Download | - View final version: Development of moisture reference years for assessing long-term mould growth risk of wood-frame building envelopes (PDF, 1020 KiB)
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DOI | Resolve DOI: https://doi.org/10.1088/1742-6596/2069/1/012015 |
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Author | Search for: Wang, Lin1; Search for: Defo, Maurice1; Search for: Gaur, Abhishek1; Search for: Lacasse, Michael A.1 |
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Affiliation | - National Research Council of Canada. Construction
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Format | Text, Article |
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Conference | 8th International Building Physics Conference (IBPC 2021), August 25-27, 2021, Copenhagen, Denmark |
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Abstract | A moisture reference year (MRY) is generally used to assess the durability, or long-term performance of building envelopes within a long climatological time period, e.g. a 31 year timeframe. The intent of this paper is to develop a set of moisture reference years that can be used to assess risk to the formation of mould growth in wood-frame buildings over the long-term. The set of moisture reference years have been developed based on 15 realizations of 31- year climate data. Replicated Latin Hypercube Sampling is applied to select 15 sub-realizations with 7 representative years having different levels of moisture index (MI) from each realization. Thereafter, hygrothermal simulations are performed for a brick veneer clad wood-frame wall assembly using the 15 sub-realizations; that sub-realization which produces the highest value of maximum mould growth index over 7-year period is selected as the MRY. The selection process is then implemented for all 15 realizations of the 31-years of data sets, from which 15 sets of 7- year long MRYs are selected to represent the original 15 realizations. It is shown that the 15 sets of 7-year long MRYs can produce the same value of maximum mould growth index as well as the uncertainty as compared to the original 15 realizations having a 31-year climate data set. |
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Publication date | 2021-11-01 |
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Publisher | IOP |
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Licence | |
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In | |
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Language | English |
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Peer reviewed | Yes |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | abeac60b-72b0-40d6-8e11-1e47c81a3761 |
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Record created | 2023-01-10 |
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Record modified | 2023-01-10 |
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