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.

由于自然灾害对人类和社会造成的巨大影响，社区复原力的概念在过去十年间受到了多个学科的空前关注。虽然大多数研究都集中在评估和量化社区复原力上，但缺乏关于如何将概率性地震性能（从基于性能的地震工程（PBEE）中获得的单个建筑物）纳入评估中的研究。该手稿提出了一个框架，以弥合建筑物的抗震性能与社区复原力之间的差距。此外，提出了一种新颖的长期弹性指标，该指标综合了不同震级的地震概率。该框架可用于评估是否可以通过评估建筑物和其他基础设施系统的抗震性能来实现所需的社区抗灾力目标。为了在还原过程中明确考虑不同基础结构系统的相互依赖性，建立了基于网络的恢复模型。通过执行大量的震后恢复模拟，该框架说明性地应用于由建筑物，配电系统和运输系统组成的社区。仿真结果表明，该框架可有效地将拟议的长期抗灾指标与单个建筑物的抗震性能联系起来，并强调了在社区抗灾力评估中考虑基础设施系统之间相互依赖的重要性。