Development of Dynamic Modulus from Creep Stiffness of Asphalt Mixtures: A Machine Learning–Based Approach

dc.contributor.author	Al Mamun, Abdullah
dc.contributor.author	Romero, Pedro
dc.contributor.author	Sreeram, Anand
dc.date.accessioned	2026-08-20T10:47:11Z
dc.date.available	2026-08-20T10:47:11Z
dc.date.copyright	2026/05/22
dc.date.issued	2026
dc.identifier.other	JCRGEI.CRENG-902.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311254
dc.description.abstract	Abstract Dynamic modulus (E*) obtained from the asphalt mixture pavement tester (AMPT) has played a vital role in conventional pavement design. However, the complexities of laboratory fabrication, field sampling of AMPT specimens, and difficulties in ...
dc.publisher	American Society of Civil Engineers
dc.title	Development of Dynamic Modulus from Creep Stiffness of Asphalt Mixtures: A Machine Learning–Based Approach
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	3
dc.journal.title	Journal of Cold Regions Engineering
dc.identifier.doi	10.1061/JCRGEI.CRENG-902
dc.journal.fristpage	04026033-1
dc.journal.lastpage	04026033-11
dc.page	11
dc.tree	Journal of Cold Regions Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttype	Fulltext