MEMS IN CIVIL ENGINEERING
Jun 13, 2003

Full-Scale Field Evaluation of Microelectromechanical System-Based Biaxial Strain Transducer and Its Application in Fatigue Analysis

Publication: Journal of Aerospace Engineering
Volume 16, Issue 3

Abstract

The objective of this research is to develop a microelectromechanical system (MEMS)-based intelligent hybrid Biaxial Strain Transducer (BiAST) sensor for predicting railroad fatigue life based on strain history. The developed BiAST prototype was deployed to collect real-time strain data from the full-scale test track at the Transportation Technology Center (TTCI), near Pueblo, Colorado. The collected strain data were analyzed using the “Binner” fatigue analysis program for counting the load cycles and estimating the fatigue life of a rail structure. Field-testing results of the BiAST were used to evaluate the BiAST prototype with respect to its repeatability, accuracy, and hybridization. BiAST was effective in detecting the dynamic response of a particular wheel and spurious overload events. BiAST can be used to detect passing wheels, train speed, and track condition.

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Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 16Issue 3July 2003
Pages: 100 - 107

History

Received: Nov 27, 2002
Accepted: Nov 27, 2002
Published online: Jun 13, 2003
Published in print: Jul 2003

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Authors

Affiliations

M. Obadat
PhD Candidate, Public Policy Center, Civil and Environmental Engineering, 4016 Seamans Center, Univ. of Iowa, Iowa City, IA 52242-1527.
Hosin “David” Lee, P.E.
Associate Professor, PhD, Public Policy Center, Civil and Environmental Engineering, 4016 Seamans Center, Univ. of Iowa, Iowa City, IA 52242-1527.
M. Asghar Bhatti, P.E.
Associate Professor, PhD, Civil and Environmental Engineering, Public Policy Center, Univ. of Iowa, 219 South Quadrangle, Iowa City, IA 52242-1192.
Brian Maclean
PhD, Sarcos, Inc., 360 Wakara Way, Salt Lake City, UT 84108.

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