Frequency response function curvature technique to detect damage for simply supported beam under harmonic excitation

Alshalal, Iqbal; Ali, Muslim; Mohmmed, Jabbar Hussein; Rashed, Arshad Abdula

doi:10.1063/5.0066901

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…The current RSM-based method for detecting structural damage, relying on natural frequencies and mode shapes, is unreliable due to errors [2]. Using FRF data is less error-prone but underused in RSM due to its wide range [10].…”

Section: Methodsmentioning

confidence: 99%

“…The identification of structural damage play pivotal roles in ensuring the safety, longevity, and functionality of various engineering structures [1]. Conventional damage identification methods may overlook subtle damage shifts in Frequency Response Functions (FRF), but leveraging FRF curvature can amplify these differences, improving sensitivity [2]. The FRF curvature method, as developed by Sampaio, Maia [3] proves efficacious by comparing intact and damaged structures across all frequencies.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of Measurement Points for Structural Damage Identification in Free-Free Aluminium Beam using Response Surface Methodology and FRF Curvature

Nur Raihana Sukri,

Nurulakmar Abu Husain,

Syarifah Zyurina Nordin

et al. 2024

ARAM

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This research paper presents a comprehensive comparative analysis of measurement points for structural damage identification in free-free aluminium beams using Response Surface Methodology (RSM) and Frequency Response Function (FRF) curvature. The primary objective is to determine the optimal measurement points for establishing a relationship between the input parameters and response features, thus forming a surrogate model. The investigation focuses on analyzing the influence of the number of measurement points on RSM's capability to identify structural damage. Three distinct Design of Experiment (DOE) techniques are explored: central composite design (CCD), Box-Behnken design (BBD), and D-optimal design, each incorporating different numbers of measurement points (10 elements, 15 elements, and 20 elements). The study's results highlight BBD's strong capability in detecting damage with fewer measurement points, while CCD design accurately identifies damage in finer measurement points. The findings reveal a clear trend: as the number of measurement points increases, the model becomes more refined, yielding higher stiffness reduction factor (SRF) values. The results underscore the significance of selecting an appropriate number of measurement points to enhance RSM's efficiency in identifying structural damage, thereby optimizing damage identification processes. This study contributes valuable insights into the selection of measurement points for effective structural damage identification, offering practical implications for engineering applications.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Measurement Points for Structural Damage Identification in Free-Free Aluminium Beam using Response Surface Methodology and FRF Curvature

Nur Raihana Sukri,

Nurulakmar Abu Husain,

Syarifah Zyurina Nordin

et al. 2024

ARAM

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“…Manring et al [4] provided a new method for matching dominant features of frequency response functions (FRFs) and proposed a slicing and shifting method where the key features of a baseline FRF are compared with a similar FRF using cross-correlation and a log-frequency shift (LFS). An upgraded technique based on the finite element approach was proposed by Alshalal et al [5] for the identification of the extent of the damage for a simply supported steel beam via the frequency response function curvature and its position. Ayisha et al [6] presented an improved frequency response function curvature method which is both baseline-free and output-only.…”

Section: Introductionmentioning

confidence: 99%

Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods

Cui,

Wang,

Song

2023

International Journal of Aerospace Engineering

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Rotor blades are one of the key components of helicopter. If the blades are damaged, the safety and reliability of the helicopter will be seriously affected. Therefore, it is necessary to investigate the damage identification of the rotating blades. In this paper, a rotating cantilever beam is used to model the rotor blade. Based on the assumed mode method and Hamilton’s principle, the equation of motion is formulated, and the correctness of the model is verified by numerical and experimental studies. Altogether, two methods are used to identify the damages on the blade. The first one is the cluster analysis method based on the fuzzy C-mean theory. In order to reduce the dimension of the signal features, the singular value decomposition is introduced. The second method is the curvature of frequency response function method that can be used to determine the exact position of damages. Simulation results show that one can use fuzzy C-mean method to determine whether there is damage on the blade firstly and then determine the exact position of the damage through the curvature of frequency response function method.

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Frequency response function curvature technique to detect damage for simply supported beam under harmonic excitation

Cited by 2 publications

References 16 publications

Comparative Analysis of Measurement Points for Structural Damage Identification in Free-Free Aluminium Beam using Response Surface Methodology and FRF Curvature

Comparative Analysis of Measurement Points for Structural Damage Identification in Free-Free Aluminium Beam using Response Surface Methodology and FRF Curvature

Damage Identification of Rotating Blades Based on Fuzzy C-Means and Frequency Response Function Curvature Methods

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