Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109516
DC Field | Value | Language |
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dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.contributor | Research Institute for Land and Space | - |
dc.creator | Qu, X | - |
dc.creator | Ding, X | - |
dc.creator | Yu, W | - |
dc.creator | Li, X | - |
dc.creator | Xu, YL | - |
dc.date.accessioned | 2024-11-06T02:20:06Z | - |
dc.date.available | 2024-11-06T02:20:06Z | - |
dc.identifier.issn | 1080-5370 | - |
dc.identifier.uri | http://hdl.handle.net/10397/109516 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © The Author(s) 2024 | en_US |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
dc.rights | The following publication Qu, X., Ding, X., Yu, W. et al. High-rate bridge displacement monitoring with low-rate virtual reference station data. GPS Solut 29, 8 (2025) is available at https://doi.org/10.1007/s10291-024-01766-9. | en_US |
dc.subject | Asynchronous RTK | en_US |
dc.subject | Bridge monitoring | en_US |
dc.subject | Dynamic response | en_US |
dc.subject | High-rate GNSS | en_US |
dc.subject | Virtual reference station | en_US |
dc.title | High-rate bridge displacement monitoring with low-rate virtual reference station data | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 29 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.1007/s10291-024-01766-9 | - |
dcterms.abstract | We present a new Global Navigation Satellite Systems (GNSS) positioning approach that utilizes low-rate Virtual Reference Station (VRS) data to achieve high-rate displacement monitoring. The method integrates tightly the VRS technology with asynchronous Real-Time Kinematic (RTK) method to overcome the limitation of VRS in high-rate structural health monitoring (SHM) applications. When this approach is used, no local reference station is required so that the efforts and cost of setting up reference stations can be avoided. Experiments with datasets from a controlled shaking platform and a long-span bridge in Hong Kong with both temperature and typhoon excitations have indicated that the proposed approach worked effectively. The results demonstrated that when a baseline exceeded about 3 km, the vertical errors of RTK GNSS positioning could be up to about 15.9 mm (standard deviations), insufficient for most SHM applications. In this case, the proposed method enhanced the accuracy by about 60% to 6.0 mm when using VRS data openly available in Hong Kong. The accuracy achieved was equivalent to that of RTK positioning using a 1.2 km baseline. The shaking platform trial demonstrated that the monitoring station could be up-sampled to 100 Hz without a noticeable loss in accuracy. The proposed method could capture precisely the peak frequencies and amplitudes of vibrations, with errors as low as 0.001 Hz and 0.1 mm. This method broadens the applicability of GNSS positioning in SHM applications. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | GPS solutions, Jan. 2025, v. 29, no. 1, 8 | - |
dcterms.isPartOf | GPS solutions | - |
dcterms.issued | 2025-01 | - |
dc.identifier.scopus | 2-s2.0-85207092886 | - |
dc.identifier.eissn | 1521-1886 | - |
dc.identifier.artn | 8 | - |
dc.description.validate | 202411 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_TA | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.TA | Springer Nature (2024) | en_US |
dc.description.oaCategory | TA | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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s10291-024-01766-9.pdf | 9.84 MB | Adobe PDF | View/Open |
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