A probabilistic-based methodology for predicting mould growth in façade constructions

Abstract Predicting mould growth on facade 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 facade 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 facade performance that can facilitate reliability-based design and optimisation of facade construction.

[1]  Staf Roels,et al.  Review of mould prediction models and their influence on mould risk evaluation , 2012 .

[2]  Sven Thelandersson,et al.  Mould resistance design (MRD) model for evaluation of risk for microbial growth under varying climate conditions , 2013 .

[3]  Jochen Köhler,et al.  Mould Models Applicable to Wood-Based Materials – A Generic Framework , 2017 .

[4]  Angel R. Martinez,et al.  Computational Statistics Handbook with MATLAB , 2001 .

[5]  Stig Geving.  Hygrothermal Analysis of Building Structures Using Computer Models , 2000 .

[6]  U Haverinen-Shaughnessy,et al.  Occurrence of moisture problems in schools in three countries from different climatic regions of Europe based on questionnaires and building inspections - the HITEA study. , 2012, Indoor air.

[7]  Stephan Ott,et al.  Consideration of disturbances and deficiencies in the moisture safety design of tall timber facades , 2016 .

[8]  Angela Sasic Kalagasidis,et al.  Moisture safe cold attics - Assessment based on risk analyses of performance and cost , 2014 .

[9]  Carolina Flink.  Utvärdering av m-modellen i jämförelse med andra mögelriskmodeller , 2012 .

[10]  John Boland,et al.  Generation of synthetic sequences of half‐hourly temperature , 2008 .

[11]  D Norbäck,et al.  Prevalence and incidence of respiratory symptoms in relation to indoor dampness: the RHINE study , 2006, Thorax.

[12]  Pernilla Johansson,et al.  Critical conditions for onset of mould growth under varying climate conditions , 2010 .

[13]  Pernilla Johansson,et al.  Validation of critical moisture conditions for mould growth on building materials , 2013 .

[14]  Disease Prevention,et al.  Damp Indoor Spaces and Health , 2004 .

[15]  Yuji Imamura,et al.  Changes in surface properties of tropical wood species exposed to the Indonesian climate in relation to mold colonies , 2004, Journal of Wood Science.

[16]  Daniel Zirkelbach,et al.  Mold Risk Classification Based on Comparative Evaluation of Two Established Growth Models , 2015 .

[17]  Henry L. Gray,et al.  Global warming and the problem of testing for trend in time series data , 1993 .

[18]  T. Ojanen,et al.  Improved model to predict mould growth in building materials , 2007 .

[19]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1971 .

[20]  H. Viitanen,et al.  Modelling the Time Factor in the Development of Mould Fungi - the Effect of Critical Humidity and Temperature Conditions on Pine and Spruce Sapwood , 1997 .

[21]  H. Viitanen.  Critical conditions for mould and decay resistance of wood. , 2010 .

[22]  Jochen Köhler,et al.  Mould growth criteria and design avoidance approaches in wood-based materials – A systematic review , 2017 .

[23]  O. C. G. Adan,et al.  Fundamentals of mold growth in indoor environments and strategies for healthy living , 2011 .

[24]  Krystyna Pietrzyk,et al.  A systemic approach to moisture problems in buildings for mould safety modelling , 2015 .

[25]  Jochen Köhler,et al.  A probabilistic-based approach for predicting mould growth in timber building envelopes: Comparison of three mould models , 2017 .

[26]  H. Viitanen,et al.  Mould growth on wood under fluctuating humidity conditions , 1994 .

[27]  Z. Sadovský,et al.  Probabilistic modelling of mould growth in buildings , 2014 .

[28]  Fraunhofer-Institut für Bauphysik,et al.  Simultaneous heat and moisture transport in building components: One- and two-dimensional calculation using simple parameters , 1995 .

[29]  Ruut Hannele Peuhkuri,et al.  Mold growth modeling of building structures using sensitivity classes of materials , 2010 .

[30]  Stig Geving,et al.  Moisture risk in prefabricated wooden wall elements (TES-elements) with a vapour retarder of OSB/3 , 2013 .

[31]  Gunilla Bok,et al.  The effect of cyclic moisture and temperature on mould growth on wood compared to steady state conditions , 2013 .

[32]  Angela Sasic Kalagasidis,et al.  Assessment of hygrothermal performance and mould growth risk in ventilated attics in respect to possible climate changes in Sweden , 2012 .

[33]  W J Fisk,et al.  Public health and economic impact of dampness and mold. , 2007, Indoor air.

[34]  H. Viitanen,et al.  A mathematical model of mould growth on wooden material , 1999, Wood Science and Technology.

[35]  Klaus Sedlbauer,et al.  Prediction of Mould Growth by Hygrothermal Calculation , 2002 .

[36]  Sven Thelandersson,et al.  Probabilistic methods for perfromance based service life evaluation of wooden components , 2011 .

[37]  Staf Roels,et al.  Towards a more thoughtful use of mould prediction models: A critical view on experimental mould growth research , 2015 .

[38]  A. Ritschkoff,et al.  Mould growth in pine and spruce sapwood in relation to air humidity and temperature , 1991 .