A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Generalized Gaussian smoothing for baseline‐free debonding assessment of sandwich panels
The present work proposes a baseline‐free method to assess debonding on composite panels. The method is based on regressive Gaussian processes (GP) used to obtain vibration modes free of noise. A Bayesian scheme is implemented to allow the automatic determination of the model hyperparameters. The estimation of the undamaged vibration modes is carried out by modifying the optimal hyperparameters determined employing the damaged plate. The curvatures associated with the vibration modes are calculated as the second analytical derivative of the kernel function of the GP; thus, the use of numerical methods is avoided. A damage index is obtained comparing the differences between the curvatures of the damaged and undamaged modes. Finally, using k‐means clustering, the damage size and location could be identified. The effectiveness of the proposed method is verified by means of numerical simulations and experimental tests. The predicted damage is compared with the actual damage in terms of size, location, and intersection. Both numerical simulations and experimental tests offer favorable results.
Generalized Gaussian smoothing for baseline‐free debonding assessment of sandwich panels
The present work proposes a baseline‐free method to assess debonding on composite panels. The method is based on regressive Gaussian processes (GP) used to obtain vibration modes free of noise. A Bayesian scheme is implemented to allow the automatic determination of the model hyperparameters. The estimation of the undamaged vibration modes is carried out by modifying the optimal hyperparameters determined employing the damaged plate. The curvatures associated with the vibration modes are calculated as the second analytical derivative of the kernel function of the GP; thus, the use of numerical methods is avoided. A damage index is obtained comparing the differences between the curvatures of the damaged and undamaged modes. Finally, using k‐means clustering, the damage size and location could be identified. The effectiveness of the proposed method is verified by means of numerical simulations and experimental tests. The predicted damage is compared with the actual damage in terms of size, location, and intersection. Both numerical simulations and experimental tests offer favorable results.
Generalized Gaussian smoothing for baseline‐free debonding assessment of sandwich panels
Villalobos, A. (author) / Ruiz, R. O. (author) / Meruane, V. (author)
2021-06-01
20 pages
Article (Journal)
Electronic Resource
English
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