EventsThe 3rd International Online Conference on Metals
Published
This submission belongs to the session S6. Computational Metallurgy, AI, and Multiscale Modeling of the event The 3rd International Online Conference on Metals
Published date
08 Oct, 2026
Academic Editor
author-avatarErnst Gamsjäger
Citation
Anurag Dubey, Vamsikrishna Undavalli, Sonya Redjala, Emmanuel Attal, A Study of a Normalized Natural Frequency Strategy for Localization and Quantification of Defects and Material Degradation in Fixed–Fixed Metal Beam Structures, in Proceedings of The 3rd International Online Conference on Metals, 12 October–14 October 2026, MDPI: Basel, Switzerland
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A Study of a Normalized Natural Frequency Strategy for Localization and Quantification of Defects and Material Degradation in Fixed–Fixed Metal Beam Structures

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Vamsikrishna Undavalli 2
Sonya Redjala 3
Emmanuel Attal 4
1. IMT Nord Europe
2. PhD student, Department of Mechanical Engineering, University of Alabama, Tuscaloosa, AL 35487, USA
3. Department of Mechanical Engineering, Mouloud Mammeri University, Tizi Ouzou, Algeria
4. IUT de Chartres, Université d’Orleans, PRISME (UR 4229), 28000 Chartres, France
Abstract

Structural Health Monitoring (SHM) plays an important role in ensuring the safety and reliability of engineering structures such as bridges, aircraft components, and mechanical systems. Among the available techniques, vibration-based methods have gained significant attention because structural defects lead to measurable changes in dynamic properties, particularly natural frequencies. Detecting and quantifying such changes can provide valuable information for early defect identification and maintenance planning. This work presents a vibration method using normalization of natural frequencies to identify defects in a beam structure. This method is followed by performing the normalization ratio of natural frequencies from defected to intact finite element (FE) models of fixed–fixed beam structures. These normalized ratios are used to locate and estimate the extent of defects. Different defects cases are investigated using the normalized ratio of natural frequencies. Several numerical steps are performed to evaluate the applicability of the proposed method. The defect can be localized by considering normalized frequencies with the different divided defect zones in the beam. In addition, the defect magnitude can be estimated by calculating the normalized natural frequencies values to variations of defect magnitudes. The numerical study demonstrates that the proposed normalized frequency approach can effectively localize defects and estimate their severity, highlighting its potential for practical SHM applications in beam-type structures.

Keywords
Defect identification
natural frequency
vibration analysis
vibration condition monitoring
normalized data
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