Development of a smoke prediction model using numerical simulations

Autor:	N.S. Suhaimi, Abdullah Bin Ibrahim, Sa'ari Mustapha, Nor Mariah Adam, Mohd Rafee Baharuddin
Rok vydání:	2021
Předmět:	Smoke Fire test Computer science General Engineering Fire experiment Fire safety computer.software_genre computer Software Computer Science Applications Marine engineering Mathematical correlation Simulation software
Zdroj:	International Journal of Computer Aided Engineering and Technology. 14:477
ISSN:	1757-2665 1757-2657
DOI:	10.1504/ijcaet.2021.10037110
Popis:	Conducting a full-scale fire test is the best way to acquire information regarding smoke and fire conditions for the purpose of fire safety protection and prevention installation. However, a full-scale fire experiment is expensive, time consuming and unrepeatable due to the unstable nature of fire. The main goal of this study was to develop a quantitative tool to analyse the smoke temperature in a stairway by utilising a fire dynamic simulator software. A result of this study provides mathematical correlation that could predict temperatures in adjacent vertical shafts used as a stairway which is useful in performance based design. The smoke temperature predicted using the developed model compared with numerical data showed errors less than 30% were considered satisfactory and the equation considered acceptable for this study.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::91508fc8fec08b8e5c02454b47d6a0e6 https://doi.org/10.1504/ijcaet.2021.10037110 Zobrazit plný text záznamu