Technical Papers
Jan 27, 2015

Efficient Finite-Volume Model for Shallow-Water Flows Using an Implicit Dual Time-Stepping Method

Publication: Journal of Hydraulic Engineering
Volume 141, Issue 6

Abstract

An implicit dual time-stepping method (DTS) is applied to a Godunov-type finite-volume model for two-dimensional (2D) shallow-water flows on unstructured grids to improve run-time efficiency. In this model, an implicit nonlinear lower–upper symmetric Gauss–Seidel (LU-SGS) solution algorithm is used as an inner iteration solver for DTS. To relieve the quantity nonconservation problem of DTS, a water quantity conservation correction method is presented. Five extensive test cases including two analytical benchmark cases and experimental and actual dam-break cases have been applied to validate the proposed model and to demonstrate its performance by comparison with an explicit scheme. The presented results show that DTS can reduce the run time from 55 to 78% without or with a minimal loss of accuracy. The overall performance demonstrates that the proposed model is accurate and efficient for simulating shallow water in practical applications.

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Acknowledgments

This study has been financially supported by the National Basic Research Program of China (2010CB428405) and the Ministry of Water Resources Special Funds for Scientific Research Projects of Public Welfare Industry (201301093).

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 141Issue 6June 2015

History

Received: Dec 23, 2013
Accepted: Dec 9, 2014
Published online: Jan 27, 2015
Published in print: Jun 1, 2015
Discussion open until: Jun 27, 2015

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Ph.D. Candidate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou 510640, China. E-mail: [email protected]
Guoru Huang [email protected]
Professor, State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou 510640, China (corresponding author). E-mail: [email protected]
Chuanhao Wu [email protected]
Ph.D. Candidate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou 510640, China. E-mail: [email protected]

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