83 results about "Creep fatigue" patented technology

The invention provides a steel service life prediction method, device, equipment and medium based on a neural network algorithm, and the method comprises the steps: obtaining a material parameter and an operation parameter of a pipeline steel to obtain a stress parameter and a test temperature of the steel, taking the stress parameter and the test temperature as input nodes, taking the fracture time as an output node, and calculating the service life of the steel. Constructing a neural network model, training the neural network model to obtain a creep fatigue prediction model, obtaining the fracture time of the pipeline steel based on the creep fatigue prediction model, generating a life prediction curve of the pipeline steel according to the fracture time, and predicting the life of the target pipeline steel through the life prediction curve; according to the method, training can be carried out by utilizing limited experimental data and simulation data through the neural network model, and a high-precision creep fatigue prediction model can be constructed in a short time, so that the residual life of the material is rapidly evaluated, and the working efficiency is greatly improved.

The invention provides an internal damage assessment method and system based on a multi-modal graphite component, and relates to the technical field of material deterioration assessment, and the method comprises the steps: generating a standardized multi-modal data stream through synchronously collecting five-modal data; extracting acoustic and electro-thermal physical features from the multi-modal data stream, and constructing a multi-dimensional damage sensitive feature vector; inputting the multi-dimensional damage sensitive feature vectors into a deep learning network corrected by a physical constraint layer, and extracting crack quantization parameters from the deep learning network; inputting the crack quantization parameters into a digital twin driven irradiation-creep-fatigue coupling damage model, and calculating the residual life and failure probability of the overall structure; and in combination with the space coordinate information of the three-dimensional crack probability field, a preventive maintenance instruction and schedule for the high-risk modular component are generated and optimized. According to the method, accurate perception, quantitative evaluation, accurate prognosis and optimized decision making of the internal damage of the graphite component are realized, the resource utilization efficiency is maximized, and unnecessary shutdown loss is reduced.

The invention discloses a creep fatigue state evaluation method and system for high-temperature nuclear power station equipment. The method comprises the following steps: acquiring operation state parameter data of the high-temperature nuclear power station equipment; determining a total strain range of the equipment based on the operation state parameter data; according to the total strain range, the allowable cycle index and the creep initial stress of the equipment are determined; determining the fatigue damage and the creep damage of the equipment by using the allowable cycle index and the creep initial stress respectively; and based on the fatigue damage and the creep damage, evaluating the creep fatigue state of the equipment. Creep-fatigue comprehensive damage full-period safety and service life analysis management of key components of the high-temperature power station can be realized, when equipment has risks, an evaluation result is fed back to a main control room in time to remind a user of focusing on attention and monitoring, and a corresponding technical scheme is provided for a health monitoring and service life prediction system of a digital nuclear power station and an in-service power station.

The invention discloses a metal piece service life prediction method and device, a controller and a storage medium, relates to the technical field of metal material performance prediction, and at least solves the problem of low prediction result precision of a prediction model constructed on the basis of uniaxial smooth sample test data. The method comprises the following steps: determining a first pure fatigue life of a target metal piece in a notch structure in a non-notch smooth structure state, target holding time of creep and a target notch stress concentration coefficient; obtaining a corresponding target preset model associated with the target metal material of the target metal piece; the target preset model represents the stress concentration coefficient, the load holding time, and the mapping relation between the pure fatigue service life and the creep-fatigue service life in the unnotched smooth structure state; and based on the target preset model, obtaining the target service life of the target metal piece under the first pure fatigue life, the target holding time and the target notch stress concentration coefficient.

The invention discloses a heavy-duty gas turbine blade creep fatigue life design method considering an anisotropic effect, and relates to the technical field of gas turbine key component creep fatigue life evaluation.The method comprises the steps that orientation factor parameters on characteristic orientation are determined based on tensile data on [001] crystal orientation; constructing a modified stress relaxation formula; constructing an anisotropic failure strain energy density equation based on the pure creep performance data and the orientation factor parameters, and determining an upper platform of failure inelastic strain energy density on [001] crystal orientation; further determining an upper platform of the failure inelastic strain energy density on the feature orientation; constructing a creep damage prediction model based on a modified stress relaxation formula and an anisotropic failure strain energy density equation; and adopting the creep damage prediction model to obtain the creep fatigue life of the anisotropic turbine blade material sample. The method meets the actual requirements of service life evaluation of the high-temperature part of the heavy-duty gas turbine.

