a temperature-stress coupling field equation, adopting an explicit dynamic algorithm, and iteratively solving thermal deformation and stress strain of the worm and the worm gear through a finite element method; and 5, bidirectionally transmitting the pressure of the fluid domain, the convective heat transfer coefficient and the thermal deformation data of the solid domain through the fluid-solid interface, and carrying out iterative solution until convergence.

The invention discloses a simulation method, device and equipment for predicting flow and deformation of a porous medium and the medium. The method comprises the steps that a computational domain is selected, a corresponding computational grid is generated, and porosity initialization is conducted on the computational domain; determining a time step length and a discrete format, and setting a non-uniform factor to solve a control equation set which comprises a continuity equation, a fluid dynamics equation, a skeleton mechanics equation and a porosity updating equation; and analyzing and displaying a solving result. According to the porous medium flow and deformation simulation method independent of hypothesis and empirical parameters, the method is based on the basic principle of the microcosmic fluid-solid coupling effect, a porous medium fluid-solid coupling body kinetic equation is adopted, the situation that a traditional modeling method depends on volume averaging hypothesis and depends on a multi-phase interaction model is avoided, and the modeling efficiency is improved. The method has cross-scale applicability, and provides a new theoretical basis and prediction means for the development of technologies related to porous medium multiphase dynamics and multi-field coupling problems.

The invention relates to the technical field of fluid-solid coupling, in particular to a rock-soil body fluid-solid coupling simulation method and system. Firstly, a fluid-solid coupling model is constructed according to a rock-soil body balance equation, a seepage continuity equation and a permeability function considering deformation influence, and the fluid-solid coupling model can realize bidirectional coupling of a stress field and a seepage field, so that the fluid-solid coupling process of the rock-soil body is more accurately simulated through the fluid-solid coupling model; in addition, the fluid-structure interaction model uses many parameters, including mechanical parameters and permeability parameters, so that the inversion efficiency is low; according to the method, an orthogonal test method is adopted to carry out sensitivity analysis on the fluid-solid coupling parameters of the rock-soil body, parameters sensitive to monitoring data are obtained, only target parameters are inverted, the number of the inverted parameters is reduced, and therefore the parameter inversion efficiency is remarkably improved; the invention further provides a model parameter inversion method based on the long and short term memory neural network.

The invention discloses a numerical analysis method for predicting speed distribution of downwash airflow of an unmanned aerial vehicle in a rice canopy based on a fluid-solid coupling method. The numerical analysis method comprises the following steps: measuring physical parameters of rice plants based on physiological characteristics of rice; establishing a three-dimensional rice plant model based on three-dimensional geometric modeling software; dividing a three-dimensional rice plant canopy grid based on grid division software; establishing a fluid-solid coupling model of the lower washing flow field of the unmanned aerial vehicle and the rice canopy; setting an initial boundary condition and performing spatial discretization; full-coupling finite element numerical simulation of the fluid-solid coupling model is carried out; performing post-processing on the numerical simulation result based on flow field post-processing software to obtain an evolution process and spatial distribution of the downward washing flow field of the unmanned aerial vehicle and dynamic behaviors of rice plants; and analyzing the influence of the dynamic behavior of the rice plant on the downwash airflow of the unmanned aerial vehicle, and determining the distribution rule of the downwash airflow speed in the rice canopy. The problems of high time consumption, influence of external conditions, difficulty in copying, limitation and the like are effectively solved.

The invention provides a pump injection design method based on an effective support coefficient, and belongs to the technical field of oil and gas field development, and the method comprises the following steps: S1, based on a fluid-solid coupling theory, establishing a hydraulic fracture proppant migration equivalent model considering a bedding fracture; s2, with the optimal laying area as the target, the hydraulic fracture proppant migration equivalent model is used for simulating the proppant migration conditions under different parameter combinations, and an effective support coefficient is calculated; s3, based on the calculation result of the effective support coefficient, analyzing the change rule of the effective support coefficient under different parameters, and establishing a distribution pattern; and S4, on the basis of the distribution pattern, the pump injection process is optimized by utilizing the optimal range of the effective support coefficient. By means of the method, optimization of pumping key parameters such as displacement, sand ratio, sand adding particle size and particle size combination can be achieved, improvement of the overall flow conductivity of a shale oil reservoir fracturing fracture system is achieved, and therefore the fracturing effect is improved.

