521 results about "Element modeling" patented technology

The invention relates to the technical field of data processing, and discloses a multi-source heterogeneous marine data intelligent fusion and marine disaster prediction method and platform, and the method comprises the steps: carrying out the hierarchical deployment and network topology construction of marine environment monitoring equipment, communication relay equipment and data processing equipment, and obtaining a sea-air-shore integrated monitoring network; collecting marine environment data with a space-time identifier; carrying out ocean element modeling and dynamic feature extraction to obtain an ocean environment digital model; performing feature fusion and correlation analysis on the multi-source heterogeneous ocean data to obtain spatio-temporal feature data; and training and multi-model integration are carried out on the typhoon path prediction model, the storm surge prediction model and the red tide prediction model by adopting a transfer learning method to obtain a marine disaster prediction model set, so that the prediction precision and timeliness are improved, the allocation and scheduling of computing resources are optimized, and the real-time requirement of mass data processing is met.

The invention relates to the technical field of chip heat dissipation, and discloses a photoelectric co-packaging heterogeneous chip heat dissipation integration method, device and equipment, and the method comprises the steps: carrying out the finite element modeling analysis of a photoelectric co-packaging heterogeneous chip, and obtaining a three-dimensional thermal characteristic model; performing signal acquisition and frequency domain characteristic analysis on each functional module of the photoelectric co-packaged heterogeneous chip to generate power consumption prediction data; performing temperature field distribution calculation on the photoelectric co-packaging heterogeneous chip according to the power consumption prediction data and the three-dimensional thermal characteristic model, and constructing a temperature outer ring control model and a heat flow inner ring control model; and performing heat dissipation structure layout optimization calculation based on the temperature outer ring control model and the heat flow inner ring control model, and generating a hybrid heat dissipation layout scheme. Dynamic distribution of heat dissipation power and automatic threshold adjustment are realized, frequent mode switching is avoided, and the thermal characteristic stability of a chip is improved.

The invention discloses a live-line work safety monitoring system based on artificial intelligence, and relates to the technical field of intelligent electric power safety, and the system comprises a data collection module which is used for collecting and preprocessing work data in a live-line work area in real time, and extracting live-line body point cloud data based on the work data; the finite element grid unit is used for dividing all charged bodies into finite element grid units and judging high-temperature charged bodies; and the violation judgment module is used for calculating the electric field intensity value of the position where the operator is located in real time. By combining an electric field, a temperature field and three-dimensional point cloud multi-modal data, comprehensive dynamic perception of an operation area is realized, finite element modeling and dynamic non-uniform heat source distribution analysis are adopted, a high-temperature charged body is accurately identified, the equipment fault early warning capability is improved, action characteristics of an operator are captured through a long-short-term memory network, and the working efficiency is improved. And the illegal behaviors are accurately judged by dynamically combining environmental data, and an optimal operation path is generated in real time by utilizing a three-dimensional grid division and dynamic planning algorithm.

The invention discloses a visual data-based automatic finite element modeling and performance evaluation method for an existing damaged hollow slab girder bridge. The method comprises the steps of S1, acquiring complete three-dimensional point cloud data of a multi-beam-slab model; s2, based on the three-dimensional point cloud data, extracting key geometric features of the structure by adopting a structure three-dimensional size automatic measurement method fusing plane projection and point cloud distortion correction; s3, for the damaged area of the multi-beam-slab structure, identifying the boundary of the damaged area and the non-damaged area of the multi-beam-slab structure through a point cloud neighborhood point height difference comparison and clustering analysis method, and carrying out detailed spatial position analysis on the damage; and S4, a damage unit set is automatically retrieved in combination with damage positioning quantitative information, and automatic updating of hinge joint damage of the multi-beam-slab structure is achieved through a life-death unit method failure damage area finite element grid. According to the method, automatic finite element modeling and evaluation of the existing hinge joint damage multi-beam-slab structure are achieved, and an efficient and accurate technical means is provided for health monitoring and performance evaluation of a bridge structure.

