272 results about "Load spectrum" patented technology

The invention discloses an automobile chassis lightweight structure design method based on topological optimization, and relates to the technical field of lightweight design. Constructing a macro-micro coupling model, and simulating and quantifying material parameter fluctuation by using Monte Carlo; establishing a rigid-flexible coupling multi-body dynamic model, simulating working conditions such as braking and turning, and generating a load spectrum by using a rain flow counting method; constructing a multi-objective function containing light weight, rigidity and modality, and solving manufacturing constraints such as pattern draft and the like by using an NSGA-II (Non-dominated Sorting Genetic Algorithm-II) algorithm; dividing steel, aluminum and carbon fiber material domains; and fusing bench test data to correct the model. According to the method, multi-scale collaborative optimization is realized, dynamic loads are accurately mapped, and light weight and performance are balanced; the connection reliability is improved through the multi-material gradient design; manufacturability is ensured through feature recognition and process verification; the batch consistency is guaranteed by digital twinning and robustness optimization; the chassis design efficiency and quality are integrally improved, and the service life is prolonged.

The invention relates to the technical field of crane equipment health monitoring, in particular to a crane running state health monitoring system and method. A sensing data acquisition unit is used for acquiring a winding drum vibration harmonic component, a steel wire rope leakage magnetic field gradient and a pulley block real-time load; the data analysis unit performs rotating speed synchronous variational mode decomposition on the vibration component to extract resonance characteristics, performs temperature and stress double-compensation correction on a leakage magnetic field gradient, quantifies an energy entropy attenuation rate through wavelet packet decomposition, constructs a phase difference model of a load and vibration to output a slip risk phase offset, calculates a load spectrum damage cumulant, and calculates a load spectrum damage cumulant; and after the four heterogeneous features are fused, a residual life coefficient is output through a dual-channel convolution-long and short-term memory hybrid neural network, and an execution unit triggers crane speed reduction control when the residual life coefficient is lower than a threshold value, so that the problems of insufficient multi-source data fusion and lack of dynamic compensation in the traditional technology are solved, and the fault early warning accuracy is improved.

The invention provides an automatic leak detection method and system for a dynamic bending durability test of a metal corrugated pipe, and relates to the technical field of metal corrugated pipe performance tests.The method comprises the steps that a to-be-tested metal corrugated pipe is installed on a test station, and test working condition parameters are set through a PLC; the test working condition parameters comprise a bending motion mode, a load spectrum, an internal pressure type, a pressure value, a temperature condition and a test frequency; according to the bending motion mode and the load spectrum, a multi-degree-of-freedom bending motion mechanism is driven to apply a dynamic bending load to the metal corrugated pipe; and when the dynamic bending load is applied, internal pressure is applied to the interior of the metal corrugated pipe according to the internal pressure type and the pressure value, and a temperature environment is synchronously applied, so that a multi-factor coupling load is formed. According to the invention, on the basis of working condition setting, through multi-source data acquisition, correction and fusion determination, an automatic closed loop of test execution, abnormity alarm, helium detection quantification and report generation is realized.

The invention discloses a cable-stayed bridge cross brace optimization system based on system reliability and an intelligent algorithm, which relates to the technical field of bridge engineering, and comprises a multi-source parameter input module used for collecting and processing data such as a main beam section, stay cable parameters, a strain sequence, a vibration sequence, a satellite cloud picture, a traffic monitoring flow, laser point cloud and the like; and outputting the structured design data, the monitoring data flow, the dynamic load spectrum, the probability distribution model and the construction error correction parameters. According to the invention, all-dimensional data such as design, monitoring, load, materials and construction errors are integrated through the multi-source parameter input module, and multi-level and dynamic reliability evaluation is carried out on the component, the subsystem and the system level by using the system reliability analysis module, so that the component failure probability, the system reliability index time sequence and the like can be output; therefore, the real reliability level of the cross brace of the cable-stayed bridge in the whole life cycle is reflected more accurately, and the one-sidedness of a traditional method is avoided.

