465 results about "Fatigue loading" patented technology

The invention belongs to the field of wind power plant grid-connected control, particularly relates to a wind power plant active power efficient distribution method considering the fatigue damage degree of fans, and aims to solve the problem that scheduling instruction power is uniformly distributed to all fans in the prior art. And the fan fault probability is increased due to the fact that the influence of power adjustment on fan fatigue damage is not considered. The method comprises the steps of fan load estimation based on stress analysis and energy conservation, low-complexity fatigue damage quantification based on an improved energy method, and construction of a multi-target optimization model with the minimum total fatigue load of a wind power plant and the most uniform fatigue load distribution between fans as targets based on a Gulin method, an entropy weight method and an improved matter element extension model. According to the method, rapid and accurate power distribution is realized, so that the fan runs in a proper state, the accumulation of fatigue damage and the risk of failure occurrence are reduced, and the overall running efficiency and economic benefit of a wind power plant are improved.

The invention relates to a multi-machine cooperative yaw control method and device considering a dynamic wind direction and a medium. The multi-machine cooperative yaw control method comprises the steps that S1, the dynamic relation between the wind direction and a wake flow area is established based on a Gaussian-curl hybrid model; s2, constructing a single-machine yaw optimization model based on model predictive control, optimizing single-machine yaw by taking maximum generating capacity of a wind power plant and reduction of fatigue load as optimization objectives, and obtaining a single-machine optimal yaw angle through rolling optimization and feedback correction; and S3, a serial optimization method is adopted to carry out multi-round iterative optimization on one fan by one fan, and an optimal multi-fan cooperative yaw control result is obtained. Compared with the prior art, the method has the advantages that higher total generating capacity and more balanced fatigue load can be realized, so that the whole wind power plant reaches the optimal state of power and load in a large range.

The invention relates to the technical field of rubber material data processing, in particular to a rubber material fatigue life prediction method based on data analysis. The method comprises the following steps: performing crack three-dimensional morphology reconstruction on a target rubber material to generate crack three-dimensional morphology data; performing material geometric model modeling on the target rubber material according to the crack three-dimensional shape data to generate an optimized rubber material geometric model; acquiring fatigue load condition data; carrying out cyclic load simulation by optimizing the rubber material geometric model based on the fatigue load condition data, and carrying out cyclic rubber fatigue characteristic analysis to obtain rubber crack fatigue characteristic data; and predicting the fatigue life of the rubber sample according to the rubber crack fatigue characteristic data to generate predicted fatigue life data. The fatigue life of the rubber material under the cyclic load is accurately predicted by analyzing the fatigue crack propagation of the rubber material.

The invention belongs to the technical field of nondestructive testing, and particularly relates to a detection method for quantitatively evaluating fatigue damage in a pipeline through a nonlinear ultrasonic technology. 316 stainless steel and SA335GRP-11 ferrite steel samples are adopted, a welding seam area is formed through V-shaped groove welding, fatigue loading is conducted, and actual pipeline fatigue damage is simulated; for the samples with different fatigue cycles, nonlinear response signals of the samples are obtained; fourier transform is carried out on the obtained signal to obtain an energy spectrum of the signal, and energy changes of the signal on a fundamental frequency band and a second harmonic frequency band are analyzed; and calculating a nonlinear coefficient, and analyzing a change rule of the nonlinear coefficient along with fatigue cycles, so that the evolution process of fatigue damage in the pipeline is evaluated. According to the method, energy is used for replacing the amplitude value, on the basis of the formula principle, integration is used for replacing the amplitude value to improve the intensity of the characterization nonlinear ultrasonic signal, the early stage of damage and the later stage of crack initiation are detected, and reliable guarantee is provided for safe operation of an industrial pipeline system.

An in-situ fretting corrosion fatigue testing machine based on synchrotron radiation diffraction and three-dimensional (3D) imaging includes an axial fatigue loading system, a fretting loading system, and a corrosion environment control system, where the axial fatigue loading system includes a driving device, a load control device, and a load sensing device; the load sensing device is configured to measure an axial force and a normal force in real time; the driving device is configured to drive the load control device, thereby achieving axial displacement of the load control device; the load control device is configured to carry out axial fatigue loading of a specimen; and the fretting loading system includes a fretting wear device. The testing machine achieves real-time 3D imaging characterization of wear spot and crack morphology of a material in a fretting corrosion environment, as well as characterization of a residual stress evolution law.

