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Ant tunneling-a granular media perspective

机译:蚂蚁隧道-粒度媒体的观点

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Laboratory and field data show that the digging habits of ants and the resulting nest architecture vary with soil conditions, yet, the geomechanical understanding of ant tunneling is lacking. We study the excavation strategies used by harvester ants in clay, silt, sand, and gravel at water contents that range from dry to saturated. The study focuses on the conditions at the tunnel face that determine particle removal methods, digging rate, the development of branches, and tunneling patterns. Analytical and numerical models provide particle-level insight into the experimental observations and help identify the causal links that relate ants digging performance and nest geometric patterns with the properties of the granular medium such as grain size, moisture, and packing density. Results highlight ants' exceptional ability to sense the prevailing geomechanical conditions in tunnels, and to adapt excavation strategies, transport methods and tunneling patterns to those conditions, within their inherent size and strength limitations. The resulting tunnel structure emerges as a mechanically-convenient and energy-efficient topology based on local information gather by ants along the tunnel and at the tunnel face.
机译:实验室和现场数据表明,蚂蚁的挖掘习惯和所形成的巢结构会随土壤条件的变化而变化,但是,人们对蚂蚁隧洞的地质力学认识却缺乏。我们研究了在含水量从干到饱和不等的情况下,收割蚁在粘土,粉砂,沙子和砾石中使用的开挖策略。这项研究的重点是确定卸除颗粒的方法,挖掘速率,分支的发展和隧穿模式的条件。分析和数值模型可提供对实验观察结果的粒子级洞察力,并有助于确定将蚂蚁的挖掘性能和巢状几何图案与粒状介质的特性(例如粒度,水分和堆积密度)相关的因果关系。结果表明,蚂蚁具有非凡的能力,可以感知隧道中的主要地质力学条件,并在其固有的尺寸和强度限制范围内,针对这些条件调整开挖策略,运输方法和隧道模式。最终的隧道结构基于蚂蚁沿隧道和隧道面收集的本地信息,以机械便捷且节能的拓扑结构形式出现。

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