Progressive failure analysis and taguchi-based optimisation of filament-wound composite tubes subjected to internal pressure using continuum damage mechanics approach
Restricted accessResearch articleFirst published online September, 2022
Progressive failure analysis and taguchi-based optimisation of filament-wound composite tubes subjected to internal pressure using continuum damage mechanics approach
In this paper, a hybrid utilisation of the continuum damage mechanics approach and some novel techniques was employed for progressive failure analysis of internally pressurised filament-wound composite tubes. The constructed numerical model in Abaqus software, which is employed for prediction of functional and burst failure of the tubes, was validated with an experimental failure evaluation available in the literature. Results show the high accuracy and precision of the proposed model. Therefore, this model can be used as a cost-effective virtual failure exam prior to experimental tests or as their alternative. Then, this validated model has been used in the second part of this paper for optimisation. Due to some drawbacks of the previous optimisation methods, by using the Taguchi approach capabilities, a novel strategy is proposed for optimisation of the stacking sequence of tubes under various stress ratios with taking into account the manufacturing winding angle restrictions. Results reveal that the obtained optimal stacking sequences are asymmetric and highly dependent on calculation strategies and applied stress ratio.
RafieeRTorabiMAMalekiS, et al.Investigating structural failure of a filament-wound composite tube subjected to internal pressure: experimental and theoretical evaluation. Polym Test2018; 67: 322–330. DOI: 10.1016/j.polymertesting.2018.03.020
2.
AzizianMAzizianMRashedG, et al.A novel strategy for comparative numerical analysis of the response of buried composite and steel pipes subjected to realistic loading scenarios: FEA in cooperation with Taguchi approach. Eng Fail Anal2021; 122: 105228. DOI: 10.1016/j.engfailanal.2021.105228
3.
RafieeR. On the mechanical performance of glass-fibre-reinforced thermosetting-resin pipes: a review. Compos Struct2016; 143: 151–164. DOI: 10.1016/j.compstruct.2016.02.037
4.
PrabhakarMMRajiniNAyrilmisN, et al.An overview of burst, buckling, durability and corrosion analysis of lightweight FRP composite pipes and their applicability. Compos Struct2019; 230: 111419. DOI: 10.1016/j.compstruct.2019.111419
5.
ArikanH. Failure analysis of (±55) 3 filament wound composite pipes with an inclined surface crack under static internal pressure. Compos Struct2010; 92(1): 182–187. DOI: 10.1016/j.compstruct.2009.07.027
6.
GemiLTarakçioğluNAkdemirA, et al.Progressive fatigue failure behavior of glass/epoxy (±75) 2 filament-wound pipes under pure internal pressure. Mater Des2009; 30(10): 4293–4298. DOI: 10.1016/j.matdes.2009.04.025
7.
MertinyP. Leakage failure in fibre-reinforced polymer composite tubular vessels at elevated temperature. Polym Testing2012; 31(1): 25–30. DOI: 10.1016/j.polymertesting.2011.09.003
8.
MertinyPGoldA. Quantification of leakage damage in high-pressure fibre-reinforced polymer composite tubular vessels. Polym Testing2007; 26(2): 172–179. DOI: 10.1016/j.polymertesting.2006.09.009
9.
AlmeidaJHSJr.RibeiroMLTitaV, et al.Stacking sequence optimization in composite tubes under internal pressure based on genetic algorithm accounting for progressive damage. Compos Struct2017; 178: 20–26. DOI: 10.1016/j.compstruct.2017.07.054
10.
AngJMajidMANorAM, et al.First-ply failure prediction of glass/epoxy composite pipes using an artificial neural network model. Compos Struct2018; 200: 579–588. DOI: 10.1016/j.compstruct.2018.05.139
11.
MajidMAAssalehTGibsonA, et al.Ultimate elastic wall stress (UEWS) test of glass fibre reinforced epoxy (GRE) pipe. Compos A: Appl Sci Manufact2011; 42(10): 1500–1508. DOI: 10.1016/j.compositesa.2011.07.001
12.
