Application and implementation of the bond graph methodology on the structural damage detection and monitoring of aeroengines

Advancements in structural safety are of prominent importance in various industrial sectors. A significant body of research has been dedicated to proposing theoretical and empirical guidelines for detecting, localizing, and assessing the severity of damage to structures. This research proposes a novel theoretical approach that employs a bond graph methodology to perform structural health assessments of aeroengine structures. In this work, a reduced aeroengine model is proposed. Using the bond graph technique, the governing dynamic equations of motion can be determined. The results obtained from the analysis can then be used to perform a structural health assessment of the aeroengine. The outcomes allow for detection and localization of any damage to the structure, based on the regions identified. In the present study, damage indicator factors have also been determined for specified aeroengine regions, which can be used to localize damage and assess the severity of its propagation in an aeroengine. The proposed theoretical structural health monitoring methodology has notable advantages over other processes proposed in the literature. The present work allows for a reduction in the cost associated with damage detection, localization, and propagation. The proposed theory offers an accurate theoretical benchmark for comparison with experimental data when assessing structural integrity. Moreover, the proposed methodology can be used to develop and implement design modifications based on design objectives, ensuring continuous and safe operation of aeroengine structures. (C) 2021 Elsevier Masson SAS. All rights reserved.

Automated summary

The research proposes a novel theoretical approach using bond graph methodology for structural health assessment of aeroengine structures. The results can detect and localize damage to the structure, with damage indicator factors identified for specified regions to assess severity of propagation. The proposed methodology offers advantages over other processes, reducing costs associated with damage detection and providing an accurate benchmark for structural integrity assessment.