206 results about "Structural fatigue" patented technology

The invention discloses a bridge health prediction device based on a Beidou system and a monitoring analysis method, and relates to the field of bridge health monitoring. The method comprises the following steps: S1, deploying monitoring points at key structure nodes of a bridge, and collecting three-dimensional position information and multi-source data by using a Beidou system and a multi-type sensor; s2, constructing a time-varying displacement field and a continuous deformation tensor, fusing stress and strain to construct a structural fatigue factor, and introducing environmental disturbance to realize dynamic correction of the fatigue factor; s3, a health state function is constructed based on the stress response, the displacement gradient and the deformation tensor, a damage mapping function is constructed in combination with accumulated deformation and a historical threshold value, and a damage thermodynamic diagram is generated; and S4, finally fusing fatigue, health and damage indexes to evaluate bridge risks, and performing dynamic early warning. Through fusion of mechanical tensor features and environmental disturbance modeling, a multi-index linkage fatigue and damage assessment mechanism is constructed, and the precision, robustness and global perception ability of bridge health monitoring are improved.

The invention relates to the technical field of intelligent operation and maintenance, in particular to a bridge maintenance system based on data analysis, which comprises a multi-source data acquisition module, a fatigue degradation monitoring module, a wave velocity anomaly positioning module, a risk collaborative judgment module and a maintenance task planning module. According to the method, structural fatigue characteristics are subjected to cross validation by integrating two-dimensional data of a strain sequence and a stress wave propagation parameter, and a dynamic window range deviation degree is adopted to replace a static threshold value to establish a datum reference linked with a bridge bearing period; a same-path propagation difference value is extracted by using a high-frequency and low-frequency stress wave frequency band energy separation technology to detect continuous overrun, and a degradation trend weight and a priority list of damage space distribution are generated in combination with multi-index coexistence verification and a hierarchical sorting strategy; resource allocation is optimized by integrating a multi-level response mechanism of emergency repair coordinate positioning, directional detection and regular inspection, accurate crack positioning is achieved, the early degradation trend capturing capacity is enhanced, the misjudgment risk is reduced, and an operation and maintenance response chain is shortened.

The invention relates to a method for detecting surface cracks of a steel rail, which comprises the following steps of: controlling the environmental temperature difference change of the steel rail to enable thermal response to generate a hysteresis phenomenon, inducing slight asynchronous thermal fluctuation with discontinuous and asymmetric thermal diffusion in a local area of a material surface layer, and exposing a potential crack boundary; non-contact low-intensity laser thermal disturbance multi-angle scanning is used for executing a disturbance penetration test, non-structural thermal anomalies are removed, and a real crack area is determined; carrying out attenuation curve recording on the thermal response after multiple rounds of disturbance excitation, and reversely deducing the integrity degree of the microstructure below the crack according to the disturbance settlement time so as to judge the structural fatigue grade; environmental steady state comparison is carried out on the same detection area, through comparison of temperature and humidity, wind speed and radiation environment parameter changes before and after disturbance, if the crack area still continuously shows thermal response abnormity under a constant environment condition, it is confirmed that the thermal characteristic is caused by a structural crack, and otherwise, misjudgment caused by external accidental interference is eliminated.

The invention belongs to the technical field of mechanical structure health monitoring and life prediction, and particularly relates to an engineering machinery bearing structure fatigue life intelligent monitoring method, which comprises the steps of 1, building a high-fidelity geometric model, 2, building a finite element model, 3, building a finite element simulation data set, 4, building a neural network agent model, and 5, building a neural network model. 5, working parameters and loading history are obtained; and 6, a visual operation and maintenance platform is integrated. According to the intelligent monitoring method for the fatigue life of the engineering machinery bearing structure, the evolution process of fatigue damage of the structure can be intelligently deduced based on the working parameters and the loading history of the structure, dynamic calculation of the residual life and real-time early warning of the service risk are achieved, calculation resources are saved, the fatigue life evaluation efficiency is improved, and the engineering machinery bearing structure fatigue life monitoring method is suitable for popularization and application. The problems of dependence on off-line simulation, response lag, discontinuous evaluation and the like in traditional structure life management are solved, the intelligent operation and maintenance level of the engineering machinery is effectively improved, and safe and efficient operation of the engineering machinery is guaranteed.

