Detection of Impact Location for Composite Stiffened Panel Using FBG Sensors

Abstract

We carried out experiments to detect impact locations on a composite plate using two types of composite plates, a composite flat plate with a constant thickness of 5 mm and a composite stiffened panel with stringers. Four multiplexed FBG sensors were attached to the bottom surface of the composite plates to acquire impact signals. The FBG sensor wavelength shift data were collected at a sampling frequency of 40 kHz using a high-speed FBG interrogator (SFI-710, Fiberpro Inc., Korea). The arrival times of the impact signals at each FBG sensor were obtained using a signal processing procedure. The arrival times were affected by noise level and signal-to-noise ratio. In order to overcome this weakness, signal processing techniques such as wavelet decomposition, normalization using each noise level and filtering with a moving average were adopted. To calculate the impact locations of the composite plate, a neural network algorithm was applied.

Optimal sensor positioning for impact localization in smart composite panels

“…A number of different techniques to monitor impacts on composite structures have been proposed and investigated so far (Haywood et al, 2005;LeClerc et al, 2007;Park et al, 2010;Sung et al, 2000). The main idea is to locate the impact on the basis of the information collected by piezoelectric (PZT) sensors suitably introduced in the structure.…”

“…In Park et al (2010), experiments to detect impact location on two composite plates, one without stringer and another one with stringer, are carried out. Four PZT sensors are attached to the bottom surface of the plate to acquire the impact signals.…”

Impact location in composite plates using proper orthogonal decomposition

“…Examples of this approach can be found in [8][9][10][11]. Although good results are obtained, the applicability of an ANN approach on a real structure can be difficult, due to the large number of training impacts that have to be performed.…”

A Study on Impact Force Detection Method Based on Piezoelectric Sensing

“…In addition, with the development of artificial intelligence, artificial neural networks have also been used to detect the impact locations. Worden et al used an artificial neural network to locate the impact position successfully [ 10 , 11 , 12 ]; however, they failed to detect the magnitude of impact force.…”