| Autor: |
Eleftheroglou, N., Zarouchas, D.S., Loutas, T.H., Alderliesten, Rene C., Benedictus, R. |
| Zdroj: |
Key Engineering Materials; September 2016, Vol. 713 Issue: 1 p34-37, 4p |
| Abstrakt: |
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. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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