Vibration Fatigue and Simulation of Damage on Shaker Table Tests: The Influence of Clipping the Random Drive Signal

Kihm, Frédéric; Delaux, David

doi:10.1016/j.proeng.2013.12.107

Cited by 14 publications

(6 citation statements)

References 4 publications

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“…Luas permukaan bagian dalam pegas ulir lebih kecil dibandingkan luar sehingga titik kritis terjadi di bagian dalam. Hal ini mirip seperti hasil penelitian Weiguo et al [31], Abidin et al [32] dan Zhu et al [33]. Konsentrasi tegangan yang terjadi pada lower suspension arm berdasarkan analisa statis tersedia dalam beberapa kontur warna seperti yang ditunjukkan Gambar 9.…”

Section: Distribusi Teganganunclassified

Prediksi Usia Kelelahan Pegas Ulir dan Lower Suspension Arm Berdasarkan Pendekatan Strain Life Berdasarkan Bentuk Permukaan Jalan

Ajinar¹,

Azhari

2022

jes

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This study aims to determine the effect of road surface contours on fatigue life of coil springs and lower suspension arm. In this study, strain gauge was affixed to the critical point of the minibus front suspension coil springs based on stress distribution. Strain signal obtained was analyzed using the Coffin-Manson, Morrow, and SWT approaches. From the results of the chemical composition test, it was found that the coil springs were made of SAE 5160 and lower suspension arm made of AISI 1513. From the results of this study it can be concluded that when the vehicle drive on the damaged road, coil spring and lower suspension arm received greater stress so that provide shorter fatigue life. Fatigue life of coil spring on rough roads is 16% lower than city roads and 7% lower than flat roads. Whereas fatigue life of lower suspension arm on rough roads is 27% lower than city roads and 0.03% lower than flat roads. So that the coil spring components fail faster than the lower suspension arm. This is because the contour of the road surface provides a vertical load so that it is in accordance with the function of the coil spring which works to reduce the load vertically while the lower suspension arm function holds the load when turning.

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Section: Distribusi Teganganunclassified

Prediksi Usia Kelelahan Pegas Ulir dan Lower Suspension Arm Berdasarkan Pendekatan Strain Life Berdasarkan Bentuk Permukaan Jalan

Ajinar¹,

Azhari

2022

jes

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“…The signal also contains high vibrational energy as the r.m.s value is 81.4 µɛ. Higher r.m.s indicates high energy content which also indicates higher fatigue damage [13].…”

Section: Time Domainmentioning

confidence: 99%

“…Kurtosis measures the peakedness and the Gaussianity of a distribution. The strain signal should be categorised as non-Gaussian or non-stationary data since its kurtosis is more than 3 [13]. It is common to experience non-stationary loading in automotive applications.…”

Section: Time Domainmentioning

confidence: 99%

Durability Analysis for Coil Spring Suspension Based on Strain Signal Characterisation

Hao

Abdullah²,

Ariffin³

et al. 2018

IJET

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This paper aims to predict the durability of an automobile coil spring by characterising the captured strain data. The load histories collected at coil spring are often presented in time domain but time domain cannot provide sufficient information for fatigue life prediction. The objective of this study was to characterise the strain signal in time domain, frequency domain and time-frequency domain for fatigue life prediction. The signal obtained in time domain was used to predict the fatigue life of the coil spring through Rainflow cycle counting technique and models of strain-life relationships. In frequency domain, fast Fourier transform revealed that the frequency components in the strain signal ranged between 0-5 Hz. The frequencies can be further categorised into two ranges: 0-0.3 Hz and 1-2 Hz. Power spectral density confirmed that the frequencies with high energy content were 0-5 Hz and the total energy content in the signal is 4.0872x103 µɛ2. Short time Fourier transform can identify the local time and frequency properties of the signal but it has a limitation in time-frequency resolutions. Wavelet transform can provide a better time-frequency resolutions and it confirmed that the transients in the time domain had frequency range of 1-2 Hz. In summary, this study revealed different possible approaches of signal processing in fatigue life assessment of automotive components as guidance for the selection of suitable approach based on the type of information needed for the analysis.

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“…The harmonic analysis results can help an engineer understand the significance of different model designs effectively. Additionally, harmonic analysis can be used alongside physical testing, such as a shaker table with sine sweep ("Closed-Loop Random Vibration Control of a Shaker Table with a Microcomputer: M. L. Wang, Soil Dynamics & Earthquake Engineering, 13(4), 1994, Pp 259-266," 1995Kihm & Delaux, 2013;Wang, 1994) to correlate the natural frequencies and damping models.…”

Section: Introductionmentioning

confidence: 99%

Forced Frequency Response Analysis of a Gudgeon Pin

Gulsevincler

2022

EJOSAT

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In this study, forced frequency response analysis was applied on the gudgeon pin. Ansys Mechanical 19.2 program was used to analyze the vibration on the gudgeon pin. Once completed in the finite element analysis, a note from the modal results, the model's natural frequencies range from 38721 to 79346 Hertz for the first 12 modes. According to the modal analysis results, the gudgeon pin will not be subjected to resonance during working. Therefore, a frequency scan including modal analysis is required to detect resonant frequencies that may coincide with the natural frequencies of the first 12 modes obtained in modal analysis. Consequently, harmonic analysis has been solved using the mode superposition method with 50 intervals with 1000 Hz steps in the range of 30000-80000 Hz. To dampen the resonant frequencies, harmonic analyzes were repeated using six different constant damping ratios, and the results were compared.

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Vibration Fatigue and Simulation of Damage on Shaker Table Tests: The Influence of Clipping the Random Drive Signal

Cited by 14 publications

References 4 publications

Prediksi Usia Kelelahan Pegas Ulir dan Lower Suspension Arm Berdasarkan Pendekatan Strain Life Berdasarkan Bentuk Permukaan Jalan

Prediksi Usia Kelelahan Pegas Ulir dan Lower Suspension Arm Berdasarkan Pendekatan Strain Life Berdasarkan Bentuk Permukaan Jalan

Durability Analysis for Coil Spring Suspension Based on Strain Signal Characterisation

Forced Frequency Response Analysis of a Gudgeon Pin

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