The invention discloses a life health management method and system for an HR3C material, and relates to the technical field of data processing, and the method comprises the steps: collecting the operation condition data of the HR3C material in a service state, carrying out the creep, fatigue and creep-fatigue interaction performance testing of a welding seam and a heat affected zone, and obtaining the real-time service state data; combining a high-temperature accelerated aging test result to construct a structure-performance coupling model; and performing microscopic damage calculation and residual life prediction based on the organization-performance coupling model and the real-time service state data, and generating a health assessment index to execute health management. The technical problems that in the prior art, damage evolution of the HR3C material under the complex high-temperature working condition cannot be accurately evaluated in real time, and the service life prediction and health management precision is insufficient are solved, and the purposes that through performance coupling analysis and aging process feedback under the multiple working conditions, microcosmic damage is accurately evaluated, and the remaining service life is dynamically predicted are achieved. And the health management precision is improved.

The invention relates to a material life prediction method, a prediction system and a computer readable medium. The prediction method comprises the following steps: obtaining simulation results of crystal plasticity finite element models corresponding to a to-be-predicted material under loads of pure low-cycle fatigue, creep fatigue and high-low-cycle composite creep fatigue, and at least one group of actual test results corresponding to the to-be-predicted material under the loads of pure low-cycle fatigue, creep fatigue and high-low-cycle composite creep fatigue; according to the simulation result and the test result, determining a critical value of a fatigue indication factor, a critical value of a creep indication factor and parameters related to the creep indication factor under loads of pure low-cycle fatigue, creep fatigue and high-low-cycle composite creep fatigue; and establishing a life prediction equation based on crystal plasticity by utilizing a linear damage accumulation criterion, and predicting the cycle life of the to-be-predicted material under the cyclic load test condition.

The invention discloses a damage evolution prediction method and device based on dynamic order reduction, equipment, a medium and a product, and relates to the field of aero-engine health management and monitoring. The method comprises the following steps: performing a finite element fatigue / creep-fatigue simulation test on a similar structural member covering stress states under various operating conditions, and extracting a time-physical field matrix of finite element fatigue simulation results under the various operating conditions; performing dynamic order reduction processing on the time-physical field matrix to reduce the dimension of the matrix to obtain an order-reduced matrix; constructing a reduced order model; performing equivalent stress field distribution reduction according to the reduced-order model to obtain a reduced-order reduced physical field; and performing damage distribution evolution and fatigue life prediction under fatigue or creep-fatigue load based on the reduced-order reduction physical field, and performing correction based on a fatigue life prediction model. According to the invention, the efficiency and universality of life prediction can be improved.

The invention discloses a method and system for predicting the service life of a steel base material based on creep-fatigue interaction, and relates to the technical field of data processing.The method comprises the steps that stress, strain and temperature data of an in-service steel base material are collected to construct a service parameter set, a creep, fatigue and composite loading test sequence is generated based on the parameter set, and the service life of the steel base material is predicted; and carrying out a creep-fatigue interaction test, extracting damage evolution data, carrying out multi-dimensional association on the damage evolution data and service parameters, establishing a creep-fatigue collaborative damage model, and realizing accurate prediction of the residual life of the steel base material through iterative calculation. The technical problems that in the prior art, the interaction effect of creep and fatigue under the complex service condition cannot be considered at the same time, so that the steel base metal service life prediction result is large in deviation, and reliability is insufficient are solved, and the aim of predicting the service life of the steel base metal by constructing the creep-fatigue collaborative damage model and combining real service parameters is achieved. And the service life prediction precision and reliability of the steel base metal under the complex working condition are improved.

The invention discloses a method for predicting creep-fatigue interactive damage of a powder disc edge. The method comprises the following steps: S1, constructing a creep constitutive model of the powder disc edge; s2, acquiring load holding time; s3, creep stress analysis and creep fatigue weak position acquisition; s4, creep stress segmentation: establishing a creep stress relaxation model in which the stress sigma is related to the time t, and segmenting the creep stress by taking the logarithmic stress as the step length; s5, performing low-cycle fatigue damage analysis, and acquiring the low-cycle fatigue life and the low-cycle fatigue accumulated damage of the section by adopting a stress-life curve or a strain-life curve; s6, creep-stress fracture damage and total damage are analyzed, and creep-stress fracture accumulated damage and low cycle fatigue and creep-stress fracture total damage under corresponding cycles are obtained; s7, designing and verifying a powder disc edge simulation piece; and S8, verifying and improving a powder disc edge creep-fatigue damage prediction model. According to the method, the creep-fatigue prediction precision of the turbine disc edge is improved.

