Print Email Facebook Twitter Online Remaining Fatigue Life Prognosis for Composite Materials Based on Strain Data and Stochastic Modeling Title Online Remaining Fatigue Life Prognosis for Composite Materials Based on Strain Data and Stochastic Modeling Author Eleftheroglou, N. (TU Delft Structural Integrity & Composites) Zarouchas, D. (TU Delft Structural Integrity & Composites) Loutas, T.H. (University of Patras) Alderliesten, R.C. (TU Delft Structural Integrity & Composites) Benedictus, R. (TU Delft Aerospace Structures & Materials) Department Aerospace Structures & Materials Date 2016 Abstract The present study utilizes a state-of-the-art stochastic modeling with structural health monitoring (SHM) data derived from strain measurements, in order to assess the remaining useful life (RUL) online in composite materials under fatigue loading. Non-Homogenous Hidden Semi Markov model (NHHSMM) is a suitable candidate with a rich mathematical structure capable of describing the composite’s multi-state damage evolution in time. The proposed model uses as input SHM data in the form of strain measurements obtained from the Digital Image Correlation (DIC) technique to a coupon-level constant amplitude fatigue test campaign. The obtained from the stochastic model RUL estimations are compared with the actual RUL and the effectiveness of the prognosis is discussed. Subject Composite materialsFatiguestrain datastochastic models To reference this document use: http://resolver.tudelft.nl/uuid:b0bdd6cd-9a7c-4584-9307-5d623c637594 DOI https://doi.org/10.4028/www.scientific.net/KEM.713.34 ISSN 1013-9826 Source Key Engineering Materials, 713, 34-37 Part of collection Institutional Repository Document type journal article Rights © 2016 N. Eleftheroglou, D. Zarouchas, T.H. Loutas, R.C. Alderliesten, R. Benedictus Files PDF FDM_paper2.pdf 1.24 MB Close viewer /islandora/object/uuid:b0bdd6cd-9a7c-4584-9307-5d623c637594/datastream/OBJ/view