Print Email Facebook Twitter Acoustic emission-based remaining useful life prognosis of aeronautical structures subjected to compressive fatigue loading Title Acoustic emission-based remaining useful life prognosis of aeronautical structures subjected to compressive fatigue loading Author Galanopoulos, Georgios (University of Patras) Milanoski, Dimitrios (University of Patras) Eleftheroglou, N. (TU Delft Structural Integrity & Composites; University of Patras) Broer, Agnes A.R. (TU Delft Structural Integrity & Composites) Zarouchas, D. (TU Delft Structural Integrity & Composites) Loutas, Theodoros (University of Patras) Date 2023 Abstract An increasing interest for Structural Health Monitoring has emerged in the last decades. Acoustic emission (AE) is one of the most popular and widely studied methodologies employed for monitoring, due to its capabilities of detecting, locating and capturing the evolution of damage. Most literature so far, has employed AE for characterizing damage mechanisms and monitoring propagation, while only a few employ it for real time monitoring and even fewer for Remaining Useful Life (RUL) prognosis. In the present work, we demonstrate a methodology for leveraging AE recordings for prognostics of composite aerospace structures. Single stiffened CFRP panels are subjected to a variety of compressive fatigue loadings, while AE sensors monitor the panels’ degradation in real time. Several AE features, both from the time and frequency domains, are utilized to identify features capable of capturing the degradation and used as Health Indicators for RUL prognosis. The choice of Health Indicators is predominantly made based on three prognostic attributes, i.e. monotonicity, trend and prognosability, which can overall affect the prognostic performance. RUL prediction of the panels is performed by employing two prominent machine learning algorithms, i.e. Gaussian Process Regression and Artificial Neural Networks. It is evidenced that the proposed AE-based methodology is highly capable to be utilized for RUL prediction of composite structures under variable loading conditions. Subject Acoustic emissionComposite structuresFatigueRemaining useful lifeStiffened panelsStructural health monitoring To reference this document use: http://resolver.tudelft.nl/uuid:1b35ee73-9fa6-40be-b49c-5937b5dcb292 DOI https://doi.org/10.1016/j.engstruct.2023.116391 Embargo date 2023-11-20 ISSN 0141-0296 Source Engineering Structures, 290 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Georgios Galanopoulos, Dimitrios Milanoski, N. Eleftheroglou, Agnes A.R. Broer, D. Zarouchas, Theodoros Loutas Files PDF 1_s2.0_S0141029623008064_main.pdf 11.4 MB Close viewer /islandora/object/uuid:1b35ee73-9fa6-40be-b49c-5937b5dcb292/datastream/OBJ/view