YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Computing 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

    Detecting Internal Erosion in Earth Dams: Frequency-Domain Analysis with Mel Spectrograms and Convolutional Autoencoders

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002::page 04025160-1
    Author:
    Fazel Mojtahedi, Farid
    ,
    Hashem, Tahrima
    ,
    Yousefpour, Negin
    DOI: 10.1061/JCCEE5.CPENG-6629
    Publisher: American Society of Civil Engineers
    Abstract: AbstractInternal erosion poses a significant threat to the structural integrity of earth dams, often leading to catastrophic failures. The critical nature of such events emphasizes the need for reliable predictive methods to foresee and mitigate these ...
    • Download: (1.764Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Detecting Internal Erosion in Earth Dams: Frequency-Domain Analysis with Mel Spectrograms and Convolutional Autoencoders

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314406
    Collections
    • Journal of Computing in Civil Engineering

    Show full item record

    contributor authorFazel Mojtahedi, Farid
    contributor authorHashem, Tahrima
    contributor authorYousefpour, Negin
    date accessioned2026-08-20T21:24:33Z
    date available2026-08-20T21:24:33Z
    date copyright2025/12/02
    date issued2026
    identifier otherJCCEE5.CPENG-6629.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314406
    description abstractAbstractInternal erosion poses a significant threat to the structural integrity of earth dams, often leading to catastrophic failures. The critical nature of such events emphasizes the need for reliable predictive methods to foresee and mitigate these ...
    publisherAmerican Society of Civil Engineers
    titleDetecting Internal Erosion in Earth Dams: Frequency-Domain Analysis with Mel Spectrograms and Convolutional Autoencoders
    typeJournal Article
    journal volume40
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6629
    journal fristpage04025160-1
    journal lastpage04025160-13
    page13
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
    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