Abstract
This study presents multi-scale structural health monitoring (SHM) technologies for large civil structures. It involves four major tasks: (1) the multi-scale finite element modeling of a large civil structure that can integrate the global structural model equipped with global sensors with the local structural details installed with local sensors; (2) the development of multi-scale model updating method that uses multi-scale updating parameters and objective functions together with the Kriging method; (3) the optimal placement of multi-type sensors that can integrate global and local sensors, minimize the required number of sensors, and increase the accuracy of damage detection via best response reconstruction; and (4) the development of multi-scale damage detection method that can synthesize the measurement data from different sensors with different scales. The accuracy of the proposed technologies is validated by conducting various experimental studies.
| Original language | English (US) |
|---|---|
| Journal | International Conference on Advances in Experimental Structural Engineering |
| Volume | 2015-August |
| State | Published - 2015 |
| Event | Joint 6th International Conference on Advances in Experimental Structural Engineering, AESE 2015 and 11th International Workshop on Advanced Smart Materials and Smart Structures Technology, ANCRiSST 2015 - Urbana-Champaign, United States Duration: Aug 1 2015 → Aug 2 2015 |
Keywords
- Damage detection
- Large civil structures
- Multi-scale
- Structural health monitoring
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction