| contributor author | Shaikh, Sadiya | |
| contributor author | Gupta, Ankit | |
| contributor author | Raj, Vishu | |
| contributor author | Singh, Anshika | |
| date accessioned | 2026-08-20T11:38:30Z | |
| date available | 2026-08-20T11:38:30Z | |
| date copyright | 2025/10/24 | |
| date issued | 2026 | |
| identifier other | JMCEE7.MTENG-21183.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312474 | |
| description abstract | AbstractThe present study aims to estimate Marshall-designed bituminous mixtures’ rutting
and cracking resistance using different machine learning algorithms. The BS EN 12597-24
(dynamic creep test) and ASTM D8225-19 (Indirect Tensile Asphalt Cracking ... | |
| publisher | American Society of Civil Engineers | |
| title | Machine-Learning Algorithms for Estimating Rutting Potential and Cracking Tolerance Index of Bituminous Mixtures | |
| type | Journal Article | |
| journal volume | 38 | |
| journal issue | 1 | |
| journal title | Journal of Materials in Civil Engineering | |
| identifier doi | 10.1061/JMCEE7.MTENG-21183 | |
| journal fristpage | 04025484-1 | |
| journal lastpage | 04025484-16 | |
| page | 16 | |
| tree | Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 001 | |
| contenttype | Fulltext | |