SodenPKitchingRTseP, et al.Influence of winding angle on the strength and deformation of filament-wound composite tubes subjected to uniaxial and biaxial loads. Composites Sci Technol1993; 46(4): 363–378. DOI: 10.1016/0266-3538(93)90182-G
13.
ColomboCVerganiL. Optimization of filament winding parameters for the design of a composite pipe. Compos B: Eng2018; 148: 207–216. DOI: 10.1016/j.compositesb.2018.04.056
14.
RafieeRAminiA. Modeling and experimental evaluation of functional failure pressures in glass fiber reinforced polyester pipes. Comput Mater Sci2015; 96: 579–588. DOI: 10.1016/j.commatsci.2014.03.036
15.
MartinsLABastianFLNettoTA, et al.Structural and functional failure pressure of filament wound composite tubes. Mater Des2012; 36: 779–787. DOI: 10.1016/j.matdes.2011.11.029
16.
RafieeRReshadiF. Simulation of functional failure in GRP mortar pipes. Compos Struct2014; 113: 155–163. DOI: 10.1016/j.compstruct.2014.03.024
17.
RafieeRReshadiFEidiS, et al.Stochastic analysis of functional failure pressures in glass fiber reinforced polyester pipes. Mater Design2015; 67: 422–427. DOI: 10.1016/j.matdes.2014.12.003
18.
NikbaktSKamarianSShakeriM, et al.A review on optimization of composite structures Part I: Laminated composites. Compos Struct2018; 195: 158–185. DOI: 10.1016/j.compstruct.2018.03.063
19.
MartinsLBastianFNettoT, et al.Reviewing some design issues for filament wound composite tubes. Mater Des2014; 55: 242–249. DOI: 10.1016/j.matdes.2013.09.059
20.
LiuPXuPZhengJ, et al.Artificial immune system for optimal design of composite hydrogen storage vessel. Comput Mater Sci2009; 47(1): 261–267. DOI: 10.1016/j.commatsci.2009.07.015
21.
FrancescatoPGilletALehD, et al.Comparison of optimal design methods for type 3 high-pressure storage tanks. Compos Struct2012; 94(6): 2087–2096. DOI: 10.1016/j.compstruct.2012.01.018
22.
JingZSunQSilberschmidtVV, et al.Sequential permutation table method for optimization of stacking sequence in composite laminates. Compos Struct2016; 141: 240–252. DOI: 10.1016/j.compstruct.2016.01.052
23.
VignoliLLSaviMAPachecoPM, et al.Micromechanical analysis of transversal strength of composite laminae. Compos Struct2020; 250: 112546. DOI: 10.1016/j.compstruct.2020.112546
24.
AzizianMAlmeidaJHSJr.Stochastic, probabilistic and reliability analyses of internally-pressurised filament wound composite tubes using artificial neural network metamodels. Mater Today Commun2022; 31: 103627. DOI: 10.1016/j.mtcomm.2022.103627
25.
SodenPDHintonMJKaddourA. Lamina properties, lay-up configurations and loading conditions for a range of fibre reinforced composite laminates. In: Failure criteria in fibre-reinforced-polymer composites. United Kingdom: Elsevier. 2004, pp. 30–51.
26.
LapczykIHurtadoJA. Progressive damage modeling in fiber-reinforced materials. Composites Part A: Appl Sci Manufact2007; 38(11): 2333–2341. DOI: 10.1016/j.compositesa.2007.01.017
27.
DavilaCJaunkyNGoswamiS. Failure criteria for FRP laminates in plane stress. In: 44th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference, Norfolk, Virginia, USA, 1 November 2003, p. 1991.
28.
LindePPleitnerJde BoerH, et al.Modelling and simulation of fibre metal laminates. In: ABAQUS Users’ conference, Boston, MA, USA, 19 May 2004.