The invention belongs to the technical field of nerve regulation and control, and discloses a portable noninvasive brain deep electrical stimulation system based on time interference, and the system comprises an electroencephalogram signal collection unit which is used for obtaining an electroencephalogram signal in a high-quality resting state, and carrying out the signal preprocessing and feature extraction, thereby obtaining an optimal stimulation envelope frequency; the personalized finite element modeling unit is used for constructing a head personalized model and outputting optimal electrode configuration and stimulation parameters for a target brain region target spot; the electrode positioning and stimulation execution unit is used for realizing accurate positioning of an electrode position and implementing time interference electrical stimulation; the MCU unit is used for realizing data management, task scheduling and remote communication; the human-computer interaction unit is used for realizing visual treatment flow and parameter setting; and the power supply management unit provides stable working voltage for the system. According to the invention, the portable, intelligent and personalized modeling of the electrical stimulation treatment equipment is realized, and the precision and efficiency of nerve regulation and control are remarkably improved.

The invention discloses an in-vitro bionic mechanical testing system and method for spinal skeletal muscles, and particularly relates to the field of mechanical testing, and the system comprises a bionic construction module, a finite element modeling module, a multi-axis mechanical loading module, an iterative calculation module and a correction module; through modular design, the system comprises a vertebral body unit, an intervertebral disc simulation assembly and a skeletal muscle simulation unit, each assembly is customized according to anatomical features of a human body, a finite element modeling module is utilized to generate a three-dimensional model, a multi-directional mechanical load is applied, and response data is collected; experimental data are input into the finite element model for iterative calculation, so that stress distribution, a strain field and kinematic deviation are compared; if the error exceeds a preset threshold value, the model parameters and the physical parameters are corrected until the experiment and simulation results converge; and finally, based on the optimized finite element model, predicting a failure mechanism of the spinal skeletal muscle under a complex load, and evaluating the risks of fracture, hairline fracture, nucleus pulposus protrusion and muscle strain.

The invention discloses a bridge network anti-seismic performance rapid evaluation method based on capability spectrum analysis. The method comprises the following steps: firstly, carrying out finite element modeling on bridges in a regional bridge network needing to be analyzed by using OpenSees, extracting piers, and carrying out vulnerability analysis on the piers; a bridge vulnerability curve is obtained based on a capacity spectrum method, then the failure probability of the bridge in a certain damage state serves as a post-earthquake damage index, and the bridge failure probability is replaced by the post-earthquake failure probability of the corresponding road section; after the post-earthquake failure probability of each road section exists, all paths between a starting point and an ending point, namely, to-be-researched OD pairs in a network area are analyzed, the passing probability of each path after the earthquake is calculated based on the Bayesian theorem and an event independence calculation method, all the paths under the OD pairs are sorted according to the passing probability, and therefore the optimal passing path is obtained; and the path with small passing probability is avoided. According to the invention, a scientific basis is provided for regional bridge network anti-seismic planning and emergency management.

The invention provides a finite element-based method for estimating pulling-out ultimate bearing capacity of a grouting screw anchor in gravelly soil, and relates to the technical field of civil structure engineering.A three-dimensional finite element model containing the grouting screw anchor and surrounding gravelly soil is established, model parameters cover the structure and material characteristics of the grouting screw anchor, and the grouting screw anchor and the surrounding gravelly soil are subjected to finite element modeling; a coordinate axis is established with the center of the anchor bottom as an original point for grid division, a stress concentration area is analyzed, principal stress is calculated to serve as critical bearing stress, vertical pull-out loads are applied step by step through a grouting pull-out test, a pull-out stress influence area is determined, soil stress of the area is analyzed, and soil binding power and friction force are calculated. And a grouting coefficient and a rock crack coefficient are generated, soil parameters are corrected, and the ultimate pulling bearing capacity of the grouting screw anchor is comprehensively obtained. According to the method, the pulling ultimate bearing capacity of the grouting screw anchor is accurately evaluated by establishing the three-dimensional finite element model and the graded loading experiment.

