664 results about "Stress distribution" patented technology

The embodiment of the invention relates to the technical field of data modeling analysis, and discloses a tunnel rock stratum large deformation analysis method and system based on three-dimensional modeling, and the method comprises the steps: collecting initial three-dimensional point cloud data through three-dimensional laser scanning; constructing an initial three-dimensional geologic model containing spatial morphological characteristics and a rock stratum interface geometric topological relation through space coordinate matching and curved surface reconstruction; finite element unstructured mesh generation is carried out on the model, and a rock stratum mechanical analysis model is established in combination with physical and mechanical parameters; inputting construction parameters and process information, activating unit nodes in sequence, and solving a force balance equation to simulate stress distribution; identifying a potential deformation area through iterative calculation, and adjusting boundary conditions to predict a deformation trend; the three-dimensional space distribution cloud atlas, the time evolution curve and the position marks are fused to generate multi-view deformation early warning information, the accuracy and the visualization degree of tunnel rock stratum deformation analysis are improved, and support is provided for construction safety.

The invention discloses a heterogeneous road structure cavity disease inspection method, device and equipment and a storage medium, and the method comprises the steps: constructing a highly-simulated heterogeneous road structure model, and adaptively generating an irregular cavity disease meeting the horizon geometric constraint; the problems that electromagnetic wave reflection simulation is distorted due to the fact that a traditional homogeneous simplified model cannot reflect dielectric mutation between aggregate and a cementing material, and a regularized cavity form does not conform to a real stress distribution expansion mode are solved. According to the method, radar forward modeling simulation data containing complex heterogeneous backgrounds and randomly-shaped holes can be automatically generated in batches, a rich, real and diversified training data set is provided for intelligent identification of road internal diseases based on deep learning, and the bottleneck problem of lack of real disease radar image data is relieved.

The present application relates to the technical field of mold structure design. Disclosed are a mold structure design optimization method and apparatus. The method comprises: performing parametric modeling on a three-dimensional model of a laser cutting die to obtain an adjustable parameter set; performing cutting die geometric feature extraction and feature classification to obtain a feature classification result; performing adaptive multi-scale mesh division to obtain a multi-scale finite element analysis model; performing multi-physics coupling analysis to obtain stress distribution data, deformation data and temperature field distribution data; performing variance analysis to obtain target impact parameters, and, on the basis of the target impact parameters, constructing a multi-objective optimization model; by means of a non-dominated sorting genetic algorithm, solving the multi-objective optimization model to obtain a Pareto optimal solution set; and determining, from the Pareto optimal solution set, target optimization structural parameters of the laser cutting die, thereby improving the optimization efficiency while ensuring the calculation accuracy, and achieving the overall performance improvement of the laser cutting die.

The invention discloses a mine roadway deformation data real-time analysis system based on edge calculation, which relates to the technical field of intelligent sensing and data analysis fusion, and comprises a data acquisition module for acquiring roadway deformation initial data through a sensor, simulating a deformation field evolution process by adopting a finite element analysis method, and analyzing the deformation field evolution process; the feature extraction module is used for extracting key stress distribution parameters from the non-uniform field distribution features, if the parameters exceed a preset threshold value, the key stress distribution parameters are marked as a risk concentration area, a monitoring position candidate set is determined, and the signal quality evaluation module is used for evaluating the monitoring position candidate set according to the monitoring position candidate set. Acquiring a signal-to-noise ratio and an integrity data quality index of a sensor signal, and performing priority grouping on the monitoring points through a clustering algorithm to obtain a dynamic priority evaluation result; according to the mine roadway deformation data real-time analysis system based on edge calculation, intelligence, real-time performance and high reliability of mine roadway deformation monitoring are achieved.

