Journal Articles using Bison

Papers by the Bison Team

  1. J.A. Hirschhorn, L.K. Aagesen, C. Jiang, and G.L. Beausoleil. Development and preliminary validation of a mechanistic multiscale model for fuel-cladding chemical interaction in metallic nuclear fuels. Nuclear Engineering and Design, 432:113811, 2025. doi:10.1016/j.nucengdes.2024.113811.[BibTeX]
  2. Jacob A. Hirschhorn, Mustafa K. Jaradat, Ryan T. Sweet, Paul A. Demkowicz, Paolo Balestra, and Gerhard Strydom. Development and demonstration of a bison-griffin modeling framework for the design of targeted TRISO transient experiments in the Transient Reactor Test Facility. Nuclear Engineering and Design, 431:113720, 2025. doi:10.1016/j.nucengdes.2024.113720.[BibTeX]
  3. R.T. Sweet, C.P. Massey, J.A. Hirschhorn, S.B. Bell, and K.A. Kane. Wrought FeCrAl alloy (C26M) cladding behavior and burst under simulated loss-of-coolant accident conditions. Nuclear Engineering and Design, 431:113712, 2025. doi:10.1016/j.nucengdes.2024.113712.[BibTeX]
  4. Nairi Baghdasaryan, Wen Jiang, Jason Hales, Tomasz Kozlowski, and Zuzanna Krajewska. Triso fuel performance analysis: uncertainty quantification toward optimization. Nuclear Engineering and Design, 410:112401, 2023. doi:10.1016/j.nucengdes.2023.112401.[BibTeX]
  5. A. Toptan, W. Jiang, J. D. Hales, B. W. Spencer, and S. Novascone. Verification of Bison fission product species conservation under TRISO reactor conditions. Journal of Nuclear Materials, 573:154105, 2023. doi:10.1016/j.jnucmat.2022.154105.[BibTeX]
  6. Antonio Recuero, Alexander Lindsay, and Dewen Yushu. An approach to grid-to-rod fretting wear modeling using dynamic mortar contact. Progress in Nuclear Energy, 163:104793, 2023. doi:10.1016/j.pnucene.2023.104793.[BibTeX]
  7. Somayajulu L.N. Dhulipala, Michael D. Shields, Promit Chakroborty, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Vincent M. Labouré, Zachary M. Prince, Chandrakanth Bolisetti, and Yifeng Che. Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation. Reliability Engineering & System Safety, 226:108693, 2022. doi:10.1016/j.ress.2022.108693.[BibTeX]
  8. K.A. Gamble, B.W. Spencer, J.D. Hales, T.W. Knight, and E. Roberts. A layered 2d computational framework: theory and applications to nuclear fuel behavior. Nuclear Engineering and Design, 395:111847, 2022. doi:10.1016/j.nucengdes.2022.111847.[BibTeX]
  9. A. Recuero, A. Lindsay, D. Yushu, J. W. Peterson, and B. Spencer. A mortar thermomechanical contact computational framework for nuclear fuel performance simulation. Nuclear Engineering and Design, 394:111808, 2022. doi:10.1016/j.nucengdes.2022.111808.[BibTeX]
  10. A. Toptan, N. Porter, J. D. Hales, W. Jiang, B. W. Spencer, and S. R. Novascone. Verification of MOOSE/Bison's heat conduction solver using combined spatiotemporal convergence analysis. ASME Journal of Verification, Validation and Uncertainty Quantification, 7(2):021006, 2022. doi:10.1115/1.4054216.[BibTeX]
  11. P.-C.A. Simon, L. K. Aagesen, C. Jiang, W. Jiang, and J.-H. Ke. Mechanistic calculation of the effective silver diffusion coefficient in polycrystalline silicon carbide: application to silver release in AGR-1 TRISO particles. Journal of Nuclear Materials, 563:153669, 2022. doi:10.1016/j.jnucmat.2022.153669.[BibTeX]
