AAMKS—Integrated cloud‐based application for probabilistic fire risk assessment

Abstract

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 webapplication 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.

Risk-aware decision making in the safety investments - Application of stochastic simulations and judgment value method

“…The purpose of the multisimulation is the quantification of the life safety level of people in buildings in the context of the fire safety design. The approach was implemented as a web-based application calculated on a cloud called Aamks [33]. Aamks is open-source software which demo version is available on the web page: https://aamks.szach.in.…”

“…The latest achievements in computer science have also been used in the risk analysis domain [33]. The proposed Web application called Aamks is device-independent with heavy rendering processes left on the server-side.…”

“…There are currently three primary factors used for the calculation of consequences in Aamks: toxicity, heat, and traumatic injury. In the analysis, we used only the toxic injury model, which is based on the calculation of FED [63] and its further ranking [33] (probability of fatalities given FED in event tree). Figs.…”

“…It is most commonly expressed concerning the frequency distribution of multiple casualty events [19]. Aamks with an applied multi-agent microscopic simulator also allows the calculation of the FN risk curves [33].…”

The Ignition Frequency of Structural Fires in Australia from 2012 to 2019

“…While statistical data is generally scarce, it will be useful to have a correlation to aid the quick determination of fire ignition frequency for QPRA. The generalized Barrois model developed by Rahikainen et al [1,[4][5][6] based on fire statistics from Finland is commonly adopted by fire researchers [7][8][9][10][11][12]. However, it has been shown in some studies that the Barrois model tends to underestimate fire ignition when applied to various contexts [13,14].…”