The invention provides a data processing method and system based on intelligent construction, and relates to the technical field of intelligent construction.The method comprises the steps that viscosity, a temperature peak value, temperature and humidity and time delay distortion data in the solidification stage are collected in real time in the concrete pouring construction process, and a material stress relaxation model is constructed to calculate three-dimensional stress distribution; meanwhile, mapping sound wave time delay distortion data into a spatial topological graph, and extracting propagation anomaly features by using a space-time graph convolutional network; and generating a crack risk distribution diagram by fusing stress distribution and abnormal characteristics, and finally, accurately positioning a potential defect area according to risk gradient change. The early warning capability of concrete construction quality defects is improved.

The invention provides a special-shaped air film hole thermal mechanical fatigue simulation part design method, which comprises the following steps of: 1, analyzing the strength and the service life of a turbine blade, and identifying a key part of the service life of a special-shaped air film hole; 2, determining that the thermal mechanical fatigue simulation piece is of a hollow structure; 3, parameters of a clamping part of the hollow simulation piece are stipulated; 4, determining the mechanical stress of the key part through three-dimensional finite element simulation of the turbine blade; 5, verifying the included angle between the principal stress direction and the growth direction of the key part of the simulation part; step 6, measuring stress by using a strain gauge under a normal-temperature initial mechanical load, and verifying whether the load is compliant or not; 7, performing three-dimensional finite element simulation analysis on the temperature field of the test piece and calculating thermal stress; 8, controlling the thermal stress distribution of the section of the simulation piece by controlling the temperature distribution; step 9, when cooling gas is introduced into the inner cavity of the special-shaped gas film hole simulation piece, carrying out a thermal mechanical fatigue test by adopting an in-phase mechanical-temperature load; and step 10, optimizing the structure of the special-shaped gas film hole and analyzing the strength.

The invention provides a wire harness crimping quality intelligent detection and self-adaptive control method and system, and the method comprises the steps: calculating a stress distribution value of a crimping point through the obtained internal metal flow distribution characteristics in combination with a mechanical strength simulation algorithm, and obtaining a mechanical strength evaluation index; if the mechanical strength evaluation index is lower than a preset threshold value, triggering an alarm signal, extracting deviation type data from the alarm signal, and judging a quality judgment result; generating a feedback control instruction according to the judged quality judgment result, transmitting the feedback control instruction to crimping equipment to adjust crimping force parameters, and obtaining optimized crimping process data; updating a real-time monitoring database by adopting the obtained optimized crimping process data, and determining a geometric parameter reference value of a subsequent crimping batch; and matching the determined geometric parameter reference value with a vehicle safety requirement to obtain a final quality verification report.

The invention discloses a ship shafting reliability evaluation method and system based on multiple working conditions, and the method comprises the steps: collecting multi-source data of a ship propulsion system through integrating multiple sensors; constructing a dynamic load spectrum based on a time-varying Copula function in combination with parameters such as a stress distribution function and a degradation amount distribution function; a reduced basis finite element method is adopted, experimental strain data are collected, and a reduced-order basis matrix is constructed; based on a three-stage Wiener degradation model, in combination with parameters such as a material degradation rate, activation energy and a temperature average value, the residual life of the ship propulsion system is predicted, and model parameters are adjusted in real time through a Bayesian dynamic updating mechanism; building Hamiltonian through physical constraint reinforcement learning, and optimizing operation parameters of the ship propulsion system in combination with a fault probability threshold value and an energy change rate threshold value; a digital twin engine is utilized to provide real-time visual output. According to the invention, the service life is prolonged to the greatest extent while the system meets the performance requirements; and monitoring and decision making by operators are facilitated.

