Laboratory for Atomistic and Molecular Mechanics (LAMM), Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA.
Studio Tomás Saraceno, Hauptstrasse 11/12, 10317 Lichtenberg, Berlin, Germany.
J R Soc Interface. 2018 Sep 19;15(146):20180193. doi: 10.1098/rsif.2018.0193.
Spiders are abundantly found in nature and most ecosystems, making up more than 47 000 species. This ecological success is in part due to the exceptional mechanics of the spider web, with its strength, toughness, elasticity and robustness, which originate from its hierarchical structures all the way from sequence design to web architecture. It is a unique example in nature of high-performance material design. In particular, to survive in different environments, spiders have optimized and adapted their web architecture by providing housing, protection, and an efficient tool for catching prey. The most studied web in literature is the two-dimensional (2D) orb web, which is composed of radial and spiral threads. However, only 10% of spider species are orb-web weavers, and three-dimensional (3D) webs, such as funnel, sheet or cobwebs, are much more abundant in nature. The complex spatial network and microscale size of silk fibres are significant challenges towards determining the topology of 3D webs, and only a limited number of previous studies have attempted to quantify their structure and properties. Here, we focus on developing an innovative experimental method to directly capture the complete digital 3D spider web architecture with micron scale resolution. We built an automatic segmentation and scanning platform to obtain high-resolution 2D images of individual cross-sections of the web that were illuminated by a sheet laser. We then developed image processing algorithms to reconstruct the digital 3D fibrous network by analysing the 2D images. This digital network provides a model that contains all of the structural and topological features of the porous regions of a 3D web with high fidelity, and when combined with a mechanical model of silk materials, will allow us to directly simulate and predict the mechanical response of a realistic 3D web under mechanical loads. Our work provides a practical tool to capture the architecture of sophisticated 3D webs, and could lead to studies of the relation between architecture, material and biological functions for numerous 3D spider web applications.
蜘蛛在自然界和大多数生态系统中大量存在,构成了超过 47000 种物种。这种生态上的成功部分归因于蜘蛛网的特殊力学性能,其强度、韧性、弹性和坚固性源于从序列设计到蛛网结构的层次结构。它是自然界中高性能材料设计的一个独特范例。特别是,为了在不同的环境中生存,蜘蛛通过提供住所、保护和高效的捕食工具,优化和适应了它们的蛛网结构。文献中研究最多的蛛网是二维(2D)圆网,它由辐射线和螺旋线组成。然而,只有 10%的蜘蛛物种是圆网蜘蛛,而三维(3D)蛛网,如漏斗网、片状网或巢状网,在自然界中更为丰富。丝线的复杂空间网络和微观尺寸对确定 3D 蛛网的拓扑结构构成了重大挑战,只有少数先前的研究尝试对其结构和特性进行量化。在这里,我们专注于开发一种创新的实验方法,直接捕捉具有微米级分辨率的完整数字 3D 蜘蛛蛛网结构。我们构建了一个自动分割和扫描平台,以获得由片激光照射的单个网截面的高分辨率 2D 图像。然后,我们开发了图像处理算法,通过分析 2D 图像来重建数字 3D 纤维网络。该数字网络提供了一个模型,其中包含具有高保真度的 3D 蛛网多孔区域的所有结构和拓扑特征,并且与丝绸材料的机械模型结合使用,将使我们能够直接模拟和预测在机械负载下真实 3D 蛛网的机械响应。我们的工作提供了一种实用的工具来捕捉复杂的 3D 蛛网结构,并可能导致对众多 3D 蛛网应用的结构、材料和生物功能之间关系的研究。