Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79994
Title: Application of PZT technology and clustering algorithm for debonding detection of steel-UHPC composite slabs
Authors: Yan, B
Zou, Q
Dong Y 
Shao, X
Keywords: Clustering algorithm
Composite slab
Debonding detection
PZT technology
Steel-UHPC
Issue Date: 2018
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Sensors (Switzerland), 2018, v. 18, no. 9, 2953, p. 1-18 How to cite?
Journal: Sensors (Switzerland) 
Abstract: A lightweight composite bridge deck system composed of steel orthotropic deck stiffened with thin Ultra-High Performance Concrete (UHPC) layer has been proposed to eliminate fatigue cracks in orthotropic steel decks. The debonding between steel deck and UHPC layer may be introduced during construction and operation phases, which could cause adverse consequences, such as crack-induced water invasion and distinct reduction of the shear resistance. The piezoelectric lead zirconate titanate (PZT)-based technologies are used to detect interfacial debonding defects between the steel deck and the UHPC layer. Both impedance analysis and wave propagation method are employed to extract debonding features of the steel-UHPC composite slab with debonding defect in different sizes and thicknesses. Experimental tests are performed on two steel-UHPC composite slabs and a conventional steel-concrete composite deck. Additionally, an improved Particle Swarm Optimization (PSO)-k-means clustering algorithm is adopted to obtain debonding patterns based on the feature data set. The laboratory tests demonstrate that the proposed approach provides an effective way to detect interfacial debonding of steel-UHPC composite deck.
URI: http://hdl.handle.net/10397/79994
ISSN: 1424-8220
DOI: 10.3390/s18092953
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Yan, B., Zou, Q., Dong, Y., & Shao, X. (2018). Application of PZT technology and clustering algorithm for debonding detection of steel-UHPC composite slabs. Sensors (Switzerland), 18(9), 2953, 1-18 is available at https://dx.doi.org/10.3390/s18092953
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