2459 results about "Finite elemente analyse" patented technology

The invention discloses a numerical control machine tool operation control system and a double-station sawing and drilling integrated machine tool, and relates to the technical field of numerical control machine tool operation. A multi-axis linkage state, a gas cylinder stress state, vibration frequency, cutting force and deformation data are acquired in real time through a data acquisition module; the dynamic modeling module constructs a digital twinborn model by using finite element analysis and real-time sensing data, and accurately simulates stress dynamic change and deformation trend; the intelligent error compensation module dynamically evaluates the multi-axis linkage precision by analyzing the machining data, generates an error compensation instruction and optimizes the operation parameters of the machine tool; the closed-loop feedback control module adjusts the cutting speed, the feeding depth and the clamping force in real time through a fuzzy logic algorithm, a closed-loop adjusting mechanism is formed, the machining precision and stability are greatly improved, the machining error and the workpiece surface damage risk are reduced, and the machining quality and efficiency of complex workpieces are effectively improved.

The present application relates to the field of wire laying control technology, and discloses a composite material automatic wire laying forming optimization method, system, medium and wire laying machine. The method comprises: inputting dynamic tension control data into a fuzzy neural network calculation engine to obtain a dynamic compensation model for the retraction and release speed; based on the dynamic compensation model for the retraction and release speed, using a reinforcement learning engine to calculate the shearing sequence of multiple bundles and generate an intelligent shearing instruction set; constructing a re-delivery trajectory mapping relationship based on the intelligent shearing instruction set, and forming a re-delivery path matrix after iterative calculation by a digital twin engine; establishing a temperature field distribution prediction model based on the re-delivery path matrix, and constructing a temperature field dynamic control sequence after finite element analysis and calculation; substituting the temperature field dynamic control sequence into a multi-objective constraint equation, and outputting a laying strategy data packet after deep reinforcement learning iterative optimization. The present application realizes the precise coordination of multiple process parameters such as tension control, speed compensation, shear control, and temperature control.

The present invention relates to the technical field of power transmission conductor galloping, and in particular to a method for solving a conductor galloping trajectory equation of a high-voltage transmission line. The method comprises the following steps: establishing a coordinate system; analyzing a nonlinear motion of any point on a conductor; solving a conductor galloping trajectory equation; solving a torsion angle and an acceleration under an arc length constraint; and carrying out convex optimization on an analytic expression of the torsion angle. According to the present invention, an inter-station RTK differential mode is used, and Beidou observation data analyzed by a monitoring station and Beidou observation data analyzed by a reference station are combined, thereby improving the accuracy of a monitoring result; a finite element analysis method is used to carry out discretization processing on the problem of conductor motion integral, so that conductor displacement can be effectively restored to obtain a good curve fitting effect; and a calculation method for the torsion angle under the limitation of the arc length of the conductor is provided, overcoming the error of calculating a trajectory integral by using the acceleration, and an optimized calculation method is provided.

The invention provides a bridge structure fatigue crack propagation prediction method and system, and relates to the technical field of artificial intelligence. According to the method, structural parameter information of a bridge is collected, a three-dimensional model of the bridge structure is established through finite element analysis, and a fatigue crack propagation prediction model is established based on the fracture mechanics theory and a fatigue damage accumulation model; performing expansion simulation on preset cracks in the three-dimensional model of the bridge structure, calculating a crack expansion rate and predicting a crack expansion path, correcting a crack expansion simulation result in combination with an actual working environment and a load condition of the bridge structure, and calculating a crack expansion simulation result according to the corrected crack expansion simulation result. And predicting crack propagation information of the bridge structure in the preset time period. The method can accurately predict the expansion path, rate and future state of the crack under a complex working condition, thereby providing a scientific basis for maintenance and repair of the bridge, realizing real-time feedback and dynamic adjustment, ensuring high efficiency and accuracy of a prediction result, and providing a scientific basis for maintenance management of the bridge.