The present invention discloses a method for analyzing the risk possibility level of a petrochemical industry pipeline, which is mainly considered from five aspects, namely: the risk possibility level based on the corrosion rate, the risk possibility level based on the continuous uninspected time, the risk possibility level based on the thinning rate, the risk possibility level corresponding to the expected thinning rate of the next overhaul, and the risk possibility level based on factors such as chloride stress corrosion, wet hydrogen sulfide damage, creep, fatigue and cracking. The maximum level of these five parts is taken as the petrochemical industry pipeline for calculating the risk possibility level. The present invention can simply, quickly and effectively divide the risk possibility level of the petrochemical industry pipeline in use, and is convenient for analysts to comprehensively and objectively evaluate the risk possibility level of the pipeline through inspection and detection data, daily inspection and maintenance strategies, daily fixed-point thickness measurement results, online corrosion probe transmission data, accident cause analysis and other aspects.

The invention discloses a high-temperature component reliability interval assessment method, device, equipment, medium and product, and relates to the technical field of reliability assessment, the method comprises the following steps: carrying out probability damage assessment on a high-temperature component to obtain stress and strain probability distribution of a dangerous point of the high-temperature component; constructing and training a plurality of physical information neural network models by taking the creep fatigue test conditions of the high-temperature part as input and the test life as output; according to the life prediction result of each physical information neural network model, constructing a life prediction interval and basic trust distribution of each model; carrying out fusion through a Dempster method to obtain a fusion life prediction interval; according to the fused life prediction interval and the stress and strain probability distribution, a reliability interval evaluation result of the life of the high-temperature component is obtained, the model uncertainty brought by the selected model is considered, and the method has the advantages of being high in prediction precision, high in engineering applicability and good in physical interpretation.

The invention discloses a mine roof dynamic exposure time prediction method considering rock mass structural creep, and belongs to the technical field of mining safety, and the method specifically comprises the following steps: S1, carrying out rock mass structure measurement on a roof rock mass, and obtaining a rock mass integrity coefficient of the roof rock mass; s2, testing rock samples of roof rock masses with different burial depths are drilled on site, an indoor creep-fatigue interaction mechanical test is carried out on the testing rock samples, stress disturbance is applied in the indoor creep mechanical test, time corresponding to a creep stable stage and a creep unstable stage of the testing rock samples is determined, and a dynamic exposure time interval of the mine roof is preliminarily obtained; and S3, revising the initial mine roof dynamic exposure time interval according to the rock mass integrity coefficient to obtain predicted mine roof dynamic exposure time. The prediction precision is high, the prediction is shortened from the month level to the day level, and the mine roof management work can be conveniently guided.

The invention provides a steel aging process numerical simulation method and system.The method comprises the steps that an initial constitutive model of creep fatigue of a to-be-tested steel material is built, and material parameters of the initial constitutive model comprise isotropic hardening parameters, follow-up hardening parameters and viscous stress parameters; the method comprises the following steps: performing a creep fatigue interaction experiment on a to-be-tested steel material at a preset temperature to obtain experimental data under the conditions of preset loading time, constant strain rate and constant strain amplitude, including a cumulative inelastic strain curve, a tensile curve and a stress relaxation curve; constructing a mechanical behavior model of the to-be-tested steel material according to the material parameters, and performing fitting by utilizing an accumulated inelastic strain curve, a tensile curve and a stress relaxation curve to obtain a target constitutive model; and utilizing the target constitutive model to perform aging numerical simulation on the to-be-tested steel material to obtain a change curve of stress along with time. And the aging process of the steel is simulated based on experimental data and a creep fatigue mechanism, so that the accuracy of aging evaluation and life prediction of the steel is improved.

The invention relates to the technical field of power generation, in particular to a power station boiler high-temperature thick-wall component stress monitoring system and method.The system comprises at least one high-temperature strain gauge, at least one high-temperature sensor, at least one high-temperature sensor, at least one high-temperature sensor and at least one high-temperature sensor, the at least one high-temperature strain gauge deforms under the condition that the temperature of the wall surface is greater than a preset temperature; the at least one temperature sensor is used for collecting the actual temperature of the high-temperature thick-wall part of the power station boiler; the at least one strain collector is used for generating a strain value of the at least one high-temperature strain gauge; and the monitoring assembly is used for inquiring the material elasticity modulus of the power station boiler high-temperature thick-wall component by taking the actual temperature as an index, and calculating the stress value of the power station boiler high-temperature thick-wall component by combining the strain value. According to the invention, the high-temperature stress-strain testing technology can be applied to the stress online monitoring of the high-temperature thick-wall part of the thermal power plant boiler, and the safety risk caused by creep-fatigue damage during the operation of the high-temperature thick-wall pipeline can be effectively predicted.

