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author:

Xia, Ming (Xia, Ming.) [1] | Gong, Fengqiang (Gong, Fengqiang.) [2] | Feng, Song (Feng, Song.) [3] | Yu, Jin (Yu, Jin.) [4] | Feng, Yuntian (Feng, Yuntian.) [5] | Wang, Min (Wang, Min.) [6]

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EI

Abstract:

The coupled discrete element and lattice Boltzmann method using an immersed moving boundary scheme was extended to simulate methane hydrate exploitation involving mass transport and particle dissolution. In this coupled DEM-IMB-LBM model, a new Dirichlet-type thermal boundary condition is extended to simulate moving curved boundaries with constant concentration. A novel periodic boundary including an efficient searching algorithm for particle contact is proposed to reduce the computational cost and boundary effect. Then this model is validated by two numerical examples: a circular particle with concentration convection-diffusion moving in a horizontal channel and mass transport from a cylinder particle in a simple shear flow. The numerical results obtained from the proposed model agree well with previous studies. To further demonstrate the capacity of the proposed model, simulations of methane hydrate exploitation including two formations in marine sediments are carried out. The numerical results indicate that the coupled DEM-IMB-LBM is not only capable of simulating the dissolution of hydrate particles at the grain level, but also recover the sand erosion and migration process in a fundamental perspective during the methane hydrate exploitation process. © 2022 John Wiley & Sons Ltd.

Keyword:

Boundary conditions Computational efficiency Dissolution Finite difference method Gas hydrates Hydration Kinetic theory Methane Shear flow Submarine geology

Community:

  • [ 1 ] [Xia, Ming]Hunan Key Laboratory of Geomechanics and Engineering Safety, Xiangtan University, Xiangtan, China
  • [ 2 ] [Xia, Ming]Zienkiewicz Centre for Computational Engineering, Swansea University, Swansea, United Kingdom
  • [ 3 ] [Gong, Fengqiang]School of Civil Engineering, Southeast University, Nanjing, China
  • [ 4 ] [Feng, Song]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Feng, Song]MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Department of Civil Engineering, Zhejiang University, Hangzhou, China
  • [ 6 ] [Yu, Jin]Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Xiamen, China
  • [ 7 ] [Feng, Yuntian]Zienkiewicz Centre for Computational Engineering, Swansea University, Swansea, United Kingdom
  • [ 8 ] [Wang, Min]T-3 Fluid Dynamics and Solid Mechanics Group, Theoretical Division, Los Alamos National Laboratory, Santa Fe; NM, United States

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Source :

International Journal for Numerical Methods in Engineering

ISSN: 0029-5981

Year: 2023

Issue: 8

Volume: 124

Page: 1701-1720

2 . 7

JCR@2023

2 . 7 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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