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首页> 外文期刊>Structural and multidisciplinary optimization >Topology optimization of density type for a linear elastic body by using the second derivative of a KS function with respect to von Mises stress
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Topology optimization of density type for a linear elastic body by using the second derivative of a KS function with respect to von Mises stress

机译:通过使用KS函数的第二衍生物相对于von误判压力,通过使用ks函数的第二导数对线性弹性体的密度型拓扑优化

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摘要

This study demonstrates the use of Newton method to solve topology optimization problems of density type for linear elastic bodies to minimize the maximum von Mises stress. We use the Kreisselmeier-Steinhauser (KS) function with respect to von Mises stress as a cost function to avoid the non-differentiability of the maximum von Mises stress. For the design variable, we use a function defined in the domain of a linear elastic body with no restriction on the range and assume that a density is given by a sigmoid function of the function of design variable. The main aim of this study involves evaluating the second derivative of the KS function with respect to variation of the design variable and to propose an iterative scheme based on an H-1 Newton method as opposed to the H-1 gradient method that was presented in previous studies. The effectiveness of the scheme is demonstrated by numerical results for several linear elastic problems. The numerical results show that the speed of the proposed H-1 Newton method exceeds that of the H-1 gradient method.
机译:本研究表明,使用牛顿方法解决线性弹性体密度型拓扑优化问题,以最大限度地减少最大von误判压力。我们使用Kreisselmeier-Steinhauser(KS)功能相对于Von Mises Regress作为成本函数,以避免最大Von Mises压力的不可差异性。对于设计变量,我们使用在线性弹性体的域中定义的函数,没有限制范围,并且假设通过设计变量的函数的S形函数给出密度。本研究的主要目的涉及评估KS函数的第二导数,相对于设计变量的变化,并基于H-1牛顿方法提出迭代方案,而不是所示的H-1梯度方法之前的学习。通过数值结果证明了该方案的有效性对于几个线性弹性问题。数值结果表明,所提出的H-1牛顿方法的速度超过了H-1梯度法的速度。

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