A magnetic sensing approach to characterize corrosion in reinforced concrete

John S. Popovics, Gonzalo E. Gallo, Melanie Shelton, Patrick L. Chapman

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

Abstract

The corrosion of steel reinforcing bars in concrete is a significant problem for the US infrastructure, and the need for effective corrosion sensing in structures clearly exists. This paper reviews recent developments in corrosion sensing. First the bases and applications of several different types of embedded corrosion sensors are discussed. We then present a new basis for corrosion sensing based on magnetic field measurement. Magnetic field measurement allows both the extent and rate of corrosion to be measured using active and passive sensing configurations respectively. These two sensing configurations are briefly described. Both active and passive approaches can be applied without excavation of the concrete, so either remote sensing at a surface or internal sensing with an embedded unit are possible. The feasibility of using recently-developed high sensitivity miniature GMR (Giant Magneto-Resistive) sensors in the magnetic sensing configuration is investigated. Initial tests with GMR sensors passive show promise for the passive sensing configuration.

Original languageEnglish (US)
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007
DOIs
StatePublished - 2007
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007 - San Diego, CA, United States
Duration: Mar 19 2007Mar 22 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6529 PART 1
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007
Country/TerritoryUnited States
CitySan Diego, CA
Period3/19/073/22/07

Keywords

  • Concrete corrosion
  • GMR
  • Magnetic sensing

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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