Fundamental lamb mode-based delamination detection for CF/EP composite laminates using distributed piezoelectrics

Zhongqing Su, Lin Ye

Research output: Journal article publicationJournal articleAcademic researchpeer-review

73 Citations (Scopus)


A delamination detection scheme for the CF/EP composite laminates based on the Lamb wave propagation was proposed. The fundamental symmetric Lamb mode (S0) and the delamination-induced basic shear mode (S′0) in an ultrasonic frequency range were utilised for locating the delamination. Both numerical simulation and experimental studies were performed to evaluate the propagation characteristics of Lamb waves in the composite laminates involving a delamination. An active online damage diagnosis system was established with a transducer network configured using distributed piezoelectrics. Bandpass filters were designed and spectrographic analyses in the time-scale space via wavelet transform technique were accomplished, to diminish diverse broadband interferences and consequently improve signal interpretation. Algorithm based on a graphic approach was introduced into the damage searching procedure to expedite the diagnosis and minimise the estimation errors. The proposed identification scheme and diagnosis system were then validated by detecting delaminations in CF/EP laminates made from unidirectional and woven fabric prepreg, respectively. Satisfactory prediction for the damage location has been achieved. Additionally, the influence of diagnostic waveforms and frequencies on the identification accuracy was also evaluated.
Original languageEnglish
Pages (from-to)43-68
Number of pages26
JournalStructural Health Monitoring
Issue number1
Publication statusPublished - 1 Jan 2004
Externally publishedYes


  • Fibre-reinforced composite
  • Finite element method (FEM)
  • Lamb wave
  • Structural health monitoring (SHM)
  • Wavelet transform

ASJC Scopus subject areas

  • Biophysics
  • Mechanical Engineering


Dive into the research topics of 'Fundamental lamb mode-based delamination detection for CF/EP composite laminates using distributed piezoelectrics'. Together they form a unique fingerprint.

Cite this