Singularity Treatments in Transient Confined Seepage Using Numerical Manifold Method

20 Pages Posted: 11 Sep 2024

See all articles by Limei Zhang

Limei Zhang

affiliation not provided to SSRN

Hong Zheng

Beijing University of Technology

Yueping Yin

affiliation not provided to SSRN

Sainan Zhu

affiliation not provided to SSRN

nan Zhang

affiliation not provided to SSRN

Abstract

The numerical manifold method (NMM) with the mathematical cover and the physical cover is proposed for analysis the two-dimensional transient confined seepage flow problems with singular corner points. To deal with the singularity of corner points, a special local approximation obtained from the asymptotic expansion of the analytical solution in the neighborhood of corner points is introduced by NMM in this study. Firstly, the special local approximation is applied to the patches affected by the singularity point, and the constant local approximation is assigned to the other star patches. Secondly, based on the governing equations, the initial condition, and the boundary conditions, the NMM discrete formulations are deduced. For time integration, the backward time integration scheme is adopted. The accuracy and effectiveness of the proposed method are proved by four engineering examples in homogeneous, heterogeneous, and anisotropic material. Comparing with finite element method, the proposed method can better reflect the strong singularity of corner points.

Keywords: Numerical manifold method, transient confined seepage, the asymptotic expansion, time discretization

Suggested Citation

Zhang, Limei and Zheng, Hong and Yin, Yueping and Zhu, Sainan and Zhang, nan, Singularity Treatments in Transient Confined Seepage Using Numerical Manifold Method. Available at SSRN: https://ssrn.com/abstract=4953136 or http://dx.doi.org/10.2139/ssrn.4953136

Limei Zhang

affiliation not provided to SSRN ( email )

Hong Zheng (Contact Author)

Beijing University of Technology ( email )

100 Ping Le Yuan
Chaoyang District
Beijing, 100020
China

Yueping Yin

affiliation not provided to SSRN ( email )

Sainan Zhu

affiliation not provided to SSRN ( email )

Nan Zhang

affiliation not provided to SSRN ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
31
Abstract Views
137
PlumX Metrics