Damage detection in concrete structures with impedance data and machine learning

This study aims to evaluate the effectiveness of machine learning (ML) models in predicting concrete damage using electromechanical impedance (EMI) data. From numerous experimental evidence, the damaged mortar sample with surface-mounted piezoelectric (PZT) material connected to the EMI response w...

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Bibliographic Details

Main Authors:	Anjum, Asraar, Hrairi, Meftah, Shaikh, Abdul Aabid, Mohd Yatim, Norfazrina Hayati, Ali, Maisarah
Format:	Article
Language:	en en
Published:	Polish Academy of Sciences 2024
Subjects:	TA349 Mechanics of engineering. Applied mechanics TA630 Structural engineering (General) TH3301 Maintenance and repair
Online Access:	http://irep.iium.edu.my/112523/1/112523_Damage%20detection%20in%20concrete%20structures.pdf http://irep.iium.edu.my/112523/2/112523_Damage%20detection%20in%20concrete%20structures_SCOPUS.pdf http://irep.iium.edu.my/112523/ https://journals.pan.pl/dlibra/publication/149178/edition/130172/content
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