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Overview of Finite Volume Methods for Solution of the Shallow Water Equations in 1D and 2D Prof. Arturo S. Leon, Ph.D., P.E., D.WRE Florida International University

Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

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Page 1: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Overview of Finite Volume Methods for Solution of the Shallow Water Equations in 1D and 2D

Prof. Arturo S. Leon, Ph.D., P.E., D.WREFlorida International University

Page 2: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Evolving from Finite Difference (FD) to Finite Volume (FV)• Over the last several decades, the shallow water

equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques.

• Since about a decade ago (~2005), there is more emphasis on using Finite-Volume (FV) methods for the solution of the shallow water equations in 1D and 2D

• A FV solution approach, similar to what was added for 2D modeling will be available for 1D modeling in HEC-RAS version 5.1

Page 3: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Preissmann Scheme (Finite Difference) This method has been widely used (e.g.,

HEC-RAS)

The advantage of this method is that variable spatial grid may be used

Steep wave fronts may be properly simulated by varying the weighting coefficient

1D HEC-RAS (< V. 5.1)

Page 4: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

1 11 1( ) ( )2

k k k ki i i if f f ff

t t

xff

xff

xf k

ik

ik

ik

i

))(1()( 1

111

))(1(21)(

21

111

1k

ik

ik

ik

i fffff

Preissmann Scheme cont…

Where α is a weighting coefficient By selecting a suitable value for α, the scheme may

be made totally explicit (α=0) or implicit (α=1) Usually, the scheme is stable if 0.6< α ≤1.

Page 5: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Finite Volume Methods(1D-2D)

Adapted from Lecture Notes on Shallow-Water equations by Andrew Sleigh, Toro (1999,2001) and Leon et al. (2006, 2010)

Page 6: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Ability to handle extreme flows Transitions between subcritical / supercritical

flows are easily handled– Other techniques have problems with trans-critical

flows Steep wave fronts can be accurately

simulated

Finite Volume Shock-Capturing Methods

Page 7: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Dam break

Source: An unstructured node-centered finite volume scheme for shallow water flows with wet/dry fronts over complex topography, Nikolos and Delis

Page 8: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Dam break (animation)http://www.youtube.com/watch?v=-QXUViTi_b0

Page 9: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Shallow-water equations in 1D

USUFU xt

QA

U

1

2

gIA

QQ

UF

fo SSgAgI

US2

0

Governing equations in conservative form

Page 10: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

I1 and I2 Trapezoidal channel

– Base width B, Side slope SL= Y/Z

Rectangular, SL = 0

Source term

322

1LShBhI

dxdSh

dxdBhI L

3212

2

BABhI22

22

1 dxdB

BAI 2

2

2 2

)3/4(2

2

RAnQQ

S f

Page 11: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Rectangular Prismatic

huh

U

22

21 ghhu

huUF

fo SSgh

US0

dUUSdtUFdxUVV

Page 12: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Finite volume formulation For homogeneous form

– i.e. without source terms

rectangular control volume in x-t space

0V

dtUFdxU

xi-1/2 xi+1/2

tn+1

i

Fi-1/2Fi+1/2

xi-1/2 xi+1/2

tn+1

i

Fi-1/2Fi+1/2

t

x

Page 13: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Finite Volume Formulation (Cont.)

Defining as integral averages

Finite volume formulation becomes

1/2

1/2

1 ,i

i

xni nx

U U x t dxx

1/2

1/2

11

1 ,i

i

xni nx

U U x t dxx

1

1/2 1/21 ,n

n

t

i itF F U x t dt

t

1

1/2 1/21 ,n

n

t

i itF F U x t dt

t

2/12/11

iini

ni FF

xtUU

Page 14: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

So far no approximation was made

The solution now depends on how the integral averages are estimated

In particular, the inter-cell fluxes Fi+1/2 and F1-1/2

need to be estimated.

Finite Volume Formulation (Cont.)

Page 15: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Godunov method for flux comput. Uses information from the wave structure Assume piecewise linear data states

Flux calculation is solution of local Riemann problem

n

n+1

i-1 i i-1

Fi+1/2Fi-1/2Cells

Data states

n+1

n

U(0)i+1/2U(0)i-1/2

n

n+1

i-1 i i-1

Fi+1/2Fi-1/2Cells

Data states

n+1

n

U(0)i+1/2U(0)i-1/2

Page 16: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Riemann Problem The Riemann problem is an initial value

problem defined by

The solution of this problem can be used to estimate the flux at xi+1/2

0 xt UFU

2/11

2/1,i

ni

ini

n xxifUxxifU

txU

Page 17: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Riemann Problem (Cont.)The Riemann problem is a generalisation of the dam break problem

Dam wall

Deep water at rest

Shallow water at rest

Dam wall

Deep water at rest

Shallow water at rest

Page 18: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Dam Break Solution

Evolution of solution

x

x

x

Water levels at time t=t*

t*t

Velocity at time t=t*

v

h

Shock

Rarefaction

xx

xx

xx

Water levels at time t=t*

t*t

Velocity at time t=t*

v

h

Shock

Rarefaction

Wave structure

Page 19: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Exact Solution

Toro (1992) demonstrated an exact solution

Considering all possible wave structures a single non-linear algebraic equation gives solution.

