Data-driven lifetime assessment of marine/offshore structures

Introduction:
Wind Assisted Propulsion Systems (WAPS) are vital for maritime decarbonization. In January 2023, the EU Horizon Europe funding programme approved funding for the Orcelle Wind project, which aims to develop and build a wind-powered ro-ro vessel to be commissioned in late 2026 or early 2027. ORCELLE employs Wing System(WS) technology to generate aerodynamic thrust forces for propulsion.
Motivation:
    - Early detection and identification of malfunction and degradation of critical mechanical components of the wing system help to ensure safe operation
    - Condition-based inspection and maintenance strategies aide in the advancement of safety standards for wind power technology
Project Objectives:
    - Development of numerical tools for data-driven structural integrity assessment (fatigue degradation and lifetime) of the wing system
    - Design and implementation of a sensor suite for load and condition monitoring of the wing system.
Methodology :
In this study, the Stochastic Finite Element Model (SFEM) ensures a comprehensive structural assessment under various conditions. Surrogate models, trained on SFEM data, predict WS structural responses. Stress-life methods will be employed to determine the fatigue life of components, and the WS's structural reliability will be evaluated using Bayesian Networks based on the failure contributions of its critical components. Field sensors will continuously stream real-time data for dynamic system-level failure analysis, supported by Dynamic Bayesian Network (DBN) predictive models.