The invention relates to the technical field of arc shaped energy-gathered blasting parameter design, and provides an arc shaped energy-gathered blasting parameter design method under a complex crustal stress condition, which comprises the following steps: establishing a double-hole blasting three-dimensional model comprising a rock mass, an arc explosive, an energy-gathered pipe and coupled air, applying a crustal stress boundary condition and carrying out stress initialization; setting material model parameters based on the test data; performing fluid-structure interaction dynamic response numerical simulation on the model by adopting LS-DYNA to obtain stress and strain response caused by blasting; and establishing evaluation indexes based on tensile stress, compressive stress and through crack formation, carrying out sensitivity analysis and optimization adjustment on key blasting parameters such as blast hole spacing, delayed detonation time, explosive loading amount and coupling coefficient, and finally determining an optimal blasting parameter combination in different stress states. The method can effectively meet the blasting operation requirement under the complex ground stress condition, the presplitting quality and the rock mass stability are remarkably improved, and the method has wide engineering application prospects.

The invention discloses a fluid-solid-sound coupling calculation method based on time domain analysis of an OpenFOAM platform. The fluid-solid-sound coupling calculation method comprises the following steps: decomposing a compressible fluid variable into an incompressible fluid variable and an acoustic pulsation quantity; deducing an acoustic control equation of a flow sound decomposition method under the dynamic grid; discretizing the acoustic control equation by adopting a finite volume method; applying an incompressible flow field boundary condition and an acoustic boundary condition; adopting an OpenFOAM dynamic grid technology to obtain grid information topological information and motion information; a PISO-SIMPLE merging algorithm is adopted to decouple the acoustic control equation; and solving the decoupled acoustic control equation to obtain sound pressure distribution so as to realize fluid-structure interaction vibration noise characteristic analysis. According to the method, the technologies of variable decomposition, fluid-solid coupling and dynamic grids are utilized, far-field linear hypothesis is avoided, acoustic forecasting of far and near fields is guaranteed, meanwhile, the calculation cost is saved, and the analysis efficiency is improved.

The invention relates to the technical field of data processing, and discloses a wind turbine generator optimization design method based on tidal current-wave-sediment coupling simulation. The method comprises the following steps: carrying out adaptive time step adjustment on marine environment data through a physical process intensity discrimination algorithm to obtain tidal current field, wave field and sediment transportation data; carrying out fluid-solid coupling calculation on the structural parameters of the wind turbine generator to obtain structural vibration response and ocean load distribution data, and predicting pile foundation scouring depth distribution; carrying out time-varying coefficient correction on the pile foundation bearing capacity parameters to obtain dynamic bearing capacity evaluation data; inputting a multi-objective optimization algorithm to obtain a Pareto optimal solution set; and obtaining a wind turbine generator optimization design scheme through engineering feasibility verification and screening. The technical problems that in existing offshore wind turbine generator design, tidal current-wave-sediment coupling simulation space-time scales are not matched, the pile foundation scouring prediction precision is insufficient, bearing capacity evaluation lacks time-varying characteristic consideration, and the multi-target optimization design capacity is insufficient are solved.

The invention belongs to the technical field of vibration control, and provides a fluid-structure interaction numerical calculation method for controlling flutter of a large-span bridge by a submerged heaving plate, which is based on computational fluid dynamics software Fluent, utilizes a dynamic grid technology, compiles a UDF secondary development program and embeds the UDF secondary development program into a solver for calculation. The method comprises the following steps: establishing a motion control equation of a rigid main beam-sling-underwater heaving plate coupling system in a wind field, embedding a system motion solving process into Fluent software by utilizing a user-defined function, and realizing system fluid-solid coupling solving by adopting a mode of alternately solving a rigid main beam and a wind field computational domain and simultaneously solving a heaving plate and a water body computational domain. And vertical and torsional motion responses of the controlled main beam are obtained. Compared with a physical experiment, rich information such as movement time history data of the main beam, the heaving plate and a nearby flow field under the condition of various sizes can be conveniently and safely obtained, vibration suppression mechanism analysis can be conveniently carried out, and the research difficulty, cost and risk are greatly reduced.

