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Topology optimization of functionally-graded lattice structures with buckling constraints

机译:用屈曲约束的功能分级晶格结构的拓扑优化

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Lattice structures have been widely studied due to their advantage of low stiffness-to-weight ratio or sometimes auxetic properties. This paper presents a topology optimization method for structures with functionally-graded infill lattices with buckling constraints, which minimizes compliance while ensuring a prescribed level of structural stability against buckling failures. To realize topologically-optimized structures filled with functionally-graded lattices, Helmholtz PDE-filter with a variable radius is applied on the density field in Solid Isotropic Material with Penalization (SIMP) method. Buckling load factors based on the linear buckling analysis is employed as buckling constraints. Numerical examples show that proposed method can generate stiff structures comparable to the ones by the SIMP, with functionally-graded infill lattices that improve the structural stability by avoiding long, slender features under compression. (C) 2019 Elsevier B.V. All rights reserved.
机译:由于它们的优点是低刚度与重量比或有时辅助性能而被广泛研究了格子结构。本文介绍了具有屈曲约束的功能分级填充格子的结构的拓扑优化方法,这最大限度地减少了合规性,同时确保了对屈曲故障的规定结构稳定性水平。为了实现填充有功能分级晶格的拓扑优化的结构,Helmholtz PDE过滤器,可变半径施加在阳性各向同性材料中的密度场上,达到惩罚(SIMP)方法。基于线性屈曲分析的屈曲负载因子被用作屈曲约束。数值示例表明,所提出的方法可以产生与SIMP相当的坚硬的结构,具有通过避免压缩下的长长的细长特征来提高结构稳定性的功能梯度填充格子。 (c)2019 Elsevier B.v.保留所有权利。

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