The invention relates to the technical field of seat cushion framework detection, in particular to an automobile seat cushion framework fatigue test method and system. The method comprises the following steps: acquiring information data of an automobile seat cushion framework sample; performing skeleton key part screening on the automobile cushion skeleton sample information data to obtain skeleton key part screening data; performing sensor data acquisition on the automobile seat cushion framework sample based on the framework key part screening data to obtain stress sensor acquisition data and deformation sensor acquisition data; and carrying out loading mode design on the information data of the automobile seat cushion framework sample to generate fatigue loading mode data of the automobile seat cushion framework. According to the invention, the accuracy and reliability of the fatigue test of the automobile seat cushion framework are improved by accurately screening key parts of the framework, designing a real loading mode, deeply detecting damage, predicting the service life and optimizing materials.

The invention discloses a fatigue load response analysis method for a non-uniform beam of a ship, and particularly relates to the technical field of fatigue load response analys.The vibration coupling degree between the non-uniform beam and other parts of the ship is judged by obtaining the inherent frequency of the non-uniform beam and the other parts of the ship and calculating the vibration coupling degree coefficient; the method comprises the following steps of: acquiring load time-history data of a non-uniform beam, generating a dynamic load spectrum of the non-uniform beam, effectively capturing real load conditions of a ship under various working conditions, and calculating a fatigue damage coefficient of the non-uniform beam through local stress-strain analysis of the non-uniform beam so as to obtain a dynamic load spectrum of the non-uniform beam. A self-adaptive fatigue damage model is constructed based on the vibration coupling degree coefficient and the fatigue damage coefficient, the fatigue damage value of the non-uniform beam is dynamically corrected, the fatigue damage evolution process of the non-uniform beam under different working conditions is reflected through self-adaptive adjustment, and the dynamic property and accuracy of fatigue damage evaluation are improved.

The invention provides a double-space fatigue electron microscope test system, which is applied to the technical field of material analysis, and comprises an electron microscope module, a fatigue loading module and a vacuum isolation damping module, the vacuum isolation damping module controls two spaces of the electron microscope module and the fatigue loading module to be communicated or independent; the fatigue loading module comprises a hydraulic loading actuator, an electromechanical loading actuator, a loading rod and a fixing clamp, the fixing clamp is used for clamping a to-be-tested sample, and the loading rod is used for stretching or extruding the to-be-tested sample; and the fatigue loading module is driven by the moving mechanism to reciprocate along the X axis to adjust the position of the to-be-tested sample or rotate along the X axis to realize switching of different stations. According to the double-space fatigue electron microscope test system, combined use or independent use of the electron microscope module and the fatigue loading module is realized, and adverse factors such as vibration and pulse generated by the fatigue loading module during electron microscope observation are improved; in-situ compensation is achieved by means of cooperation of loading force and displacement of the fatigue loading module, and the observation effect of the electron microscope is improved.

The present invention relates to the technical field of fatigue testing of rubber elastic elements, specifically to a large-tonnage radial-axial bidirectional fatigue loading test device for elastic support joints, comprising a radial loading component, an axial loading component, a fixed component and a loading platform, wherein the fixed component is placed above the loading platform, the radial loading component applies a radial loading force to the elastic support joint in the fixed component from the bottom of the loading platform upward, the axial loading component applies an axial loading force perpendicular to the radial loading force to the elastic support joint in the fixed component from the upper side of the loading platform, and the power output rod of the axial loading component and the radial loading component are in a linkage state of the same upper and lower. The present invention can perform fatigue loading tests on elastic support joints in radial and axial directions at the same time, with a large loading load, and can meet the large-tonnage loading requirements of fan equipment.

The invention provides a pipeline steel fatigue crack growth rate prediction model construction method and system, and the method comprises the steps: constructing an initial crack growth rate prediction model considering the influence of a hydrogen pressure alternating load according to a Walker formula and a joint factor model; hydrogen pressure change is introduced, and the initial crack propagation rate prediction model is optimized into a hydrogen pressure adaptive crack propagation rate prediction model; hydrogen pressure is given, constant terms in the hydrogen pressure adaptive crack growth rate prediction model are solved, and a final fatigue crack growth rate prediction model is obtained. The cyclic load is designed according to the actual pressure fluctuation of the pipeline, the fatigue crack growth rate model of the pipeline steel under the combined action of the hydrogen pressure and the fatigue load is established, and guiding significance is provided for safe operation and service life prediction of the hydrogen-doped pipeline.

