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

    Characterizing Porous Volume of Cement-Based Concrete by Multiscale Image Analysis

    Source: Journal of Materials in Civil Engineering:;2020:;Volume ( 032 ):;issue: 009
    Author:
    Yang Song
    ,
    Guozhong Dai
    ,
    Junwen Zhou
    ,
    Zhengning Bian
    ,
    Li Zhao
    ,
    Luguang Song
    DOI: 10.1061/(ASCE)MT.1943-5533.0003355
    Publisher: ASCE
    Abstract: The porous volume of cement-based concrete is the key to understand its mechanical properties and durability. In this research, we apply X-ray tomography (XRT) and focused ion beam/scanning electron microscopy (FIB/SEM) to scan the multiscale porous volume of concrete with a resolution from 25 μm down to 10 nm. Based on the three-dimensional (3D) images, the pore morphology, pore network representativity, porosity, pore network connectivity, and pore size distribution (PSD) in different scales are analyzed and further discussed. Results show one sample can hardly be representative for observed zones, especially for the FIB/SEM and XRT1 samples. Thus, three samples are applied to FIB/SEM and XRT1 imaging, which reduce the relative error of porosity from 31%–33% in the micron scale and 15%–36% in the nanoscale to 18%–19% and 9%–21%, respectively. The combination of porosity in a multiscale has a similar value with that measured by mercury intrusion porosimetry (MIP). Meanwhile, the combined PSD has a similar curve form and peak size to that of MIP, which implies that the combination of image analysis in a multiscale provides a preliminary view of a multiscale porous volume of concrete.
    • Download: (6.991Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Characterizing Porous Volume of Cement-Based Concrete by Multiscale Image Analysis

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4267290
    Collections
    • Journal of Materials in Civil Engineering

    Show full item record

    contributor authorYang Song
    contributor authorGuozhong Dai
    contributor authorJunwen Zhou
    contributor authorZhengning Bian
    contributor authorLi Zhao
    contributor authorLuguang Song
    date accessioned2022-01-30T20:53:04Z
    date available2022-01-30T20:53:04Z
    date issued9/1/2020 12:00:00 AM
    identifier other%28ASCE%29MT.1943-5533.0003355.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267290
    description abstractThe porous volume of cement-based concrete is the key to understand its mechanical properties and durability. In this research, we apply X-ray tomography (XRT) and focused ion beam/scanning electron microscopy (FIB/SEM) to scan the multiscale porous volume of concrete with a resolution from 25 μm down to 10 nm. Based on the three-dimensional (3D) images, the pore morphology, pore network representativity, porosity, pore network connectivity, and pore size distribution (PSD) in different scales are analyzed and further discussed. Results show one sample can hardly be representative for observed zones, especially for the FIB/SEM and XRT1 samples. Thus, three samples are applied to FIB/SEM and XRT1 imaging, which reduce the relative error of porosity from 31%–33% in the micron scale and 15%–36% in the nanoscale to 18%–19% and 9%–21%, respectively. The combination of porosity in a multiscale has a similar value with that measured by mercury intrusion porosimetry (MIP). Meanwhile, the combined PSD has a similar curve form and peak size to that of MIP, which implies that the combination of image analysis in a multiscale provides a preliminary view of a multiscale porous volume of concrete.
    publisherASCE
    titleCharacterizing Porous Volume of Cement-Based Concrete by Multiscale Image Analysis
    typeJournal Paper
    journal volume32
    journal issue9
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/(ASCE)MT.1943-5533.0003355
    page12
    treeJournal of Materials in Civil Engineering:;2020:;Volume ( 032 ):;issue: 009
    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