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  • 8/11/2019 TheHung-Korea8-2009Final

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    International Sym posium on W ater City W ater Forum

    Incheon, K orea 14 ~ 22 of A ugust, 2009

    ON THE FINITE ELEMENT TECHNIQUE

    FOR THE SHALLOW WATER EQUATIONS

    APPLICATION TO URBAN FLOODING

    NGUYEN The Hung(1)

    , TO Thuy Nga(2)

    , LE Hung(3)

    , LE Van Thao(4)

    (1) Faculty of water resources engineering, Danang University of Technology, 54 Street Nguyen

    Luong Bang, Lien Chieu Districts, Da Nang City, VietNam,

    Phone: (84).905233440 ; e-mail: [email protected] ; [email protected](2)

    Faculty of water resources engineering, Danang University of Technology, 54 Street Nguyen

    Luong Bang, Lien Chieu Districts, Da Nang City, VietNam,

    Phone: (84).905586568 ; e-mail: [email protected]

    (3) Faculty of water resources engineering, Danang University of Technology, 54 Street Nguyen

    Luong Bang, Lien Chieu Districts, Da Nang City, VietNam,

    Phone: (84).905888950 ; e-mail: [email protected](4)

    Faculty of water resources engineering, Danang University of Technology, 54 Street Nguyen

    Luong Bang, Lien Chieu Districts, Da Nang City, VietNam,

    Phone: (84).973496313 ; e-mail: [email protected]

    ABSTRACTA non standard Galerkin method for the solution of the shallow water equations in

    conservative form with using the characteristic-based split algorithm is presented. The main

    advantage of the model are high accuracy and ability solving the time discontinuous shock

    waves, the supercritical and subcritical regimes as well as the transitions between the regimes;

    the domain is discritization by triangular elements, so it is capable of handling complex

    geometry. The results are verified by comparison with measurement data; a case study on

    urban flooding, downstream of Han river, is showed.

    Keywords: Finite element method, shallow water equations, characteristic-based split

    algorithm

    1 INTRODUCTION

    The two dimensional horizontal flow model or shallow water equations system are very

    popular for treatment of flow of lakes, rivers, oceans.

    Many difficults issues for solving the two dimensional horizontal flow model are non-self

    adjoint operator in governing equations and how to treat the nonlinear advective terms

    (Cullen and Morton, 1980; Zienkiewicz and Taylor, 2002).

    The finite element method when applied to hydrodynamic problems gives an accuratesolution. This method is conservative and therefore avoids aliasing errors associated with

    nonlinear terms.

    Moreover, it has the advantage over the finite difference method of being flexible in the

    treatment of irregular domains and to allow a variable resolution, thus permitting a focus on

    regions of interest.

    Navon (1982, 1983) introduced the Numerov Galerkin finite element method for the

    shallow water equations with an Augmented Lagrangian constrained optimization method to

    enforce integral invariants conservation. Similar work was done by Zienkiewicz and

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    International Sym posium on W ater City W ater Forum

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    Heinrich (1979) with a finite element penalty method, and by Zienkiewicz and others (1984).

    Navon (1987 ), N. T. Hung (2004) applied a two-stage finite element Galerkin method

    combined with a high-accuracy compact approximation to the first derivative for solving the

    shallow water equations.

    In this paper, Author develops the characteristic- based split (CBS) algorithm for the

    temporal discretization and a non- standard Galerkin finite element method for space solving

    the full shallow water equation.

    2. THE CHARACTERISTIC BASED SPLIT ALGORITHM FOR THE SHALLOW

    EQUATION

    2.1. Governing equationThe shallow water equations in conservative form are as follow ( 7 ):

    Where Q, Fx, Fy, H : are vectors, and

    +=

    yx

    xxx

    h

    h

    pq

    hgh

    h

    p

    p

    F 22

    2

    1 (3)

    +

    =

    yy

    xy

    y

    hgh

    h

    q

    h

    h

    pq qF

    22

    2

    1

    (4)

    ++

    ++

    =

    3/72

    0

    222

    0

    3/72

    0

    222

    0

    0

    hC

    qpqng

    y

    zgh

    hC

    qppng

    x

    zghH

    (5)

    where:

    p = u.h, u = Being the depth-averaged x-direction component of velocity

    q = v.h, v = Being the depth-averaged y-direction component of velocity

    h = water depth

    g = Celeration due to gravity

    xx, xy, yx, yy = Reynolds stresses where the first subscript indicates the axis

    )1(0=+

    +

    +

    Hy

    F

    x

    F

    t

    Q yx

    )2(

    =qp

    h

    Q

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    International Sym posium on W ater City W ater Forum

    Incheon, K orea 14 ~ 22 of A ugust, 2009

    direction normal to the face on which the stress acts

    = Fluid densityz0= Channel invert elevation

    n = Mannings roughness coefficient

    C0 = Dimensional constant (C0= 1 for SI units and C0= 1.486 for English units)

    The Reynolds stresses are determined using the Boussinesq approach relating stress to

    the gradient in the mean currents:

    y

    vv

    x

    v

    y

    uv

    x

    uv

    tyy

    txyxy

    txx

    =

    +

    ==

    =

    2

    )(

    2

    (6)

    wheret= is the eddy viscosity, which varies spatially and is solved empirically as a functionof local flow variables (Rodi 1980):

    6/1

    0

    22

    8.hC

    qpgnCt += (7)

    Where C = is a coefficient that varies between 0.1 1.0

    2.2 The split - temporal discretization

    Equation (1) can rewrite as follow:

    +

    = nyx H

    y

    F

    x

    F

    t

    Q (8)

    With Hn+

    being treated as a known quantity evaluated at t = tn + .t in a time

    increment t; and [0,1].

