Artificial Neural Network (ANN)-Based Predictive Tool for Estimating Lightning Damage in Composites
Abstract
10.12783/asc36/35819
Full Text:
PDFReferences
Lee J. Experimental Studies and Finite Element Modeling of Lightning Damage to
Carbon/Epoxy Laminated and Stitched Composites. 2017.
Lee J, Lacy TE, Pittman CU. Lightning Mechanical Damage Prediction in Carbon/Epoxy
Laminates using Equivalent Air Blast Overpressure. Compos Part B Eng 2021;212:108649.
https://doi.org/10.1016/j.compositesb.2021.108649.
Hirano Y, Katsumata S, Iwahori Y, Todoroki A. Artificial Lightning Testing on
Graphite/Epoxy Composite Laminate. Compos Part A Appl Sci Manuf 2010;41:1461–70.
https://doi.org/10.1016/j.compositesa.2010.06.008.
Dong Q, Guo Y, Chen J, Yao X, Yi X, Ping L, et al. Influencing factor analysis based on
electrical-thermal-pyrolytic simulation of carbon fiber composites lightning damage.
Compos Struct 2016;140:1–10. https://doi.org/10.1016/j.compstruct.2015.12.033.
Kamiyama S, Hirano Y, Okada T, Ogasawara T. Lightning Strike Damage Behavior of
Carbon Fiber Reinforced Epoxy, Bismaleimide, and Polyetheretherketone Composites.
Compos Sci Technol 2018;161:107–14. https://doi.org/10.1016/j.compscitech.2018.04.009.
Sun J, Yao X, Tian X, Chen J, Wu Y. Damage Characteristics of CFRP Laminates Subjected
to Multiple Lightning Current Strike. Appl Compos Mater 2019;26:745–62.
https://doi.org/10.1007/s10443-018-9747-4.
Guo Y, Dong Q, Chen J, Yao X, Yi X, Jia Y. Comparison Between Temperature and
Pyrolysis Dependent Models to Evaluate the Lightning Strike Damage of Carbon Fiber
Composite Laminates. Compos Part A Appl Sci Manuf 2017;97:10–8.
https://doi.org/10.1016/j.compositesa.2017.02.022.
Gou J, Tang Y, Liang F, Zhao Z, Firsich D, Fielding J. Carbon Nanofiber Paper for
Lightning Strike Protection of Composite Materials. Compos Part B Eng 2010;41:192–8.
Feraboli P, Kawakami H. Damage of Carbon/Epoxy Composite Plates Subjected to
Mechanical Impact and Simulated Lightning. J Aircr 2010;47:999–1012.
https://doi.org/10.2514/1.46486.
Dong Q, Wan G, Ping L, Guo Y, Yi X, Jia Y. Coupled Thermal-Mechanical Damage Model
of Laminated Carbon Fiber/Resin Composite Subjected to Lightning Strike. Compos Struct
;206:185–93. https://doi.org/10.1016/J.COMPSTRUCT.2018.08.043.
Wang FS, Ji YY, Yu XS, Chen H, Yue ZF. Ablation Damage Assessment of Aircraft
Carbon Fiber/Epoxy Composite and its Protection Structures Suffered from Lightning Strike.
Compos Struct 2016;145:226–41.
Ogasawara T, Hirano Y, Yoshimura A. Coupled Thermal-Electrical Analysis for Carbon
Fiber/Epoxy Composites Exposed to Simulated Lightning Current. Compos Part A Appl Sci
Manuf 2010;41:973–81. https://doi.org/10.1016/j.compositesa.2010.04.001.
Feraboli P, Miller M. Damage Resistance and Tolerance of Carbon/Epoxy Composite
Coupons Subjected to Simulated Lightning Strike. Compos Part A Appl Sci Manuf
;40:954–67. https://doi.org/10.1016/j.compositesa.2009.04.025.
Hirano Y, Yokozeki T, Ishida Y, Goto T, Takahashi T, Qian D, et al. Lightning Damage
Suppression in a Carbon Fiber-Reinforced Polymer with a Polyaniline-Based Conductive
Thermoset Matrix. Compos Sci Technol 2016;127:1–7.
https://doi.org/10.1016/j.compscitech.2016.02.022.
Yin JJ, Chang F, Li SL, Yao XL, Sun JR, Xiao Y. Lightning Strike Ablation Damage
Influence Factors Analysis of Carbon Fiber/Epoxy Composite Based on Coupled Electrical-
Thermal Simulation. Appl Compos Mater 2016;24:1–18. https://doi.org/10.1007/s10443-
-9577-1.
Yamashita S, Sonehara T, Takahashi J, Kawabe K, Murakami T. Effect of Thin-Ply on
Damage Behaviour of Continuous and Discontinuous Carbon Fibre Reinforced
Thermoplastics Subjected to Simulated Lightning Strike. Compos Part A Appl Sci Manuf
;95:132–40. https://doi.org/10.1016/j.compositesa.2017.01.010.
Yang B, Fu K, Lee J, Li Y. Artificial Neural Network (ANN)-Based Residual Strength
Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact. Appl Compos
Mater 2021:1–25. https://doi.org/10.1007/s10443-021-09891-1.
Muñoz R, Delgado S, González C, López-Romano B, Wang D, LLorca J. Modeling
Lightning Impact Thermo-Mechanical Damage on Composite Materials. Appl Compos
Mater 2014;21:149–64. https://doi.org/10.1007/s10443-013-9377-9.
Chen H, Wang FS, Ma XT, Yue ZF. The coupling mechanism and damage prediction of
carbon fiber/epoxy composites exposed to lightning current. Compos Struct 2018;203:436–
https://doi.org/10.1016/j.compstruct.2018.07.017.
Wang FS, Ding N, Liu ZQ, Ji YY, Yue ZF. Ablation Damage Characteristic and Residual
Strength Prediction of Carbon Fiber/Epoxy Composite Suffered from Lightning Strike.
Compos Struct 2014;117:222–33.
Lott T, Lee J, Dutta S. Optimal Design of Nanocomposite Material and Fabrication
Parameters Using Artificial Neural Network. Proc. 35th Am. Soc. Compos. Tech. Conf., vol.
, DEStech Publications; 2020. https://doi.org/10.12783/asc35/34905.
Lee J, Lacy TE, Pittman CU. Coupled Thermal Electrical and Mechanical Lightning
Damage Predictions to Carbon/Epoxy Composites During Arc Channel Shape Expansion.
Compos Struct 2021;255:112912. https://doi.org/10.1016/j.compstruct.2020.112912.
Demuth H, Beale M. Neural network toolbox for the use with Matlab. User’s guide, version
The MathWorks. 2002.
Patterson JC. Managing a Real-Time Massively-Parallel Neural Architecture 2012.
MathWorks. Deep Learning Toolbox 2021.
Lau ATC. GESD - A robust and effective technique for dealing with multiple outliers. Stand
News 2015;43:40–1.
Dixon BYWJ. Analysis of Extreme Values Author ( s ): W . J . Dixon Source : The Annals
of Mathematical Statistics , Vol . 21 , No . 4 ( Dec ., 1950 ), pp . 488-506 Published by :
Institute of Mathematical Statistics Stable URL : http://www.jstor.org/stable/2236602 .
;21:488–506.
Iglewicz B, Hoaglin DC. Volume 16: How to Detect and Handle Outliers", The ASQC Basic
References in Quality Control: Statistical Techniques. vol. 36. 1993.
Refbacks
- There are currently no refbacks.