Online Remaining Fatigue Life Prognosis for Composite Materials Based on Strain Data and Stochastic Modeling

N. Eleftheroglou; D.S. Zarouchas; T.H. Loutas; Rene C. Alderliesten; R. Benedictus

doi:10.4028/www.scientific.net/KEM.713.34

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 713Online Remaining Fatigue Life Prognosis for...

Online Remaining Fatigue Life Prognosis for Composite Materials Based on Strain Data and Stochastic Modeling

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.

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Periodical:

Key Engineering Materials (Volume 713)

Pages:

34-37

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.713.34

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Online since:

September 2016

Authors:

N. Eleftheroglou, D.S. Zarouchas, T.H. Loutas, Rene C. Alderliesten, R. Benedictus

Keywords:

Composite Materials, Fatigue, Stochastic Modeling, Strain Data

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