An adaptive wing for a small-aircraft application with a configuration of fibre Bragg grating sensors

In this paper a concept of an adaptive wing for small-aircraft applications with an array of fibre Bragg grating (FBG) sensors has been presented and discussed. In this concept the shape of the wing can be controlled and altered thanks to the wing design and the use of integrated shape memory alloy actuators. The concept has been tested numerically by the use of the finite element method. For numerical calculations the commercial finite element package ABAQUS® has been employed. A finite element model of the wing has been prepared in order to estimate the values of the wing twisting angles and distributions of the twist for various activation scenarios. Based on the results of numerical analysis the locations and numbers of the FBG sensors have also been determined. The results of numerical calculations obtained by the authors confirmed the usefulness of the assumed wing control strategy. Based on them and the concept developed of the adaptive wing, a wing demonstration stand has been designed and built. The stand has been used to verify experimentally the performance of the adaptive wing and the usefulness of the FBG sensors for evaluation of the wing condition.

[1]  Irina Trendafilova,et al.  Large amplitude vibrations and damage detection of rectangular plates , 2008 .

[2]  Marc Thomas,et al.  Damping behaviour of shape memory alloys : strain amplitude, frequency and temperature effects , 1998 .

[3]  W. Ostachowicz,et al.  Natural frequencies of a multilayer composite plate with shape memory alloy wires , 1999 .

[4]  J. Ro,et al.  Control of the natural frequencies of nitinol-reinforced composite beams , 1995 .

[5]  Byoungho Lee,et al.  Review of the present status of optical fiber sensors , 2003 .

[6]  Chow-Shing Shin,et al.  Fatigue damage monitoring in polymeric composites using multiple fiber bragg gratings , 2006 .

[7]  Jeong-Beom Ihn,et al.  Pitch-catch Active Sensing Methods in Structural Health Monitoring for Aircraft Structures , 2008 .

[8]  Matthew P. Cartmell,et al.  Dynamics of Multilayered Composite Plates With Shape Memory Alloy Wires , 2003 .

[9]  Woonbong Hwang,et al.  TECHNICAL NOTE: Active shape control of a double-plate structures using piezoceramics and SMA wires , 2001 .

[10]  F. Gandhi,et al.  Characterization of the pseudoelastic damping behavior of shape memory alloy wires using complex modulus , 1999 .

[11]  P. Capoluongo,et al.  Modal analysis and damage detection by Fiber Bragg grating sensors , 2007 .

[12]  T. K. Gangopadhyay,et al.  Fibre Bragg gratings in structural health monitoring—Present status and applications , 2008 .

[13]  Yunfeng Zhang,et al.  In Situ Fatigue Crack Detection using Piezoelectric Paint Sensor , 2006 .

[14]  Chung Bang Yun,et al.  Damage diagnostics on a welded zone of a steel truss member using an active sensing network system , 2007 .

[15]  Eric Udd Fiber Optics, Theory and Applications , 2002 .

[16]  Yun-Jiang Rao,et al.  Recent progress in applications of in-fibre Bragg grating sensors , 1999 .

[17]  Kenneth T. V. Grattan,et al.  Integration and assessment of fibre Bragg grating sensors in an all-fibre reinforced polymer composite road bridge , 2005 .

[18]  Marek Krawczuk,et al.  Natural Frequencies of Multi-Layer Composite Plate with Embedded Shape Memory Alloy Wires , 1998 .

[19]  Matthew P. Cartmell,et al.  Dynamics and Control of a Rotor Using an Integrated SMA/Composite Active Bearing Actuator , 2003 .

[20]  Gangbing Song,et al.  Recent applications of fiber optic sensors to health monitoring in civil engineering , 2004 .

[21]  William B. Spillman,et al.  Fiber optic sensors : an introduction for engineers and scientists , 2011 .

[22]  Sema Kurtaran,et al.  The modelling of Fiber Bragg Grating , 2007 .

[23]  Nobuo Takeda,et al.  Structural health monitoring of composite wing structure during durability test , 2007 .

[24]  Tommy H.T. Chan,et al.  Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge : Background and experimental observation , 2006 .