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Classification of material sensitivity: New approach for mould growth modeling

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The article was published on 2011-01-01 and is currently open access. It has received 17 citations till now. The article focuses on the topics: Sensitivity (control systems).

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Journal ArticleDOI

Review of mould prediction models and their influence on mould risk evaluation

TL;DR: In this article, an overview of the different existing models and the impact of the mold prediction model on the mould risk evaluation is presented. But the authors do not consider the exposure time of the mould growth.
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Mould growth criteria and design avoidance approaches in wood-based materials – A systematic review

TL;DR: In this article, a systematic literature review about the development of criteria and models representing mould growth in wood-based materials is presented, where results from experimental research regarding factors governing mould growth are discussed; afterwards, they are used to analyse the comprehensiveness of current mould models.
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Mold Risk Classification Based on Comparative Evaluation of Two Established Growth Models

TL;DR: In this article, a conversion function was developed allowing the transformation of the calculated hyphen growth, in mm, into the mold index with a high level of correspondence, which can be used to assess both: Results from hygrothermal numerical simulations or measured data.
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Long term in situ measurements of hygrothermal conditions at critical points in four cases of internally insulated historic solid masonry walls

TL;DR: In this article, the authors present results from hygrothermal measurements performed in four different buildings in Denmark where internal insulation has been installed, and the buildings are all heritage buildings from 1877-1932 and of solid masonry walls.
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A probabilistic-based methodology for predicting mould growth in façade constructions

TL;DR: In this article, a probabilistic-based methodology is proposed to assess the performance of facade constructions against mould growth and accounts for the aforementioned uncertainties, which can facilitate reliability-based design and optimisation of facade construction.
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