  12. S.L.N. Dhulipala, W. Jiang, B. W. Spencer, J. D. Hales, M. D. Shields, A. E. Slaughter, Z. M. Prince, V. M. Labouré, C. Bolisetti, and P. Chakroborty. Accelerated statistical failure analysis of multifidelity triso fuel models. Journal of Nuclear Materials, 563:153604, 2022. doi:10.1016/j.jnucmat.2022.153604.[BibTeX]
  13. F. Passelaigue, P.-C. A. Simon, and A. T. Motta. Predicting the hydride rim by improving the solubility limits in the Hydride Nucleation-Growth-Dissolution (HNGD) model. Journal of Nuclear Materials, 558:153363, 2022. doi:10.1016/j.jnucmat.2021.153363.[BibTeX]
  14. W. Jiang, G. Singh, J. D. Hales, A. Toptan, B. W. Spencer, S. R. Novascone, S. L. N. Dhulipala, and Z. M. Prince. Efficient high-fidelity TRISO statistical failure analysis using Bison: Applications to AGR-2 irradiation testing. Journal of Nuclear Materials, 562:153585, 2022. doi:10.1016/j.jnucmat.2022.153585.[BibTeX]
  15. X.-Y. Liu, C. Matthews, W. Jiang, M.W.D. Cooper, J.D. Hales, and D.A. Andersson. Atomistic and cluster dynamics modeling of fission gas (xe) diffusivity in triso fuel kernels. Journal of Nuclear Materials, 561:153539, 2022. doi:10.1016/j.jnucmat.2022.153539.[BibTeX]
  16. Karen E. Wright, John Stempien, Wen Jiang, and Isabella J. van Rooyen. Fission product distribution in irradiated safety-tested and as-irradiated AGR-2 TRISO particles. Journal of Nuclear Materials, 559:153468, 2022. doi:10.1016/j.jnucmat.2021.153468.[BibTeX]
  17. J.D. Hales, A. Toptan, W. Jiang, and B.W. Spencer. Numerical evaluation of AGR-2 fission product release. Journal of Nuclear Materials, 558:153325, 2022. doi:10.1016/j.jnucmat.2021.153325.[BibTeX]
  18. Ryan Sweet, Peter Mouche, Samuel Bell, Kenneth Kane, and Nathan Capps. Chromium-coated cladding analysis under simulated LOCA burst conditions. Annals of Nuclear Energy, 176:109275, 2022. doi:10.1016/j.anucene.2022.109275.[BibTeX]
  19. Jacob A. Hirschhorn, Jeffrey J. Powers, Ian Greenquist, Ryan T. Sweet, Jianwei Hu, Douglas L. Porter, and Douglas C. Crawford. Metallic fuel performance benchmarks for Versatile Test Reactor applications. Nuclear Science and Engineering, 196:S123–S147, 2022. doi:10.1080/00295639.2022.2043539.[BibTeX]
  20. Y. Miao, A. Oaks, K. Mo, M. Billone, C. Matthews, A. X. Zabriskie, S. Novascone, and A. M. Yacout. Metallic fuel cladding degradation model development and evaluation for BISON. Nuclear Engineering and Design, 385:111531, 2021. doi:10.1016/j.nucengdes.2021.111531.[BibTeX]
  21. Louis Bailly-Salins, Léo Borrel, Wen Jiang, Benjamin W. Spencer, Koroush Shirvan, and Adrien Couet. Modeling of high-temperature corrosion of zirconium alloys using the extended finite element method (X-FEM). Corrosion Science, 189:109603, 2021. doi:10.1016/j.corsci.2021.109603.[BibTeX]
  22. B. Collin, W. Jiang, K. Gamble, R. Gardner, J. Hales, B. Haugh, S. Novascone, J. Roche, B. Spencer, and A. Toptan. TRISO fuel performance modelling with BISON. Journal of Physics: Conference Series, 2048(1):012012, 2021. doi:10.1088/1742-6596/2048/1/012012.[BibTeX]
