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Soft elastomeric capacitor network for strain sensing over large surfaces

  • Simon Laflamme
  • , Hussam S. Saleem
  • , Bharath K. Vasan
  • , Randall L. Geiger
  • , Degang Chen
  • , Michael R. Kessler
  • , Krishna Rajan
  • Iowa State University
  • Washington State University

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

Abstract

Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 με using an inexpensive off-the-shelf data acquisition system. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages.

Original languageEnglish
Article number6628018
Pages (from-to)1647-1654
Number of pages8
JournalIEEE/ASME Transactions on Mechatronics
Volume18
Issue number6
DOIs
StatePublished - Dec 2013

Keywords

  • Condition assessment
  • Distributed strain gages
  • Prognosis
  • Sensor network
  • Soft elastomeric capacitor
  • Structural health monitoring

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