Chapter
May 7, 2012
Service Life Prediction of Low-Slope Roofing Components in Buildings
Publication: Building Integration Solutions
Abstract
This paper presents the development of probabilistic models for the service life prediction of low-slope roof components (i.e. membrane and flashing). Data used for model development are collected within the Building Envelope Life Cycle Asset Management (BELCAM) research project. The parameters that significantly affect the deterioration of built-up roof (BUR) membrane and flashing are identified through statistical tests (i.e. correlation analysis and ANOVA). Transition probability matrices of Markov-chain deterioration models are developed to be used in predicting the future condition of roof components.
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Published In
Building Integration Solutions
Pages: 1 - 10
Copyright
© 2006 American Society of Civil Engineers.
History
Published online: May 7, 2012
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Department of Construction Systems. College of Engineering and Technology, University of Nebraska - Lincoln, 1110 South 67th St, PKI 105B, Omaha, NE, 68182-0571,. E-mail: [email protected]
Department of Construction Engineering, ETS, 1100 Notre-Dame Street West, Montreal (Quebec) H3C 1K3, Canada,. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.