The invention discloses a stator blade shape-following frequency modulation design method based on a bending vibration mode and application, belongs to the field of vibration design of stator blades of aero-engines and gas turbines, and is suitable for vibration frequency modulation design of non-cantilever type stator structure blades (such as fans and gas compressor stators) with inner rings and outer rings in the aero-engines or the gas turbines. According to the method, firstly, static frequency and dynamic frequency modal analysis is carried out through finite element modeling, and dangerous resonance points and corresponding vibration modes in a working rotating speed range are recognized by combining a Campbell diagram; based on a vibration mode amplitude normalization result, setting a vibration degree parameter and a scale factor, selecting a high response node and carrying out directed disturbance, and updating a structure model to improve a target vibration mode frequency; and through frequency amplification verification and iterative optimization, geometric reconstruction and frequency modulation confirmation are finally completed in combination with aerodynamic performance and processing requirements. The method can realize rapid and accurate frequency modulation of a specific bending vibration mode, avoids introduction of new resonance, and has the advantages of high efficiency, strong adaptability and the like.

Hardware and software system solutions provide real-time, interactive predictive simulation of an eye (e.g., a human eye or animal eye). A predictive simulation of an individual eye may be created using finite element models (FEM) of ocular structures involved in optical biomechanics, including ocular adjustments. Unlike previous ocular models, the present FEM described herein is a three-dimensional FEM of an adjustment mechanism, including but not limited to the anterior of the human eye that simulates ciliary muscle fiber contraction actions, to predict the dynamic deformation of the crystalline lens required to adjust visual power variations, referred to herein as' Central Visual Power '(COP). The present FEM further describes aqueous / vitreous outflow and fluid flow mechanisms referred to herein as "hydrodynamics". The virtual FEM further describes posterior ocular biomechanics that simulates the actions of the Bruch membrane, retina, vitreous and sieve plates during pre-stretching, non-regulatory and regulatory actions of the eye.

The present invention discloses a crystal plasticity finite element modeling simulation method, comprising the following steps: obtaining grain information based on EBSD analysis; importing the ctf format file generated by the EBSD analysis into Dream.3D software to realize automatic reconstruction of the grain structure, and outputting the input file and the geometric orientation data of each grain; then processing the grain geometric orientation data through a Python language script to obtain the average geometric orientation information of each grain; combining the average geometric orientation information of the grain with the input file using a Python script to generate a complete input file with geometric model information and material property information; assigning boundary conditions to the model in ABAQUS finite element analysis software and setting its constitutive relationship using the UMAT subroutine, thereby realizing the entire crystal plasticity finite element analysis process. The present invention realizes the process of crystal plasticity finite element modeling and simulation analysis.

The invention provides a non-intrusive diagnosis method for typical rotor faults of a synchronous phase modifier, and the method comprises the steps: carrying out finite element modeling and fault working condition setting, carrying out simulation to obtain magnetic field distribution data under each working condition, carrying out the extraction and feature analysis of stray magnetic field signals, extracting time domain and frequency domain signals of a stray magnetic field under healthy and various fault working conditions, and carrying out the diagnosis of the typical rotor faults of the synchronous phase modifier. Fundamental wave, odd-even harmonic components and signal change trends are compared and analyzed, stray magnetic field characteristics corresponding to faults are extracted and recognized, diagnosis criterion establishment and fault recognition are carried out, diagnosis criteria and threshold values of rotor turn-to-turn short circuit, dynamic eccentricity and shaft-diameter composite eccentricity faults are established according to the stray magnetic field characteristics, and the fault diagnosis accuracy is improved. And when the specific harmonic amplitude or change characteristic of the stray magnetic field signal exceeds the criterion threshold, determining the rotor fault of the corresponding type and degree. Equipment dismounting or structure reconstruction is not needed, the detection system is simple in structure, internal fault characteristics of the phase modifier can be reflected in real time, and high sensitivity and practicability are achieved.

