Collaborative Research: Self-Powered Sensory Nerve System for Civil Structures Using Hybrid Forisome Actuators

合作研究：使用混合 Forisome 执行器的土木结构自供电感觉神经系统

• 批准号: 0510903
• 负责人: Rahmatallah Shoureshi
• 金额: $ 18万
• 依托单位: University of Denver
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-01 至 2008-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0510903&HistoricalAwards=false
• 关键词: Collaborative; Research; Self; Powered; Sensory

This collaborative research is aimed at utilizing the concept of human's mechanoreceptors as a new approach to the development of structural health monitoring and diagnostic systems that synergistically integrate the recently discovered plant-protein forisomes, a novel non-living biological material capable of sensing and actuation. We a sensory nerve system for civil structures will be developed by using forisomes as the mechanoreceptors, nerve fibers, and spinocervical tract to the nodal and central processing units. The significance of this proposal lies in the tremendous potential of forisome-based sensory information transfer for monitoring and diagnostics of mechanical and civil systems. Results of this research will serve as building blocks for the development of an innovative distributed data processing and transfer system that mimics those of a human body, and will lead to a fundamentally unique self-diagnostic technique for engineered systems. This project will also incorporate research results as well as laboratory experiences into the engineering curriculum at both universities through their senior design courses, as well as through more specialized courses on such topics as: novel materials design and processing, smart systems, nano-materials, and forisomes-based VLSI.

这项合作研究旨在利用人类机械感受器的概念作为开发结构健康监测和诊断系统的新方法，该系统协同整合最近发现的植物蛋白异构体，这是一种能够感知和驱动的新型非生命生物材料。 我们将通过使用体作为机械感受器、神经纤维以及连接节点和中央处理单元的颈椎束来开发用于土木结构的感觉神经系统。 该提案的意义在于基于空间的传感信息传输在机械和民用系统的监测和诊断方面的巨大潜力。这项研究的结果将成为开发模仿人体的创新分布式数据处理和传输系统的基石，并将为工程系统带来一种根本上独特的自诊断技术。该项目还将通过高级设计课程以及有关以下主题的更专业的课程，将研究成果和实验室经验纳入两所大学的工程课程中：新型材料设计和加工、智能系统、纳米材料、以及基于异构体的 VLSI。