Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 107-111 |
| Number of pages | 5 |
| Journal | Vibroengineering Procedia |
| Volume | 17 |
| DOIs | |
| Publication status | Published - 1 Apr 2018 |
| Event | 31st International Conference on Vibroengineering - Dubai, United Arab Emirates Duration: 20 Apr 2018 → 22 Apr 2018 |
Bibliographical note
Publisher Copyright:© JVE INTERNATIONAL LTD.
Funding
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.
| Funders | Funder number |
|---|---|
| TUBITAK | 1059B141600085 |
| Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |
Keywords
- Computer vision
- Nondestructive testing
- Structural health monitoring