  23. K.A. Gamble, T.W. Knight, E. Roberts, J.D. Hales, and B.W. Spencer. Mechanistic verification of empirical UO$_2$ fuel fracture models. Journal of Nuclear Materials, 556:153163, 2021. doi:10.1016/j.jnucmat.2021.153163.[BibTeX]
  24. Aysenur Toptan, Wen Jiang, Jason D. Hales, Benjamin W. Spencer, Albert Casagranda, and Stephen R. Novascone. FEA-aided investigation of the effective thermal conductivity in a medium with embedded spheres. Nuclear Engineering and Design, 381:111355, 2021. doi:10.1016/j.nucengdes.2021.111355.[BibTeX]
  25. Jianguo Yu, Cole D. Blakely, Jason D. Hales, and Hongbin Zhang. Accident tolerant fuel rod failure under low stress: a case study of BWR under station blackout using Bison. Journal of Nuclear Materials, pages 153037, 2021. doi:10.1016/j.jnucmat.2021.153037.[BibTeX]
  26. Richard L. Williamson, Jason D. Hales, Stephen R. Novascone, Giovanni Pastore, Kyle A. Gamble, Benjamin W. Spencer, Wen Jiang, Stephanie A. Pitts, Albert Casagranda, Daniel Schwen, Adam X. Zabriskie, Aysenur Toptan, Russell Gardner, Christoper Matthews, Wenfeng Liu, and Hailong Chen. BISON: a flexible code for advanced simulation of the performance of multiple nuclear fuel forms. Nuclear Technology, 207(7):954–980, 2021. doi:10.1080/00295450.2020.1836940.[BibTeX]
  27. Jason D. Hales, Wen Jiang, Aysenur Toptan, and Kyle A. Gamble. Modeling fission product diffusion in TRISO fuel particles with BISON. Journal of Nuclear Materials, 548:152840, 2021. doi:10.1016/j.jnucmat.2021.152840.[BibTeX]
  28. Wen Jiang, Jason D. Hales, Benjamin W. Spencer, Blaise P. Collin, Andrew E. Slaughter, Stephen R. Novascone, Aysenur Toptan, Kyle A. Gamble, and Russell Gardner. TRISO particle fuel performance and failure analysis with BISON. Journal of Nuclear Materials, 548:152795, 2021. doi:10.1016/j.jnucmat.2021.152795.[BibTeX]
  29. G. Pastore, R. L. Williamson, R. J. Gardner, S. R. Novascone, J. B. Tompkins, K. A. Gamble, and J. D. Hales. Analysis of fuel rod behavior during loss-of-coolant accidents using the BISON code: Cladding modeling developments and simulation of separate-effects experiments. Journal of Nuclear Materials, 543:152537, 2021. doi:10.1016/j.jnucmat.2020.152537.[BibTeX]
  30. G. Pastore, K. A. Gamble, R. L. Williamson, S. R. Novascone, R. J. Gardner, and J. D. Hales. Analysis of fuel rod behavior during loss-of-coolant accidents using the BISON code: Fuel modeling developments and simulation of integral experiments. Journal of Nuclear Materials, 545:152645, 2021. doi:10.1016/j.jnucmat.2020.152645.[BibTeX]
  31. Jacob Hirschhorn, Michael Tonks, and Christopher Matthews. A CALPHAD-informed approach to modeling constituent redistribution in Zr-based metallic fuels using BISON. Journal of Nuclear Materials, 544:152657, 2021. doi:10.1016/j.jnucmat.2020.152657.[BibTeX]
  32. Michael R. Tonks, Pierre-Clément A. Simon, and Jacob Hirschhorn. Mechanistic grain growth model for fresh and irradiated UO2 nuclear fuel. Journal of Nuclear Materials, 543:152576, 2021. doi:10.1016/j.jnucmat.2020.152576.[BibTeX]
  33. Aysenur Toptan, Nathan W. Porter, Jason D. Hales, Benjamin W. Spencer, Martin Pilch, and Richard L. Williamson. Construction of a Code Verification Matrix for Heat Conduction With Finite Element Code Applications. Journal of Verification, Validation and Uncertainty Quantification, 5(4):041002, 12 2020. doi:10.1115/1.4049037.[BibTeX]
  34. Aysenur Toptan, Jason D. Hales, Richard L. Williamson, Stephen R. Novascone, Giovanni Pastore, and David J. Kropaczek. Modeling of gap conductance for LWR fuel rods applied in the BISON code. Journal of Nuclear Science and Technology, 57(8):963–974, 2020. doi:10.1080/00223131.2020.1740808.[BibTeX]
  35. Wen Jiang, Benjamin W. Spencer, and John E. Dolbow. Ceramic nuclear fuel fracture modeling with the extended finite element method. Engineering Fracture Mechanics, 223:106713, 2020. doi:10.1016/j.engfracmech.2019.106713.[BibTeX]
  36. R.T. Sweet, Y. Yang, K.A. Terrani, B.D. Wirth, and A.T. Nelson. Performance of U3Si2 in an LWR following a cladding breach during normal operation. Journal of Nuclear Materials, 539:152263, 2020. doi:10.1016/j.jnucmat.2020.152263.[BibTeX]
  37. T. Barani, G. Pastore, D. Pizzocri, D.A. Andersson, C. Matthews, A. Alfonsi, K.A. Gamble, P. Van Uffelen, L. Luzzi, and J.D. Hales. Multiscale modeling of fission gas behavior in U3Si2 under LWR conditions. Journal of Nuclear Materials, 522:97 – 110, 2019. doi:10.1016/j.jnucmat.2019.04.037.[BibTeX]
  38. P. Van Uffelen, J. Hales, W. Li, G. Rossiter, and R. Williamson. A review of fuel performance modelling. Journal of Nuclear Materials, 516:373–412, 2019. doi:10.1016/j.jnucmat.2018.12.037.[BibTeX]
  39. T. Barani, D. Pizzocri, G. Pastore, L. Luzzi, and J.D. Hales. Isotropic softening model for fuel cracking in BISON. Nuclear Engineering and Design, 342:257–263, 2019. doi:10.1016/j.nucengdes.2018.12.005.[BibTeX]
  40. Yifeng Che, Giovanni Pastore, Jason Hales, and Koroush Shirvan. Modeling of Cr2O3-doped UO2 as a near-term accident tolerant fuel for LWRs using the BISON code. Nuclear Engineering and Design, 337:271–278, 2018. doi:10.1016/j.nucengdes.2018.07.015.[BibTeX]
  41. Malik Wagih, Benjamin Spencer, Jason Hales, and Koroush Shirvan. Fuel performance of chromium-coated zirconium alloy and silicon carbide accident tolerant fuel claddings. Annals of Nuclear Energy, 120:304–318, 2018. doi:10.1016/j.anucene.2018.06.001.[BibTeX]
  42. S. Novascone, P. Medvedev, J.W. Peterson, Y. Zhang, and J. Hales. Modeling porosity migration in LWR and fast reactor MOX fuel using the finite element method. Journal of Nuclear Materials, 508:226–236, 2018. doi:10.1016/j.jnucmat.2018.05.041.[BibTeX]
  43. D. Pizzocri, G. Pastore, T. Barani, A. Magni, L. Luzzi, P. Van Uffelen, S.A. Pitts, A. Alfonsi, and J.D. Hales. A model describing intra-granular fission gas behaviour in oxide fuel for advanced engineering tools. Journal of Nuclear Materials, 502:323 – 330, 2018. doi:10.1016/j.jnucmat.2018.02.024.[BibTeX]
  44. R.T. Sweet, N.M. George, G.I. Maldonado, K.A. Terrani, and B.D. Wirth. Fuel performance simulation of iron-chrome-aluminum (FeCrAl) cladding during steady-state LWR operation. Nuclear Engineering and Design, 328:10–26, 2018. doi:10.1016/j.nucengdes.2017.11.043.[BibTeX]
