The near surface dielectric characteristics of pavement can indicate the overall health of roadways and bridge decks. By performing simple and fast reflectometry measurements of the near surface, it may be possible to efficiently monitor large amount of critical civil infrastructure, and provide early alerts of the initial stages of damage. We demonstrate the variation with moisture content of surface reflected waves using a commercial-off-the-shelf 24 GHz FMCW radar. Initial experiments show that detectable amounts of water is absorbed in asphalt and concrete. The amount of absorbed water increases with micro- and macro-cracking, and this measurement will correlate with quantifiable changes in the observed return signal.
%0 Conference Paper
%1 Rappaport2010
%A Rappaport, C.
%A Holbrook, D.
%A Adams, C.
%A Busuioc, D.
%A Doughty, J.
%B Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
%D 2010
%K 24 FMCW GHz Health Monitoring;Radar;Reflectometry;Subsurface Sensing building;asphalt;bridge characteristics;pavement;reflectometry civil content;near cracks;quality decks;commercial-off-the-shelf dielectric infrastructure;inexpensive management;radar;reflectometry;road measurement;roadways;surface measurements;road quality radar;concrete;critical radar;macrocracking;microcracking;moisture reflected surface waves;Asphalt;Concrete;Ice;Radar;Reflection;Roads;Sensors;Infrastructure
%P 4318-4321
%R 10.1109/IGARSS.2010.5652960
%T Road surface quality measurement using inexpensive radar
%X The near surface dielectric characteristics of pavement can indicate the overall health of roadways and bridge decks. By performing simple and fast reflectometry measurements of the near surface, it may be possible to efficiently monitor large amount of critical civil infrastructure, and provide early alerts of the initial stages of damage. We demonstrate the variation with moisture content of surface reflected waves using a commercial-off-the-shelf 24 GHz FMCW radar. Initial experiments show that detectable amounts of water is absorbed in asphalt and concrete. The amount of absorbed water increases with micro- and macro-cracking, and this measurement will correlate with quantifiable changes in the observed return signal.
@inproceedings{Rappaport2010,
abstract = {The near surface dielectric characteristics of pavement can indicate the overall health of roadways and bridge decks. By performing simple and fast reflectometry measurements of the near surface, it may be possible to efficiently monitor large amount of critical civil infrastructure, and provide early alerts of the initial stages of damage. We demonstrate the variation with moisture content of surface reflected waves using a commercial-off-the-shelf 24 GHz FMCW radar. Initial experiments show that detectable amounts of water is absorbed in asphalt and concrete. The amount of absorbed water increases with micro- and macro-cracking, and this measurement will correlate with quantifiable changes in the observed return signal.},
added-at = {2015-05-19T04:26:01.000+0200},
author = {Rappaport, C. and Holbrook, D. and Adams, C. and Busuioc, D. and Doughty, J.},
biburl = {https://www.bibsonomy.org/bibtex/214a0daad21ccf60b282b42f7a7b7aa10/starlinq},
booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International},
doi = {10.1109/IGARSS.2010.5652960},
interhash = {6f15a79b35467a87be907e80f11a9ace},
intrahash = {14a0daad21ccf60b282b42f7a7b7aa10},
issn = {2153-6996},
keywords = {24 FMCW GHz Health Monitoring;Radar;Reflectometry;Subsurface Sensing building;asphalt;bridge characteristics;pavement;reflectometry civil content;near cracks;quality decks;commercial-off-the-shelf dielectric infrastructure;inexpensive management;radar;reflectometry;road measurement;roadways;surface measurements;road quality radar;concrete;critical radar;macrocracking;microcracking;moisture reflected surface waves;Asphalt;Concrete;Ice;Radar;Reflection;Roads;Sensors;Infrastructure},
month = {July},
owner = {Vladimir},
pages = {4318-4321},
timestamp = {2015-05-19T04:27:27.000+0200},
title = {Road surface quality measurement using inexpensive radar},
year = 2010
}