ISHMII SHM CODE Level I: Data Analysis, Structural Condition Identification, Performance Evaluation and SHM System Maintenance

The ISHMII Structural Health Monitoring (SHM) Code Level I is made by the ISHMII task force on standardization to bridge the gap between the research and practical applications of the SHM system. In this paper, data analysis, structural condition identification, performance evaluation methods and maintenance of SHM system provided in the Code are introduced. The main purposes of data analysis are: 1) to study the statistical models of structural loads, environmental effects, responses and performances; 2) to reveal the correlation between different variables and related modes; 3) to learn the characteristic space of multidimensional variables in data; 4) to analyze the structural physical properties implicit in data. Artificial Intelligence (AI)based data analysis and big data analysis methods such as machine/deep learning, and data mining/fusion are summarized. Structural condition identification algorithms are classified based on the structural parameters such as deflection, crack, fatigue, corrosion, modal parameters, etc. SHM-based structural performance evaluation methods including the evaluation of structural safety, serviceability and durability are investigated. SHM system maintenance like daily management process and regular inspection and maintenance scheme are introduced. Case examples of the SHM systems for bridges, high-rise buildings, tunnels and railways are also presented to illustrate the SHM approaches provided by the Code.