A Knowledge Graph Based Common Data Environment Solution for Building Seismic Loss Estimation

Seismic Loss Estimation (SLE) has become a critical aspect of modern building engineering, aiding in mitigation strategies, real-time disaster response, and post-earthquake reconstruction. The FEMA P-58 method, a performance-based earthquake engineering tool, efficiently links component damage states with engineering demand parameters for comprehensive seismic loss assessment. However, managing the extensive data and semantics required for such evaluations poses challenges. This paper proposes a Knowledge Graph (KG)-based solution, integrating object-based information management principles akin to Common Data Environment (CDE) and Building Information Modeling (BIM). By leveraging KG and digital twin technologies, this approach aims to facilitate dynamic seismic loss estimation, providing stakeholders with a comprehensive view of building performance and enabling efficient data access and analysis.