442 results about "Finite element software" patented technology

The invention discloses a deep learning-based staged tension prestress long-term loss prediction method, which belongs to the field of deep learning, solves the problem of poor prediction result robustness of a traditional prestress measurement method, and comprises the following steps: obtaining bridge original data based on a standard drawing set and a bridge design specification; based on the construction environment conditions and the concrete age, concrete material attributes are calculated; based on bridge original data and concrete material attributes, finite element software is used for simulating prestressed reinforcement staged tensioning processes under different working conditions, and a bridge prestressed reinforcement staged tensioning loss data set is generated; and constructing a prestress loss prediction model based on the multi-layer perceptron neural network, processing the staged tensioning loss data set of the bridge prestressed reinforcement based on the prestress loss prediction model, and outputting a prediction result of long-term loss caused by shrinkage and creep of the prestressed reinforcement. According to the method, the stress loss of the prestressed reinforcement can be effectively predicted, and the prediction robustness and accuracy are improved.

The invention discloses a concrete arch dam global structural mechanical parameter zoning rapid inversion method, and relates to the technical field of dam operation safety monitoring and management, and the method comprises the steps: building a dam body and foundation three-dimensional finite element model through finite element software according to engineering design and monitoring data, and building a foundation three-dimensional finite element model according to damming material mechanical parameter information; partitioning the three-dimensional finite element model, analyzing the sensitivity of mechanical parameters of each region, determining sensitive mechanical parameters influencing the deformation of the concrete arch dam, and carrying out self-adaptive intelligent sampling on the sensitive mechanical parameters according to a sensitivity analysis result, and constructing a deep learning agent model reflecting a nonlinear relationship between the sensitive mechanical parameters of the dam and the deformation of each monitoring point, and carrying out deep learning inversion on the elastic modulus of the dam body and the deformation modulus of the bedrock. According to the invention, the method can efficiently and accurately invert and determine the structural mechanical parameters of the arch dam in the actual operation period, and provides a good basis for the safety analysis of the dam.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention provides a method and a system for predicting residual compression strength of a carbon fiber composite material after lightning stroke, and belongs to the technical field of electric digital data processing. According to the method, by considering the pyrolysis degree of the lightning stroke CFRP composite material, the non-linear mechanical property parameters related to the pyrolysis degree actually measured based on the test and the thermal and mechanical damage results predicted based on the electric-thermal-mechanical multi-physics field coupling model are calculated; an actually measured nonlinear mechanical property thermal damage factor and a mechanical damage factor caused by impact damage are introduced into a constitutive relation of the CFRP composite material, and a finite element simulation method capable of quantitatively predicting the residual compression strength after lightning stroke is established by virtue of finite element software ABAQUS; the problems that in the prior art, the influence mechanism of lightning stroke damage on the mechanical property of the CFRP composite material is not clear, and a simulation modeling method capable of being directly used for calculating and predicting the residual compression strength after lightning stroke is lacked are solved.

The invention discloses a high-formwork optimization design method and system based on BIM and finite element analysis, and the method comprises the steps: S100, building a three-dimensional BIM model of a main body structure, and creating an intelligent parameterization frame body family which is mapped with a main body structure family and has a self-verification function; s200, importing a parameterized family and linking the main body model, generating a plurality of groups of frame body arrangement schemes through spatial topology analysis, and performing a three-dimensional collision test after optimization; s300, setting dynamic boundary constraints and construction loads in stages, and generating a geometric and mechanical integrated data packet; s400, data packet parameters are automatically mapped to finite element software through a plug-in, models are built in stages, multi-working-condition analysis is carried out, if the parameters exceed the limit, frame body parameters are modified, iterative optimization is carried out until the parameters meet the standard, and a result is synchronized to a three-dimensional BIM model; and S500, a construction drawing is automatically generated, and visual disclosure and high formwork monitoring point selection are carried out. According to the method, design, computational analysis and construction application data linkage and closed-loop management from design to construction to monitoring are achieved, and the high formwork design efficiency and safety are improved.

