Citation

BibTex format

@article{Thiene:2016:9/095037,
author = {Thiene, M and Sharif, Khodaei Z and Aliabadi, MH},
doi = {9/095037},
journal = {Smart Materials and Structures},
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}
}

RIS format (EndNote, RefMan)

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 ofLamb 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 theproposed optimization approach lies in the fact that it is independent of characteristics of the damagedetection algorithm (e.g. probability of detection) making it readily up-scalable to large complex compositestructures such as aircraft stiffened composite panel. The proposed fitness function (MAC) is independent ofdamage parameters (type, severity, location). Statistical analysis carried out shows that the proposedoptimum sensor network with MAC results in high probability of damage localization. Genetic algorithm iscoupled with the fitness function to provide an efficient optimization strategy.
AU - Thiene,M
AU - Sharif,Khodaei Z
AU - Aliabadi,MH
DO - 9/095037
PY - 2016///
SN - 1361-665X
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 - http://hdl.handle.net/10044/1/32896
VL - 25
ER -