Debonding quantification in large wind turbine blades based on Gaussian Process Regression
At LMSSC, Paris, March 31st 2022, 1.30 p.m.
Samuel da Silva
Associate Professor, Mechanical Engineering Department (DEM), Structural Health Monitoring Laboratory (SHM Lab),
São Paulo State University (UNESP), Ilha Solteira, Brazil
This talk shows the implementation of a stochastic interpolation based on Gaussian Process Regression (GPR) of a global damage sensitive index (DI), computed from the accelerometers signals for an impact excitation, correlated with seven structural states progressive damage size simulating debonding in wind turbine blades. A Mahanolobis distance is applied based on the local damage indices averaging data fusion strategy.
The DI of five different debonding severities is used to train a GPR model and correlate the DI with their corresponding damage size. The GPR model is tested with the other two damage conditions. Validation of estimated damage size using the GPR model by the actual damage size for each actuator position and test condition confirmed a small error for the estimated damage size for all damage indices compared with the mean of estimated damage size. The GPR model was demonstrated to capture adequately the trend and uncertainties between the DI proposed and the damage size.
Samuel da Silva is an Associate Professor in the Mechanical Engineering Department at São Paulo State University - UNESP (Ilha Solteira/Brazil) and Research Fellow from National Council for Scientific and Technological Development (CNPq/Brazil). He obtained the B.S.E. and M.S. in Mechanical Engineering from UNESP - Ilha Solteira (Brazil) in 2002 and 2005, respectively, were he was FAPESP Graduate Research Fellow. In 2008 he received his Ph.D. in Mechanical Engineering from State University of Campinas (UNICAMP) with Sandwich Doctorate scholarship at Université de Franche-Comté (Besançon, France) (2007). He was Visiting Researcher at Arts et Métiers (Paris, France) with a fellowship of São Paulo Research Foundation (FAPESP) from 2019 - 2020. Currently, he serves on the editorial board of Journal of the Brazilian Society of Mechanical Sciences and Engineering. His research interests cover: Structural Health Monitoring, System Identification & Signal Processing, Nonlinear Dynamics and Applied Mechanics.