Presentation + Paper
25 April 2023 Digital twin technology development and demonstration for aircraft structural life-cycle management
Min Liao, Guillaume Renaud, Yan Bombardier
Author Affiliations +
Abstract
This paper presents the Airframe Digital Twin (ADT) framework and key technologies for aircraft structural life-cycle management, developed by the National Research Council (NRC) of Canada, with the aim of significantly reducing maintenance cost and extending the remaining useful life of aircraft components. The NRC ADT technologies include high-fidelity structural modelling, probabilistic usage/loads forecasting, probabilistic crack growth modelling, Bayesian updating based on non-destructive inspection (NDI) results, and advanced risk/reliability analysis. To demonstrate the NRC ADT framework, a CF-188 full-scale life-extension test was used as a physical platform to simulate the remaining lifespan of an aircraft component. A series of eddy-current NDI results, obtained during the CF-188 full-scale test, were processed using a Bayesian inference algorithm to update the ADT model. The updated ADT model was then used to predict the remaining service life of the component and to determine the next inspection interval based on the acceptable probability of failure defined by risk-based airworthiness management policies. The ADT-based methods and results were compared with the existing CF-188 lifing approach, which revealed advantages and gaps of the ADT framework for the future aircraft structural life-cycle management in the digital age. This work demonstrated the unique capability of the ADT framework to quantify the effect of NDI capability and reliability, which is crucial to update the ADT model and achieve its benefits for structural life assessment and maintenance scheduling.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Liao, Guillaume Renaud, and Yan Bombardier "Digital twin technology development and demonstration for aircraft structural life-cycle management", Proc. SPIE 12489, NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE, 1248906 (25 April 2023); https://doi.org/10.1117/12.2662879
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Inspection

Modeling

Failure analysis

Monte Carlo methods

Simulations

Bayesian inference

Nondestructive evaluation

Back to Top