...
首页> 外文期刊>Fluids >A Computational Model for Tail Undulation and Fluid Transport in the Giant Larvacean
【24h】

A Computational Model for Tail Undulation and Fluid Transport in the Giant Larvacean

机译:巨型幼虫尾部波动和流体运输的计算模型

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Flexible propulsors are ubiquitous in aquatic and flying organisms and are of great interest for bioinspired engineering. However, many animal models, especially those found in the deep sea, remain inaccessible to direct observation in the laboratory. We address this challenge by conducting an integrative study of the giant larvacean, an invertebrate swimmer and “fluid pump” of the mesopelagic zone. We demonstrate a workflow involving deep sea robots, advanced imaging tools, and numerical modeling to assess the kinematics and resulting fluid transport of the larvacean’s beating tail. A computational model of the tail was developed to simulate the local fluid environment and the tail kinematics using embedded passive (elastic) and active (muscular) material properties. The model examines how varying the extent of muscular activation affects the resulting kinematics and fluid transport rates. We find that muscle activation in two-thirds of the tail’s length, which corresponds to the observed kinematics in giant larvaceans, generates a greater average downstream flow speed than other designs with the same power input. Our results suggest that the active and passive material properties of the larvacean tail are tuned to produce efficient fluid transport for swimming and feeding, as well as provide new insight into the role of flexibility in biological propulsors.
机译:灵活的推进器在水生和飞行生物中普遍存在,对生物悬浮的工程感兴趣。然而,许多动物模型,尤其是在深海中发现的动物模型仍然无法在实验室中直接观察到。我们通过对巨型幼虫人,无脊椎动物游泳者和“中间型区域的”流体泵“进行综合研究来解决这一挑战。我们展示了一个涉及深海机器人,高级成像工具和数值模型的工作流程,以评估运动学和导致幼虫击打尾巴的流体运输。开发了一种尾部的计算模型,以使用嵌入的被动(弹性)和活性(肌肉)材料性能来模拟局部流体环境和尾动学。该模型研究了肌肉激活程度的程度如何影响所产生的运动学和流体运输速率。我们发现尾部长度的三分之二的肌肉激活,这对应于巨型幼虫的观察到的运动学,产生比具有相同电力输入的其他设计更大的平均下游流速。我们的研究结果表明,幼虫尾部的主动和被动材料特性被调整,以生产用于游泳和喂养的有效的流体运输,并为生物推进器中的灵活作用提供新的洞察力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号