Abstract
This work presents an efficient computational framework for estimating the end of life and remaining useful life by combining the prognostics principles with the technique of Subset simulation. It has been named PFP-SubSim on behalf of the full denomination of the computational framework, namely, particle filter-based prognostics using Subset Simulation. It is shown that the resulting algorithm is especially useful when dealing with the prognostics of evolving processes with asymptotic behaviors where the length of the dataset is limited, as observed in practice for many fatigue degradation processes in composites. Its efficiency is demonstrated on data collected from run-to-failure tension-tension fatigue experiments measuring the evolution of fatigue damage in CRFP cross-ply laminates using PZT sensors for obtaining data of matrix micro-crack density.
Original language | English |
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Title of host publication | Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting |
Editors | Hyonny Kim, D. Whisler, Z.M. Chen, C. Bisagni, M. Kawai, R. Krueger |
Number of pages | 13 |
ISBN (Electronic) | 9781605951249 |
Publication status | Published - 2014 |
Event | 29th Annual Technical Conference of the American Society for Composites, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting - La Jolla, San Diego, United States Duration: 8 Sept 2014 → 10 Sept 2014 |
Conference
Conference | 29th Annual Technical Conference of the American Society for Composites, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting |
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Country/Territory | United States |
City | La Jolla, San Diego |
Period | 8/09/14 → 10/09/14 |
Keywords
- laminates
- asymptotic behaviors
- fatigue damage
- computational framework
- cross-ply laminate
- fatigue degradation
- fatigue experiments
- micro-crack density
- remaining useful lives