Abstract
Due to the raising of building thermal performance requirements by energy regulations, there has been an increase of thermal insulation thickness in ETICS (External Thermal Insulation Composite Systems). The configuration of these multilayered walls has unfortunately promoted the risk of growth of biological organisms on the outer side of the façade.
There are many tools to be used for predicting biological growth risk but they are either too complex to be used or unreliable. The aim of the research work is to provide building designer an easy, but reliable, tool (a probabilistic neural network) to compute the probability of biological colonization on the external surface of ETICS.
The primary step consists in the formulation of a risk index, based on both technological and climatic parameters, which provides the growth probability of biological agents in different climate conditions when using different materials for ETICS.
The next step is to create, and to verify, a neural network to compute the risk index. To optimize neural net predictions a large dataset has to be created with parameters as inputs and the risk index quantified through numerical simulations as outputs.
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© 2014 Springer International Publishing Switzerland
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Re-Cecconi, F., Pergola, G., Redaelli, A. (2014). Estimation of the Probability of Biological Colonization on Etics. In: Llinares-Millán, C., et al. Construction and Building Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7790-3_21
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DOI: https://doi.org/10.1007/978-94-007-7790-3_21
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