With the increasing trend of global warming, the frequent occurrences of natural disasters
have brought serious challenges to the sustainable development of the society. Therefore …

This paper provides a comprehensive overview of the literature on transportation
infrastructure system performance in disasters. Specifically, it reviews those articles …

The corrosion–fatigue coupled deterioration of ageing steel bridge hangers presents
significant structural challenges, demanding rigorous condition assessments and timely …

When designing monitoring systems and planning inspections, engineers must assess the
benefits of the additional information that can be obtained and weigh them against the cost …

This paper presents a probabilistic model for assessing risk of cascading failures in co-
located road and channel networks. The proposed Bayesian network analysis framework …

Novel algorithms are developed to enable the modeling of large, complex infrastructure
systems as Bayesian networks (BNs). These include a compression algorithm that …

This article proposes an approach for the derivation of multi-hazard fragility functions,
through the use of system reliability methods and Bayesian Networks. A bridge system is …

The Bayesian network (BN) is a convenient tool for probabilistic modeling of system
performance, particularly when it is of interest to update the reliability of the system or its …

Road networks are considered as one of the most important transport infrastructure systems,
since they attain the economic and social prosperity of modern societies. For this reason, it is …

Ensuring electric power system resilience against natural and anthropogenic hazards is vital
for public health, economy, security, and well-being across modern societies. This paper …