The invention discloses a welding slag ladle for containing copper slag and a design method. The welding slag ladle is suitable for containing, cooling and inverted placing procedures of high-temperature copper slag. The cinder ladle comprises a cylinder body, a ladle bottom, rib plates, trunnions and supporting legs, the cylinder body and the ladle bottom are formed by welding high-temperature-resistant and high-strength rolled plates, the thickness of the cylinder body is 70-100 mm, and the thickness of the ladle bottom is 80-120 mm; setting an inclination angle beta of 11.5-21 degrees relative to the center line of the bus of the cylinder body, and controlling the roughness of the inner wall to be less than or equal to 12.5 microns so as to reduce the separation resistance after the copper slag is cooled; thickness combination, stress distribution, deformation and rib plate arrangement are optimized through structural mechanical simulation, and it is ensured that the structural strength meets the requirements under high temperature and thermal cycle loads; full penetration weld joints are adopted, nondestructive testing is carried out, and the welding reliability is guaranteed; compared with a traditional casting cinder ladle, the mass of the cinder ladle is reduced by 10%-15%, the deslagging efficiency is improved, the service life is prolonged to more than two times of the original service life, and the cinder ladle has the advantages of being light in structure, high in bearing capacity, high in deformation resistance and good in maintainability.

The invention belongs to the technical field of tire engineering design, and discloses an engineering tire belted layer end structure finite element design analysis method and system. Comprising the steps of obtaining and preprocessing tire carcass contour data and initial belted layer parameters, conducting belted layer end parametric modeling on the basis of a standardized tire geometric model, constructing a durability finite element analysis model to obtain a stress-strain distribution field, conducting multi-parameter sensitivity analysis to determine a key influence factor weight matrix, and obtaining a stress-strain distribution field. And optimally designing a belted layer end structure based on the matrix, and finally performing durability verification and evaluation. According to the method, through accurate geometric expression, flexible parametric modeling, accurate performance analysis and multi-objective optimization design, belted layer end stress distribution uniformization and structural rigidity optimization are achieved.

The invention provides a BIM-fused port infrastructure digital twinborn operation and maintenance management system and method. The method comprises the steps of collecting a port infrastructure BIM full-life-cycle multi-source heterogeneous data set, constructing a port infrastructure real-time three-dimensional digital twinborn body, constructing an equipment health prediction model and generating a fault diagnosis result; simulating tide influence to form a stress distribution prediction result; a three-level linkage optimization model is constructed, a scheduling scheme is generated, a multi-energy collaborative optimization engine optimization scheme is used, a three-dimensional safety matrix is constructed through unmanned aerial vehicle inspection and visual recognition, risks are monitored in real time, and safety early warning is generated. The prediction model is constructed, faults are accurately diagnosed, the tide influence is quantified, and the prediction precision is improved; multi-target collaborative optimization is realized through a linkage optimization model and an engine, and the problem of single-target optimization is solved; and on the basis of a monitoring and early warning system, rapid identification and hierarchical response are realized, a closed-loop link is formed, and the port operation and maintenance adaptability is improved.

The invention discloses a method for predicting interlayer pressure stress of a multilayer composite circuit board, which comprises the following steps of: embedding temperature, strain and ultrasonic defect sensors in a multilayer interface of laminating equipment, acquiring multi-modal time sequence data in real time, and constructing a uniform characteristic space by using data preprocessing methods such as normalization and time sequence alignment; in combination with process parameter control, multi-modal time sequence coding and a causal attention mechanism are adopted, and interpretation of process key nodes on interface stress dynamic evolution and hot spot region identification are achieved; according to historical stress distribution, a threshold value is dynamically set, local cooling or flexible pressure compensation is triggered in a closed loop mode, active regulation and control of interface stress are achieved, model parameters are optimized through continuous online learning, the stability of the manufacturing process and the product yield can be effectively improved, and the intelligent regulation and control capacity of the technology is enhanced.

The invention relates to the technical field of engineering monitoring, in particular to a bridge structure state monitoring method and system based on digital twinning, and the method comprises the steps: building a multi-source monitoring data matrix based on a data timestamp; establishing a geometric model, a material attribute model and a load model of a bridge structure based on the multi-source monitoring data matrix, and fusing to obtain a bridge digital twin initial model; and carrying out structural mechanical analysis based on the bridge digital twin initial model to obtain stress distribution data of each region of the bridge. Through real-time acquisition and analysis of multi-source monitoring data, the method can dynamically evaluate the structural state of the bridge and timely identify potential safety hazards, so that the safety of the bridge is improved; and through calibration of the initial model, the obtained digital twin precise model reflects the real state of the bridge, and a more accurate data basis is provided for subsequent structural analysis.

