Reliability based optimization of laminated composite structures using genetic algorithms and Artificial Neural Networks

Structural Safety

Volumn 33, Issue 3, 2011, Pages 186-195

  Gomes, Herbert Martins ^a   Awruch, Armando Miguel ^a   Lopes, Paulo André Menezes ^b  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE   (Brazil)

Author keywords

Artificial Neural Networks; Composite materials; Finite element analysis; Genetic algorithms; Reliability analysis

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTATIONAL COSTS; COMPUTATIONAL TIME; FIBER ORIENTATIONS; FINITE ELEMENT ANALYSIS; IMPORTANCE SAMPLING; LOSS OF ACCURACY; MONTE CARLO; MULTI LAYER PERCEPTRON; NONLINEAR BEHAVIOR; OPTIMIZATION PROCESS; RADIAL BASIS; RELIABILITY BASED OPTIMIZATION; RELIABILITY CONSTRAINTS; RELIABILITY INDEX;

COMPOSITE MATERIALS; DELAMINATION; FINITE ELEMENT METHOD; GENETIC ALGORITHMS; LAMINATING; MONTE CARLO METHODS; MULTILAYER NEURAL NETWORKS; SHAPE OPTIMIZATION; STRUCTURAL DESIGN; STRUCTURAL OPTIMIZATION; STRUCTURE (COMPOSITION);

RELIABILITY ANALYSIS;

EID: 79957627454     PISSN: 01674730     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.strusafe.2011.03.001     Document Type: Article

References (26)

1. Ang A.A.-H., Tang W.H. Probability concepts in engineering planning and design. Decision, risk and reliability 1984, vol. II. Wiley.
2. Almeida F.S., Awruch A.M. Design optimization of composite laminated structures using genetic algorithms and finite element analysis. Compos Struct 2009, 88(3):443-454. 10.1016/j.compstruct.2008.05.004.
3. Bathe K.J., Ho L., Batoz J. A study of three-node triangular plate bending elements. Int J Numer Methods Eng 1980, 15:1771-1812.
4. Cryssanthopoulos M.K., Poggi C. Probabilistic imperfection sensitivity analysis of axially compressed composite cylinders. Eng Struct 1995, 17(6):398-406.
5. Daniel I.M., Ishai O. Engineering mechanics of composite materials 1994, Oxford University Press.
6. Frangopol D.M., Recek S. Reliability of reinforced composite laminate plates. Probabilistic Eng Mech 2003, 18:119-137.
7. Goldberg D.E. Genetic algorithms in search, optimization and machine learning 1989, R. Addison-Wesley Publishing, MA.
8. Gomes H.M., Awruch A.M. Comparisons of different methods for structural reliability analysis. Struct Safety 2004, 26:49-67. 10.1016/S0167-4730(03)00022-5.
9. Gomes H.M., Awruch A.M. Reliability of reinforced concrete structures using stochastic finite elements. Eng Comput 2002, 19(7):764-786.
10. Gomes H.M., Awruch A.M. Reliability analysis of concrete structures with neural networks and response surfaces. Eng Comput 2005, 22(1):110-128.
11. Gürdal Z., Haftka R.T., Hajela P. Design and optimization of laminated composite materials 1999, Wiley & Sons.
12. Haldar A., Mahadevan S. Probability, reliability and statistical methods in engineering design 1999, Wiley & Sons.
13. Haykin S. Artificial neural networks: a comprehensive foundation 1999, Prentice Hall, New Jersey (USA).
14. Jones R.M. Mechanics of composite materials 1999, Taylor & Francis, Philadelphia, PA. 2nd ed.
15. Kaw A.K. Mechanics of composites materials 2006, CRC Taylor & Francis Group, Boca Raton, 457p. 2nd ed.
16. Kam T.Y., Chang E.S. Reliability formulation for composite laminates subjected to fist-ply failure. Compos Struct 1997, 38(1-4):447-452.
17. Melchers R.E. Structural reliability analysis and prediction 1999, Wiley, 456p. 2nd ed.
18. Miki M. Optimum design of fibrous laminated composite plates subject to axial composition. Composites ́86: recent advances in Japan and the United States 1986, 673-680. Japan Society for Composite Materials, Tokio. K. Kawata, S. Umekawa, A. Kobayashi (Eds.).
19. Mitsunori M., Yoshiada M., Tetsou T., Shaoewn S. Reliability of unidirectional fibrous composites. Am Inst Aeronaut Astronaut J 1980, 28(11):1980-1986.
20. Muc A., Gurba W. Genetic algorithms and finite element analysis in optimization of composite structures. Compos Struct 2001, 54(2-3):275-281.
21. Murotsu Y., Miki M., Shao S. Reliability design of fiber reinforced composites. Struct Safety 1994, 15:35-49.
22. Naik G.N., Gopalakrishnan S., Ganguli R. Design optimization of composites using genetic algorithms and failure mechanism based failure criterion. Compos Struct 2008, 83(4):354-367.
23. Ngah M.F., Young A. Application of the spectral stochastic finite element method for performance prediction of composite structures. Compos Struct 2007, 78(3):447-456.
24. Shao S., Murotsu Y. Reliability evaluation methods for systems with complex limit states. Reliability and optimization of structural systems '91 1992, 325-338. Springer, Berlin. R. Rackwitz, R. Thoft-Christensen (Eds.).
25. Sriramula S., Cryssanthopoulos M.K. Quantification of uncertainty modeling in stochastic analysis of FRP composites. Compos: Part A 2009, 40:1673-1684.
26. Shaw A., Sriramula S., Gosling P.D., Cryssanthopoulos M.K. A critical reliability evaluation of fibre reinforced composite materials based on probabilistic micro and macro-mechanical analysis. Compos: Part B 2010, 41:446-453.