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      Statistical modelling proposal for the prediction of the influence on mould growth of interior finishings

      Published
        1 , , 1 , 2
      1st International Conference on Moisture in Buildings 2021 (ICMB21)
      28-29 June 2021
      mould growth, bio-hygrothermal simulation, WUFI, building materials
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            Abstract

            The interior lining of a home envelope can affect mould growth. This work aimed at proposing the application of statistical modelling that allows predicting the formation of mould on standard solutions when the interior finishings vary. An experimental evaluation based on bio-hygrothermal simulations and a practical experiment was carried out, the results formed the database to be used in the proposal presented. The development of a statistical modelling of parameters that represent the characteristics of the finishing material, the underlying layer and the insulation position, can be used to predict the growth of mould, on a static calculation tool without resorting to dynamic biohygrothermal simulations for each variation of interior finishing.

            Content

            Author and article information

            Conference
            13 May 2021
            Affiliations
            [1 ] Department of Building Science and CITEC Building Technology Research Centre, University of Bío-Bío
            [2 ] Department of Civil Engineering and Project Management, Hochschule Biberach University of Applied Sciences
            Article
            10.14293/ICMB210056
            caba6378-2579-4b33-b740-8f7f11e6efe3
            The Author(s)

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            1st International Conference on Moisture in Buildings 2021
            ICMB21
            Online
            28-29 June 2021
            History
            Product

            ScienceOpen


            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Engineering

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