TY - GEN
T1 - Probabilistic delamination diagnosis of composite materials using a novel Bayesian imaging method
AU - Peng, Tishun
AU - Saxena, Abhinav
AU - Goebel, Kai
AU - Sankararaman, Shankar
AU - Xiang, Yibing
AU - Liu, Yongming
PY - 2013
Y1 - 2013
N2 - In this paper, a framework for probabilistic delamination location and size detection is proposed. A delamination probability image using Lamb wave-based damage detection is constructed using the Bayesian updating technique. First, the algorithm for the probabilistic delamination detection framework using Bayesian updating (Bayesian Imaging Method-BIM) is presented. Following this, a fatigue testing setup for carbon-carbon composite coupons is introduced and the corresponding lamb wave based diagnostic signal is collected and interpreted. Next, the obtained signal features are incorporated in the Bayesian Imaging Method to detect delamination size and location, as along with corresponding uncertainty bounds. The damage detection results using the proposed methodology are compared with X-ray images for verification and validation. Finally, some conclusions and future works are drawn based on the proposed study.
AB - In this paper, a framework for probabilistic delamination location and size detection is proposed. A delamination probability image using Lamb wave-based damage detection is constructed using the Bayesian updating technique. First, the algorithm for the probabilistic delamination detection framework using Bayesian updating (Bayesian Imaging Method-BIM) is presented. Following this, a fatigue testing setup for carbon-carbon composite coupons is introduced and the corresponding lamb wave based diagnostic signal is collected and interpreted. Next, the obtained signal features are incorporated in the Bayesian Imaging Method to detect delamination size and location, as along with corresponding uncertainty bounds. The damage detection results using the proposed methodology are compared with X-ray images for verification and validation. Finally, some conclusions and future works are drawn based on the proposed study.
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M3 - Conference contribution
AN - SCOPUS:84920508111
T3 - PHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013
SP - 141
EP - 149
BT - PHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013
A2 - Sankararaman, Shankar
A2 - Roychoudhury, Indranil
PB - Prognostics and Health Management Society
T2 - 2013 Annual Conference of the Prognostics and Health Management Society, PHM 2013
Y2 - 14 October 2013 through 17 October 2013
ER -