OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring

Creators: Cantero-Chinchilla, Sergio; Beck, James L.; Chiachío, Juan; Chiachío, Manuel; Chronopoulos, Dimitrios

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.

Additional Information

© 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Received 23 September 2020, Revised 2 December 2020, Accepted 3 December 2020, Available online 10 December 2020. 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 Skłodowska-Curie grant agreement No 721455. The authors are also grateful to the California Institute of Technology for kindly hosting the first author. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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