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ADVANTAGES AND THE PERSPECTIVE OF TO THE SMALL-SCALE FIRE MODELLING

Janka Mullerova

First published: 2017-06-20https://doi.org/10.5593/sgem2017/51/s20.007View metrics

Abstract

Generally, there are 3 basic approaches to fire modelling. The oldest one is full scale modelling, than the small-scale modelling and finally PC simulation modelling such as FDS. If we compare the basic properties of these three approaches, we can compare following criteria. The most important is accuracy, relative costs, professional competence, time of preparation and very important is also the number of possible iterations within a short time period. The highest accuracy still belongs to full-scale models. Full-scale modelling is very often used to get the input data for PC modelling. The realistic accuracy is the biggest advantage. The future belongs to the PC modelling known. But the accuracy is questionable. There are many simplifications and many approximations included in the software. The accuracy depends on the quality of input data. The output of the model can be accurate only with the high quality inputs. That is the reason why PC software need data of real full scale experiments. Many data and many realistic measurements are needed. But full scale modelling is very slow. Full-scale models take too much time for their realisation. Especially models of entire buildings are very rare. Therefore there is the place for small-scale modelling. It enables much more iterations at the same time comparing to the full-scale experiments. Its accuracy is comparable to full-scale modelling. The biggest advantage is the price for experiment reflecting much shorter preparation time. It enables more iterations in various conditions. Afterwards, the output data might be used in the PC modelling.

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Publication details

Title
ADVANTAGES AND THE PERSPECTIVE OF TO THE SMALL-SCALE FIRE MODELLING
Authors
Janka Mullerova
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2017
Pages
47-52
SWS Citekey
Mullerova2017204752
ISSN
1314-2704
ISBN
978-619-7408-08-9
Language
en
Publication type
Conference Paper
Keywords
fire modellingsmall-scale experimentsfull-scale modelsoftware modellingcomparisonflashover
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