Home // ICDT 2017, The Twelfth International Conference on Digital Telecommunications // View article

Using Smart Sensors to Monitor Concrete Infrastructure Assets for Useful Life Prediction Modelling

Authors:
Peter Schemmel
John Schemmel
Evan Humphries

Keywords: concrete; infrastructure; life prediction; sensor

Abstract:
Cities operating smart infrastructure systems will soon be ubiquitous. Transportation, health, education, water treatment, water resource, storm water management, and waste management systems will all be monitored and controlled remotely by computer programs and asset managers. Researchers continue to make advances in sensor technology, power supplies, communication networks, data storage, and data interpretation methodologies. First generation monitoring systems are currently being deployed and evaluated. However, use of these monitoring systems to develop predictive models for approximating the remaining useful life of an asset is not receiving the same level of attention. This paper will outline a method for using sensor systems to develop empirical lifetime prediction models for concrete structures. Two monitoring systems capable of accomplishing this goal, one well-established and the other in its infancy, are examined. Developing such a tool will provide asset managers with increased warning of impending structural issues such that more efficient and effective repairs can be implemented.

Pages: 29 to 32

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-544-9

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017