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  • 8/3/2019 Investigasi Numerik Pada Interaksi Struktur Keairan Menggunakan Metoda Berbasis Partikel Untuk Aplikasi Maritim_Marine Transport_Sun_Fanfan

    1/1

    Numerical Investigations on Fluid-Structure InteractionsUsing Particle Based Methods for Marine Applications

    Fanfan Sun [email protected] - School of Engineering SciencesSupervisors Dr. Mingyi Tan and Professor Jing Tang Xing

    FSI Away Day 2010

    Fluid Structure Interactions

    Research Group

    Objective

    Theory

    The formulation of SPH is often divided into two steps: integral representation

    and then particle approximation.

    Integral representation:

    Particle approximation: and

    here h is the smoothing length defining the influence area

    Navier-Stokes equations:

    (1)continuity equation ; (2)momentum equation; (3)energy equation

    1). 2). 3).

    Applying SPH method to equations 1 , 2 and 3

    a). and b).

    c).

    considering unity property of kernel function showing below other forms of

    SPH equation can be funded

    Methodology

    Investigation of Convergence of SPH

    Conclusions

    SPH is a pure meshfree, particle based method which is widely used for

    fluid simulations especially rough sea motion simulations SPH approximations give accurate and reliable results

    Fluid simulation will finally be coupled with structure simulation using,

    for example, finite element method.

    Introduction & Motivation

    Many fluid-structure interaction problems often involve violent fluid

    motions in marine engineering field, such as slamming and green water

    when a ship travels in rough seas which can produce overall momentum

    change and deformation of the hull. Hence, it is important to consider the

    fluid-structure interactions, breaking waves and flow separations in order to

    avoid damages caused by dynamic loads on the structures.

    As it is difficult to obtain analytical solutions for such complicatedproblems, numerical methods and experiments are adopted ininvestigations. Traditional grid-based numerical methods like finite

    element method have been developed but they are not efficient forlarge deformation problems. Particle based methods like SmoothedParticle Hydrodynamics (SPH) are an alternative to simulate fluidflows due to their Lagrangian and meshless properties.

    To develop a numerical approach combing the smoothed particle

    hydrodynamics method for fluid and other methods, FEM for example, for

    structures to simulate violent fluid-structure interactions.

    Figure 1: Rough sea slamming on offshore structure Figure 2: slamming on ship

    (3.bp.blogspot.com/.../s200/freakwave.jpg)

    ijj

    N

    j j

    j

    i Wxfm

    xf )()(1

    '),'()'()( dxhxxWxfxf

    Hydrodynamics problems are generally expressed in the form of partial

    differential equations which is normally impossible to obtain analytical

    solutions for. Numerical solutions are necessary and SPH method is one of

    the efficient method to solve this type of problems. The key ideas include:

    Discreting the problem domain by a set of arbitrarily distributed particles.

    No connectivity for these particles is needed (meshfree)

    Approximating the field function by the integral representation method

    (integral function representation)

    Using particles to represent the kernel approximation by replacing the

    integration term with the discrete particle volume (compact support)

    Performing the particle approximation at every time step (adaptive)

    Approximating every term related to field function in the PDEs to

    produce a set of ODEs in discrete form with respect to time only

    (Lagrangian)

    Solving ODEs with explicit integration algorithm to obtain the time

    history of all the field variables for all the particles

    Convergence of the integral approximation and particle approximation

    adopted in SPH is studied using a simple function f(x)=exp(-x) by

    comparing the numerical results with analytical data

    Figure 3. comparing analytical results and kernel approximation results.

    x

    v

    Dt

    D

    xDt

    Dv 1

    x

    v

    Dt

    De

    ij

    N

    j

    ji Wm1

    i

    ij

    i

    N

    j j

    j

    ii

    x

    Wv

    m

    Dt

    D

    1 i

    ij

    j

    jN

    j

    j

    i

    i

    x

    Wm

    Dt

    Dv

    1

    1

    ii

    i

    i

    i

    ij

    ij

    j

    j

    i

    iN

    j

    ji u

    x

    Wv

    ppm

    Dt

    De

    2)(

    2

    122

    1

    Figure 4. comparing analytical results and particle approximation results.

    For integral

    approximation,

    Discretise the problem

    domain into N points

    with smoothing length

    h. Results agrees with

    analytical solution

    '),'('

    dxhxxWeexx

    For particle

    approximation,

    Discretise the problem

    domain into N particles

    Results agrees with

    analytical solution well

    ij

    xN

    j j

    jxWe

    me ji

    1

    01'),'(1 i

    ijN

    j j

    j

    x

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