The invention discloses a multi-billet continuous casting billet rough rolling pass system optimization method based on finite element software, and relates to the technical field of steel rolling casting, and the method comprises the following steps: based on the principle that metal second flow is equal, establishing a digital model of volume flow dynamic balance during rolling of billets with different sections, and quantifying a billet rough rolling deformation rule; carrying out hole pattern modeling of multi-blank pattern switching by utilizing the finite element simulation model, building a cooperative computing framework, and dynamically deploying a finite element computing scheduling task; on the basis of multi-physics coupling analysis, stress-strain characteristics and size evolution rules of the blanks under the condition of multi-dimensional parameters are predicted, a process optimization target is generated, and the requirements of the blanks with different sections are met; and real-time mapping of virtual and real data is established, a process knowledge base is constructed, and regular learning and updating are carried out. According to the method, the finite element software is adopted, so that the rough rolling deformation rule of different section blank types can be simulated more accurately, the shape and the size of a rolled material can be predicted and controlled more accurately, and the accuracy and the reliability of an optimization result are improved.

The invention discloses a low-loss planar transformer design method suitable for an LLC resonant converter, and the method comprises the steps: firstly collecting the index parameters of the LLC resonant converter, setting the target parameters of a planar transformer, selecting a magnetic core model meeting the requirements according to an AP method, and then carrying out the design of a winding structure, finally, modeling and simulation of the planar transformer are completed in finite element software, and if the simulation result does not meet the set parameter and loss requirements, selection of the magnetic core model and design of the winding structure need to be conducted again; and if the set parameters and the loss requirements are met, finishing the design.

The invention relates to the technical field of data processing, and discloses a shipyard steel framed bent scheme automatic optimization method and system based on a genetic algorithm. The method comprises the following steps: acquiring shipyard steel bent frame structure parameters and establishing an engineering experience database to obtain initial component section parameters; carrying out structure parametric modeling based on the initial parameters, generating a structure calculation model and carrying out load condition analysis; importing finite element software to carry out internal force analysis, and carrying out component standard checking calculation to obtain a stress ratio; performing multi-objective optimization through an NSGA-II algorithm to obtain a Pareto optimal solution set; and finally carrying out three-dimensional modeling and document generation to obtain an optimization design result. According to the method, the design scheme of the steel bent frame structure is automatically optimized while multiple load working conditions and design targets are considered, and it is ensured that the design result meeting the safety standard and with the optimal cost is obtained within the shortest time. By solving the problem, the design efficiency can be greatly improved, the design cost is reduced, and the structural safety is ensured.

The invention discloses a rock blasting load transfer and throwing simulation method which comprises the following steps: S1, acquiring field parameters of a target blasting project, the field parameters comprising rock mass mechanical parameters, explosive parameters, blast hole parameters and charging structure parameters; and S2, based on the field parameters, constructing a three-dimensional explosive-rock calculation model by adopting pretreatment software, dividing grids, importing the grids into finite element software, setting a material model, a state equation and boundary conditions, and simulating an explosive detonation process. The limitation of a single numerical value method is solved; quantitative analysis and accurate prediction of rock blasting lumpiness are achieved, inclined joints are adopted in the discretization process, actual rock mass joint distribution is better fitted, and the reliability of a simulation result is improved; bulk rocks and excessive crushing phenomena are effectively reduced, the explosion energy utilization rate is improved, the engineering cost is reduced, and a scientific basis is provided for explosion design of projects such as mining and water conservancy and hydropower.

The invention provides a time domain and frequency domain combined impact resistance analysis method and device for a ship stern tube, and the method comprises the steps: building geometric models of all parts in the stern tube through three-dimensional modeling software according to an actual engineering drawing of the stern tube, carrying out virtual assembly on the geometric model of each component according to the actual assembly relation of each component to obtain a geometric model of the tail shaft tube; importing the geometric model of the tail shaft tube into finite element software, endowing each component with material attributes, and carrying out grid division on the geometric model by adopting an overall network size control method; and performing static analysis on the geometric model after grid division to obtain static working stress, performing dynamic analysis on the geometric model after grid division to obtain dynamic impact stress, and synthesizing the static working stress and the dynamic impact stress into total stress. According to the method, time domain and frequency domain combined shock resistance response calculation is carried out for the tail shaft tube as a core component of the ship propulsion system, and the accuracy of shock resistance response calculation is improved.

