Open Access
EPJ Nuclear Sci. Technol.
Volume 7, 2021
Article Number 4
Number of page(s) 21
Published online 19 February 2021
  1. S. Zinkle, G. Was, Acta Mater. 61, 735 (2013) [CrossRef] [Google Scholar]
  2. D. Féron, E. Herms, B. Tanguy, J. Nuclear Mater. 427, 364 (2012) [CrossRef] [Google Scholar]
  3. P. Scott, An overview of materials degradation by stress corrosion in PWRs, in EUROCORR 2004: long term prediction and modeling of corrosion, France (IAEA/INIS, 2004) [Google Scholar]
  4. P. Andresen, J. Hickling, A. Ahluwalia, J. Wilson, Corrosion 64, 707 (2008) [CrossRef] [Google Scholar]
  5. Q. Peng, T. Shoji, H. Yamauchi, Y. Takeda, Corros. Sci. 49, 2767 (2007) [CrossRef] [Google Scholar]
  6. L. Lima, M. Schvartzman, C. Figueiredo, A. Bracarense, Corrosion 67, 085004 (2011) [CrossRef] [Google Scholar]
  7. A. Turnbull, Corros. Sci. 34, 921 (1993) [CrossRef] [Google Scholar]
  8. Z. Zhai, M. Toloczko, M. Olszta, S. Bruemmer, Corros. Sci. 123, 76 (2017) [CrossRef] [Google Scholar]
  9. Z. Shen, K. Arioka, S. Lozano-Perez, Corros. Sci. 132, 244 (2018) [CrossRef] [Google Scholar]
  10. T. Couvant, M. Wehbi, C. Duhamel, J. Crépin, R. Munier, Development of a local model to predict SCC: preliminary calibration of parameters for nickel alloys exposed to primary water, in 17th International Conference on Environmental Degradation of Materials in Nuclear Systems-Water Reactors (2015) [Google Scholar]
  11. T. Couvant, M. Wehbi, C. Duhamel, J. Crépin, R. Munier, Grain boundary oxidation of nickel base welds 182/82 in simulated PWR primary water, in 17th international conference on environmental degradation of materials in nuclear power systems-water reactors (2015), pp. 25–p [Google Scholar]
  12. M. Wehbi, T. Couvant, C. Duhamel, J. Crepin, Mater. High Temp. 32, 1 (2015) [CrossRef] [Google Scholar]
  13. B. Sudret, H. Dang, M. Berveiller, A. Zeghadi, T. Yalamas, Front. Struct. Civil Eng. 9, 121 (2015) [CrossRef] [Google Scholar]
  14. S. Arwade, M. Popat, Probab. Eng. Mech. 24, 117 (2009) [CrossRef] [Google Scholar]
  15. K. Sobczyk, Probab. Eng. Mech. 23, 444 (2008) [CrossRef] [Google Scholar]
  16. D. Jeulin, Eng. Comput. 10, 81 (1993) [CrossRef] [Google Scholar]
  17. J. Dohr, D. Armstrong, E. Tarleton, T. Couvant, S. Lozano-Perez, Thin Solid Films 632, 17 (2017) [CrossRef] [Google Scholar]
  18. S. Bruemmer, M. Olszta, M. Toloczko, D. Schreiber, Corros. Sci. 131, 310 (2018) [CrossRef] [Google Scholar]
  19. G. Bertali, F. Scenini, M. Burke, Corros. Sci. 111, 494 (2016) [CrossRef] [Google Scholar]
  20. T. Couvant, D. Haboussa, S. Meunier, G. Nicolas, E. Julan, K. Sato, F. Delabrouille, A simulation of IGSCC of austenitic stainless steels exposed to primary water, in 17th International Conference on Environmental Degradation of Materials in Nuclear Power Systems-Water Reactors, Ottawa, CA, August 9–13 (2015), pp. 1987–2008 [Google Scholar]
  21. P. Tahmasebi, A. Hezarkhani, M. Sahimi, Comput. Geosci. 16, 779 (2012) [CrossRef] [Google Scholar]
  22. P. Tahmasebi, M. Sahimi, J. Caers, Comput. Geosci. 67, 75 (2014) [CrossRef] [Google Scholar]
  23. M. Hall Jr, Corros. Sci. 125, 152 (2017) [CrossRef] [Google Scholar]
  24. R. Shen, P. Efsing, Ultramicroscopy 184, 156 (2018) [CrossRef] [Google Scholar]