The invention provides a variable pitch control method and system of a wind generating set and the wind generating set. The variable pitch control method comprises the steps that wind speed data at the wind coming side of an impeller of the wind generating set and at the position away from the impeller by a preset distance in the current control period are determined; determining an estimated pitch angle of the current control period based on the wind speed data of the current control period; comparing the estimated pitch angle of the current control period with the reference pitch angle of the previous control period, and taking the comparison result as the reference pitch angle of the current control period; and on the basis of the reference pitch angle of the current control period, blade pitch variation of the wind generating set is controlled. According to the variable pitch control method of the wind generating set and the wind generating set, the problem that the reduction effect of the fatigue load of the whole machine is poor due to control hysteresis is solved, blade variable pitch can be controlled in advance, and the limit load and the fatigue load of the whole machine are better reduced.

The invention relates to the technical field of wind fields, and discloses a fan decoupling control method for coordinating active power tracking and fatigue load optimization so as to achieve the maximum power control requirement, meet a wind field dispatching instruction, achieve power tracking and restrain fatigue loads. According to the method, on the basis of a model prediction control framework, through decoupling control over the rotating speed and the pitch angle of a wind driven generator rotor, multi-target optimization of wind field reference power tracking and fatigue load suppression of components such as fan blades, a gearbox and a low-speed shaft is achieved.

The invention relates to the technical field of load spectrum analysis, and discloses a gear random fatigue load processing method and system based on a GCM counting method.The method comprises the steps that actual operation load data and actual operation environment data of a gear transmission system are collected, and torque is converted into instantaneous contact stress; dividing into a plurality of discrete cells based on discretization processing; carrying out clustering analysis on all discrete cells; constructing a two-dimensional gear counting matrix; the asymmetric cyclic stress is converted into equivalent symmetric cyclic stress, and the total service life of the gear is determined; comparing the equivalent symmetric cyclic stress with cyclic stress under a raindrop counting method to determine an adjustment coefficient, and determining an early warning threshold value according to the total service life of the gear and the adjustment coefficient; and comparing the total fatigue damage value with an early warning threshold value to determine an early warning grade. According to the method, joint statistics of the stress amplitude, the average stress and the environmental characteristics is achieved, and the defects of a raindrop counting method in the aspects of processing meshing discontinuous loads and lacking environmental adaptability are overcome.

The present invention belongs to the technical field of wind farm active power control and discloses a wind farm frequency modulation power distribution method that takes into account the historical fatigue load of the unit. The method comprises the following steps: collecting the frequency data of the wind farm grid connection point; when the frequency change exceeds the frequency modulation dead zone, calculating the wind farm active power change reference value ΔP farm ; Match the station active power change reference value ΔP in the formed scenario strategy set farm The corresponding optimized active power distribution results of the units. This distribution method is compared with the traditional proportional distribution scheme. While meeting the system frequency response requirements, the present invention improves the problems of sudden increase in fatigue load in wind farms and large differences in fatigue accumulation between units, and verifies the effectiveness of the proposed method.

The invention belongs to the field of material mechanical property testing and strain measurement, and particularly relates to a local strain measurement method and system based on a four-point bending and digital image correlation (DIC) technology, and the method specifically comprises the following steps: cutting to prepare a sample, carrying out surface electrolytic polishing, preparing speckles on the surface of the sample to be tested, and carrying out a four-point bending experiment; speckle images of the lower surface of the sample are collected, displacement correction is conducted in combination with bending deflection calculation, the bending load and the strain of the upper surface of the sample are obtained in real time, the stress-strain relation and local strain distribution of the lower surface of the sample are obtained through calculation, and finally deformation and failure mechanism analysis is conducted in combination with surface deformation and crack morphology. The method provided by the invention combines four-point bending and DIC plane strain measurement technologies, can realize stretching, compression and dynamic fatigue loading on the surface of the sample, is suitable for performance test and failure analysis of tension, compression and fatigue deformation of brittle metal materials such as intermetallic compounds and amorphous materials, and has the characteristics of convenience, rapidness and low cost.

