شماره ركورد كنفرانس :
3358
عنوان مقاله :
DISCRETIZATION OF SEEPAGE THEOREM IN EMBANKMENT DAMS BY FINITE VOLUME TECHNIQUE
Author/Authors :
H. R. VOSOUGHIFAR Civil Engineering Department - Islamic Azad University - Tehran South Unit - Tehran - Iran , A SHAMSAI Civil Engineering Department - Sharif University of Technology - Tehran - Iran , M. R DLPARVAR Railway Engineering Department - University of Science and Technology (IUST) - Tehran - Iran
كليدواژه :
Unstructured grid , Matlab , Finite volume , Seepage , Embankment dams
عنوان كنفرانس :
73rd Annual Meeting of ICOLD
چكيده لاتين :
In this paper, a finite volume scheme has been used to discretize seepage theorem in embankment
dams. This method combines the advantages of numerical discretization and finite volume method.
The equations are discretized using a finite volume approach. The governing equations of saturatedunsaturated
flow are introduced and the finite volume method is applied to discretize them in space.
The techniques of determining the seepage faces and computing the discharge rate through a specified
section are proposed. Consequently, a mathematical model for multi-component flow transport in an
anisotropic media is presented which couples the equations for multi-component diffusion and
Darcy’s law for flow in a porous medium. Flow flux was obtained from upwind approximation or
central differencing or hybrid approximations. Furthermore application of an integrated matlab system
in several studies has been provided. The integrated matlab is based on open data formats and
standards and may be used for many other application areas, especially where modeling in 2D and 3D
is involved. Numerical comparison of the extend of the measured seepage from the Sonbolroud dam,
using a numerical method in which discretization technique by finite volume using modified
unstructured grids has been employed, demonstrates that the presented numerical method has a
satisfactory accuracy. The extent of error compared to the measured results in case of using this
method is about %3.