The invention relates to the technical field of buried cracks, in particular to a method, a device, equipment and a medium for evaluating the service life of a dissimilar steel pipeline containing buried cracks, and the method comprises the following steps: calculating service stress; the load ratio and the fracture ratio of the dissimilar steel pipeline are calculated, and whether buried cracks are within an acceptable range or not is judged; if the buried crack is in an acceptable range, predicting the residual life of the creep crack extending to the critical depth; calculating a crack propagation increment under the fatigue load according to a preset fatigue cycle period and an internal pressure fluctuation range; based on the crack propagation increment coupling creep and fatigue propagation amount, determining the propagation amount of the total crack, and determining the creep-fatigue coupling life according to the propagation amount of the total crack; the creep dominant life and the creep-fatigue coupling life are compared to generate a final remaining life for the dissimilar steel pipe. Therefore, the defect that a traditional single-mechanism model is insufficient in response to material mismatch characteristics is overcome, and the problem of crack morphology prediction distortion caused by anisotropy of dissimilar steel materials is solved.

The present invention discloses a prediction method for irreversible deformation of salt rock creep fatigue under complex loading and unloading paths, which includes establishing a constitutive equation describing the deceleration stage and the steady state stage of salt rock fatigue creep: establishing a constitutive equation for predicting the accelerated deformation stage of salt rock: predicting the three stages of salt rock fatigue creep behavior through the established constitutive equation. The present invention can accurately describe and predict the irreversible deformation of salt rock creep fatigue under complex loading and unloading paths, especially the third stage, i.e., the accelerated deformation stage before critical failure, and can obtain more practical results for practical engineering applications such as the long-term stability evaluation and life assessment of salt cavern gas storage.

The invention discloses a spaceflight structure strength analysis method based on a multi-physics field, which comprises the following steps: establishing a parameterized finite element model integrated with a friction heat generation effect by acquiring in-orbit temperature time sequence data and material creep characteristic parameters, and simulating inelastic strain accumulation of a structure under a thermal cycle load; a nonlinear damage model considering a creep-fatigue interaction effect is adopted to calculate an accumulated damage degree, an effective stiffness matrix is constructed to deduce a structure inherent frequency drift distance and a shape retention capability parameter, and finally, through a safety margin evaluation algorithm, the effective strength of a material and the maximum equivalent stress of the structure are dynamically compared, so that the performance of the material is evaluated. And accurate prediction of quantitative residual strength and safe service life is realized. According to the method, the technical problems that the local thermal coupling effect is not depicted enough and the creep fatigue nonlinear interaction effect is ignored are solved, and the precision and reliability of on-orbit performance degradation prediction of the spaceflight flexible structure are remarkably improved.

This invention discloses a method and system for predicting the creep fatigue behavior of martensitic heat-resistant steel, relating to the field of high-temperature creep fatigue performance evaluation technology. The method includes: acquiring the microstructure evolution of copper-containing martensitic heat-resistant steel during the test process, obtaining the cyclic strength change rate based on the microstructure evolution, and calculating the creep rate of the copper-containing martensitic heat-resistant steel in the dislocation climb hard phase, as well as the dislocation density under cyclic loading conditions; based on the cyclic strength change rate, creep rate, and dislocation density, obtaining the elastic strain tensor, plastic strain tensor, and creep strain tensor of the copper-containing martensitic heat-resistant steel, and predicting the stress-strain evolution of the copper-containing martensitic heat-resistant steel under cyclic loading conditions based on the elastic modulus tensor; this invention overcomes the limitations of macroscopic creep fatigue behavior prediction methods and provides a new approach to revealing the influence of microstructure on creep fatigue performance.

This application discloses a method, apparatus, equipment, medium, and product for predicting damage evolution based on dynamic order reduction, relating to the field of aero-engine health management and monitoring. The method includes: conducting finite element fatigue / creep-fatigue simulation tests on structural components covering stress states under various operating conditions, and extracting the time-physics field matrix from the finite element fatigue simulation results under each operating condition; dynamically reducing the order of the time-physics field matrix to reduce its dimension, obtaining a reduced-order matrix; constructing a reduced-order model; restoring the equivalent stress field distribution based on the reduced-order model to obtain the reduced-order physical field; predicting the damage distribution evolution and fatigue life under fatigue or creep-fatigue loading based on the reduced-order physical field, and making corrections based on the fatigue life prediction model. This application can improve the efficiency and universality of life prediction.

