Optimization of laminated composites considering different failure criteria

Composites Part B: Engineering

Volumn 40, Issue 8, 2009, Pages 731-740

  Lopez, R H ^a   Luersen, M A ^b   Cursi, E S ^a  

^a UNIVERSITÉ ET INSA DE ROUEN   (France)

^b UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

Author keywords

A. Laminates; B. Strength; Optimization

Indexed keywords

B. STRENGTH; DESIGN VARIABLES; FAILURE CRITERIA; FIRST-PLY FAILURE; IN-PLANE LOADS; LAMINATED PLATE; LOAD CONDITION; MATERIAL COST; MAXIMUM STRESS; MINIMUM WEIGHT; NUMBER OF LAYERS; OPTIMAL STRUCTURES; OPTIMIZATION PROBLEMS; PLY ORIENTATION; STRENGTH OPTIMIZATION; TSAI-WU;

AC GENERATOR MOTORS; LAMINATED COMPOSITES; LAMINATING;

OPTIMIZATION;

EID: 71249149269     PISSN: 13598368     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compositesb.2009.05.007     Document Type: Article

References (40)

1. Jones R.M. Mechanics of composite materials (1999), Taylor & Francis, Philadelphia (PA)
2. Le Riche R., and Haftka R. Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm. AIAA J 31 (1993) 951-956
3. Nagendra S., Jestin D., Gurdal Z., Haftka R., and Watson L. Improved genetic algorithm for the design of stiffened composite panels. Comput Struct 58 (1994) 543-555
4. Todoroki A., and Haftka R. Stacking sequence optimization by a genetic algorithm with a new recessive gene like repair strategy. Composites B 29 (1998) 277-285
5. Seresta O., Gürdal Z., Adams D.B., and Watson L.T. Optimal design of composite wing structures with blended laminates. Composites B 38 (2007) 469-480
6. Le Riche R., and Haftka R. Improved genetic algorithm for minimum thickness composite laminate design. Compos Eng 5 (1995) 143-161
7. Rahul, Sandeep G., Chakraborty D., and Dutta A. Multi-objective optimization of hybrid laminates subjected to transverse impact. Compos Struct 73 (2005) 360-369
8. Murugan M.S., Suresh S., Ganguli R., and Mani V. Target vector optimization of composite box beam using real-coded genetic algorithm: a decomposition approach. Struct Multidiscip Optim 33 (2007) 131-146
9. Kogiso N., Watson L.T., Gurdal Z., Haftka R.T., and Nagendra S. Design of composite laminates by a genetic algorithm with memory. Mech Compos Mater Struct 1 1 (1994) 95-117
10. Gantovnik V.B., Anderson-Cook C.M., Gurdal Z., and Watson L.T. A genetic algorithm with memory for mixed discrete-continuous design optimization. Comput Struct 81 (2003) 2003-2009
11. Gantovnik V.B., Gurdal Z., and Watson L.T. A genetic algorithm with memory for optimal design of laminated sandwich composite panels. Compos Struct 58 (2002) 513-520
12. Walker M., and Smith R.E. A technique for the multiobjective optimisation of laminated composite structures using genetic algorithms and finite element analysis. Compos Struct 62 (2003) 123-128
13. Lin C.C., and Lee Y.J. Stacking sequence optimization of laminated composite structures using genetic algorithm with local improvement. Compos Struct 63 (2004) 339-345
14. Park C.H., Lee W., Han W.S., and Vautrin A. Improved genetic algorithm for multidisciplinary optimization of composite laminates. Comput Struct 86 (2008) 1894-1903
15. Kang J.H., and Kim C.G. Minimum-weight design of compressively loaded composite plates and stiffened panels for postbuckling strength by Genetic Algorithm. Compos Struct 69 (2005) 239-246
16. Naik G.N., Gopalakrishnan S., and Ganguli R. Design optimization of composites using genetic algorithms and failure mechanism based failure criterion. Compos Struct 83 (2008) 354-367
17. Akbulut M., and Sonmez F.O. Optimum design of composite laminates for minimum thickness. Comput Struct 86 (2008) 1974-1982
18. Liu B., Haftka R., Akgun M., and Todoroki A. Permutation genetic algorithm for stacking sequence design of composite laminates. Comput Meth Appl Mech Eng 186 (2000) 357-372
