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一种受生物启发的自适应蜘蛛网。

A bioinspired adaptive spider web.

作者信息

Zheng L, Behrooz M, Gordaninejad F

机构信息

Department of Mechanical Engineering, Composite and Intelligent Materials Laboratory, University of Nevada, Reno, NV 89557, USA.

出版信息

Bioinspir Biomim. 2017 Jan 17;12(1):016012. doi: 10.1088/1748-3190/12/1/016012.

DOI:10.1088/1748-3190/12/1/016012
PMID:28094244
Abstract

This work presents an adaptive structure inspired by spider webs' behavior. To investigate the dynamic properties and performance of this system, numerical models are developed to examine the effects of pretension in radial strings, and Young's modulus, and damping ratio on the natural frequency and total energy of the system. An experimental study was conducted to validate theoretical results. Stepper motors controlled by a microcontroller are utilized to increase the pretension in the radial strings of the web in order to tune the web's energy absorption ability. It is demonstrated that the pretension, Young's modulus, and damping ratio in the radial strings can significantly affect the natural frequency and total energy of full and damaged webs. It is also shown that increasing the pretension in the radial strings compensates for the loss of stiffness due to the damaged strings. Finally, it is shown that controlling the pretension in radial strings can provide higher energy absorption capability for the spider web.

摘要

这项工作提出了一种受蜘蛛网行为启发的自适应结构。为了研究该系统的动态特性和性能,开发了数值模型来研究径向弦中的预紧力、杨氏模量和阻尼比,对系统固有频率和总能量的影响。进行了一项实验研究以验证理论结果。利用由微控制器控制的步进电机来增加网的径向弦中的预紧力,以便调整网的能量吸收能力。结果表明,径向弦中的预紧力、杨氏模量和阻尼比会显著影响完整和受损网的固有频率和总能量。研究还表明,增加径向弦中的预紧力可弥补受损弦导致的刚度损失。最后,结果表明,控制径向弦中的预紧力可为蜘蛛网提供更高的能量吸收能力。

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A bioinspired adaptive spider web.一种受生物启发的自适应蜘蛛网。
Bioinspir Biomim. 2017 Jan 17;12(1):016012. doi: 10.1088/1748-3190/12/1/016012.
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Molecules. 2022 Dec 16;27(24):8982. doi: 10.3390/molecules27248982.
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Exploring Vibration Transmission Rule of an Artificial Spider Web for Potential Application in Invulnerability of Wireless Sensor Network.探索人工蜘蛛网的振动传播规律及其在无线传感器网络抗毁性中的潜在应用
Appl Bionics Biomech. 2019 May 19;2019:5125034. doi: 10.1155/2019/5125034. eCollection 2019.