Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/6899
| Title: | Sensor placement strategy for structural damage detection from modal strain energy change | Authors: | Ye, SQ Ni, YQ |
Issue Date: | Dec-2011 | Source: | Dynamics for sustainable engineering : proceedings of the 14th Asia-Pacific Vibration Conference, 5-8 December 2011, Hong Kong, v. 1, p. 141-146 | Abstract: | This paper presents a sensor placement optimization strategy with the purpose of damage detection from modal strain energy change. Firstly, the damage detection method is introduced, in which damage is localized from the change of the modal strain energy before and after the occurrence of the damage. Then, the sensor placement configuration is selected as the one that contributes most to the modal strain energy change. The Pareto optimal solution theory is applied to find the optimal solution for a multi-objective optimization problem where more than one member or DOF are considered critical and need monitoring. The proposed sensor placement strategy is in line with the damage detection strategy, so that the sensor placement configuration is capable of providing the as much useful data as possible and the effectiveness of the damage detection can be maximized. The method is eventually applied to a reduced-order finite element model of the Canton Tower to find the optimal sensor placement. | Keywords: | Sensor placement Modal strain energy change Damage detection Pareto optimal solution |
Publisher: | Department of Civil and Structural Engineering and Department of Mechanical Engineering, The Hong Kong Polytechnic University. | ISBN: | 978-962-367-731-8 | Rights: | Copyright ©2011 Department of Civil and Structural Engineering and Department of Mechanical Engineering, Hong Kong Polytechnic University Posted with permission of the publisher. |
| Appears in Collections: | Conference Paper |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Ye_Sensor_Placement_Strategy.pdf | 1.11 MB | Adobe PDF | View/Open |
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