Editors: | F. Kongoli, M. de Campos, S. Lewis, S. Miller, S. Thomas |
Publisher: | Flogen Star OUTREACH |
Publication Year: | 2019 |
Pages: | 171 pages |
ISBN: | 978-1-989820-12-4 |
ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
Structures made from high strength metal alloys (aluminum, steel, and titanium) are being used as structural/load bearing members in many areas including transportation, civil infrastructure, offshore structures, water distribution networks, and nuclear industries. Such systems operate in harsh and uncertain environments and exhibit a strong propensity to pitting and stress corrosion cracking. Pitting corrosion-fatigue is recognized to be one of the major potential degradation mechanisms in aging infrastructures [1-4], so much so that such a combination, when left unchecked, can lead to catastrophic failures. Although pits can initiate from both physical and chemical heterogeneities on the surface, the role of inclusions and second-phase particles (constituent particles) in inducing pitting/stress corrosion cracking in aluminum metal alloys is more common.
Corrosion-fatigue in metal alloys generally involves the formation of pits, pit growth, nucleation of cracks from pits, and the eventual crack propagation to failure. Corrosion pits seem to significantly shorten the fatigue crack initiation, decrease the threshold stress intensity by 50% or more, and lower the fatigue strength by about 40%. Even though the corrosion and fatigue mechanisms have been studied well individually, the coupled effects of corrosion and fatigue have not been studied in detail [5]. With corrosion-fatigue being generally recognized by the structural integrity community as a potential cause for failure in many infrastructural structures and materials, and with replacement of such components being unlikely due to excessive costs, the need for predictive methodologies and models cannot be overstated. In order to continue operating structural systems worldwide in a reliable and sustainable manner, however, better prediction methods based on additional knowledge of the mechanisms associated with corrosion and fatigue are required. This, in turn, would also reduce repair and maintenance costs.
Quantitative analysis through multiscale discrete models for corrosion through computational simulations and imaging data that correlates to pitting and cracking is being investigated. These analysis models will be presented and discussed at the conference.