Macroseismic intensity measures are fundamental quantitative indicators for evaluating the
vulnerability and resilience of regional building clusters. The vulnerability model of building …

In order to solve the shortcomings of fragility analysis by finite element method, this paper
proposes a method for calculating the structural fragility of nuclear containment under the …

Earthquakes can cause disastrous casualties and infinite economic loss worldwide. People
have tried various means to ease earthquake disasters. Machine learning (ML) is one …

This paper presents the Probabilistic Risk Assessment (PRA) developed for crucial
components of the SPES (Selective Production of Exotic Species) nuclear facility, a research …

The Bayesian network (BN) is a powerful tool for modeling and analyzing reliability, safety,
and risk in various engineering systems. Although there have been studies that incorporate …

Bayesian network (BN) has important applications in disaster risk analysis due to its unique
causal structure and probabilistic characteristics. This research begins with a detailed …

The conditional core damage probability (CCDP) of a representative nuclear power plant is
estimated for a beyond design basis earthquake (BDBE) using state-of-the-art structural …

The seismic risk of nuclear power plants (NPPs) can be assessed through seismic
probabilistic safety assessment (PSA) based on fault tree analyses (FT). The conventional …

In emergencies, high stake decisions often have to be made under time pressure and strain.
In order to support such decisions, information from various sources needs to be collected …

In the field of earthquake engineering, Fragility Curves (FCs) have become indispensable
for regional risk assessments due to their efficacy in estimating the failure probabilities of …