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Proceedings Paper

Validation of a wireless sensor network using local damage detection algorithm for beam-column connections
Author(s): S. Pakzad; S. Dorvash; E. Labuz; M. Chang; X. Li; L. Cheng
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Paper Abstract

There has been a rapid advancement in wireless sensor network (WSN) technology in the past decade and its application in structural monitoring has been the focus of several research projects. The evaluation of the newly developed hardware platform and software system is an important aspect of such research efforts. Although much of this evaluation is done in the laboratories and using generic signal processing techniques, it is important to validate the system for its intended application as well. In this paper the performance of a newly developed accelerometer sensor board is evaluated by using the data from a beam-column connection specimen with a local damage detection algorithm. The sensor board is a part of a wireless node that consists of the Imote2 control/communication unit and an advanced antenna for improved connectivity. A scaled specimen of a steel beam-column connection is constructed in ATLSS center at Lehigh University and densely instrumented by synchronized networked systems of both traditional piezoelectric and wireless sensors. The column ends of the test specimen have fixed connections, and the beam cantilevers from the centerline of the column. The specimen is subjected to harmonic excitations in several test runs and its acceleration response is collected by both systems. The collected data is then used to estimate two sets of system influence coefficients with the wired one as the reference baseline. The performance of the WSN is evaluated by comparing the quality of the influence coefficients and the rate of convergence of the estimated parameters.

Paper Details

Date Published: 31 March 2010
PDF: 11 pages
Proc. SPIE 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010, 764719 (31 March 2010); doi: 10.1117/12.847581
Show Author Affiliations
S. Pakzad, Lehigh Univ. (United States)
S. Dorvash, Lehigh Univ. (United States)
E. Labuz, Lehigh Univ. (United States)
M. Chang, Lehigh Univ. (United States)
X. Li, Lehigh Univ. (United States)
L. Cheng, Lehigh Univ. (United States)

Published in SPIE Proceedings Vol. 7647:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010
Masayoshi Tomizuka, Editor(s)

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