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Genetic algorithm for reliability-based design optimisation of composite drive shaft

Author

Listed:
  • D. Jebakani
  • T. Paul Robert

Abstract

The laminated composite material is widely used in structural and automotive applications because of its high specific strength and stiffness. However, such material is strongly anisotropic and sensitive to the change in loading conditions. Therefore, it is necessary to consider the effect of such variations by applying the structural reliability theory. In this paper, reliability-based design optimisation methodology for finding the optimal design of composite drive shaft with a specific risk and reliability is presented. The effect of the uncertainties in material and geometric properties is considered to quantify the probability of failure. The application of genetic algorithm to determine the critical design parameters is explored. The reliability of various designs is estimated using Monte Carlo procedure to determine the optimal stacking sequence which meets the target reliability.

Suggested Citation

  • D. Jebakani & T. Paul Robert, 2011. "Genetic algorithm for reliability-based design optimisation of composite drive shaft," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 7(2), pages 224-253.
    • Handle: RePEc:ids:ijisen:v:7:y:2011:i:2:p:224-253
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