246 results about "Fluid–structure interaction" patented technology

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.

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.

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 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 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 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.

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 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.

The invention discloses a loess slope top power transmission tower instability prediction method based on the landform effect, and belongs to the technical field of power transmission tower stability prediction.The loess slope top power transmission tower instability prediction method comprises the following steps that landform parameter data and landform parameter data of a loess slope around a power transmission tower foundation are obtained, and correction preprocessing of the parameter data is carried out; discrete element software is adopted to establish geometric models of the loess slope, wherein the geometric models comprise three-dimensional structure models of the earth surface, the loess layer and the tower footing; introducing a fluid-solid coupling algorithm, carrying out finite element numerical analysis on the geometric model, and simulating a deformation failure process of the loess slope and an interaction relationship of power transmission tower foundation stress through dynamic simulation and time coupling; and calculating stress field distribution of the power transmission tower foundation through finite element numerical analysis, and verifying and optimizing the model in combination with field monitoring data. According to the method, the limitation of the prior art in the aspect of loess slope power transmission tower instability prediction is overcome, the accuracy, real-time performance and comprehensiveness of prediction are realized, and the disaster loss is reduced.

The invention relates to the technical field of petroleum and natural gas drilling engineering, and discloses a deep well geological exploration tunneling parameter control system and method, and the system comprises a signal collection and synchronization module which collects drilling parameters and aligns timestamps; the initialization and modeling module is used for calculating fluid transmission time lag and blade skim-over frequency; the active disturbance generation module generates a target bit pressure instruction superposed with sine disturbance to drive load application; the two-channel feature extraction and verification module aligns the historical torque and the current pressure according to time delay and calculates the confidence coefficient in combination with the frequency; the adaptive decision and closed-loop control module uses the confidence coefficient to correct the gain and update the reference bit pressure to form a closed loop. A dual-channel verification framework based on fluid-structure interaction transmission time lag and blade characteristic frequency is constructed, the covering effect of long-distance drill column friction torque on real cutting torque in deep well operation is effectively stripped, and it is ensured that a control system only responds to effective rock breaking action.

The embodiment of the invention provides a finite element-based single-working-condition internal force calculation method and a finite element-based single-working-condition internal force calculation system. The method is applied to the technical field of multi-physics field coupling simulation and finite element analysis and comprises the steps that after a single working condition is received, a preset finite element model is input for structural-thermal coupling numerical solution, and strain, temperature and material evolution state data are obtained. And calculating the inherent force of the structure according to the strain-displacement matrix and the heat conduction coefficient. And fluid-structure interaction solution is carried out to obtain a pressure field, a velocity field and frequency response data, and the fluid acting force is calculated. Structural dynamics solution is carried out, acceleration, speed and deformation data are obtained, structural dynamic additional force is calculated, and finally total internal force is obtained. According to the scheme, the stress state of the structure can be comprehensively predicted and accurately evaluated, the accuracy of structure safety analysis is improved, the test cost is saved, and the design optimization and intelligent decision-making capability is improved.

This invention discloses a numerical characterization method for gas explosion damage based on in vivo biological damage correction, belonging to the interdisciplinary field of explosion mechanics and biomedicine. The method first acquires multi-dimensional damage data of organisms in gas explosion experiments, constructs a fluid-structure interaction numerical model of the gas explosion flow field in the tunnel and a biomimetic finite element model of the organism, solves the model using an improved arbitrary Lagrange-Euler algorithm, and extracts dynamic biomechanical response parameters. A quantitative correlation between mechanical response and damage level is established through a multi-objective collaborative correction model and an ordered Probit correction model. After iterative optimization, a high-confidence gas explosion-induced biological damage prediction model is output. This invention forms a complete closed loop of simulation-experiment-correction, which can accurately characterize gas explosion biological damage, providing technical support for research on explosion injury mechanisms, assessment of protective effectiveness, and clinical diagnosis and treatment.

