| Journal: | Materials research |
| Database: | PERIÓDICA |
| System number: | 000312965 |
| ISSN: | 1516-1439 |
| Authors: | Specht, Luciano Pivoto1 Khatchatourian, Oleg Brito, Lelio Antonio Teixeira2 Ceratti, Jorge Augusto Pereira |
| Institutions: | 1Universidade Regional do Noroeste do Estado do Rio Grande do Sul, Ijui, Rio Grande do Sul. Brasil 2Universidade Federal do Rio Grande do Sul, Escola de Engenharia, Porto Alegre, Rio Grande do Sul. Brasil |
| Year: | 2007 |
| Season: | Ene-Mar |
| Volumen: | 10 |
| Number: | 1 |
| Pages: | 69-74 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Nota breve o noticia |
| Approach: | Experimental |
| English abstract | It is of a great importance to know binders' viscosity in order to perform handling, mixing, application processes and asphalt mixes compaction in highway surfacing. This paper presents the results of viscosity measurement in asphalt-rubber binders prepared in laboratory. The binders were prepared varying the rubber content, rubber particle size, duration and temperature of mixture, all following a statistical design plan. The statistical analysis and artificial neural networks were used to create mathematical models for prediction of the binders viscosity. The comparison between experimental data and simulated results with the generated models showed best performance of the neural networks analysis in contrast to the statistic models. The results indicated that the rubber content and duration of mixture have major influence on the observed viscosity for the considered interval of parameters variation |
| Disciplines: | Ingeniería, Física y astronomía |
| Keyword: | Ingeniería civil, Ingeniería de materiales, Mecánica, elasticidad y reología, Carreteras, Viscosidad, Asfalto, Caucho, Propiedades mecánicas |
| Keyword: | Engineering, Physics and astronomy, Civil engineering, Materials engineering, Mechanics, elasticity and rheology, Highways, Viscosity, Asphalt, Rubber, Mechanical properties |
| Full text: | Texto completo (Ver HTML) |
