preprints_ui: mer43_v1
Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework
| id | title | description | date_created | date_modified | date_published | original_publication_date | publication_doi | provider | is_published | reviews_state | version | is_latest_version | preprint_doi | license | tags_list | tags_data | contributors_list | contributors_data | first_author | subjects_list | subjects_data | download_url | has_coi | conflict_of_interest_statement | has_data_links | has_prereg_links | prereg_links | prereg_link_info | last_updated |
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| mer43_v1 | Road Deformation Monitoring and Event Detection using Asphalt-embedded Distributed Acoustic Sensing (DAS) | Distributed acoustic sensing (DAS) is a new technology that is being adopted widely in the geophysics and earth science communities to measure seismic signals propagating over 10’s of kilometers using an optical fiber. DAS uses the technique of phase-coherent optical time domain reflectometry (φ-OTDR) to measure dynamic strain in an optical fiber as small as nε by examining interferences in scattered light. This technology is opening a new field of research of examining very small strains in infrastructure that can be indicative of performance and use level. In this study, a fiber optic strain sensing cable was embedded into an asphalt concrete test road and spatially distributed dynamic road strain was measured during different types of loading. It is demonstrated that φ-OTDR can be used to quantitatively measure strain in roads associated with events as small as a dog walking on the surface. Optical frequency domain reflectometry (OFDR), a widely implemented but less accurate distributed fiber optic strain monitoring technology, is used along with traditional pavement strain gauges and 3D finite element modeling to validate the φ-OTDR pavement strain measurements. After validation, φ-OTDR strain measurements from various events are presented including a vehicle, pedestrian, runner, cyclist and finally a dog moving along the road. This study serves to demonstrate the deployment of φ-OTDR to monitor roadway systems. | 2022-01-16T22:30:28.478808 | 2022-03-01T18:52:19.323073 | 2022-01-17T15:42:02.365961 | engrxiv | 0 | withdrawn | 1 | 1 | https://doi.org/10.31224/osf.io/mer43 | No license | Distributed Acoustic Sensing; Distributed Fiber Optic Sensing; Instrumentation; Pavement; Smart Infrastructure | ["Distributed Acoustic Sensing", "Distributed Fiber Optic Sensing", "Instrumentation", "Pavement", "Smart Infrastructure"] | Peter George Hubbard; Ruonan Ou; Tianchen Xu; Linqing Luo; Hayato Nonaka; Martin Karrenbach; Kenichi Soga | [{"id": "zra7c", "name": "Peter George Hubbard", "index": 0, "orcid": "0000-0003-3537-8225", "bibliographic": true}, {"id": "upqxb", "name": "Ruonan Ou", "index": 1, "orcid": null, "bibliographic": true}, {"id": "aq475", "name": "Tianchen Xu", "index": 2, "orcid": null, "bibliographic": true}, {"id": "zm2g4", "name": "Linqing Luo", "index": 3, "orcid": null, "bibliographic": true}, {"id": "yq4ch", "name": "Hayato Nonaka", "index": 4, "orcid": "0000-0002-2061-2528", "bibliographic": true}, {"id": "w4pj5", "name": "Martin Karrenbach", "index": 5, "orcid": null, "bibliographic": true}, {"id": "dk4up", "name": "Kenichi Soga", "index": 6, "orcid": null, "bibliographic": true}] | Peter George Hubbard | Engineering; Mechanical Engineering; Acoustics, Dynamics, and Controls; Operations Research, Systems Engineering and Industrial Engineering; Engineering Science and Materials; Materials Science and Engineering; Electrical and Computer Engineering; Signal Processing; Civil and Environmental Engineering; Transportation Engineering; Geotechnical Engineering; Civil Engineering | [{"id": "5994df7a54be8100732d43ae", "text": "Engineering"}, {"id": "5994df7a54be8100732d43af", "text": "Mechanical Engineering"}, {"id": "5994df7a54be8100732d43b1", "text": "Acoustics, Dynamics, and Controls"}, {"id": "5994df7a54be8100732d43c3", "text": "Operations Research, Systems Engineering and Industrial Engineering"}, {"id": "5994df7a54be8100732d43ca", "text": "Engineering Science and Materials"}, {"id": "5994df7a54be8100732d43d2", "text": "Materials Science and Engineering"}, {"id": "5994df7a54be8100732d43db", "text": "Electrical and Computer Engineering"}, {"id": "5994df7b54be8100732d43e5", "text": "Signal Processing"}, {"id": "5994df7b54be8100732d43e9", "text": "Civil and Environmental Engineering"}, {"id": "5994df7b54be8100732d43ea", "text": "Transportation Engineering"}, {"id": "5994df7b54be8100732d43ec", "text": "Geotechnical Engineering"}, {"id": "5994df7b54be8100732d43f1", "text": "Civil Engineering"}] | 0 | no | no | [] | 2025-04-09T20:04:03.068288 |