    Equation (8) can discritize in time using the characteristic - Galerkin process(Zienkiewicz and Taylor, 2002)n

    yx

    k

    k

    nn

    y

    n

    x

    nn HFy

    Fxx

    ut

    HFy

    Fx

    tQQ

    +

    +

    +

    = ++ )))()((..2

    ()()(1 (9)

    where k = 1,2 ; u1 = u ; u2= v

    At this stage we have to introduce the split in which we substitute a suitable

    approximation for H.

    First, we remove the term H from Eq. (9), and the next step we introduce an auxiliary

    variable Q*such that

    n

    yx

    k

    kyx

    n

    Fy

    Fxx

    utFy

    Fx

    tQ

    QQQ

    ++=

    =

    ))()((..2

    )()(*

    **

    (10)

    Equation (10) will be solved subsequently by an explicit time step applied to the

    discritized form. The correction step is as follow

    k

    n

    k

    nn

    x

    Hu

    tQQQQ

    == + ..2

    2*1

    (11)

    The above equation is fully self-adjoint in the variable Q which is the unknown; so a

    Galerkin type procedure can be optimally used for spatial approximation.

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    International Sym posium on W ater City W ater Forum

    Incheon, K orea 14 ~ 22 of A ugust, 2009

    Figure 4:Upstream boundary condition of scenario A!Discharge Q "t

    Figure 5:Upstream boundary condition of scenario B - Discharge Q "t

    Figure 6:Downstream boundary condition!Tidal water level H "t

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    International Sym posium on W ater City W ater Forum

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    4 CONCLUSIONIn comparison with the Galerkin finite element method , it is observed that the

    characteristic - non Galerkin method with using the characteristic-based split algorithm for the

    solution of the shallow water equations in conservative form is more accuracy and ability to

    solve the time discontinuous shock waves, the supercritical and subcritical regimes as well as

    the transitions between the regimes because of self-adjoint operator of governing equations

    and using special test function. This model is good applying in urban flooding.

    REFERENCES

    Cullen, M. J. P., and Morton, K., K., 1980, Analysis of evolutionary error in finite element

    and other methods,Jour. Comput. Phys., v.34, p. 245-267.

    Navon, I. M., 1982, A Numerov-Galerkin technique applied to a finite element shallow

    water equations model with exact conservation of integral invariants, in Kaway, T., ed.

    Finite element flow analysis, Univ. Tokyo Press, Tokyo, p. 75-86.

    Navon, I. M., 1983, A Numerov-Galerkin technique applied to a finite element shallow water

    equations model with enforced conservation of integral invariants and selective lumping,

    Jour. Comput. Phys., v.52, N0.2, p. 313-339.

    Navon, I. M., 1987, A two stage, high accuracy, finite element Fortran program for solvingshallow water equations, Computers & Geosciences, v.13, n

    0. 3, p. 255-285.

    NGUYEN The Hung, Mathematical model of the two dimensional vertical flow,Journal of

    Vietnam National Science & Technology, N07+8, Hanoi 1990.

    NGUYEN The Hung, Mathematical modeling of sediment transport two dimensional

    horizontal, Proceedings of International Conference on Engineering Mechanics Today,

    Vol. 1, p. 541-548, Hanoi 1995.

    NGUYEN The Hung, 2004, Finite element method in flow problems, Construction Pub.

    House, Hanoi.

    NGUYEN The Hung, 2005, A two stage, high accuracy, finite element technique of the two

    dimensional horizontal flow model, Modeling, Simulation and Optimization of Complex

    Processes: Springer- Verlag Berlin Heidelberg, p. 255-233.

    NGUYEN The Hung & LE Van Hoi (2001), Applying mathematical models forecast

    inundation of Han river, Danang City (Project: Treatement of pollution environment causing

    flooded and intensity of capacity to cope of flooding damage problems in Danang City).

    Zienkiewicz, O. C., and Heinrich, J. C., 1979, A unified treatment of steady stage shallow

    water equations and two dimensional Navier-Stocks equations a finite element penalty

    function approach : Computer Math. Appl. Mech. and Eng., v. 17/18, p. 673-688.

    Zienkiewicz, O. C., Vilotte, J. P., Nakazawa, S., and Toyoshima, S., 1984, Iterative methods

    for constrained and mixed approximation : an inexpensive improvement of F.E.M.

    performance : Inst. Numerical methods in Engineering Report C/R/489/84, Swansea,

    United Kingdom, 20p.

    Zienkiewicz, O. C., and Taylor R. L., The Finite element method, 5th

    edition Butterworth

    Heinemann 2000.