Technical Papers
Apr 21, 2015

Cubic-Spline Multiscale Finite Element Method for Solving Nodal Darcian Velocities in Porous Media

Publication: Journal of Hydrologic Engineering
Volume 20, Issue 11

Abstract

This paper presents a cubic-spline multiscale finite element method (CMSFEM) for solving groundwater flow problems in porous media. The main idea of this method is using the multiscale finite element method (MSFEM) to efficiently solve the hydraulic heads and nodal Darcian velocities. CMSFEM employs the cubic-spline technique to obtain continuous nodal head derivatives, which ensures the continuity of velocities. Furthermore, CMSFEM can not only solve velocities at coarse-scale grid nodes but also solve those at the fine-scale nodes in each coarse element grid. Instead of solving the full study region problem, the computation of the fine-scale velocities is decoupled from coarse element to coarse element, which can be implemented in parallel. Therefore, CMSFEM saves much computational costs in solving heads and velocities, which is important for high computation problems. The applications in this paper demonstrate that the CMSFEM has high accuracy and efficiency in solving velocities and heads.

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Acknowledgments

This study is financially supported by the National Science Fund for Distinguished Scholars (No. 40725010) and the National Natural Science Foundation of China (No. 41030746).

References

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 20Issue 11November 2015

History

Received: Sep 16, 2014
Accepted: Mar 6, 2015
Published online: Apr 21, 2015
Discussion open until: Sep 21, 2015
Published in print: Nov 1, 2015

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Ph.D. Candidate, School of Earth Sciences and Engineering, Nanjing Univ. (XianLin Campus), Nanjing 210046, China. E-mail: [email protected]
Professor, School of Earth Sciences and Engineering, Nanjing Univ. (Xianlin Campus), Nanjing 210093, China (corresponding author). E-mail: [email protected]
Chunhong Xie [email protected]
Professor, Dept. of Mathematics, Nanjing Univ. (Gulou Campus), Nanjing 210093, China. E-mail: [email protected]

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