Mechanism Of Life Parameters Correction For Bridge Cranes Under Adaptive Decommissioning Mechanism

General bridge crane is a common lifting device that is typically located in factories,warehouses,ports,and other locations.It is used primarily for lifting,handling,and stacking of cargo,with the bridge structure serving as the major bearing element of the entire device.Due to manufacturing flaws,fatigue damage,metal corrosion,and other reasons,the bearing capacity of the bridge structure declines during actual service,shortening the actual service life and posing major safety issues.If the fatigue remaining life of the bridge structure can be accurately predicted and the crane product design can be improved to match the service conditions.This will ensure the safe operation of the crane and maximize resource and energy efficiency.In order to achieve this,this paper offers a decommissioning mechanism-driven crane bridge structure design parameters correction method.It focuses on the bridge structure’s dangerous parts,uses finite element analysis software and optimized additive point agent technology,establishes a real-time fatigue life prediction model,and uses adaptive decommissioning information feedback to finish the initial design parameters correction.The following research is done using the QD20/10t×43m×12m general bridge crane bridge structure as an example.1)The parametric finite element model of the bridge structure is created using the APDL parametric language in order to precisely identify the hazardous components of the bridge structure of the general bridge crane.The static strength,static stiffness,and overall stability of the bridge structure under the most unfavorable service conditions are verified through the statics analysis module in the finite element program MSC.Patran,in accordance with Crane-Metal Structure Capability Verification(GB/T 30024-2020).Based on the gathered typical failure situations,locate the weak stress in the bridge structure,and provide crucial location data for estimating the fatigue life of the bridge structure.2)Using the S-N module and crack extension module of MSC.Fatigue,a finite element model for fatigue damage and life prediction was established for the fatigue life assessment of the bridge structure of the general bridge crane based on the measured load data combined with the work cycle process,portraying the randomness of the parameters related to service conditions.In order to extend the stress weakness location under static analysis,fatigue is used to identify the fatigue hazard area,provide local information for bridge structure crack extension,simulate the bridge structure’s remaining life under stochastic conditions,and examine the impact of various crack depths on the structure’s remaining life.3)To quickly evaluate the safety of damaged bridge structures in the service process of cranes,a real-time prediction method for the fatigue life of bridge structures based on the optimal additive agent model is proposed.The Kriging model for the life prediction of the bridge structure that is optimized by the Pelican Optimization Algorithm and additive point criterion is created by the Latin Hypercube Sampling method and the black box theory.The real-time fatigue life prediction of bridge structures during trolley movement with load by Miner linear cumulative damage theory.To demonstrate the viability of the suggested approach,a general bridge crane with a bridge structure of QD20/10t×43 m×12 m is used as an example.When comparing the proposed method to the conventional method for calculating fatigue life based on finite element simulation,the results reveal that it can accurately determine how much longer the damaged bridge structure will last with fewer simulation calls and less time spent simulating.This can be of some reference significance for the formulation of crane maintenance cycles and decisions regarding scrapping.4)The suggested adaptive decommissioning mechanism is utilized as the theoretical foundation for the initial design life of the crane parameters to modify the procedure for the crane design life and the actual service life of different caused by the "early retirement" or "over service" problem.We redefine the actual load spectrum coefficients,the actual use level,and the actual working level based on the actual service scenario and the historical service information data to rectify the initial design life parameters.Make sure that the overall machine’s design outcome corresponds to its actual operating environment and that the general bridge crane is accurate,high performing,and environmentally friendly.