The invention discloses an ocean structure design method based on bidirectional fluid-solid coupling. The ocean structure design method comprises the steps that S1, sea conditions are determined based on a sea area where an ocean structure is located; s2, establishing a fluid domain calculation fluid dynamic model and a structural domain finite element model of the ocean structure; s3, on the basis of the established fluid domain calculation fluid dynamic model and structural domain finite element model of the ocean structure, executing iterative bidirectional fluid-solid coupling simulation calculation for each sea condition to obtain a simulation result; s4, analyzing the simulation result, and identifying the maximum value and the spatial position of the key load parameter on the ocean structure; and S5, modifying and optimizing the design of the ocean structure based on the maximum value and the spatial position of the key load parameter to obtain the ocean structure meeting the requirements. According to the method, the structural performance of the ocean platform can be systematically evaluated with high precision, so that a designer is guided to carry out more scientific and reasonable design modification and optimization.

The application provides a multi-scale fluid-structure coupling coarse-grained simulation method, which is applied to CFD-DEM numerical calculation of a particle-fluid system. The coarse-grained simulation method not only equivalently regards fine particles in the particle-fluid system as coarse particle agglomerates, reduces the number of calculated particles and improves the calculation efficiency, but also provides quantitative coupling relations among fine particles, coarse particle agglomerates and fluid grids of three scales in order to characterize the non-uniform distribution characteristics of the internal particles of the coarse particle agglomerates and the flow field, and adopts a kernel function to establish mapping relations and momentum exchange models of physical quantities such as mass, velocity and force between the coarse particle agglomerates and the fine particles, and between the coarse particles and the fluid grids. Therefore, the coarse-grained simulation method provided by the application not only improves the calculation efficiency, but also guarantees the numerical calculation accuracy of CFD-DEM in the particle-fluid system.

The invention provides a separation nut unlocking process simulation analysis method based on explosion impact fluid-solid coupling, and the method comprises the steps: building a separation nut model which comprises a plurality of accessory structures; performing grid division on the separation nut model; setting the attribute of each accessory structure in the separation nut model and the relationship between the accessory structures; setting constraint conditions, boundary conditions, reaction duration and reaction step length of the separation nut model during reaction; and performing simulation analysis on the separation nut model to obtain a simulation result. According to the scheme provided by the invention, the fluid-solid coupling calculation stability breakthrough is realized, the calculation result interruption caused by the fluid leakage problem, the structural large deformation failure and the negative volume of the traditional ALE algorithm is solved by optimizing the fluid-solid coupling parameter combination, and the accuracy and the stability of the separation nut separation and unlocking process simulation are greatly improved.

The invention discloses an aerostatic bearing rotation error modeling method based on bidirectional fluid-solid coupling, belongs to the technical field of ultra-precision mechanical design and performance simulation, and aims to solve the problems of insufficient model applicability and low calculation efficiency in the existing aerostatic spindle analysis technology. The method comprises the following steps: establishing a five-degree-of-freedom mechanical model of the gas static pressure main shaft; constructing a thrust gas film initial model and a neck gas film initial model containing comprehensive manufacturing errors, and recording unbalanced torque; calculating the total unbalanced torque of the system, carrying out iterative circulation until the total torque, the axial force and the radial force of the system reach convergence conditions, traversing all angle positions of the main shaft rotating 360 degrees for a circle, integrating main shaft balance attitude coordinates obtained by calculation under all angles, generating a mass center trajectory diagram and an axis space inclination trajectory diagram of the main shaft, and calculating the balance attitude of the main shaft. And an accurate rotation error model is obtained.

The application discloses a kind of based on orthogonal test optimization coriolis flowmeter and its structural design method.The optimization design solves the deficiency of many structure optimization experiment numbers and low optimization efficiency caused by the optimal selection of the structure of measuring tube under the condition of limited installation space.The design method comprises the following steps: 1) determining the total length of measuring tube;2) selecting the optimization variable of measuring tube;3) establishing the orthogonal test combination with interaction;4) screening the established orthogonal test combination with interaction, merging repeated test groups and calculating the actual size of each optimization variable;5) constructing fluid-structure coupling numerical model based on orthogonal test group, solving the flow coefficient of each test group;6) analyzing the results of orthogonal test, obtaining the optimal measuring tube type.The optimization design structure of the coriolis flowmeter disclosed in the application enables the measuring tube to have a larger flow coefficient under the condition of fixed length, improves the measurement accuracy and sensitivity of the coriolis flowmeter, and provides an efficient and convenient optimization design process for the structure optimization of the measuring tube of the coriolis flowmeter.

