Dirlik and Tovo-Benasciutti Spectral Methods in Vibration Fatigue: A Review with a Historical Perspective

Dirlik, Turan; Benasciutti, Denis

doi:10.3390/met11091333

Cited by 61 publications

(44 citation statements)

References 67 publications

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“…The overall mean value x and the RMS of the signal are consistent with the spectral moment of load spectrum PSD as defined in Ref. 22. Another statistical parameter used is kurtosis K, which is the fourth-order statistical moment of the load spectrum.…”

Section: Main Parameters Of Load Spectrumsupporting

confidence: 63%

“…The spectral moments—or their combinations—are usually employed to describe some statistical properties of the random load spectrum that are of interest in fatigue analysis. 22 And some spectral moments of load spectrum PSD are consistent with statistical of the time history, for example, the zero order spectral moment coincides with the variance of the random signal. The bandwidth parameters that obtained by the combinations of the spectral moments are usually used to characterize the behavior of the random process.…”

Section: Introductionmentioning

confidence: 72%

Section: Main Parameters Of Load Spectrummentioning

confidence: 99%

“…Certain global statistical parameters are frequently used to study the signal vibrational energy and amplitude range characteristics. 22,27 One of the most commonly used parameters is the overall mean value of the signal x¯, since it is an indicator of the average vibration levels.where N represents the numbers of sampling points in the load spectrum sequence, xl is the data of the sequence, and l = 1, 2 … N is the number of the sequence data.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Methods for editing random load spectra based on multi-parameter index preservation for accelerated durability testing

Zheng

Pan

Chen

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Herein, a multi-parameter index preservation-based (MPIP) load spectrum editing method is proposed for improving the efficiency of the accelerated durability testing of mechanical components. The editing process was conducted in the frequency domain by adopting a wavelet transform to decompose the load spectrum into different wavelet levels. The high-frequency wavelet levels were squared and summed at each time interval to obtain the wavelet energy distribution. The damage segments with large amplitude cycles were identified and extracted from the load spectrum based on the wavelet energy distribution. A shorter spectrum was obtained without significant changes in the indexes (the damage index, statistical index, and power spectrum density index). The effectiveness of the MPIP-based load spectrum editing method was demonstrated through the editing process of a coil spring load spectrum, along with a fatigue and damage assessment. The results show that the time duration reduction ratio of the load spectrum after editing was considerably lower than that of the load spectrum before editing. Further, the statistical indices (i.e., the mean, root mean square, and kurtosis) and power spectrum density Pearson correlation coefficient of the MPIP-based edited load spectrum were comparable to those of the original load spectrum. The results also demonstrate that the MPIP-based edited load spectrum indices and time-domain-based edited load spectrum have certain differences. However, the proposed method is more effective for accelerated durability tests. The results regarding the coil spring fatigue damage and lifetime assessment further validated this conclusion.

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Section: Main Parameters Of Load Spectrumsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 72%

Section: Main Parameters Of Load Spectrummentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

See 2 more Smart Citations

Methods for editing random load spectra based on multi-parameter index preservation for accelerated durability testing

Zheng

Pan

Chen

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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show abstract

“…The estimation of fatigue damage by Equation ( 15 ), however, is valid however only for narrow-band processes. Since wide-band processes often occur in nature, the overcoming of narrow-band approximation follows two main strategies: the first one concerns the use of correction coefficient to correct the fatigue damage estimated trough Equation ( 15 ), while the second foresees to define ad-hoc probability density function [ 52 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach

et al. 2022

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Additive manufactured structures are replacing the corresponding ones realized with classical manufacturing technique. As for metallic structures, 3D printed components are generally subjected to dynamic loading conditions which can lead to fatigue failure. In this context, it is useful, and sometimes mandatory, to determine the fatigue life of such components through numerical simulation. The methods currently available in literature for the estimation of fatigue life were originally developed for metallic structures and, therefore, it is now necessary to verify their applicability also for components fabricated with different materials. To this end, in the current activity three of the most used spectral methods for the estimation of fatigue life were used to determine the fatigue life of a 3D printed Y-shaped specimen realized in polylactic acid subjected to random loads with the aim of determining their adaptability also for this kind of materials. To certify the accuracy of the numerical prediction, a set of experimental tests were conducted in order to obtain the real fatigue life of the component and to compare the experimental results with those numerically obtained. The obtained outcomes showed there is an excellent match between the numerical and the experimental data, thus certifying the possibility of using the investigated spectral methods to predict the fatigue life of additive manufactured components.

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Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers

de N Santos,

Noppe,

Weijtjens

et al. 2024

Wind Energy

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Fatigue has become a major consideration factor in modern offshore wind farms as optimized design codes, and a lack of lifetime reserve has made continuous fatigue life monitoring become an operational concern. In this contribution, we discuss a data‐driven methodology for farm‐wide tower‐transition piece fatigue load estimation. We specifically debate the employment of this methodology in a real‐world farm‐wide setting and the implications of continuous monitoring. With reliable nacelle‐installed accelerometer data at all locations, along with the customary 10‐min supervisory control and data acquisition (SCADA) statistics and three strain gauge‐instrumented 'fleet‐leaders', we discuss the value of two distinct approaches: use of either fleet‐leader or population‐based data for training a physics‐guided neural network model with a built‐in conservative bias, with the latter taking precedence. In the context of continuous monitoring, we touch on the importance of data imputation, working under the assumption that if data are missing, then its fatigue loads should be modeled as under idling. With this knowledge at hand, we analyzed the errors of the trained model over a period of 9 months, with monthly accumulated errors always kept below . A particular focus was given to performance under high loads, where higher errors were found. The cause for this error was identified as being inherent to the use of 10‐min statistics, but mitigation strategies have been identified. Finally, the farm‐wide results are presented on fatigue load estimation, which allowed to identify outliers, whose behavior we correlated with the operational conditions. Finally, the continuous data‐driven, population‐based approach here presented can serve as a springboard for further lifetime‐based decision‐making.

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Dirlik and Tovo-Benasciutti Spectral Methods in Vibration Fatigue: A Review with a Historical Perspective

Cited by 61 publications

References 67 publications

Methods for editing random load spectra based on multi-parameter index preservation for accelerated durability testing

Methods for editing random load spectra based on multi-parameter index preservation for accelerated durability testing

Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach

Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers

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