The invention discloses a virtual reality-based heart three-dimensional model construction and operation simulation guidance system. The system comprises a heart data acquisition module, a heart simulation module and a virtual operation module. A dynamic heart simulation model is constructed through a multi-modal medical data fusion technology, electro-mechanical two-way coupled heart motion simulation is achieved, and an immersive surgery scene is generated in combination with a virtual surgery interaction mechanism. The data acquisition module integrates electrocardiogram, image and physical data to form a database; the heart simulation module generates a dynamic heart model through time-frequency domain analysis, finite element modeling and a time-space coupling algorithm; and the virtual operation module supports real-time instrument operation feedback and operation effect prediction. The system can assist doctors in preoperative planning, intraoperative guidance and postoperative evaluation, and the accuracy and safety of cardiac surgery are improved.

The invention discloses a tire finite element modeling and multidirectional rigidity optimization method and system based on characteristic lines. The method comprises the following steps: extracting tire section characteristic lines from a three-dimensional digital model; introducing the tire section characteristic line into a finite element analysis environment, generating a three-dimensional tire geometric model by rotationally scanning the characteristic line, and performing grid division on the model; setting tire material attributes, performing zoning setting on the model according to a tire crown, a tire shoulder and a tire side wall, and setting tire thickness based on zoning; applying a constraint boundary condition at the center of the tire, and establishing a contact form of the tread and the ground; a progressive inflation pressure load is applied, the deformation state of the inflated tire is calculated, and longitudinal rigidity, radial rigidity and lateral rigidity calculation and analysis steps are set; the tire elasticity modulus and the cord fabric thickness are used as design variables, and an optimization algorithm is adopted to solve a multi-objective optimization function. The method has the advantages of being simple in modeling method and high in practical operability, the tire modeling threshold can be lowered, and the fund and time cost of refined modeling is reduced.

The invention discloses an aircraft panel structure boundary equivalent stiffness determination method, and belongs to the technical field of aircraft structure strength. According to the method, finite element modeling is carried out on a fuselage and a local wall plate, loads are loaded at the loading center points of the two finite element models respectively, corresponding displacement load curves and boundary corner load curves are obtained, after the two displacement load curves and the two boundary corner load curves are compared, a total weighting error is obtained, and the total weighting error is calculated. By updating the boundary stiffness of the local wall plate in the finite element model, the total weighting error meets the requirement, and the finally obtained boundary stiffness serves as the boundary equivalent stiffness. According to the method, the deformation mode and the failure behavior of the local wallboard structure and the whole fuselage are consistent, a small-size local wallboard structure can be adopted to replace a large-size fuselage frame section structure, and the test cost can be remarkably reduced while the analysis efficiency is greatly improved.

The invention provides a reflector light machine installation and adjustment prediction method based on glue spot thermal simulation assistance, relates to the technical field of light machine installation and adjustment, and aims to optimize a glue joint process route according to a finite element simulation result by performing finite element modeling on a reflector, a reflector base and glue spots and analyzing stress distribution of the reflector after glue joint. And the technical difficulty of high-strength and low-stress glue joint of the large-size reflecting mirror is solved.

The invention provides an industrial equipment topology optimization method and system based on deep learning, and the method comprises the steps: building a to-be-optimized equipment model based on a finite element modeling algorithm, and the model equipment at least comprises model geometric parameters and load parameters of the model in a design domain; setting a displacement boundary condition for model optimization; constructing a convolutional neural network model, wherein the convolutional neural network model is used for processing the input multi-channel tensor to obtain a density distribution optimization result of the equipment model; based on a variable density method, according to model geometric parameters and load parameters of the equipment model and displacement boundary conditions, determining a multi-channel tensor input into the convolutional neural network; the multi-channel tensor is input into the trained convolutional neural network model, target density distribution of the equipment model is obtained, a topological optimization result of the equipment model is obtained in combination with the density parameters in the material set, and the method provided by the invention can improve the efficiency of topological optimization of the industrial equipment structure.

