Abstract
Fibre-reinforced laminate composites have attractively high stiffnesses and strengths and low densities. However, designing with laminate composites is more difficult than designing with metals because (a) it involves the design of the material itself, and its manufacturing route, at the same time, (b) laminates are highly anisotropic, and (c) they have complex failure modes. The failure modes and anisotropy combine to make design details unintuitively important and small detailed-design oversights have been responsible for most failures in composite structures. Design is ‘the process of converting an idea into information from which a product can be made’. Thus the central role of information processing in any design activity implies that software should be able to help. Here we show three different ways in which laminate stacking sequences can be designed.
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References
Kedward, K.T. (1980) Composite Design Guide Encyclopedia. Vol. 5, University of Delaware
Sargent, P.M. (1991) Materials Information for CAD/CAM, Butterworth-Heinemann, London
Jones, R.M. (1975) Mechanics of Composite Materials, McGraw-Hill, New York
Ige, D.O. (1991) Optimizing composite laminate stacking sequence: a knowledge-based system's approach, Technical Report CUED/C-MATS/TR.184, Cambridge University Engineering Department, March
Sargent, P.M. (1990) Random search, simulated annealing and genetic algorithms, a survey for designing laminate layups, Technical Report EDRC 24-41-90, Engineering Design Center, Carnegie-Mellon University, November
Ball, N.R. (1991) Applying genetic algorithms to the design of laminate layups, Technical Report CUED/C-EDC/TR.6, Cambridge University Engineering Department, October
Rich, E.; Knight, K. (1991) Artifical Intelligence, 2nd edn, McGraw-Hill, New York.
Herakovich, C.T. (1981) On the relationship between engineering properties and delamination of composite materials, Journal of Composite Materials, 15, 336–348
Pagano, N.J.; Pipes, R.B. (1971) The influence of stacking sequence on laminate strength, Journal of Composite Materials, 5, 50–57
Ratwani, M.M.; Kan, H.P. (1982) Effect of stacking sequence on the damage propagation and failure modes in composite laminates, damage in composite materials, ASTM STP 775, American Society for Testing and Materials, 211–228
Ige, D.O. (1990) Application of knowledge-based systems to conceptual design of composite structure, Technical Report, EDRC 24-40-90, Engineering Design Research Center, Carnegie-Mellon University, August
Davis, L.; Steenstrup, M. (1987) Genetic algorithms and simulated annealing: an overview, Genetic Algorithms and Simulated Annealing, L. Davis (Editor), Morgan Kaufmann, San Mateo, California, 1–11
Goldberg, D.E. (1989) Genetid Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, Massachusetts
McLaughlin, M.P. (1989) Simulated annealing, Dr. Dobbs's Journal, September, 26–37 and 88–92
Grefenstetle, J.J. (1987) Incorporating problem specific knowledge into genetic algorithms. In ‘Genetic algorithms and simulated annealing’ L. Davis (Editor), Morgan Kaufman Publishers, pp 42–60
Holland, J.H. (1975) Adaption in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, Michigan
Goldberg, D.E. (1989) Sizing populations for serial and parallel genetic algorithms, Proceedings 3rd International Conference on Genetic Algorithms, George Mason University, June, J.D. Schaffer (Editor), Morgan Kaufmann, San Mateo, Calfornia
De Jong, K.A.; Spears, W.M. (1989) Using genetic algorithms to solve NP-complete problems, Proceedings of the 3rd International Conference on Genetic Algorithms, George Mason University, June, J.D. Schaffer (Editor), Morgan Kaufmann, San Mateo, California
Glover, D.E. (1987) Solving a complex keyboard configuration problem through generalized adaptive search, Genetic Algorithms and Simulated Annealing, L. Davis (Editor), Morgan Kaufmann, San Mateo, California, 12–31
Booker, L. (1987) Improving search in genetic algorithms, Genetic Algorithms and Simulated Annealing, L. Davis (Editor), Morgan Kaufmann, San Mateo, California, 61–73
Belew, R.K. (1989) When both individuals and populations search: adding simple learning to the genetic algorithm, Proceedings 3rd International Conference on Genetic Algorithms, George Mason University, June, J.D. Schaffer (Editor), Morgan Kaufmann, San Mateo, California
Eshelman, L.J.; Caruana, R.A.; Schaffer, J.D. (1989) Biases in the crossover landscape, Proceedings of the 3rd International Conference on Genetic Algorithms, George Mason University, June, J.D. Schaffer (Editor), Morgan Kaufmann, San Mateo, California
Huynen, M.A.; Hogeweg, P. (1989) Genetic algorithms and information accumulation during the evolution of gene regulation, Proceedings of the 3rd International Conference on Genetic Algorithms, George Mason University, June, J.D. Schaffer (Editor), Morgan Kaufmann, San Mateo, California
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Sargent, P.M., Ige, D.O. & Ball, N.R. Design of laminate composite layups using genetic algorithms. Engineering with Computers 11, 59–69 (1995). https://doi.org/10.1007/BF01312200
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DOI: https://doi.org/10.1007/BF01312200