To localize small damage from mode shapes, the polynomial annihilation edge detection method has been proposed and demonstrated its effectiveness on different types of structural components [7]. However, much computational effort involved in this approach lowers the damage detection speed. To alleviate this difficulty, in this paper, we improve the approach by first using the divided difference approach to identify the region(s) in which jump discontinuities are located, and then only applying the polynomial annihilation method to points in the identified region. In this way, the computational burden of this approach is significantly relieved, while the accuracy is still maintained. The improved approach has been validated by numerical simulations on a cable-stayed bridge model. This approach only requires post-damage mode shapes.
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ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 16–18, 2013
Snowbird, Utah, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5604-8
PROCEEDINGS PAPER
Structural Damage Detection Based on an Improved Edge-Detection Technique
Peng Chen,
Peng Chen
University of Science and Technology Beijing, Beijing, China
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Guangda Hu,
Guangda Hu
University of Science and Technology Beijing, Beijing, China
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Soheil Nazarian,
Soheil Nazarian
University of Texas at El Paso, El Paso, TX
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Guirong Yan
Guirong Yan
University of Texas at El Paso, El Paso, TX
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Peng Chen
University of Science and Technology Beijing, Beijing, China
Guangda Hu
University of Science and Technology Beijing, Beijing, China
Soheil Nazarian
University of Texas at El Paso, El Paso, TX
Guirong Yan
University of Texas at El Paso, El Paso, TX
Paper No:
SMASIS2013-3010, V002T05A003; 7 pages
Published Online:
February 20, 2014
Citation
Chen, P, Hu, G, Nazarian, S, & Yan, G. "Structural Damage Detection Based on an Improved Edge-Detection Technique." Proceedings of the ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Mechanics and Behavior of Active Materials; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting. Snowbird, Utah, USA. September 16–18, 2013. V002T05A003. ASME. https://doi.org/10.1115/SMASIS2013-3010
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