| contributor author | Feipeng Xiao | |
| contributor author | Serji Amirkhanian | |
| contributor author | C. Hsein Juang | |
| date accessioned | 2017-05-08T21:18:38Z | |
| date available | 2017-05-08T21:18:38Z | |
| date copyright | June 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%290899-1561%282009%2921%3A6%28253%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/46540 | |
| description abstract | Accurate prediction of the fatigue life of asphalt mixtures is a difficult task due to the complex nature of materials behavior under various loading and environmental conditions. This study explores the utilization of an artificial neural network (ANN) in predicting the fatigue life of rubberized asphalt concrete mixtures containing reclaimed asphalt pavement (RAP). Over 190 fatigue beams were made with two different rubber types (ambient and cryogenic), two different RAP sources, four rubber contents (0, 5, 10, and 15%), and tested at two different testing temperatures of 5 and | |
| publisher | American Society of Civil Engineers | |
| title | Prediction of Fatigue Life of Rubberized Asphalt Concrete Mixtures Containing Reclaimed Asphalt Pavement Using Artificial Neural Networks | |
| type | Journal Paper | |
| journal volume | 21 | |
| journal issue | 6 | |
| journal title | Journal of Materials in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0899-1561(2009)21:6(253) | |
| tree | Journal of Materials in Civil Engineering:;2009:;Volume ( 021 ):;issue: 006 | |
| contenttype | Fulltext | |