The invention relates to the field of reliability design analysis of a transmission system, and discloses a fatigue reliability adaptive evaluation method for a wind power gear box under a real-time wind condition, and the method comprises the steps: obtaining a working condition curve of a wind turbine generator according to a wind energy utilization coefficient Cp; according to the real-time wind speed history, fitting to obtain average wind speed distribution and turbulent flow standard deviation characteristic values of the real-time wind speed history; according to the cut-in wind speed and the cut-out wind speed, generating an input rotating speed and an input torque history according to the working condition curve of the wind turbine generator, and obtaining a fatigue stress history of each failure mode according to external excitation; according to the fatigue stress distribution and the stress cycle index of the part under each working condition, obtaining the fatigue stress distribution of the part under the full wind condition; generating a corresponding equivalent fatigue load spectrum according to the fatigue stress distribution and the stress cycle index of the part under each working condition; obtaining the fatigue damage and residual strength history of the fatigue sample of each part; obtaining a function value of each failure mode of each fatigue sample; and obtaining the fatigue reliability of the wind power gear box according to the reliability of each failure mode.

The invention provides a chain ring fatigue damage calculation method and system considering wear conditions, under the conditions of multiple working conditions and multiple wear losses, fatigue load calculation and accumulated damage analysis are carried out on a suspension chain ring, and through time domain simulation, finite element calculation, rain flow counting and S-N curve combination, the fatigue damage of the chain ring is calculated. And a working condition-abrasion loss-fatigue damage database is established. According to the method and the system, accurate evaluation and early warning can be provided for safe service management of the anchor chain or the suspension chain in ship and ocean engineering, and the reliability and the economical efficiency of system operation are greatly improved. All the parts of the device can be independently implemented and can also be modularly combined.

The invention provides a fatigue test method, system and equipment based on texture change of carbon fibers and a medium, and belongs to the technical field of material tests.The method comprises the steps that a carbon fiber composite material is selected as a test sample; applying a fatigue load to the test sample according to a designed test condition, and collecting a surface image of the test sample; the method comprises the following steps of: preprocessing an acquired image, clustering according to the gray level and texture similarity of pixels to obtain a plurality of clustering subareas, and marking different clustering areas by using different colors to complete color mapping; extracting texture feature parameters from the image after color mapping, and performing PCA dimension reduction to obtain key texture feature parameters; and comparing the key texture feature parameters of the image under different test conditions, identifying texture feature changes, and completing fatigue performance evaluation. According to the method, image processing and texture feature analysis are combined, so that non-destructive testing of the CFRP fatigue performance is realized, and the testing accuracy and efficiency are improved.

The invention relates to the technical field of metal fatigue life prediction, in particular to an additive manufacturing metal multi-axis high-cycle fatigue life prediction method based on defect characteristics. The method comprises the following steps: performing defect detection on a metal sample to obtain size parameters and position parameters of defects in the metal sample; determining the type of the defect in the metal sample and setting a first correction factor and a second correction factor; calculating the equivalent stress strength factor amplitude of the metal sample under multi-axial loading; acquiring a long crack propagation threshold value of the metal sample; normalizing the position parameters to obtain normalized position parameters; and establishing a fatigue life prediction model of the metal sample according to the normalized position parameters, the equivalent stress strength factor amplitude of the metal sample under multi-axial loading and the long crack propagation threshold value of the metal sample, and calculating the multi-axial high-cycle fatigue life of the metal sample. According to the method, the fatigue life of the metal material containing the additive manufacturing defects under multi-axis high-cycle fatigue loading can be accurately predicted.

The invention belongs to the technical field of impact fatigue performance detection, and particularly relates to a Hopkinson rod three-point bending sample-based constant-amplitude impact fatigue device, which comprises a dynamic indentation system, an energy absorption system, a strain measurement system and a pressure data acquisition system, and is characterized in that the dynamic indentation system comprises kinetic energy application equipment, an impact rod, an incident rod and a three-point bending test bed; the strain measurement system comprises a strain gauge and a dynamic strain acquisition instrument which are electrically connected, the pressure data acquisition system comprises a force transducer and a data acquisition instrument which are electrically connected, and the energy absorption system comprises a flange, a sleeve and a mass block. The device depends on the Hopkinson rod technology, the momentum well design is ingeniously fused, the problem of secondary loading is effectively avoided, constant-amplitude impact fatigue loading is achieved, key parameters such as the yield point, the elastic limit and the breaking strength of the material are accurately measured, and the reliability and safety of the material are comprehensively evaluated.

