195 results about "Fluid–structure interaction" patented technology

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 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 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 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.

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 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 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.

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.

This invention provides a computational method, system, and computer equipment for fluid-structure interaction heat transfer. Addressing the problem of extremely slow convergence in the later stages of long-tail iterations in existing weakly coupled algorithms, this invention proposes a two-stage decoupling acceleration strategy. The first stage employs a fluid-solid weakly coupled algorithm with an early truncation mechanism: when the global temperature rise has not yet converged, but the convective heat transfer coefficient at the interface reaches a stable convergence state first, the bidirectional fluid-solid iteration is stopped, and the current convective heat transfer coefficient is extracted. The second stage applies this convective heat transfer coefficient as a separate thermal boundary condition to the solid computational domain, stopping the flow field equation calculation and rapidly solving the solid's heat conduction equation in a unidirectional decoupled state until a complete steady state is reached. This invention cleverly utilizes the spatiotemporal differences in the convergence speed of characteristic physical quantities, eliminating redundant iterations without sacrificing engineering accuracy and significantly improving the solution efficiency of heat transfer simulation.

A multi-objective optimization method adaptive to a U-shaped channel rib plate perforation matrix cooling structure comprises the steps that firstly, a parameterized finite element model of the U-shaped channel rib plate perforation matrix cooling structure of an inner cooling channel of a turbine blade is established, and heat exchange and flow resistance analysis of the matrix cooling structure are achieved in a fluid-solid coupling mode; performing a DOE experiment by using Latin hypercube sampling, generating a parameter set, importing the parameter set into a parameterized matrix cooling structure finite element model, and performing numerical simulation by combining a Reynolds average Navier-Stokes equation to obtain a data set of a training agent model; in a reliable precision range, a response surface agent model about structural heat exchange and flow resistance is established; performing multi-objective optimization on a data set derived by the proxy model through a non-dominated sorting genetic algorithm-II, and finding a matrix cooling optimal structure in a Pareto frontier solution set in combination with optimization of an ideal solution similarity sorting method; according to the method, the performance of the matrix cooling structure can be improved, and the calculation time and cost of parameterized multi-objective optimization of the matrix cooling structure are greatly reduced.

This invention relates to the field of computer data processing technology, specifically to a digital twin fault early warning method for the hydraulic end of a drilling pump. The method involves collecting inlet pressure, outlet pulsating pressure, and shell surface vibration signals from the hydraulic end; inputting these signals along with fluid-structure interaction partial differential equations into a physical information neural network; the network loss function is composed of data residuals, fluid continuity equation residuals, and solid elastic deformation equation residuals; correcting network weights through gradient backpropagation to output the internal flow field pressure distribution and valve box stress field distribution; mapping these distributions to a digital twin to calculate fatigue cumulative damage and sealing gap changes; and triggering an early warning when a threshold is exceeded. This invention utilizes physical laws to constrain data mapping, overcoming model distortion under varying operating conditions and offline simulation delays, achieving real-time high-fidelity reconstruction of the internal state, and improving the reliability of the early warning.

The invention relates to the technical field of high-speed micro pumps, and discloses a high-speed micro centrifugal pump impeller profile pre-compensation method based on fluid-solid coupling analysis, which comprises the following steps: constructing an impeller parameterized geometric model and extracting design variables; an optimized Latin hypercube sampling strategy is adopted to construct a fluid-solid coupling sample library, and an intrinsic orthogonal decomposition technology is combined with Gaussian process regression to establish a high-precision full-field deformation prediction model; establishing a multi-objective optimization function based on a full-field deformation prediction model, and performing optimization by using a non-dominated sorting genetic algorithm to obtain a target thermal state geometry considering both hydraulic performance and structural safety; and finally, carrying out reverse iteration solution on the target thermal-state geometry by utilizing a geometry-load mixed correction algorithm to obtain the cold-state manufacturing geometry in a static state. According to the method, the calculation cost is remarkably reduced through the agent model, the adverse effect of fluid-structure interaction deformation on the impeller performance is eliminated from the manufacturing end through the reverse pre-compensation strategy, and the actual operation efficiency and lift stability of the high-speed micro centrifugal pump are effectively improved.

