2018
DOI: 10.1007/978-981-10-7218-5_4
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Artificial Viscosity Technique: A Riemann-Solver-Free Method for 2D Urban Flood Modelling on Complex Topography

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Cited by 9 publications
(17 citation statements)
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“…where A is the cell area, ∆t is the time step, α p is the coefficient being 1/4, 1/3 , 1/2, and 1 for p = 1-4, respectively. The numerical procedures for Equations (4) and (6) are given in detail in [17,25,26], thus are not presented here.…”
Section: Governing Equations and Numerical Modelsmentioning
confidence: 99%
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“…where A is the cell area, ∆t is the time step, α p is the coefficient being 1/4, 1/3 , 1/2, and 1 for p = 1-4, respectively. The numerical procedures for Equations (4) and (6) are given in detail in [17,25,26], thus are not presented here.…”
Section: Governing Equations and Numerical Modelsmentioning
confidence: 99%
“…Based on these results, one can see although the Roe scheme experiences the largest speed-up on the AVX machine or the HLLC scheme achieves the largest improvement factor on the AVX-512 machine, both of these schemes are still significantly outperformed by the CU scheme with average multiplication factors of 1.4× and 1.25×, respectively. This is not so surprising since the computational procedures of both the HLLC and Roe solvers include complex branch statements (if-then-else), thus should theoretically be much more expensive than the CU scheme, see [17]. The HLLC scheme requires the nested branch statements; the first one is to compute the wave speeds, which are later required in the second branch statement for calculating the final convective fluxes.…”
Section: Performance Of Edge-driven Levelmentioning
confidence: 99%
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