307 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 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 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 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 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 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 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.

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 a structural design method and device for an aerodynamic surface of an aircraft wing, electronic equipment and a computer readable medium. The method comprises the following steps: determining a design interval according to flight parameters of an aircraft and aircraft wing design parameters; determining sample points in the design interval through a Latin super method; establishing a fluid-solid coupling model of the aircraft wing; performing dynamic simulation at the sample points based on the fluid-solid coupling model to generate deformation parameters and aerodynamic loads of the aircraft wing; establishing a neural network agent model through the flight parameters, the deformation parameters and the aerodynamic load; and designing the aerodynamic surface structure of the aircraft wing based on the neural network agent model. According to the method, under the condition that the aerodynamic surface structure of the aircraft wing does not need to be subjected to experience checking and correction, aerodynamic surface structure design considering aeroelastic load redistribution is achieved, and the design and development efficiency is obviously improved.

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 invention belongs to the technical field of flexible fiber washing and conveying analog simulation, and relates to a flexible fiber fluid-solid coupling method, which comprises the following steps of: firstly, respectively constructing a fluid model containing flexible fibers and a flexible fiber model; constructing a bidirectional fluid-solid coupling system based on the flexible fiber model and the fluid model; then carrying out analogue simulation and physical experiment on the motion evolution form of the single flexible fiber in the flow field by utilizing a bidirectional fluid-solid coupling system, and proposing evaluation indexes of the flexibility of the flow field of the flexible fiber and the vibration amplitude of the flow field of the flexible fiber; and finally, correcting the flexible fiber fluid-solid coupling model through evaluation indexes, and further exploring bending, winding, entanglement clustering and opening conditions of the flexible fibers. According to the flexible fiber fluid-solid coupling method, simulation of motion evolution behaviors of the flexible fibers in a flow field can be effectively achieved, and good expansibility and adaptability are achieved.

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.

The invention relates to the field of constructional engineering, and discloses a soft soil non-equal-height foundation pit structure based on fluid-structure interaction and a construction method.The soft soil non-equal-height foundation pit structure comprises a foundation pit, a supporting module, a reinforcing module, a drainage module and a monitoring point, and the foundation pit is divided into a low elevation side and a high elevation side; the supporting module comprises supporting piles and an inner supporting system, and the supporting piles are arranged along the periphery of a foundation pit and used for bearing lateral pressure of a soil body. The inner supporting system comprises an angle brace and a cross-shaped pair support, the angle brace is arranged at the vertex angle of the foundation pit, and the cross-shaped pair support is arranged at the center of the foundation pit. According to the method, the novel excavation construction method is adopted in the soft soil non-equal-height foundation pit, the optimal scheme is selected through fluid-solid coupling model analysis, soil pressure and deformation displacement borne by foundation pit supporting piles and supports are reduced as much as possible in the excavation process, and rapid, effective and low-cost foundation pit supporting construction is achieved; the complex situation in the soft soil foundation excavation and supporting process is avoided, and the serious construction problem caused by untimely emergency treatment is avoided.

The present invention provides a high-speed photocuring 3D printing simulation method based on fluid-structure interaction, which comprises the following steps: S1: Establish a model of the photocuring 3D printing process, and the model includes: photocuring reaction, mass transfer process of reactants, light intensity distribution, phase distribution, resin flow and phase change process, and elastic deformation of the resin tank bottom; S2: Construct a geometric model of the resin tank, and determine the initial conditions and boundary conditions of the geometric model; S3: Perform mesh division on the geometric model of the resin tank; S4: Determine the simulation parameters during the simulation process; S5: Select different strategies according to the printing mode for numerical solution. The above numerical simulation method for photocuring 3D printing can use the same set of models to simulate and analyze the two printing modes of continuous printing and layer-by-layer printing, and can be used to deeply analyze the photocuring forming mechanism under the coupling action of multiple physical fields, improve the process through virtual printing, optimize process parameters, and thus improve the printing speed and the forming quality of parts.

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.