Robust and High-Precision Harmonic Estimation of Shaking Table Vibrations Using Accelerometer and Cheetah Optimization.
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| Title: | Robust and High-Precision Harmonic Estimation of Shaking Table Vibrations Using Accelerometer and Cheetah Optimization. |
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| Authors: | SUNCA, Kadir Yasin1 kadirsunca@subu.edu.tr, KOÇKANAT, Serdar2 skockanat@cumhuriyet.edu.tr |
| Source: | Technical Gazette / Tehnički Vjesnik. 2026, Vol. 33 Issue 2, p851-862. 12p. |
| Subjects: | Shaking table tests, Optimization algorithms, Accelerometers, Mechanical vibration research, Metaheuristic algorithms, Signal processing, Vibration (Mechanics), Harmonic analysis (Mathematics) |
| Abstract: | The accuracy of shaking tables in seismic simulations is limited by harmonic distortions in acceleration signals resulting from the inherent nonlinearity of the system. This study presents a novel approach based on the Cheetah Optimization (CO) algorithm for estimating the amplitude and phase components of these harmonics. The algorithm's performance was first validated against other metaheuristic methods in the literature on a standard test signal and was found to be successful. Subsequently, the CO algorithm was applied to data obtained from a real-time shaking table experimental setup. These experiments included testing the system under loaded and unloaded conditions, at three different displacement levels (3.55 mm, 5 mm, 10 mm) and with three different waveforms: sinusoidal, triangular, and square. The results showed that the CO algorithm exhibited very high estimation accuracy for sinusoidal signals in both load cases. However, the algorithm's performance degraded under load on triangular signals and struggled to accurately model the signal in all scenarios due to the sharp transitions and high harmonic content of square waveforms. These findings suggest that while CO has proven to be an effective method for shaking table vibration analysis, particularly for sinusoidal signals, additional model improvements are necessary for more complex waveforms. [ABSTRACT FROM AUTHOR] |
| Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193665251 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Robust and High-Precision Harmonic Estimation of Shaking Table Vibrations Using Accelerometer and Cheetah Optimization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22SUNCA%2C+Kadir+Yasin%22">SUNCA, Kadir Yasin</searchLink><relatesTo>1</relatesTo><i> kadirsunca@subu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22KOÇKANAT%2C+Serdar%22">KOÇKANAT, Serdar</searchLink><relatesTo>2</relatesTo><i> skockanat@cumhuriyet.edu.tr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technical+Gazette+%2F+Tehnički+Vjesnik%22">Technical Gazette / Tehnički Vjesnik</searchLink>. 2026, Vol. 33 Issue 2, p851-862. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Shaking+table+tests%22">Shaking table tests</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerometers%22">Accelerometers</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+vibration+research%22">Mechanical vibration research</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Vibration+%28Mechanics%29%22">Vibration (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Harmonic+analysis+%28Mathematics%29%22">Harmonic analysis (Mathematics)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The accuracy of shaking tables in seismic simulations is limited by harmonic distortions in acceleration signals resulting from the inherent nonlinearity of the system. This study presents a novel approach based on the Cheetah Optimization (CO) algorithm for estimating the amplitude and phase components of these harmonics. The algorithm's performance was first validated against other metaheuristic methods in the literature on a standard test signal and was found to be successful. Subsequently, the CO algorithm was applied to data obtained from a real-time shaking table experimental setup. These experiments included testing the system under loaded and unloaded conditions, at three different displacement levels (3.55 mm, 5 mm, 10 mm) and with three different waveforms: sinusoidal, triangular, and square. The results showed that the CO algorithm exhibited very high estimation accuracy for sinusoidal signals in both load cases. However, the algorithm's performance degraded under load on triangular signals and struggled to accurately model the signal in all scenarios due to the sharp transitions and high harmonic content of square waveforms. These findings suggest that while CO has proven to be an effective method for shaking table vibration analysis, particularly for sinusoidal signals, additional model improvements are necessary for more complex waveforms. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17559/TV-20250820002917 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 851 Subjects: – SubjectFull: Shaking table tests Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Accelerometers Type: general – SubjectFull: Mechanical vibration research Type: general – SubjectFull: Metaheuristic algorithms Type: general – SubjectFull: Signal processing Type: general – SubjectFull: Vibration (Mechanics) Type: general – SubjectFull: Harmonic analysis (Mathematics) Type: general Titles: – TitleFull: Robust and High-Precision Harmonic Estimation of Shaking Table Vibrations Using Accelerometer and Cheetah Optimization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: SUNCA, Kadir Yasin – PersonEntity: Name: NameFull: KOÇKANAT, Serdar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13303651 Numbering: – Type: volume Value: 33 – Type: issue Value: 2 Titles: – TitleFull: Technical Gazette / Tehnički Vjesnik Type: main |
| ResultId | 1 |
