Neural Network Models for Porous Asphalt (PA) Lifespan
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.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Miradi, Maryam
- Molenaar, Andre A A
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Conference:
- Transportation Research Board 86th Annual Meeting
- Location: Washington DC, United States
- Date: 2007-1-21 to 2007-1-25
- Date: 2007
Language
- English
Media Info
- Media Type: CD-ROM
- Features: Figures; Photos; References; Tables;
- Pagination: 15p
- Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM
Subject/Index Terms
- TRT Terms: Asphalt; Asphalt mixtures; Asphalt pavements; Engineering; Highway engineering; Mixtures; Neural networks; Pavement design; Pavement maintenance; Pavement performance; Pavements; Porous materials; Porous pavements; Service life
- Subject Areas: Design; Highways; Maintenance and Preservation; Pavements; I22: Design of Pavements, Railways and Guideways; I60: Maintenance;
Filing Info
- Accession Number: 01046373
- Record Type: Publication
- Report/Paper Numbers: 07-1584
- Files: TRIS, TRB
- Created Date: Feb 8 2007 6:14PM