The invention discloses a BIM (Building Information Modeling) and real-time monitoring-based cylindrical pier cast-in-place cantilever variable cross-section continuous beam bridge construction early warning system and method, and relates to the technical field of construction early warning. According to the system, alignment and noise reduction are carried out on monitoring data through BIM constrained drift correction, a curvature sequence and an acceleration sequence are obtained, an energy response index and an energy characteristic index are extracted, and a space-time distribution matrix is formed. And identifying a curvature deviation development trend by using a time sequence prediction model, and dynamically evaluating structural stress distribution and a deformation state in combination with finite element analysis. When the deviation value or the stress result exceeds a multi-level threshold value, finite element reanalysis is triggered for correction. And the decision execution module judges the real-time safety level and generates an early warning signal by integrating the monitoring characteristics and the simulation result based on a robust intelligent identification model subjected to ring loss regularization training. The method can improve the monitoring precision and robustness of the construction stage, and achieves the real-time, foresight and closed-loop management and control of the structure safety.

The invention relates to the technical field of intelligent manufacturing and precision machining, and discloses a skylight guide rail clamp clamping force intelligent regulation and control method and system.The skylight guide rail clamp clamping force intelligent regulation and control method comprises the steps that multi-dimensional sensing data of a skylight guide rail clamp is obtained and preprocessed; acquiring a force displacement data pair and identifying a flexibility coefficient of the guide rail; the elasticity modulus is inversely calculated through the flexibility coefficient, and temperature correction is carried out; calculating theoretical stress distribution and a displacement field, and fusing and correcting the theoretical stress distribution and the displacement field with measured data of the sensor; evaluating stress safety, deformation stability and vibration stability; the current clamping force distribution is adjusted; the clamping force adjustment amount is calculated and converted into a control instruction for adjustment, the guide rail is machined, and quality detection is conducted; updating the quality prediction model, predicting tool wear and calculating compensation; according to the invention, through an online learning and adaptive optimization mechanism, the system can continuously learn and evolve and automatically adapt to changes of production conditions.

The invention discloses an aircraft skin assembly control method and system, and the method comprises the following steps: segmenting a skin and a frame from an image based on a skin surface image through employing a deep learning segmentation model; registering and splicing the images captured by different spectrum cameras to obtain a complete skin image; based on the complete skin image, using a region expansion method to identify and track a skin surface deformation region; preprocessing the original skin model through a finite element method to obtain a corresponding grid model; estimating stress distribution in the current assembly state based on the force haptic image and a stress transfer model; and based on the deformation area and the stress distribution, generating an assembly path and a pressure adjustment instruction by adopting a self-adaptive control strategy, and controlling the assembly process. Through fusion of a multispectral vision technology and a high-precision force tactile perception technology and combination of a deep learning algorithm and a nonlinear mechanical model, accurate identification of skin surface features and accurate positioning of a deformation area are realized, and the assembly control precision is improved.

The invention discloses a transient-time varying-based transformer anti-short circuit capability dynamic checking method and system. According to the method, a high-fidelity digital twinborn model is established by constructing a four-layer database comprising a foundation, a material, a structure and operation parameters. And performing transient electromagnetic-structure coupling simulation by using the reconstructed real short-circuit current waveform driving model to obtain transient electromagnetic force, dynamic deformation and stress distribution prediction results under short-circuit impact. Meanwhile, a multi-axis degradation model covering mechanical, electrical and thermal dimensions is constructed, long-term evolution of equipment is quantified, conventional working conditions are converted into equivalent short-circuit impact times, and a comprehensive capability index is calculated. Finally, the transient impact risk and the long-term degradation degree are coupled, a four-quadrant risk assessment matrix is constructed, a comprehensive risk quantitative index is calculated, and dynamic grading and accurate positioning of the overall risk state of the transformer are achieved. According to the method, the problems of isolated island and single risk dimension of traditional static check information are solved.

