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.

Authors

Publication Details

Journal
Kalpa publications in computing
Published
2025-08-28
DOI
https://doi.org/10.29007/fb6c
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
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article

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

Zhichen Pan, Jianyong Shi
Kalpa publications in computing
BIM and Construction Integration
article

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

Zhichen Pan, Jianyong Shi
article en

Abstract

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.

Kalpa publications in computingVol. 22
Openalex Percentile: Top 76%
BIM and Construction Integration
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A Knowledge Graph Based Common Data Environment Solution for Building Seismic Loss Estimation — Zhichen Pan, Jianyong Shi · Kalpa publications in computing (2025) | TGRS Research Map | TGRS