Abstract
This paper presents the results of research aimed at identifying the degree of degradation of fibre-cement boards exposed to fire. The fibre-cement board samples were initially exposed to fire at various durations in the range of 1–15 min. The samples were then subjected to three-point bending and were investigated using the acoustic emission method. Artificial neural networks (ANNs) were employed to analyse the results yielded by the acoustic emission method. Fire was found to have a degrading effect on the fibres contained in the boards. As the length of exposure to fire increased, the fibres underwent gradual degradation, which was reflected in a decrease in the number of acoustic emission (AE) events recognised by the artificial neural networks as accompanying the breaking of the fibres during the three-point bending of the sample. It was shown that it is not sufficient to determine the degree of degradation of fibre-cement boards solely on the basis of bending strength (MOR).
Highlights
The fibre-cement board is a building material that has been used in construction since the beginning of the last century
Research carried out by the authors has shown that the identification of during which the acoustic emission (AE) was recorded, and the results were analysed by means of the degree of degradation of fibre-cement boards exposed to fire, based on only bending strength artificial neural networks
It should be noted that the effects of high temperatures on concrete, and the interdependences involved in this process, have been widely described using the acoustic emission method; examples are the works [24,25] by Ranachowski
Summary
The fibre-cement board is a building material that has been used in construction since the beginning of the last century. Fibre-cement boards are exposed to accidental operational factors, mainly the high temperature that a building fire generates. Experiments at identifying the degree of degradation of the fibres contained in fibre-cement After they had been exposed to fire, the board samples were subjected to three-point bending, boards under the high temperature generated by fire. Research carried out by the authors has shown that the identification of during which the acoustic emission (AE) was recorded, and the results were analysed by means of the degree of degradation of fibre-cement boards exposed to fire, based on only bending strength artificial neural networks. Under the continuing exposure to fire, the fibres in the boards would undergo gradual events identified as accompanying fibre breaking This phenomenon is described in more detail in degradation, this paper.
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