Predicting moisture problems in low-slope roofing

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Description

Moisture intrusion is the major reason why low-slope roofing systems fail prematurely. With approximately 75% of all roofing activity being reroofing, the roofing professional is faced with deciding what to do with an existing wet roof on almost a daily basis. This paper describes finite-difference computer modeling that has been performed to address moisture control in low-slope roof systems. Based on a large database of finite difference modeling results, algorithms have been developed that allow the roofing practitioners to simply determine if a roofing system design requires a vapor retarder or if the system can be modified to enhance its ... continued below

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18 p.

Creation Information

Desjarlais, A.O. & Byars, N.A. November 1, 1998.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Desjarlais, A.O. Oak Ridge National Lab., TN (United States)
  • Byars, N.A. Univ. of North Carolina, Charlotte, NC (United States). Dept. of Engineering Technology

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Description

Moisture intrusion is the major reason why low-slope roofing systems fail prematurely. With approximately 75% of all roofing activity being reroofing, the roofing professional is faced with deciding what to do with an existing wet roof on almost a daily basis. This paper describes finite-difference computer modeling that has been performed to address moisture control in low-slope roof systems. Based on a large database of finite difference modeling results, algorithms have been developed that allow the roofing practitioners to simply determine if a roofing system design requires a vapor retarder or if the system can be modified to enhance its tolerance for small leaks. This paper illustrates how modeling results were obtained, describes the process employed to develop the algorithms, and demonstrates how these algorithms can be used to design a moisture tolerant low-slope roof. The range of applicability and limitations of these algorithms is also detailed.

Physical Description

18 p.

Notes

OSTI as DE99000220

Source

  • 7. thermal performance of the exterior envelope of buildings, Clearwater Beach, FL (United States), 7-11 Dec 1998

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  • Other: DE99000220
  • Report No.: ORNL/CP--99125
  • Report No.: CONF-981201--
  • Grant Number: AC05-96OR22464
  • Office of Scientific & Technical Information Report Number: 291013
  • Archival Resource Key: ark:/67531/metadc680402

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Creation Date

  • November 1, 1998

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • Jan. 25, 2016, 12:13 p.m.

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Desjarlais, A.O. & Byars, N.A. Predicting moisture problems in low-slope roofing, article, November 1, 1998; Tennessee. (digital.library.unt.edu/ark:/67531/metadc680402/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.