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Advanced Loop-flow Method for Fast Hydraulic Simulations

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2018
1597.pdf (549.7Kb)
Authors
Vasilić, Željko
Stanić, Miloš
Kapelan, Zoran
Prodanović, Dušan
Conference object (Published version)
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Abstract
Solution of the nonlinear system of equations describing the network hydraulics problem can be formulated in several different manners, yielding various methods of solution. The most popular formulation is probably the Global Gradient Algorithm (GGA). Loop-flow formulation is another method revisited by number of researchers in recent years. Loop-flow method has the smaller system matrix to solve, which is a benefit over the GGA’s matrix, coming from the fact that real networks typically have far less loops than nodes. However, need for cumbersome pre-processing to identify network loops and sparsity of solution matrix, which is highly dependent of implemented loop identification algorithm, remain key drawbacks of existing loop-flow methods. In addition, systematic testing on the real life networks of different topologies and complexities is still somewhat lacking in the literature. In this paper, new loop-flow type method based on the novel TRIangulation BAsed Loop identification algo...rithm (TRIBAL) coupled with efficient implementation of loop-flow based hydraulic solver (ΔQ) is presented. Performance of the new TRIBAL ΔQ method based solver is tested through the comparison with the reference GGA solver. Preliminary results show that significant calculation speedups can be achieved with proposed method, maintaining prediction accuracy and convergence of the reference solver.

Source:
HIC 2018. 13th International Conference on Hydroinformatics, 2018, 3, 2155-2161
Publisher:
  • EasyChair,
Note:
  • EPiC Series in Engineering

DOI: 10.29007/p3ft

[ Google Scholar ]
URI
https://grafar.grf.bg.ac.rs/handle/123456789/1599
Collections
  • Катедра за геодезију и геоинформатику
  • Катедра за хидротехнику и водно-еколошко инжењерство
Institution/Community
GraFar
TY  - CONF
AU  - Vasilić, Željko
AU  - Stanić, Miloš
AU  - Kapelan, Zoran
AU  - Prodanović, Dušan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1599
AB  - Solution of the nonlinear system of equations describing the network hydraulics problem can be formulated in several different manners, yielding various methods of solution. The most popular formulation is probably the Global Gradient Algorithm (GGA). Loop-flow formulation is another method revisited by number of researchers in recent years. Loop-flow method has the smaller system matrix to solve, which is a benefit over the GGA’s matrix, coming from the fact that real networks typically have far less loops than nodes. However, need for cumbersome pre-processing to identify network loops and sparsity of solution matrix, which is highly dependent of implemented loop identification algorithm, remain key drawbacks of existing loop-flow methods. In addition, systematic testing on the real life networks of different topologies and complexities is still somewhat lacking in the literature. In this paper, new loop-flow type method based on the novel TRIangulation BAsed Loop identification algorithm (TRIBAL) coupled with efficient implementation of loop-flow based hydraulic solver (ΔQ) is presented. Performance of the new TRIBAL ΔQ method based solver is tested through the comparison with the reference GGA solver. Preliminary results show that significant calculation speedups can be achieved with proposed method, maintaining prediction accuracy and convergence of the reference solver.
PB  - EasyChair,
C3  - HIC 2018. 13th International Conference on Hydroinformatics
T1  - Advanced Loop-flow Method for Fast Hydraulic Simulations
EP  - 2161
SP  - 2155
VL  - 3
DO  - 10.29007/p3ft
ER  - 
@conference{
author = "Vasilić, Željko and Stanić, Miloš and Kapelan, Zoran and Prodanović, Dušan",
year = "2018",
abstract = "Solution of the nonlinear system of equations describing the network hydraulics problem can be formulated in several different manners, yielding various methods of solution. The most popular formulation is probably the Global Gradient Algorithm (GGA). Loop-flow formulation is another method revisited by number of researchers in recent years. Loop-flow method has the smaller system matrix to solve, which is a benefit over the GGA’s matrix, coming from the fact that real networks typically have far less loops than nodes. However, need for cumbersome pre-processing to identify network loops and sparsity of solution matrix, which is highly dependent of implemented loop identification algorithm, remain key drawbacks of existing loop-flow methods. In addition, systematic testing on the real life networks of different topologies and complexities is still somewhat lacking in the literature. In this paper, new loop-flow type method based on the novel TRIangulation BAsed Loop identification algorithm (TRIBAL) coupled with efficient implementation of loop-flow based hydraulic solver (ΔQ) is presented. Performance of the new TRIBAL ΔQ method based solver is tested through the comparison with the reference GGA solver. Preliminary results show that significant calculation speedups can be achieved with proposed method, maintaining prediction accuracy and convergence of the reference solver.",
publisher = "EasyChair,",
journal = "HIC 2018. 13th International Conference on Hydroinformatics",
title = "Advanced Loop-flow Method for Fast Hydraulic Simulations",
pages = "2161-2155",
volume = "3",
doi = "10.29007/p3ft"
}
Vasilić, Ž., Stanić, M., Kapelan, Z.,& Prodanović, D.. (2018). Advanced Loop-flow Method for Fast Hydraulic Simulations. in HIC 2018. 13th International Conference on Hydroinformatics
EasyChair,., 3, 2155-2161.
https://doi.org/10.29007/p3ft
Vasilić Ž, Stanić M, Kapelan Z, Prodanović D. Advanced Loop-flow Method for Fast Hydraulic Simulations. in HIC 2018. 13th International Conference on Hydroinformatics. 2018;3:2155-2161.
doi:10.29007/p3ft .
Vasilić, Željko, Stanić, Miloš, Kapelan, Zoran, Prodanović, Dušan, "Advanced Loop-flow Method for Fast Hydraulic Simulations" in HIC 2018. 13th International Conference on Hydroinformatics, 3 (2018):2155-2161,
https://doi.org/10.29007/p3ft . .

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