NDLI: Asphalt compaction quality control using Artificial Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Beainy, F. Commuri, S. Zaman, M.
Copyright Year	2010
Description	Author affiliation: College of Engineering, University of Oklahoma, Norman, 73019, USA (Zaman, M.) \|\| School of Electrical and Computer Engineering at the University of Oklahoma, Norman, 73019, USA (Beainy, F.; Commuri, S.)
Abstract	Adequate compaction of asphalt pavements during their construction is essential to the long term performance of the pavement. Under/over-compaction during the construction process leads to the early deterioration and failure of the pavement. Current quality control techniques in the field involve the extraction of roadway cores and the measurement of density using point wise measurement techniques. Such tests determine the quality at discrete locations typically after compaction is complete and are not indicative of the overall quality of the pavement. Conversely, analyzing the vibrations of a vibratory compactor during asphalt pavement construction is a proven indicator of the complete compaction quality. The compaction of asphalt pavement is a complicated process resulting in the absence of a closed-form solution for estimating stiffness or density of the mat being compacted. In this paper, we present Intelligent Asphalt Compaction Analyzer (IACA) as a decision making device for operators to treat the asphalt pavement in an appropriate way to control the quality of compaction. IACA is a classification tool that uses Artificial Neural Network (ANN) to give an estimate density value of the road underneath the roller drum during compaction process. The Fast Fourier Transform of the roller vibrations is used by the ANN to estimate density values. Currently available Intelligent Compaction (IC) techniques provide a measure of quality that is hard to relate to any physical measurement. In contrast, the proposed method gives a density measurement that can be verified either by the extraction of roadway cores or through the use of conventional density gauges. As a result, the performance of the proposed method can be validated during the construction process.
Starting Page	4643
Ending Page	4648
File Size	476390
Page Count	6
File Format	PDF
ISBN	9781424477456
ISSN	07431546
e-ISBN	9781424477463
DOI	10.1109/CDC.2010.5717127
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Compaction Vibrations Asphalt Artificial neural networks Mathematical model Density measurement Equations
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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