On the inverse power laws for accelerated random fatigue testing

Date

2008-06-01T00:00:00Z

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Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science B.V., Amsterdam.

Department

Type

Article

ISSN

0142-1123

Format

Free to read from

Citation

G. Allegri, X. Zhang. On the inverse power laws for accelerated random fatigue testing, International Journal of Fatigue, Vol. 30, Issue 6, June 2008, pp. 967- 977

Abstract

This paper addresses the usage of inverse power laws in accelerated fatigue testing under wide-band Gaussian random loading. The aim is not at predicting an absolute value of fatigue life but assessing the fatigue damage relative accumulation. The widely accepted inverse power scaling laws in fatigue damage assessment is discussed, reviewing the engineering standards and pointing out their inherent limitations. A physically consistent general scaling law is obtained by rigorous mathematical analysis in the framework of random vibration theory and the rules of safe-life fatigue analysis. Simplifications of the general scaling rule are presented, highlighting conditions under which the current standard practice could provide a correct an acceptable estimation of the relative fatigue damage accumulation.

Description

Software Description

Software Language

Github

Keywords

Fatigue, Inverse power law, Random loading, Cycle counting, Accelerated testing

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