A diesel engine crankshaft residual stress and deformation relation prediction method belongs to the technical field of internal combustion engine key component manufacturing. The method comprises the steps of dynamically correcting a finite element model through multi-stage measured data, performing high-precision reconstruction of a crankshaft residual stress field, establishing a quantitative relation between stress distribution and deformation, and combining numerical simulation and response surface method optimization to realize high-precision residual stress distribution prediction. And further analyzing the release and redistribution rules of the residual stress in the material removal process. Residual stress distribution is actively controlled to prolong fatigue life, and stable production of high-precision and long-life crankshafts is ensured. The grinding feeding rate is reduced through active control over residual stress in the grinding process so that the tensile stress peak value in the layer depth direction can be reduced, and meanwhile it is guaranteed that the surface roughness is within a proper interval. A gradient cooling strategy is adopted, the cooling liquid flow is increased in the initial grinding stage, and surface layer thermal stress accumulation is restrained. And the grinding wheel linear speed is controlled, and grinding efficiency and residual stress inhibition requirements are balanced.

The invention relates to a lithium ion battery multilayer metal foil and dissimilar metal connection optimization method in the technical field of new energy, and the method comprises the following steps: constructing a geometric model of multilayer metal foil and dissimilar metal connection by adopting a finite element simulation method according to initial interface bonding parameters, and applying a preset load condition in a simulation environment, determining an atomic-scale combined stress distribution diagram; for a heat balance state formed by metallurgical bonding, quantitative indexes, including shear strength and tensile strength, of connection point strength are extracted from a finite element simulation result, and a preliminary optimization data set of high-energy-density battery connection is obtained; and outputting a final metallurgical bonding formation parameter set according to a judgment result of a connection point strength stability threshold value, and applying the final metallurgical bonding formation parameter set to simulation verification of multi-layer metal foil connection so as to obtain an interface optimization scheme for improving the battery performance.

The invention discloses a method for regulating and controlling residual stress of a metal material, and relates to the field of metal materials, in the method, on one hand, a multi-energy-field coupling simulation system performs simulation based on initial regulation and control parameters, simulates stress distribution of the material under set service conditions, and determines optimal regulation and control parameters through an optimization algorithm; on the other hand, the stress regulation and control digital virtual model plans the path according to the optimal regulation and control parameters, and motion simulation is carried out to verify the feasibility of the path. Only when the simulation result meets the preset regulation and control target, the final regulation and control path and parameters are transmitted to the stress regulation and control execution device for actual operation. The double verification mechanism ensures the accuracy and reliability of stress regulation and control, and effectively avoids regulation and control failure caused by single link error, thereby remarkably improving the effect and efficiency of regulating and controlling the residual stress of the metal material.

The invention discloses a steel tower stress analysis method based on twinborn simulation, which relates to the technical field of structural mechanics simulation and comprises the following steps: constructing a high-precision simulation layer and a rapid calculation layer according to structural parameters and material parameters of a steel tower; inputting a preset multi-field environment condition and structure state combination into the high-precision simulation layer to generate a stress response result, extracting stress mode features, and generating a multi-field stress mode feature library; steel tower structure response data and environment data are collected and preprocessed to form observation vectors, the observation vectors are compared and matched with the multi-field stress mode feature library, and target stress mode features and corresponding simulation configuration parameters are generated; and inputting the target stress mode characteristics, the simulation configuration parameters and the observation vectors into a rapid calculation layer to carry out twinborn simulation calculation, and generating a stress distribution data set and a response index set. According to the method, the multi-field stress mode feature library is constructed, so that the problems of high computing resource consumption and incapability of effectively utilizing historical data are solved, and the computing efficiency is improved.

