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Author:

Chen, Yuanqiang (Chen, Yuanqiang.) | Liu, Cheng (Liu, Cheng.) | Zheng, Hong (Zheng, Hong.) | Huang, Xiaocheng (Huang, Xiaocheng.) | Liu, Shunkai (Liu, Shunkai.) | Peng, Jian (Peng, Jian.)

Indexed by:

EI Scopus SCIE

Abstract:

The moving least squares (MLS) based numerical manifold method (abbreviated as MLS-NMM) inherits the individual merits of MLS and NMM, which not only gets rid of the shackles of meshes but also can unitedly solve both continuity and discontinuity problems. This paper presents an improved MLS-NMM model for saturated-unsaturated seepage in both homogeneous and heterogeneous porous media. In the improved model, the innovative node arrangement scheme and background grid generation strategy are introduced, which can effectively enhance the interpolation accuracy. Five examples are employed to confirm the capability and accuracy of the improved MLS-NMM model. Numerical results manifest that the proposed model can serve as a reliable reference tool for saturated-unsaturated seepage analysis in engineering applications.

Keyword:

Saturated-unsaturated seepage Moving least squares Numerical manifold method Richards' equation

Author Community:

  • [ 1 ] [Chen, Yuanqiang]Hunan Univ Sci & Technol, Sch Civil Engn, Xiangtan 411201, Peoples R China
  • [ 2 ] [Liu, Cheng]Hunan Univ Sci & Technol, Sch Civil Engn, Xiangtan 411201, Peoples R China
  • [ 3 ] [Huang, Xiaocheng]Hunan Univ Sci & Technol, Sch Civil Engn, Xiangtan 411201, Peoples R China
  • [ 4 ] [Liu, Shunkai]Hunan Univ Sci & Technol, Sch Civil Engn, Xiangtan 411201, Peoples R China
  • [ 5 ] [Peng, Jian]Hunan Univ Sci & Technol, Sch Civil Engn, Xiangtan 411201, Peoples R China
  • [ 6 ] [Zheng, Hong]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Chen, Yuanqiang]Hunan Univ Sci & Technol, Sch Civil Engn, Xiangtan 411201, Peoples R China

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Source :

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS

ISSN: 0955-7997

Year: 2025

Volume: 178

3 . 3 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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