Integrated health monitoring for reinforced concrete beams: An experimental study

Ying Wang, Hong Hao

    Research output: Contribution to journalConference articlepeer-review

    9 Citations (Scopus)

    Abstract

    Civil infrastructures begin to deteriorate once they are built and used. Detecting the damages in a structure to maintain its safety is a topic that has received considerable attention in the literature in recent years. In vibration-based methods, the first few modes are used to assess the locations and the amount of damage. However, a small number of the global modes are not sufficient to reliably detect minor damage in the structure. Also, a common limitation of these techniques is that they require a high-fidelity model of the structure to start with, which is usually not available. Recently, guided waves (GWs) have been found as an effective and efficient way to detect incipient damages due to its capacity of relatively long propagation range as well as its flexibility in selecting sensitive mode-frequency combinations. In this paper, an integrated structural health monitoring test scheme is developed to detect damages in reinforced concrete (RC) beams. Each beam is loaded at the middle span progressively to damage. During each loading step, acoustic emission (AE) method is used as a passive monitoring method to catch the AE signals caused by the crack opening and propagation. After each loading step, vibration tests and GW tests are conducted as a combined active monitoring measure. The modal parameters and wave propagation results are used to derive the damage information. Experimental results show that the integrated method is efficient to detect incipient damages in RC structures.
    Original languageEnglish
    Pages (from-to)207-217
    JournalAustralian Journal of Mechanical Engineering
    Volume8
    Issue number2
    Publication statusPublished - 2011

    Fingerprint

    Dive into the research topics of 'Integrated health monitoring for reinforced concrete beams: An experimental study'. Together they form a unique fingerprint.

    Cite this