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An Integral 1-D Eulerian–Lagrangian Method and Its Application to a Hydrodynamic River Network
It is difficult for a one-dimensional river network hydrodynamic model to manage bifurcations. Traditional methods use simplified junction methods to avoid solving physical equations at bifurcations, which can cause physical distortions and errors. In this article, we propose an algorithm that allows a Eulerian−Lagrangian method (ELM) to track through bifurcations then solve advective terms, in combination with velocity−pressure couplings, to solve physical equations at bifurcations. The new method discards the simplifications and assumptions used by traditional models and is more complete in theory. We tested the new method with two ideal examples, and the results showed that the new method is time-step independent and grid independent. A simple bifurcation was used to compare this method with MIKE11.
An Integral 1-D Eulerian–Lagrangian Method and Its Application to a Hydrodynamic River Network
It is difficult for a one-dimensional river network hydrodynamic model to manage bifurcations. Traditional methods use simplified junction methods to avoid solving physical equations at bifurcations, which can cause physical distortions and errors. In this article, we propose an algorithm that allows a Eulerian−Lagrangian method (ELM) to track through bifurcations then solve advective terms, in combination with velocity−pressure couplings, to solve physical equations at bifurcations. The new method discards the simplifications and assumptions used by traditional models and is more complete in theory. We tested the new method with two ideal examples, and the results showed that the new method is time-step independent and grid independent. A simple bifurcation was used to compare this method with MIKE11.
An Integral 1-D Eulerian–Lagrangian Method and Its Application to a Hydrodynamic River Network
Shuai Yuan (author) / Jianzhong Zhou (author) / Dechao Hu (author) / Sipeng Zhu (author)
2020
Article (Journal)
Electronic Resource
Unknown
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