This invention discloses a random field probability prediction method for long-term settlement of shield tunnels in heterogeneous strata, belonging to the field of underground engineering structural health monitoring and risk assessment. The method first inverts the micromechanical parameters of the strata through shield tunneling parameters, then constructs a three-dimensional anisotropic random field model, generates random field samples through K-L series expansion, and calculates the settlement field using a three-dimensional fluid-structure interaction finite element model and Monte Carlo simulation. Statistical analysis is used to predict the settlement probability, and finally, the probability of settlement exceeding limits is calculated based on reliability theory to complete the risk assessment. This invention breaks through the homogenization assumption, quantifies settlement risk, adapts to complex heterogeneous strata, provides a scientific decision-making basis for the whole life cycle management of tunnels, and has strong engineering applicability.

The invention discloses an ancient masonry bridge floater impact analysis method based on fluid-solid coupling, which comprises the following steps of: firstly, creating and correcting a finite element model of a bridge structure by combining three-dimensional scanning and field vibration test; secondly, according to the water flow monitoring data, a matched fluid domain model is created, and the motion characteristics and boundary conditions of fluid are determined; then, a bidirectional information exchange mechanism between the structure and the fluid is established, and bidirectional transmission of key parameters such as load and displacement under the fluid-solid coupling effect is achieved; and finally, setting the size and material parameters of the floating object, executing the whole process simulation of the floating object impacting the ancient masonry bridge, obtaining the core data of the bridge structure, and completing the impact influence analysis. The evaluation method has the advantages of being complete in process, accurate in modeling and rich in result, the influence of floating object impact on the ancient masonry bridge can be effectively quantified, the blank of floating object impact analysis of the ancient masonry bridge is filled up, and a scientific basis is provided for preventive protection of bridge heritage.

The invention provides a fluid-structure interaction multi-physics field prediction method for an offshore wind plant. According to the method, any Lagrangian-Euler mapping is introduced, a computational domain containing a structure and fluid is expressed as a deformation computational grid dynamically evolved along with structural vibration or free interface change, time sequence prediction is conducted on a grid displacement field through a first generator, and then the computational grid is updated; efficient prediction of fluid field or multi-physical field state variables is achieved through a second generator; moreover, a discrimination model is introduced in a prediction model training stage, and combined constraint is carried out on statistical consistency and physical rationality of a prediction result in combination with a physical constraint loss function. According to the decoupling prediction method, the moving boundary calculation precision is improved by adding physical constraints, so that the prediction precision is improved, powerful technical support can be provided for key links of offshore wind power engineering, and the decoupling prediction method can be applied to optimization of structural design, fine evaluation of the operation state and prospective prediction and early warning of extreme environment working conditions.

This invention provides a method and system for predicting the combined wear and fatigue failure of turbine runner blades, relating to the field of hydropower equipment operation and maintenance technology. The method includes: establishing a fluid computational domain model and mesh generation; constructing a flow field based on single-phase flow characteristics; constructing a two-phase flow system using a discrete phase model; constructing a material wear model based on the characteristics of suspended matter passing through the machine; obtaining a geometrically varying wear prediction model and calculating the model; calculating the fluid-structure interaction strength characteristics of the initial structural field, and based on the calculation results, calculating the fatigue characteristics of the initial structural field; reconstructing the flow channel geometrically varying model based on fatigue characteristic data, and calculating the flow and fatigue characteristics during the reconstruction process; and evaluating the fatigue failure prediction of the runner under the influence of wear. This invention utilizes dynamic mesh smoothing technology to achieve real-time reconstruction of the geometric model and iterative coupling of the flow field and structural field during the wear process, improving the accuracy and scientific rigor of failure prediction.

The application provides a method for calculating fluid-structure coupling of a water-entry vehicle based on motion decoupling, which comprises the following steps: obtaining water-entry parameters of the vehicle; decoupling the motion of the vehicle when entering water into vertical falling of the vehicle and horizontal flow of the flow field, and determining the vertical falling speed of the vehicle and the horizontal flow speed of the flow field according to the water-entry parameters; determining the envelope size of a whole cuboid water area, the partition parameters of the whole cuboid water area and the envelope size of a water-contacting encryption area according to the water-entry parameters, the water-contacting encryption area being contained in the whole cuboid water area; establishing a water area finite element model according to the envelope size of the whole cuboid water area and the envelope size of the water-contacting encryption area; and performing fluid-structure coupling calculation based on the water area finite element model according to the vertical falling speed of the vehicle and the horizontal flow speed of the flow field. The technical scheme of the application is used to solve the technical problem that the analysis precision and the calculation efficiency of fluid-structure coupling are contradictory in the prior art.

