Title: Estimating the Degree of Compaction of Asphalt Using Proprioceptive Sensor and Dynamic Model
Abstract:Estimating the Degree of Compaction of Asphalt Using Proprioceptive Sensor and Dynamic Model Arnaud Delclos, Pierre-Olivier Vandanjon, François Peyret, Maxime Gautier, Michel Froumentin Pages 1-6 (200...Estimating the Degree of Compaction of Asphalt Using Proprioceptive Sensor and Dynamic Model Arnaud Delclos, Pierre-Olivier Vandanjon, François Peyret, Maxime Gautier, Michel Froumentin Pages 1-6 (2001 Proceedings of the 18th ISARC, Krakow, Poland, ISBN 9788386040117, ISSN 2413-5844) Abstract: The paper is about a new method, aiming at estimating in real time the compaction degree reached by an asphalt compactor. This method was developed at LCPC in the frame of a European project called OSYRIS (Open SYstem for Road Information Support). This method is based upon various measurements using proprioceptive sensors and a dynamic model of the machine, necessary to extract the desired information from the measured one. This information is foreseen to be profitable to the new ?intelligent? compacting system developed in the frame of the OSYRIS project. First is introduced the methodology for establishing the model, based upon a well-known industrial robots modeling method, and the model itself. Then is presented the principle of the method of estimation, based upon the correlation between the resisting force of the fresh material and its degree of compaction. Finally is described how the method was validated thanks to fullscale experiments, carried out with a real compactor, on real hot materials, in September 2000. The paper ends with the practical questions raised by the industrial implementation of the method. Keywords: dynamic model, asphalt compaction, automation, resistive effort DOI: https://doi.org/10.22260/ISARC2001/0031 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to MendeleyRead More
Publication Year: 2001
Publication Date: 2001-09-12
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 4
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