Risk analysis and acceptability criteria

Guarascio, Massimo; Lombardi, Mara; Rossi, Giuliano; Sciarra, Giulio

doi:10.2495/safe070131

Cited by 20 publications

(20 citation statements)

References 1 publication

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“…In this section is conducted the Fault Tree Analysis (Guarascio et al, 2007) of the Top Event identified by the previous HazOp: gaseous Argon release in Hall A.…”

Section: Fault Tree Analysis-ftamentioning

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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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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“…In this section is conducted the Fault Tree Analysis (Guarascio et al, 2007) of the Top Event identified by the previous HazOp: gaseous Argon release in Hall A.…”

Section: Fault Tree Analysis-ftamentioning

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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“…Instead, a probabilistic approach allows one to have precise indications on the uncertainty of the calculation parameters and to obtain results associated to the requested level of reliability (Lü and Low, 2011;Fellin et al, 2010;Oreste, 2005b;Kalamaras, 1997;Guarascio et al, 2007a;2007b;2013;Lombardi et al, 2013). In other words, the probabilistic approach is able to deal with the in situ uncertainty of the calculation parameters and of the obtained results in a rational way.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Tunnel-Support Interaction Through a Probabilistic Approach

Oreste¹

2015

American Journal of Applied Sciences

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The analysis of the behavior of a tunnel requires the evaluation of numerous parameters, relative to the ground and the support structure and which are generally only known with a certain degree of approximation. The uncertainty of these parameters is reflected on the results of the calculation, that is, on the state of stress in the support structure. In order to be able to manage this uncertainty on the representative ground and support structure parameters in a rational way, it is useful to resort to a probabilistic type analysis, making use of the MonteCarlo method and to simple analytical methods for an analysis of the tunnel-support structure interaction. A calculation procedure of probabilistic type that is able to establish representative values of the maximum moment and of the associated normal force in the support structure is presented in this study. This procedure can be used to verify the suitability of the support structure to sustain the induced loads.

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“…Many authors wrote about this subject [17]. Guarascio et al studied the ethical meaning of indicators [22]. The IR has an ethical aspect related to the right of safety for the citizen-user [23].…”

Section: Quantitative Risk Analysis (Qra)mentioning

confidence: 99%

Consistency and stability of risk indicators: The case of road infrastructures

Rossi¹,

Lombardi²,

Mascio³

2018

Int. J. SAFE

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Over the last decade, the World Road Association -PIARC and several European research projects, among which Ecoroads, have encouraged a promising reflection on risk analysis methods, acceptance criteria and safety practices applied to the road system. The goal of this research activity is the definition of best practice for safety analysis and management to be applied to network TERN (Trans European Road Network).Quantitative Risk Analysis (QRA) provides much information on safety management. Nevertheless, the potential fragility of the method, stochastic uncertainties (both parameters and models), and ethical aspect of criteria must be adequately analyzed. This paper focuses on all these aspects, assessing the reliability of QRA due to modeling errors and statistical errors, and assessing the statistical consistency of Risk Indicators of QRA.

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Risk analysis and acceptability criteria

Abstract: The basic concepts and tools for the Quantitative Probabilistic Risk Analysis are presented.The rationale of the risk acceptability criteria is discussed in the case of rail tunnel safety in Italy.

Cited by 20 publications

References 1 publication

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

Analysis of the Tunnel-Support Interaction Through a Probabilistic Approach

Consistency and stability of risk indicators: The case of road infrastructures

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