scholarly journals Aspects regarding explosion risk assessment

2017 ◽  
Vol 121 ◽  
pp. 11016
Author(s):  
Mihaela Părăian ◽  
Sorin Burian ◽  
Mihai Magyari ◽  
Lucian Moldovan
Keyword(s):  
Risk Assessment ◽  
Explosion Risk

scholarly journals Explosion risk assessment model for underground mine atmosphere

2016 ◽  
Vol 35 (1) ◽  
pp. 21-35 ◽  
Author(s):  
Jianwei Cheng ◽  
Xixi Zhang ◽  
Apurna Ghosh
Keyword(s):  
Risk Assessment ◽  
Risk Mitigation ◽  
Influence Factors ◽  
Safety Margin ◽  
Mining Industry ◽  
Critical Time ◽  
Underground Mine ◽  
Time Span ◽  
Assessment Model ◽  
Explosion Risk

In the coal mining industry, explosions or mine fires present the most hazardous safety threats for coal miners or mine rescue members. Hence, the determination of the mine atmosphere explosibility and its evolution are critical for the success of mine rescues or controlling the severity of a mine accident. However, although there are numbers of methods which can be used to identify the explosibility, none of them could well indicate the change to the explosion risk time evolution. The reason is that the underground sealed atmospheric compositions are so complicated and their dynamical changes are also affected by various influence factors. There is no one method that could well handle all such considerations. Therefore, accurately knowing the mine atmospheric status is still a complicated problem for mining engineers. Method of analyzing the explosion safety margin for an underground sealed atmosphere is urgently desired. This article is going to propose a series of theoretical explosion risk assessment models to fully analyze the evolution of explosion risk in an underground mine atmosphere. Models are based on characteristics of the Coward explosibility diagram with combining mathematical analyzing approaches to address following problems: (1) for an “not-explosive” atmosphere, judging the evolution of explosion risk and estimating the change-of-state time span from “not-explosive” to “explosive” and (2) for an “explosive” atmosphere, estimating the “critical” time span of moving out of explosive zone and stating the best risk mitigation strategy. Such research efforts could not only help mine operators understand the explosibility risk of a sealed mine atmosphere but also provide a useful tool to wisely control explosive atmosphere away from any dangers. In order to demonstrate research findings, case studies for derived models are shown and are also used to instruct readers how to apply them. The results provide useful information for effectively controlling an explosive underground sealed atmosphere.

Fire and explosion risk assessment for large-scale oil export terminal

2007 ◽  
Vol 20 (4-6) ◽  
pp. 651-658 ◽  
Author(s):  
Yu.N. Shebeko ◽  
I.A. Bolodian ◽  
V.P. Molchanov ◽  
Yu.I. Deshevih ◽  
D.M. Gordienko ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Large Scale ◽  
Oil Export ◽  
Fire And Explosion ◽  
Explosion Risk

Assessing the Explosion Risk of Plants for Dusty, Granular and Combustible Products Example of a Risk Assessment Procedure for a Fluid Bed Spray Granulator

2012 ◽  
Vol 508 ◽  
pp. 101-105
Author(s):  
Siegfried Radandt
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Assessment Procedure ◽  
Fluid Bed ◽  
Internal Context ◽  
Explosion Risk

Risk management is specific to the organization and its external and internal context. In this paper risk management and some concepts focusing specifically on such plants for dusty, granular and combustible products were introduced. Some examples were presented here for practical uses, which can be applied in dusty and complicated surroundings.

Application of fuzzy logic to explosion risk assessment

2011 ◽  
Vol 24 (6) ◽  
pp. 780-790 ◽  
Author(s):  
Adam S. Markowski ◽  
M. Sam Mannan ◽  
Agata Kotynia ◽  
Henryk Pawlak
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Explosion Risk

scholarly journals A Critical Review of the Equivalent Stoichiometric Cloud Model Q9 in Gas Explosion Modelling

Eng ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 156-180
Author(s):  
Vincent Tam ◽  
Felicia Tan ◽  
Chris Savvides
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Large Scale ◽  
Cloud Model ◽  
Real Life ◽  
Published Data ◽  
Gas Explosion ◽  
Full Account ◽  
Evaluation Protocol ◽  
Explosion Risk

Q9 is widely used in industries handling flammable fluids and is central to explosion risk assessment (ERA). Q9 transforms complex flammable clouds from pressurised releases to simple cuboids with uniform stoichiometric concentration, drastically reducing the time and resources needed by ERAs. Q9 is commonly believed in the industry to be conservative but two studies on Q9 gave conflicting conclusions. This efficacy issue is important as impacts of Q9 have real life consequences, such as inadequate engineering design and risk management, risk underestimation, etc. This paper reviews published data and described additional assessment on Q9 using the large-scale experimental dataset from Blast and Fire for Topside Structure joint industry (BFTSS) Phase 3B project which was designed to address this type of scenario. The results in this paper showed that Q9 systematically underpredicts this dataset. Following recognised model evaluation protocol would have avoided confusion and misinterpretation in previous studies. It is recommended that the modelling concept of Equivalent Stoichiometric Cloud behind Q9 should be put on a sound scientific footing. Meanwhile, Q9 should be used with caution; users should take full account of its bias and variance.

scholarly journals Development of Fire and Explosion Risk Assessment on Coal Reclaim Tunnel Using Monte Carlo Simulation and Risk Matrix Method

2021 ◽  
Author(s):  
Nuhindro Priagung Widodo ◽  
Dimas Agung Permadi ◽  
Ahmad Ihsan ◽  
Ginting Jalu Kusuma
Keyword(s):  
Risk Assessment ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Risk Group ◽  
Distribution Model ◽  
Risk Matrix ◽  
Moderate Risk ◽  
Controllable Factors ◽  
Fire And Explosion ◽  
Explosion Risk

The comprehensive fire and explosion risk assessment has been studied for Coal Reclaim Tunnel (CRT) facility by applying the Monte Carlo simulation method. In this research, the fire and explosion risk of two existing CRT, namely model A and model B, have been assessed. A set of 30 data for each factor has been used to define the statistical distribution model, sourced from historical data, field measurement, and laboratory experiments. Based on the simulation, CRT model A has a 100% extreme risk group, while model B has two risk groups, high risk=81.73% and moderate risk=18.27%, classified as a not acceptable risk. Several preventive actions were set to reduce the probability and severity level as low as reasonably possible, especially for the controllable factors. Furthermore, the probability and severity levels were re-adjusted by the Monte Carlo simulation. The result shows that both the CRT model have been grouped into a 100% moderate-risk group. For optimal prevention against explosion risk, a sensitivity analysis has been carried out to find the most influential factors for the fire and explosion risk in CRT. Through this research, a method for risk matrix assessment related to the fire and explosion in the CRT facility has been developed.

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