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

Chuanrui Guo, Yiqing Ni, Huang Huang, Ying Lei, Zhishen Wu

Research output: Journal article publicationConference articleAcademic researchpeer-review


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.

Original languageEnglish
Pages (from-to)1769-1772
Number of pages4
JournalInternational Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII
Publication statusPublished - Jun 2021
Event10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021 - Porto, Portugal
Duration: 30 Jun 20212 Jul 2021


  • Data analysis
  • SHM system maintenance
  • Structural condition identification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Civil and Structural Engineering
  • Building and Construction


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