Damage Detection of Structures Subject to Nonlinear Effects of Changing Environmental Conditions

William Soo Lon Wah, Yung Tsang Chen, Gethin Wyn Roberts, Ahmed Elamin

Research output: Journal PublicationConference articlepeer-review

13 Citations (Scopus)

Abstract

Damage detection of civil structures has been carried out by mainly analysing the vibration properties of the structures which change when damages occur. However, these properties are also affected by the changing environmental conditions the structures are face with, and these conditions usually produce nonlinear effects on the vibration properties. Hence, a method is proposed in this paper to analyse structures subjected to nonlinear effects of environmental conditions. The method first applies Principal Component Analysis (PCA) on a bank of damage sensitivity features, followed by applying Gaussian Mixture Model on the obtained first principal component scores to cluster the data into several linear regions. By creating a baseline for each linear region using two extreme and opposite environmental conditions, and adding new measurements to the baseline one at a time followed by applying PCA, damage detection can be achieved. The method is validated on a numerical truss structure model and on the Z24 Bridge. The results demonstrate the ability of the method to analyse structures under nonlinear environmental effects.

Original languageEnglish
Pages (from-to)248-255
Number of pages8
JournalProcedia Engineering
Volume188
DOIs
Publication statusPublished - 2017
Event6th Asia Pacific Workshop on Structural Health Monitoring, APWSHM 2016 - Hobart, Australia
Duration: 7 Dec 20169 Dec 2016

Keywords

  • Damage detection
  • Environmental conditions
  • Gaussian Mixture Model
  • Nonlinear
  • Principal Component Analysis
  • Temperature

ASJC Scopus subject areas

  • Engineering (all)

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