Structural health monitoring for advanced composite structures: A review

Alfredo Güemes, Antonio Fernandez-Lopez, Angel Renato Pozo, Julián Sierra-Pérez

    Research output: Contribution to journalReview articlepeer-review

    49 Scopus citations

    Abstract

    Condition-based maintenance refers to the installation of permanent sensors on a structure/ system. By means of early fault detection, severe damage can be avoided, allowing efficient timing of maintenance works and avoiding unnecessary inspections at the same time. These are the goals for structural health monitoring (SHM). The changes caused by incipient damage on raw data collected by sensors are quite small, and are usually contaminated by noise and varying environmental factors, so the algorithms used to extract information from sensor data need to focus on sensitive damage features. The developments of SHM techniques over the last 20 years have been more related to algorithm improvements than to sensor progress, which essentially have been maintained without major conceptual changes (with regards to accelerometers, piezoelectric wafers, and fiber optic sensors). The main different SHM systems (vibration methods, strain-based fiber optics methods, guided waves, acoustic emission, and nanoparticle-doped resins) are reviewed, and the main issues to be solved are identified. Reliability is the key question, and can only be demonstrated through a probability of detection (POD) analysis. Attention has only been paid to this issue over the last ten years, but now it is a growing trend. Simulation of the SHM system is needed in order to reduce the number of experiments.

    Original languageEnglish
    Article number13
    JournalJournal of Composites Science
    Volume4
    Issue number1
    DOIs
    StatePublished - 2020

    Bibliographical note

    Funding Information:
    Funding: This work was partially sponsored by the DACOMAT project. The DACOMAT project has received funding from the European Union’s Horizon 2020 research and innovation programme under GA No. 761072.

    Publisher Copyright:
    © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

    Keywords

    • Condition-based maintenance
    • Damage detection algorithm
    • Probability of detection (POD)
    • Sensors

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