This invention relates to the field of collaborative well testing technology for coal reservoirs, specifically disclosing a constant flow rate-limited pressure collaborative control method and system for coal reservoir well testing. The method includes: collecting cluster-single-well dual-dimensional parameters; constructing a regional reservoir pressure field coupling model based on the dual-dimensional parameters, wherein the regional reservoir pressure field coupling model embeds fluid-structure interaction equations and a pulverized coal critical velocity model; configuring a cluster-single-well dual-level priority dynamic allocation rule based on the dual-dimensional parameters; and configuring a cluster-level multi-objective optimization algorithm with single-well flow deviation, single-well pressure, regional pressure field uniformity, and cluster pulverized coal blockage risk as constraint indicators. This invention successfully resolves the contradiction between rapid pressure relief and prevention of pulverized coal explosions, minimizing reservoir damage and wellbore blockage risks while ensuring well control safety, and significantly improving the success rate and data quality of coalbed methane well cluster testing operations.

This invention discloses a method for determining the performance of an engine cooling fan based on fluid-structure interaction (FSI). The method includes the following steps: establishing a three-dimensional geometric model based on the cooling fan structure; establishing a finite element model of the fan and a finite element model of the external flow field; importing the finite element model of the fan into finite element software, assigning material properties, and setting boundary conditions; importing the finite element model of the external flow field into computational fluid dynamics (CFD) software, setting a turbulence model and boundary conditions; setting the coupling surface as the blade surface, matching the mesh nodes on the coupling surface using a neighborhood search algorithm, and transferring physical quantities between the two coupled systems using interpolation methods; and performing post-processing analysis on the calculation results of the fan structure and flow field in their respective software. This calculation method overcomes, to a certain extent, the inaccuracies of individual finite element models and computational fluid dynamics models caused by deficiencies in modeling methods, establishing an accurate FSI simulation model for calculating the cooling fan performance, while ensuring both calculation accuracy and efficiency.

The invention provides a numerical simulation method for fluid-structure interaction vibration of wind tunnel airflow and a tunnel wall structure, and belongs to the technical field of wind tunnels. Geometric parameters of a wind tunnel section are obtained, a multi-layer grid sequence is established, an implicit Runge-Kutta format and an explicit Newmak method are adopted to solve a flow field and a structure field respectively, and the wind tunnel airflow and tunnel wall structure fluid-structure interaction vibration is obtained. Mesh deformation is realized by using tightly-supported radial basis function interpolation, a volume conservation constraint is introduced, an interface projection matrix is constructed based on a virtual work equivalence principle to transmit interface data, a force balance and displacement coordination constraint is introduced, and coupling iteration convergence is accelerated through an inverse Broyden formula. A density gradient shock wave sensor is adopted to drive grid adaptive encryption and a mixed indicator function to control turbulence model switching, and the technical problems that wind tunnel section airflow and wall surface structure fluid-structure interaction vibration numerical simulation calculation is low in efficiency and insufficient in precision are solved.

The application discloses a finite element method-based gas-liquid two-phase modeling and breathing behavior processing method for a storage tank, and relates to the technical field of storage tank monitoring. A geometric model of the storage tank is established to obtain a fluid model inside the storage tank; a gas-liquid two-phase model of the storage tank is obtained, the geometric model is meshed, the actual state of the storage tank is simulated, and state data of a breathing accessory are obtained; a fluid-structure coupling model of the breathing accessory is established, the opening behavior of the breathing accessory is calculated, and the fluid-structure coupling model is verified; and the opening behavior of the breathing accessory is predicted according to the rated opening pressure of the breathing accessory and the pressure change of the gas space of the storage tank. The gas-liquid two-phase and fluid-structure coupling models are established, the gas-liquid two-phase flow in the storage tank can be accurately simulated, the behavior of a breathing system composed of a breathing valve, a pressure relief manhole and other structures can be dynamically predicted, real-time data are used to adaptively correct model parameters, the prediction accuracy is improved, and the safe operation of the storage tank is ensured.