  45. K.A. Gamble, T. Barani, D. Pizzocri, J.D. Hales, K.A. Terrani, and G. Pastore. An investigation of FeCrAl cladding behavior under normal operating and loss of coolant conditions. Journal of Nuclear Materials, 491:55–66, 2017. doi:10.1016/j.jnucmat.2017.04.039.[BibTeX]
  46. B.W. Spencer, R.L. Williamson, D.S. Stafford, S.R. Novascone, J.D. Hales, and G. Pastore. 3D modeling of missing pellet surface defects in BWR fuel. Nuclear Engineering and Design, 307:155–171, 2016. doi:10.1016/j.nucengdes.2016.07.008.[BibTeX]
  47. R.L. Williamson, K.A. Gamble, D.M. Perez, S.R. Novascone, G. Pastore, R.J. Gardner, J.D. Hales, W. Liu, and A. Mai. Validating the BISON fuel performance code to integral LWR experiments. Nuclear Engineering and Design, 301:232–244, 2016. doi:10.1016/j.nucengdes.2016.02.020.[BibTeX]
  48. S.R. Novascone, B.W. Spencer, J.D. Hales, and R.L. Williamson. Evaluation of coupling approaches for thermomechanical simulations. Nuclear Engineering and Design, 295:910–921, 2015. doi:10.1016/j.nucengdes.2015.07.005.[BibTeX]
  49. Xu Wu, Tomasz Kozlowski, and Jason D. Hales. Neutronics and fuel performance evaluation of accident tolerant FeCrAl cladding under normal operation conditions. Annals of Nuclear Energy, 85:763–775, 2015. doi:10.1016/j.anucene.2015.06.032.[BibTeX]
  50. D.S. Stafford. Multidimensional simulations of hydrides during fuel rod lifecycle. Journal of Nuclear Materials, 466:362–372, 2015. doi:10.1016/j.jnucmat.2015.06.037.[BibTeX]
  51. J. D. Hales, M. R. Tonks, K. Chockalingam, D. M. Perez, S. R. Novascone, B. W. Spencer, and R. L. Williamson. Asymptotic expansion homogenization for multiscale nuclear fuel analysis. Computational Materials Science, 99:290–297, March 2015. URL: http://dx.doi.org/10.1016/j.commatsci.2014.12.039, doi:10.1016/j.commatsci.2014.12.039.[BibTeX]
  52. J.D. Hales, M.R. Tonks, F.N. Gleicher, B.W. Spencer, S.R. Novascone, R.L. Williamson, G. Pastore, and D.M. Perez. Advanced multiphysics coupling for LWR fuel performance analysis. Annals of Nuclear Energy, 84:98–110, 2015. Multi-Physics Modelling of LWR Static and Transient Behaviour. doi:10.1016/j.anucene.2014.11.003.[BibTeX]
  53. Giovanni Pastore, L.P. Swiler, J.D. Hales, S.R. Novascone, D.M. Perez, B.W. Spencer, L. Luzzi, P. Van Uffelen, and R.L. Williamson. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling. Journal of Nuclear Materials, 456:398–408, 2015. doi:10.1016/j.jnucmat.2014.09.077.[BibTeX]
  54. H. Huang, B. Spencer, and J. Hales. Discrete element method for simulation of early-life thermal fracturing behavior in ceramic nuclear fuel pellets. Nuclear Engineering and Design, 278:515–528, 2014. doi:10.1016/j.nucengdes.2014.05.049.[BibTeX]
  55. Olivier Courty, Arthur T. Motta, and Jason D. Hales. Modeling and simulation of hydrogen behavior in Zircaloy-4 fuel cladding. Journal of Nuclear Materials, 452(1):311–320, 2014. doi:10.1016/j.jnucmat.2014.05.013.[BibTeX]
  56. J.D. Hales, S.R. Novascone, B.W. Spencer, R.L. Williamson, G. Pastore, and D.M. Perez. Verification of the BISON fuel performance code. Annals of Nuclear Energy, 71:81–90, 2014. doi:10.1016/j.anucene.2014.03.027.[BibTeX]
