|
|
|
Use of fiber Bragg grating sensors for monitoring delamination damage propagation in glass-fiber reinforced composite structures |
Ayad KAKEI1,2,3, Jayantha A. EPAARACHCHI1,2( ) |
1. School of Mechanical and Electrical Engineering, University of Southern Queensland, Toowoomba QLD 4350, Australia 2. Centre for Future Materials, University of Southern Queensland, Toowoomba QLD 4350, Australia 3. University of Kirkuk, College of Engineering, Kirkuk, Iraq |
|
|
|
|
Abstract Embedded fiber Bragg grating (FBG) sensors have been widely used for damage monitoring of fiber composite structures for a few decades. However, many remaining engineering challenges have delayed FBG based in situ structural health monitoring (SHM) systems. One of the major problem associated with FBG based SHM system is the unavailability of reliable data processing algorithms. The present work details a study which has been undertaken for identification of delamination crack propagation in fiber reinforced polymer (FRP) composite plate under uniaxial loading. The strain measured by embedded FBG sensors closer to the crack tip was used to qualitatively and quantitatively analyze delamination damage propagation using recently proposed elasto-plastic model. Strain energy release rate was calculated and compared with the model prediction. The study has concluded that the delamination crack propagation in a FRP composite can be monitored successfully using an integral approach of FBG sensors measurements and the predictions of proposed elasto-plastic model.
|
| Keywords
fiber Bragg grating (FBG) sensors
composite
damage modelling
fracture energy
|
|
Corresponding Author(s):
Jayantha A. EPAARACHCHI
|
|
Online First Date: 28 March 2018
Issue Date: 02 April 2018
|
|
| 1 |
Kakei A, Epaarachchi J, Mainul M, Leng J. Development of fracture and damage modeling concepts for composite materials. In: Epaarachchi J, Kahandawa G, eds. Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures. 2016, Roca Raton: CRC Press, 339–364
|
| 2 |
Kuhtz M, Hornig A, Gude M, Jäger H. A method to control delaminations in composites for adjusted energy dissipation characteristics. Materials & Design, 2017, 123: 103–111
https://doi.org/10.1016/j.matdes.2017.03.003
|
| 3 |
Olave M, Vara I, Usabiaga H, Aretxabaleta L, Lomov S V, Vandepitte D. Nesting effect on the mode II fracture toughness of woven laminates. Composites Part A, Applied Science and Manufacturing, 2015, 74: 174–181
https://doi.org/10.1016/j.compositesa.2015.03.020
|
| 4 |
Shokrieh M M, Zeinedini A, Ghoreishi S M. On the mixed mode I/II delamination R-curve of E-glass/epoxy laminated composites. Composite Structures, 2017, 171: 19–31
https://doi.org/10.1016/j.compstruct.2017.03.017
|
| 5 |
Shokrieh M M, Heidari-Rarani M. Effect of stacking sequence on R-curve behavior of glass/epoxy DCB laminates with 0°//0° crack interface. Materials Science and Engineering A, 2011, 529: 265–269
https://doi.org/10.1016/j.msea.2011.09.027
|
| 6 |
Shokrieh M M, Heidari-Rarani M, Ayatollahi M R. Delamination R-curve as a material property of unidirectional glass/epoxy composites. Materials & Design, 2012, 34: 211–218
https://doi.org/10.1016/j.matdes.2011.08.006
|
| 7 |
Ghasemnejad H, Hadavinia H, Aboutorabi A. Effect of delamination failure in crashworthiness analysis of hybrid composite box structures. Materials & Design, 2010, 31(3): 1105–1116
https://doi.org/10.1016/j.matdes.2009.09.043
|
| 8 |
Yasaee M, Bigg L, Mohamed G, Hallett S R. Influence of Z-pin embedded length on the interlaminar traction response of multi-directional composite laminates. Materials & Design, 2017, 115: 26–36
https://doi.org/10.1016/j.matdes.2016.11.025
|
| 9 |
Shaoquan W, Shangli D, Yu G, Yungang S. Thermal ageing effects on mechanical properties and barely visible impact damage behavior of a carbon fiber reinforced bismaleimide composite. Materials & Design, 2017, 115: 213–223
https://doi.org/10.1016/j.matdes.2016.11.062
|
| 10 |
Chang F K.Structural Health Monitoring. Lancaster: DESTechnol Publications, 2003
|
| 11 |
Vieira A, de Oliveira R, Frazão O, Baptista J M, Marques A T. Effect of the recoating and the length on fiber Bragg grating sensors embedded in polymer composites. Materials & Design, 2009, 30(5): 1818–1821
https://doi.org/10.1016/j.matdes.2008.08.005
|
| 12 |
Kousiatza C, Karalekas D. In-situ monitoring of strain and temperature distributions during fused deposition modeling process. Materials & Design, 2016, 97: 400–406
https://doi.org/10.1016/j.matdes.2016.02.099
