Abstract
This paper primarily presents a comparison of traditional and advanced sensing techniques in the field of structural health monitoring for use in damage detection in reinforced concrete (RC) structures. The accuracy of these methods is evaluated through standard laboratory tests on concrete cylinders. Furthermore, a damage detection method for RC structures is introduced where strains measured from densely clustered sensors are used to develop damage sensitive features. This method is verified through simulation data from a fiber element model of a new earthquake resistant RC coupled shear wall system. A large scale specimen of this system with a dense network of embedded strain gauges, displacement and rotation transducers, as well as digital image correlation systems was recently tested. The data collected through this experiment will be used to experimentally validate the proposed damage detection method.
| Original language | English (US) |
|---|---|
| Title of host publication | Structures Congress 2014 - Proceedings of the 2014 Structures Congress |
| Editors | Glenn R. Bell, Matt A. Card |
| Publisher | American Society of Civil Engineers (ASCE) |
| Pages | 2777-2788 |
| Number of pages | 12 |
| ISBN (Electronic) | 9780784413357 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | Structures Congress 2014 - Boston, United States Duration: Apr 3 2014 → Apr 5 2014 |
Publication series
| Name | Structures Congress 2014 - Proceedings of the 2014 Structures Congress |
|---|
Other
| Other | Structures Congress 2014 |
|---|---|
| Country/Territory | United States |
| City | Boston |
| Period | 4/3/14 → 4/5/14 |
Bibliographical note
Publisher Copyright:© 2014 American Society of Civil Engineers.
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This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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