Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Evaluation of Automated Pavement Thickness Profiling Using Radar
Accurate knowledge of pavement layer thicknesses is important in many aspects of pavement management. Often the information is unknown, and records are inaccurate, out of date, or difficult to access. To date, the only method for obtaining pavement layer data has been core sampling. That is time consuming, labor intensive, intrusive to traffic, and limited in coverage. The study investigated the capability of ground penetrating radar to provide accurate subsurface pavement profile information. Eleven sites were selected to represent the population of pavement types present in Kansas, with a particular emphasis on variations in base type and road history. The radar results show substantial variations in pavement thickness within each 1000 foot test section, and, in general, higher values of pavement thickness than were reported in available records. These predictions, when correlated with data from 73 ground truth cores, show an accuracy of +/5% to 10%, depending upon the treatment of the data. The asphalt thicknesses encountered in the study ranged from 2.5 to 20 inches. The radar data was analyzed automatically using software which operated directly on the raw radar waveforms. The software is based on an electromagnetic model of the pavement layer structure. The resulting preditions were correlated with core samples obtained in cooperation with the Kansas Department of Transportation.
Evaluation of Automated Pavement Thickness Profiling Using Radar
Accurate knowledge of pavement layer thicknesses is important in many aspects of pavement management. Often the information is unknown, and records are inaccurate, out of date, or difficult to access. To date, the only method for obtaining pavement layer data has been core sampling. That is time consuming, labor intensive, intrusive to traffic, and limited in coverage. The study investigated the capability of ground penetrating radar to provide accurate subsurface pavement profile information. Eleven sites were selected to represent the population of pavement types present in Kansas, with a particular emphasis on variations in base type and road history. The radar results show substantial variations in pavement thickness within each 1000 foot test section, and, in general, higher values of pavement thickness than were reported in available records. These predictions, when correlated with data from 73 ground truth cores, show an accuracy of +/5% to 10%, depending upon the treatment of the data. The asphalt thicknesses encountered in the study ranged from 2.5 to 20 inches. The radar data was analyzed automatically using software which operated directly on the raw radar waveforms. The software is based on an electromagnetic model of the pavement layer structure. The resulting preditions were correlated with core samples obtained in cooperation with the Kansas Department of Transportation.
Evaluation of Automated Pavement Thickness Profiling Using Radar
W. M. K. Roddis (Autor:in) / K. Maser (Autor:in) / B. Attoh-Okine (Autor:in)
1992
56 pages
Report
Keine Angabe
Englisch
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