The invention relates to the technical field of manufacturing of micro electro mechanical systems, in particular to a metallization method of a micro-hemispherical harmonic oscillator for trimming after assembly, which comprises the following steps of: establishing a micro-hemispherical harmonic oscillator structure model, simulating and calculating modal parameters of the harmonic oscillator; calculating an influence rule of the trimming width and the trimming depth on frequency splitting of the micro-hemispherical harmonic oscillator model by adopting finite element software to obtain a relation curve of trimming quality and frequency splitting change; measuring the resonant frequency f and the frequency cracking f of the working mode of the harmonic oscillator to be processed, estimating the removal mass required by the corresponding frequency cracking according to the calculated relation curve, carrying out mass trimming to obtain a relation curve of the actual removal mass and the frequency cracking, and confirming the minimum width wmin required by the actual trimming; and removing the film layer with the ring width of wmin by adopting laser. According to the invention, quality trimming is carried out on the premise of not influencing the capacitance value of the harmonic oscillator, and driving and detection gain errors caused by quality trimming are reduced.

The invention relates to the technical field of space structure design and parameter optimization, in particular to a neural network model-based reticulated shell structure node parameter automatic optimization method, which comprises the following steps of: acquiring an input-output data pair of a single-layer cylindrical reticulated shell constructed by aluminum alloy plate type nodes, the input parameters comprise design parameters and initial node parameters of the single-layer cylindrical reticulated shell. According to the method, node optimization data under different parameters are obtained through interaction of a genetic algorithm, finite element software and a programming tool, an example is supplemented to construct a training data set covering a common design parameter range of a project, and then a three-layer full-connection neural network model containing two hidden layers is trained; and the model precision is ensured by matching an early stop strategy and a learning rate attenuation strategy. During application, target single-layer cylindrical reticulated shell design parameters are input, the model can automatically output optimized node parameters, repeated iteration and manual intervention of a traditional method are not needed, optimization time consumption is greatly shortened, and the multi-working-condition batch optimization requirement is efficiently met.

The invention discloses a method for analyzing the bearing capacity of a fish-bellied truss roof, which comprises the following steps of: constructing a three-dimensional geometric model according to an internal support construction drawing of the fish-bellied truss roof, and acquiring stable bearing capacity data of an internal support of a fish-bellied truss; finite element software is adopted to construct a three-dimensional model for numerical simulation, and elastic characteristic value buckling analysis is conducted on the fish-bellied truss; a parameter optimization model based on a three-dimensional model and three-dimensional coordinate iteration is established for the mechanical parameters by adopting PYthon semantics, and the spatial stiffness and the bearing capacity in a single-parameter state are obtained; adopting a multi-target fusion state detection algorithm to calculate parameter factors influencing the truss in a stress state; the parameter factors are subjected to a geometric correction algorithm, the bearing capacity of the fish-bellied truss in different stress states is obtained, the accuracy and efficiency of fish-bellied truss design can be remarkably improved, dynamic optimization, resource saving and technical innovation can be achieved, the design period is greatly shortened, and the working efficiency is improved.

The invention relates to the technical field of engineering structure health monitoring and artificial intelligence, and discloses an offshore wind turbine tower drum base three-dimensional stress distribution prediction and visualization method, which comprises the following steps: generating batch working conditions by presetting a bending moment range and an interval, and calling a finite element software automation script to execute static analysis; node stress values are extracted and integrated into a structured training data set; customizing neural network training: constructing a full-connection network, and training a model by adopting a standardized preprocessing and early stop mechanism; generating an interactive cloud picture: generating a 3D stress cloud picture HTML (Hypertext Markup Language) file supporting rotation / zooming / data query based on a spatial interpolation algorithm and a Plotly tool, and automatically marking the coordinate and the numerical value of a maximum stress point; and end-to-end system deployment: packaging as a Flask Web application, and inputting a bending moment value by a user to generate an interactive cloud picture in real time. The stress analysis period is greatly shortened, the engineering application threshold is reduced, and rapid evaluation and remote cooperation of the offshore wind turbine tower drum base can be efficiently supported.

