Electrorheological Material Based Smart Structures

Abstract

The present report contains the results of a three study conducted at Lehigh University into electrorheological (ER) material based smart structures. The program completed at Lehigh involved closely related and fully coupled investigations into ER smart structures testing and modeling, fiber-optic based in-situ structural vibration monitoring, and real-time neural network based vibration control. In order to facilitate the basic science advancements realized, five structural beam-like and platelike configurations were focused on throughout the project. For each of these configurations, a structural vibration model was developed and tested with corresponding experimentation. Novel fiber-optic sensors and neural network controllers were also developed, and in several cases these were implemented into ER based smart structure experiments to yield physical demonstrations of fully smart or adaptive structures. It was concluded that the concept of ER smart structures for Army applications remains promising and that the models developed can now be used to evaluate that promise. The development of improved and stronger ER materials in the future, however, is likely to required for many proposed applications of the technology.

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Document Details

Document Type
Technical Report
Publication Date
Nov 10, 2000
Accession Number
ADA384290

Entities

People

  • Arkady S. Voloshin
  • John P. Coulter
  • Laura I. Burke

Organizations

  • Lehigh University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Composite Materials
  • Computing System Architectures
  • Demonstrations
  • Electric Fields
  • Engineering
  • Engineers
  • Fibers
  • Frequency
  • Materials
  • Mechanical Engineering
  • Mechanics
  • Monitoring
  • Neural Networks
  • New York
  • Optical Fibers
  • Two Dimensional
  • Vibration

Readers

  • Robotics and Automation.
  • Structural Dynamics.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems