Monitoring cantilever beam with a vision-based algorithm and smartphone

Mehmet Sefa Orak*, Turgut Ozturk

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4 Atıf (Scopus)

Özet

The study presented in this manuscript deals with a non-contact structural health monitoring approach based on the use of smartphone and computer vision algorithm to estimate the vibrating characteristics of a cantilever slender beam. We hypothesize that the vibration of the beam can be captured using a smartphone in slow-motion modality and the natural frequency of the beam can be extracted using a computer vision algorithm. The results show an excellent agreement between the conventional contact method and the non-contact novel approach proposed here.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)107-111
Sayfa sayısı5
DergiVibroengineering Procedia
Hacim17
DOI'lar
Yayın durumuYayınlandı - 1 Nis 2018
Etkinlik31st International Conference on Vibroengineering - Dubai, United Arab Emirates
Süre: 20 Nis 201822 Nis 2018

Bibliyografik not

Publisher Copyright:
© JVE INTERNATIONAL LTD.

Finansman

The first author was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) 2214/A International Doctoral Research Fellowship Programme (Grant No. #1059B141600085). The experiments were held at the Laboratory for Nondestructive Evaluation and Structural Health Monitoring Studies at University of Pittsburgh. Authors would also like to acknowledge Piervincenzo Rizzo and Amir Nasrollahi from the Department of Civil and Environmental Engineering at University of Pittsburgh and also, David Mas and Belen Ferrer from the Department of Civil Engineering at University of Alicante.

FinansörlerFinansör numarası
TUBITAK1059B141600085
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

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