A framework to link community long-term resilience goals to seismic performance of individual buildings using network-based recovery modeling method. Issue 147 (August 2021)

• Record Type: Journal Article
• Authors: You, Tian; Wang, Wei; Chen, Yiyi
• Is Part Of: Soil dynamics and earthquake engineering. Issue 147(2021)
• Publication Date: 2021-08
• Subjects: Community resilience -- Long-term resilience indicator -- Post-earthquake restoration -- Network recovery -- Performance-based earthquake engineering; Soil dynamics -- Periodicals; Earthquake engineering -- Periodicals; Sols -- Dynamique -- Périodiques; Génie parasismique -- Périodiques; 624.176205
• DOI: 10.1016/j.soildyn.2021.106788
• Languages: English
• ISSNs: 0267-7261

Abstract

Abstract: Due to the great human and social impacts of natural hazards, the concept of community resilience has gained unprecedented attention across multiple disciplines in the last decade. While most studies focused on the assessment and quantification of community resilience, there is a lack of research on how to incorporate the probabilistic seismic performance, which is obtained from performance-based earthquake engineering (PBEE), of individual buildings into the assessment. This manuscript presents a framework to bridge the gap between seismic performance of buildings and community resilience. In addition, a novel long-term resilience indicator integrating the probability of earthquakes with different magnitudes is proposed. The framework can be used to assess if the desired community resilience goals can be achieved by evaluating the seismic performance of buildings and other infrastructure systems. To explicitly account for the interdependence of different infrastructure systems during the restoration process, a network-based recovery model is established. The framework is illustratively applied to a community consisting of buildings, power distribution system, and transportation system by performing a large number of post-earthquake recovery simulations. The simulation results demonstrate that the framework is effective to link the proposed long-term resilience indicator to the seismic performance of individual buildings and it highlights the importance of considering the interdependence between infrastructure systems in community resilience assessment. Highlights: Long-term seismic resilience indicator integrating earthquake probability. Framework to link resilience goals to seismic performance of individual buildings. Network-based post-earthquake recovery modeling method. Recovery of buildings considering transportation and power distribution systems.