| Title | Intelligent Asphalt Compaction Analyzer |
|---|---|
| Record ID | 68032 |
| Personal Name Creator |
Commuri, Sesh |
| Personal Name Contributor |
Zirlin, Julie; Lemon, Bob |
| Corporate Creator | United States. Federal Highway Administration. Office of Acquisition Management |
| Corporate Contributor |
Haskell Lemon Construction Company |
| Publisher | United States. Federal Highway Administration. Office of Acquisition Management |
| Publication Date | 20111201 |
| Language | English |
| Abstract | This report describes the evaluation of the Intelligent Asphalt Compaction Analyzer (IACA) during the compaction of asphalt pavements. The IACA consists of sensors to measure the location and vibrations of the roller, an infrared sensor to monitor the mat temperature, and a display to provide the roller operator the estimated pavement density in real-time. The IACA also has built-in features to display vital compaction information like coverage and as-built density for the operator to monitor the progress during compaction. During the report period (2008-2010), independent contractors evaluated the IACA during the construction of both full-depth and overlays of asphalt pavements. A test protocol was developed to determine the short term, as well as the long term performance of the IACA. The evaluation was carried out by seven (7) participating contractors during the construction/remediation of the asphalt pavements across the United States. Roadway cores were extracted at randomly selected locations on the finished pavement and the density of the cores was measured using the AASHTO T-166 method. The validation of the IACA performance was performed by the comparison of the IACA estimated density with the density of the roadway cores at these random locations. The measurements from 180 roadway cores over the duration of the project showed that the IACA was able to estimate the density of the compacted pavement with a mean error of 0.1% (of the Theoretical Maximum Density) and a standard deviation of 0.8. Further, the estimation error had a 95% Confidence Interval of [-1.2 1.2], thereby indicating that the IACA is suitable for use as a contractor Quality/process Control tool during the construction of Asphalt Pavements. |
| Rosap ID | dot:42679 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/42679 |
| TRT Terms | Compaction; Asphalt pavements; Analysis; Neural networks; Vibration tests |
| Geographical Coverage |
United States |
| Contract Number | DTFH61-08-G-00002 |
| Report Number | FHWA-HIF-12-019 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/68000/68000/68032/FHWA-HIF-12-019.pdf |
| Format | |
| Database | NTL Digital Repository |