Soyarslan et al. [J. Mater. Res. 33(20), 3371 (2018)] proposed a beam-finite element model for the computation of effective elastic properties of nanoporous materials, where the ligament diameter along the skeleton is determined with the biggest sphere algorithm. Although this algorithm is often used in the literature, it is known that it systematically overestimates the diameter in network structures. Thus, the need for further stiffening of the junction zones as proposed by the authors is in contradiction to the literature. Furthermore, the factor 40 appears to be one order of magnitude too high. We show that the 3D microstructures generated from random Gaussian fields contain features that are violating the assumption of circular cross-sections and, therefore, cannot be captured by the biggest sphere algorithm. Consequently, the authors required an unphysically high value of 40 to compensate this hidden effect.

中文翻译：

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C. Soyarslan 等人对“随机双连续材料的基于骨架化的梁有限元模型：纳米多孔金模拟的应用”的评论。[J. 母校。水库 33(20), 3371 (2018)]

索亚斯兰等人。[J. 母校。水库 33(20), 3371 (2018)] 提出了一种用于计算纳米多孔材料有效弹性特性的梁有限元模型，其中沿骨架的韧带直径由最大球算法确定。尽管该算法经常在文献中使用，但众所周知，它系统地高估了网络结构中的直径。因此，作者提出的进一步加强连接区的需要与文献相矛盾。此外，因子 40 似乎高出一个数量级。我们表明，从随机高斯场生成的 3D 微结构包含违反圆形横截面假设的特征，因此无法被最大球体算法捕获。最后，