DocumentCode
2541174
Title
Field validation of the Intelligent Asphalt Compaction Analyzer
Author
Commuri, Sesh ; Mai, Anh
Author_Institution
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
fYear
2009
fDate
24-26 June 2009
Firstpage
651
Lastpage
656
Abstract
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 validation of the performance of the IACA, i.e. accuracy of density measurements, is 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.
Keywords
asphalt; neural nets; quality control; road building; asphalt pavement; construction; intelligent asphalt compaction analyzer; neural network; quality control; Accelerometers; Asphalt; Automatic control; Compaction; Couplings; Density measurement; Frequency; Machine intelligence; Position measurement; Vibration measurement; Construction Technology; Hot Mix Asphalt; Intelligent Compaction; Vibratory Roller;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
Conference_Location
Thessaloniki
Print_ISBN
978-1-4244-4684-1
Electronic_ISBN
978-1-4244-4685-8
Type
conf
DOI
10.1109/MED.2009.5164617
Filename
5164617
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