복합소재의 연속 두께 변화를 통한 좌굴온도 및 모드형상 최적화

초록

In this study, we presented a novel size optimization framework to control the linear buckling temperature and several buckling modes ofplates, by optimizing thickness values of composite structures for practical engineering applications. Predicting the buckling temperature andmode shape of structures is a vital research topic in engineering to achieve structural stability. However, optimizing designs of engineeringstructures through engineering intuition is challenging. To address this limitation, we proposed a method that combines finite elementsimulation and size optimization. Based on the idea that the structural buckling temperature and mode shape of a plate are affected by thethickness of the structure, the thickness values of the nodes of the target structure were set as the design variables in this optimization method;and the buckling temperature values, and buckling mode shapes were set as the objective functions. This size optimization method enabled thedetermination of optimal thickness distributions, to induce the desired buckling temperature values and mode shapes. The validity of theproposed method was verified in terms of their buckling temperature values and buckling mode shapes, using several numerical examples ofrectangular composite structures.

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