Correction: A Probabilistic Risk Assessment Framework for the Path Planning of Safe Task-Aware UAS Operations

2019 ◽  
Author(s):  
Uluhan C. Kaya ◽  
Atilla Dogan ◽  
Manfred Huber
Keyword(s):  
Risk Assessment ◽  
Path Planning ◽  
Probabilistic Risk Assessment ◽  
Assessment Framework ◽  
Probabilistic Risk

A probabilistic risk assessment framework considering lane-changing behavior interaction

2020 ◽  
Vol 63 (9) ◽  
Author(s):  
Heye Huang ◽  
Jianqiang Wang ◽  
Cong Fei ◽  
Xunjia Zheng ◽  
Yibin Yang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Probabilistic Risk Assessment ◽  
Assessment Framework ◽  
Lane Changing ◽  
Probabilistic Risk

Global importance measure methodology for integrated probabilistic risk assessment

2019 ◽  
Vol 234 (2) ◽  
pp. 377-396
Author(s):  
Tatsuya Sakurahara ◽  
Seyed Reihani ◽  
Ernie Kee ◽  
Zahra Mohaghegh
Keyword(s):  
Risk Assessment ◽  
Failure Mechanisms ◽  
Probabilistic Risk Assessment ◽  
Importance Measure ◽  
Assessment Framework ◽  
Input Parameters ◽  
Measure Methods ◽  
System Risk ◽  
Importance Ranking ◽  
Probabilistic Risk

An integrated probabilistic risk assessment framework combines spatio-temporal probabilistic simulations of underlying failure mechanisms with classical probabilistic risk assessment logic consisting of event trees and fault trees. The importance measure methods commonly used in classical probabilistic risk assessment, for example, Fussell–Vesely importance measure and Risk Achievement Worth, generate the ranking of components at the basic event level utilizing the one-at-a-time and local methods. These classical importance measure methods, however, are not sufficient for integrated probabilistic risk assessment where, in addition to the component-level risk importance ranking, the ranking of risk-contributing factors (e.g. physical design parameters) associated with the underlying failure mechanisms is desired. In this research, the global importance measure method is suggested and implemented for the integrated probabilistic risk assessment framework. The global importance measure can account for four key aspects of integrated probabilistic risk assessment, including (a) ranking of input parameters at the failure mechanism level based on the contribution to the system risk metrics, (b) uncertainty of input parameters, (c) non-linearity and interactions among input parameters inside the model, and (d) uncertainty associated with the system risk estimates; therefore, it enhances the accuracy of risk importance ranking when the risk model has a high level of non-linearity, interactions, and uncertainties. This article shows (a) qualitative justifications for the selection of the global importance measure method for the integrated probabilistic risk assessment framework and (b) quantitative proof of concept using three case studies, including two illustrative fault tree examples and one practical application of the integrated probabilistic risk assessment framework for Generic Safety Issue 191 at nuclear power plants (a sump blockage issue following a loss-of-coolant accident).

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