The invention provides an SF6 knob-insulator circuit breaker temperature field modeling and simulation method adapted to a low-temperature environment, and the method comprises the steps: building a simulation model, carrying out the modeling and simulation of a knob-insulator circuit breaker, and building a geometric model; part material attributes are set, and the material attributes of geometric model components are set; subdividing the geometric model, and dividing the geometric model through a grid division method; boundary conditions are set, the geometric model adopts a laminar flow interface and a solid heat transfer interface, and the boundary conditions are set for the laminar flow interface and the solid heat transfer interface respectively; and steady-state solving: independently solving fluid flow of the laminar flow interface and solid heat transfer of the solid heat transfer interface, and carrying out fluid-solid boundary coupling on solving results. The method focuses on the heat transfer effect between the insulating medium (fluid) of the circuit breaker and the wall and the internal structure (solid), considers the fluid-solid coupling under the actual operation condition of the circuit breaker, and is higher in model accuracy.

The invention discloses a fluid-solid coupling method and device and related equipment. The method comprises the following steps: creating a geometric model of a target object; performing grid division on the geometric model to obtain a discretized grid of the geometric model, and determining a coupling interface; obtaining a physical attribute of the geometric model, and generating a coupling time step length based on the physical attribute; the coupling time step length is adjusted according to the particle spacing of the discretized grid and the size of the finite element, numerical integration is conducted on the smooth particles and the finite element under the constraint of the coupling time step length, integration correction is conducted on the smooth particles, and boundary conditions are applied to the non-failure finite element in the coupling interface; defining a momentum equation; under the constraint of a preset information exchange condition, a momentum equation, a boundary condition and a coupling time step length, physical attributes of smooth particles, finite element nodes and background particles in a coupling interface are coupled and updated, and the processing precision and processing efficiency in the fluid-solid coupling process can be improved.

The invention discloses a water turbine blade topological optimization method combining a double-line learning neural network and conformal mapping. Firstly, a water turbine blade model is mapped to a two-dimensional plane through a conformal mapping algorithm, and a data sample library and corresponding conformal factors are generated. And obtaining an external force field and a displacement field of a model node under a specific flow field condition by adopting fluid-structure interaction analysis. According to the method, a global attention U-NET neural network is introduced, and a conformal factor, a structural topology, an external force field and a displacement field are used as input and output of the network to train the neural network. In the optimization process, dependence on traditional finite element analysis is reduced, the optimization efficiency is improved, efficient topological optimization of the water turbine blade is achieved through combination of off-line learning and on-line learning, and then the performance and reliability of a water turbine are improved.

The invention discloses a rapid earthquake vulnerability analysis method for a deepwater bridge, which can rapidly generate artificial waves meeting the requirements of a standard response spectrum, can shorten the time for producing the artificial waves in a traditional earthquake-proof time history construction method to about 10 minutes, and greatly improves the construction efficiency of earthquake-proof time history waves. Meanwhile, the dynamic water additional mass of the deepwater bridge is determined by using a particle swarm optimization algorithm; and determining the optimal dynamic water additional mass of the deepwater bridge by checking the seismic response of the beam-column unit model corresponding to the bridge local pier entity finite element model under the dynamic water additional mass and the seismic response error of the fluid-structure interaction pier entity finite element model established on the local pier entity finite element model. Compared with a traditional numerical type deepwater bridge flowing water additional mass determination method, the method is small in calculation amount and high in calculation efficiency, and a foundation is laid for accurate earthquake vulnerability analysis of the deepwater bridge.

