Impact localization on composite wing using 1D array FBG sensor and RMS/correlation based reference database algorithm

Abstract In this paper 1-dimensional (1D) array fiber Bragg grating (FBG) sensor configuration is proposed for impact localization of random impact points on composite wing. Firstly, 2D and 1D array FBG sensor localization results are compared and then 1D array FBG sensor configuration is implemented on a full scale composite wing of Jabiru UL-D aircraft. A high speed FBG interrogator is used to sample the impact signals at 100 kHz and reference database impact localization algorithm is used to estimate the impact location. The sensor configuration and impact localization techniques presented in this paper demonstrates an excellent means of decreasing the number of required sensor for localizing impact points. Moreover, through a parametric study it is demonstrated that using 1D array sensor configuration and reference database algorithm, two FBG sensors covering 4.2 m × 0.6 m wing area can approximate the impact location with maximum localization error limited to about 35.0 mm, which is as effective as using 1D array configuration with six FBG sensors.

[1]  Jay L. Devore,et al.  Probability and statistics for engineering and the sciences , 1982 .

[2]  Véronique Michaud,et al.  Impact localisation with FBG for a self-healing carbon fibre composite structure , 2011 .

[3]  Joël Cugnoni,et al.  Low energy impact damage monitoring of composites using dynamic strain signals from FBG sensors - Part I: Impact detection and localization , 2012 .

[4]  Keith Worden,et al.  An introduction to structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[5]  Chun-Gon Kim,et al.  Impact source localization for composite structures under external dynamic loading condition , 2015 .

[6]  Paulo F. Ribeiro,et al.  Power Systems Signal Processing for Smart Grids , 2013 .

[7]  Martine Wevers,et al.  One sensor linear location of acoustic emission events using plate wave theories , 1999 .

[8]  H. Jeong,et al.  Wavelet analysis of plate wave propagation in composite laminates , 2000 .

[9]  Yoon Young Kim,et al.  Detection of Impact Location for Composite Stiffened Panel Using FBG Sensors , 2010 .

[10]  M. Gorman,et al.  Source location in thin plates using cross-correlation , 1991 .

[11]  A. Baker,et al.  Composite Materials for Aircraft Structures , 2004 .

[12]  A. Tobias,et al.  Acoustic-emission source location in two dimensions by an array of three sensors , 1976 .

[13]  S. Abrate,et al.  Structural Monitoring with Fiber Optic Technology , 2001 .

[14]  Joël Cugnoni,et al.  Low energy impact damage monitoring of composites using dynamic strain signals from FBG sensors - Part II: Damage identification , 2012 .

[15]  Hoon Sohn,et al.  Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward , 2003 .

[16]  N. Bhat,et al.  Delamination growth in graphite/epoxy composite laminates under tensile loading , 1993 .