  57. M. Teague, M. Tonks, S. Novascone, and S. Hayes. Microstructural modeling of thermal conductivity of high burn-up mixed oxide fuel. Journal of Nuclear Materials, 444(1):161–169, 2014. doi:10.1016/j.jnucmat.2013.09.035.[BibTeX]
  58. J.D. Hales, R.L. Williamson, S.R. Novascone, D.M. Perez, B.W. Spencer, and G. Pastore. Multidimensional multiphysics simulation of TRISO particle fuel. Journal of Nuclear Materials, 443(1):531–543, 2013. doi:10.1016/j.jnucmat.2013.07.070.[BibTeX]
  59. M.R. Tonks, P.C. Millett, P. Nerikar, S. Du, D. Andersson, C.R. Stanek, D. Gaston, D. Andrs, and R. Williamson. Multiscale development of a fission gas thermal conductivity model: coupling atomic, meso and continuum level simulations. Journal of Nuclear Materials, 440(1):193–200, 2013. doi:10.1016/j.jnucmat.2013.05.008.[BibTeX]
  60. R.L. Williamson, J.D. Hales, S.R. Novascone, M.R. Tonks, D.R. Gaston, C.J. Permann, D. Andrs, and R.C. Martineau. Multidimensional multiphysics simulation of nuclear fuel behavior. Journal of Nuclear Materials, 423(1):149–163, 2012. doi:10.1016/j.jnucmat.2012.01.012.[BibTeX]
  61. J. D. Hales, S. R. Novascone, R. L. Williamson, D. R. Gaston, and M. R. Tonks. Solving nonlinear solid mechanics problems with the Jacobian-free Newton Krylov method. Computer Modeling in Engineering and Sciences, 84(2):123–154, 2012. doi:10.3970/cmes.2012.084.123.[BibTeX]
  62. K. Chockalingam, M. R. Tonks, J. D. Hales, D. R. Gaston, P. C. Millett, and L. Zhang. Crystal plasticity with Jacobian-free Newton–Krylov. Computational Mechanics, 51:617–627, 2013. doi:10.1007/s00466-012-0741-7.[BibTeX]
  63. D. Gaston, L. Guo, G. Hansen, H. Huang, R. Johnson, H.K. Park, R. Podgorney, M. Tonks, and R. Williamson. Parallel algorithms and software for nuclear, energy, and environmental applications. Part I: Multiphysics algorithms. Communications in Computational Physics, 12(3):807–833, 2012. doi:10.4208/cicp.091010.140711s.[BibTeX]
  64. D. Gaston, L. Guo, G. Hansen, H. Huang, R. Johnson, D. Knoll, C. Newman, H.K. Park, R. Podgorney, M. Tonks, and R. Williamson. Parallel algorithms and software for nuclear, energy, and environmental applications. Part II: Multiphysics software. Communications in Computational Physics, 12(3):834–865, 2012. doi:10.4208/cicp.091010.140711s.[BibTeX]
  65. R.L. Williamson. Enhancing the ABAQUS thermomechanics code to simulate multipellet steady and transient LWR fuel rod behavior. Journal of Nuclear Materials, 415(1):74–83, 2011. doi:10.1016/j.jnucmat.2011.05.044.[BibTeX]
  66. C. Newman, G. Hansen, and D. Gaston. Three dimensional coupled simulation of thermomechanics, heat, and oxygen diffusion in uo2 nuclear fuel rods. Journal of Nuclear Materials, 392(1):6–15, 2009. doi:10.1016/j.jnucmat.2009.03.035.[BibTeX]
  67. M. Tonks, D. Gaston, C. Permann, P. Millett, G. Hansen, and D. Wolf. A coupling methodology for mesoscale-informed nuclear fuel performance codes. Nuclear Engineering and Design, 240(10):2877–2883, 2010. 4th International Topical Meeting on High Temperature Reactor Technology (HTR 2008), with Regular Papers. doi:10.1016/j.nucengdes.2010.06.005.[BibTeX]