The invention discloses a multi-granularity multi-dimensional power transmission and transformation equipment digital twinning mechanism method and system, and relates to the technical field of power transmission and transformation equipment digital modeling, and the method comprises the steps: collecting multi-dimensional physical field data, and carrying out the preprocessing; constructing a layered multi-physics field coupling model; carrying out integration and parameter adjustment on the output of the layered multi-physics field coupling model to form a unified multi-physics field coupling model; and performing simultaneous analysis on multiple physical fields to complete dynamic simulation and fault prediction. By improving the finite element analysis method and the hierarchical multi-physics field modeling technology, the technical problem that the operation state of the power transmission and transformation equipment in a complex multi-physics field coupling environment is difficult to accurately monitor and predict the fault in real time is technically solved, and the effects of improving the monitoring precision and enhancing the fault diagnosis real-time performance and the prediction accuracy are achieved.

The present invention relates to the technical field of heat sink structure design, and in particular to a micro-channel heat sink structure design method based on a multi-objective function. The method comprises the following specific steps: S1, constructing a general mathematical description of a topology optimization problem; S2, acquiring input conditions for a specific design scenario, and dividing a topology optimization design domain; S3, establishing a governing equation for a topology optimization model; S4, on the basis of an adjoint method, performing sensitivity analysis of a multi-objective function with respect to design variables; S5, solving the topology optimization model by means of a method of moving asymptotes (MMA); S6, obtaining a two-dimensional flow channel configuration of a heat sink on the basis of contour reconstruction, carrying out finite element analysis of a two-dimensional flow channel structure, and narrowing down the selection range of constraint conditions; and S7, on the basis of a two-dimensional finite element analysis result, constructing a corresponding pseudo-three-dimensional model, carrying out finite element analysis, and determining optimal constraint conditions to obtain a final topology-optimized heat sink configuration. Compared with traditional methods, the present invention can more efficiently solve the problem in respect of heat sink structure optimization under different scenarios.

The invention provides a method for evaluating the grouting water control effect of an underground water-sealed cave depot project. The method comprises the steps that firstly, grouting and geological parameters and hydrological monitoring data of a project area are obtained; establishing a three-dimensional seepage-grouting coupling model, and simulating the dynamic state of a seepage field by using a finite element analysis algorithm; then calculating the equivalent permeability change rate of the grouting affected zone based on a simulation result; constructing an evaluation index system, and performing quantitative evaluation by using a fuzzy comprehensive evaluation algorithm; and finally, generating a grouting parameter dynamic adjustment scheme according to an evaluation result. According to the method, scientific and accurate evaluation and engineering optimization of the grouting water control effect can be achieved, and the safety and economical efficiency of engineering are improved.

The present invention relates to the technical field of mechanical property testing and characterization. Disclosed are a method and apparatus for calculating a crack propagation life of an engine structure in vibration fatigue, which method and apparatus aim to obtain reliable fracture mechanics parameters and a crack propagation rate curve and provide an accurately quantified crack propagation life, so as to provide methodological guidance for the life assessment of reusable engines. The calculation method comprises: acquiring a time-domain random stress spectrum of stress responses in an assessment section in a finite element model of an engine structure; on the basis of the time-domain random stress spectrum, performing finite element analysis processing on a crack model of the engine structure, so as to determine fracture mechanics parameters of a cracked structure; performing a vibration fatigue performance test on a crack propagation rate model, which is set up according to a preset crack propagation mode, and determining, by using parameter identification, a target parameter value corresponding to the crack propagation rate model; and in combination with the parameter value corresponding to the crack propagation rate model and a preset critical crack length value, performing crack propagation life calculation, so as to obtain a target crack propagation life.

