Abstract
The application of unmanned aerial vehicle technology to bridge structural health monitoring has become a hot research topic due to its low cost, safety and high energy efficiency. However, flight duration and battery life are substantial technical limitations. Is a short data burst sufficient for damage detection? This paper intends to answer this question by developing a novel approach based on frequency domain decomposition to obtain the mode shapes from a short data burst. Then, the modal assurance criterion is used as an indicator of the differences between the estimated mode shapes from the short data burst and the exact eigenvectors from finite element analysis. Here, the short data burst is obtained from the simulated acceleration response of a bridge beam model due to the crossing of two quarter-cars. A new damage indicator based on the modal assurance criterion profile along the beam is proposed to locate and quantify damage.
| Original language | English |
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| Title of host publication | Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure |
| Editors | Genda Chen, Sreenivas Alampalli |
| Publisher | Missouri University of Science and Technology |
| Pages | 174-179 |
| Number of pages | 6 |
| Volume | 1 |
| Publication status | Published - 07 Aug 2019 |
| Externally published | Yes |
| Event | 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2019 - St. Louis, United States Duration: 04 Aug 2019 → 07 Aug 2019 https://shmii-9.mst.edu/ |
Conference
| Conference | 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2019 |
|---|---|
| Abbreviated title | SHMII 2019 |
| Country/Territory | United States |
| City | St. Louis |
| Period | 04/08/2019 → 07/08/2019 |
| Internet address |
ASJC Scopus subject areas
- Artificial Intelligence
- Civil and Structural Engineering
- Building and Construction
Access to Document
- Modal analysis of a bridge using short-duration accelerations
Copyright 2019 International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII). This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.