This invention belongs to the field of structural vibration analysis technology and discloses an energy-averaged finite element method and system for structural random vibration analysis, including: S1, using fluid simulation software Fluent and StarCCM to perform fluid dynamics simulation to obtain the long-term turbulent pulsating pressure distribution of the structural wall in the time domain; S2, dividing the pulsating pressure obtained in S1 into segments with some overlap between segments, and performing Fourier transforms on each segment to obtain multiple sets of wall turbulent pulsating pressures in the frequency domain; S3, establishing a fluid-structure interaction dynamic model of the structure and fluid domain, applying the wall turbulent pulsating pressure loads obtained in S2 in the frequency domain, and performing steady-state dynamic harmonic response analysis on each segment; S4, based on the vibration response results of the multiple sets of harmonic response analyses in S3, taking the energy average of these results to obtain the result of random vibration analysis.

This invention relates to the field of fault prediction technology for prefabricated substations, specifically to a multi-source data fusion fault prediction method for prefabricated substations. By simultaneously collecting the pressure difference between the inside and outside of the prefabricated substation, the micro-strain at the root of the outer shell, and the DC leakage current of the cable shielding layer, and utilizing a reduced-order thermal-fluid-structure interaction model and strain-displacement transfer relationship, the external measurable signals are inverted in real time into the micro-displacement of the cable terminal stress cone interface and the equivalent mechanical damage of a single breathing cycle. The sealing state is identified online using the attenuation tail wave of the disturbed air pressure, and the damage value is adaptively compensated. The compensated damage is accumulated over a long period and compared with the fatigue threshold, while simultaneously verifying the degree of mechanical-electrical modulation. Finally, a graded fault prediction is performed, and a maintenance work order is output. This method achieves non-intrusive early warning of micro-fatigue faults at the cable terminals of prefabricated substations, helping to solve the problems of traditional monitoring methods being unable to detect interface mechanical damage and long-term seal drift leading to inaccurate predictions.

The invention provides a prediction method for an impact environment of an underwater distributed vehicle. The prediction method comprises the following steps: determining an underwater explosion impact load acting on the underwater distributed vehicle; based on the underwater explosion impact load, determining a fluid-solid coupling relationship between the underwater distributed vehicle and an external flow field; according to the determined fluid-solid coupling relationship, calculating the finite element model of the underwater distributed vehicle based on an acoustic-solid coupling method of finite element analysis software to obtain rigid body acceleration response of the to-be-measured point; and calculating the relative acceleration response of the to-be-measured point based on the obtained rigid body acceleration response of the to-be-measured point, and deriving an impact spectrum according to the relative acceleration response of the to-be-measured point so as to obtain the impact environment of the to-be-measured point. According to the prediction method provided by the invention, the problems of long actual ship test period and high cost in the prior art are solved, the corrected spectrum displacement is obtained by eliminating the rigid body displacement, and the obtained impact spectrum is high in prediction efficiency and high in precision.

This invention relates to the field of computer-aided design technology, and more particularly to a method and system for constructing wind dams for concentrated wind energy capture. The method includes the following steps: acquiring multi-source wind field data; processing the multi-source wind field data to obtain wind field structure data; generating a guiding structure from the wind field structure data to obtain wind dam geometric structure data; performing fluid-structure interaction (FSI) simulation based on the wind field structure data and the wind dam geometric structure data to obtain FSI data; and performing multi-constraint dynamic optimization on the FSI data to obtain construction control strategy data. This invention achieves proactive guidance and efficient matching of the wind dam structure to airflow convergence behavior, improving the efficiency of concentrated wind energy capture and the reliability of structural design. By using a surrogate model and multi-constraint dynamic optimization, the highly complex simulation process is transformed into a rapidly reasoning-based decision-making process, effectively reducing computational costs.