3D Direct Numerical Simulation on the Emergence and Development of Aeolian Sand Ripples

Author:

Huo Xinghui,Dun Hongchao,Huang Ning,Zhang Jie

Abstract

A sand surface subjected to a continuous wind field exhibits a regular ripple surface. These aeolian sand ripples emerge and develop under the coupling effect between the wind field, bed surface topology, and sand particle transportation. Lots of theoretical and numerical models have been established to study the aeolian sand ripples since the last century, but none of them has the capability to directly reproduce the 3D long-term development of them. In this work, a novel numerical model with wind-blow sand and dynamic bedform is established. The emergence and long-term development of sand ripples can be obtained directly. The statistical results extracted from this model tally with those deduced from wind tunnel experiments and field observations. A simplified bed surface particle size description procedure is used in this model, which shows that the particle size distribution makes a very important contribution to sand ripples’ final steady state. This 3D bedform provides a more holistic view on the merging of small bumps before regular ripples’ formation. Analyzing the wind field results reveals an ignored development on the particle dynamic threshold during the bedform deformation.

Funder

Key Research and Development Program of Ningxia

Publisher

Frontiers Media SA

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy,Mathematical Physics,Materials Science (miscellaneous),Biophysics

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1. Mid‐Air Collisions Control the Wavelength of Aeolian Sand Ripples;Journal of Geophysical Research: Earth Surface;2024-03-27

2. Real-Time Sand Dune Simulation;Proceedings of the ACM on Computer Graphics and Interactive Techniques;2023-05-12

3. Numerical Investigation on Impact Erosion of Aeolian Sand Saltation in Gobi;Atmosphere;2023-02-09

4. Anomalous Scaling of Aeolian Sand Transport Reveals Coupling to Bed Rheology;Physical Review Letters;2023-02-03

5. A Method of Training Neural Networks to Extract Wind-formed Sand Ripples;2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE);2022-12

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