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    Quantitative Image Analysis of Masonry Mortar Microstructure

    Source: Journal of Computing in Civil Engineering:;1999:;Volume ( 013 ):;issue: 002
    Author:
    A. M. Werner
    ,
    D. A. Lange
    DOI: 10.1061/(ASCE)0887-3801(1999)13:2(110)
    Publisher: American Society of Civil Engineers
    Abstract: The mechanisms involved in the bonding of brick and mortar include microstructural processes. These processes can be studied by analyzing digital computer microscopy images of brick and mortar specimens both qualitatively and quantitatively. In this study, all phases within an image of a masonry mortar specimen were segmented using an algorithm that combines a conventional grey-level thresholding technique with a filtering process to differentiate between the textures of each phase. The algorithm was integrated into a macro program so that the quantitative analysis could be performed automatically, saving time and limiting some operator bias. The results obtained from the image-based phase analysis were used to analyze changes in air void content and consolidation of fresh masonry mortars exposed to clay brick and concrete units.
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      Quantitative Image Analysis of Masonry Mortar Microstructure

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    contributor authorA. M. Werner
    contributor authorD. A. Lange
    date accessioned2017-05-08T21:12:47Z
    date available2017-05-08T21:12:47Z
    date copyrightApril 1999
    date issued1999
    identifier other%28asce%290887-3801%281999%2913%3A2%28110%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/42971
    description abstractThe mechanisms involved in the bonding of brick and mortar include microstructural processes. These processes can be studied by analyzing digital computer microscopy images of brick and mortar specimens both qualitatively and quantitatively. In this study, all phases within an image of a masonry mortar specimen were segmented using an algorithm that combines a conventional grey-level thresholding technique with a filtering process to differentiate between the textures of each phase. The algorithm was integrated into a macro program so that the quantitative analysis could be performed automatically, saving time and limiting some operator bias. The results obtained from the image-based phase analysis were used to analyze changes in air void content and consolidation of fresh masonry mortars exposed to clay brick and concrete units.
    publisherAmerican Society of Civil Engineers
    titleQuantitative Image Analysis of Masonry Mortar Microstructure
    typeJournal Paper
    journal volume13
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)0887-3801(1999)13:2(110)
    treeJournal of Computing in Civil Engineering:;1999:;Volume ( 013 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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