Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor
Damage monitoring is the need of the hour in this age of infrastructure. Many methods are being used for damage monitoring in different mechanical and civil structures. Some of them are strain based methods in which abruptly increased strain signifies the presence of damage in the structure. This ar...
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sg-ntu-dr.10356-884372023-03-04T17:07:06Z Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor Maheshwari, Muneesh Annamdas, Venu Gopal Madhav Pang, John Hock Lye Tjin, Swee Chuan Asundi, Anand Krishna Eggleton, Benjamin J. Palomba, Stefano School of Electrical and Electronic Engineering School of Mechanical and Aerospace Engineering Proceedings of SPIE - Micro+Nano Materials, Devices, and Systems Fibre Optic Polarimetric Sensor (FOPS) Fibre Bragg Grating (FBG) DRNTU::Engineering::Mechanical engineering Damage monitoring is the need of the hour in this age of infrastructure. Many methods are being used for damage monitoring in different mechanical and civil structures. Some of them are strain based methods in which abruptly increased strain signifies the presence of damage in the structure. This article focuses on crack monitoring of a fixedfixed beam using fiber optic sensors which can measure strain locally or globally. The two types of fiber optic sensors used in this research are fiber Bragg grating (FBG) and fiber optic polarimetric sensors (FOPS). FBG and FOPS are used for local strain monitoring (at one point only) and global strain monitoring (in the entire specimen) respectively. At the centre of the specimen, a piezoelectric wafer active sensor (PWAS) is also attached. PWAS is used to obtain electromechanical admittance (EMA) signatures. Further, these EMA signatures are analysed to access the damage state in the beam. These multiple smart materials together provide improved information on damages in the specimen which is very valuable for the structural health monitoring (SHM) of the specimen. Published version 2018-12-12T08:56:55Z 2019-12-06T17:03:19Z 2018-12-12T08:56:55Z 2019-12-06T17:03:19Z 2015 Conference Paper Maheshwari, M., Annamdas, V. G. M., Pang, J. H. L., Tjin, S. C., & Asundi, A. K. (2015). Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor. Proceedings of SPIE - Micro+Nano Materials, Devices, and Systems, 9668, 966816-. doi:10.1117/12.2202547 https://hdl.handle.net/10356/88437 http://hdl.handle.net/10220/46930 10.1117/12.2202547 en © 2015 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in Proceedings of SPIE - Micro+Nano Materials, Devices, and Systems and is made available as an electronic reprint (preprint) with permission of Society of Photo-optical Instrumentation Engineers (SPIE). The published version is available at: [http://dx.doi.org/10.1117/12.2202547]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 9 p. application/pdf |
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Fibre Optic Polarimetric Sensor (FOPS) Fibre Bragg Grating (FBG) DRNTU::Engineering::Mechanical engineering Maheshwari, Muneesh Annamdas, Venu Gopal Madhav Pang, John Hock Lye Tjin, Swee Chuan Asundi, Anand Krishna Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor |
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Damage monitoring is the need of the hour in this age of infrastructure. Many methods are being used for damage monitoring in different mechanical and civil structures. Some of them are strain based methods in which abruptly increased strain signifies the presence of damage in the structure. This article focuses on crack monitoring of a fixedfixed beam using fiber optic sensors which can measure strain locally or globally. The two types of fiber optic sensors used in this research are fiber Bragg grating (FBG) and fiber optic polarimetric sensors (FOPS). FBG and FOPS are used for local strain monitoring (at one point only) and global strain monitoring (in the entire specimen) respectively. At the centre of the specimen, a piezoelectric wafer active sensor (PWAS) is also attached. PWAS is used to obtain electromechanical admittance (EMA) signatures. Further, these EMA signatures are analysed to access the damage state in the beam. These multiple smart materials together provide improved information on damages in the specimen which is very valuable for the structural health monitoring (SHM) of the specimen. |
author2 |
Eggleton, Benjamin J. |
author_facet |
Eggleton, Benjamin J. Maheshwari, Muneesh Annamdas, Venu Gopal Madhav Pang, John Hock Lye Tjin, Swee Chuan Asundi, Anand Krishna |
format |
Conference or Workshop Item |
author |
Maheshwari, Muneesh Annamdas, Venu Gopal Madhav Pang, John Hock Lye Tjin, Swee Chuan Asundi, Anand Krishna |
author_sort |
Maheshwari, Muneesh |
title |
Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor |
title_short |
Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor |
title_full |
Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor |
title_fullStr |
Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor |
title_full_unstemmed |
Damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor |
title_sort |
damage monitoring using fiber optic sensors and by analysing electro-mechanical admittance signatures obtained from piezo sensor |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/88437 http://hdl.handle.net/10220/46930 |
_version_ |
1759853295720988672 |