The invention discloses a salt-cavern gas storage sealing performance evaluation method based on gas-water two-phase seepage, and belongs to the technical field of salt-cavern gas storages, the method comprises the following steps: embedding a formula in a fluid-solid-gas coupling theoretical model under a saturated water surrounding rock gas injection and production condition into finite element software, inputting mechanical parameters and pore permeability parameters of rock, and calculating the sealing performance of the salt-cavern gas storage according to the mechanical parameters and the pore permeability parameters; the correction coefficient of the slippage effect on the gas permeability, the gas relative permeability and the pore water relative permeability are obtained; based on the initial stress of surrounding rock, corresponding stratum stress values and hydrostatic pressure values are applied to the top, the bottom and the side faces of a rock stratum respectively, an injection-production air pressure boundary is applied to the surface of a salt cavern cavity, numerical simulation is carried out through a fluid-solid-gas coupling theoretical model and parameters, and the gas seepage velocity is obtained through solving. And evaluating the cumulative gas leakage rate in combination with the cumulative gas leakage rate model. According to the method, the gas seepage behavior under the real working condition is simulated, the slippage effect of the small molecule gas and the gas-water displacement process of the water-saturated rock stratum are considered, and the gas leakage amount evaluation is more accurate.

The invention belongs to the technical field of bridge cranes, and provides a bridge crane metal structure fatigue life evaluation method, which comprises the following steps: establishing a bridge crane simulation model through finite element software ANSYS according to a bridge crane structure, and respectively carrying out concentrated analysis on stress under a static working condition and a dynamic working condition to obtain the fatigue life of a bridge crane metal structure. The method comprises the following steps: determining a dangerous stress area, carrying out dominant analysis on stress components of the dangerous stress area under a static condition from a spatial distribution dimension of the stress components, and monitoring a uniaxial stress state of the dangerous stress area under the static condition. Deviation analysis is carried out through the multi-axis stress damage value of the dangerous stress area at the single-multi-axis change time point, the single-axis evaluation error is eliminated through multi-axis stress equivalent correction, and it is ensured that the fatigue life evaluation result is highly consistent with the actual stress damage rule of the structure.

The invention belongs to the technical field of civil engineering, and discloses a karst area shield tunnel modeling method based on real data, which comprises the following steps: S1, collecting real geological exploration data of a tunnel construction area, and obtaining point cloud data of a karst cave and a stratum represented by three-dimensional space coordinates; s2, preprocessing the collected point cloud data, including removing noise points and normalizing coordinates; s3, reconstructing a three-dimensional geometric model of the karst cave based on the point cloud data, analyzing geometric features of the karst cave and outputting a three-dimensional model file; s4, in finite element software, establishing a three-dimensional model of the shield tunnel and the stratum according to the design parameters; and S5, importing the reconstructed karst cave three-dimensional model into Abaqus, and integrating the reconstructed karst cave three-dimensional model with a shield tunnel and a stratum model to realize karst region shield tunnel integrated digital modeling. According to the method, the authenticity, efficiency and compatibility of geological modeling are improved, and a digital basis is provided for subsequent simulation analysis and engineering design.

