2022
DOI: 10.1016/j.oceaneng.2021.110227
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An experimental investigation of dam-break induced flood waves for different density fluids

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Cited by 12 publications
(3 citation statements)
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“…The time step of the model has a higher influence on the total computational time as it denotes the time taken by the fluid to pass a cell (Lavoie & Mahdi, 2017; Ozmen‐Cagatay et al, 2022). Large time steps would cause numerical diffusion and model instability in addition to attenuation of peak, whereas very small time steps would yield more computational time and possible model instability (Gaagai et al, 2022; Haltas, Tayfur, & Elci, 2016; Tedla et al, 2021).…”
Section: Time Stepmentioning
confidence: 99%
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“…The time step of the model has a higher influence on the total computational time as it denotes the time taken by the fluid to pass a cell (Lavoie & Mahdi, 2017; Ozmen‐Cagatay et al, 2022). Large time steps would cause numerical diffusion and model instability in addition to attenuation of peak, whereas very small time steps would yield more computational time and possible model instability (Gaagai et al, 2022; Haltas, Tayfur, & Elci, 2016; Tedla et al, 2021).…”
Section: Time Stepmentioning
confidence: 99%
“…Variable time steps primarily improve stability and reduce computational time and this feature is enabled in software such as TELEMAC‐2D, HEC RAS for 2D models (Grover et al, 2013) as well as in 3D models (FLOW‐3D). In here, the time step is automatically adjusted by respecting the Courant–Friedrichs–Lewy (CFL) stability criterion (Ozmen‐Cagatay et al, 2022). Pilotti et al (2020) used a variable time step for the 2D model to advance the simulation in time.…”
Section: Time Stepmentioning
confidence: 99%
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