The invention relates to the technical field of port cranes and mechanical engineering, in particular to a crane structure fatigue life prediction method and system. The invention provides a crane structure fatigue life prediction method. The crane structure fatigue life prediction method comprises the steps that a finite element model of a crane structure is established, and a stress-load mapping relation matrix of crane structure nodes is generated through dimension reduction processing; collecting actual working data of the crane structure; performing data processing on the actual working data, and constructing an actual working load spectrum; based on the stress-load mapping relation matrix and the actual operation load spectrum, generating a stress-time history used for calculating the fatigue life structure node of the crane; and calculating the fatigue damage of the crane structure and predicting the residual fatigue life by combining a stress-life curve and an accumulative damage theory of a crane structure material. According to the method provided by the invention, online, real-time and accurate prediction and visualization of the fatigue life of all structures of the crane are realized, and a basis is provided for formulating an accurate operation and maintenance plan.

The invention discloses a fatigue damage assessment method, system and equipment for a dangerous part of a blade and a medium, and relates to the technical field of fatigue life assessment of a blade structure.The method comprises the steps that firstly, a coupling correction coefficient obtained based on equivalent stress amplitude is introduced to improve the nonlinear cumulative damage Miner theory; errors caused by insufficient description of the load sequence effect by a traditional linear means are reduced, so that a nonlinear cumulative damage model capable of representing a nonlinear relation between the load sequence effect and cumulative damage is established; then applying a unit equivalent stress amplitude boundary field to obtain an equivalent stress amplitude field, and simulating scalar damage evolution during circulation in a load mode based on isotropic continuous damage mechanics, so that nonlinear effects of thermal-mechanical coupling, stress gradient change and microstructure evolution of the blade are realized; and the coefficients are corrected through sequence coupling, equivalent reflection is carried out in combination with the equivalent stress amplitude or the equivalent stress amplitude field, and the precision of predicting and evaluating the fatigue damage of the dangerous part of the blade is improved.

The invention belongs to the technical field of fatigue life acceleration test equipment, and particularly relates to an acceleration test device and method for the fatigue life of a rubber corrugated pipe limiting structure, the acceleration test device comprises a base and a heat insulation test box, the bottom end of the heat insulation test box is fixedly connected with the upper surface of the base, and two fixing through holes are formed in the outer wall of one side of the heat insulation test box. The device has multiple environment simulation functions, constructs a composite test environment close to the actual working condition, reflects the influence of different environments on the fatigue life of the limiting structure, improves the representativeness of the fatigue life test result of the rubber corrugated pipe limiting structure, realizes automatic failure judgment through resistance real-time monitoring, does not need manual intervention, and improves the test efficiency. The test convenience is improved, the accuracy of the fatigue life test result of the rubber corrugated pipe limiting structure is further improved, the double-sample synchronous test is realized, the time consumption of the multi-sample test is greatly shortened, and the detection efficiency of the fatigue test is remarkably improved.

The invention discloses an anti-distortion and anti-compression cable for an oil platform. The anti-distortion and anti-compression cable is suitable for signal or power transmission in a high-corrosion, high-humidity and high-mechanical-disturbance environment. The cable comprises a plurality of strands of silver-plated copper stranded wire core bodies, a micro-foaming silica gel anti-fatigue buffer layer is arranged outside the silver-plated copper stranded wire core bodies, a movable sleeve layer structure is sleeved outside the silver-plated copper stranded wire core bodies, the movable sleeve layer is composed of a low-friction coating, a sliding main sleeve layer and a rigid shape limiting shell layer, the core wires are allowed to slide freely and be sleeved and positioned when bent and twisted, and structural fatigue and dislocation are prevented. The cable filling body is composed of a high-density supporting framework and a flame-retardant silica gel rope, and an anti-torsion fiber braid layer, a metal shielding layer and a multifunctional sheath layer of a sandwich structure are arranged outside the cable filling body. The cable has the advantages of torsion resistance, compression resistance, self-adaptive structure, self-healing protection and excellent shielding performance, adapts to extreme platform working conditions, improves the system reliability and prolongs the service life.

