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Concrete Delamination Depth Estimation Using a Noncontact MEMS Ultrasonic Sensor Array and an Optimization Approachopen access

Authors
Song, HominHong, JinyoungChoi, HajinMin, Jiyoung
Issue Date
Jan-2021
Publisher
MDPI
Keywords
concrete delamination; noncontact ultrasound; Rayleigh waves; Lamb waves; MEMS microphones; optimization
Citation
APPLIED SCIENCES-BASEL, v.11, no.2, pp.1 - 13
Journal Title
APPLIED SCIENCES-BASEL
Volume
11
Number
2
Start Page
1
End Page
13
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84721
DOI
10.3390/app11020592
ISSN
2076-3417
Abstract
In this study, we present a method to estimate the depth of near-surface shallow delamination in concrete using a noncontact micro-electromechanical system (MEMS) ultrasonic sensor array and an optimization-based data processing approach. The proposed approach updates the bulk wave velocities of the tested concrete element by solving an optimization problem using reference ultrasonic scanning data collected from a full-depth concrete region. Subsequently, the depth of concrete delamination is estimated by solving a separate optimization problem. Numerical simulations and laboratory experiments were conducted to evaluate the performance of the proposed ultrasonic data processing approach. The results demonstrated that the depth of shallow delamination in concrete structures could be accurately estimated.
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Engineering (Department of Civil & Environmental Engineering)
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