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Development of a Modal Approach for the Fatigue Damage Evaluation of Mechanical Components Subjected to Random Loads

F. Cianetti1

1 Machine Design, Industrial Engineering Department, University of Perugia, via G.Duranti – 67, 06125 Perugia (Italy), Tel. +39 075 5853728, E-mail: cianfi@unipg.it

Structural Durability & Health Monitoring 2012, 8(1), 1-30. https://doi.org/10.3970/sdhm.2012.008.001

Abstract

This research activity refers to the problem of fatigue damage evaluation of mechanical components subjected to random loads. In detail, the present paper describes a procedure, developed by the author, that, starting from component modal modelling, can very quickly gives an answer to the request not only of a qualitative evaluation of its stress state but also of a quantitative and very reliable estimation of the component damage. This estimation is available (both in time and in frequency domain), regardless of the stress state recovery, only by an appropriate elaboration of lagrangian coordinates and elements stress mode shapes. This allows for a quick assessment of the fatigue behaviour upon the whole model or just on an elements subset, prior to the exact evaluation of the damage that always requires a very high computational burden.

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APA Style
Cianetti, F. (2012). Development of a modal approach for the fatigue damage evaluation of mechanical components subjected to random loads. Structural Durability & Health Monitoring, 8(1), 1-30. https://doi.org/10.3970/sdhm.2012.008.001
Vancouver Style
Cianetti F. Development of a modal approach for the fatigue damage evaluation of mechanical components subjected to random loads. Structural Durability Health Monit . 2012;8(1):1-30 https://doi.org/10.3970/sdhm.2012.008.001
IEEE Style
F. Cianetti, "Development of a Modal Approach for the Fatigue Damage Evaluation of Mechanical Components Subjected to Random Loads," Structural Durability Health Monit. , vol. 8, no. 1, pp. 1-30. 2012. https://doi.org/10.3970/sdhm.2012.008.001



cc Copyright © 2012 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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