@article{Thiene:2016:9/095037,
author = {Thiene, M and Sharif, Khodaei Z and Aliabadi, MH},
doi = {9/095037},
journal = {Smart Materials and Structures},
pages = {1--21},
title = {Optimal sensor placement for maximum area coverage (MAC) for damage localization in composite structures},
url = {http://dx.doi.org/10.1088/0964-1726/25/9/095037},
volume = {25},
year = {2016}
}

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TY  - JOUR
AB  - In this paper an optimal sensor placement algorithm for attaining the maximum area coverage (MAC) within a sensor network is presented. The proposed novel approach takes into account physical properties of Lamb wave propagation (attenuation profile, direction dependant group velocity due to material anisotropy) and geometrical complexities (boundary reflections, presence of openings) of the structure. A feature of the proposed optimization approach lies in the fact that it is independent of characteristics of the damage detection algorithm (e.g. probability of detection) making it readily up-scalable to large complex composite structures such as aircraft stiffened composite panel. The proposed fitness function (MAC) is independent of damage parameters (type, severity, location). Statistical analysis carried out shows that the proposed optimum sensor network with MAC results in high probability of damage localization. Genetic algorithm is coupled with the fitness function to provide an efficient optimization strategy.
AU  - Thiene,M
AU  - Sharif,Khodaei Z
AU  - Aliabadi,MH
DO  - 9/095037
EP  - 21
PY  - 2016///
SN  - 0964-1726
SP  - 1
TI  - Optimal sensor placement for maximum area coverage (MAC) for damage localization in composite structures
T2  - Smart Materials and Structures
UR  - http://dx.doi.org/10.1088/0964-1726/25/9/095037
UR  - https://iopscience.iop.org/article/10.1088/0964-1726/25/9/095037
UR  - http://hdl.handle.net/10044/1/32896
VL  - 25
ER  - 

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