Published in

Elsevier, Engineering Fracture Mechanics, (145), p. 143-160, 2015

DOI: 10.1016/j.engfracmech.2015.07.008

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Real-time prognosis of random loaded structures via Bayesian filtering: A preliminary discussion

Journal article published in 2015 by Matteo Corbetta, Claudio Sbarufatti, Andrea Manes, Marco Giglio
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Particle filters are effective tools for the monitoring of damage propagation phenomena. However, a common hypothesis of particle filters for damage prognosis is the constant-amplitude fatigue loading affecting the damage growth. This work constitutes a preliminary analysis of the performance of particle filtering in case of random load, relaxing the hypothesis of constant-amplitude fatigue. Two case studies referring to stationary random loads are introduced: the first concerning a narrow-band stress history, while the second focusing on a wide-band stress spectrum. A solution for each case study is provided and validated using numerical simulations of fatigue cracks in a metallic plate.