Structural damage prognosis of three-dimensional large structural systems
Author:
Affiliation:
1. Department of Civil Engineering, University of Basrah, Basrah, Iraq
2. Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ, USA
Funder
National Science Foundation
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/15732479.2017.1304430
Reference51 articles.
1. Al-Hussein, A. (2015). A novel technique for structural health assessment in the presence of nonlinearity (PhD dissertation). Department of Civil Engineering and Engineering Mechanics, University of Arizona, AZ, USA.
2. Structural health assessment using extended and unscented Kalman filters
3. Unscented Kalman filter with unknown input and weighted global iteration for health assessment of large structural systems
4. ANSYS. (2014). Computer Software – Version 15.0. Canonsburg, PA: The Engineering Solutions Company.
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