193 / 2025-06-13 16:44:57

Research on Fatigue Damage Health Monitoring and Visualization System for Automated Terminal Quayside Container Cranes

Quayside container crane, Fiber Bragg grating sensing, Fatigue damage monitoring, Visualization system

To address the challenge of structural fatigue damage monitoring in automated terminal quayside container cranes (QCCs), this study proposes an integrated health monitoring and visualization system combining fiber Bragg grating (FBG) sensing technology with a data-driven approach. Through rigid-flexible coupled dynamic analysis, high-risk fatigue-prone zones in critical structural components (including variable cross-sections of front/intermediate tie-rods and mid-span upper cover plates of the front girder at measurement points A-D) were identified, and an optimized FBG sensor deployment scheme was developed. The developed monitoring system achieves real-time high-precision stress state acquisition. By integrating a multiaxial stress equivalence method and rapid rainflow counting algorithm with a fatigue cumulative damage model, the system predicts structural remaining service life (24, 19, 19, and 15 years for points A-D respectively). The fatigue damage visualization system, incorporating IoT and big data technologies, provides comprehensive functions including health diagnosis, damage prediction, and dynamic visualization. After 18 months of stable operation on a QCC at a container terminal, the system's reliability and engineering applicability have been validated, offering critical technical support for intelligent maintenance of port cranes.