The invention discloses a vortex-induced fatigue analysis method and device for a deep-sea steel catenary riser, electronic equipment and a storage medium, and belongs to the technical field of ocean facilities. The method comprises the following steps: acquiring motion data of an offshore platform; determining an equivalent oscillatory flow of the offshore platform based on the motion data; according to the equivalent oscillatory flow, vortex-induced vibration response of the deep-sea steel catenary riser is determined based on fluid-structure interaction effect analysis; according to the vortex-induced vibration response, the equivalent stress time history of the deep-sea steel catenary riser is obtained through calculation, and therefore a vortex-induced fatigue analysis result is determined. According to the invention, the platform motion can induce the riser to generate vortex-induced vibration, the equivalent mode is established to convert the platform motion into the oscillatory flow, and the fluid-solid coupling effect between the riser and the flow field is considered, so that the calculation is easy to realize and the precision is high; the perfection degree and reliability of the vortex-induced fatigue analysis result of the deep-sea steel catenary riser can be improved, and the fatigue damage degree of the deep-sea steel catenary riser can be accurately mastered.

The invention belongs to the technical field of control, and discloses a water surface robot high-precision trajectory tracking control method and related equipment, and the method comprises the steps: constructing a dynamic multi-modal environment map containing water surface three-dimensional geometric topology information and water flow field vector information; according to the dynamic multi-modal environment map, an improved quantum particle swarm optimization algorithm embedded into a water flow kinetic equation constraint is adopted to carry out global path planning, smooth parameterization processing is carried out on a global path obtained through planning, and a reference trajectory is generated; according to the vector information of the water flow field, flow field disturbance is predicted based on a fluid-structure interaction dynamics model, system residual disturbance is estimated by using an extended state observer, and feedforward control quantity is generated in combination; according to the real-time flow velocity of the water flow field and the trajectory tracking error, a nonlinear model prediction controller and an adaptive sliding mode controller are adaptively switched, and a control instruction is generated in combination with a feedforward control quantity to drive the water surface robot to track a reference trajectory; therefore, high-precision trajectory tracking control is realized.

In the system, an electromagnetic simulation module establishes a three-dimensional electromagnetic field model of the transformer based on a finite element method, and calculates magnetic field distribution, winding eddy current loss and iron core hysteresis loss to obtain loss data; the fluid-solid coupling calculation module is connected with the electromagnetic simulation module so as to simulate a transformer oil flowing and heat conduction process based on computational fluid dynamics; the optimization design module is connected with the fluid-solid coupling calculation module so as to perform parametric modeling and optimization on the winding structure, the cooling channel and the cooling fin layout through the hot spot position and temperature distribution based on a multi-target genetic algorithm and an agent model; the state evaluation and heat dissipation adjustment module is connected with the data interaction layer so as to analyze the health state of the transformer based on sensor data and simulation results, predict the hot-spot temperature trend and dynamically adjust operation parameters of the cooling system through a self-adaptive heat dissipation adjustment algorithm.

The invention provides a stratified reservoir fracturing crack propagation simulation method, which comprises the following steps of: firstly, performing discrete processing on a model corresponding to a stratified reservoir according to a preset polyhedral block to obtain at least one discrete matrix unit, and secondly, determining at least one attribute model corresponding to the at least one discrete matrix unit, according to the at least one attribute model, fluid-solid coupling solution is carried out on the at least one discrete matrix unit, fracture information between adjacent discrete matrix units, fluid pressure distribution between the adjacent discrete matrix units and stress states of the adjacent discrete matrix units are determined, and then the strata characterization parameters of the reservoir stratum are combined to determine the strata characterization parameters of the reservoir stratum. And crack fracture information of stratified reservoir fracturing is determined. According to the technical scheme, on the basis of the stratified reservoir fracturing fracture form and the influence mechanism thereof, the fracture information of stratified reservoir fracturing is determined, and a basis is provided for improving stratified reservoir transformation benefits.

