Structural Performance Assessment Method for the Entire Service Life Cycle of Telescopic Cranes Based on Digital Twins

Abstract

To address the health monitoring and safety assessment challenges of telescopic cranes, this study proposes a comprehensive, online structural performance assessment method based on digital twins, applicable throughout the entire service life cycle of telescopic cranes. The modeling of the telescopic boom and turntable, key components of the target telescopic crane, was carried out using ANSYS Workbench. Working condition sample points were generated through a hierarchical Latin hypercube sampling method, and finite element analysis was conducted to construct a simulation stress database. The fatigue life of the target telescopic crane was analyzed using ANSYS nCode DesignLife to estimate its expected fatigue life. The BayeFsian optimization algorithm was employed to optimize the hyperparameters of BO-LightGBM, which serves as the surrogate model for stress calculations. A digital twin system for the structural performance assessment of telescopic cranes was developed, with a structural performance assessment module at its core. The research findings provide valuable insights for crane structural performance assessments based on digital twin technology.