PSI - Issue 75

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia (2025) 000 – 000

www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 75 (2025) 111–119

© 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under the responsibility of Dr Fabien Lefebvre with at least 2 reviewers per paper In this study the SHM digital twin approach is illustrated using results obtained from a 12.5-ton single box girder crane and a large capacity casting crane. The loading histogram of the crane is accurately measured. Next to that, the strain data is used to calculate the dynamic load factor for hoisting up and down at different speeds. Data is presented of a dataset with measured crane operation events. The results obtained are compared with values considered in crane design methods. With actual measured data, fatigue damage can be more accurately calculated and remaining lifetime can be assessed with increased confidence. © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2025 organizers Keywords: Tubular Joints; Fatigue, welds; Steel, Offshore; Fatigue Design 2025 (FatDes 2025) Enhanced Understanding of Overhead Crane Fatigue Loading Using a Digital Twin Approach Jeroen Van Wittenberghe a and Vitor Adriano a a OCAS NV - ArcelorMittal Global R&D Gent, Kennedylaan 3 9060 Zelzate Belgium Abstract Overhead cranes are critical installations in industrial environments, especially in steel plants where they are subjected to significant cyclic loads and stresses. Traditional inspection methods provide only periodic snapshots of a crane's condition, leading to potential oversights and late-stage damage detection. This paper presents results obtained by a Structural Health Monitoring (SHM) system that leverages a digital twin approach to continuously evaluate the condition of overhead cranes. The SHM system combines data from strain sensors and operational data with a numerical model of the crane. The system calculates fatigue life consumption based on EN 13001 and identifies critical areas requiring inspections, thus preventing costly failures and extending the crane's service life.

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2025 organizers

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under the responsibility of Dr Fabien Lefebvre with at least 2 reviewers per paper 10.1016/j.prostr.2025.11.013