Two-phase damage detection of beam structures under moving load using multi-scale wavelet signal processing and wavelet finite element model

Wen Yu He, Songye Zhu, Wei Xin Ren

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


This paper proposes a damage detection method with two phases, namely, localization and quantification, for beam structures subjected to moving load and successfully validates it via a laboratory experiment. Firstly, the discrete wavelet transform (DWT) is applied to decompose the displacement response change induced by a moving vehicle and locate potential structural damages. Then adaptive-scale wavelet finite element model (WFEM) updating is employed to estimate the damage severity in the identified damage regions in a progressive fashion. The elemental scales of WFEM are adaptively changed according to not only the moving vehicle position but also the progressively identified damage regions. Such a method can effectively minimize the number of modeling degree-of-freedoms (DOFs) and updating parameters during optimization. The feasibility and effectiveness of the proposed method is examined through a laboratory experiment with different damage scenarios. The results indicate the proposed method can achieve good consistency between structural modeling, damage scenarios, and load conditions, as well as an optimal tradeoff between damage detection accuracy and efficiency.

Original languageEnglish
Pages (from-to)728-744
Number of pages17
JournalApplied Mathematical Modelling
Publication statusPublished - Feb 2019


  • Adaptive-scale
  • Discrete wavelet transform
  • Model updating
  • Moving vehicle
  • Wavelet finite element

ASJC Scopus subject areas

  • Modelling and Simulation
  • Applied Mathematics

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