YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • 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.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-3 of 3

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures through Natural Gradient Boosting 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 008:;page 04022096
    Author(s): Shi-Zhi Chen; De-Cheng Feng; Wen-Jie Wang; Ertugrul Taciroglu
    Publisher: ASCE
    Abstract: The capabilities of data-driven models based on machine learning (ML) algorithms in offering accurate predictions of structural responses efficiently have been demonstrated in numerous recent studies. However, efforts to ...
    Request PDF

    Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls 

    Source: Journal of Structural Engineering:;2021:;Volume ( 147 ):;issue: 011:;page 04021173-1
    Author(s): De-Cheng Feng; Wen-Jie Wang; Sujith Mangalathu; Ertugrul Taciroglu
    Publisher: ASCE
    Abstract: RC shear walls are commonly used as lateral load-resisting elements in seismic regions, and the estimation of their shear strengths can become simultaneously design-critical and complex when they have so-called squat ...
    Request PDF

    Effectiveness Assessment of TMDs in Bridges under Strong Winds Incorporating Machine-Learning Techniques 

    Source: Journal of Performance of Constructed Facilities:;2022:;Volume ( 036 ):;issue: 005:;page 04022036
    Author(s): Zhen Sun; De-Cheng Feng; Sujith Mangalathu; Wen-Jie Wang; Di Su
    Publisher: ASCE
    Abstract: Tuned mass dampers (TMDs) are widely used to control excessive wind-induced vibration in the box girders of long-span bridges. Although the optimal design of TMDs has been investigated abundantly in the last few years, the ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    Publisher

    Year

    Type

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian