2012
DOI: 10.1002/9781118217542.ch11
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Image‐Based 2D Numerical Modeling of Oxide Formation in Self‐Healing CMCS

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Cited by 2 publications
(2 citation statements)
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References 14 publications
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“…Choosing a time step linked to gas diffusion t g would lead to extremely slow computations. In a first attempt, it had been chosen to consider the diffusion Equation (3) as steady, while the time integration would only rely on Equations (9)-(12) [33], but after the creation of a liquid domain (h g = 0), this was no longer possible. Therefore, here, the initial time step was set to the geometrical average of both time scales: ∆t = ∆t l ∆t g (24) and then, after the healing event occurred, the time step was set to ∆t l .…”
Section: Space and Time Discretizationmentioning
confidence: 99%
“…Choosing a time step linked to gas diffusion t g would lead to extremely slow computations. In a first attempt, it had been chosen to consider the diffusion Equation (3) as steady, while the time integration would only rely on Equations (9)-(12) [33], but after the creation of a liquid domain (h g = 0), this was no longer possible. Therefore, here, the initial time step was set to the geometrical average of both time scales: ∆t = ∆t l ∆t g (24) and then, after the healing event occurred, the time step was set to ∆t l .…”
Section: Space and Time Discretizationmentioning
confidence: 99%
“…This motivates the development of enhanced models of oxidation progression in a complex architecture. Several directions are possible, for instance projection of the 3D system in a 1D model [12], or the production of 2D models placed in crack planes, currently under development [13]. These models are intended to incorporate in the long term all the morphological elements that can be extracted from tomographic scans.…”
Section: Oxidation Investigationsmentioning
confidence: 99%