Development of an MEMS ultrasonic microphone array system and its application to compressed wavefield imaging of concrete
- Authors
- Song, Homin; Park, Jongwoong; Popovics, John S.
- Issue Date
- Oct-2020
- Publisher
- IOP PUBLISHING LTD
- Keywords
- air-coupled; MEMS microphones; rapid wavefield data collection; sparse wavefield reconstruction; alkali-silica reactivity; cracking
- Citation
- SMART MATERIALS AND STRUCTURES, v.29, no.10
- Journal Title
- SMART MATERIALS AND STRUCTURES
- Volume
- 29
- Number
- 10
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85378
- DOI
- 10.1088/1361-665X/ababe5
- ISSN
- 0964-1726
- Abstract
- Although contactless ultrasonic wavefield imaging shows potential for effective nondestructive inspection of various engineering materials, it has been rarely applied to concrete materials owing to technical challenges including low signal-to-noise ratio (SNR) caused by inherent heterogeneity of concrete. This paper presents development of a multi-channel MEMS ultrasonic microphone array system and its application to compressed wavefield imaging of concrete materials. The developed multi-channel MEMS ultrasonic microphone array system contains eight MEMS ultrasonic microphone elements and a signal conditioning circuit that enables measurements of ultrasonic signals with high SNR. A compressed sensing approach, based on the multiple measurement vector (MMV) concept, is applied to reconstruct a full dense ultrasonic wavefield data from sparsely sampled ultrasonic wavefield data. Experiments are carried out on a laboratory concrete sample to verify the performance of the developed MEMS microphone array system and proposed compressed sensing approach and then large-scale concrete samples to demonstrate practical application. The experimental results demonstrate that the developed MEMS microphone array system provides high-quality (SNR > 20 dB) ultrasonic data collected from concrete elements; furthermore, the proposed compressed sensing approach provides accurate reconstruction of dense wavefield data, as determined by peak signal-to-noise ratio (PSNR), from sparsely measured wavefield data with compression ratios up to 85% and PSNR above 25 dB in data collected form realistic large-scale concrete samples. By combining the MEMS array system and compressed sensing approach, the total ultrasonic data acquisition time needed to produce dense wavefield data can be significantly reduced.
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Collections - 공과대학 > 토목환경공학과 > 1. Journal Articles
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