The multi-disciplinary data and information available at a community level comprise the
foundation of natural hazard resilience modeling. These data enable and inform mitigation …

Infrastructure systems play a critical role in providing essential products and services for the
functioning of modern society; however, they are vulnerable to disasters and their service …

This study introduces an advanced community-level resilience analysis methodology
integrating 3D fragility surfaces for combined successive earthquake-tsunami hazard and …

Earthquakes can impose significant human, societal, and economic burdens, emphasizing
the necessity of community preparedness, including mitigation. Seismic retrofitting, a key …

Abstract The recent magnitude-7.8 earthquake in Turkey and Syria is a bracing reminder of
how severe the damage an earthquake imposes on our society can be. Seismic resilience …

Offshore earthquakes and subsequent tsunamis pose significant risks to many coastal
populations worldwide. This paper introduces a data‐driven machine learning model that …

Although fragility function development for structures is a mature field, it has recently thrived
on new algorithms propelled by machine learning (ML) methods along with heightened …

Communities can face devastation from earthquakes, including loss of lives, destruction of
infrastructure, and damage to buildings. By implementing rigorous standards, communities …

This paper proposes a set of nonparametric statistical tools for analyzing the system
resilience of civil structures and infrastructure and its migration upon changes in critical …

Natural hazards can have a devastating impact on communities, leading to social and
economic losses. These effects are particularly severe in multi-hazard contexts, where …