Technical Papers
Jan 10, 2019

Flux-Form Eulerian-Lagrangian Method for Solving Advective Transport of Scalars in Free-Surface Flows

Publication: Journal of Hydraulic Engineering
Volume 145, Issue 3

Abstract

A two-dimensional (2D) flux-form Eulerian-Lagrangian method (FFELM) on unstructured grid is proposed for solving the advection equation in free-surface scalar transport models. The scalar concentrations of backtracking points are combined with time-interpolated cell-face velocities to evaluate cell-face advective fluxes. A G-correction is defined as an additional mechanism to eliminate potential nonphysical oscillations by correcting the cell-face advective fluxes. A flux-form cell update is finally carried out to obtain new cell concentrations. The role of the G-correction in the FFELM is clarified using a test of scalar transport in unsteady open-channel flows. A solid-body rotation test, a laboratory bend-flume test, and a real river test (using a 600-km river reach of the upper Yangtze River) are used to demonstrate the FFELM. The FFELM is revealed in tests to achieve almost the same accuracy as a pure Eulerian-type method [the subcycling finite-volume method (SCFVM)] and a conservative ELM [the finite-volume ELM (FVELM)]. Relative to explicit Eulerian methods, the FFELM uses the information of backtracking points over an extended upwind dependence domain in evaluating cell-face advective fluxes, and allows larger time steps for which the Courant-Friedrichs-Lewy number (CFL) is greater than 1. In the real river test, stable and accurate FFELM simulations can be achieved at a time step for which the CFL is as large as 5. Efficiency issues of the FFELM are clarified using the bend-flume test (193,536 cells) and the real river test (213,363 cells). In solving a transport problem (using 1–32 kinds of scalars and 16 cores), a parallel run using the FFELM is 1.0–3.3 times faster than a parallel run using the SCFVM. The FFELM has a computational cost slightly less (15%–17%) than that of the FVELM. Moreover, the implementation of the FFELM is much easier than that of the FVELM, and extension of the 2D FFELM to its one-dimensional (1D) and three-dimensional (3D) versions is straightforward.

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Acknowledgments

Financial supports from National Key R&D Program of China (Grant No. 2017YFC0405306), the Fundamental Research Funds for the Central Universities (2017KFYXJJ197), and China’s National Natural Science Foundation (51339001, 51379018, 51109009) are acknowledged.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 145Issue 3March 2019

History

Received: May 7, 2018
Accepted: Sep 12, 2018
Published online: Jan 10, 2019
Published in print: Mar 1, 2019
Discussion open until: Jun 10, 2019

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Authors

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Associate Professor, School of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan 430074, China; Senior Engineer, Dept. of River Engineering, Yangtze River Scientific Research Institute, 23 Huangpu St., Wuhan 430010, China (corresponding author). ORCID: https://orcid.org/0000-0002-3536-618X. Email: [email protected]; [email protected]
Shiming Yao
Professor and Senior Engineer, Dept. of River Engineering, Yangtze River Scientific Research Institute, Wuhan 430010, China.
Geng Qu
Senior Engineer, Dept. of River Engineering, Yangtze River Scientific Research Institute, Wuhan 430010, China.
Deyu Zhong
Associate Professor, State Key Laboratory of Hydroscience and Engineering, Tsinghua Univ., Beijing 100084, China.

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