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Design of a biomimetic-based monitoring and diagnostic system for civil structures

机译:基于仿生的民用建筑监测诊断系统设计

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Recent high intensity natural events such as hurricanes, tsunamis, and earthquakes have introduced new challenges for the design, maintenance, and sustainability of civil structures. Globally, civil infrastructures are deteriorating at an alarming rate caused by overuse, overloading, aging, damage or failure due to natural or man-made hazards. With such a vast network of deteriorating infrastructure, there is a growing interest in continuous monitoring technologies. In order to provide an information data transfer mechanism that integrates output of an embedded, distributed sensory network and the control system in civil structures, this paper describes design and development of a Structural Nervous System that mimics key attributes of the human nervous system. This biomimetic-based innovative idea for the design of a self-powered structural monitoring and diagnostic system utilises a novel, non-living plant protein (forisome) for sensing and information transfer. The overall nervous system design and preliminary experimental data on forisomes are presented in this paper.
机译:最近发生的高强度自然事件,如飓风,海啸和地震,给土木结构的设计,维护和可持续性带来了新的挑战。在全球范围内,由于过度使用,过载,老化,自然或人为危害造成的损坏或破坏,导致民用基础设施的恶化速度惊人。随着基础设施如此庞大的不断恶化的网络,对连续监控技术的兴趣日益浓厚。为了提供一种信息数据传输机制,该机制将嵌入式分布式感官网络的输出与民用结构中的控制系统集成在一起,本文描述了模仿人类神经系统关键属性的结构神经系统的设计和开发。这种基于仿生的创新思想,用于设计自供电的结构监测和诊断系统,它利用一种新颖的,无生命的植物蛋白(多孔体)进行传感和信息传递。本文介绍了总体神经系统设计和有关形态的初步实验数据。

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