scholarly journals Fire Spread Risk Assessment Process for Radiant Heat Flux of Flame Ejected from Opening in Fire

2021 ◽  
Vol 35 (6) ◽  
pp. 8-14
Author(s):  
Yi-Chul Shin ◽  
Soo-Young Park ◽  
Kye-Won Park ◽  
Dong-Ho Choi ◽  
Gil-Yong Lee ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Large Scale ◽  
Evaluation Process ◽  
Radiant Heat ◽  
Fire Spread ◽  
Assessment Process ◽  
Radiant Heat Flux ◽  
Risk Assessment Process ◽  
Fire Spreading ◽  
In Fire

When a flashover occurs from a fire in a building compartment, the fire intensifies explosively and changes from a fuel-controlled fire to a ventilation-controlled fire. As a result, flames and unburnt gas are ejected from openings. The ejected unburned gas reacts violently with external oxygen to form a large-scale ejected flame, which causes the fire to expand to the upper layer. Moreover, the radiation of extreme heat to neighboring buildings contributes to fire spreading between buildings. In this study, a quantitative evaluation process was established to evaluate the thermal effect of radiant heat generated from an open fire on the exterior materials of facilities, assuming a fully developed fire.

scholarly journals Using body mapping as part of the risk assessment process – a case study

2018 ◽  
Vol 16 (2) ◽  
pp. 224-240
Author(s):  
David Thomas ◽  
Billy Hare ◽  
Iain Cameron
Keyword(s):  
Risk Assessment ◽  
Assessment Process ◽  
Body Mapping ◽  
Risk Assessment Process

A methodology for e-banking risk assessment using fuzzy logic and Bayesian network

2021 ◽  
Vol 19 (3) ◽  
pp. 101-124
Author(s):  
Ako Rita Erhovwo ◽  
Okpako Abugor Ejaita ◽  
Duke Oghorodi
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Bayesian Network ◽  
Operational Risk ◽  
Assessment Process ◽  
Exposure Level ◽  
Model Assessment ◽  
Assessment Methodology ◽  
Risk Assessment Process ◽  
Risk Assessment Methodology

Risk assessment methodology in general has been around for quite a while, its prominence in the E-banking field is a fairly recent phenomenon. We are at the point where risk assessments are critical to the overall function of banks. Banks are required to assess the processes underlying their operations against potential threats, vulnerabilities, and their potential impact, which helps in revealing the risk exposure level, and the residual risks. Identifying clearly a risk assessment methodology is often the first step of assessing and evaluating risk associated with an organization operation. This paper presents a risk assessment methodology for Ebanking Operational Risk. The proposed risk assessment methodology consists of four major steps: a risk model, assessment approach, analysis approach and a risk assessment process. The main tool of the proposed risk assessment methodology is the risk assessment process. The assessment process gives detailed explanation with respect to which models or techniques may be applied and how they are expressed. In this paper the risk assessment technique is built upon fuzzy logic (FL) concept and Bayesian network (BN). In fuzzy logic, an element is included with a degree of membership. Bayesian network is an inference classifier that is capable of representing conditional independencies. The Bayesian and fuzzy logic–based risk assessment process gives good predictions for risk learning and inference in the E-banking systems. Keywords: Fuzzy logic, Bayesian network, risk assessment methodology, operational risk, Ebanking

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