GPU-accelerated volumetric lattice Boltzmann method for pore-scale diffusion-advection in geopolymer porous structures for nuclear waste treatment

ORAL

Abstract

Porous materials serve as advantageous media for immobilizing radioactive ions in nuclear waste streams. To enhance absorption efficiency in nuclear waste treatment, a profound understanding of the diffusion-advection process within porous structures is imperative for designing such materials. In this study, we present the development of the volumetric lattice Boltzmann method (VLBM) to solve pore-scale diffusion-advection in geopolymer porous structures, which are generated using the phase field method (PFM) with specific pore structures. Mass transport is driven by diffusion, convection, and interface reaction. The concentration field's lattice Boltzmann equation is constructed in a manner similar to that of the velocity field. To tackle the computationally intensive nature of the coupled lattice Boltzmann equations for velocity and concentration fields, we implement GPU (Graphics Processing Unit) parallelization. We first examine the solution of pure diffusion with a point source, and favorable agreements between VLBM and PFM are observed for both velocity and concentration fields. Then, we investigate the influence of porosity, mass diffusivity, and flow rate on the diffusion by varying the pore volume fraction, diffusion coefficient, and background flow velocity. Notably, both porous material properties and fluid characteristics significantly impact this multi-physics process. Through this comprehensive parametric study, we gain insights into the kinetics of ion uptake in porous structures, facilitating the advancement of porous materials for nuclear waste treatment applications.

*The research was performed in the Pacific Northwest National Laboratory, which is operated by Battelle for the U.S. Department of Energy under Contract DE-AC05-76RL01830. This work was supported as part of the Center for Hierarchical Waste Form Materials, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award No. DE-SC0016574. Computations were performed on the Constance cluster at Pacific Northwest National Laboratory. The research is also supported by an NSF grant (#1803845).

Presenters

  • Xiaoyu Zhang

    • Indiana University - Purdue University, Indianapolis

Authors

  • Xiaoyu Zhang

    • Indiana University - Purdue University, Indianapolis
  • Zirui Mao

    • Pacific Northwest National Laboratory
  • Yulan Li

    • Pacific Northwest National Laboratory
  • Proust Vanessa

    • CEA, DEN, Univ Montpellier, Research Department on Enrichment, Dismantling and Waste Technologies, SEAD/LPSD, Marcoule, BP 71171, 30207 Bagnols-sur-Cèze cedex, France
  • Alban Gossard

    • CEA, DEN, Univ Montpellier, Research Department on Enrichment, Dismantling and Waste Technologies, SEAD/LPSD, Marcoule, BP 71171, 30207 Bagnols-sur-Cèze cedex, France
  • Agnes Grandjean

    • CEA, DEN, Univ Montpellier, Research Department on Enrichment, Dismantling and Waste Technologies, SEAD/LPSD, Marcoule, BP 71171, 30207 Bagnols-sur-Cèze cedex, France
  • Robert Montgomery

    • Pacific Northwest National Laboratory
  • Hanno Z Loye

    • University of South Carolina
  • Shenyang Hu

    • Pacific Northwest National Laboratory
  • Huidan Yu

    • Indiana University - Purdue University, Indianapolis