The invention discloses a twelve-beam six-dimensional force sensor, and relates to the technical field of force sensing. The sensor effectively solves the problem of coupling interference in six-dimensional force measurement by optimizing the structural design of the elastic body, innovating the bridging mode of the strain gauges and accurately positioning the patches, and improves the measurement precision and stability. The sensor is of a twelve-beam elastomer structure, stress distribution under different loads is analyzed through COMSOL finite element simulation software, and the position of a strain sensitive area is determined; a group bridge circuit is designed through tension and compression strain characteristics of the symmetrical strain beams, and decoupling is achieved from the hardware level; mEMS silicon strain gauges are selected and accurately assembled, so that the measurement error is further reduced. Experimental data show that the crosstalk rate of the sensor under loads of all dimensions is as low as 2%, net output signals are stable, and the sensor can be widely applied to the fields of robots, precision manufacturing, aerospace and the like with high requirements on force measurement precision.

The invention provides a shot peening process parameter optimization and generation method and device, equipment and a storage medium. The shot peening process parameter optimization method of a thin-wall component comprises the steps that initial state data of the thin-wall component is obtained; generating a multilayer constitutive model; initial shot blasting process parameters are obtained; a geometric model after shot blasting and residual stress distribution data after shot blasting are predicted through shot blasting simulation; shot blasting forming efficiency is obtained according to the initial shot blasting process parameters; the residual stress gradient uniformity is obtained according to the residual stress distribution data after shot blasting; and optimal shot blasting process parameters are obtained through multi-objective optimization. According to the shot peening process parameter optimization and generation method and device, the equipment and the storage medium, the shot peening forming efficiency and the stress distribution uniformity can be both considered.

The invention relates to the technical field of warehousing of bulk grains in a horizontal warehouse, discloses a warehousing method and system for bulk grains in a horizontal warehouse, and aims to solve the problems of uneven accumulation, potential safety hazards and low efficiency in an existing method. A three-dimensional warehouse body coordinate system is constructed through multi-dimensional analysis, and spatial density distribution is simulated; establishing a dynamic accumulation model based on density data to simulate a spatial-temporal trajectory, calculating acting force among particles through finite element analysis to obtain stress distribution, and constructing a stability evaluation system; the impurity rate is corrected through a coupling model by utilizing environment parameters of the internet of things, and a stability evaluation result is dynamically compensated by adopting a multi-factor matrix; a deep reinforcement learning algorithm is applied to optimize a control strategy, an intelligent model is deployed at an edge node, and a joint control automation system realizes closed-loop management. According to the bulk grain warehousing device, the uniformity, stability and efficiency of bulk grain warehousing operation are improved.

The invention belongs to the technical field of intelligent manufacturing and digital twinning, and discloses a machine tool spindle angular contact ball bearing stress field digital twinning modeling method based on a graph neural network, and the method comprises the steps: firstly building a finite element analysis model, and generating a multi-working-condition stress sample set; secondly, a mixed graph structure is constructed based on the grid topology and the surface k neighbor relation, and node geometric features and region labels are generated; then stress field shape-amplitude decoupling is implemented, and a stress field is decomposed into a normalized shape field and an amplitude scalar; constructing and training a dual-branch architecture shape prediction map neural network model and an amplitude regression model again, wherein a key area mask and a continuous weight are introduced into the shape model to enhance the prediction precision of the contact area; and finally, quickly predicting an amplitude and a shape field by using the model, and reconstructing full-field stress distribution. According to the method, the prediction efficiency and the prediction accuracy of a high-stress area are remarkably improved while finite element-level geometric accuracy is kept, and the method is suitable for rapid evaluation and digital twinning application of the machine tool spindle bearing.

The invention, which relates to the technical field of information, discloses a BIM and MARL-fused complex structure steel bar intelligent arrangement system comprising a data acquisition module, a three-dimensional modeling module, a feature processing module, a scheme generation module, a scheme optimization module and a scheme output module. The data acquisition module extracts geometric and stress data of the BIM, and a final data set is obtained after preprocessing; the three-dimensional modeling module constructs a three-dimensional structure model through geometric analysis, optimization and standardization algorithms; the feature processing module calculates stress distribution and performs dimension reduction on a feature set; the scheme generation module generates an initial arrangement scheme set through a genetic algorithm; the scheme optimization module obtains a global coordination scheme set through multi-algorithm collaborative optimization; and the scheme output module generates a three-dimensional visual model and BIM compatible arrangement data. According to the method, the problem of arrangement of the reinforcing steel bars with complex structures is solved, and the accuracy and the engineering adaptability of reinforcing steel bar arrangement are improved.

