Journal of Structural and Construction Engineering

Journal of Structural and Construction Engineering

A Review of Structural Health Monitoring Methods

Document Type : Review

Author
Assistant professor, Department of Civil and Environment Engineering, AmirKabir University of Technology, Tehran, Iran
Abstract
Structural Health Monitoring (SHM) plays a crucial role in the reliable assessment and evaluation of structural conditions. Among the various algorithms used in SHM for identifying structural system parameters, Subspace System Identification (SSI) is a dependable time-domain method that employs extended observability matrices. In recent years, a significant number of studies have specifically focused on the practical applications of SSI. However, to date, no comprehensive review has been conducted on the use of SSI in monitoring the health of civil engineering structures. This study aims to review the literature that has employed SSI algorithms for damage detection and modal analysis of structures, with a particular emphasis on data-driven and covariance-based SSI algorithms. In this review, we consider the subspace algorithm as a solution for real-world SHM applications. A comparative evaluation between SSI and other methods is presented to highlight its advantages and limitations. Practical SHM approaches in civil engineering structures are classified into three categories ranging from simple one-dimensional (1D) to highly complex structures, and the capability of SSI in identifying various damage scenarios is reported. . . . . . . . . . . . .. . . . . . . . . . . . .
Keywords

Subjects


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  • Receive Date 28 October 2020
  • Revise Date 19 February 2021
  • Accept Date 07 March 2021