2018
DOI: 10.1007/s11831-018-09310-y
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A Review of Finite Element Method Models for Nuclear Graphite Applications

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Cited by 19 publications
(5 citation statements)
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“…However, exposure to the reactor environment causes intrinsically generated stresses due to oxidation, thermal gradients, and irradiation-induced dimensional change that can be significant. Modeling fracture initiation and propagation in graphite components requires capturing these effects, as summarized in a recent review paper [ 25 ] by Arregui-Mena et al in which the authors have presented a wide perspective on finite element studies conducted since the early 1970s using different commercial, noncommercial, general, and graphite-specialized codes. These phenomena are driven by multiple physics (e.g., heat transfer and radiation transport).…”
Section: Fracture Propagation Modelingmentioning
confidence: 99%
“…However, exposure to the reactor environment causes intrinsically generated stresses due to oxidation, thermal gradients, and irradiation-induced dimensional change that can be significant. Modeling fracture initiation and propagation in graphite components requires capturing these effects, as summarized in a recent review paper [ 25 ] by Arregui-Mena et al in which the authors have presented a wide perspective on finite element studies conducted since the early 1970s using different commercial, noncommercial, general, and graphite-specialized codes. These phenomena are driven by multiple physics (e.g., heat transfer and radiation transport).…”
Section: Fracture Propagation Modelingmentioning
confidence: 99%
“…In refs. [8,22], the accuracy and robustness of this approach were examined. After augmentation, all data are first split into two separate sections to ensure the feasibility of the experiment: a training set and a test set.…”
Section: Overall Architecturementioning
confidence: 99%
“…Finite element analysis (FEA) has been extensively used in a diverse field of applications [1][2][3][4]. Simulations have reduced the number of prototypes and tests required for optimization, shortening the product development cycle considerably [5].…”
Section: Introductionmentioning
confidence: 99%