  25. T. Couvant, Prediction of IGSCC as a Finite Element Modeling Post-analysis, in Environmental Degradation of Materials in Nuclear Power Systems (Springer, 2017), pp. 319–334 [Google Scholar]
  26. M. Bilodeau, F. Meyer, M. Schmitt, in Space, Structure and Randomness: Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology, Vol. 183 (Springer, 2007) [Google Scholar]
  27. P. Mukherjee, C.Y. Wang, J. Electrochem. Soc. 153, A840 (2006) [CrossRef] [Google Scholar]
  28. C. Lantuéjoul, Geostatistical simulations - Models and algorithms (Springer, 2002) [CrossRef] [Google Scholar]
  29. X. Dang, Ph.D. thesis, Université Blaise Pascal-Clermont-Ferrand II (2012) [Google Scholar]
  30. J.P. Chilès, P. Delfiner, Geostatistics: Modeling spatial uncertainty (Wiley, New-York, 1999) [Google Scholar]
  31. L. Brewer, M. Othon, L. Young, T. Angeliu, Microsc. Microanaly. 12, 85 (2006) [CrossRef] [Google Scholar]
  32. P. Tahmasebi, Multiple Point Statistics: A Review, in Handbook of Mathematical Geosciences: Fifty Years of IAMG, edited by B. Daya Sagar, Q. Cheng, F. Agterberg (Springer International Publishing, Cham, 2018), pp. 613–643 [Google Scholar]
  33. G. Mariethoz, J. Caers, Multiple-point geostatistics: stochastic modeling with training images (John Wiley & Sons, 2014) [Google Scholar]
  34. X. Tan, P. Tahmasebi, J. Caers, Math. Geosci. 46, 149 (2014) [CrossRef] [Google Scholar]
  35. B. Daya Sagar, Q. Cheng, F. Agterberg, Handbook of Mathematical Geosciences: Fifty Years of IAMG (Springer, 2018) [CrossRef] [Google Scholar]
  36. Y. Rubner, C. Tomasi, L. Guibas, Int. J. Comput. Vision 40, 99 (2000) [CrossRef] [Google Scholar]
  37. K. Ni, X. Bresson, T. Chan, S. Esedoglu, Int. J. Comput. Vis. 84, 97 (2009) [CrossRef] [Google Scholar]
  38. P. Renard, D. Allard, Adv. Water Resour. 51, 168 (2013) [CrossRef] [Google Scholar]
  39. M. Rizzo, G. Székely, Wiley Interdiscip. Rev. 8, 27 (2016) [CrossRef] [Google Scholar]
  40. T.T. Nguyen, J. Bolivar, J. Réthoré, M.C. Baietto, M. Fregonese, Int. J. Solids Struct. 112, 65 (2017) [CrossRef] [Google Scholar]
  41. E. Dijkstra, Numer. Math. 1, 269 (1959) [CrossRef] [MathSciNet] [Google Scholar]
  42. A. Clair, M. Foucault, O. Calonne, Y. Lacroute, L. Markey, M. Salazar, V. Vignal, E. Finot, Acta Mater. 59, 3116 (2011) [Google Scholar]
  43. A. Wilkinson, G. Meaden, D. Dingley, Mater. Sci. Technol. 22, 1271 (2006) [CrossRef] [Google Scholar]
  44. D. Jeulin, L. Vincent et al., J. Visual Commun. Image Represent. 3, 161 (1992) [Google Scholar]
  45. M. Calcagnotto, D. Ponge, E. Demir, D. Raabe, Mater. Sci. Eng. A 527, 2738 (2010) [CrossRef] [Google Scholar]
  46. S. Paul, S. Tarafder, Int. J. Pressure Vessels Piping 101, 81 (2013) [Google Scholar]
  47. F. Antunes, A. Chegini, L. Correia, A. Ramalho, Frattura ed Integrità Strutturale 7, 54 (2013) [Google Scholar]
  48. A. Bleiweiss, GPU accelerated pathfinding, in Proceedings of the 23rd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware (Eurographics Association, 2008), pp. 65–74 [Google Scholar]
  49. P. Tahmasebi, Phys. Rev. E 97, 023307 (2018) [Google Scholar]
  50. P. Tahmasebi, Water Resour. Res. 53, 5980 (2017) [Google Scholar]
  51. E. Bernton, P. Jacob, M. Gerber, C. Robert, J. Royal Stat. Soc. Ser. B 81, 235 (2019) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.