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.
Bibliographical noteFunding Information:
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.
© 2020 The Author(s)
Copyright 2020 Elsevier B.V., All rights reserved.
- Cost–benefit optimization
- Optimal sensor placement
- Structural health monitoring
- Ultrasonic guided-waves