OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring Cantero Chinchilla, Sergio Beck, James L. Chiachío Ruano, Juan Chiachío Ruano, Manuel Chronopoulos, Dimitrios Optimal sensor placement Structural health monitoring Ultrasonic guided-waves Cost-benefit optimization This paper is part of the SAFE-FLY project that has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No 721455. The authors are also grateful to the California Institute of Technology for kindly hosting the first author. 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. 2021-06-15T10:28:45Z 2021-06-15T10:28:45Z 2020-12-10 info:eu-repo/semantics/article Sergio Cantero-Chinchilla, James L. Beck, Juan Chiachío, Manuel Chiachío, Dimitrios Chronopoulos, OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring, SoftwareX, Volume 13, 2021, 100643, ISSN 2352-7110, [https://doi.org/10.1016/j.softx.2020.100643] http://hdl.handle.net/10481/69188 10.1016/j.softx.2020.100643 eng info:eu-repo/grantAgreement/EC/H2020/721455 http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España Elsevier