Modeling the effect of filler materials on performance of hot mix asphalt using genetic programming

Airfield and Highway Pavements 2015: Innovative and Cost-Effective Pavements for a Sustainable Future - Proceedings of the 2015 International Airfield and Highway Pavements Conference

Volumn , Issue , 2015, Pages 107-119

  Mazari, Mehran ^a   Niazi, Younes ^b  

^a UNIVERSITY OF TEXAS AT EL PASO   (United States)

^b FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ASPHALT; COST EFFECTIVENESS; FILLERS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; HYDRATED LIME; MIXTURES; PAVEMENTS; SOFT COMPUTING;

DIFFERENT GRADATIONS; FUNCTIONAL PROPERTIES; GENETIC PROGRAMMING ALGORITHMS; HOT-MIX ASPHALT MIXTURES; LABORATORY CONDITIONS; MATERIAL CHARACTERISTICS; PERMANENT DEFORMATIONS; SOFTCOMPUTING TECHNIQUES;

ASPHALT MIXTURES;

EID: 84936761989     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784479216.011     Document Type: Conference Paper

References (12)

1. Gandomi, A. H., Alavi, A. H., Mirzahosseini, M. R., and Nejad, F. M. (2010). "Nonlinear genetic-based models for prediction of flow number of asphalt mixtures." Journal of Materials in Civil Engineering, 23(3), 248-263.
2. Kandhal, P. S., and Koehler, W. S. (1985). "Marshall mix design method: current practices." Association of Asphalt Paving Technologists, 54, 284-303.
3. Koza, J. (1992). "Genetic programming, on the programming of computers by means of natural selection." MIT Press, Cambridge, MA.
4. Little, D. N., and Petersen, J. C. (2005). "Unique effects of hydrated lime filler on the performance-related properties of asphalt cements: physical and chemical interactions revisited." Journal of Materials in Civil Engineering, 17(2), 207-218.
5. Mirzahosseini, M. R., Aghaeifar, A., Alavi, A. H., Gandomi, A. H., and Seyednour, R. (2011). "Permanent deformation analysis of asphalt mixtures using soft computing techniques." Expert Systems with Applications, 38(5), 6081-6100.
6. Mohammad, L. N., Abadie, C., Gokmen, R., and Puppala, A. J. (2000). "Mechanistic evaluation of hydrated lime in hot-mix asphalt mixtures." Transportation Research Record: Journal of the Transportation Research Board, 1723(1), 26-36.
7. Neves, J., Ribeiro, J., Pereira, P., Alves, V., Machado, J., Abelha, A., and Fernández-Delgado, M. (2012). "Evolutionary intelligence in asphalt pavement modeling and quality-of-information." Progress in Artificial Intelligence, 1(1), 119-135.
8. Ozgan, E. (2011). "Artificial neural network based modelling of the Marshall Stability of asphalt concrete." Expert Systems with Applications, 38(5), 6025-6030.
9. Schmidt, M., and Lipson, H. (2009). "Distilling free-form natural laws from experimental data." Science, 324(5923), 81-85.
10. Tapkin, S., Çevik, A., & Uşar, Ü. (2010). "Prediction of Marshall test results for polypropylene modified dense bituminous mixtures using neural networks." Expert Systems with Applications, 37(6), 4660-4670.
11. Tayebali, A. A., Malpass, G. A., and Khosla, N. P. (1998). "Effect of mineral filler type and amount on design and performance of asphalt concrete mixtures." Transportation Research Record: Journal of the Transportation Research Board, 1609(1), 36-43.
12. Wang, H., Al-Qadi, I. L., Faheem, A. F., Bahia, H. U., Yang, S. H., and Reinke, G. H. (2011). "Effect of mineral filler characteristics on asphalt mastic and mixture rutting potential." Transportation Research Record: Journal of the Transportation Research Board, 2208(1), 33-39.