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    Task-based defect management: anatomical classification

    Access Status
    Fulltext not available
    Authors
    Almusharraf, Abdullah
    Whyte, Andrew
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Almusharraf, A. and Whyte, A. 2016. Task-based defect management: anatomical classification. Built Environment Project and Asset Management. 6 (3): pp. 345-358.
    Source Title
    Built Environment Project and Asset Management
    DOI
    10.1108/BEPAM-02-2015-0006
    ISSN
    2044-124X
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/52117
    Collection
    • Curtin Research Publications
    Abstract

    Purpose – Studies on the construction defects and quality deviations have been commissioned and published in many countries, showing the global status of the issues related with construction defects. Therefore, the quality of the adapted practices in construction projects can be improved if the pattern of the sub-task, specifically the quality deviations and construction defects from the requirements and specifications is identified and understood. The purpose of this paper is to improve understanding of the behavior and pattern of the more sensitivity sub-task requirements (STRs) through the anatomy process of a particular task. Design/methodology/approach – Six criteria have been classified for the levels of the estimated STRs quality deviations. The proposed study classifications were examined through the 3,030 cases of 17 STRs from compression concrete members (i.e. column). Findings – Most of the STRs were found to be prone to deviations and the sensitivities of the STRs toward deviations and defects are varied across all STRs. The study reveals that three of the 17 STRs were observed as perfect works, ten STRs as acceptable works and four STRs as defective works. Originality/value – The study found that the sub-task deviation patterns cannot be generalized and must be individually studied to recommend the appropriate proactive measures.

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