Campus Units

Civil, Construction and Environmental Engineering, Electrical and Computer Engineering, Center for Nondestructive Evaluation (CNDE)

Document Type

Conference Proceeding

Conference

SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring

Publication Version

Published Version

Publication Date

4-20-2016

Journal or Book Title

Proceedings of SPIE

Volume

9803

Issue

98030R

First Page

98030R-1

Last Page

98030R-16

Research Focus Area

Geotechnical/Materials Engineering, Structural Engineering

DOI

10.1117/12.2219301

Conference Title

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016

Conference Date

March 20-24, 2016

City

Las Vegas, NV

Abstract

The authors have developed a capacitive-based thin film sensor for monitoring strain on mesosurfaces. Arranged in a network configuration, the sensing system is analogous to a biological skin, where local strain can be monitored over a global area. The measurement principle is based on a measurable change in capacitance provoked by strain. In the case of bidirectional in-plane strain, the sensor output contains the additive measurement of both principal strain components. In this paper, we present an algorithm for retrieving unidirectional strain from the bidirectional measurements of the capacitive-based thin film sensor when place in a hybrid dense sensor network with state-of-the-art unidirectional strain sensors. The algorithm leverages the advantages of a hybrid dense network for application of the thin film sensor to reconstruct the surface strain maps. A bidirectional shape function is assumed, and it is differentiated to obtain expressions for planar strain. A least squares estimator (LSE) is used to reconstruct the planar strain map from the networks measurements, after the system’s boundary conditions have been enforced in the model. The coefficients obtained by the LSE can be used to reconstruct the estimated strain map. Results from numerical simulations and experimental investigations show good performance of the algorithm.

Comments

This article is published as Austin Downey, Simon Laflamme, Filippo Ubertini, "Distributed thin film sensor array for damage detection and localization", Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98030R (20 April 2016); doi: 10.1117/12.2219301. Posted with permission.

Copyright Owner

Society of Photo-Optical Instrumentation Engineers (SPIE)

Language

en

File Format

application/pdf

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