19. Michalewicz Z. Genetic algorithms + data structures = evolution programs (1994), Springer, Berlin
20. Soremekun G., Gurdal Z., Haftka R.T., and Watson L.T. Composite laminate design optimization by genetic algorithm with generalized elitist selection. Comput Struct 79 (2001) 131-143
21. Goldberg D.E. Genetic algorithms in search optimization and machine learning (1989), Addison-Wesley, Reading (MA)
22. Herrera F., Lozano M., and Sanchez A.M. Hybrid crossover operators for real-coded genetic algorithms: an experimental study. Soft Comput 9 (2005) 280-298
23. Vannucci P. Designing the elastic properties of laminates as an optimisation problem: a unified approach based on polar tensor invariants. Struct Multidiscip Optim 31 (2006) 378-387
24. Vannucci P., and Vincenti A. The design of laminates with given thermal/hygral expansion coefficients: a general approach based upon the polar-genetic method. Compos Struct 79 (2007) 454-466
25. Groenwold A., and Haftka R. Optimization with non-homogeneous failure criteria like Tsai-Wu for composite laminates. Struct Multidiscip Optim 32 (2006) 183-190
26. Adali S., Richter A., Verijenko V.E., and Summers E.B. Optimal design of hybrid laminates with discrete ply angles for maximum buckling load and minimum cost. Compos Struct 32 (1995) 409-415
27. Daniel I.M. Failure of composite materials vol. 43 (2007), Blackwell Publishing Ltd. Strain 4-12
28. Puck A., and Schürmann H. Failure analysis of FRP laminates by means of physically based phenomenological models. Compos Sci Technol 58 (1998) 1045-1067
29. Puck A. Festigkeitsanalyse von Faser-Matrix-Laminaten: Modelle für die Praxis. Wien, Hanser: München; 1996.
30. Failure of polymeric composite structures: mechanisms and criteria for prediction of performance. SERC/I.Mech.E Annual expert meeting, 23-25 September 1991, Sopwell House, St. Albans, UK [a report compiled by C.E. Neal-Sturgress].
31. Hinton M.J., and Soden P.D. Predicting failure in composite laminates: the background to the exercise. Compos Sci Technol 58 (1998) 1001-1010
32. Hinton M.J., Soden P.D., and Kaddour A.S. Evaluation of failure prediction in composite laminates: background to 'part B' of the exercise. Compos Sci Technol 62 (2002) 1481-1488
33. Hinton M.J., Soden P.D., and Kaddour A.S. Evaluation of failure prediction in composite laminates: background to 'part C' of the exercise. Compos Sci Technol 64 (2004) 321-327
34. Soden P.D., Hinton M.J., and Kaddour A.S. Comparison of the predictive capabilities of current failure theories for composite laminates. Compos Sci Technol 58 (1998) 1225-1254
35. Hinton M.J., Kaddour A.S., and Soden P.D. A comparison of the predictive capabilities of current failure theories for composite laminates, judged against experimental evidence. Compos Sci Technol 62 (2002) 1725-1798
36. Kaddour A.S., Hinton M.J., and Soden P.D. A comparison of the predictive capabilities of current failure theories for composite laminates: additional contributions. Compos Sci Technol (2004) 64449-64476
37. Hinton M.J., Kaddour A.S., and Soden P.D. A further assessment of the predictive capabilities of current failure theories for composite laminates: comparison with experimental evidence. Compos Sci Technol 64 (2004) 549-588
38. Soize C. A nonparametric model of random uncertainties for reduced matrix models in structural dynamics. Probabilist Eng Mech 15 (2000) 277-294
39. Salas P., and Venkataraman S. Laminate optimization incorporating analysis and model parameter uncertainties for predictable failure. Struct Multidiscip Optim 37 (2009) 541-555
40. Gurdal Z., Haftka R., and Hajela P. Design and optimization of laminated composite materials (1999), Wiley, New York