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

The invention belongs to the field of data processing, particularly relates to a wind turbine generator gear box tooth surface strength optimization method considering multi-working-condition load distribution, and aims to solve the problem that the optimization effect is affected due to the fact that strength optimization checking is carried out only for a single working condition in the prior art. The method comprises the following steps: acquiring working condition data of the gearbox under various preset working conditions; load spectrum decoupling processing is conducted on the working condition data, a dynamic load distribution matrix synchronous with the tooth surface meshing period is determined, stress field conversion is conducted on the dynamic load distribution matrix, and a tooth root bending stress field and a tooth surface contact stress field are obtained; inputting the tooth root bending stress field and the tooth surface contact stress field into a pre-constructed double-constraint optimization model to obtain a tooth surface strengthening parameter tensor output by the model; and inputting the tooth surface strengthening parameter tensor into a preset process mapping system. Based on the method provided by the invention, the multi-working-condition operation data of the gearbox are synchronously obtained for optimization calculation, and the limitation of traditional single load analysis is broken through.

The invention discloses a method and a system for testing corrosion fatigue of a bone implantation device under a pathological condition, and relates to the technical field of orthopedic medical device evaluation, and the method comprises the following steps: constructing a dynamic load spectrum database covering physiological and pathological states; in-vitro reproduction of a dynamic mechanical environment borne by the bone implantation instrument in physiological and pathological states is completed through a multi-axis servo system; and acquiring service state data of the bone implantation instrument, and analyzing the service state data of the bone implantation instrument to obtain coupling experiment data. According to the invention, the defects of single load mode and environment simulation distortion in the traditional test method are overcome, high-fidelity simulation and comprehensive monitoring of the corrosion fatigue behavior of the bone implantation device under the pathological condition are realized, the consistency of the in-vitro test result and the in-vivo actual service performance is improved, and the application prospect is wide. And a scientific and unified evaluation basis is provided for material screening, structure optimization and service life evaluation of different types of bone implantation instruments.

The invention discloses a method for rapidly evaluating the service life of a turbine cooling blade based on flight parameters, and belongs to the technical field of aero-engines. The method comprises the following steps: acquiring a load spectrum, a material, a structure and working state parameters of the turbine blade; establishing a blade finite element model and performing fluid thermosetting coupling analysis to obtain temperature field and stress field distribution; determining a dangerous part of the blade based on the temperature field and stress field distribution; respectively establishing a creep durability model, a low-cycle fatigue model and a fretting fatigue life model for dangerous parts; and finally, updating the model based on load spectrum data monitored in real time, and calculating the residual life of the blade. According to the method, the intrinsic performance of the material is associated with the characteristic structure of the blade, and the efficient life prediction model is constructed based on limited test data, so that the life consumption of the turbine blade is quickly and accurately evaluated according to actual flight parameters.

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 an intelligent variable pitch control method, system and equipment for a wind generating set, and relates to the technical field of wind generating set control, and the method comprises the steps: synchronously collecting multi-source data in real time through a multi-source heterogeneous sensor array, constructing a dynamic load spectrum matrix, and carrying out nonlinear optimization; an optimal pitch angle sequence is generated to drive a variable pitch execution mechanism, meanwhile, the blade stress change rate is monitored in real time, and an aerodynamic load-structure response coupling factor is calculated; when the factor exceeds a safety threshold, the pitch angle command is reconstructed and the pitch angle is forcibly adjusted to a preset safety angle. The technical problems that the power generation efficiency and the structure safety are difficult to consider under the complex turbulence condition and a safety protection mechanism under the over-limit working condition is lacked in the variable pitch control of the existing wind generating set are solved, and the aim that the power generation efficiency and the structure safety are effectively improved through nonlinear optimization control and introduction of an over-limit triggered standby control path is achieved. And the technical effect of dynamic unification of power generation efficiency and structural safety in a complex turbulence environment is achieved.

The invention discloses a bridge anti-fatigue performance analysis and optimization method and system based on finite element analysis. The method comprises the following steps: constructing a bridge finite element basic model and a random fleet time-varying load spectrum, and executing damage-rigidity dynamic coupling iterative calculation; a fatigue sensitive area is automatically identified through the strain energy density gradient, a high-precision sub-model is generated, a basic model stiffness matrix is updated in real time through a sub-model calculation result, and a fatigue evolution cloud picture containing a stiffness degradation track is generated; and finally, identifying a damage hotspot based on the cloud picture, and generating an optimization strategy containing a traffic current limiting threshold and a structure reinforcement opportunity by using a genetic algorithm. According to the method, the problem of prediction deviation of traditional static analysis is solved by simulating the reverse influence of damage on rigidity and internal force redistribution, and accurate evaluation and scientific decision-making of the whole life cycle of the bridge are achieved.

