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    Exterior Brick Walls: Learning Nonquality through Failures and Climate-Pathological Distribution

    Source: Journal of Performance of Constructed Facilities:;2022:;Volume ( 036 ):;issue: 005::page 04022040
    Author:
    Manuel J. Carretero-Ayuso
    ,
    Mª Teresa Pinheiro-Alves
    ,
    Daniel Antón
    ,
    María Fernández-Alconchel
    DOI: 10.1061/(ASCE)CF.1943-5509.0001751
    Publisher: ASCE
    Abstract: The object of this research was to identify the list of climatological variables involved in the appearance of construction failures in the external walls of dwellings through the analysis of over one thousand cases. The data source used consisted of the judicial records of the Justice Administration, a source to which few researchers have access, given the dispersion of the data and the permissions required to access it. Once obtained, all situations pertaining to dwellings were read and annotated, until 100% of the cases were accounted for, and percentages of recurrence were calculated for each of the nine different types of failures that were described. A study was carried out by so-called strips of climatic location according to four climatological variables (situation, latitude, climate, and annual rainfall) that were sorted from largest to smallest to obtain the ranks of pathology concentration according to the resulting preponderance. Using these results, technicians will be able to identify the most problematic climate-geographical areas by determining the ranks of normalized frequencies, allowing them to take the necessary measures during the construction process. The lessons learned can be incorporated into maintenance plans to optimize preventive maintenance frequency and actions.
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      Exterior Brick Walls: Learning Nonquality through Failures and Climate-Pathological Distribution

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4286102
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    contributor authorManuel J. Carretero-Ayuso
    contributor authorMª Teresa Pinheiro-Alves
    contributor authorDaniel Antón
    contributor authorMaría Fernández-Alconchel
    date accessioned2022-08-18T12:09:26Z
    date available2022-08-18T12:09:26Z
    date issued2022/07/12
    identifier other%28ASCE%29CF.1943-5509.0001751.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286102
    description abstractThe object of this research was to identify the list of climatological variables involved in the appearance of construction failures in the external walls of dwellings through the analysis of over one thousand cases. The data source used consisted of the judicial records of the Justice Administration, a source to which few researchers have access, given the dispersion of the data and the permissions required to access it. Once obtained, all situations pertaining to dwellings were read and annotated, until 100% of the cases were accounted for, and percentages of recurrence were calculated for each of the nine different types of failures that were described. A study was carried out by so-called strips of climatic location according to four climatological variables (situation, latitude, climate, and annual rainfall) that were sorted from largest to smallest to obtain the ranks of pathology concentration according to the resulting preponderance. Using these results, technicians will be able to identify the most problematic climate-geographical areas by determining the ranks of normalized frequencies, allowing them to take the necessary measures during the construction process. The lessons learned can be incorporated into maintenance plans to optimize preventive maintenance frequency and actions.
    publisherASCE
    titleExterior Brick Walls: Learning Nonquality through Failures and Climate-Pathological Distribution
    typeJournal Article
    journal volume36
    journal issue5
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/(ASCE)CF.1943-5509.0001751
    journal fristpage04022040
    journal lastpage04022040-12
    page12
    treeJournal of Performance of Constructed Facilities:;2022:;Volume ( 036 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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