Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108179
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorSui, X-
dc.creatorLeng, Z-
dc.creatorWang, S-
dc.creatorZhang, S-
dc.date.accessioned2024-07-26T01:40:24Z-
dc.date.available2024-07-26T01:40:24Z-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10397/108179-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.subjectAntenna height correctionen_US
dc.subjectAsphalt pavementen_US
dc.subjectGround penetrating radaren_US
dc.subjectMulti-asphalt layer thickness determinationen_US
dc.subjectVibration effecten_US
dc.titleRemoval of the GPR antenna vibration effect through height shifting correction for enhanced multi-layer asphalt pavement thickness determinationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume161-
dc.identifier.doi10.1016/j.autcon.2024.105335-
dcterms.abstractGround-penetrating radar (GPR) can be used for thickness determination of asphalt pavement in a non-destructive manner. However, the accuracy of the existing methods may be affected by the vibrations of GPR antenna caused by tire-pavement interaction. This study proposes using antenna height shifting correction to counteract the effects of vibration. Numerical simulations were performed to illustrate the relationship between antenna height and the reflection amplitude of GPR signal peaks of asphalt layers. A third-order polynomial correlation between antenna height and reflection amplitudes was revealed. A height correction surface reflection (HC-SR) method was developed for multi-asphalt layer thickness prediction, whose performance was validated through field GPR tests and lab measurement of field cores. Results showed that the proposed HC-SR method increased the thickness prediction accuracy by 13.3%, 19.9%, and 17.4% for the first, second, and entire asphalt layer, respectively, compared with the traditional surface reflection (SR) method.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationAutomation in construction, May 2024, v. 161, 105335-
dcterms.isPartOfAutomation in construction-
dcterms.issued2024-05-
dc.identifier.scopus2-s2.0-85186267891-
dc.identifier.eissn1872-7891-
dc.identifier.artn105335-
dc.description.validate202407 bcch-
dc.identifier.FolderNumbera3090cen_US
dc.identifier.SubFormID49538en_US
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-05-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-05-31
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