YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Materials in Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Materials in Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Extreme Gradient Boosting Tuned Algorithms for Estimating Fracture Toughness of Geopolymer Mortar Containing Ground Granulated Blast Furnace Slag

    Source: Journal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 008::page 04025245-1
    Author:
    Liu, Hongyu
    ,
    Li, Dongliang
    ,
    Xu, Yanqiu
    ,
    Xu, Ying
    ,
    Zhang, Jinwei
    DOI: 10.1061/JMCEE7.MTENG-19538
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe correlation between mix design and fracture characteristics of ground granulated blast furnace slag (GGBFS) concrete is intricate and affected by several variables, including mixture composition. This study created novel and powerful models ...
    • Download: (6.132Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Extreme Gradient Boosting Tuned Algorithms for Estimating Fracture Toughness of Geopolymer Mortar Containing Ground Granulated Blast Furnace Slag

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4312117
    Collections
    • Journal of Materials in Civil Engineering

    Show full item record

    contributor authorLiu, Hongyu
    contributor authorLi, Dongliang
    contributor authorXu, Yanqiu
    contributor authorXu, Ying
    contributor authorZhang, Jinwei
    date accessioned2026-08-20T11:23:03Z
    date available2026-08-20T11:23:03Z
    date copyright2025/06/09
    date issued2025
    identifier otherJMCEE7.MTENG-19538.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312117
    description abstractAbstractThe correlation between mix design and fracture characteristics of ground granulated blast furnace slag (GGBFS) concrete is intricate and affected by several variables, including mixture composition. This study created novel and powerful models ...
    publisherAmerican Society of Civil Engineers
    titleExtreme Gradient Boosting Tuned Algorithms for Estimating Fracture Toughness of Geopolymer Mortar Containing Ground Granulated Blast Furnace Slag
    typeJournal Article
    journal volume37
    journal issue8
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/JMCEE7.MTENG-19538
    journal fristpage04025245-1
    journal lastpage04025245-18
    page18
    treeJournal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 008
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian