Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109516
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Land and Space-
dc.creatorQu, X-
dc.creatorDing, X-
dc.creatorYu, W-
dc.creatorLi, X-
dc.creatorXu, YL-
dc.date.accessioned2024-11-06T02:20:06Z-
dc.date.available2024-11-06T02:20:06Z-
dc.identifier.issn1080-5370-
dc.identifier.urihttp://hdl.handle.net/10397/109516-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s) 2024en_US
dc.rightsThis 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.rightsThe 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.subjectAsynchronous RTKen_US
dc.subjectBridge monitoringen_US
dc.subjectDynamic responseen_US
dc.subjectHigh-rate GNSSen_US
dc.subjectVirtual reference stationen_US
dc.titleHigh-rate bridge displacement monitoring with low-rate virtual reference station dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume29-
dc.identifier.issue1-
dc.identifier.doi10.1007/s10291-024-01766-9-
dcterms.abstractWe 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.accessRightsopen accessen_US
dcterms.bibliographicCitationGPS solutions, Jan. 2025, v. 29, no. 1, 8-
dcterms.isPartOfGPS solutions-
dcterms.issued2025-01-
dc.identifier.scopus2-s2.0-85207092886-
dc.identifier.eissn1521-1886-
dc.identifier.artn8-
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.TASpringer Nature (2024)en_US
dc.description.oaCategoryTAen_US
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