Fatigue damage detection using cyclostationarity
In this paper, we present the second-order of cyclostationarity to detect and diagnose the fatigue damage of the stainless steel 316l subjected to low cycle fatigue (LCF). LCF is defined by repetitive cycling in a low stress and a short period. The vibration response of material subjected to LCF pro...
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Published in | Mechanical systems and signal processing Vol. 58-59; pp. 128 - 142 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.06.2015
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Subjects | |
Online Access | Get full text |
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Summary: | In this paper, we present the second-order of cyclostationarity to detect and diagnose the fatigue damage of the stainless steel 316l subjected to low cycle fatigue (LCF). LCF is defined by repetitive cycling in a low stress and a short period. The vibration response of material subjected to LCF provides information linked to the solicitation and to the fatigue damage. Thus, we considered a cantilever beam with breathing cracks and assumed that under the solicitation, breathing cracks generates non-linearity in the stiffness of the material and this one decreases with the damage. We used the second-order of the cyclostationarity to reveal this non-linearity and showed that the fatigue provide a random component in the signal, which increases with the fatigue damage. Thus, in the specific case of a material subjected to LCF, with a non-linear stiffness, we propose a new methodology to detect and diagnose the fatigue damage using a vibration signal. This methodology is based on the second order of the cyclostationarity.
•Robust diagnostic proposal of damage based on vibrational measurement with particular regard to the second-order of cyclostationarity.•Cyclostationarity analysis for crack detection.•Mechanical simulation of damage in the case of a cantilever beam subjected to low cycle fatigue.•Experimental crack detection by cyclostationarity. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0888-3270 1096-1216 |
DOI: | 10.1016/j.ymssp.2014.11.010 |