The present invention discloses a cyclic viscoplastic constitutive model with coupled damage, combining viscoplastic flow laws, kinematic hardening, isotropic hardening, and damage variable evolution. Based on continuous damage mechanics, the damage variable is combined with the constitutive model to accurately simulate the cyclic deformation behavior of the entire life cycle, with high-precision life prediction capabilities. The present invention conducts strain-controlled low-cycle fatigue tests and tensile load-holding creep fatigue tests to obtain the test data required to construct the cyclic viscoplastic constitutive model, and uses a genetic algorithm to obtain a set of optimal model parameters, which can predict the cyclic deformation behavior and fatigue failure life under various cyclic loading waveforms, such as different strain amplitudes, different strain frequencies, and different load-holding times. The constitutive model ultimately obtained by the present invention has high accuracy, strong universality, and life prediction capabilities.

The present application relates to the technical field of aero-engine, disclose a kind of gear end tooth repair method, comprising the following steps: S1, preparation package, after filling alloy disc powder in package, package is set on the end tooth of gear;S2, by pressure device let the end tooth of gear and package between vacuum after package brazing sealing;S3, to gear heat isostatic pressing;S4, to gear heat treatment;S5, using circular arc end tooth grinder to gear grinding processing.The alloy disc powder can be realized with the same mechanics of gear parent alloy, anti creep fatigue, no metallurgical defect connection, can effectively solve the problem of crack, poor mechanical properties, poor creep performance, poor wear resistance and so on.

The embodiment of the invention discloses a mode importance analysis method for a turbine blade in a fuzzy failure state, which comprises the following steps of: constructing a creep-fatigue life reliability analysis model of the turbine blade in the fuzzy failure state, introducing a one-dimensional standard normal variable, and fusing fuzziness of the failure state into a limit state function to form a generalized limit state function; a Kriging model of a generalized limit state function corresponding to each mode is updated by adopting a sequence, repeated training of the Kriging model is avoided, the utilization rate of a training sample is improved, the system reliability and the component reliability are analyzed respectively, and then mode importance analysis under a turbine blade fuzzy failure state is completed in combination with a mode importance index system. According to the analysis result, the importance sequence of the fatigue life reliability of each part of the turbine blade in the fuzzy failure state can be explored, the characteristics of key parts of the turbine blade in the fuzzy failure state can be identified, and a scientific and reasonable basis is provided for structural optimization and fault detection of the turbine blade.

The invention discloses a thermal structure dangerous point strain spectrum conversion and life prediction method based on an easy-to-measure part, virtual stress calculation is performed according to a strain concentration factor, a proposed strain indirect measurement method of a hot end component dangerous point is also combined with a Chboche constitutive model, and further, a stress spectrum and a strain spectrum of the dangerous point are converted. In order to verify the effectiveness of the proposed method, nonlinear finite element simulation analysis is adopted to simulate multi-axis thermal mechanical loading under test conditions, and the method can accurately estimate the stress-strain state of the dangerous point of the hot end structure. Meanwhile, under the condition of considering the influence of fatigue damage, creep damage and creep-fatigue interaction damage, the comparison error of a predicted life result and a test result is dispersed within a twice band, and only a small part of the comparison error is outside a three-time band. Therefore, the method has important engineering significance on structural health assessment, structural optimization design and accurate life prediction of the hot end component.

The application discloses a kind of creep fatigue testers capable of monitoring the change of round tube shaft diameter, comprising: sample protection tube, upper sleeve head, lower sleeve head, pressure inlet pipe and locking part;Two ends of sample protection tube are respectively detachably provided with upper cover and lower cover;The bottom end of lower sleeve head is fixed on lower cover, and the top end of lower sleeve head is provided with a first plug-in slot;The bottom end of upper sleeve head is provided with a second plug-in slot, the top end of upper sleeve head is provided with a third plug-in slot, and a first through hole for connecting the second plug-in slot and the third plug-in slot is provided on the upper sleeve head;The bottom end of pressure inlet pipe penetrates through the upper cover and is sealingly inserted and fixed with the third plug-in slot, and the locking part is connected between the pressure inlet pipe and the upper cover;The shaft diameter measuring mechanism is connected between the upper cover and the lower cover, and the detection end of the shaft diameter measuring mechanism can rotate with the axis of the round tube sample tube as the center.The application can monitor the change process of the shaft diameter of the round tube sample tube at every point around the round tube during creep fatigue test.

