Concrete Delamination Depth Estimation Using a Noncontact MEMS Ultrasonic Sensor Array and an Optimization Approachopen access
- Authors
- Song, Homin; Hong, Jinyoung; Choi, Hajin; Min, 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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