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Modeling the creep compliance of asphalt concrete using the artificial neural network technique

From National Research Council Canada

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Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
ConferenceAnnual Congress of the Geo-Institute of ASCE (GeoCongress 2008): 9 March 2008, New Orleans, U.S.A.
SubjectRoads/Pavement
Abstract
This paper presents a method for estimating the creep compliance parameter used to characterize the low-temperature behavior of asphalt concrete mixes and predict thermal cracking of roads. The method tested several artificial neural network (ANN) models to assess their ability to predict asphalt behavior using historical data from long term pavement performance (LTPP) sites.
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  • Annual Congress of the Geo-Institute of ASCE (GeoCongress 2008)[Proceedings] (9 March 2008): 1–7.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 50057
NRC-IRC-18832
NPARC number20377892
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Record identifier2a39c4c5-8c2b-473d-9fdc-2b1a0123a724
Record created2012-07-24
Record modified2020-08-11
Date modified: