@misc{10481/69188,
year = {2020},
month = {12},
url = {http://hdl.handle.net/10481/69188},
abstract = {This paper presents OptiSens, a computational platform in Python and Matlab, that provides optimal sensor and actuator configurations for structural health monitoring applications using ultrasonic guided-waves. This software formulates a convex entropy-based objective function, which aims at minimizing the uncertainty while maximizing the expected accuracy of the monitoring system in localizing structural damage. The platform is specialized for two types of different materials, namely isotropic and composite (anisotropic) materials. The effectiveness and efficiency of this software are demonstrated using two plate-like structures made of different materials.},
organization = {European Union's Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant 

721455},
publisher = {Elsevier},
keywords = {Optimal sensor placement},
keywords = {Structural health monitoring},
keywords = {Ultrasonic guided-waves},
keywords = {Cost-benefit optimization},
title = {OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring},
doi = {10.1016/j.softx.2020.100643},
author = {Cantero Chinchilla, Sergio and Beck, James L. and Chiachío Ruano, Juan and Chiachío Ruano, Manuel and Chronopoulos, Dimitrios},
}