Sand waves in environmental flows: Insights gained by coupling large-eddy simulation with morphodynamics

被引:47
作者
Sotiropoulos, Fotis [1 ,2 ]
Khosronejad, Ali [3 ]
机构
[1] SUNY Stony Brook, Coll Engn & Appl Sci, New York, NY 11794 USA
[2] SUNY Stony Brook, Dept Civil Engn, New York, NY 11794 USA
[3] Univ Minnesota, Coll Sci & Engn, St Anthony Falls Lab, Minneapolis, MN 55414 USA
基金
美国国家科学基金会;
关键词
SUSPENDED SEDIMENT TRANSPORT; SUBAQUEOUS BARCHAN DUNES; IMMERSED BOUNDARY METHOD; NUMERICAL-SIMULATION; TURBULENT-FLOW; BED FORMS; 3-DIMENSIONAL DUNES; LOCAL SCOUR; PART; MODEL;
D O I
10.1063/1.4939987
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Sand waves arise in subaqueous and Aeolian environments as the result of the complex interaction between turbulent flows and mobile sand beds. They occur across a wide range of spatial scales, evolve at temporal scales much slower than the integral scale of the transporting turbulent flow, dominate river morphodynamics, undermine stream-bank stability and infrastructure during flooding, and sculpt terrestrial and extraterrestrial landscapes. In this paper, we present the vision for our work over the last ten years, which has sought to develop computational tools capable of simulating the coupled interactions of sand waves with turbulence across the broad range of relevant scales: from small-scale ripples in laboratory flumes to mega-dunes in large rivers. We review the computational advances that have enabled us to simulate the genesis and long-term evolution of arbitrarily large and complex sand dunes in turbulent flows using large-eddy simulation and summarize numerous novel physical insights derived from our simulations. Our findings explain the role of turbulent sweeps in the near-bed region as the primary mechanism for destabilizing the sand bed, show that the seeds of the emergent structure in dune fields lie in the heterogeneity of the turbulence and bed shear stress fluctuations over the initially flatbed, and elucidate how large dunes at equilibrium give rise to energetic coherent structures and modify the spectra of turbulence. We also discuss future challenges and our vision for advancing a data-driven simulation-based engineering science approach for site-specific simulations of river flooding. (C) 2016 AIP Publishing LLC.
引用
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页数:22
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