The invention relates to a non-probabilistic fatigue reliability analysis method for a controllable-pitch propeller hub mechanism under data driving, which comprises the following steps of: considering multiple uncertain sources such as elastic modulus and friction coefficient, modeling each part of the controllable-pitch propeller hub mechanism through parameterization to obtain a finite element model under different uncertain variable values; drawing a fatigue load spectrum by using a finite element simulation load result, and performing fatigue simulation by combining an S-N curve to obtain the fatigue life of each part; and obtaining a non-probability interval model of the fatigue life of each part by using a data-driven agent model and a Monte Carlo method under a limited fatigue life sample condition, and calculating the fatigue reliability of each part by using a non-probability area method. A data driving method is adopted, so that the problems of high cost and time consumption of obtaining enough data in actual engineering are avoided; fatigue reliability analysis is carried out by adopting a non-probabilistic method, so that uncertainty in engineering can be better dealt with, and the fatigue reliability of the controllable-pitch propeller hub mechanism can be more comprehensively evaluated.

The invention provides a test device and a test method for loading a three-dimensional conical fatigue load. The device comprises a bearing beam frame assembly, a sliding rod supporting assembly, a displacement coordination loading system, an axial force loading system, a stay cable simulation test piece and a stay cable simulation fixing tool, by analyzing the working states of flexible connecting structural members such as inhaul cables and mooring ropes, the invention provides a new fatigue loading form, and the loaded axial force is always in the axial direction of the structural members and can rotate in the space; the loading form can truly reflect the'pull-pull 'fatigue life of the structural member in a specific working environment, and is used for guiding maintenance and repair of key equipment.

The invention relates to the technical field of corrosion tests, and particularly provides a corrosion fatigue coupling test device and a corrosion fatigue coupling test method for a buried pipeline. Corrosion and fatigue coupling effects suffered by the buried pipeline are simulated through the circulating pressurizing system, the fatigue loading system and the corrosion environment adjusting system, and related data of the pipeline and soil in the corrosion process are recorded through the data collecting and monitoring system. According to the invention, the test process is closer to the real service environment of the buried water supply pipeline, the temperature, humidity, pH and other parameters in the test box can be kept relatively stable, and the influence of dead load of buildings, vehicles, vibration and other live loads in the pipeline operation process is fully considered, so that the test result is more reliable and accurate, and the test efficiency is improved. Meanwhile, all the systems are controlled in a centralized mode through the controller, so that the experiment period is relatively short, the automation degree is high, operation is easy and convenient, functions are comprehensive, and the application prospect is wide.

The invention relates to a multi-component alloy fatigue strength evaluation method based on slip localization, which comprises the following steps: acquiring material parameters of a multi-component alloy for a fatigue test, and establishing a micro-scale model on a computer based on the material parameters; carrying out simulated fatigue loading on the micro-scale model by adopting a molecular dynamics simulation means; after simulation fatigue loading enters a steady-state stage, dividing the micro-scale model into a plurality of subunits with the same size, calculating the slip irreversibility of each subunit based on the shear strain of each atom in each subunit, and further calculating the slip irreversibility difference between the subunits; calculating a non-uniform parameter based on the slip irreversibility of each subunit and the slip irreversibility difference; performing normalization and grid removal processing on the non-uniform parameter to obtain a slip localization index; and constructing a fatigue strength evaluation model based on the material parameters and the slip localization indexes.

The invention discloses a neural network-based turbine blade high-low cycle composite fatigue reliability analysis method, which comprises the following steps of: obtaining a small amount of data samples of a turbine blade through finite element analysis, extracting the characteristics of the data samples by using a convolutional neural network, and inputting the extracted characteristics into a BP neural network optimized by an improved seagull optimization algorithm to obtain the high-low cycle composite fatigue reliability of the turbine blade. The method comprises the following steps: establishing a CNN-MSOA-BP neural network model of a turbine blade under a high-low cycle composite fatigue load, taking multi-source uncertainty such as a load parameter and a material parameter into consideration, sampling a large number of input samples through Monte Carlo, and obtaining a corresponding output response through the established CNN-MSOA-BP neural network model, thereby performing reliability analysis of the turbine blade. According to the method provided by the invention, the reliability of the turbine structure under complex loads such as high-low cycle compound fatigue can be analyzed, the method has relatively high precision and operation efficiency, and theoretical support is provided for reliability analysis and optimization of turbine blades.

