论文标题
由曲率驱动的增长模型再现了树木白蚁巢的几何特征
A growth model driven by curvature reproduces geometric features of arboreal termite nests
论文作者
论文摘要
我们提出了一个简单的三维模型,以描述由其表面局部平均曲率驱动的底物的自主扩展。该模型旨在重现树木鼻nasutitermes白蚁的巢构建过程,它们的合作可能同样是通过它们所行驶的结构的形状来介导的,例如,将局部平均曲率高的白蚁的建筑物聚焦。我们采用一个相位模型,其中嵌套由一个连续的标量场描述,其生长受一个可调参数d的单个非线性方程的控制。当d足够大时,方程式是线性不稳定的,并相当复制了一个生长过程,在该过程中,初始壁扩展,分支和合并,同时逐渐入侵了所有可用空间,这与真正的巢的复杂结构一致。有趣的是,与我们的生长方程相关的线性问题类似于对称面内压缩下的薄弹性板的屈曲,这也已知通过非线性和次要不稳定性产生丰富的模式。我们通过从现场收集两种树木鼻液的巢穴并使用微CT扫描仪对结构进行成像,从而验证了我们的模型。我们发现真实和模拟巢之间的相似之处是特征性长度尺度的出现,以及具有零均值曲率的鞍形表面的丰度,验证了我们生长模型的驱动机制的选择。
We present a simple three-dimensional model to describe the autonomous expansion of a substrate which grows driven by the local mean curvature of its surface. The model aims to reproduce the nest construction process in arboreal Nasutitermes termites, whose cooperation may similarly be mediated by the shape of the structure they are walking on, for example focusing the building activity of termites where local mean curvature is high. We adopt a phase-field model where the nest is described by one continuous scalar field and its growth is governed by a single nonlinear equation with one adjustable parameter d. When d is large enough the equation is linearly unstable and fairly reproduces a growth process where the initial walls expand, branch and merge, while progressively invading all the available space, which is consistent with the intricate structures of real nests. Interestingly, the linear problem associated to our growth equation is analogous to the buckling of a thin elastic plate under symmetric in-plane compression which is also known to produce rich pattern through non linear and secondary instabilities. We validated our model by collecting nests of two species of arboreal Nasutitermes from the field and imaging their structure with a micro-CT scanner. We found a strong resemblance between real and simulated nests, characterised by the emergence of a characteristic length-scale and by the abundance of saddle-shaped surfaces with zero-mean curvature which validates the choice of the driving mechanism of our growth model.