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Research Papers

Critical Evaluation of Frequency-Domain Approach for Fatigue Damage Estimation

[+] Author and Article Information
Gašper Vidic

Faculty of Mechanical Engineering,
University of Ljubljana,
Aškerčeva 6,
Ljubljana SI-1000, Slovenia
e-mail: gasper.vidic@fs.uni-lj.si

Marko Nagode

Faculty of Mechanical Engineering,
University of Ljubljana,
Aškerčeva 6,
Ljubljana SI-1000, Slovenia
e-mail: marko.nagode@fs.uni-lj.si

Contributed by the Materials Division of ASME for publication in the JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY. Manuscript received April 18, 2013; final manuscript received May 28, 2014; published online June 12, 2014. Assoc. Editor: Mohammed Zikry.

J. Eng. Mater. Technol 136(3), 031008 (Jun 12, 2014) (7 pages) Paper No: MATS-13-1065; doi: 10.1115/1.4027792 History: Received April 18, 2013; Revised May 28, 2014

Frequency-domain approach for fatigue damage estimation and lifetime prediction of mechanical components is often used for its computational efficiency and the capability to give a synthetic representation of a random process. The problem with the approach is that the input data, the stress power spectral density (PSD), may not include the information about potential small amount of high amplitude cycles which can substantially increase the accumulated fatigue damage. The paper investigates the scatter of the accumulated damage in generated random stress histories and compares them to the results obtained by a frequency-domain approach—the Dirlik method. The results show a possibility of a severe underestimation of accumulated damage when using frequency-domain approach. In case a typical stress, history of a certain mechanical component includes sporadic high amplitude cycles their effect shoud be taken into consideration when using frequency-domain approach.

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Figures

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Fig. 1

Comparison of Dirlik method with conventional time-domain methods

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Fig. 2

Typical stress history generated from PSD(NB) (a) and (b) and PSD4(1)(c) and (d)

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Fig. 3

PSD shapes used in numerical simulations; PSD(NB) (a), PSD(1) (b), and PSD(2) (c)

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Fig. 4

A comparison of stress histories generated from PSD4(1), X(1) (a) and X(2) (b)

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Fig. 5

Fatigue damage accumulation in X(2) (a) and the comparison of accumulated damage growth of X(1) and X(2) (b)

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