The invention provides a multi-sealing method and system for a high-vacuum die-casting die based on topological optimization, and relates to the technical field of die structures.The multi-sealing method comprises the steps that a sealing structure parameterized model is established, geometric parameters and boundary conditions of a cavity wall face are obtained, an initial design domain is constructed, and grid units are divided; carrying out topological optimization calculation based on a multi-objective function considering contact stress distribution, and iteratively optimizing the relative density of grid cells by adopting an SIMP method; and according to the obtained topological configuration of the sealing structure, multiple sealing structure design is carried out, a three-dimensional entity model is constructed, and the sealing performance is verified through finite element analysis.

The invention discloses a digital twinning-based major engineering construction safety active control method, system and equipment, and belongs to the technical field of construction active control. The problems of low safety risk identification efficiency and inaccurate risk control means in the major engineering construction process are solved, major engineering construction site environment and structural feature data are obtained through space-air-ground-water multi-way intelligent means and equipment, a digital twinborn model of a real-time mapping construction site is established, and the safety risk identification efficiency of the major engineering construction site is improved. Correcting the digital twinborn model by using real-time data; a digital twinborn model is used as a basic model of finite element analysis, mechanical properties of different construction stages are analyzed, dynamic early warning is performed on an analysis result in combination with real-time data, a safety risk derivation model is established to perform real-time analysis on key problems such as a risk point location, a risk influence range and risk derivation prediction in the digital twinborn model, and the safety risk derivation prediction result is obtained. Data support is provided for engineering safety active control, an active control strategy model is established, a control strategy is output to a servo control device according to risk information, strategy dynamic adjustment is performed according to a real-time effect, and high-precision cooperative control of major engineering safety monitoring is realized.

The invention provides a pipe jacking construction digital twinning optimization system and method based on high-precision physical simulation, and relates to the technical field of underground pipe network pipe jacking construction. Construction data of multiple physical entities during pipe jacking construction are collected in real time through a physical simulation engine module and then transmitted to an established digital twin model, virtual mapping synchronously updated with the construction data of the physical entities is established, and an optimization and decision module optimizes construction parameters by adopting a joint simulation algorithm fusing finite element analysis (FEA) and computational fluid dynamics (CFD), so that the construction parameters are optimized. The construction feedback module realizes automatic parameter adjustment based on PLC control according to optimized construction parameters, the analysis report module analyzes time sequence data and generates a construction efficiency evaluation report, a stress concentration area is accurately simulated, the simulation precision is improved, high synchronization of a virtual model and physics is realized, and the precision and real-time performance of system execution are improved.

The invention relates to the field of construction engineering, in particular to a roadbed construction slope displacement monitoring system based on cloud computing. A sensor network is used for collecting roadbed construction data in a roadbed, wavelet transform is used for denoising the data, a dynamic time warping algorithm in a cloud computing unit is used for aligning time sequence data in the initial roadbed construction data, and the weight of each sensor data is dynamically distributed based on an entropy weight method. A hybrid prediction model is established based on an LSTM long short-term memory network and FEA finite element analysis, a slope stress field result simulated by FEA is used as a physical constraint layer of the LSTM, an attention layer is embedded in the physical constraint layer, hyper-parameters of the initial hybrid prediction model are optimized by using a Cs-Ant improved cuckoo-ant colony combinatorial algorithm, and a slope stress field is obtained. And inputting the feature roadbed construction data into the target Cs-FEA-LSTM hybrid prediction model for prediction. The manual analysis cost is effectively reduced, and the level of roadbed engineering full-period monitoring is improved.

The invention provides a textile color consistency detection method, which comprises the following steps: acquiring spectral data of a to-be-detected product, comprehensively scanning the surface of the product through multispectral imaging, and performing noise reduction and enhancement processing on scanning data by adopting an image processing algorithm to obtain high-precision color difference detection data; according to the optimal dyeing process parameters and the pretreatment scheme, numerical simulation is adopted to simulate the dyeing process, the diffusion process of the dye in the fiber is calculated through finite element analysis, and a dyeing uniformity prediction result is obtained; and comparing the prediction result with a color fastness test standard, judging whether the dyed fabric can meet the product quality requirement or not, if so, warehousing the batch of products, and if not, feeding back the prediction result to a dyeing process control system, and carrying out the next round of optimization iteration until the product quality requirement is met.