According to the method for judging the blasting reason of the high-pressure bypass pipeline, provided by the invention, high-precision positioning of a blasting source and objective analysis of a failure mechanism are realized through a multi-source data fusion technology in combination with crack form quantitative analysis, wall thickness reduction spatial distribution modeling and a dynamic weight distribution model. According to the method, a crack propagation path inversion technology is combined with stress field simulation, a blasting point positioning error is reduced, contribution degree weights of core factors such as wall thickness reduction and material deterioration are dynamically distributed by establishing a spatial correlation analysis model of evaluation parameters, the problem that traditional experience sorting is high in subjectivity is solved, and the method is suitable for large-scale popularization and application. Furthermore, based on a quantitative judgment rule of creep-fatigue competitive failure, the failure mode diagnosis accuracy is improved, and the service life of equipment is prolonged.

The application discloses a kind of based on the prediction method of cyclic creep deformation behavior of unified viscoplastic theory, specific implementation is at the same test temperature, carry out cyclic creep test under different conditions, obtain corresponding data;Unified viscoplastic constitutive model is established, including the establishment of main control equation, flow rule, movement hardening criterion, isotropic hardening criterion;A group of strain control creep-fatigue tests at the above temperature is carried out, and corresponding data is obtained, including each cycle hysteresis loop, each cycle peak stress, strain amplitude;The initial material parameters of the constitutive model are determined using the creep-fatigue test data, and the optimal material parameters are obtained by fitting a group of cyclic creep deformation curves through trial parameter method;The final constitutive model is determined using the obtained optimal material parameters, and the deformation behavior of the material under cyclic creep load is predicted by the constitutive model.The application has the advantages of strong applicability and high precision, and can predict the deformation behavior of the material under cyclic creep.

The invention discloses a creep fatigue test method and device for a polar plate of an electrochemical fuel cell. The testing method comprises the steps that S1, a plurality of temperature points which change in a stepped mode are sequentially applied to a pole plate within a first preset temperature range so that a stepped temperature creep test can be carried out, and the first preset temperature range covers the working temperature range of an electric pile of the electrochemical fuel cell; s2, keeping the temperature of the polar plate constant in a first preset temperature range, and applying cyclic stress to the polar plate to perform a stress cyclic test; s3, applying temperature to the polar plate in a second preset temperature range which is higher than the working temperature range of the electric pile of the electrochemical fuel cell, so as to carry out a high-temperature accelerated aging test; and S4, acquiring and calculating creep related parameters of the polar plate in the testing process of S1 to S3. The test method and device provided by the invention can accurately and efficiently evaluate the creep fatigue characteristics of the polar plate.

The application discloses a nonlinear calibration method for high-temperature mechanical property testing, and relates to the technical field of mechanical property testing of key components of high-temperature equipment. The method comprises the following steps: obtaining information data of a target material under different working conditions; the information data comprises half-life cycle load-displacement data; pre-processing the information data; based on the pre-processed information data, performing data conversion based on a polynomial function model to determine strain data; the strain data is used to realize cross-working-condition unified representation of data; the polynomial function model is a relationship model used to represent the strain-displacement calibration relationship, which is constructed based on experimental data by using a least square method; the experimental data is strain-displacement data obtained after a set number of fatigue and creep-fatigue tests are performed based on multiple loading conditions. The application aims to realize displacement and strain conversion and improve conversion accuracy.

The present application relates to the technical field of high-temperature component creep fatigue test and life assessment, and particularly relates to a high-temperature structure deformation accumulation dynamic creep fatigue load design method under a peak regulation working condition. High-temperature creep performance, cyclic deformation performance, a target test temperature, a typical start-stop number or equivalent cycle number, a main load level range during steady operation, and basic parameters of stress / strain control capability of a testing machine of a target high-temperature structure or a sample thereof are obtained. A stress / strain hybrid control mode is used to generate a dynamic creep fatigue load waveform of the high-temperature structure or the sample thereof. When a dynamic creep fatigue load is executed on a creep fatigue testing machine and a cycle feature meets preset stability and repeatability criteria, the load design is determined to be effective. The present application is easy to implement on existing equipment: the designed load waveform can be realized through software control on a creep fatigue testing machine with stress / strain double closed loop and program loading function, without the need to increase additional hardware, and the engineering operability is strong.