A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves

Sergio Cantero-Chinchilla*, Juan Chiachío, Manuel Chiachío, Dimitrios Chronopoulos, Arthur Jones

*Corresponding author for this work

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    76 Citations (Scopus)


    SHM methods for damage detection and localization in plate-like structures have typically relied on signal post-processing techniques applied to ultrasonic guided-waves. The time of flight is one of these signals features which has been extensively used by the SHM community for damage localization. One approach for obtaining the time of flight is by applying a particular time-frequency transform to capture the frequency and energy content of the wave at each instant of time. To this end, the selection of a suitable methodology for time-frequency transform among the many candidates available in the literature has typically relied on experience, or simply based on considerations about computational efficiency. In this paper, a full probabilistic method based on the Bayesian inverse problem is proposed to rigorously provide a robust estimate of the time of flight for each sensor independently. Then, the robust prediction is introduced as an input to the Bayesian inverse problem of damage localization. The results reveal that the proposed methodology is able to efficiently reconstruct the damage localization within a metallic plate without the need to assume a specific a priori time-frequency transform model.

    Original languageEnglish
    Pages (from-to)192-205
    Number of pages14
    JournalMechanical Systems and Signal Processing
    Publication statusPublished - 1 May 2019


    • Bayesian inverse problem
    • Damage localization
    • Multiple damage areas
    • Structural health monitoring
    • Time of flight
    • Ultrasonic guided-waves


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