Abstract
Few studies have assessed the safety issues involved in decommissioning nuclear facilities, especially from a structural and job perspective; in most developed countries, the focus is generally on the radiological risks. This study highlights the inadequacy of existing deterministic risk assessment methods, which cannot account for the uncertainty and complexity of hazards that workers are exposed to. We instead propose a fuzzy logic based safety assessment model that can analyze and compare alternatives utilizing a step-by-step risk quantification and multidimensional approach. This enables personnel to assess the various risks involved when decontaminating and decommissioning nuclear power plant structures that cannot be quantitatively assessed owing to a lack of data. Our proposed fuzzy based risk assessment model can also be applied to risk assessment in other engineering fields that depend on the judgment of experts supported by little or no statistical data.
Highlights
IntroductionFor old nuclear power plants operating for more than 30 years, decisions on decommissioning can be made at any time for political and economic reasons
Of the 438 nuclear power plants in operation worldwide, 224 have been operating for more than30 years
The objective of this study was to develop a structural risk assessment model that is suitable for both the decontamination and decommissioning of nuclear power plants
Summary
For old nuclear power plants operating for more than 30 years, decisions on decommissioning can be made at any time for political and economic reasons. The primary objective of a decommissioning plan is the removal of the radiological and non-radiological hazards associated with the operation of a nuclear facility or system. This allows the facility to be released from regulatory control and protects the workers, the general public, and the environment during the process [2]. The process of decommissioning nuclear facilities can be largely divided into three stages: preliminary preparation, decommissioning, and post-recovery
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