The Use of Wavelet Analysis to Improve the Accuracy of Pavement Layer Thickness Estimation Based on Amplitudes of Electromagnetic Waves
The article discusses one of the methods of dielectric constant determination in a continuous way, which is the determination of its value based on the amplitude of the wave reflected from the surface. Based on tests performed on model asphalt slabs, it was presented how the value of the dielectric...
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description | The article discusses one of the methods of dielectric constant determination in a continuous way, which is the determination of its value based on the amplitude of the wave reflected from the surface. Based on tests performed on model asphalt slabs, it was presented how the value of the dielectric constant changes depending on the atmospheric conditions of the measured surface (dry, covered with water film, covered with ice, covered with snow, covered with de-icing salt). Coefficients correcting dielectric constants of hot mix asphalt (HMA) determined in various surface atmospheric conditions were introduced. It was proposed to determine the atmospheric conditions of the pavement with the use of wavelet analysis in order to choose the proper dielectric constant correction coefficient and therefore improve the accuracy of the pavement layer thickness estimation based on the ground penetrating radar (GPR) method. |
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Based on tests performed on model asphalt slabs, it was presented how the value of the dielectric constant changes depending on the atmospheric conditions of the measured surface (dry, covered with water film, covered with ice, covered with snow, covered with de-icing salt). Coefficients correcting dielectric constants of hot mix asphalt (HMA) determined in various surface atmospheric conditions were introduced. It was proposed to determine the atmospheric conditions of the pavement with the use of wavelet analysis in order to choose the proper dielectric constant correction coefficient and therefore improve the accuracy of the pavement layer thickness estimation based on the ground penetrating radar (GPR) method.</description><identifier>ISSN: 1996-1944</identifier><identifier>EISSN: 1996-1944</identifier><identifier>DOI: 10.3390/ma13143214</identifier><identifier>PMID: 32707659</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Amplitudes ; Asphalt ; Asphalt pavements ; Deicing salt ; Drilling ; Electromagnetic radiation ; Ground penetrating radar ; Ice cover ; Pavements ; Permittivity ; Roads & highways ; Thickness ; Water film ; Wavelet analysis ; Wavelet transforms</subject><ispartof>Materials, 2020-07, Vol.13 (14), p.3214</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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Based on tests performed on model asphalt slabs, it was presented how the value of the dielectric constant changes depending on the atmospheric conditions of the measured surface (dry, covered with water film, covered with ice, covered with snow, covered with de-icing salt). Coefficients correcting dielectric constants of hot mix asphalt (HMA) determined in various surface atmospheric conditions were introduced. It was proposed to determine the atmospheric conditions of the pavement with the use of wavelet analysis in order to choose the proper dielectric constant correction coefficient and therefore improve the accuracy of the pavement layer thickness estimation based on the ground penetrating radar (GPR) method.</description><subject>Amplitudes</subject><subject>Asphalt</subject><subject>Asphalt pavements</subject><subject>Deicing salt</subject><subject>Drilling</subject><subject>Electromagnetic radiation</subject><subject>Ground penetrating radar</subject><subject>Ice cover</subject><subject>Pavements</subject><subject>Permittivity</subject><subject>Roads & highways</subject><subject>Thickness</subject><subject>Water film</subject><subject>Wavelet analysis</subject><subject>Wavelet transforms</subject><issn>1996-1944</issn><issn>1996-1944</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc9qGzEQxkVpaIKbS55A0EspuJFW2l3pUnCD2wYMzcEhRzHWjmKluytX0hr8BH3tyEnov7lohH7zaWY-Qi44-yiEZpcDcMGlqLh8Rc641s2caylf_5WfkvOUHlgJIbiq9BtyKqqWtU2tz8iv9RbpbUIaHL2DPfaY6WKE_pB8ojnQ62EXwx5pLtjC2imCPRzZm8IOOGa6ggNGut56-2PElOgyZT9A9mGknyFhR0uyGHa9z1OH6Vi67NHmGAa4HzF7-_RtektOHPQJz1_OGbn9slxffZuvvn-9vlqs5lZwkectE5wxKTpQTjtW29oqyRRqWyaFDjut1QbEhgG0ylViU0tXbh1w5WTnrJiRT8-6u2kzYGfLCBF6s4ul6XgwAbz592X0W3Mf9qaVnDdl0TPy_kUghp8TpmwGnyz2PYwYpmQqWbWVbpRWBX33H_oQpliW-0Q1bTGubgr14ZmyMaQU0f1uhjNztNj8sVg8AldTmUk</recordid><startdate>20200719</startdate><enddate>20200719</enddate><creator>Wutke, Małgorzata</creator><creator>Lejzerowicz, Anna</creator><creator>Garbacz, Andrzej</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5229-7884</orcidid><orcidid>https://orcid.org/0000-0002-1350-0632</orcidid></search><sort><creationdate>20200719</creationdate><title>The Use of Wavelet Analysis to Improve the Accuracy of Pavement Layer Thickness Estimation Based on Amplitudes of Electromagnetic Waves</title><author>Wutke, Małgorzata ; 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subjects | Amplitudes Asphalt Asphalt pavements Deicing salt Drilling Electromagnetic radiation Ground penetrating radar Ice cover Pavements Permittivity Roads & highways Thickness Water film Wavelet analysis Wavelet transforms |
title | The Use of Wavelet Analysis to Improve the Accuracy of Pavement Layer Thickness Estimation Based on Amplitudes of Electromagnetic Waves |
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