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Behavior of a Bio-Inspired Adaptive Spider Web.

机译:受生物启发的自适应蜘蛛网的行为。

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摘要

This work is focused on the behavior of a passive and an adaptive spider webs. First, dynamic properties and the total energy change of a passive spider web is investigated. To better understand the performance, a model is developed to examine the effects of pretension, Young's modulus and damping ratio on the natural frequency and total energy of the web. Different web materials and configurations such as damaged webs are investigated. Experiments are performed to evaluate the theoretical model. It is demonstrated that the pretension, Young's modulus and damping ratio in the strings can significantly affect the natural frequency and total energy of the full and damaged webs. It is also shown that by increasing the pretension in the radial strings one can compensate for the damaged strings and increase the capability of the damaged web to reach that of the full web.;Next, an adaptive web system is designed to mimic the energy absorption ability of a spider web. To the best knowledge of the author, this is the first attempt to study an adaptive spider web. A finite element model is developed to examine the adaptive system. The pretension in the radial strings of the web is automatically controlled by a microcontroller. This system is able to control the web's energy absorption ability. It is shown that by controlling the pretensions in the radial strings, the web is able to control vibration.
机译:这项工作的重点是被动和自适应蜘蛛网的行为。首先,研究了无源蜘蛛网的动态特性和总能量变化。为了更好地了解性能,开发了一个模型来检查预应力,杨氏模量和阻尼比对纤维网固有频率和总能量的影响。研究了不同的纤维网材料和配置,例如损坏的纤维网。进行实验以评估理论模型。结果表明,弦中的预应力,杨氏模量和阻尼比会显着影响满幅和受损腹板的固有频率和总能量。还显示出,通过增加径向弦中的预张力,可以补偿损坏的弦并增加受损幅材达到整个幅材的能力。其次,设计一种自适应幅材系统来模拟能量吸收蜘蛛网的能力。据作者所知,这是研究自适应蜘蛛网的首次尝试。建立了有限元模型来研究自适应系统。幅材的径向线中的预紧力由微控制器自动控制。该系统能够控制纸幅的能量吸收能力。结果表明,通过控制径向弦中的预紧力,腹板能够控制振动。

著录项

  • 作者

    Zheng, Lingyue.;

  • 作者单位

    University of Nevada, Reno.;

  • 授予单位 University of Nevada, Reno.;
  • 学科 Mechanical engineering.
  • 学位 M.S.
  • 年度 2015
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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