The invention provides a fluid-structure interaction wave field simulation method based on a distance weighted momentum exchange strategy, and belongs to the crossing field of geophysical exploration and computational acoustics. According to the method, a distance weighting strategy is introduced into an LSM-LBM coupling algorithm, and a dynamic adaptive multi-node momentum exchange mechanism is established, so that the simulation capability of the algorithm on a complex geological structure is remarkably improved, and a new solution is provided for high-precision wave field simulation in geophysical exploration of oil and gas. Comprising the following steps: step 1), constructing a geologic model and setting physical property parameters; 2) establishing discrete forms of a solid medium lattice spring model and a fluid medium lattice Boltzmann model; step 3), designing a fluid-solid boundary momentum exchange strategy based on a distance weighting thought; step 4), carrying out iterative calculation and parameter updating on the coupled wave field; and step 5), verification and application.

In the system, an electromagnetic simulation module establishes a transformer three-dimensional electromagnetic field model based on a finite element method, and calculates magnetic field distribution, winding eddy current loss and iron core hysteresis loss to obtain loss data; the fluid-solid coupling calculation module is connected with the electromagnetic simulation module so as to simulate a transformer oil flowing and heat conduction process based on computational fluid dynamics; the optimization design module is connected with the fluid-solid coupling calculation module so as to perform parametric modeling and optimization on the winding structure, the cooling channel and the cooling fin layout through the hot spot position and temperature distribution based on a multi-target genetic algorithm and an agent model; the state evaluation and heat dissipation adjustment module is connected with the data interaction layer so as to analyze the health state of the transformer based on sensor data and simulation results, predict the hot-spot temperature trend and dynamically adjust operation parameters of the cooling system through a self-adaptive heat dissipation adjustment algorithm.

The invention belongs to the technical field of vibration and noise of structures, and discloses a rapid calculation method and system for calculating vibration noise of an acoustic excitation cabin by combining multiple software. According to the method, sound cavity wall surface pressure data of each frequency under internal sound excitation are obtained through Comsol, and the data are processed into cabin structure wall surface node pressure data under each frequency. And an Abaqus fluid-solid coupling model is established, the wall surface of the shell is coupled with an external water area, proposed node pressure data is applied to the wall surface of the cabin structure as a pressure load, and the vibration response of the cabin structure at each frequency is analyzed and calculated through steady-state dynamics. And importing the obtained vibration response data into Virtual Lab software, mapping a displacement response result to a water acoustic grid, and calculating a vibration noise result of the underwater cabin structure through a boundary element module.

The invention relates to the technical field of vibration suppression, and discloses a multi-physics field cooperative control intelligent vibration suppression method and system, and the method comprises the following steps: S1, building a multi-physics field digital twinborn model based on a finite element analysis method, the multi-physical field at least comprises a coupling relationship among a pneumatic field, an electromagnetic field and a structural field, and the modeling of the fluid-structure interaction effect is included; and S2, based on the digital twin model, an improved particle swarm optimization algorithm is adopted to generate a control weight distribution scheme, and the control weight distribution scheme is used for dynamically adjusting the output proportion of a pneumatic actuator and an electromagnetic actuator. According to the method, the multi-physical field digital twinborn model containing the coupling relation of the pneumatic field, the electromagnetic field and the structural field and taking into account the fluid-solid coupling effect is established, so that the problem that the control precision is limited due to the fact that a single physical field control strategy is mostly adopted in a traditional vibration suppression method is solved.

The invention discloses an additive manufacturing spatter behavior monitoring and drop point prediction method based on high-speed vision and fluid-solid coupling simulation, and belongs to the field of metal additive manufacturing monitoring. The method comprises the following steps: acquiring an image sequence of a selective laser melting process through a high-speed camera, carrying out image preprocessing, precisely segmenting splashing particles by adopting a combined morphological algorithm comprising Canny edge detection, expansion and corrosion operation, and acquiring the particle size, the initial velocity and the spraying angle of the splashing particles through multi-frame tracking; the initial velocity and the spraying angle are calculated by combining a displacement vector of the same particle in adjacent frames with a frame interval and a pixel calibration coefficient; afterwards, the parameters serve as initial conditions and are input into a particle dynamics model considering the influence of a protective airflow field and nonlinear air resistance based on a Schiller-Naumann model, a flight path is deduced through numerical integration, and a drop point of the flight path on a substrate is predicted; and finally, risk grade judgment is performed according to drop point distribution, and guidance is provided for process parameter optimization.