Damage detection in concrete structures with impedance data and machine learning

Anjum, Asraar and Hrairi, Meftah and Shaikh, Abdul Aabid and Mohd Yatim, Norfazrina Hayati and Ali, Maisarah (2024) Damage detection in concrete structures with impedance data and machine learning. Bulletin of the Polish Academy of Sciences: Technical Sciences, 72 (3). pp. 1-11. ISSN 0239-7528 E-ISSN 2300-1917

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Abstract

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 was assessed. This work involved the different ML models to identify the accurate model for concrete damage detection using EMI data. Each model was evaluated with evaluation metrics with the prediction/true class and each class was classified into three levels for testing and trained data. Experimental findings indicate that as damage to the structure increases, the responsiveness of PZT decreases. Therefore, we examined the ability of ML models trained on existing experimental data to predict concrete damage using the EMI data. The current work successfully identified the approximately close ML models for predicting damage detection in mortar samples. The proposed ML models not only streamline the identification of key input parameters with models but also offer cost-saving benefits by reducing the need for multiple trials in experiments. Lastly, the results demonstrate the capability of the model to produce precise predictions.

Item Type:	Article (Journal)
Uncontrolled Keywords:	concrete structures; damage; piezoelectric material; electromechanical impedance; machine learning
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA349 Mechanics of engineering. Applied mechanics T Technology > TA Engineering (General). Civil engineering (General) > TA630 Structural engineering (General) T Technology > TH Building construction > TH3301 Maintenance and repair
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechanical Engineering Kulliyyah of Engineering > Department of Civil Engineering
Depositing User:	Prof. Dr. Meftah Hrairi
Date Deposited:	10 Jun 2024 08:16
Last Modified:	10 Jun 2024 09:34
URI:	http://irep.iium.edu.my/id/eprint/112523

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