The invention relates to a geomechanical data visualization method, device and equipment and a medium thereof. The method comprises the following steps: acquiring original data containing rock mass structural characteristics and temperature and humidity environmental parameters, and completing grid division and load and displacement constraint boundary condition setting by adopting finite element analysis to obtain a rock mass stress distribution model; core mechanical parameter evolution of rock mass at different time nodes is simulated based on the model, and a dynamic stress distribution sequence is generated; identifying and marking stress overrun potential event association points through a threshold value, extracting a key time-space change trend, and inputting the key time-space change trend into the time-space dynamic model to obtain a risk prediction distribution diagram containing a risk level, a coverage range and an occurrence probability; and constructing a three-dimensional dynamic view by adopting visual rendering, analyzing a mechanical parameter full-cycle evolution path and geological event association mode, and outputting a three-dimensional dynamic result integrating multi-dimensional information. According to the method, the problems of static data presentation and event association deficiency in the traditional technology can be solved, and the scientificity and the high efficiency of geological engineering analysis are improved.

The invention relates to the technical field of manufacturing of metal pressing parts, in particular to an efficient forging control method, equipment and system for a high-precision gear shaft, and solves the technical problem that in the prior art, due to the regional difference of material flow and stress distribution, the temperatures of different regions of a shaft body are not uniform in the forging process. The method comprises the steps that vibration time sequence data of the gear shaft in the forging process and temperature time sequence data of multiple positions are collected; according to the temperature time sequence data of the multiple positions, the temperature distribution confusion degree of the gear shaft at each moment is determined; according to the vibration time sequence data, the striking strength sequence of the gear shaft in the forging process is determined; according to the temperature distribution confusion degree and the time sequence change of the strike intensity sequence, the influence degree of strike at each moment on the temperature distribution confusion degree is determined; and according to the temperature distribution chaos degree and the influence degree of each moment, the temperature control coefficient of each moment is determined, and temperature control is conducted on the forging process according to the temperature control coefficients.

The invention provides an ultra-thin wing anti-bending performance quantitative evaluation method which comprises the following steps: acquiring geometric parameters and material characteristic data of an ultra-thin wing, constructing a digital twin model by adopting a finite element analysis method, and simulating stress distribution under boundary conditions to obtain initial mechanical response characteristics; the obtained risk assessment matrix is adopted to calibrate the limitation of a static test, and boundary condition constraints are fused to obtain a calibrated anti-bending energy index set; constructing an evaluation framework of a quantitative system through the calibrated anti-bending energy index set, classifying performance levels in different load scenes by adopting a support vector machine algorithm, and determining an overall structure reliability score; and iteratively updating the parameter setting of the digital twin model according to the obtained anti-bending performance improvement scheme, simulating the optimized flight performance, and obtaining the final quantitative evaluation system output.

The invention discloses a modeling method, device and equipment for a sling lifting net blocking system and a storage medium. The method comprises the following steps: acquiring working state parameters of a bearing cable under the overhead line crossing construction working condition, and determining an initial bearing cable curve based on a catenary formula, boundary conditions of suspension points on two sides of the bearing cable and the working state parameters of the bearing cable; constructing a finite element analysis model based on the initial bearing cable curve, and determining stress distribution data and deformation data of the bearing cable based on the finite element model; and under the condition that the stress distribution data and the deformation data meet preset engineering requirements, determining the finite element analysis model as a target mechanical analysis model. The technical effects of accurately simulating the stress and deformation of the bearing cable and guaranteeing the construction safety are achieved.