Entropy-based structural health monitoring system for damage detection in multi-bay three-dimensional structures

Tzu-Kang Lin*, Ana Gabriela Laínez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this paper, a structural health monitoring (SHM) system based on multi-scale cross-sample entropy (MSCE) is proposed for detecting damage locations in multi-bay three-dimensional structures. The location of damage is evaluated for each bay through MSCE analysis by examining the degree of dissimilarity between the response signals of vertically-adjacent floors. Subsequently, the results are quantified using the damage index (DI). The performance of the proposed SHM system was determined in this study by performing a finite element analysis of a multi-bay seven-story structure. The derived results revealed that the SHM system successfully detected the damaged floors and their respective directions for several cases. The proposed system provides a preliminary assessment of which bay has beenmore severely affected. Thus, the effectiveness and high potential of the SHM system for locating damage in large and complex structures rapidly and at low cost are demonstrated.

Original languageEnglish
Article number49
JournalEntropy
Volume20
Issue number1
DOIs
StatePublished - 11 Jan 2018

Keywords

  • Cross-sample entropy
  • Multi-bay
  • Multi-scale
  • Structural health monitoring
  • Three-dimensional

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