论文标题

生物网络的最佳弹性

Optimal elasticity of biological networks

论文作者

Ronellenfitsch, Henrik

论文摘要

从混凝土壳建筑物到诸如节肢动物外骨骼或二核植物植物叶的静脉网络等生物结构,加强弹性板在日常生活中围绕着我们。自然结构通常通过进化和自然选择高度优化,从而导致理解和应用其设计原理的生物学和实际相关问题。受植物叶中发现的层次组织脚手架网络的启发,我们在这里建模弯曲光束网络,以捕获天然材料的离散和不均匀性质。使用自然资源约束下的最大刚性原理,我们表明最佳离散光束网络将重现真实叶子静脉的结构特征。因此,除了有效运输水和养分的能力外,Venation网络还使用相同的分层网络拓扑来优化叶子刚度。我们研究最佳机械网络的相空间,为弹性结构的构建提供了具体的指南。我们通过制造有效的,具有生物学启发的超材料来实施这些自然设计规则。

Reinforced elastic sheets surround us in daily life, from concrete shell buildings to biological structures such as the arthropod exoskeleton or the venation network of dicotyledonous plant leaves. Natural structures are often highly optimized through evolution and natural selection, leading to the biologically and practically relevant problem of understanding and applying the principles of their design. Inspired by the hierarchically organized scaffolding networks found in plant leaves, here we model networks of bending beams that capture the discrete and non-uniform nature of natural materials. Using the principle of maximal rigidity under natural resource constraints, we show that optimal discrete beam networks reproduce the structural features of real leaf venation. Thus, in addition to its ability to efficiently transport water and nutrients, the venation network also optimizes leaf rigidity using the same hierarchical reticulated network topology. We study the phase space of optimal mechanical networks, providing concrete guidelines for the construction of elastic structures. We implement these natural design rules by fabricating efficient, biologically inspired metamaterials.

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