The invention provides a steel bridge automatic finite element modeling method fusing three-dimensional point cloud and intelligent graph recognition, and the method comprises a bridge key construction external information automatic extraction method based on a point cloud model, and the method comprises the steps: carrying out the principal component analysis and transformation of a bridge point cloud principal axis; and secondly, carrying out secondary segmentation on the bridge structural member by using an adaptive threshold algorithm and a region growing RANSAC algorithm, and finally, realizing information extraction of a key carrier surface through a minimization loss function and parameterization expression, and accurately extracting external key parameters. On the other hand, a structure internal information extraction method based on deep learning and drawings is provided. According to the method, geometric dimension measurement and automatic finite element modeling can be automatically completed, reliable digital twin model support is provided for bridge safety assessment, and the method has high engineering application value.

The invention belongs to the field of laser processing and numerical simulation, and particularly relates to a finite element modeling and analysis method for a nanosecond pulse laser target material. The method comprises the following steps: establishing and loading a laser heat source model; establishing a target material finite element model and carrying out grid division; establishing and solving a transient heat conduction equation; carrying out multi-cycle iterative solution and post-processing; and performing model verification and parameter analysis. According to the method, the laser heat source model is established, the adaptive grid encryption strategy for temperature gradient optimization is adopted, and the transient solution algorithm is combined, so that compared with a traditional simplified analysis model or general commercial software simulation, the prediction precision of the target material temperature field spatio-temporal evolution law under the nanosecond pulse laser effect is remarkably improved. The method can accurately predict the temperature distribution and evolution law of the target material under the action of laser, has the advantages of high modeling precision, good calculation efficiency, wide application range and the like, and is suitable for engineering applications such as laser processing and damage evaluation of optical materials and composite materials.

The invention relates to the technical field of material analysis, in particular to a crystal plasticity finite element modeling method, a crystal plasticity finite element modeling device, a storage medium and electronic equipment. The crystal plasticity finite element modeling method comprises the following steps: collecting grain information of a given material sample; performing crystal grain division based on the crystal grain information to obtain a crystal grain data file, and determining grid parameters based on a crystal grain with a minimum crystal grain morphology area in the crystal grain information; creating a grain geometric model according to the grain data file, creating a grid model according to the grid parameters, and mapping the grain geometric model to the grid model to obtain a crystal plasticity finite element grid model; and endowing a boundary condition and a constitutive relation to the crystal plasticity finite element mesh model so as to realize crystal plasticity finite element simulation. According to the crystal plasticity finite element modeling method provided by the invention, the modeling calculation efficiency can be improved while the model precision is ensured.

The invention discloses a solid rocket engine bearing structure lightweight determination method based on a carbon fiber composite material, and relates to the technical field of composite material structure design, and the method comprises the steps: obtaining the structure size and geometric shape of a fixed body; replacing a titanium alloy material with a carbon fiber composite material, and determining a carbon fiber composite material structure response model based on a finite element modeling method; determining an optimal layering scheme based on structural response sensitivity analysis and a multi-objective optimization method; then determining a thickness optimization scheme based on the structural size and geometric shape of the fixed body and load distribution; determining a reinforcement optimization scheme based on a parametric modeling method; determining a metal reinforcement configuration by adopting a structural rigidity-quality collaborative evaluation method; and finally, determining a lightweight structure of the fixed body based on a composite material layering process design method. The mass of the fixing body structure can be reduced, the mechanical property of the fixing body structure is improved, and the high-performance design requirement of a solid rocket engine is met.