The invention discloses a simulation method and system for microwave-induced heterogeneous rock heating fracture, and relates to the technical field of rock crushing engineering.The simulation method comprises the steps that an image of the surface of heterogeneous rock is obtained, and contour images and distribution characteristics of various mineral components in the image are extracted; establishing a microwave heating model in finite element software, and establishing a GBM numerical model in discrete element software; inputting the mineral composition contour image into finite element software, obtaining a pixel value, assigning the pixel value, and carrying out microwave heating simulation; and performing temperature assignment on the temperature discretization conversion, the GBM numerical model and the thermodynamic constitutive model as final temperature distribution, and performing thermal-mechanical coupling calculation on the GBM numerical model to obtain final temperature field distribution and a fracture mode. According to the method, the limitation of generating a numerical model through a traditional random function is broken through, the numerical model based on real mineral distribution is constructed through the image recognition technology and refined numerical modeling of the mineral crystal model, the accuracy is higher, and the method is more persuasive.

The invention relates to the technical field of high-strength steel hot roll bending forming processes, and provides a method, device and equipment for predicting hot bending forming springback based on simulation software. The method comprises the steps that a three-dimensional assembly model is constructed based on the geometric dimension of a roll forming machine; importing the three-dimensional assembly model into finite element software to simplify the three-dimensional assembly model; performing different types of grid division on different areas, and setting fixed boundary conditions and process parameters; pre-defining a temperature field for the bending area, and constructing a thermal-mechanical coupling constitutive model to obtain a temperature field simulation result; and establishing a simulation model by using a dynamic and static combined algorithm, and predicting the springback value. According to the method, finite element simulation is carried out on the bending process, the springback value is directly output through the node displacement difference, springback deformation is visualized through a post-processing tool, and high-precision prediction is achieved.

The invention discloses a numerical simulation analysis method for a near-river ultra-deep foundation pit under the action of seepage flow, and the method comprises the following steps: S1, constructing a three-dimensional numerical model based on finite element software PLAXIS 3D, and constructing a non-uniform stratum model in combination with a Borehole module; s2, fine modeling is conducted through the underground diaphragm wall, the reinforced concrete supports and the latticed columns; s3, simulating a small strain hardening characteristic and a rigidity attenuation effect of the soil body by adopting an HSS model; s4, simulating underground water flow by combining plastic steady-state seepage analysis, and simplifying the three-axis cement mixing pile into an underground diaphragm wall structure through an equivalent stiffness principle; and S5, step-by-step excavation and support sequential control construction procedures are adopted, and finally, the reliability of the model is verified by comparing a horizontal displacement simulation result of the diaphragm wall with field monitoring data. According to the method, the foundation pit deformation rule is predicted through HSS constitutive model and seepage coupling analysis, and the foundation pit deformation prediction precision is remarkably improved.

The invention discloses a hydraulic fracturing crack propagation simulation acceleration method and system based on finite element and deep learning coupling. In order to solve the problems of large calculation amount and long time consumption of fracture propagation numerical simulation in the hydraulic fracturing process, the efficient fracture propagation prediction method is developed by combining deep learning sequence modeling and finite element software accurate solution. According to the method, the results of a plurality of first time steps of hydraulic fracturing crack expansion are firstly calculated and obtained through finite element software, corresponding physical field data are exported, deep learning models such as a long-short-term memory network (LSTM) are trained, and rapid prediction of the crack expansion form of the subsequent time steps is achieved; and a prediction result is transmitted back to the finite element software as a new initial condition, and cyclic coupling calculation is carried out. According to the method, computing resources and time required by hydraulic fracturing crack propagation simulation are greatly reduced, and the efficiency and engineering practicability of crack propagation analysis are improved.

The invention discloses an automatic radiation noise simulation method, device and equipment of acoustic finite element software and a storage medium, and relates to the technical field of noise simulation, and the method comprises the steps: obtaining a grid size and a convex hull grid distance according to a geometric model, a material and a frequency input by a user; performing mesh generation on the surface of the geometric model based on the mesh size to obtain a surface mesh; obtaining a convex hull grid based on the convex hull grid distance and the surface grid; generating a tetrahedral mesh in an area between the surface mesh and the convex hull mesh; based on the surface grid, the tetrahedral grid and the convex hull grid, acoustic radiation noise simulation is carried out, full-process autonomous generation from simulation input to grid calculation is realized, and the efficiency problem of grid division and boundary setting depending on artificial experience in the prior art is solved. The calculation precision is guaranteed, meanwhile, the pretreatment workload is reduced to the degree that only basic parameters need to be input, and the operation complexity of radiation noise simulation conducted by acoustic finite element software is reduced.

