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AAMKS —Integrated cloud‐based application for probabilistic fire risk assessment
Author(s) -
Krasuski Adam,
Hostikka Simo
Publication year - 2021
Publication title -
fire and materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 58
eISSN - 1099-1018
pISSN - 0308-0501
DOI - 10.1002/fam.2861
Subject(s) - cloud computing , scalability , probabilistic logic , computer science , fire safety , risk analysis (engineering) , fire protection engineering , systems engineering , engineering , database , architectural engineering , artificial intelligence , operating system , medicine
Summary Available models of fire risk assessment can still hardly be used for practical engineering problems. They are mostly loosely integrated, complex, computationally demanding applications, and require additional pre‐ or post‐hand‐calculations. However, the latest achievements in computer science enable establishing an easy‐to‐use web‐application with access to enormous computing power in a cloud requiring minimal management effort. In this article, we present a new tool for probabilistic fire risk assessment called Aamks. Our goal is to build an easy‐to‐use, science‐based, practical engineering tool to support building design in day‐to‐day work. To meet the overall goal, we aim at working out an integrated, web‐based application with computational efficiency and scalability allowed by cloud computing. Aamks performs a stochastic analysis of life safety in building fires using deterministic models for fire and evacuation and stochastic sampling of the uncertain input parameters.