The invention discloses a typical mission profile-based water surface aircraft water surface load spectrum compilation method. The method comprises the following steps of: (1) determining a typical mission profile and a take-off and landing sea area of a water surface aircraft; (2) determining a wave parameter distribution condition of the take-off and landing sea area, and further determining a wave parameter distribution diagram; (3) calculating to obtain a gravity center overload time domain curve of the water surface aircraft under different wave parameters of each mission profile; carrying out filtering and statistical analysis on the gravity center overload time domain curve of the water surface aircraft to obtain a gravity center overload exceeding number of each task profile in each state; (4) weighting according to the proportion time of each working condition of the typical mission profile to obtain a gravity center overload override curve of each stage of the water surface aircraft; and (5) compiling a water surface load spectrum table. Technical reference can be provided for evaluation of the take-off and landing fatigue life of the water surface aircraft.

The invention provides a service life prediction method and device for an industrial robot RV speed reducer, and relates to the technical field of speed reducer service life prediction.The method comprises the steps that an acceleration load spectrum is determined according to torque and time history data, and multi-stage loads in the acceleration load spectrum are woven into a program block spectrum according to a preset sequence; all levels of loads in the accelerated load spectrum serve as independent working conditions to be applied to the multi-body dynamic model for dynamic simulation, a load and time history curve set of the key weak component is obtained and input to the cumulative damage model for life calculation, the simulated predicted life is obtained, and a damage cloud picture is generated; taking the program block spectrum as a test loading instruction to carry out an RV speed reducer accelerated life test to obtain a test observation life and a physical failure morphology; if the two are in the corresponding preset deviation range, taking the simulated predicted life as the predicted life of the current RV speed reducer; the problems of long test period, high cost and low reliability of a simulation model are solved.

The invention relates to the technical field of electric power fitting testing, in particular to an electric power fitting aging testing device and method, the stress state of an electric power fitting in actual use is simulated through the cooperation of a tensioning mechanism and a mechanical loading mechanism, environmental loads such as temperature change, humidity change and salt mist are applied through an environmental load simulation mechanism, and the aging test of the electric power fitting is achieved. And meanwhile, alternating current is applied to the electric power fitting through the power supply module, so that the actual load of the electric power fitting is comprehensively simulated, a test environment identical to an actual application environment is constructed, and the reliability of a test result is ensured. And meanwhile, an equivalent cable simulation load spectrum is deduced according to historical load data by using a fatigue damage model, and the tensioning mechanism, the mechanical loading mechanism and the environment simulation mechanism act cooperatively according to the cable simulation load spectrum to carry out aging test on the electric power fitting, so that the test time is shortened, and the accuracy of an aging test result is ensured.

The invention discloses a vibration fatigue life prediction method and system based on a working condition adaptive spectrum. According to the method, load information of a target structure under various service conditions is obtained, and frequency domain load descriptions corresponding to different working conditions are subjected to weighted fusion according to working condition weights, so that a working condition adaptive load spectrum capable of reflecting real service characteristics is constructed; on the basis, frequency domain stress response of the structure under the random vibration condition is obtained in combination with a structural dynamics analysis model, equivalent stress description of dominant fatigue damage is further determined through a multi-axis equivalent criterion, and fatigue damage distribution is calculated through a frequency domain fatigue analysis method; and finally, predicting the vibration fatigue life of the structure in combination with a material fatigue performance curve and an environment-related performance correction relation. Compared with the prior art, the method has the advantages that the multi-working-condition load superposition effect and the service environment influence can be effectively considered, and the accuracy and engineering applicability of vibration fatigue life prediction are improved.

The invention discloses a battery aging test method and system for optimizing a charging strategy of an electric vehicle charger, and the method comprises the steps: collecting real driving information, constructing a load spectrum, defining an accelerated aging load function, and enabling a battery to generate equivalent cumulative aging damage within a preset time, and controlling the testing device to accelerate aging of the battery to a target state, testing the battery in the state by using multiple charging strategies, recording parameters, and optimizing the charging strategies after analysis and evaluation. The system comprises a load simulation module, a charging module, a data acquisition module, a control module and a processing module, and can realize load output, multi-strategy charging, parameter acquisition and data analysis optimization. According to the scheme, the data of the batteries in different aging states can be quickly obtained, the test period is shortened, the charging strategy research and development efficiency and accuracy are improved, the battery safety is guaranteed, and support is provided for efficient use and management of the batteries of the electric vehicles.