The invention relates to the technical field of geotechnical engineering and underground structure monitoring, in particular to an anchor-bolt-free support system monitoring system based on multi-structure parameter monitoring, which is characterized in that before the anchor-bolt-free support system is monitored, a monitoring model of the anchor-bolt-free support system is built in combination with general finite element software, and natural redundancy advantages of regular hexagon topology are combined; the monitoring precision of various structural parameters of the anchor-bolt-free support system under different grid intervals and the repairing capacity and cost of the whole sensor network are fully analyzed, topological structure innovation, algorithm optimization and multi-source data fusion are achieved, a complete technical chain of high-precision modeling, intelligent network arrangement, dynamic monitoring and accurate early warning is constructed, and the method is suitable for large-scale popularization and application. The core problems of difficult restoration due to data loss, abnormal identification lagging and cost-efficiency imbalance in monitoring of an anchor-rod-free supporting system are effectively solved, the method can be widely applied to projects such as tunnels, foundation pits and side slopes, and a brand new solution which is intelligent, low in cost and high in robustness is provided for safety management and control of geotechnical engineering.

The invention provides a concrete structure construction period temperature deformation cracking risk prediction method comprising the following steps: S1, temperature monitoring: after concrete structure pouring is completed, continuously monitoring a concrete internal and surface temperature development curve; s2, inverting thermal parameters, namely inverting an equivalent adiabatic temperature rise curve and an equivalent thermal diffusivity of concrete under a field condition and a convective heat transfer coefficient of the concrete under a template in-place condition by combining a monitoring temperature, an environment temperature and a heat preservation condition and utilizing a heat conduction equation inverse analysis method; s3, prediction in the form removal period and the later period: inputting the thermal parameters obtained by inversion into finite element software, performing temperature field prediction, switching a boundary condition to be a heat exchange coefficient after form removal, and simulating subsequent temperature evolution; s4, risk index calculation and grading: calculating a risk index, and quantifying or grading the cracking risk according to a set threshold value; s5, performing construction decision linkage; according to the method, the thermal parameters of the concrete can be quickly inverted by utilizing early field measured temperature data.

The invention belongs to the technical field of welding stress prediction, and discloses a welding residual stress and evolution prediction method, the method aims to evaluate and predict the residual stress and evolution of a welding member, and the method comprises the following steps: experimental measurement and fitting of material creep model parameters; the creep model is input into finite element software, and welding simulation is conducted; key point position stress values of the welding component at different time nodes under different welding process parameters are extracted; and training a neural network model by taking the welding process parameters as input features and the stress values extracted by finite element simulation as output features. According to the prediction method, the influence of welding residual stress evolution on a welding component is considered, calculation resources and time are saved, the calculation time can be shortened from 10 hours to 10 s, the prediction error is within 95% compared with finite element simulation, and the method has the advantages that the implementation process is easy to control, and the method is suitable for popularization and application. And an effective solution is provided for engineering on-line prediction of welding residual stress and evolution thereof.

The invention discloses a method for predicting the prestress loss of a steel cable in the whole fire process, and belongs to the technical field of bridge engineering. The method comprises the steps that a finite element heat transfer analysis model of the steel cable is established based on ABAQUS finite element software, and a finite element thermal coupling analysis model of the corresponding steel cable is established; and loading the heat transfer analysis result of the steel cable as a pre-stress field into a thermal-mechanical coupling analysis model, and simulating to obtain the pre-stress loss evolution condition of the steel cable in the whole fire process. According to the method, the prestress loss of the steel cable in the whole fire process is analyzed through numerical simulation, and compared with a traditional fire test method, the research cost is greatly reduced, and the analysis efficiency is remarkably improved; the prediction method provided by the invention can be directly applied to engineering practice, provides a scientific basis for evaluating the stress state of the steel cable structure after the fire, has an important reference value for guiding the formulation of a post-disaster repair scheme, and is beneficial to improving the fire-resistant safety performance of an engineering structure.