The invention relates to a steel structure fatigue crack detection system based on digital twinning, and the system comprises a sensing module which is used for collecting fatigue crack monitoring data of a steel structure in real time; the digital twinning back-end data fusion and management module is used for analyzing and standardizing the fatigue crack monitoring data and constructing a digital twinning model of the steel structure so as to map the entity state of the steel structure and the spatial distribution condition of the fatigue crack; the analysis module is used for detecting the fatigue crack of the steel structure according to the fatigue crack monitoring data, updating a detection result to the digital twinborn model for state synchronization, and performing crack risk early warning; and the visualization module is used for displaying the fatigue crack monitoring data and the detection and early warning result output by the analysis module. Compared with the prior art, real-time detection, trend prediction and multi-level early warning of the fatigue crack of the steel structure are realized through cooperative operation of sensing, fusion, analysis and visualization, and the safety and decision scientificity of the operation and maintenance stage are remarkably improved.

This invention discloses a method for the dynamic evolution of a digital twin model of a rotor system. First, finite element models of each component of the rotor system are established and modified to obtain a modified rotor system simulation model. Second, based on residual stiffness theory, the dynamic evolution curves of the rotor system state with varying operating conditions and service time are analyzed from three aspects: bearing wear, bolt loosening, and structural fatigue. Then, simulation and experimental data generated by the modified rotor system simulation model and the rotor system test bench under different evolution states under varying operating conditions are collected. The correlation of multivariate evolution is analyzed based on a multi-objective optimization algorithm to obtain accurate dynamic evolution curves of the rotor system state. Finally, the obtained accurate dynamic evolution curves of the rotor system state are input into the modified rotor system simulation model to obtain a dynamic evolution digital twin model of the rotor system.

The invention discloses a meteorological risk analysis early warning system based on meteorological data, and relates to the technical field of meteorological perception early warning, the meteorological data and structure operation data of an area where a power transmission tower is located are collected, wind direction abrupt change feature recognition is carried out to obtain a wind direction abrupt change rate V theta, a sand and dust invasion change index Esant is constructed, and the wind direction abrupt change rate V theta is obtained; the method comprises the following steps: performing sand-dust invasion state evaluation on a sand-dust invasion judgment threshold Ethresh, performing sand-dust impact response analysis when the sand-dust invasion judgment threshold Ethresh is evaluated as a sand-dust impact period, constructing an instantaneous shear wind pressure stress sigma sh, further obtaining a foundation erosion response coefficient Rfd in combination with a sand-dust invasion change index Esant, and performing coupling modeling on the instantaneous shear wind pressure stress sigma sh and the foundation erosion response coefficient Rfd to obtain a foundation erosion response coefficient Rfd. And the structural fatigue rate PLfat is obtained to evaluate the structural safety state of the power transmission tower, so that the response sensitivity of the early warning system to high-frequency sand and dust disturbance is improved, and safe and stable operation of power transmission facilities under extreme weather conditions is ensured.

The invention discloses an anti-swing predictive control method for an offshore crane, and belongs to the technical field of ocean engineering equipment control. The problem that in the prior art, due to control lag and an inaccurate model, the load swing restraining effect of an offshore crane is poor is solved. According to the scheme, the method is characterized in that the state of a crane and prediction information of future waves are obtained in real time through a state sensor set and a multi-source environment sensing system; mixing the prediction model to predict a crane system state sequence under different control instructions in a future time domain in a rolling manner; based on the prediction sequence, solving a reference control track aiming at suppressing swing and reducing structural fatigue in upper-layer optimization, and solving and outputting an instant control instruction meeting the constraint of an execution mechanism in lower-layer rapid optimization; meanwhile, system health management is independently executed, and a control mode is dynamically adjusted according to evaluation. The method is mainly used for precise anti-swing control of the offshore crane under the complex sea condition, load swing can be effectively inhibited in advance, and operation precision and equipment safety are improved.

