Natural and anthropogenic hazards pose significant risks to individuals and communities.
Over the past few decades, risk and reliability analysis have gone from a specialty topic to a …

In this paper a unified probabilistic framework for solving inverse problems in the presence
of epistemic and aleatory uncertainty is presented. The aim is to establish a flexible theory …

Uncertainty of geomechanical parameters is an important consideration for rock engineering
and has a very important influence on safety evaluation, design, and construction. Back …

Liquefaction is considered a damaging phenomenon of earthquakes and a major cause of
concern in civil engineering. Therefore, its predictory assessment is an essential task for …

When solving the performance‐based earthquake engineering (PBEE) integral, the
engineering demand parameters (EDPs) are assumed to be independent of the “upstream” …

This study attempts to assess slope and channel erosion for modelling their implications on
debris-flow occurrences in Wadi Dahab Watershed (WDW). Remote sensing and …

Devastation observed from global earthquakes highlights the need for a decision-making
tool to aid in prioritisation and resource allocation for seismic risk management. In this …

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 Bayesian network (BN) and influence diagram (ID) are used to develop a framework for
post-earthquake risk assessment and decision making for infrastructure systems. The BN is …

Discernment of seismic soil liquefaction is a complex and non-linear procedure that is
affected by diversified factors of uncertainties and complexity. The Bayesian belief network …