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Diagnostics And Prognostics Group Members Win 2014 Prognostics and Health Management Society Conference Best Paper Award
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Diagnostics And Prognostics Group Members Win 2014 Prognostics and Health Management Society Conference Best Paper Award

A paper titled “A Model-Based Prognostics Framework to Predict Fatigue Damage Evolution and Reliability in Composites,” by Juan Chiachio, Manuel Chiachio, Kai Goebel, Guillermo Rus, and Abhinav Saxena, was presented at the 2nd European Conference of the Prognostics and Health Management Society (PHME14), winning the Best Paper Award. PHM Society conference papers are peer-reviewed and nominated papers that are evaluated by an independent panel of judges.

BACKGROUND: Composites are high-performance materials that are increasingly used in construction of aerospace structures. However, complex geometry, material inhomogeneity, and incomplete knowledge of underlying damage processes make it difficult to monitor and assess health of these structures for safe and reliable operations. The paper, “A Model-Based Prognostics Framework to Predict Fatigue Damage Evolution and Reliability in Composites,” presents a model-based approach for making remaining useful-life predictions for composites under fatigue loading. Structural health is assessed using monitoring data from a piezoelectric sensor network to estimate matrix micro-cracks and, consequently, material stiffness degradation. From among a set of competing fatigue-damage models assumed, model parameters are learned and updated in the Bayesian framework as monitoring data becomes available to select the most plausible fatigue model and use it to make remaining useful-life predictions. This paper is part of the continuing research collaboration between the University of Granada, Spain, and NASA Ames Research Center, after Juan and Manuel’s yearlong fellowship visit to Ames in 2012.

NASA PROGRAM FUNDING: The work presented was carried out in collaboration with the University of Granada, Spain, and was funded in part by the System-Wide Safety Assurance Technologies (SSAT) project, Aviation Safety Program (AvSP), Aeronautics Research Mission Directorate (ARMD)

Contact: Abhinav Saxena

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