Scholarlink

<p>River training structures like spur dikes play a critical role in flood risk and riverbank erosion control. However, the flood mitigation potential of vertically inclined porous spur dike remains underexplored in climate-adaptive river management. This study investigates how vertical porosity configurations (25% and 50%) with downstream/upstream inclinations (0°–30°) alter flow dynamics to optimize flood-resilient spur dike designs using ANSYS Fluent’s k-ε turbulence model. Validated against experimental data (R²=0.99), the computational analysis reveals key flood-protection mechanisms: (1) 16% reduction in near-bank flow velocity with 50% porosity and 30° downstream inclination, minimizing flood-induced erosion; (2) 75% and 93% reductions in turbulent kinetic energy and eddy dissipation, respectively, preventing structural failure during extreme hydrological events; and (3) optimal energy dissipation at 50% porosity, which diverts high-velocity flows away from critical infrastructure. While 25% porosity initially enhances velocity, exceeding this threshold with higher porosity and downstream inclination stabilizes flow patterns and reduces scour risk. The 30° downstream inclination emerges as the optimal design threshold, balancing structural integrity and flood mitigation performance. These findings advance sustainable river engineering by providing data-driven strategies for erosion control and flood-resilient infrastructure in climate-vulnerable regions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Geometrical optimization of spur dike porosity for sustainable flood resilience: a hydrodynamic evaluation

  • 期刊论文

  • 发表日期：

    2026年2月17日

查看全文
  • Nadir Murtaza,
  • Zeeshan Akbar,
  • Ghufran Ahmed Pasha,
  • Sohail Iqbal

摘要

River training structures like spur dikes play a critical role in flood risk and riverbank erosion control. However, the flood mitigation potential of vertically inclined porous spur dike remains underexplored in climate-adaptive river management. This study investigates how vertical porosity configurations (25% and 50%) with downstream/upstream inclinations (0°–30°) alter flow dynamics to optimize flood-resilient spur dike designs using ANSYS Fluent’s k-ε turbulence model. Validated against experimental data (R²=0.99), the computational analysis reveals key flood-protection mechanisms: (1) 16% reduction in near-bank flow velocity with 50% porosity and 30° downstream inclination, minimizing flood-induced erosion; (2) 75% and 93% reductions in turbulent kinetic energy and eddy dissipation, respectively, preventing structural failure during extreme hydrological events; and (3) optimal energy dissipation at 50% porosity, which diverts high-velocity flows away from critical infrastructure. While 25% porosity initially enhances velocity, exceeding this threshold with higher porosity and downstream inclination stabilizes flow patterns and reduces scour risk. The 30° downstream inclination emerges as the optimal design threshold, balancing structural integrity and flood mitigation performance. These findings advance sustainable river engineering by providing data-driven strategies for erosion control and flood-resilient infrastructure in climate-vulnerable regions.