DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ma, Zhanxiong | ko |
dc.contributor.author | Choi, Jaemook | ko |
dc.contributor.author | Sohn, Hoon | ko |
dc.date.accessioned | 2023-06-27T02:00:25Z | - |
dc.date.available | 2023-06-27T02:00:25Z | - |
dc.date.created | 2023-06-26 | - |
dc.date.issued | 2023-08 | - |
dc.identifier.citation | MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v.197 | - |
dc.identifier.issn | 0888-3270 | - |
dc.identifier.uri | http://hdl.handle.net/10203/310044 | - |
dc.description.abstract | Monitoring of bridge displacement is essential for providing critical information regarding the health of bridge structures. However, continuous and accurate monitoring of structural displacement remains challenging. This study proposes a bridge displacement estimation tech-nique that combines an accelerometer, a strain gauge, and a millimeter-wave radar considering intermittent radar target occlusion common in long-term displacement monitoring. The technique primarily estimates displacement using radar and accelerometer measurements but switches to using strain and acceleration measurements when radar targets are occluded. A radar target occlusion detection algorithm is developed to automatically achieve this switching. Automated initial calibration is performed to select suitable targets from all radar-detected targets and es-timate the conversion factor for converting radar-based displacement from the line-of-sight di-rection to the actual movement direction. An artificial neural network model is automatically trained for strain-displacement transformation without the need for any pre-knowledge of a target structure. The proposed technique was validated via a laboratory test on a 10-m-long beam -type structure and a field test on a pedestrian steel box-girder bridge. The proposed technique correctly detected the intermittent radar target occlusion, and continuously estimated displace-ments for up to 75 min. The intermittent radar target occlusion leads to errors of a few millimeters in the displacements estimated using radar and accelerometers. However, the proposed method accurately estimates displacements with errors of less than 0.1 mm. | - |
dc.language | English | - |
dc.publisher | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD | - |
dc.title | Continuous bridge displacement estimation using millimeter-wave radar, strain gauge and accelerometer | - |
dc.type | Article | - |
dc.identifier.wosid | 001004365500001 | - |
dc.identifier.scopusid | 2-s2.0-85154609395 | - |
dc.type.rims | ART | - |
dc.citation.volume | 197 | - |
dc.citation.publicationname | MECHANICAL SYSTEMS AND SIGNAL PROCESSING | - |
dc.identifier.doi | 10.1016/j.ymssp.2023.110408 | - |
dc.contributor.localauthor | Sohn, Hoon | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Continues bridge displacement estimation | - |
dc.subject.keywordAuthor | Accelerometer | - |
dc.subject.keywordAuthor | Millimeter -wave radar | - |
dc.subject.keywordAuthor | Strain gauge | - |
dc.subject.keywordAuthor | Target occlusion | - |
dc.subject.keywordAuthor | Environmental variation | - |
dc.subject.keywordPlus | LOW-COST | - |
dc.subject.keywordPlus | SENSORS | - |
dc.subject.keywordPlus | LDV | - |
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