CLC number: TU391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-05-07
Cited: 5
Clicked: 5351
Hui Jin, Jie Xia, Ya-qiong Wang. Optimal sensor placement for space modal identification of crane structures based on an improved harmony search algorithm[J]. Journal of Zhejiang University Science A, 2015, 16(6): 464-477.
@article{title="Optimal sensor placement for space modal identification of crane structures based on an improved harmony search algorithm",
author="Hui Jin, Jie Xia, Ya-qiong Wang",
journal="Journal of Zhejiang University Science A",
volume="16",
number="6",
pages="464-477",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1400363"
}
%0 Journal Article
%T Optimal sensor placement for space modal identification of crane structures based on an improved harmony search algorithm
%A Hui Jin
%A Jie Xia
%A Ya-qiong Wang
%J Journal of Zhejiang University SCIENCE A
%V 16
%N 6
%P 464-477
%@ 1673-565X
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1400363
TY - JOUR
T1 - Optimal sensor placement for space modal identification of crane structures based on an improved harmony search algorithm
A1 - Hui Jin
A1 - Jie Xia
A1 - Ya-qiong Wang
J0 - Journal of Zhejiang University Science A
VL - 16
IS - 6
SP - 464
EP - 477
%@ 1673-565X
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1400363
Abstract: The problem of optimal sensor placement plays a key role in the success of structural health monitoring (SHM) systems. In this study, a new method is presented to investigate the optimization problem of sensor placement on gantry crane structures. The method is a combination of an improved harmony search (HS) algorithm and the modal assurance criterion (MAC). Firstly, we review previous studies on setting reasonable values for HS parameters that have the most impact on the result, and highlight the lack of general rules governing this aspect. Based on more efficient HS algorithms resulting from those studies, we apply our proposed technique to the optimization problem of sensor placement on gantry crane structures. The purpose of the optimization method is to select the optimal sensor locations on gantry crane girders to establish a sensor network for an SHM system. Our results show that the HS algorithm is a powerful search and optimization technique that can lead to a better solution to the problem of engineering optimization. The mode of a crane structure could be identified more easily when different mode shape orientations are considered comprehensively.
This paper addresses the problem of sensor placement in SHM. Although this problem has been studied extensively in the last decades, the authors utilize a relatively new meta-heuristic method, harmony search, to tackle the problem. The paper is generally well written, with convincing analysis, particularly when choosing the parameters in the HS.
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