Computational fluid dynamics modeling of abutment scour under steady current using the level set method

被引:1
|
作者
Mohammad Saud Afzal [1 ]
Hans Bihs [2 ]
Lalit Kumar [1 ]
机构
[1] Department of Civil Engineering,Indian Institute of Technology
[2] Department of Civil and Environmental Engineering,Norwegian University of Science and Technology
关键词
Sediment transport; Computational Fluid Dynamics(CFD); Reynolds-Averaged Navier Stokes(RANS); Level Set Method(LSM); Weighted Essentially Non-Oscillatory(WENO); Total Variation Diminishing(TVD);
D O I
暂无
中图分类号
U442.32 [];
学科分类号
0814 ; 081406 ;
摘要
The scour and deposition pattern around an abutment under constant discharge condition is calculated using a three dimensional(3D) Computational Fluid Dynamics(CFD) model.The Reynolds-Averaged Navier Stokes(RANS) equations are solved in three dimensions using a CFD model.The Level Set Method(LSM) is used for calculation of both free surface and bed topography.The two-equation turbulence model(k-ε and k-ω) is used to calculate the eddy viscosity in the RANS equations.The pressure term in the RANS equations on a staggered grid is modeled using the Chorin’s projection method.The 5th order Weighted Essentially Non-Oscillatory(WENO) scheme discretizes the convective term of the RANS equations.The Kovacs and Parker and Dey formulations are used for the reduction in bed shear stress on the sloping bed.The model also used the sandslide algorithm which limits bed shear stress reduction during the erosion process.The numerical model solution is validated against experimental results collected at the Politecnico di Milano,Milan,Italy.Furthe r,the numerical model is tested for perfo rmance by varying the grid sizes and key parameters like the space and time discretization schemes.The effect of varying bed porosity has been evaluated.Overall,the free surface is well represented in a realistic manner and bed topography is well predicted using the Level Set Method(LSM).
引用
收藏
页码:355 / 364
页数:10
相关论文
共 41 条
  • [31] Groove parameters optimization of rotary excitation control valve using computational fluid dynamics coupled with response surface method
    Zhao, Guochao
    Zhou, Guoqiang
    Wang, Hui
    Li, Nanqi
    AIN SHAMS ENGINEERING JOURNAL, 2023, 14 (12)
  • [32] Sediment transport simulation and design optimization of a novel marsh shoreline protection technology using computational fluid dynamics (CFD) modeling
    Sakib, Salman
    Besse, Grant
    Yin, Peng
    Gang, Daniel
    Hayes, Donald
    INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 2022, 37 (01) : 14 - 25
  • [33] Thermal optimization of a totally enclosed forced ventilated permanentmagnet traction motor using lumped parameter and partial computational fluid dynamics modeling
    Chen, Wei
    Wu, Gui-chu
    Fang, You-tong
    Ma, Ji-en
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2018, 19 (11): : 878 - 888
  • [34] Computational fluid dynamics modeling of coronary artery blood flow using OpenFOAM: Validation with the food and drug administration benchmark nozzle model
    Ali, Sajid
    Ho, Chien-Yi
    Yang, Chen-Chia
    Chou, Szu-Hsien
    Chen, Zhen-Ye
    Huang, Wei-Chien
    Shih, Tzu-Ching
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2024, 32 (04) : 1121 - 1136
  • [35] Computational Fluid Dynamics (CFD) Modeling and Analysis of Hydrocarbon Vapor Cloud Explosions (VCEs) in Amuay Refinery and Jaipur Plant Using FLACS
    Sajid, Zaman
    Khan, Muhammad Kashif
    Rahnama, Alireza
    Moghaddam, Farzan Sahari
    Vardhan, Kirti
    Kalani, Reema
    PROCESSES, 2021, 9 (06)
  • [36] Computational Fluid Dynamics Modeling of the Pressure Drop of an Iso-Thermal and Turbulent Upward Bubbly Flow Through a Vertical Pipeline Using Population Balance Modeling Approach
    Lotfi, Marzieh
    Chimeh, Arash Fassadi
    Dabir, Bahram
    Mohammadi, Amir H.
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2022, 144 (10):
  • [37] Simulation analysis of airflow alteration in the trachea following the vascular ring surgery based on CT images using the computational fluid dynamics method
    Chen, Fong-Lin
    Horng, Tzyy-Leng
    Shih, Tzu-Ching
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2014, 22 (02) : 213 - 225
  • [38] Computational fluid dynamics-Discrete element method simulation of the contact forces between microcapsules using a speed-up method with reduced Young's modulus
    Wang, Xianfeng
    Li, Wenji
    Ren, Jun
    Luo, Qiling
    Fang, Yuan
    Xing, Feng
    POWDER TECHNOLOGY, 2021, 392 : 23 - 37
  • [39] Numerical investigation of purge gas flow through binary-sized pebble beds using discrete element method and computational fluid dynamics
    Lee, Youngmin
    Choi, Dongkwon
    Hwang, Seon-Pil
    Ahn, Mu-Young
    Park, Yi-Hyun
    Cho, Seungyon
    Sohn, Dongwoo
    FUSION ENGINEERING AND DESIGN, 2020, 158 (158)
  • [40] Development of Pilot-Scale CO2 Methanation Using Pellet-Type Catalysts for CO2 Recycling in Sewage Treatment Plants and Its Validation through Computational Fluid Dynamics (CFD) Modeling
    Ahn, Jeongyoon
    Kim, Heysuk
    Ro, Yeonhee
    Kim, Jintae
    Chung, Woojin
    Chang, Soonwoong
    CATALYSTS, 2021, 11 (08)