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    Data Analysis of Inspection, Diagnosis, and Rehabilitation of Flat Roofs

    Source: Journal of Performance of Constructed Facilities:;2019:;Volume ( 033 ):;issue: 001
    Author:
    J. Conceição; B. Poça; J. de Brito; I. Flores-Colen; A. Castelo
    DOI: 10.1061/(ASCE)CF.1943-5509.0001252
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents the data collected from the inspection of 105 Portuguese flat roofs. The inspections were based on a system of inspection, diagnosis, and rehabilitation created and validated previously for flat roofs. The use of this system increases the objectivity and effectiveness of an inspection and supports the inspection of flat roofs. The use of flat roofs is gaining momentum in the construction sector worldwide, and there is little information concerning the correlation among the most common types of anomalies, their most probable causes, applicable diagnosis tests, and the most suitable rehabilitation techniques. The information gathered during the field inspection of 105 flat roofs allowed the validation of the proposed inspection system and the determination of the most common features that can occur in this type of roofing system, as well as their correlation with the materials, characteristics, location, and position on the roofing system. The data analysis of the information gathered aims at helping designers, end users, and inspectors as a decision-basis tool regarding this roofing system, and is presented in various charts in order to facilitate their interpretation and help identify the most conditioning parameters in the performance and durability of this type of nonstructural system.
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      Data Analysis of Inspection, Diagnosis, and Rehabilitation of Flat Roofs

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4254598
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    contributor authorJ. Conceição; B. Poça; J. de Brito; I. Flores-Colen; A. Castelo
    date accessioned2019-03-10T11:59:19Z
    date available2019-03-10T11:59:19Z
    date issued2019
    identifier other%28ASCE%29CF.1943-5509.0001252.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254598
    description abstractThis paper presents the data collected from the inspection of 105 Portuguese flat roofs. The inspections were based on a system of inspection, diagnosis, and rehabilitation created and validated previously for flat roofs. The use of this system increases the objectivity and effectiveness of an inspection and supports the inspection of flat roofs. The use of flat roofs is gaining momentum in the construction sector worldwide, and there is little information concerning the correlation among the most common types of anomalies, their most probable causes, applicable diagnosis tests, and the most suitable rehabilitation techniques. The information gathered during the field inspection of 105 flat roofs allowed the validation of the proposed inspection system and the determination of the most common features that can occur in this type of roofing system, as well as their correlation with the materials, characteristics, location, and position on the roofing system. The data analysis of the information gathered aims at helping designers, end users, and inspectors as a decision-basis tool regarding this roofing system, and is presented in various charts in order to facilitate their interpretation and help identify the most conditioning parameters in the performance and durability of this type of nonstructural system.
    publisherAmerican Society of Civil Engineers
    titleData Analysis of Inspection, Diagnosis, and Rehabilitation of Flat Roofs
    typeJournal Paper
    journal volume33
    journal issue1
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/(ASCE)CF.1943-5509.0001252
    page04018100
    treeJournal of Performance of Constructed Facilities:;2019:;Volume ( 033 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian