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Delamination Modeling and Assessment for Composite Laminated Plates using Particle Swarm Optimization (PSO)

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Nabil H. Hadi

Nabil H Hadi. Article: Delamination Modeling and Assessment for Composite Laminated Plates using Particle Swarm Optimization (PSO). International Journal of Computer Applications 134(1):31-41, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Nabil H. Hadi},
	title = {Article: Delamination Modeling and Assessment for Composite Laminated Plates using Particle Swarm Optimization (PSO)},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {134},
	number = {1},
	pages = {31-41},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


This work reports on the finite element method and particle swarm optimization method (PSO) for modeling and identification of delamination in composite material. A first order shear deformation using nine nodded isoparametric quadratic element with a simple multiple delamination model is used to develop the finite element analysis procedure. Delamination is the most common failure mechanism in composite structures. These damage causes changes in the physical properties by reducing the stiffness of the structure which leads to changes in modal parameters such as the frequencies, mode shapes, and modal damping factors. Identify the presence of damage and assess its size and location from a few lower frequency modes in modal test is the main objective of this study. Particle Swarm Optimization delamination detection based on the utilization of the changes in modal parameters as the objective function successfully identify the presence, location, and relative area size in composite laminated plates.


  1. Obinna, K.I . 2012. Vibration based damage detection in composite structures using computational intelligence tools, Thesis ,University of New South Wales Australian Defence Force Academy.
  2. Zheng, J.Q. Zheng, L. and Hong, T.W. 2011. A genetic fuzzy radial basis function neural network for structural health monitoring of composite laminated beams. Expert Systems with Applications, 38:11837–11842.
  3. VENNA, V. W. 2012. Delamination effect on response of a composite beam by wave plate spectral finite element method. Thesis, National institute of technology, Rourkela, Orissa.
  4. Rytter, A. and Kirkegaard, P.H. 1993. The Use of neural networks for damage detection and location in steel member,” Third international conference on the application of artificial intelligence of civil engineering, Edinburgh.
  5. Gomes, H.M., and Silva, N.R.S. 2008. Some comparisons for damage detection on structures using genetic algorithms and modal sensitivity method. Applied Mathematical Modeling,. Vol. 32, p. 2216–2232.
  6. Ali,Y., and Krishna, S. Structural Health Monitoring of Composites using System Identification," 15th Australian International Aerospace Congress (AIAC15).
  7. Shen,S. Gun,J.Y. and Pizhong, Q. 2010. Delamination identification of laminated composite plates using a continuum damage mechanics model and subset selection technique, Smart materials and structures. 19, 055024 (13pp).
  8. Vinh,P. N., Pierre,K., and Stephane, P.A. 2013. Isogeometric cohesive elements for two and three dimensional composite delamination analysis. Elsevier Science, Journal of Composites: Part B, Engineering.
  9. Seth,S.K. and etal. 2002. Damage detection in composite materials using frequency response methods. science direct, Composites Part B: Engineering Volume 33, Issue 1, January, Pages 87–95.
  10. Kyoung, T.K. and et al. 2011. Damage detection of composite plates using finite element analysis based on structural health monitoring," Journal of Materials Science and Engineering B1,14-21.
  11. Oruganti,K. Mehdizadeh,M. John, S. and Herzberg, I. 2008. Damage detection in composites using vibration signatures," Conference: Proceedings of the International Conference on Scientific Computing, CSC, Las Vegas, Nevada, USA.
  12. Nasiri,M.R. Mahjoob, M.J. and Aghakasiri, A. 2011. Damage Detection in a Composite Plate Using Modal Analysis and Artificial Intelligence. Appl. Compos Mater 18:513–520.
  13. Ferdinando, A. and Elio,S. 1999. A mixed enhanced finite element for the analysis of laminated composite plates. Int. J. Numer. Meth. Engng. 44, 1481-1504.
  14. Venkata, S. K. 2007. Static analysis of cross-ply laminated composite plate using finite element method. Thesis, Department of mechanical engineering national institute of technology, Rourkela.
  15. Parhi,P.K. Bhattacharyya, S.K. and Sinha, P.K. 2001. Failure analysis of multiple delaminated composite plates due to bending and impact. Bull. Mater. Sci., Vol. 24, No. 2, pp. 143–149. © Indian Academy of Sciences.
  16. Sudip,D. Ankuran, S. and Amit, K. 2011. Free vibration analysis of bending stiff composite conical shells with delamination–A finite element approach. Proceedings of the International Conference on Mechanical Engineering (ICME2011) 18-20, Dhaka, Bangladesh.
  17. Gim, C.K. Plate finite element modeling of laminated plates. Composite Structure, Vol. 52, pp.157-168.
  18. Wang,S. and Dawe,D.J. 2002. Dynamic instability of composite laminated rectangular plates and prismatic plate structures. Elsevier Science, Comput. Methods Appl. Mech. Engrg. 191,1791–1826
  19. Sandesh, S. and Krishnapillai, S. 2011. Structural damage detection using a hybrid particle swarm algorithm. World Journal of Modeling and Simulation Vol. 7, No. 4, pp. 290-298.
  20. SAID, L. AMIRA,G. and SALIM,C. A modified hybrid particle swarm optimization algorithm for solving the traveling salesmen problem. 2012. Journal of Theoretical and Applied Information Technology, Vol. 39 No.2.
  21. Rosilene, A.P. Leonardo, T.S. and Roberto,A.T. 2013. Damage identification in plates via flexibility matrix from noisy data using the particle swarm optimization method," DINAME - Proceedings of the XV International Symposium on Dynamic Problems of Mechanics M.A. Savi (Editor), ABCM, Buzios, RJ, Brazil, February 17-22.
  22. Chen, J. Peng, Ge, W. R. and Wei, J. 2009. Optimal design of composite laminates for minimizing delamination stresses by particle swarm optimization combined with FEM. Structural Engineering and Mechanics, Vol. 31, No. 4, 407-421.
  23. Israr, U. and Jyoti, K.S. 2013. A Novel Method for Delamination Detection in Composites," International Journal of Innovation and Applied Studies ISSN 2028-9324 Vol. 2 No. 1 Jan., pp. 34-42.
  24. N Hu, H Fukunaga, M Kameyama, and Y Aramaki, 2002. Vibration analysis of delaminated composite beams and plates using a higher-order finite element," International Journal of Mechanical Sciences 44,1479–1503.
  25. Nosier, A. Kapania, R.K. and Reddy,J.N. 1993. Free vibration analysis of laminated plates using a layerwise theory. AIAA Journal;31(12):2335–46.
  26. Park, T. Lee, S.Y. and Voyiadjis, G.Z. 2009. Finite element vibration analysis of composite skew laminates containing delaminations around quadrilateral cutouts. Elsevier Science, Composites: Part B, 40,225–236.


composite laminates, Vibration Monitoring, Delamination, Damage Detection, Structural Health Monitoring , Finite element analysis