A hybrid approach based on the HFACS-FBN for identifying and analysing human factors for fire and explosion accidents in the laboratory

2021 ◽  
pp. 104675
Author(s):  
Laihao Ma ◽  
Xiaoxue Ma ◽  
Pengfei Xing ◽  
Fanyong Yu
Keyword(s):  
Human Factors ◽  
Hybrid Approach ◽  
Fire And Explosion ◽  
Explosion Accidents

Human factors of fire and explosion accidents in petrochemical enterprises

2019 ◽  
Vol 38 (4) ◽  
Author(s):  
Mengmeng Chen ◽  
Kai Wang ◽  
Haijun Guo ◽  
Yingfeng Yuan
Keyword(s):  
Human Factors ◽  
Fire And Explosion ◽  
Explosion Accidents

scholarly journals Kitchen Range Fires and Explosions: Usability Versus Safety

2019 ◽  
Vol 63 (1) ◽  
pp. 568-572
Author(s):  
Jay Pollack
Keyword(s):  
Human Factors ◽  
Control Design ◽  
National Standards ◽  
Safe Operation ◽  
Fire And Explosion

Fires and explosions often result from inadvertent actuation of kitchen range appliances. National Standards, such as ANSI Z21.1 and ANSI/UL858, provide guidance on the design of kitchen range controls to ensure the safe operation of these appliances. This work examines residential gas ranges as investigations of fire and explosion incidents often determine that there was no line leakage of gas and the leaked gas likely resulted from inadvertent contact with the range’s controls. A human factors investigation was conducted to determine under what conditions consumers (or their pets) could inadvertently open a closed gas range valve that was designed in a manner that met the requirements of applicable national standards. The investigation revealed that the range controls met the letter of the standard, but the safety intent of the standard was not met. Safety is sacrificed to afford usability. The control design is defective.

Cost Optimizations of Gas Detector Systems

2004 ◽  
Author(s):  
Asmund Huser ◽  
Luiz Fernando Oliveira ◽  
Joar Dalheim
Keyword(s):  
Detection System ◽  
Optimal Number ◽  
Cfd Simulations ◽  
Gas Detectors ◽  
Process Plant ◽  
Gas Detector ◽  
Computational Fluid Dynamics Cfd ◽  
Fire And Explosion ◽  
Explosion Accidents ◽  
Risk Reducing

An improved procedure for optimization of flammable gas detector systems in process plant modules is presented in the paper. The main features of the new procedure are that it uses a detailed explosion Quantitative Risk Analysis (QRA) model to obtain the risk reducing effects of applying more gas detectors; and it uses detailed transient Computational Fluid Dynamics (CFD) simulations to assess the most effective locations of the gas detectors. This results in a cost optimized solution which gives the minimum fire and explosion risk, at the lowest cost. A field example is included where it is indicated that with the optimal number of gas detectors, the total costs of fire and explosion accidents are reduced by 18% compared to having no gas detection system at all.

Analytical Study on Fire and Explosion Accidents Assumed in HTGR Hydrogen Production System

2004 ◽  
Vol 146 (1) ◽  
pp. 49-57 ◽  
Author(s):  
Yoshitomo Inaba ◽  
Tetsuo Nishihara ◽  
Yoshikazu Nitta
Keyword(s):  
Hydrogen Production ◽  
Production System ◽  
Analytical Study ◽  
Fire And Explosion ◽  
Explosion Accidents

Risk assessment for fire and explosion accidents of steel oil tanks using improved AHP based on FTA

2015 ◽  
Vol 35 (3) ◽  
pp. 260-269 ◽  
Author(s):  
Miao Zhang ◽  
Wenhua Song ◽  
Zhen Chen ◽  
Ji Wang
Keyword(s):  
Risk Assessment ◽  
Fire And Explosion ◽  
Explosion Accidents ◽  
Oil Tanks

scholarly journals Fire and explosion analysis of filling station based on fuzzy mathematics and Bayesian network model

2021 ◽  
Vol 261 ◽  
pp. 03055
Author(s):  
Kezhen Chen ◽  
Jihong Ye ◽  
Xiaofeng Zhang ◽  
Qingqing Lv
Keyword(s):  
Bayesian Network ◽  
Risk Model ◽  
Fault Tree ◽  
Fuzzy Mathematics ◽  
Compressed Natural Gas ◽  
Filling Station ◽  
Fire And Explosion ◽  
Accurate Probability ◽  
Explosion Accidents ◽  
Network Risk

In order to explore the basic events and risk occurrence probability of fire and explosion accidents in CNG (Compressed Natural Gas) filling station, a corresponding Bayesian network risk model was established based on the fault tree of filling station. The prior probability was modified by introducing fuzzy mathematics in the process of transforming the fault tree into Bayesian network, and the posterior probability of the basic events of CNG filling station fire and explosion accidents was analyzed and calculated by GeNIe software. Finally, through case analysis, it is found out that the most dangerous factors that lead to the greatest risk of fire and explosion accidents in a filling station are: personnel misoperation, management defects, etc. After verifying the model, it shows that paying attention to the polymorphism of the base events and determining the rationality of the logical relationship between the base events can calculate the more accurate probability distribution of the base events, and at the same time provide reasonable suggestions for the accident prevention of the gas filling station.

Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities

2018 ◽  
Vol 57 (11) ◽  
pp. 3990-4006 ◽  
Author(s):  
Jie Ji ◽  
Qi Tong ◽  
Faisal Khan ◽  
Mohammad Dadashzadeh ◽  
Rouzbeh Abbassi
Keyword(s):  
Domino Effect ◽  
Effect Analysis ◽  
Fire And Explosion ◽  
Explosion Accidents

scholarly journals A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Xia-Zhong Zheng ◽  
Fei Wang ◽  
Jian-Lan Zhou
Keyword(s):  
High Risk ◽  
Human Factors ◽  
Evaluation System ◽  
Hybrid Approach ◽  
Evidence Theory ◽  
Safety Evaluation ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Value Determination

Hydropower project construction is a high-risk operation, where accidents occur frequently. Moreover, the factors leading to accidents are often human factors, so safety evaluation of these factors for the hydropower projects’ work system is very significant. The Human Factors Analysis and Classification System (HFACS) framework is applied to build evaluation system. In the evaluation process, correlation analysis is used to form the intercriteria analysis matrix that helps the decision makers to build impact relation matrix. Factor weights are calculated by the Analytic Network Process (ANP). In the index value determination step, the evidence theory is used to eliminate the conflicts of three decision makers and the index values are then calculated. The faulty behavior risk (FBR) assessment value is finally obtained. The proposed method is practical and its applicability is proved by an example.

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