The invention relates to the technical field of steel pipe concrete structure detection, in particular to a method for detecting fatigue damage of a steel pipe concrete correction structure for waste incineration power generation. The ultrasonic detection signals under different primary frequencies are subjected to comparative analysis of signal intervals with different amplitude changes, and the ultrasonic detection signals under different frequencies are subjected to targeted filtering optimization processing based on analysis results, so that the accuracy of damage information judgment under different frequencies is comprehensively evaluated. Accurately screening ultrasonic detection signals in the detection process of the correction structure according to an evaluation result, and obtaining a fatigue damage detection result of the correction structure based on a screening result; the accuracy of fatigue damage information judgment of the correction structure is improved, and the detection performance of the concrete filled steel tube correction structure at different positions is improved.

The invention discloses a derrick rotation supporting mechanism overturning monitoring system with a remote monitoring function, and relates to the technical field of remote monitoring, and the derrick rotation supporting mechanism overturning monitoring system comprises the following steps: acquiring vibration acceleration and bolt pre-tightening force data, and performing spectrum analysis to obtain a resonance coefficient so as to judge a resonance state; and an overturning coefficient is calculated according to the bolt pre-tightening force time sequence change, so that overturning risk prediction and early warning are realized, and safe operation of a mechanism is guaranteed. Resonance risks are monitored in real time through vibration spectrum analysis, bolt pre-tightening force attenuation and structural fatigue are effectively prevented, the active protection capacity of a system is improved, overturning risks are dynamically evaluated based on bolt pre-tightening force time sequence changes, the chain loosening effect is accurately recognized, overturning advanced early warning is achieved, and the safety and reliability of a mechanism under the complex working condition are enhanced.

The invention relates to the technical field of fatigue load reduction, in particular to a wind power plant torque and variable pitch cooperative control method with fatigue load reduction as the target. The method comprises the following steps: acquiring real-time and historical operation data of each fan in a wind power plant, and preprocessing the operation data; based on the preprocessed operation data, load characteristic indexes reflecting structural fatigue are extracted, and a load state vector reflecting the current fatigue accumulation trend of the draught fan is constructed; and based on the load state vector, establishing a coupling model of the influence of the generator torque and the variable pitch angle on the rotating speed response and the fatigue load, wherein the coupling model is used for reflecting the influence mechanism of torque adjustment on the low-frequency load and the inhibition effect of variable pitch adjustment on the high-frequency load. According to the method, the load state vector fusing the low-frequency mechanical load and the high-frequency pneumatic excitation is constructed, and the rain flow counting and equivalent damage theory is combined, so that the load component which has the greatest influence on the fatigue life of key parts such as a main shaft, a transmission chain, a tower and a blade root is accurately identified.

The invention relates to the technical field of equipment performance detection, in particular to a construction equipment performance intelligent detection method based on an AI algorithm. The method comprises the following steps: acquiring operation data of each monitoring point of the tower crane, further respectively acquiring characteristics of each monitoring point in a time period, and forming a sample by the characteristics of each monitoring point in the time period; forming a sample set of a first node of an isolated tree of the isolated forest by a preset number of samples containing the samples at the current moment; obtaining the sparse degree and the unstable degree of one feature of one sample; obtaining the abnormal distinguishing degree of one feature, further obtaining the segmentation possibility of one feature of each sample, then segmenting the sample set to obtain two sub-sample sets, and so on, segmenting the sub-sample sets until the depth of the isolated tree reaches a preset depth; and obtaining the abnormal degree of the structural fatigue at the current moment according to each constructed isolated tree. The performance of the tower crane can be effectively monitored.