The present application relates to the technical field of seismic performance evaluation for building structures, and in particular to a BIM-based system and method for evaluating the seismic performance of a building structure. The method comprises: acquiring BIM data of a target building structure, and extracting geometric features and material properties thereof; on the basis of the geometric features and the material properties, generating a finite element analysis model under multiple load cases; performing dynamic response simulation on the finite element analysis model to obtain key performance indicators under the load cases; and on the basis of the key performance indicators combined with preset evaluation criteria, outputting an evaluation result of the seismic performance of the building structure. The present application can improve the automation level, application scope and accuracy of seismic performance evaluation, and also realizes the comprehensive analysis of complex building structures.

The invention discloses a bridge structure optimization method based on BIM and a finite element method, and relates to the technical field of bridge structure optimization. According to the method, the finite element analysis model can be more accurately established, and the design precision is improved. Through finite element analysis and a digital simulation technology, structure response data is rapidly obtained, and design optimization is accelerated; the optimization of the final scheme is ensured by a multi-iteration optimization strategy, the extreme load response is predicted by introducing a machine learning algorithm, a high-risk area is identified in advance, and the overall performance is improved; based on a multi-scale analysis method, the durability and safety of the structure are comprehensively evaluated, weak links are identified, and long-term performance is guaranteed; meanwhile, the influence of environmental factors on material characteristics is considered, adjustment is performed according to climate data, the design scheme is closer to the actual environment, and durability is enhanced.

The invention provides an intelligent grabbing control method and system based on tactile perception, and the method comprises the steps: obtaining a tactile feedback signal through a sensor array of a humanoid robot, carrying out the frequency domain decomposition of the signal through a Fourier transform method, and carrying out the analysis of the pressure and deformation data of each contact point on the surface of a to-be-grabbed object, calculating to obtain frequency characteristic distribution of the tactile feedback signal; if the initial estimation value of the object rigidity gradient exceeds a threshold value, performing finite element analysis on the object rigidity gradient, and combining a time domain processing result of the tactile feedback signal to obtain object rigidity gradient distribution; carrying out probability modeling on the deformation field by adopting a Bayesian inference method according to the gradient distribution of the rigidity of the object, and carrying out iterative optimization on a modeling result to obtain dynamic update parameters mapped by the deformation field; and regenerating an action sequence of the end effector of the humanoid robot based on the optimized strategy according to a trigger condition of grabbing failure detection, and determining a final grabbing control parameter.

The invention discloses a method for determining a transportation impact damage limit value of a transformer, which belongs to the technical field of transformers, and comprises the following steps: optimizing the layout of a sensor based on a vibration transmission path and a simulation result through three-dimensional modeling and finite element analysis, collecting vibration data in a transportation process in real time, and comparing and analyzing the vibration data with an impact limit value; according to the method, the transportation path and the fixing mode are optimized, a transportation path assessment report and a quality assessment report are automatically generated, the technical problem of structural damage risk assessment and optimization caused by impact damage in the transportation process of the transformer is solved, accurate modeling of the transformer structure and mechanical simulation verification in the transportation process are achieved, and the reliability of the transformer structure is improved. According to the invention, comprehensive monitoring of key parts is ensured, vibration data in the transportation process are collected in real time and are compared and analyzed with an impact limit value, instant alarm and feedback are provided, and the risk of impact damage is effectively reduced.

