OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring
Sergio Cantero-Chinchilla,
James L. Beck,
Juan Chiachío,
Manuel Chiachío,
Dimitrios Chronopoulos
Affiliations
Sergio Cantero-Chinchilla
Institute for Aerospace Technology & The Composites Group, The University of Nottingham, NG7 2RD, United Kingdom; Aernnova Engineering Division S.A., Madrid, 28034, Spain
James L. Beck
Department of Mechanical and Civil Engineering, California Institute of Technology, Pasadena, CA 91125, United States
Juan Chiachío
Department Structural Mechanics & Hydraulics Engineering, University of Granada, 18001, Spain; Andalusian Institute in Data Science and Computational Intelligence, Granada, Spain
Manuel Chiachío
Department Structural Mechanics & Hydraulics Engineering, University of Granada, 18001, Spain; Andalusian Institute in Data Science and Computational Intelligence, Granada, Spain
Dimitrios Chronopoulos
Institute for Aerospace Technology & The Composites Group, The University of Nottingham, NG7 2RD, United Kingdom; Corresponding 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.
