Mathematical mould growth models attempt to quantify either the amount of moulds on the
surface or the probability of presence of moulds for environmental conditions and material
parameters. There is a lack of reliable good-quality mould growth experiments. Consequently,
there is a lack of systematic comparison between models and experiments. This project will
develop logistic mould growth models. The models will be compared with new experiments
performed with solid wood and synthetic growing media prepared based on nutrients extracted
from pine sapwood. Mould growth on specimens exposed to steady and changing boundary
conditions will be investigated. Laboratory experiments will be complemented by an in-situ
experiment to obtain mould growth data from real-scale internally insulated masonry. The
project will result in the improvement of mathematical formulation, optimization of input
parameters and quantification of the uncertainty of logistic mould growth models.