|
| 13 |
Kantaros A, Karalekas D. Fiber Bragg grating based investigation of residual strains in ABS parts fabricated by fused deposition modeling process. Materials & Design, 2013, 50: 44–50
https://doi.org/10.1016/j.matdes.2013.02.067
|
| 14 |
Kanerva M, Antunes P, Sarlin E, Orell O, Jokinen J, Wallin M, Brander T, Vuorinen J. Direct measurement of residual strains in CFRP-tungsten hybrids using embedded strain gauges. Materials & Design, 2017, 127(Supplement C): 352–363
https://doi.org/10.1016/j.matdes.2017.04.008
|
| 15 |
Yashiro S, Takeda N, Okabe T, Sekine H. A new approach to predicting multiple damage states in composite laminates with embedded FBG sensors. Composites Science and Technology, 2005, 65(3–4): 659–667
https://doi.org/10.1016/j.compscitech.2004.09.022
|
| 16 |
Sans D, Stutz S, Renart J, Mayugo J A, Botsis J. Crack tip identification with long FBG sensors in mixed-mode delamination. Composite Structures, 2012, 94(9): 2879–2887
https://doi.org/10.1016/j.compstruct.2012.03.032
|
| 17 |
Okabe T, Yashiro S. Damage detection in holed composite laminates using an embedded FBG sensor. Composites Part A, Applied Science and Manufacturing, 2012, 43(3): 388–397
https://doi.org/10.1016/j.compositesa.2011.12.009
|
| 18 |
Kahandawa G C, Epaarachchi J, Wang H, Canning J, Lau K T. Extraction and processing of real time strain of embedded FBG sensors using a fixed filter FBG circuit and an artificial neural network. Measurement, 2013, 46(10): 4045–4051
https://doi.org/10.1016/j.measurement.2013.07.029
|
| 19 |
Kahandawa G C, Epaarachchi J A, Wang H, Followell D, Birt P. Use of fixed wavelength fibre-Bragg grating (FBG) filters to capture time domain data from the distorted spectrum of an embedded FBG sensor to estimate strain with an artificial neural network. Sensors and Actuators A, Physical, 2013, 194: 1–7
https://doi.org/10.1016/j.sna.2012.12.028
|
| 20 |
Takeda S, Okabe Y, Takeda N. Delamination detection in CFRP laminates with embedded small-diameter fiber Bragg grating sensors. Composites Part A, Applied Science and Manufacturing, 2002, 33(7): 971–980
https://doi.org/10.1016/S1359-835X(02)00036-2
|
| 21 |
Takeda S, Minakuchi S, Okabe Y, Takeda N. Delamination monitoring of laminated composites subjected to low-velocity impact using small-diameter FBG sensors. Composites Part A, Applied Science and Manufacturing, 2005, 36(7): 903–908
https://doi.org/10.1016/j.compositesa.2004.12.005
|
| 22 |
Kakei A A, Islam M,Leng J,EpaarachchiJ. Use of an elasto-plastic model and strain measurements of embedded fibre Bragg grating sensors to detect Mode I delamination crack propagation in woven cloth (0/90) composite materials. Structural Health Monitoring, 2017,
https://doi.org/10.1177/1475921717694812
|
| 23 |
Ling H Y, Lau K, Cheng L, Su Z. Mode II fracture behaviour monitoring for composite laminates using embedded fibre Bragg grating sensors. Composite Structures, 2006, 76(1–2): 88–93
https://doi.org/10.1016/j.compstruct.2006.06.013
|
| 24 |
Ling H Y, Lau K T, Su Z, Wong E T T. Monitoring mode II fracture behaviour of composite laminates using embedded fiber-optic sensors. Composites Part B, Engineering, 2007, 38(4): 488–497
https://doi.org/10.1016/j.compositesb.2006.07.004
|
| 25 |
Stutz S, Cugnoni J, Botsis J. Studies of mode I delamination in monotonic and fatigue loading using FBG wavelength multiplexing and numerical analysis. Composites Science and Technology, 2011, 71(4): 443–449
https://doi.org/10.1016/j.compscitech.2010.12.016
|
| 26 |
Kakei A, Epaarachchi J A, Islam M, Leng J, Rajic N. Detection and characterisation of delamination damage propagation in woven glass fibre reinforced polymer composite using thermoelastic response mapping. Composite Structures, 2016, 153: 442–450
https://doi.org/10.1016/j.compstruct.2016.06.044
|
| 27 |
Chauffaille S, Jumel J, Shanahan M E R. Elasto-plastic analysis of the single cantilever beam adhesion test. Engineering Fracture Mechanics, 2011, 78(13): 2493–2504
https://doi.org/10.1016/j.engfracmech.2011.06.009
|
| 28 |
Sorensen L, Botsis J, Gmür T, Cugnoni J. Delamination detection and characterisation of bridging tractions using long FBG optical sensors. Composites Part A, Applied Science and Manufacturing, 2007, 38(10): 2087–2096
https://doi.org/10.1016/j.compositesa.2007.07.009
|
| 29 |
Pereira G, McGugan M, Mikkelsen L P.FBG_SiMul V1.0: Fibre Bragg grating signal simulation tool for finite element method models. SoftwareX
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|