Severe Accident Analysis in Nuclear Power Plants

Severe Accident Risks: An Assessment for Five U.S. Nuclear Power Plants

This report summarizes an assessment of the risks from severe accidents in five commercial nuclear power plants in the United States. These risks are measured in a number of ways, including: the estimated frequencies of core damage accidents from internally initiated accidents and externally initiated accidents for two of the plants; the performance of containment structures under severe accide...

analysis of power in the network society

اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...

Diagnostic & Prognostic System for Identification of Accident Scenarios and Prediction of “Source Term” in Nuclear Power Plants under Accident Conditions

Nuclear power plant experiences a number of transients during its operations. These transients may be due to equipment failure, malfunctioning of process support systems etc. In such a situation, the plant may result in an abnormal state which is undesired. In case of such an undesired plant condition, the operator has to carry out diagnostic and corrective actions. When an event occurs startin...

Accident identi®cation in nuclear power plants using hidden Markov models

The identi®cation of the type of accident during the early stages of an accident in a nuclear power plant is crucial for the selection of the appropriate response actions. A plant accident can be identi®ed by its time-dependent patterns, related to the principal variables. The Hidden Markov Model (HMM) can be applied to accident identi®cation, which is a spatial and temporal pattern-recognition...

Probabilistic Safety Analysis in Safety Management of Nuclear Power Plants