The invention relates to an existing building glass curtain wall operation and maintenance method and system based on a digital base. The method comprises the following steps that curtain wall vibration response data, visible light image data and three-dimensional point cloud data are obtained; based on the curtain wall vibration response data, comparing the current modal parameter with the historical modal parameter, and determining the dynamic characteristics of the curtain wall panel; identifying the curtain wall apparent damage type and the corresponding damage degree based on the visible light image data; based on the three-dimensional point cloud data, a curtain wall live-action three-dimensional point cloud model is constructed and mapped into a numerical model, a local stiffness reduction coefficient is calculated based on curtain wall panel dynamic characteristics, curtain wall apparent damage types and corresponding damage degrees, and a local stiffness matrix of a corresponding unit or node in the numerical model is corrected; and performing finite element analysis on the corrected numerical model to realize performance evaluation and deduction of the glass curtain wall. Compared with the prior art, the method has the advantages that the performance change of the glass curtain wall can be accurately and dynamically sensed and predicted, and the like.

The invention discloses a gas tank base stress finite element analysis method and system, electronic equipment and a storage medium, and the method comprises the steps that for a complex geometric structure of an LNG gas tank base, a self-adaptive mesh generation technology is adopted, a stress concentration area and stress gradient changes are comprehensively considered, refined modeling is carried out on the gas tank base, a high-quality finite element mesh model is obtained, and in the mesh generation process, the stress concentration area and the stress gradient changes are comprehensively considered; the grid density of a stress concentration area under the load effect is focused, the grid quality of the area is improved, and the stress gradient change is accurately captured; in an LNG gas tank base finite element model, key load working conditions are identified, characteristic parameters such as types, sizes, directions, frequencies and durations of typical loads such as the self weight, thermal stress and wind load of a gas tank are mainly analyzed, load-time historical curves under different working conditions are obtained through load spectrum testing, and a load combination method is adopted, so that the load-time historical curves under different working conditions are obtained. And the stress distribution rule of the gas tank base under the multi-load coupling effect is researched.

The invention discloses a spiral anchor foundation bearing effect evaluation method and system, and relates to the technical field of finite element analysis, and the method comprises the steps: building a soil body and spiral anchor finite element model, setting boundary conditions, and obtaining finite element data; according to the finite element data, a local damage variable is introduced based on a stress-strain degradation function, local shear band development is simulated, first damage data are generated, and the first damage data comprise a first stress-strain curve and a first local damage variable; layering the soil body, and optimizing the first damage data based on intra-layer constraints to obtain second damage data; calculating full-field stress, displacement and bearing capacity for effect evaluation based on a finite element solver according to the second damage data; the problem of inaccurate evaluation of the screw anchor effect caused by the nonlinear behavior and the layered heterogeneous effect of the soil body is solved.

The invention discloses a mass concrete intelligent temperature control system, and relates to the technical field of concrete temperature control, the system comprises a sensor monitoring module, a data collector, a data transmission module, a central control module, an execution mechanism and a data recording and remote monitoring module; by integrating the sensor monitoring module, the data collector, the data transmission module and the central control module, real-time monitoring and accurate analysis of key parameters in the concrete and in the construction environment are achieved, and a temperature and humidity prediction unit in the central control module can predict the temperature and humidity of the concrete by means of a finite element analysis method and a CFMH dynamic prediction formula. According to the method, the temperature and humidity trends of the concrete in different time and areas can be accurately predicted, the concrete quality problem caused by temperature and humidity fluctuation is greatly reduced, the quality stability of concrete construction is improved, a scientific and reliable decision basis is provided for constructors, the construction process is optimized, and the construction cost is reduced.

The invention relates to the field of thin-wall structure displacement field monitoring, and discloses a coupled functional unilateral inverse finite element cylindrical thin-wall structure displacement field monitoring method, which comprises the following steps of: performing discretization by adopting a four-node inverse shell unit, and arranging a sensor at a geometric center position of each unit; based on the basic mathematical model of the inverse finite element, establishing an overall pseudo-stiffness matrix and an overall pseudo-force matrix; and calculating to obtain a displacement field of the structure by solving a linear equation set formed by the overall pseudo-stiffness matrix, the overall pseudo-force matrix and the global displacement vector. According to the method, the structural displacement field is calculated by using the strain information measured at one side, and the global deformation is accurately and reversely deduced under the condition that only the local strain data is obtained by combining the advantages of finite element analysis and inverse problem solution. By optimizing local strain data solution, high cost and low efficiency of global strain measurement in a traditional method are avoided, and the method has remarkable practical advantages.

