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首页> 外文期刊>International journal of industrial and systems engineering >Genetic algorithm for reliability-based design optimisation of composite drive shaft
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Genetic algorithm for reliability-based design optimisation of composite drive shaft

机译：基于遗传算法的组合传动轴可靠性优化设计

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摘要

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.
机译：层压复合材料由于其高的比强度和刚度而广泛用于结构和汽车应用。然而，这种材料是强烈各向异性的，并且对加载条件的变化敏感。因此，有必要通过应用结构可靠性理论来考虑这种变化的影响。本文提出了一种基于可靠性的设计优化方法，以找到具有特定风险和可靠性的复合材料传动轴的优化设计。材料和几何特性不确定性的影响被认为可以量化失效的可能性。探索了遗传算法在确定关键设计参数中的应用。使用蒙特卡洛程序估算各种设计的可靠性，以确定满足目标可靠性的最佳堆叠顺序。

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