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Title: Detection and characteristics estimation of defects in concrete structures using laser ablation-induced vibration
Authors: Yasuda, Naotoshi  kyouindb  KAKEN_id
Misaki, Norikazu
Shimada, Yoshinori
Yamaoka, Daiki
Author's alias: 保田, 尚俊
Keywords: Inspection method
Laser ablation
Concrete
Vibration
Modal identification
Issue Date: Sep-2020
Publisher: Elsevier BV
Journal title: Tunnelling and Underground Space Technology
Volume: 103
Thesis number: 103460
Abstract: This paper proposes a method for detection and estimation of the characteristics of defects in concrete structures using laser ablation-induced vibration for non-contact structural inspection to prevent partial spalling. Two types of lasers are used: the first is an impact laser that is used to induce vibrations in the measurement target and the second is a detection laser that is used to measure these induced vibrations. Laboratory tests are performed using concrete specimens with and without an internal defect. The results show that the presence of a defect can be estimated from the occurrence of damped oscillations in the measurement data. The presence or absence of these damped oscillations can be determined using the least-squares complex frequency-domain (LSCF) method, which is a fast-stabilizing parameter estimation method for modal identification problems. Additionally, when a defect is present, the defect vibration characteristics, such as natural frequencies and damping ratios, can be estimated. In particular, the natural frequencies can be estimated accurately.
Rights: © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The full-text file will be made open to the public on 1 September 2022 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
This is not the published version. Please cite only the published version.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/252795
DOI(Published Version): 10.1016/j.tust.2020.103460
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