Monitoring a model cable-stay bridge structure by acoustic emission and laser Doppler vibrometry

T. Z. Kordatou; A. C. Mpalaskas; I. K. Tragazikis; T. E. Matikas

doi:10.1117/12.2557840

22 April 2020 Monitoring a model cable-stay bridge structure by acoustic emission and laser Doppler vibrometry

T. Z. Kordatou, A. C. Mpalaskas, I. K. Tragazikis, T. E. Matikas

Proceedings Volume 11382, Smart Structures and NDE for Industry 4.0, Smart Cities, and Energy Systems; 1138214 (2020) https://doi.org/10.1117/12.2557840
Event: SPIE Smart Structures + Nondestructive Evaluation, 2020, Online Only

Abstract

Different measurement methodologies have been used in bridge monitoring due to seismic, environmental and operating loading. Moreover, bridge monitoring systems have influence in the smooth operation of the traffic load in big cities and thus it’s crucial to encourage monitoring techniques that are flexibly adaptable to various construction building models. Even though a lot of research has been performed in bridge health monitoring in order to identify damages or deterioration of the structural elements there is still a need for a method that could combine multisensor techniques in big data processing for multisource loading. The behavior of the cable-stay bridge model is being monitored via acoustic emission and 2D laser Doppler vibrometry systems. In each case, both static and dynamic loading conditions have been applied. The goal is to correlate the results of these nondestructive evaluation techniques during static and dynamic response of different support situations. The purpose of this work is to improve bridge design and enable the detection of distributed failures during a multifactor loading system.

Citation Download Citation

T. Z. Kordatou, A. C. Mpalaskas, I. K. Tragazikis, and T. E. Matikas "Monitoring a model cable-stay bridge structure by acoustic emission and laser Doppler vibrometry", Proc. SPIE 11382, Smart Structures and NDE for Industry 4.0, Smart Cities, and Energy Systems, 1138214 (22 April 2020); https://doi.org/10.1117/12.2557840

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