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Size optimization method for controlling the buckling mode shape and critical buckling temperature of composite structures

机译:用于控制屈曲模式形状和复合结构关键屈曲温度的尺寸优化方法

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摘要

The present study develops a novel size optimization method to control the buckling mode shape and associated buckling temperatures of plates. From a structural stability point of view, predicting the buckling temperature and mode shape of structures is one of the most important research topics in engineering. However, coming up with optimized engineering structures through engineering intuition for controlling these aspects is challenging. To address this limitation, the present study proposes the combination of finite element simulation and a size optimization scheme. Based on the idea that the structural buckling temperature and mode shape of a plate are mainly influenced by the thickness of the plate, in the optimization process, the thickness values of the divided sections of the target plate are set as the design variables. The buckling mode shape and buckling temperature are set as the objective functions, subjected to the total volume of the target plate. By applying the size optimization scheme, it is possible to determine the optimal thickness distributions for inducing the desired buckling mode shapes and buckling temperature values. The validity of the proposed size optimization method has been verified using several numerical examples.
机译:本研究开发了一种新颖的尺寸优化方法,以控制屈曲模式形状和板材的相关屈曲温度。从结构稳定性的角度来看,预测结构的屈曲温度和模式形状是工程中最重要的研究主题之一。然而,通过工程直觉来控制这些方面的优化工程结构是具有挑战性的。为了解决这些限制,本研究提出了有限元模拟和尺寸优化方案的组合。基于该思想,即板的结构屈曲温度和模式形状主要受到板厚度的影响,在优化过程中,目标板的划分部分的厚度值被设定为设计变量。屈曲模式形状和屈曲温度被设定为物镜功能,经受靶板的总体积。通过应用尺寸优化方案,可以确定用于诱导所需屈曲模式的最佳厚度分布和屈曲温度值。使用多个数值示例验证了所提出的尺寸优化方法的有效性。

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