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Probabilistic Assessment of Fatigue Life in Fiber Reinforced Composites

[+] Author Affiliations
Saeed Shiri, Mohammad Pourgol-Mohammad, Mojtaba Yazdani

Sahand University of Technology, Tabriz, Iran

Paper No. IMECE2014-37434, pp. V014T08A018; 6 pages
doi:10.1115/IMECE2014-37434
From:
  • ASME 2014 International Mechanical Engineering Congress and Exposition
  • Volume 14: Emerging Technologies; Engineering Management, Safety, Ethics, Society, and Education; Materials: Genetics to Structures
  • Montreal, Quebec, Canada, November 14–20, 2014
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4963-7
  • Copyright © 2014 by ASME

abstract

In this paper, a stiffness-based model is initially assessed for fatigue damage analysis of composite structures. The model is evaluated with three sets of experimental data. A residual strength model is coupled to the choice model and a modified model is developed. Numerical results show that the modified model leads to improvement of predicted fatigue lives for two-stage loadings. To determine the variations of the predicted fatigue lives, probabilistic assessment is done by Monte-Carlo simulation. Normal distribution is fitted with good agreement to the histogram and empirical CDF of the numerical life predictions.

Copyright © 2014 by ASME

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