The invention relates to the technical field of structure fatigue evaluation, in particular to a pipe truss structure fatigue analysis parameter optimization method and system based on deep learning, and the method comprises the following steps: constructing a deep learning proxy model fusing a multi-scale structure diagram encoder, a working condition parameter encoder and a damage dimension curve decoder; training the model by using a high-fidelity training data set; for the target truss structure and the load working condition, predicting a damage dimension relation curve through the model; determining the optimal dimension of a rain flow counting matrix by analyzing the convergence characteristic of the curve; and predicting a multi-working-condition damage value through a model, and screening out a dominant working condition based on a damage contribution percentage. According to the method, the deep learning agent model is used for replacing traditional iterative simulation, rapid optimization of key parameters in fatigue analysis is achieved, the efficiency and accuracy of fatigue evaluation of the large truss structure are remarkably improved, and the generalization ability of the model is improved by fusing the physical effect of a multi-scale structure chart encoder to capture key hotspots.

The application provides a ship structure fatigue strength analysis method and system, which calculates the main engine vibration load and the wave load received by the ship structure based on the ship data, the characteristic data of the ship structure and the global sea state data, then calculates the stress response process under the combined action of the wave load and the main engine vibration load, the spectral density function of the stress response process, each order spectral moment of the stress response process and the zero-crossing rate of the stress response process, then calculates the stress response and the stress response peak of the ship structure under the action of the sinusoidal vibration load, calculates the stress cycle number of the ship structure based on the stress response and in combination with the fatigue life S-N curve, further calculates the fatigue damage under the action of the main engine vibration load, and finally calculates the total coupling fatigue damage under the long-term sea state, and further calculates the fatigue damage of the ship structure under the combined action of the high and low frequency loads, which effectively improves the accuracy and reliability of the ship structure fatigue strength calculation.

The invention discloses a cable-beam combined structure 1 / 2 subharmonic resonance vibration reduction method. The method comprises the following steps that S1, the optimal damping force needed by a cable in the current motion state is obtained according to a time-lag vibration reduction rule; s2, calculating a target current required by the MR damper according to the obtained optimal damping force; s3, mapping the target current to a current interval which can be actually applied by the MR damper by using a mapping algorithm to obtain a mapping current; s4, adjusting individual overlarge mapping current to obtain applied current; and S5, current is applied to the MR damper so as to control the cable-beam combined structure. According to the method, the optimal damping force and the target current are accurately calculated, and the time-delay selection rule is combined, so that 1 / 2 subharmonic resonance can be accurately inhibited, the vibration amplitude of the cable-beam composite structure under the specific frequency is effectively reduced, the fatigue damage risk of the structure is reduced, and the service life of the bridge is prolonged.

This invention relates to the field of structural fatigue life prediction technology, and discloses a method and system for predicting the fatigue life of a hinged coupling, comprising: Step 1, acquiring torque and input shaft angular position data, mapping time to angular position and dividing it equally to obtain angular domain torque; Step 2, constructing a load vector based on the angular domain torque and mapping matrix, and converting it into bending stress and torsional stress; Step 3, determining the equivalent stress, principal stress surface direction angle, and rotation rate; Step 4, calculating and correcting the average equivalent stress per revolution; Step 5, calculating the load concentration factor based on the assembly misalignment angle and angular position, generating a dual-sector weight core, and combining it with the rotation rate to obtain a follow-up amplification factor; Step 6, integrating the corrected stress, weight core, and amplification factor to obtain the cumulative damage per revolution; Step 7, determining the life by accumulating multi-revolution damage, and estimating the remaining life revolutions and time if no failure occurs. This invention achieves accurate prediction of the fatigue life of hinged couplings under complex working conditions.

This invention belongs to the technical field of wind resistance performance assessment for the entire life cycle of high-rise steel structures, and discloses a wind-induced fatigue analysis method and its strength degradation model for centrally supported steel frame structures. The method proposed in this invention can effectively assess wind-induced structural fatigue damage and describe the strength degradation law of materials and structural components, while considering the influence of crosswind response and random variables. The steel strength degradation model established in this invention after wind-induced fatigue damage can be used to correct the material parameters of steel structures after fatigue damage, which is crucial for accurately conducting full-life-cycle reliability analysis of high-performance structures.

