Real-time impact identification algorithm for composite structures using fiber Bragg grating sensors

Structural Control and Health Monitoring

Volumn 19, Issue 7, 2012, Pages 580-591

  Jang, Byeong Wook ^a   Lee, Yeon Gwan ^b   Kim, Jin Hyuk ^b   Kim, Yoon Young ^b   Kim, Chun Gon ^b  

^a Korea Aerospace Research Institute (KARI)   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

arrival time determination; composite structures; high speed FBG strain sensors; impact identification; neural network training

Indexed keywords

ACOUSTIC SIGNALS; ARRIVAL TIME; COMPOSITE WING; CONVENTIONAL INSPECTION METHODS; FBG SENSOR; FBG STRAIN SENSORS; FIBER BRAGG GRATING SENSORS; IMPACT IDENTIFICATION; IMPACT WAVES; INPUT DATAS; INTERROGATION SYSTEM; LOCALIZATION ALGORITHM; LOW-VELOCITY; NEURAL NETWORK ALGORITHM; NEURAL NETWORK TRAINING; SAMPLING FREQUENCIES; WAVELENGTH SHIFT;

ACOUSTIC WAVES; ACOUSTICS; COMPOSITE STRUCTURES; DAMAGE DETECTION; ELECTRIC SENSING DEVICES; FIBER BRAGG GRATINGS; FIBER OPTIC SENSORS; NEURAL NETWORKS; SENSORS; STRUCTURAL HEALTH MONITORING; STRUCTURE (COMPOSITION); WINGS;

ALGORITHMS;

EID: 84870302141     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.1492     Document Type: Article

References (25)

1. Measures RM,. Structural Monitoring with Fiber Optic Technology. USA: ACADEMIC PRESS, 2001; 15-51.
2. Park CY, Cho CM, Jun SM,. Structural damage monitoring of a composite wing using multiple types of sensors. Advanced Materials Research 2010; 123-125: 907-910.
3. Neubauer M, Gunther G, Fullhas K,. Structural design aspects and criteria for military UAV. RTO-MP-AVT 145 UAV Design Processes and Criteria 2007.
4. Gaul L, Hurlebaus S,. Identification of the impact location on a plate using wavelets. Mechanical systems and signal processing 1998; 12: 783-795. (Pubitemid 128398627)
5. Seydel R, Chang FK,. Impact identification of stiffened composite panels: I. System development. Smart Materials and Structures 2001; 10: 354-369. (Pubitemid 32427077)
6. Seydel R, Chang FK,. Impact identification of stiffened composite panels: II. Implementation studies. Smart Materials and Structures 2001; 10: 370-379. (Pubitemid 32427078)
7. Sung DU, Oh JH, Kim CG, Hong CS,. Impact monitoring of smart composite laminates using neural network and wavelet analysis. Journal of Intelligent Material Systems and Structures 2000; 11: 180-190.
8. Sekine H, Atobe S,. Identification of locations and force histories of multiple point impacts on composite isogrid-stiffened panels. Composite Structures 2009; 89: 1-7.
9. Ciampa F, Meo M,. A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures. Composites: Part A 2010; 41: 1777-1786.
10. Hajzargerbashi T, Kundu T, Bland S,. An improved algorithm for detecting point of impact in anisotropic inhomogeneous plates. Ultrasonics 2011; 51 (3): 317-324.
11. Chen C, and, Yuan FG,. Impact source identification in finite isotropic plates using a time-reversal method: theoretical study. Smart Materials and Structures 2010; 19: 105028 (11p).
12. Wang B, Takatsubo J, Akimune Y, Tsuda H,. Development of a remote impact damage identification system. Structural Control and Health Monitoring 2005; 12 (3-4): 301-314. (Pubitemid 41492344)
13. Kirikera GR, Balogun O, Krishnaswamy S,. Adaptive fiber Bragg grating sensor network for structural health monitoring: application to impact monitoring. Structural Health Monitoring 2011; 10 (1): 5-16.
14. Hackney D, Peters K,. Damage identification after impact in sandwich composites through embedded fiber Bragg sensors. Journal of Intelligent Material Systems and Structures 2011; 22 (12): 1305-1316.
15. Jensen AE, Havsgard GB, Pran K, Wang G, Vohra ST, Davis MA, Dandridge A,. Wet deck slamming experiments with an FRP sandwich panel using a network of 16 fiber optic Bragg grating strain sensors. Composites: Part B 2000; 31: 187-198.
16. Staszewski WJ, Read I, Foote PD,. Damage detection in composite materials using optical fibresârecent advances in signal processing. Proc SPIE 2000; 3985: 261-270.
17. Ciampa F, Meo M,. Impact detection in anisotropic materials using a time reversal approach. Structural Health Monitoring 2012; 11 (1): 43-49.
18. Laflamme S, Kollosche M, Connor JJ, Kofod G,. Soft capacitive sensor for structural health monitoring of large-scale systems. Structural Control and Health Monitoring 2012; 19: 70-81.
19. Hongo A, Kojima S, Komatsuzaki S,. Applications of fiber Bragg grating sensors and high-speed interrogation techniques. Structural Control and Health Monitoring 2005; 12 (3-4): 269-282. (Pubitemid 41492342)
20. Fujisue T, Nakamura K, Ueha S,. Demodulation of acoustic signals in fiber Bragg grating ultrasonic sensors using arrayed waveguide gratings. Japanese Journal of Applied Physics 2006; 45 (5B): 4577-4579. (Pubitemid 43800107)
21. Lee BW, Seo MS, Oh HG, Park CY,. High-speed wavelength interrogator of fiber Bragg gratings for capturing impulsive strain waveforms. Advanced Materials Research 2010; 123-125: 867-870.
22. Jang BW, Park SO, Lee YG, Kim CG, Park CY, Lee BW,. Impact monitoring of composite structures using fiber Bragg grating sensors. Journal of the Korean Society for Composite Materials 2011; 24: 24-30.
23. Choi M, Kim J, Kim Y, Kim J, Choi K,. Development of sensor integrated composite wing structure. Advanced Materials Research 2010; 123-125: 903-906.
24. Betz DC, Thursby G, Culshaw B, Staszewski WJ,. Acousto-ultrasonic sensing using fiber Bragg gratings. Smart Materials and Structures 2003; 12: 122-128.
25. Kersey AD, Berkoff TA, Morey WW,. Multiplexed fiber Bragg grating strain sensor system with a Fabry-Perot wavelength filter. Optics Letters 1993; 18: 1370-1372.