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    Predicting the Service Life of Exterior Wall Painting: Techno-Economic Analysis of Alternative Maintenance Strategies

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 003
    Author:
    C. Chai
    ,
    J. de Brito
    ,
    P. L. Gaspar
    ,
    A. Silva
    DOI: 10.1061/(ASCE)CO.1943-7862.0000812
    Publisher: American Society of Civil Engineers
    Abstract: Exterior wall painting is one of the most widely-used coating solutions in Portugal. It is particularly susceptible to degradation; this affects the quality of public spaces and the image of cities. The study of service-life prediction contributes to a more rational management of the maintenance of buildings. The state of repair of 220 façades in the Lisbon region of Portugal determined through an in-service survey is analyzed. The model proposed to estimate the service life of painted surfaces is a relatively simple method that balances cost and speed, enabling its practical application to any structure. The models obtained enabled degradation patterns to be identified. The method yielded an average (reference) service life of paint coatings of around 10 years. A technoeconomic analysis was then performed that compared various maintenance strategies for a period of time of 20 years, as follows: (1) maintenance every 5 years, (2) maintenance at 15 and 20 years, and (3) maintenance adjusted in accordance with the findings of service-life prediction of painted surfaces. The research reported in this paper proved that technical knowledge can be converted into economic and performance gains. In this case the maintenance strategy based on service-life prediction data proved to be the best. Tools such as these are essential to the maintenance of built heritage.
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      Predicting the Service Life of Exterior Wall Painting: Techno-Economic Analysis of Alternative Maintenance Strategies

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58971
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    contributor authorC. Chai
    contributor authorJ. de Brito
    contributor authorP. L. Gaspar
    contributor authorA. Silva
    date accessioned2017-05-08T21:40:14Z
    date available2017-05-08T21:40:14Z
    date copyrightMarch 2014
    date issued2014
    identifier other%28asce%29cp%2E1943-5487%2E0000005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58971
    description abstractExterior wall painting is one of the most widely-used coating solutions in Portugal. It is particularly susceptible to degradation; this affects the quality of public spaces and the image of cities. The study of service-life prediction contributes to a more rational management of the maintenance of buildings. The state of repair of 220 façades in the Lisbon region of Portugal determined through an in-service survey is analyzed. The model proposed to estimate the service life of painted surfaces is a relatively simple method that balances cost and speed, enabling its practical application to any structure. The models obtained enabled degradation patterns to be identified. The method yielded an average (reference) service life of paint coatings of around 10 years. A technoeconomic analysis was then performed that compared various maintenance strategies for a period of time of 20 years, as follows: (1) maintenance every 5 years, (2) maintenance at 15 and 20 years, and (3) maintenance adjusted in accordance with the findings of service-life prediction of painted surfaces. The research reported in this paper proved that technical knowledge can be converted into economic and performance gains. In this case the maintenance strategy based on service-life prediction data proved to be the best. Tools such as these are essential to the maintenance of built heritage.
    publisherAmerican Society of Civil Engineers
    titlePredicting the Service Life of Exterior Wall Painting: Techno-Economic Analysis of Alternative Maintenance Strategies
    typeJournal Paper
    journal volume140
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000812
    treeJournal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 003
    contenttypeFulltext
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