The present application relates to a method for predicting fatigue crack propagation rate of a diffusion bonded dissimilar titanium alloy laminate structure, which is based on the mechanical properties of the constituent materials of the dissimilar titanium alloy laminate structure, i.e., the quasi-static tensile properties of the two titanium alloy plies. The method for predicting fatigue crack propagation rate of the diffusion bonded dissimilar titanium alloy laminate structure first establishes the relationship between the fatigue crack propagation rate of the laminate structure and the mechanical properties of the laminate structure, and then establishes the relationship between the mechanical properties of the laminate structure and the mechanical properties of the dissimilar titanium alloy single ply, thereby describing the relationship of the fatigue crack propagation rate of the laminate structure. Compared with the prior art, the method of the present application has the advantages of simple and convenient test, engineering precision, rapid and practical, etc., and effectively reduces the test cost and test time required for crack propagation test of the dissimilar titanium alloy laminate structure processed from different parameters.

The application discloses an anti-seismic gate for a hydropower station gate, which comprises a gate plate, a guide rail structure and an adjusting box. A monitoring vibration sensor is arranged on the gate plate, and the guide rail structure is fixed to the upper end of the gate plate. The adjusting box is fixed to the guide rail structure and moves back and forth on the gate plate through the guide rail structure, and the adjusting box is internally provided with a filler. When the vibration frequency of the gate plate reaches a preset value, the adjusting box is moved to reduce the vibration of the gate plate. The gate of the application can monitor the frequency of the gate plate in real time through the vibration sensor, trigger the movement of the adjusting box to dynamically adjust the mass distribution, accurately avoid the resonance frequency band, and significantly improve the anti-seismic efficiency and avoid structural fatigue damage through the replaceable design of the filler in combination with damping energy consumption and frequency self-adaptation.

The present application belongs to the technical field of mechanical structure health monitoring and life prediction, in particular to an engineering machinery load-bearing structure fatigue life intelligent monitoring method, comprising the following steps: step one, establishing a high-fidelity geometric model; step two, establishing a finite element model; step three, constructing a finite element simulation dataset; step four, constructing a neural network proxy model; step five, obtaining working parameters and loading history; and step six, integrating a visual operation and maintenance platform. The engineering machinery load-bearing structure fatigue life intelligent monitoring method can intelligently deduce the evolution process of fatigue damage based on the working parameters and loading history of the structure, realize dynamic calculation of the remaining life and real-time early warning of the service risk, save computing resources, improve the efficiency of fatigue life evaluation, and solve the problems of dependence on offline simulation, response lag, and discontinuous evaluation in traditional structure life management, thereby effectively improving the intelligent operation and maintenance level of engineering machinery and providing protection for safe and efficient operation.

The application provides a structure fatigue test device based on a loading actuator, which comprises a base, the upper surface of the base is vertically fixedly connected with a plurality of support columns, the upper part of the surface of the support column is fixedly connected with a support plate, the upper surface of the support plate is vertically fixedly connected with an MTS actuator body, the bottom end of the MTS actuator body is pulled and extended to the lower part of the support plate and is fixedly connected with a moving box. The structure fatigue test device based on the loading actuator can drive the two first inner support blocks to move away from each other through the first transmission mechanism after the two first inner support blocks are embedded into the top inner part of the automobile elastic component structure, and can perform the extension and contraction deformation fatigue test on the automobile elastic component structure through the extension and contraction movement of the MTS actuator body after the top inner support of the automobile elastic component structure is fixed by the first inner support blocks.

The application discloses a low-load cutting method and system for a mixed structure fatigue test load spectrum, and relates to the technical field of aircraft structure fatigue test, and comprises the following steps: acquiring an aircraft mixed structure fatigue life cumulative distribution function under a load spectrum according to a spectrum load fatigue life distribution of an aircraft mixed structure and each structural detail under the load spectrum; acquiring a CVM distribution distance between the aircraft mixed structure fatigue life cumulative distribution function under the load spectrum and a fatigue life distribution under a cutting spectrum, so that the distribution distance is within a set fatigue life distribution difference tolerance value; and selecting a maximum value in all low-load cutting levels corresponding to the distribution distance within the set fatigue life distribution difference tolerance value when low-load cutting is performed on an aircraft mixed structure fatigue test load spectrum. The application makes the mixed structure have the same fatigue life distribution under the cutting spectrum and the load spectrum.

The invention discloses a wind power generator stator winding fault diagnosis method, and relates to the technical field of wind power generators. The method comprises the following steps: detecting winding end surface roughness, environment humidity and vibration data features which are combined into a first risk-induced feature set, and detecting surface roughness and vibration data features which are combined into a second risk-induced feature set at the joint of a straight line segment and the end; extracting a first correlation factor between historical risk correlation data and a historical coverage area value in the historical risk detection data, obtaining a second correlation factor to which the connection part of the straight line segment and the end part belongs according to the first correlation factor, and obtaining a first risk induction feature set according to the first correlation factor and the first risk induction feature set; and estimating an insulativity reduction risk index and a structural fatigue aggravation risk index to which the end part of the winding belongs currently, and estimating a risk temperature value of the connection part of the straight line segment and the end part after the temperature rise is generated currently according to the second correlation factor and the second risk-induced feature set. The risk diagnosis efficiency can be improved.

The application discloses a kind of bridge crane stress history acquisition method and system, the method includes obtaining the characteristic data of crane actual working state under preset time;The hoisting load data of preset time is expanded by Latin hypercube sampling technique, obtain the hoisting load data of crane inspection cycle, the hoisting load data of inspection cycle is input into the pre-trained tentacle-least squares support vector machine prediction model, and the predicted working cycle number is obtained;The hoisting load data of inspection cycle and the predicted working cycle number are converted into the trolley wheel pressure of equal sample size;The finite element model of crane girder is established, and the trolley is simulated with random load at rated speed from the side span of girder to the other side span, after traversing all trolley wheel pressure load, the stress history of crane girder at any position in inspection cycle is obtained.The application provides high-precision stress characteristic data for crane structure fatigue life assessment.

The application relates to the technical field of structural design, and discloses a powder regeneration equipment structure design system based on mechanical analysis, which comprises the following modules: a multi-source data acquisition module, which acquires initial structure three-dimensional grid data of powder regeneration equipment; a space-time mechanical mapping tensor construction module, which constructs an initial space-time mechanical mapping tensor set; a double-branch feature extraction module, which extracts a steady-state topological correlation feature matrix among nodes through a space topology branch of the space-time double-flow graph convolution network, and extracts a local node transient mechanical peak value feature matrix through a time sequence evolution branch of the space-time double-flow graph convolution network; a hidden variable feature space iterative updating module, which acquires a target hidden variable feature space; and a structure design parameter reverse generation module, which generates target powder regeneration equipment structure design parameters; the application can improve the rationality and adaptability of powder regeneration equipment structure design, and reduce structural fatigue stress concentration and powder deposition dead zones.

The present application relates to the technical field of ultra-high performance concrete, and particularly discloses a fatigue performance evaluation method for a steel-UHPC combined bridge deck, which is used to solve the problem that the existing evaluation method does not consider the influence of structural fatigue performance degradation, and it is difficult to accurately predict the fatigue damage evolution process of the steel-UHPC combined bridge deck in its service life, resulting in that the evaluation result may be unsafe; according to the structural parameters and material properties of the reinforced UHPC layer, the fatigue performance of the reinforced UHPC component under the action of axial tension fatigue load is evaluated, the fatigue performance of the super-thin UHPC bolted connection under the action of shear fatigue load is analyzed, the bending fatigue performance of the steel-UHPC-paving combined plate is analyzed based on the five-point bending test, and the time-varying fatigue analysis framework of the steel-UHPC combined bridge deck with the degradation of steel-concrete combined effect is established, so that the evaluation result is more reliable, and the risk of being unsafe is reduced.