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Neural Networks To Predict The Hygrothermal Response Of Building Components In A Probabilistic Framework, Astrid Tijskens, Staf Roels, Hans Janssen
Neural Networks To Predict The Hygrothermal Response Of Building Components In A Probabilistic Framework, Astrid Tijskens, Staf Roels, Hans Janssen
International Building Physics Conference 2018
In recent years, probabilistic assessment of hygrothermal performance of building components has received increasing attention. Given the many uncertainties involved in the hygrothermal behaviour of building components, a probabilistic assessment enables to assess the damage risk more reliably. However, this typically involves thousands of simulations, which easily becomes computationally inhibitive. To overcome this time-efficiency issue, this paper proposes the use of much faster metamodels. This paper focusses on neural networks, as they have proven to be successful in other non-linear and non-stationary research applications. Two types of networks are considered: the traditional multilayer perceptron (with and without a time window) …
Experimental Investigations Of Wooden Beam Ends In Masonry With Internal Insulation: Results Contrasting Three Years Of The Experiment, Pavel Kopecký, Kamil Staněk, Michal Bureš, Jan Richter, Jan Tywoniak
Experimental Investigations Of Wooden Beam Ends In Masonry With Internal Insulation: Results Contrasting Three Years Of The Experiment, Pavel Kopecký, Kamil Staněk, Michal Bureš, Jan Richter, Jan Tywoniak
International Building Physics Conference 2018
This paper deals with hygro-thermal performance of wooden beam ends embedded in masonry walls with lime-cement plaster applied on the external side. Three different insulation systems are attached on the internal side of masonry. The real scale experiment has been monitored for three consecutive years. Microclimatic conditions in joist pockets were assessed by VTT mold growth index. The paper shows the influence of two changes of boundary conditions on the microclimate in joist pockets. First, moisture load on the internal side of building enclosure was increased (24 °C, 60 % in winter 2016/2017 instead 20 °C, 50 % in winter …