Using Radio-Frequency Identification Technology To Measure Asphalt Cooling

dc.contributor.advisorSchwartz, Charles Wen_US
dc.contributor.authorPfeiffer, Grant Howarden_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2010-07-07T05:30:05Z
dc.date.available2010-07-07T05:30:05Z
dc.date.issued2010en_US
dc.description.abstractRealistic prediction of asphalt temperatures as a function of time during paving is essential for optimizing compaction operations. Continued compaction after the asphalt lift has dropped below a critical threshold temperature may result in particle breakage and degradation of the material properties. To address this issue, this study evaluates the feasibility of using Surface Acoustic Wave (SAW) based Radio-Frequency Identification (RFID) technology to measure HMA temperatures via wireless sensors during paving. The survivability and temperature measurement capabilities of the SAW RFID sensors are demonstrated in the field. The measured asphalt cooling curves (temperature versus time) are compared with predictions from previously developed theoretical models for mat cooling. The prediction accuracy of these models is improved via a field calibration procedure using measured temperatures from the SAW RFID sensors. The predictions from the calibrated theoretical model are reasonable and agree well with the measured temperatures in the field.en_US
dc.identifier.urihttp://hdl.handle.net/1903/10506
dc.subject.pqcontrolledEngineering, Civilen_US
dc.subject.pquncontrolledAsphalten_US
dc.subject.pquncontrolledCoolingen_US
dc.subject.pquncontrolledFrequencyen_US
dc.subject.pquncontrolledPavementen_US
dc.subject.pquncontrolledRadioen_US
dc.subject.pquncontrolledTemperatureen_US
dc.titleUsing Radio-Frequency Identification Technology To Measure Asphalt Coolingen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Pfeiffer_umd_0117N_11353.pdf
Size:
1.04 MB
Format:
Adobe Portable Document Format