Development of Fatigue Loading Spectra 1989
DOI: 10.1520/stp10355s
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Variable-Amplitude Load Models for Fatigue Damage and Crack Growth

Abstract: Load models for fatigue analysis and testing are tailored to the level of complexity required for the application. Random variable models are developed and applied to analyses in which load sequence effects can be neglected. Conventional narrow-band load peak and range distributions are applied to crack initiation and growth. It is shown that narrow-band load models provide useful, conservative life estimates for general Gaussian loadings. Distributions of significant peaks and ranges for wide-band loadings ar… Show more

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Cited by 8 publications
(3 citation statements)
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“…2). There are three most common cycle counting methods: level crossing [25], peak cycle [26] and rainflow cycle counting method [27]. Frendahl and Rychlik [28] studied the accuracy of the rainflow counting method among the other common cycle counting methods and rated that the rainflow counting method as the most accurate method.…”
Section: Cycle Counting Methodsmentioning
confidence: 99%
“…2). There are three most common cycle counting methods: level crossing [25], peak cycle [26] and rainflow cycle counting method [27]. Frendahl and Rychlik [28] studied the accuracy of the rainflow counting method among the other common cycle counting methods and rated that the rainflow counting method as the most accurate method.…”
Section: Cycle Counting Methodsmentioning
confidence: 99%
“…The most common cycle counting methods are level crossing [51], peak cycle [52], and rainflow cycle counting [53]. The last method is indicated by Eurocode 3 for evaluation of the stress history and in [54] it is considered as the most accurate method among the other common methods.…”
Section: Rainflow Countingmentioning
confidence: 99%
“…Filter. A "race track" filtering algorithm has been incorporated into the preprocessing algorithms to eliminate "small" stress cycles (6). In the technique used, the operator sets a "threshold" value for the algorithm.…”
Section: Pre-count Algorithmsmentioning
confidence: 99%