The invention belongs to the technical field of digital twinning, and discloses a hydraulic engineering-oriented digital twinning model dynamic construction and risk assessment method, which comprises the steps of dividing a hydraulic engineering into a static basic component area and a dynamic response area, accessing historical hydraulic engineering data, combining BIM and a finite element analysis technology, and carrying out dynamic construction and risk assessment on a digital twinning model. Constructing a structure model of the static basic component area and an agent model of the dynamic response area; combining the structured model with the proxy model to obtain the hydraulic digital twin; state data in the water conservancy digital twinborn body operation process are collected, and a twinborn state sequence is generated; constructing a water conservancy semantic map, and carrying out semantic binding on the water conservancy digital twin, the real-time water conservancy data and the control logic; dynamically updating a twinning state sequence when the node state of the water conservancy semantic map changes by adopting an event-driven strategy; and the response time efficiency and the emergency regulation and control capability of the water conservancy project are further improved.

The invention discloses a BIM-based high-speed rail overhead line system elastic sling and electric connection prefabrication processing method, and relates to the field of elastic sling processing, and the method comprises the steps: building a knowledge base, and building an initial elastic sling BIM model of a target project through parametric modeling; establishing an initial finite element analysis model of the target project through grid division and material attribute mapping; calculating the internal force and deformation of the elastic sling under the action of the static load by adopting an incremental iteration method; carrying out dynamic time-history analysis by adopting a direct integration method to obtain time-history curves of the elastic sling under different seismic waves; according to static and dynamic analysis results, stress-strain response of the elastic sling is extracted, and the initial elastic sling BIM model is optimized by adopting a topological optimization method with the minimum strain of the elastic sling as the target and the stress constraint of the elastic sling as the condition; and updating the finite element analysis model by using the optimized elastic sling BIM model. According to the method, the parameterized design degree of the elastic sling is improved.

The invention discloses an electromagnetic valve engineering design optimization method, and relates to the technical field of electromagnetic valve engineering design. According to the method, boundary condition parameters are clearly designed by obtaining high-pressure fluid control demand data, and an optimization constraint condition set is established, so that the design accuracy is ensured. Designing parameters are converted into optimization variables through gene coding, a fitness function is constructed through a genetic algorithm, and a solution set is generated; in a particle swarm optimization stage, design parameters are initialized to be particles, a multi-objective optimization function is defined, and a fitness function solution set is gradually optimized by utilizing an inertia weight and a group optimal guide search direction. The performance of the electromagnetic valve is verified through finite element analysis and fluid dynamics simulation, whether the control requirement is met or not is analyzed, and design parameters are finely adjusted according to the simulation result. The problems that the electromagnetic valve is insufficient in performance and unreasonable in design in the high-pressure fluid control process are effectively solved.

The invention discloses a concrete structure crack image detection method and system based on deep learning. The method comprises the following steps: acquiring a multi-view image; performing spatial alignment according to the multi-view image to obtain a matched image sequence; performing image fusion according to the matched image sequence to obtain a fused image; performing semantic segmentation based on transfer learning according to the fused image and a preset neural network model to obtain a crack mask; according to the crack mask and the fusion image, skeleton extraction is carried out, and a preliminary crack network topology is obtained; optimizing the preliminary fracture network topology to obtain a fracture network topology; carrying out finite element analysis according to preset material attributes, a stress state and a concrete structure to obtain a stress distribution cloud picture; and according to the stress distribution cloud picture and the fracture network topology, carrying out space matching to obtain a stress fracture correlation model. The method can analyze the dynamic change of the concrete crack.

