Numerical Simulation and Parameter Optimization of a New Reed–Nylon Net Combined Sand Fence

Hao Peng, Afang Jin (), Shuzhi Zhang and Bin Zheng
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Hao Peng: College of Mechanical Engineering, Xinjiang University, Urumqi 830046, China
Afang Jin: College of Mechanical Engineering, Xinjiang University, Urumqi 830046, China
Shuzhi Zhang: College of Mechanical Engineering, Xinjiang University, Urumqi 830046, China
Bin Zheng: College of Mechanical Engineering, Xinjiang University, Urumqi 830046, China

Sustainability, 2023, vol. 15, issue 18, 1-19

Abstract: This paper introduces a kind of double-row reed–nylon net combined sand barrier. Using the computational fluid dynamics (CFD) method and the Euler–Euler double-fluid model, the new sand fences’ windproof effect and airflow features are simulated under different porosities and spacings, and the optimal configuration parameters are selected. The new sand fence has better windproof performance and practical significance than double-row reed and double-row nylon net fences. The new sand fences with a porosity of 0.3–0.4 and spacing of 28 H provide a longer protection range and a better wind protection effect. Considering the serious sand damage in China’s Taklamakan Desert, the new fences’ impact on sand buildup is examined. The combined sand fences have powerful sand blocking and accumulation effects, even though there is only a small quantity of sand accumulation on the leeward side of the second row. The sand particles primarily settle between sand fences in the center and rear areas. The combination of sand fences made of different materials combines the advantages of both, improves the construction efficiency and service life, and provides a more economical and efficient sand barrier arrangement for the arrangement of wind and sand-blocking facilities around railroads and highways in desert areas.

Keywords: reed; nylon net; windproof efficiency; sand control effect; parameter optimization; Hotan–Ruoqiang railway (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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