Techno Press
Techno Press

Smart Structures and Systems
  Volume 12, Number 3, September-October 2013 , pages 235-250
DOI: https://doi.org/10.12989/sss.2013.12.3_4.235
 


Multi-dimensional sensor placement optimization for Canton Tower focusing on application demands
Ting-Hua Yi, Hong-Nan Li and Xiang Wang

 
Abstract
    Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. According to the mathematical background and implicit assumptions made in the triaxial effective independence (EfI) method, this paper presents a novel multi-dimensional OSP method for the Canton Tower focusing on application demands. In contrast to existing methods, the presented method renders the corresponding target mode shape partitions as linearly independent as possible and, at the same time, maintains the stability of the modal matrix in the iteration process. The modal assurance criterion (MAC), determinant of the Fisher Information Matrix (FIM) and condition number of the FIM have been taken as the optimal criteria, respectively, to demonstrate the feasibility and effectiveness of the proposed method. Numerical investigations suggest that the proposed method outperforms the original EfI method in all instances as expected, which is looked forward to be even more pronounced should it be used for other multi-dimensional optimization problems.
 
Key Words
    optimal sensor placement; effective independence method; Canton Tower; sensitivity; robustness
 
Address
Ting-Hua Yi, Hong-Nan Li and Xiang Wang: School of Cvil Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology,Dalian 116023, China
Ting-Hua Yi and Hong-Nan Li : State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China
 

Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2026 Techno Press
P.O. Box 33, Yuseong, Daejeon 305-600 Korea, Tel: +82-42-828-7996, Fax : +82-42-828-7997, Email: admin@techno-press.com