| dc.contributor.author | Shaikh, Sadiya | |
| dc.contributor.author | Gupta, Ankit | |
| dc.contributor.author | Raj, Vishu | |
| dc.contributor.author | Singh, Anshika | |
| dc.date.accessioned | 2026-08-20T11:38:30Z | |
| dc.date.available | 2026-08-20T11:38:30Z | |
| dc.date.copyright | 2025/10/24 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JMCEE7.MTENG-21183.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312474 | |
| dc.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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Machine-Learning Algorithms for Estimating Rutting Potential and Cracking Tolerance Index of Bituminous Mixtures | |
| dc.type | Journal Article | |
| dc.journal.volume | 38 | |
| dc.journal.issue | 1 | |
| dc.journal.title | Journal of Materials in Civil Engineering | |
| dc.identifier.doi | 10.1061/JMCEE7.MTENG-21183 | |
| dc.journal.fristpage | 04025484-1 | |
| dc.journal.lastpage | 04025484-16 | |
| dc.page | 16 | |
| dc.tree | Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 001 | |
| dc.contenttype | Fulltext | |
