Development of an MEMS ultrasonic microphone array system and its application to compressed wavefield imaging of concrete
DC Field | Value | Language |
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dc.contributor.author | Song, Homin | - |
dc.contributor.author | Park, Jongwoong | - |
dc.contributor.author | Popovics, John S. | - |
dc.date.accessioned | 2022-09-02T16:40:17Z | - |
dc.date.available | 2022-09-02T16:40:17Z | - |
dc.date.created | 2022-09-02 | - |
dc.date.issued | 2020-10 | - |
dc.identifier.issn | 0964-1726 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85378 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IOP PUBLISHING LTD | - |
dc.relation.isPartOf | SMART MATERIALS AND STRUCTURES | - |
dc.title | Development of an MEMS ultrasonic microphone array system and its application to compressed wavefield imaging of concrete | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000568347700001 | - |
dc.identifier.doi | 10.1088/1361-665X/ababe5 | - |
dc.identifier.bibliographicCitation | SMART MATERIALS AND STRUCTURES, v.29, no.10 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85091336622 | - |
dc.citation.title | SMART MATERIALS AND STRUCTURES | - |
dc.citation.volume | 29 | - |
dc.citation.number | 10 | - |
dc.contributor.affiliatedAuthor | Song, Homin | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | air-coupled | - |
dc.subject.keywordAuthor | MEMS microphones | - |
dc.subject.keywordAuthor | rapid wavefield data collection | - |
dc.subject.keywordAuthor | sparse wavefield reconstruction | - |
dc.subject.keywordAuthor | alkali-silica reactivity | - |
dc.subject.keywordAuthor | cracking | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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