The invention belongs to the technical field of discrete element simulation, and particularly relates to a digital twinborn discrete element model construction method based on CT (Computed Tomography) scanning, which comprises the following three steps of: in a CT scanning stage, acquiring a high-resolution cross-sectional image by optimizing scanning parameters, and carrying out image noise reduction and feature enhancement processing; in the structural analysis stage, a segmentation model is constructed based on a deep convolutional neural network, and automatic annotation of a scanned image and intelligent prediction of a three-dimensional space topological relation are realized; in the discrete element modeling stage, the reconstructed three-dimensional grid model is converted into a discrete element model with real physical attributes through parameter calibration, and discrete element simulation is achieved. According to the method, the non-destructive detection advantage of industrial CT and the feature extraction capacity of deep learning are combined, microstructure characterization is converted into macroscopic performance prediction, and a reliable simulation analysis method is provided for performance optimization of the composite material.

The invention discloses a method for solving free vibration of a three-dimensional structure under an equal water depth condition, and relates to the technical field of ocean engineering, the method comprises the following steps: discretizing a geometric model of the structure to obtain a finite element mesh model and a boundary element wet surface mesh model; constructing a boundary integral equation based on the boundary element wet surface grid model and a potential flow theory, introducing a finite water depth mirror image Green function without considering a free surface effect, and solving a flow field velocity potential of a structure in the equation under an equal water depth condition; calculating the additional mass generated by the fluid on the structure when the structure freely vibrates in the flow field based on the flow field velocity potential; and obtaining a free vibration equation of the structure according to the finite element mesh model, adding additional mass, and solving to obtain the vibration intrinsic mode and the vibration frequency of each order of the structure in the flow field. According to the method, the simulation requirement for the fluid-solid coupling effect of the structure in actual engineering can be met, simulation calculation can be carried out only by carrying out finite element modeling on the structure, and certain calculation precision is achieved.

The invention discloses a method and device for predicting abrasive particle impact damage on the surface of a carbon fiber plate, relates to the field of aerospace material performance research, and can solve the problem that the evolution process of damage to the carbon fiber plate caused by micro-scale abrasive material impact cannot be directly observed and obtained in real time at the present stage, and the method comprises the steps that a gas-solid two-phase flow field model in a nozzle is established; setting a discrete phase injection source in CFD simulation software, and determining abrasive particle motion data according to the gas-solid two-phase flow field model in the nozzle after grid division; establishing a three-dimensional model of the abrasive particles in finite element modeling simulation software and carrying out grid division; a carbon fiber plate model is established in explicit dynamics simulation software, the abrasive particle three-dimensional model obtained after grid division is imported into the carbon fiber plate model, the initial impact speed of the abrasive particles on the carbon fiber plate model is set according to abrasive particle motion data obtained through calculation of CFD software, and the damage result of the carbon fiber plate is determined through impact simulation calculation of the abrasive particles on the carbon fiber plate. The method is used for simulating and predicting the damage caused by impact of the microscale abrasive on the carbon fiber plate.

The invention discloses a turbine disc baffle structure optimization method and device, equipment, a medium and a product and relates to the field of turbine rotors, and the method comprises the steps that actual structure information of a turbine disc-baffle rotor system is obtained; performing finite element modeling on the actual structure information to obtain a finite element model; transient thermal analysis and transient stress analysis are sequentially carried out according to the finite element model, and the most dangerous time step where the maximum equivalent stress and the maximum contact stress are located is obtained; establishing a response surface model based on a Kriging model according to the most dangerous time step where the maximum equivalent stress and the maximum contact stress are located and actual structure information; according to the response surface model, a multi-target genetic algorithm is used for optimization, and optimized turbine disc baffle structure information is obtained. Stress concentration is effectively reduced, and the fatigue life is prolonged.

