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A probabilistic-based methodology for predicting mould growth in façade constructions
Predicting mould growth on façade constructions during design is important for preventing financial loss, and ensuring a healthy and comfortable indoor environment. Uncertainties in predicting mould growth are related to the representation of the biological phenomenon, the climate exposure and the material uncertainties. This paper proposes a probabilistic-based methodology that assesses the performance of façade constructions against mould growth and accounts for the aforementioned uncertainties. A comprehensive representation of mould growth is ensured by integrating several mould models in a combined outcome. This approach enables a more comprehensible and useful illustration between continuous mould growth intensities and their corresponding likelihoods. The outdoor climate exposure is represented by stochastic models derived by real time-series analysis according to autoregressive–moving-average models. The methodology is applied to investigate the influence of several parameters and the performance of several construction assemblies. This paper proposes a method to evaluate the façade performance that can facilitate reliability-based design and optimisation of façade construction. ; The work was supported by TallFaçades project that is funded by the Research Council of Norway under the fourth joint call of the European WoodWisdomNet research programme. ; acceptedVersion
A probabilistic-based methodology for predicting mould growth in façade constructions
Predicting mould growth on façade constructions during design is important for preventing financial loss, and ensuring a healthy and comfortable indoor environment. Uncertainties in predicting mould growth are related to the representation of the biological phenomenon, the climate exposure and the material uncertainties. This paper proposes a probabilistic-based methodology that assesses the performance of façade constructions against mould growth and accounts for the aforementioned uncertainties. A comprehensive representation of mould growth is ensured by integrating several mould models in a combined outcome. This approach enables a more comprehensible and useful illustration between continuous mould growth intensities and their corresponding likelihoods. The outdoor climate exposure is represented by stochastic models derived by real time-series analysis according to autoregressive–moving-average models. The methodology is applied to investigate the influence of several parameters and the performance of several construction assemblies. This paper proposes a method to evaluate the façade performance that can facilitate reliability-based design and optimisation of façade construction. ; The work was supported by TallFaçades project that is funded by the Research Council of Norway under the fourth joint call of the European WoodWisdomNet research programme. ; acceptedVersion
A probabilistic-based methodology for predicting mould growth in façade constructions
Gradeci, Klodian (author) / Labonnote, Nathalie (author) / Time, Berit (author) / Kohler, Jochen (author)
2017-01-01
cristin:1518686
33-45 ; 128 ; Building and Environment
Article (Journal)
Electronic Resource
English
DDC:
690
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