The effects of aquifer heterogeneity on the 3D numerical simulation of soil and groundwater contamination at a chlor-alkali site in China

2018 ◽  
Vol 77 (24) ◽  
Author(s):  
Ge Chen ◽  
Yajun Sun ◽  
Jiayu Liu ◽  
Shougan Lu ◽  
Ling Feng ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Groundwater Contamination ◽  
3D Numerical Simulation ◽  
Aquifer Heterogeneity

3D numerical simulation of local scouring under hydrographs

2013 ◽  
Vol 166 (3) ◽  
pp. 120-131 ◽  
Author(s):  
Amir Ahmad Dehghani ◽  
Taymaz Esmaeili ◽  
Wen-Yi Chang ◽  
Navid Dehghani
Keyword(s):  
Numerical Simulation ◽  
3D Numerical Simulation

3D Numerical Simulation of the Process of Draining into a Lock

2013 ◽  
Vol 838-841 ◽  
pp. 1667-1670
Author(s):  
Ming Hua Deng ◽  
Zhu Gao ◽  
Da Wei Mao
Keyword(s):  
Numerical Simulation ◽  
Integral Method ◽  
Full Time ◽  
Inertia Effect ◽  
3D Numerical Simulation ◽  
Precise Estimation ◽  
Practical Engineering ◽  
Order Of Magnitude ◽  
Cfd Method ◽  
Ship Lock

In some textbooks, the Steady-flow Integral Method (SIM) was used to compute the full time of Draining into a Ship Lock, although this method is simple, it only provides a coarse estimation and somehow misleads the students due to approximating the unsteady problem as a steady one and ignoring the inertia effect. The more complex CFD-based model, FLUENT, was used to compensate these shortcomings, the Volume of Fluid (VOF) method was utilized to calculate the free-surface, and the turbulence closure was obtained by the realizable k-ε turbulence model. The values of draining time derived from the two different methods have the same order of magnitude. By CFD, a more precise estimation of the draining time and abundant details about the draining process were obtained. In practical engineering, the geometry of a lock is far more complex than here, the SIM is hard to satisfy the demands for a optimal design, while the CFD method is a nice choice for this purpose.

3D Numerical Simulation of a Laminar Experimental SWQ Burner with Tabulated Chemistry

2017 ◽  
Vol 100 (2) ◽  
pp. 535-559 ◽  
Author(s):  
A. Heinrich ◽  
S. Ganter ◽  
G. Kuenne ◽  
C. Jainski ◽  
A. Dreizler ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
3D Numerical Simulation ◽  
Tabulated Chemistry
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