Implementation of a bio-inspired two-mode structural health monitoring system

Tzu-Kang Lin*, Li Chen Yu, Chang Hung Ku, Kuo Chun Chang, Anne Kiremidjian

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

A bio-inspired two-mode structural health monitoring (SHM) system based on the Naïve Bayes (NB) classification method is discussed in this paper. For the micro-vibration mode, a two-tier auto-regression with exogenous (AR-ARX) process is used to extract the expression array from the recorded structural time history while an ARX process is applied for the analysis of the earthquake mode. The health condition of the structure is then determined using the NB classification method. To verify the performance and reliability of the SHM algorithm, a downscaled eight-storey steel building was used as the benchmark structure. The structural response from different damage levels and locations was collected and incorporated in the database to aid the structural health monitoring process. Preliminary verification has demonstrated that the structure health condition can be precisely detected by the proposed algorithm. To implement the developed SHM system in a practical application, a SHM prototype was developed, which consists of three separate modules namely, the input sensing module, the transmission module, and the SHM platform. The vibration data is first measured by the deployed sensor, and subsequently the SHM mode corresponding to the desired excitation is chosen automatically to quickly evaluate the health condition of the structure. Test results from the ambient vibration and shaking table test showed that the condition and location of the benchmark structure damage can be successfully detected by the proposed SHM prototype system, and the information is instantaneously transmitted to a remote server to facilitate real-time monitoring. Implementing the bio-inspired two-mode SHM practically has been successfully demonstrated.

Original languageEnglish
Pages (from-to)119-137
Number of pages19
JournalSmart Structures and Systems
Volume8
Issue number1
DOIs
StatePublished - 1 Jan 2011
Event3rd International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2011 - Corfu, Greece
Duration: 25 May 201128 May 2011

Keywords

  • Bio-inspired
  • Naive bayes
  • Prototype system
  • Structural health monitoring

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