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http://dx.doi.org/10.12989/sem.2015.54.2.305

Optimal sensor placement for health monitoring of high-rise structure based on collaborative-climb monkey algorithm  

Yi, Ting-Hua (School of Civil Engineering, Dalian University of Technology)
Zhou, Guang-Dong (College of Civil and Transportation Engineering, Hohai University)
Li, Hong-Nan (School of Civil Engineering, Dalian University of Technology)
Zhang, Xu-Dong (School of Civil Engineering, Dalian University of Technology)
Publication Information
Structural Engineering and Mechanics / v.54, no.2, 2015 , pp. 305-317 More about this Journal
Abstract
Optimal sensor placement (OSP) is an integral component in the design of an effective structural health monitoring (SHM) system. This paper describes the implementation of a novel collaborative-climb monkey algorithm (CMA), which combines the artificial fish swarm algorithm (AFSA) with the monkey algorithm (MA), as a strategy for the optimal placement of a predefined number of sensors. Different from the original MA, the dual-structure coding method is adopted for the representation of design variables. The collaborative-climb process that can make the full use of the monkeys' experiences to guide the movement is proposed and incorporated in the CMA to speed up the search efficiency of the algorithm. The effectiveness of the proposed algorithm is demonstrated by a numerical example with a high-rise structure. The results show that the proposed CMA algorithm can provide a robust design for sensor networks, which exhibits superior convergence characteristics when compared to the original MA using the dual-structure coding method.
Keywords
optimal sensor placement; monkey algorithm; artificial fish swarm algorithm; collaborative -climb; modal assurance criterion;
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Times Cited By KSCI : 4  (Citation Analysis)
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