The invention discloses a multi-dimensional load spectrum construction and damage quantification method, system and device for a vacuum breaking type GIS operating mechanism and a medium. The method comprises the following steps: acquiring a working condition signal of a key moving part; preprocessing the working condition signal to obtain a composite variable stress spectrum; obtaining a nonlinear exponential factor to improve Miner calculation, carrying out load grade division based on the composite variable stress spectrum, and constructing a multi-factor coupling function; in combination with load grade division and a multi-factor coupling function, carrying out multi-stage cyclic superposition and strain history reconstruction, and in combination with an improved Miner rule, calculating total damage to obtain a damage result; and coupling a damage result with the finite element model of the operating mechanism, and predicting the fatigue life. According to the method, the stress amplitude, the loading sequence, the temperature change and other multi-factor coupling effects can be effectively considered, and the fatigue evaluation accuracy and the engineering applicability are improved. The method is suitable for state monitoring, life prediction and operation and maintenance optimization of the high-voltage switchgear.

The invention relates to a multi-axial fatigue life prediction method and electronic equipment, and the method comprises the steps: obtaining multi-axial fatigue experiment data of a to-be-predicted material, including material performance data and a load spectrum; decomposing the load spectrum to obtain a plurality of half cycles of reaction material loading conditions; calculating normal stress and shear stress on each slope based on the load spectrum data, and calculating fatigue life and damage corresponding to each semi-cycle based on an equivalent stress model; on the basis of an equivalent damage theory, carrying out weighting processing on an inclined plane included angle corresponding to a maximum shear stress surface, calculating a critical plane where fatigue damage occurs, calculating equivalent stress of each semi-cycle, and carrying out fatigue life prediction on the critical plane based on the equivalent stress. Compared with the prior art, the method has the advantages that the accuracy of calculating the critical surface and predicting the fatigue life is improved, the operation is simple, and the implementation cost is low.

The invention relates to the technical field of fatigue simulation, in particular to a method for quickly predicting fatigue life and related equipment. The method comprises the steps of obtaining fatigue life evaluation parameters; the fatigue life evaluation parameters are preprocessed; performing multi-dimensional damage feature extraction on the preprocessed fatigue life evaluation parameters through the physical quantity change rate to obtain multi-dimensional features; performing compression parameter adaptive optimization on the multi-dimensional features through a multi-target genetic algorithm to obtain an optimal parameter combination; carrying out compression load reconstruction on the multi-dimensional features and the optimal parameter combination to obtain a compression load spectrum; and performing closed-loop verification and iteration on the compression load spectrum to obtain a target load spectrum. According to the method, the calculation efficiency and the adaptive capability can be remarkably improved while the prediction precision is ensured.

The invention discloses a construction method and device of a bucket load spectrum generation model, equipment and a medium. The method comprises the steps that a physical test bed is controlled to apply multi-dimensional dynamic loads to all stress point positions of the hydraulic excavator, and the hydraulic excavator is controlled to execute simulation operation according to working condition types; instantaneous loads acting on the bucket after the loads are transmitted to all the stress point positions are recorded in real time, and all the instantaneous loads are gathered to form a three-dimensional load spectrum of the bucket; collecting dynamic response data generated by each stress point position, associating the three-dimensional load spectrum with the dynamic response data to form training sample pairs, aggregating the training sample pairs to form a training data set, performing characterization processing, inputting the training data set into an original deep learning model for iterative training, and obtaining a three-dimensional load spectrum; and taking the deep learning model meeting the iteration termination condition as a hydraulic excavator bucket load spectrum generation model. According to the embodiment of the invention, the virtual rack is constructed by a physical test rack of a small number of excavator samples, and a basis is provided for efficiently generating reliable bucket load spectrums for batch excavators.