The invention discloses a tunnel excavation deformation characteristic curve prediction method based on an agent model. The method comprises the following steps: step 1, determining an input variable and a value range thereof; 2, parameterizing and representing a tunnel excavation deformation characteristic curve; step 3, establishing an agent model and training; 4, tunnel excavation deformation characteristic curve parameters are predicted; and 5, drawing a tunnel excavation deformation characteristic curve. According to the method, through parameterization characterization of the tunnel excavation deformation characteristic curve and establishment of the tunnel excavation deformation characteristic curve parameter prediction agent model, corresponding tunnel excavation deformation characteristic curve parameter values are directly obtained under the condition that finite element modeling analysis does not need to be carried out in the tunnel excavation construction process; therefore, the tunnel excavation deformation characteristic curve is quickly predicted, the prediction workload is reduced, and the prediction efficiency is remarkably improved. The bottleneck that a traditional simulation analysis prediction method cannot rapidly predict the tunnel excavation deformation characteristic curve is broken through, and the method has wide application prospects in tunnel construction safety prevention and control and support optimization design.

Disclosed is a finite element modeling system and method for hydraulic fracturing problems based on a large language model. The method is implemented by the system. The method comprises: a user inputting a key description of a finite element model desired to be generated; a large language model of a cloud service platform generating a key parameter file; a mesh tool generating a mesh file; a parameter mesh coupling tool generating a finite element model file; a computing server executing the finite element model file, a system output unit prompting the user of completion of modeling and execution, and a display interface displaying a visualized finite element model and an execution result; the user determining whether an expectation is satisfied; if the expectation is not satisfied, the user re-inputting the description; if the expectation is satisfied, the user outputting the finite element model and the execution result.

The invention relates to the technical field of human body three-dimensional modeling, in particular to a human body measurement parameter set-based three-dimensional body surface shape generation method, which comprises the following steps of: S1, establishing a parameterized body surface model T; s2, determining a target anthropometric parameter group # imgabs0 #; S3, determining a transformation relation F based on the parameterized body surface model T and the target anthropometric parameter group # imgabs1 #; S4, constructing and verifying an optimized physical sign parameter beta *; and S5, substituting the optimized physical sign parameter beta * into any pose parameter theta, and changing the body surface geometric space pose of the optimized physical sign parameter beta *. By means of the method, finite element modeling of the human body in any form can be achieved, a statistical regression or condition generation model from one-dimensional measurement parameters to three-dimensional human body shapes does not need to be established, and various downstream human body modeling tasks oriented to sign diversity are achieved.

The invention relates to the field of oil and gas reservoir drilling, and provides a borehole wall stability analysis method for a deepwater shallow long horizontal well, which comprises the following steps: carrying out mechanical parameter test on a weakly cemented rock sample to obtain basic mechanical characteristic parameters; performing time-varying strength modeling on the weak cementation constitutive structure to obtain a damage evolution model; performing three-dimensional finite element modeling on the stratum around the borehole to obtain a numerical calculation model; establishing a control equation set, and discretely solving the control equation set through the numerical calculation model to obtain a field variable solving result; and well wall stability analysis is carried out based on the field variable solving result, and an analysis result is obtained. According to the method, the well wall stability prediction precision of the deep-water shallow-layer long horizontal well is improved, and the safety of well drilling is improved.

The invention relates to the technical field of finite element modeling, in particular to a kinematics and dynamics index output method based on a human body model, which comprises the following steps of: S1, establishing acceleration modules at the head, the chest, the hip and the lower limbs of the human body model for global and local acceleration and angular velocity output; s2, building displacement modules at the chest, abdomen, knee joints and achilles tendons of the human body model, wherein the displacement modules are used for outputting the compression amount and the elongation amount; and S3, establishing section force modules at the spine, crista iliaca, femur and tibia of the human body model for outputting local force and torque. According to the scheme, the technical problem that kinematics and dynamics indexes of the human body model cannot be effectively extracted in the prior art can be solved, the obtained kinematics and dynamics indexes can be compared with data collected by various sensors in a real physical test, and biological fidelity verification of the human body model is facilitated.