Self-powered sensory nerve system for civil structures using hybrid forisome actuators

Rahmat A. Shoureshi, Amy Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In order to provide a true distributed sensor and control system for civil structures, we have developed a Structural Nervous System that mimics key attributes of a human nervous system. This nervous system is made up of building blocks that are designed based on mechanoreceptors as a fundamentally new approach for the development of a structural health monitoring and diagnostic system that utilizes the recently discovered plant-protein forisomes, a novel non-living biological material capable of sensing and actuation. In particular, our research has been focused on producing a sensory nervous system for civil structures by using forisomes as the mechanoreceptors, nerve fibers, neuronal pools, and spinocervical tract to the nodal and central processing units. This paper will present up to date results of our research, including the design and analysis of the structural nervous system.

Original languageEnglish (US)
Title of host publicationSmart Structures and Materials 2006 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
DOIs
StatePublished - 2006
EventSmart Structures and Materials 2006 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems - San Diego, CA, United States
Duration: Feb 27 2006Mar 2 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6174 II
ISSN (Print)0277-786X

Other

OtherSmart Structures and Materials 2006 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
CountryUnited States
CitySan Diego, CA
Period2/27/063/2/06

Keywords

  • Forisomes
  • Self-Powered Monitoring System
  • Structural Nervous System

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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