Dynamic Health Assessment of Shield Tunnel Structures Based on Knowledge Graph. Issue 5 (October 2021)

• Record Type: Journal Article
• Authors: Zhang, H F; Pang, H J; Fan, Y Q; Jia, F; Xue, Y D
• Is Part Of: IOP conference series. Volume 861:Issue 5(2021)
• Publication Date: 2021-10
• Subjects: shield tunnel -- Knowledge Graph -- dynamic -- health assessment; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/861/5/052098
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: The safety and performance of shield tunnel structures are essential for metro operations. Therefore, a scientific assessment of the health of the tunnel structure is required during its service life. Although the performance of tunnel structures is affected by complex factors, these factors change over time, and so does the health of the tunnel structure. This study introduced a data-driven method based on the Knowledge Graph (KG) to fully assess the structure of a shield tunnel based on the evolution characteristics of the structure and its historical data. First, the method adopted Neo4j as the storage system, thus establishing a KG containing the data of a shield tunnel from its construction to the present. Then, based on the KG, the shield tunnel will be divided dynamically into sections based on their defects characteristics. Finally, the areas with defects will be assessed automatically through an improved tunnel serviceability index. Through KG, more information related to the tunnel structure can be constructed. Simultaneously, the dynamic evolution tendency of the tunnel structure health can be recorded by considering the time effect. Based on the KG, the main factors affecting tunnel structural health can be used to optimize tunnel operation and maintenance decisions. In this study, a framework for structural health assessment of metro shield tunnels based on KG is constructed and applied in Shanghai Metro Line1.