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Calibration Procedures for the Intelligent Asphalt Compaction Analyzer
被引:0
|作者:
Commuri, Sesh
[1
]
Mai, Anh
[1
]
Zaman, Musharraf
[2
]
机构:
[1] Univ Oklahoma, Sch Elect & Comp Engn, Stephenson Res & Technol Ctr, Norman, OK 73019 USA
[2] Univ Oklahoma, Coll Engn, Norman, OK 73019 USA
关键词:
hot mix asphalt;
vibratory rollers;
intelligent compaction;
construction technology;
D O I:
10.1520/JTE003110
中图分类号:
TB3 [工程材料学];
学科分类号:
0805 ;
080502 ;
摘要:
The intelligent asphalt compaction analyzer (IACA) is a device based on neural network technology that can measure the density of an asphalt pavement continuously in real time during its construction. It was shown during limited field trials that the IACA could, in real time, measure the density of an asphalt pavement during its construction with accuracy comparable to existing point-wise measurement technologies. In this paper, the procedure to calibrate the IACA and the validation of the performance, i.e., accuracy of density measurements, are addressed. The results demonstrate that the IACA can be used to determine the density of the asphalt mat during compaction with an accuracy needed for quality control operations in the field.
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页码:454 / 462
页数:9
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