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

doi:10.1016/j.softx.2020.100643

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^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

2 Citations (Scopus)

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.

Original language	English
Article number	100643
Journal	SoftwareX
Volume	13
DOIs	https://doi.org/10.1016/j.softx.2020.100643
Publication status	Published - 10 Dec 2020

Bibliographical note

Funding 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.

Publisher Copyright:
© 2020 The Author(s)

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Cost–benefit optimization
Optimal sensor placement
Structural health monitoring
Ultrasonic guided-waves

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

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.",

keywords = "Cost–benefit optimization, Optimal sensor placement, Structural health monitoring, Ultrasonic guided-waves",

author = "Sergio Cantero-Chinchilla and Beck, {James L.} and Juan Chiach{\'i}o and Manuel Chiach{\'i}o and Dimitrios Chronopoulos",

note = "Funding Information: This paper is part of the SAFE-FLY project that has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie grant agreement No 721455 . The authors are also grateful to the California Institute of Technology for kindly hosting the first author. Publisher Copyright: {\textcopyright} 2020 The Author(s) Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "2020",

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doi = "10.1016/j.softx.2020.100643",

language = "English",

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journal = "SoftwareX",

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AU - Cantero-Chinchilla, Sergio

AU - Beck, James L.

AU - Chiachío, Juan

AU - Chiachío, Manuel

AU - Chronopoulos, Dimitrios

N1 - Funding 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. Publisher Copyright: © 2020 The Author(s) Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/12/10

Y1 - 2020/12/10

N2 - 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.

AB - 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.

KW - Cost–benefit optimization

KW - Optimal sensor placement

KW - Structural health monitoring

KW - Ultrasonic guided-waves

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DO - 10.1016/j.softx.2020.100643

M3 - Article (Academic Journal)

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SN - 2352-7110

VL - 13

JO - SoftwareX

JF - SoftwareX

M1 - 100643

ER -

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

Abstract

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Keywords

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