The invention relates to an underground reservoir coal pillar protective layer fracture water inrush large deformation prediction method and system. The method comprises the steps that a particle model containing a coal pillar protective layer, reservoir water flow and a support boundary is generated based on preset particle precision; based on a particle model, a response process of a coal pillar protection layer under a water storage-excavation coupling working condition is simulated through a meshless particle method, and the method comprises the following steps: dynamically updating particle distribution of an excavation area by adopting a particle inactivation algorithm, and simulating a thickness change of the coal pillar protection layer; based on a fluid-structure interaction contact algorithm, calculating the interaction force between the reservoir water flow and the coal pillar protection layer; the number of damaged particles is counted in real time according to the stress state of the coal pillar protective layer particles, and the crack expansion, penetration and fracture processes are identified; and generating a critical protective layer thickness, water inrush outburst time and a fracture influence range based on the damage evolution data, and outputting visual data. Through model construction, dynamic simulation, damage identification and parameter prediction, the technical bottleneck of a traditional grid method in large deformation simulation can be broken through.

The application is a landslide movement analysis method based on unmanned aerial vehicle remote sensing aerial survey and three-dimensional geological modeling, high-resolution topographic data of a landslide hidden danger area is obtained by using a laser scanner technology carried by an unmanned aerial vehicle, a finite element Geostudio software is used to calculate a landslide instability damage range and a stability coefficient under different scenarios, the stability coefficient is used as a reduction coefficient of a rock-soil body strength parameter, then rock-soil body strength parameters under different scenarios are determined in discrete element PFC software, and a discrete element is used to realize three-dimensional damage movement process analysis of a landslide under different scenarios. The application can compare a landslide scale under different rainfall and earthquake scenarios and movement characteristics after instability of different scale landslides by using PFC software, can effectively simulate large deformation under fluid-structure coupling conditions, determine rock-soil body strength parameters under different rainfall (or earthquake) scenarios, and carry out three-dimensional movement process of a landslide under different scenarios for a landslide hidden danger point.

The invention discloses a three-dimensional acoustic elasticity calculation method based on combined potential, and relates to the field of ship three-dimensional acoustic elasticity calculation, and the method comprises the steps: constructing a speed potential in an outer watershed of an underwater ship structure into a linear combination form of a single-layer potential and a double-layer potential, and constructing a boundary integral equation on a wet surface of the underwater ship structure; according to fluid-solid coupling boundary conditions on the wet surface of the underwater ship structure, a boundary integral equation on the wet surface of the underwater ship structure is solved by adopting a boundary element method, and virtual source intensity distribution on the wet surface of the underwater ship structure is obtained; according to the virtual source intensity distribution of the wet surface of the underwater ship structure and the dry modal displacement of the structure, acoustic elasticity response parameters are obtained through calculation. By constructing the watershed speed potential outside the underwater ship structure in a linear combination form of single-layer potential and double-layer potential, the irregular frequency of acoustic elasticity calculation is effectively eliminated under the condition that the calculation scale and modeling workload are not additionally increased, and the efficiency of three-dimensional acoustic elasticity analysis can be remarkably improved.

The invention discloses a pumped storage power station pressure steel pipe stress monitoring and sensor arrangement method, and relates to the technical field of pumped storage power station structure safety monitoring, and the method comprises the steps: building a pressure steel pipe and unit flow channel three-dimensional simulation model based on operation condition parameters, and obtaining a full-condition stress field through fluid-solid coupling analysis; extracting extreme stress, space coordinates and a principal stress direction on the special section, and constructing a special position database containing an extreme point track; three groups of resistance strain sensors are uniformly arranged in the circumferential direction of the section according to a database result, and three pieces in each group form a strain rosette and are directionally arranged according to a principal stress direction to realize matching of a monitoring direction and a stress principal axis; and comparing a real-time monitoring result with a database range, triggering calibration and early warning when the real-time monitoring result exceeds a limit, and outputting a maintenance priority list. Direction self-adaptive monitoring, abnormity judgment and dynamic maintenance of the pressure steel pipe under all working conditions are achieved, and operation safety and maintenance pertinence are improved.