The invention discloses a wind generating set transmission chain fatigue load prediction method and system considering sandstorm characteristics, and belongs to the technical field of wind power generation and structure fatigue prediction. According to the method, a wind speed time sequence capable of representing sandstorm evolution characteristics is obtained and serves as external physical excitation to be input into a wind-machine-electricity coupling state space model, and a dynamic torque time sequence of a transmission chain low-speed shaft is obtained through calculation; on the basis, a load spectrum is generated by adopting a rain flow counting method, and the accumulated fatigue damage degree corresponding to the sandstorm event is calculated in combination with the Miner linear accumulated damage criterion and the S-N curve of the low-speed shaft material; and further comparing the damage degree with a preset threshold value, and when the damage degree exceeds the threshold value, automatically generating a preventive active load reduction control strategy aiming at the sandstorm, thereby realizing a closed loop of prediction and control. According to the method, the influence of extreme non-stable wind conditions such as sandstorm and the like on the fatigue damage of the transmission chain can be quantitatively evaluated, and technical support is provided for safe operation and predictive maintenance of a wind turbine generator in extreme weather.

The invention discloses a wind power plant active yaw optimization method and system considering a fatigue load of a wind turbine, and relates to the technical field of wind turbine power generation, and the method comprises the steps: obtaining a wake flow model for calculating the equivalent inflow wind speed of a wind wheel surface of the wind turbine; determining a wind wheel surface equivalent inflow wind speed-yaw angle-thrust coefficient two-dimensional lookup table and a wind wheel surface equivalent inflow wind speed-yaw angle-power two-dimensional lookup table of each wind turbine in the wind power plant; constructing an equivalent fatigue load proxy model of the wind turbine based on a blade aerodynamic load and blade gravity coupling effect; and constructing an optimized objective function by taking power maximization and equivalent fatigue load minimization as objectives, solving the optimized objective function through an optimization algorithm according to the actually measured wind turbine-wind measurement data, the wake flow model, each two-dimensional query table and the equivalent fatigue load proxy model, and determining a target yaw angle combination. On the basis of the scheme, the fatigue load caused by the wake effect is reduced while the power improvement is guaranteed, and the active yaw optimization reliability is improved on the whole.

The invention belongs to the field of airplane strength fatigue life prediction, and particularly relates to an equivalent stress-based airplane typical structure multi-axial fatigue life prediction method. The method comprises the steps of determining a typical aircraft high-lock connection structure test piece; determining a fatigue load spectrum; constructing a finite element model of the typical high-lock connection structure of the aircraft; determining a dangerous part of the airplane typical high-lock connection structure test piece in finite element analysis; determining the maximum principal stress at the dangerous part of the typical airplane high-lock connection structure test piece in finite element analysis; determining the fatigue life of the test piece; fitting S-N curve data under different stress ratios according to the fatigue life of the test piece and the load spectrum stress ratio, and determining a corrected S-N curve; determining an equivalent stress-life equation of the typical high-lock connection structure of the aircraft, and substituting the maximum principal stress and fitting parameters of the corrected S-N curve into the equivalent stress-life equation to calculate and obtain a fatigue prediction life; and correcting the fatigue prediction life according to a test result.

The invention provides a wind power blade girder layering damage failure analysis method based on body-shell coupling. The method comprises the steps that a full-size blade geometric model and a full-size blade shell finite element analysis model are established; selecting a full-size blade from a blade root pitch circle to a 1 / 3 blade length section as a shell analysis model; embedding the prefabricated layered defect into the full-size blade girder area by adopting a body-shell coupling method to obtain a body-shell coupling model for blade girder damage failure analysis; blade root fixing constraint is adopted, equivalent fatigue load is applied to the end of the shell analysis model through a multi-point constraint method, out-of-plane displacement of the center point of the upper surface of a sub-plate and the center point of the lower surface of the sub-plate is extracted, and a layered expansion failure process along with load action time is extracted; and carrying out layering failure research on the layering damage of the full-size blade. The method can solve the problem that there is no effective analysis method for the main beam layering failure mode and the expansion path of the wind power blade.

The invention relates to a fatigue limit rapid prediction method based on infrared thermal image energy dissipation characteristics. The method comprises the steps of sample preparation and pretreatment, fatigue loading stress level upper limit determination, infrared fatigue test and temperature rise data acquisition, thermal image data processing and temperature rise feature extraction, energy dissipation model construction, fatigue limit value prediction, error analysis and method verification. The method comprises the following steps: monitoring steady-state temperature rise rates under different stresses through a thermal infrared imager, establishing a relation curve between a dissipation rate and a stress amplitude, predicting a fatigue limit based on a least square method, and comparing the fatigue limit with an S-N test result for verification. Compared with a traditional method, the method has the advantages of high prediction precision, high response sensitivity, low loss, short test period and the like, and is particularly suitable for rapid fatigue limit prediction and strengthening effect judgment of the high-temperature alloy material subjected to laser-assisted ultrasonic rolling strengthening.