The invention relates to the technical field of part installation and adjustment, in particular to a part installation and adjustment scheme generation method and system.The method comprises the steps that part information corresponding to an installation and adjustment part is obtained, and a multi-physics field model corresponding to the installation and adjustment part is constructed based on finite element software; identifying key control points in the multi-physics field model; generating a simulation rule based on the batch of the parts, and adjusting an installation and adjustment working condition corresponding to the multi-physics field model according to the simulation rule; key control points are updated based on the simulated assembly working condition, and an initial population set is generated based on a genetic algorithm technology; dynamically adjusting a deviation weight coefficient corresponding to the key control point based on the adjustment working condition by adopting a preset weight mechanism; and performing optimal iteration on the initial population set according to the deviation weight coefficient and the iteration parameter to obtain an actual installation and adjustment scheme. The deviation weight coefficient of the key control point is automatically adjusted according to the adjustment working condition through the preset weight mechanism, and the problem that the prior art lacks dynamic adaptability is solved.

The invention belongs to the technical field of composite material structural strength, and provides an adhesive effect-considered honeycomb equivalent modeling method, which comprises the following steps of: obtaining a tensile / compressive elastic modulus of a honeycomb core material, a tensile / compressive elastic modulus of a curing adhesive material and an adhesive thickness; establishing an equivalent relationship among the mechanical properties and structural parameters of the adhesive material, the mechanical properties of the honeycomb core material, the structural parameters of the honeycomb core layer and the mechanical parameters of the honeycomb; and inputting the equivalent relationship into finite element software, and carrying out honeycomb equivalent modeling. According to the method, the technical problem that an analysis result obtained after equivalent modeling is greatly different from a test result is solved, and the requirement for accurate analysis of the mechanical property of the honeycomb sandwich structure composite material is met.

The invention relates to a bridge prestressed reinforcement elastic compression loss prediction method and system and a storage medium. The method comprises the following steps: simulating a bridge model through finite element software; the sum of all the prestressed reinforcement units is calculated, and temperature loads applied to all the reinforcement units are calculated; according to a prestressed reinforcement tensioning sequence and a life-death unit method, temperature loads are applied to reinforcement units one by one, and calculation is carried out; the method comprises the following steps: constructing an original data set, preprocessing, and dividing to obtain a training set, a verification set and a test set; constructing an MLP multilayer perceptron neural network model as a prediction model of the elastic compression loss of the bridge prestressed reinforcement to the concrete, and training the prediction model; and utilizing the trained prediction model to predict concrete elastic compression prestress loss caused by tensioning other prestressed reinforcements by the prestressed reinforcements. According to the invention, the elastic compression loss prediction of the bridge prestressed reinforcement can be quickly and accurately realized.

The invention provides a method for evaluating fatigue life of a turbine blade under complex working conditions based on finite element simulation. The method comprises the steps of three-dimensional thermoelasticity theoretical model construction, turbine blade finite element model construction, thermoelasticity calculation and stress analysis and high-temperature fatigue life calculation. The method comprises the following steps: performing multi-physical field coupling analysis on load parameters of a finite element model of the turbine blade to obtain thermoelastic parameters of the turbine blade; and based on the thermal elastic parameter correction fatigue calculation formula of the turbine blade, obtaining the fatigue life of the turbine blade, and generating a fatigue life distribution cloud picture of the turbine blade through finite element software. According to the method, stress and strain of the turbine blade are analyzed through finite element software, key parts prone to fatigue damage are found, the fatigue life of the turbine blade is calculated, and fatigue life evaluation of the turbine blade in complex environments such as high temperature, high pressure and high rotating speed is achieved. The objective of the invention is to solve the problem of accurate evaluation of the fatigue life of the turbine blade.