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Title: Neural Network Models for Porous Asphalt (PA) Lifespan
Accession Number: 01046373
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: More than 65% of the Dutch motorways are covered with porous asphalt (PA) which has many advantages; however, its lifespan is mostly short causing high maintenance costs. The PA lifespan is defined by the combination of mixture properties, historical damage, construction condition, and environmental factors. Due to the complexity of this combination, Dutch road engineers needs a more powerful modeling technique than the conventional ones to analyze PA lifespan. In this study, we developed Artificial Neural Network (ANN) models for PA lifespan. The study used 102 PA road sections obtained from SHRP-NL database containing ten years data (1991-2000). The ANN forecasting resulted in many valuable results such as the proper percentage range for each item in asphalt mixture to increase PA lifespan. The study showed that ANN could be the powerful modeling technique that Dutch road engineers seek. However, ANN models are as good as allowed by the data.
Monograph Title: Monograph Accession #: 01042056
Report/Paper Numbers: 07-1584
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Miradi, MaryamMolenaar, Andre A APagination: 15p
Publication Date: 2007
Conference:
Transportation Research Board 86th Annual Meeting
Location:
Washington DC, United States Media Type: CD-ROM
Features: Figures
(6)
; Photos; References
(15)
; Tables
(3)
TRT Terms: Subject Areas: Design; Highways; Maintenance and Preservation; Pavements; I22: Design of Pavements, Railways and Guideways; I60: Maintenance
Source Data: Transportation Research Board Annual Meeting 2007 Paper #07-1584
Files: TRIS, TRB
Created Date: Feb 8 2007 6:14PM
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