Risk assessment and mitigation programs have been carried out over the last decades in
the attempt to reduce transportation infrastructure downtime and post-disaster recovery …

Transportation infrastructure are critical systems supporting community well-being. Its
impairment or failure due to hazardous events can lead to societal consequences which are …

This study introduces the Interdependent Network Design Problem (INDP), concerned with
defining the minimum‐cost reconstruction strategy of a partially destroyed system of …

This paper provides perspectives on multihazard engineering in the contemporary structural
engineering context in order to frame the breadth and multiple dimensions it encompasses …

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 presents an integrated approach for the probabilistic systemic risk analysis of a
road network considering spatial seismic hazard with correlation of ground motion …

Flow network models can capture the underlying physics and operational constraints of
many networked systems including the power grid and transportation and water networks …

The performance of lifelines under damage and emergency conditions induced by sudden
extreme events, such as earthquakes, can be assessed based on the concept of resilience …

Data-driven models for predicting dynamic responses of linear and nonlinear systems are of
great importance due to their wide application from probabilistic analysis to inverse …

The two-terminal reliability problem in system reliability analysis is known to be
computationally intractable for large infrastructure graphs. Monte Carlo techniques can …