The invention discloses an aero-engine double-characteristic program spectrum compilation method, and relates to the technical field of aero-engine structural part load spectrum compilation, and the aero-engine double-characteristic program spectrum compilation method comprises the steps: obtaining and preprocessing an aero-engine load time history, and obtaining an aero-engine load cycle; performing clustering analysis to obtain a typical characteristic cycle, and constructing a typical characteristic load program spectrum block; establishing a multi-objective optimization model, solving by using a particle swarm to obtain an optimal load grade frequency, and determining the number of program spectrum block loads of each grade of typical characteristic circulation; and determining the sequence of program spectrum blocks according to the position of a typical characteristic load hysteresis loop. According to the method, blindness of a traditional equal-interval or fixed-proportion division method is effectively overcome, scientificity and representativeness of load grading are remarkably improved, program spectrum compiling work is remarkably simplified, and standardization, repeatability and engineering implementation efficiency of the program spectrum compiling method are improved.

The invention relates to the technical field of photovoltaic support detection, in particular to a photovoltaic panel support load stress detection device, which is characterized in that all modules of the photovoltaic panel support load stress detection device are in close cooperation, comprehensive and accurate detection is realized, and the result accuracy and reliability are improved. The load simulation module generates a non-uniform load spectrum and accurately restores wind and snow loads; the mixed test frame module accurately controls the tension degree of the steel strand to ensure the test stability; the distributed optical fiber sensing modules are deployed in a high-density manner, so that global stress monitoring is realized; the superposition test module synchronously evaluates the long-term reliability of the bracket; the data fusion analysis module comprehensively evaluates the stress state and assists in operation and maintenance decision making; the early-warning operation and maintenance module predicts failure in advance and formulates an operation and maintenance strategy; the measurement and control processing module manages all the modules in a centralized mode and optimizes resource configuration. Therefore, the problem of inaccurate load simulation in the existing photovoltaic panel support load stress detection is solved.

The invention provides a wind power gear box sliding bearing lubrication contact risk analysis method, which comprises the following steps: screening out a key working condition from a plurality of wind power working conditions, and obtaining an envelope sampling load spectrum containing a plurality of load grades in combination with the key working condition; constructing a wind turbine generator transmission chain multi-flexible dynamic model; the envelope sampling load spectrum containing the multiple load grades serves as an input load of the transmission chain multi-flexible-body dynamic model, the transmission chain multi-flexible-body dynamic model is solved, and the sliding bearing contact pressure and the sliding bearing contact time are obtained; and calculating the lubricating contact risk of the planet gear sliding bearing according to the sliding bearing contact pressure and the sliding bearing contact time. According to the method, the wind power working condition calculation number can be greatly reduced, key core working conditions can be rapidly identified and extracted, and the effect similar to full working condition simulation can be rapidly achieved; the method can effectively represent the potential contact risk of the sliding bearing under different working conditions, and is suitable for rapidly evaluating the influence of the working condition change on the lubricating contact of the sliding bearing of the wind generating set transmission chain.

The present application belongs to the technical field of aircraft structure fatigue strength, and particularly relates to a method for converting a buffeting frequency spectrum of an aircraft structure into a fatigue load spectrum, comprising the following steps: Step 1: processing buffeting response load data of the aircraft structure to obtain a first-order bending modal characteristic frequency f1; Step 2: performing narrowband filtering on the buffeting response load data, and calculating a root mean square value σ of the filtered narrowband buffeting response load data; Step 3: performing rainflow counting on the filtered narrowband buffeting response load data to count the amplitude distribution of the narrowband buffeting response load data; fitting the amplitude distribution of the narrowband buffeting response load data with a Rayleigh distribution; and equivalently distributing the amplitude distribution fitted with the Rayleigh distribution to three typical load amplitudes; and Step 4: establishing a periodic step load spectrum according to the frequency of the three equivalent typical load amplitudes.

This invention relates to the field of electric drive technology, and particularly to a dynamic matching method, device, system, medium, and product for electric drive systems based on load spectrum driving. The method includes: acquiring load spectrum data based on the operating conditions of the electric drive system and the fatigue work cycle table of engineering machinery; classifying the load spectrum data, judging the motor's overload suitability, and compiling a cyclic load spectrum; obtaining the motor's theoretical temperature rise result and the motor's thermal simulation temperature result; dynamically adjusting the motor's thermal capacitance coefficient and thermal resistance coefficient based on the obtained motor theoretical temperature rise result and motor thermal simulation temperature result; and outputting the final motor thermal capacitance coefficient and motor thermal resistance coefficient. For redundancy optimization in motor overload matching, a closed-loop process of drive system load spectrum acquisition – load spectrum analysis – overload temperature rise theoretical calculation – motor thermal simulation verification is used to solve the problems of excessive redundancy, insufficient dynamic adaptability, and poor economy in traditional motor selection.