The invention relates to an intelligent building damage detection method based on machine vision. The method comprises the following steps: multi-modal data acquisition; preprocessing and feature enhancement: processing the visual data and the acoustic data; damage detection: designing a material constitutive driven GAN architecture, calculating and generating stress distribution of a crack by a generator through a differentiable finite element analysis layer, performing L2 loss constraint on the stress distribution and an ABAQUS simulation result, evaluating image authenticity and physical consistency by a discriminator by adopting a double-branch structure, and outputting damage parameters in cooperation with a lightweight YOLOv8-Nano detection head; acoustics-vision depth fusion detection: aligning a potential space through a double-flow cross-modal encoder in combination with cross-modal contrast learning, and preferentially processing hidden damage by using a gating fusion unit for dynamically calculating a fusion weight through material acoustic impedance; when the visual detection confidence coefficient is smaller than a set threshold value, triggering frequency domain mutation detection and spatial positioning of the acoustic mode; and edge-cloud cooperative processing.

The invention discloses a three-dimensional finite element model generation and numerical simulation method and system for a wading engineering composite material XCT digital image, and belongs to the technical field of finite element analysis. Comprising the steps of collecting a composite material XCT image in an initial state and performing preprocessing; performing statistical analysis on the two-dimensional microstructure parameters; a virtual XCT image is generated based on the Pix2PixHD style migration network; the method comprises the following steps of: accurately segmenting each component region of a real XCT (X-ray computed tomography) image based on a Swinin-Transformer network; completing contour feature extraction and smoothing of the segmented image based on a mapping relation between pixels and nodes; constructing a space coordinate system and carrying out discrete derivation on all yarn center points of each segmented image; grid division is carried out based on a multi-material moving cube algorithm in a CGAL library, and a global cohesion unit is inserted; completing material attribute and local material direction distribution; and customizing proper boundary conditions, and carrying out numerical simulation based on a finite element method.

The invention discloses a bolt hydrogen-induced fatigue life evaluation method and system based on a Bayesian method, and relates to the field of fatigue life evaluation, and the method comprises the steps: obtaining a fatigue constitutive model of a bolt based on a material level; determining a basic fatigue characteristic curve according to the material-level-based fatigue constitutive model of the bolt and material experimental data, and performing stress analysis on a real structure of the bolt by adopting a finite element analysis method to determine a stress concentration coefficient; the fatigue constitutive model based on the material level is corrected according to the stress concentration coefficient and the hydrogen embrittlement correction function, and a corrected fatigue constitutive model is obtained; according to the corrected fatigue constitutive model, determining a nonlinear cumulative damage model by adopting a nonlinear cumulative damage theory; and optimizing the nonlinear cumulative damage model by adopting a Bayesian statistical method according to material experiment data. The method can improve the accuracy and reliability of bolt fatigue life prediction.

The invention discloses an intelligent construction method, system, equipment and medium based on a digital twin tunnel, and aims to construct a high-precision physical entity model by fusing dynamic and static data in real time through multiple types of sensors so as to improve data acquisition comprehensiveness; based on tunnel-level, soil-level and ground building-level multi-level modeling and finite element analysis, fine mechanical stability simulation is realized; multi-dimensional data features are extracted by combining a convolutional neural network algorithm, security risks are evaluated, and a reinforcement scheme is optimized through dynamic iteration; a closed-loop regulation and control mechanism of data monitoring, numerical simulation and dynamic feedback is formed by utilizing a collaborative architecture of a sensing layer, a simulation layer and a display layer, so that environmental disturbance is effectively reduced, and construction safety is guaranteed; according to the method, digital twinning, BIM, finite element analysis and deep learning are fused, real-time monitoring and intelligent optimization of the whole construction process are achieved, efficiency and safety are remarkably improved, and influences on the surrounding environment are reduced.