Ms. Tingting Zou Profile

Tingting Zou

at Nanjing Univ of Aeronautics and Astronautics

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Proceedings Article | 12 April 2017 Paper

Design and analysis of compound flexible skin based on deformable honeycomb

Tingting Zou, Li Zhou

Proceedings Volume 10168, 1016836 (2017) https://doi.org/10.1117/12.2258367

KEYWORDS: Skin, Analytical research, Mechanical engineering, Shape analysis, Performance modeling, Smart materials, Polymethylmethacrylate, Raw materials, Data modeling, Manufacturing, Sensors, Mechanics

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In this study, we focused at the development and verification of a robust framework for surface crack detection in steel pipes using measured vibration responses; with the presence of multiple progressive damage occurring in different locations within the structure. Feature selection, dimensionality reduction, and multi-class support vector machine were established for this purpose. Nine damage cases, at different locations, orientations and length, were introduced into the pipe structure. The pipe was impacted 300 times using an impact hammer, after each damage case, the vibration data were collected using 3 PZT wafers which were installed on the outer surface of the pipe. At first, damage sensitive features were extracted using the frequency response function approach followed by recursive feature elimination for dimensionality reduction. Then, a multi-class support vector machine learning algorithm was employed to train the data and generate a statistical model. Once the model is established, decision values and distances from the hyper-plane were generated for the new collected data using the trained model. This process was repeated on the data collected from each sensor. Overall, using a single sensor for training and testing led to a very high accuracy reaching 98% in the assessment of the 9 damage cases used in this study.

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