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Sensors 2018, 18(9), 2953; https://doi.org/10.3390/s18092953

Application of PZT Technology and Clustering Algorithm for Debonding Detection of Steel-UHPC Composite Slabs

1
College of Civil Engineering, Hunan University, Changsha 410006, China
2
Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
3
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
*
Author to whom correspondence should be addressed.
Received: 9 August 2018 / Revised: 2 September 2018 / Accepted: 3 September 2018 / Published: 5 September 2018
(This article belongs to the Section Physical Sensors)
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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. View Full-Text
Keywords: steel-UHPC; composite slab; debonding detection; PZT technology; clustering algorithm steel-UHPC; composite slab; debonding detection; PZT technology; clustering algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Yan, B.; Zou, Q.; Dong, Y.; Shao, X. Application of PZT Technology and Clustering Algorithm for Debonding Detection of Steel-UHPC Composite Slabs. Sensors 2018, 18, 2953.

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