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Single- and Multiobjective Optimizations of Dimensionally Stable Composites Using Genetic Algorithms
Mechanics of Composite Materials ( IF 1.7 ) Pub Date : 2021-07-20 , DOI: 10.1007/s11029-021-09957-y
L. Aydin 1 , H. S. Artem 2 , H. A. Deveci 3
Affiliation  

The present study aims to design stacking sequences of dimensionally stable symmetric balanced laminated carbon/epoxy composites, with different numbers of layers, with a low coefficient of thermal expansion and high elastic moduli. To avoid excessive interlaminar stresses in the composites, the contiguity constraint for plies is also taken into consideration. In the design process, both single- and multiobjective optimization approaches, including genetic algorithms, are utilized. Results showed that stacking sequences ensuring lower thermal expansion coefficients and higher elastic moduli than those of traditional laminate designs can be obtained.



中文翻译:

使用遗传算法对尺寸稳定复合材料进行单目标和多目标优化

本研究旨在设计具有不同层数、低热膨胀系数和高弹性模量的尺寸稳定对称平衡层压碳/环氧树脂复合材料的堆叠序列。为了避免复合材料中过度的层间应力,还考虑了层的邻接约束。在设计过程中,使用了单目标和多目标优化方法,包括遗传算法。结果表明,与传统层压板设计相比,堆叠序列可确保更低的热膨胀系数和更高的弹性模量。

更新日期:2021-07-20
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