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Concrete damage mapping combining laser scanning vibrometry, dynamic response modeling, and ordinary kriging regression

Liarakos Evaggelos, Providakis Konstantinos

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URI: http://purl.tuc.gr/dl/dias/C543BED6-DF16-4F8B-865B-D948372574EA
Year 2021
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation E. V. Liarakos and C. P. Providakis, “Concrete damage mapping combining laser scanning vibrometry, dynamic response modeling, and ordinary kriging regression,” Mat. Design Process. Comm., vol. 3, no. 2, Apr. 2021, doi: 10.1002/mdp2.153. https://doi.org/10.1002/mdp2.153
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Summary

The present study deals with the application of laser scanning vibrometry in monitoring of concrete dynamic behavior and evaluation of dynamic response changes when structural damage occurs. Concrete specimens that exhibit different types of damage are excited artificially using a vibration shaker actuator, and velocity response is acquired on multiple points by employing a PSV-500H laser scanning vibrometer. As optical interaction between laser beam and concrete surfaces yields speckle-related noise to measured velocity response, multi-peak frequency response functions are employed for the simulation of measured spectra and smoothing of induced noise. Surface mapping of concrete elements dynamic modes is achieved by exploiting ordinary kriging regression. Proposed experimental arrangement and data post-processing are attained to illustrate efficiently concrete surficial dynamic response and reveal simultaneously velocity map discontinuities that correspond to crack existence.

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