A Method of Analysis Integrating HCR and ETA Modeling for Determining Risks Associated with Inadequate Flight Separation Events

The aim of this study is the risk analysis evaluation about argon release from the GERDA experiment in the Gran Sasso underground National Laboratories (LNGS) of the Italian National Institute for Nuclear Physics (INFN).The GERDA apparatus, located in Hall A of the LNGS, is a facility with germanium detectors located in a wide tank filled with about 70 m 3 of cold liquefied argon. This cryo-tank sits in another water-filled tank (700 m 3 ) at atmospheric pressure. In such cryogenic processes, the main cause of an accidental scenario is lacking insulation of the cryo-tank.A preliminary HazOp analysis has been carried out on the whole system. The risk assessment identified two possible top-events: explosion due to a Rapid Phase Transition -RPT and argon runaway evaporation.Risk analysis highlighted a higher probability of occurrence of the latter top event. To avoid emission in Hall A, the HazOp, Fault Tree and Event tree analyses of the cryogenic gas extraction and ventilation plant have been made. The failures related to the ventilation system are the main cause responsible for the occurrence. To improve the system reliability some corrective actions were proposed: the use of UPS and the upgrade of damper opening devices. Furthermore, the Human Reliability Analysis identified some operating and management improvements: action procedure optimization, alert warnings and staff training.The proposed model integrates the existing analysis techniques by applying the results to an atypical work environment and there are useful suggestions for improving the system reliability.

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“…Based on the result of this back analysis a lot of control procedures are necessary in order to decrease failure occurrences (Sun et al, 2011).…”

Section: Resultsmentioning

confidence: 99%

Risk analysis and reliability of the GERDA Experiment extraction and ventilation plant at Gran Sasso mountain underground laboratory of Italian National Institute for Nuclear Physics

et al. 2017

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“…These methods are similar to our study in terms of integrating an alternative method to ETA. However, Sun et al [18] integrate Human Cognitive Reliability (HCR) and ETA to decrease risk degrees in aviation industry. Alileche et al [39] considered domino effect in FTA for the process industry.…”

Section: Discussion and Evaluationmentioning

confidence: 99%

“…Therefore, the method employed contributes to both the risk analysis literature and the related industry. In addition, the study is different from other risk analysis studies in literature [16][17][18][19][20] since it integrates two different risk analysis methods and provides in-depth analysis of marble industry.…”

Section: Introductionmentioning

confidence: 98%

Integration of risk matrix and event tree analysis: a natural stone plant case

et al. 2017

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Machining has considerably increased with evolving technology and increasing demand in natural stone production facilities. Different types of accidents may occur in natural stone facilities during movement, dimensioning, cutting of blocks and surface processing. These accidents may be due to physical, chemical, ergonomic and mechanical conditions. Therefore, possible work accidents and occupational diseases should be investigated. In this study, an L-matrix analysis is conducted to analyze hazards and forecast risks in natural stone facilities. According to the L-matrix results, three major initiating events are identified. For each of these initiating events, event tree analysis is used to calculate risk scores. These initiating events are hoist rope fatigue and breaking, diamond wire fatigue and breaking, and electrical leakage due to old systems. These events and their results are classified according to the probabilities using event tree analysis.

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“…Probability values, resulting from the application of the model "CoCoM", were normalized according to a qualitative approach (likelihood of omission or deviation): Each considered event, that is represent in the Ishikawa's diagram, was evaluated according to a range of probability (Table 1) and dependence on the previous knots (Sun et al, 2011).…”

Section: Resultsmentioning

confidence: 99%

The Management of Uncertainty: Model for Evaluation of Human Error Probability in Railway System

Lombardi¹

2014

American Journal of Applied Sciences

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The methodology of quantitative risk assessment in use in the railway industry refers the RAMS approach, as expected in EN 50126, to define the failure of the system. From the probability of failure follows the evaluation of the failure consequence, the check of the accident occurrence and finally, the analysis of the achievable accident scenarios to quantify the damage as result thereof. In this approach, the central concept is the failure phenomenon, i.e., the deviation of the proper performance of a function by a system component. The case-study is referred to the maintenance procedure, necessary to ensure safe use of the railway infrastructure. The homogeneous treatment of human behaviour in the proposed risk model involves the definition of the function of reliability (or failure) of "human component" since the maintenance procedure of railway system shows a high probability of human error. The paper analyzes a series of control checks for back analysis testing of accident occurrences and highlights the opportunity to perform quantitative risk analysis comparing alternative designs of railway system by analogical analysis methods. In this analysis the evaluation of human error according to combined techniques of risk analysis and Ishikawa's theory is relevant because in the railway industry organized procedures of good practice usually have been employed.

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A Method of Analysis Integrating HCR and ETA Modeling for Determining Risks Associated with Inadequate Flight Separation Events

Cited by 10 publications

References 9 publications

Risk analysis and reliability of the GERDA Experiment extraction and ventilation plant at Gran Sasso mountain underground laboratory of Italian National Institute for Nuclear Physics

Risk analysis and reliability of the GERDA Experiment extraction and ventilation plant at Gran Sasso mountain underground laboratory of Italian National Institute for Nuclear Physics

Integration of risk matrix and event tree analysis: a natural stone plant case

The Management of Uncertainty: Model for Evaluation of Human Error Probability in Railway System

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