The invention discloses a load spectrum processing method of a driving system. The method comprises the steps that multiple pieces of operation data corresponding to a driving system are obtained, and the driving system corresponds to multiple transmission routes; classifying the plurality of operation data to obtain operation data sets corresponding to the plurality of transmission routes; based on the operation data set corresponding to the transmission route, a target working condition road spectrum corresponding to the transmission route is constructed, and the target working condition road spectrum comprises operation data fragments corresponding to a plurality of working conditions; and performing load simulation on the target working condition road spectrum by using the vehicle dynamics simulation model to obtain a load spectrum corresponding to the transmission route. According to the invention, the technical problem of insufficient accuracy of the generated load spectrum of the driving system in the prior art is solved.

The invention provides a wellhead device fatigue life prediction analysis method, and relates to the technical field of underground engineering, and the method comprises the following steps: collecting load spectrum, material degradation, environmental corrosion and historical maintenance data of a wellhead device, and establishing a four-dimensional damage factor matrix; performing preprocessing and feature fusion on the multi-source data; a self-attention LSTM network is constructed; according to the method, four key factors including a load spectrum, material degradation, environmental corrosion and historical maintenance are brought into a unified analysis framework through the four-dimensional damage factor matrix, the one-sidedness problem of single factor analysis in a traditional method is solved, and the attention weight among multi-source data can be automatically learned through the self-attention LSTM network; according to the method, the capability of extracting multi-physical field parameter correlation characteristics in a complex service environment can be remarkably improved, a fatigue life probability distribution curve is generated in combination with Monte Carlo simulation, a prediction result containing a confidence interval is provided, and a more scientific quantitative basis is provided for equipment maintenance decisions.

This invention relates to the field of data processing technology and discloses a method and system for strength analysis of a towed catering truck chassis structure. The method includes: acquiring structural geometric data, material property data, and load condition data of the target catering truck chassis; reorganizing the torque components of the main components of the target catering truck chassis and determining the dynamic load spectrum based on the reorganized torque components and load condition data; performing structural mesh generation on the target catering truck chassis to obtain meshed finite element rules; applying the dynamic load spectrum to the finite element rules and performing finite element static and dynamic simulations to obtain stress distribution data and displacement deformation data; performing structural strength verification on the target catering truck chassis to obtain structural strength results; and integrating the structural strength results, stress distribution data, displacement deformation data, and dynamic load spectrum into a comprehensive strength analysis report. This invention can improve the efficiency of strength analysis of towed catering truck chassis structures.

The invention discloses a seaplane wave sliding load spectrum compilation method. The method comprises the steps of determining gravity center acceleration data of pool test data of each task section according to overall and structural parameters of a seaplane; comparing a gravity center acceleration time history curve representing the gravity center acceleration data with an airframe trim angle time history curve, and intercepting stable section data of each task section; performing power spectrum density analysis on acceleration overload / overload increment in the stable section data to obtain an acceleration characteristic frequency band; determining a cut-off frequency according to the acceleration characteristic frequency band, and filtering the stable section data; carrying out accumulated transcendental statistics on the filtered stable section data to obtain an accumulated transcendental curve of each task section; according to the time proportion of each task segment and the similarity criterion, obtaining an accumulative surpassing curve of each task segment of the real machine water surface operation; and forming a body wave sliding equivalent spectrum according to a damage equivalence criterion. The technical problem of compiling and verifying the water skiing fatigue load spectrum of the seaplane is solved.

The invention provides a connecting rod fatigue life evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining connecting rod fatigue life original data under multistage loads, constructing a structured data set, and training a deep neural network model according to the structured data set; predicting the life uncertainty of each load point in a preset target load range according to the trained network model, selecting the load point with the maximum life uncertainty to perform a fatigue test, and updating the network model according to a test result to obtain optimized S-N curve parameters and life distribution parameters; and based on the real-time load spectrum data, the optimized S-N curve parameters and the life distribution parameters, carrying out variable-amplitude load life calculation through a life distribution formula and a damage formula to obtain real-time fatigue life and damage contribution degree distribution under different preset survival rates. The accuracy of fatigue life evaluation of the connecting rod is improved, and accurate prediction and dynamic evaluation of the fatigue life under different survival rates are realized.