Page 20: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Exact Solution Consider the local Riemann problem

Wave structure

0 xt UFU

00

0,xifUxifU

xUR

L

x

t

Right wave, (u+c)Left wave (u-c)Star region, h*, u*

(u)

vL

tShear wave

vR

hL, uL, vL hR, uR, vR

0xx

t

Right wave, (u+c)Left wave (u-c)Star region, h*, u*

(u)

vL

tShear wave

vR

hL, uL, vL hR, uR, vR

0

hvhuh

U

huv

ghhuhu

UF 22

21

Page 21: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

PossibleWave structures

x

tRight Shock

Left Rarefaction Shear wave

x

t

Left Shock Right RarefactionShear wave

x

tRight Rarefacation

Left RarefactionShear wave

x

t

Right ShockLeft ShockShear wave

xx

tRight Shock

Left Rarefaction Shear wave

xx

t

Left Shock Right RarefactionShear wave

xx

tRight Rarefacation

Left RarefactionShear wave

xx

t

Right ShockLeft ShockShear wave

Across left and right wave h, u change v is constant

Across shear wave v changes, h, u constant

LL cudtdx /**/ cudtdx

LL cudtdx /

**/ cudtdx

* */dx dt u c

/ R Rdx dt u c

* */dx dt u c / R Rdx dt u c

Page 22: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Conditions across each wave

Left Rarefaction wave

Smooth change as move in x-direction Bounded by two (backward) characteristics

Left bounding characteristic

x

t

hL, uL h*, u*

Right bounding characteristic

LL cudtdx / **/ cudtdx

Page 23: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Crossing the rarefaction

We cross on a forward characteristic

States are linked by:

or

constant2 cu

** 22 cucu LL

** 2 ccuu LL

Page 24: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Solution inside the left rarefaction

The backward characteristic equation is For any line in the direction of the rarefaction

Crossing this the following applies:

Solving gives

On the t axis dx/dt = 0

cucu LL 22

cudtdx

dtdxcuc LL 2

31 1 2 2

3 L Ldxu u cdt

LL cuc 231

LL cuu 231

Page 25: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Right rarefaction

Bounded by forward characteristics Cross it on a backward characteristic

In rarefaction

On the t axis dx/dt = 0

RR cuc 231

** 22 cucu RR RR ccuu ** 2

dtdxcuc RR 2

31

dtdxcuu RR 22

31

cudtdx

RR cuu 231

Page 26: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Shock waves

Two constant data states are separated by a discontinuity or jump

Shock moving at speed Si

Using Conservative flux for left shock

LL

LL uh

hU

**

** uh

hU

Page 27: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Conditions across shock

Rankine-Hugoniot condition

Entropy condition

λ1,2 are equivalent to characteristics. They tend towards being parallel at shock

LiL UUSUFUF **

*USU iiLi

Page 28: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Shock analysis

Change frame of reference, add SL

Rankine-Hugoniot (mass and momentum ) gives

LLL Suu ˆLSuu **ˆ

LL

LL uh

hU

ˆˆ

**

** ˆ

ˆuh

hU

222*

2**

**

21ˆ

21ˆ

ˆˆ

LLL

LL

ghuhghuh

uhuh

Page 29: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Shock analysis

Mass flux conserved

From momentum eqn.

Using

also

LLL uhuhM ˆˆ**

L

LL uu

hhgMˆˆ2

1*

22*

** /ˆ hMu L LLL hMu /ˆ

LLL hhhhgM **21

LL uuuu ** ˆˆ

L

LL uu

hhgM*

22*

21

Page 30: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Left Shock Equation

Equating gives

Also

LLL hhfuu ,**

L

LLLL hh

hhghhhhf*

*** 2

1,

L L L LS u c q

2

**

21

L

LL h

hhhq

Page 31: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Right Shock Equation

Similar analysis gives

Also

RRR hhfuu ,**

R

RRRR hh

hhghhhhf*

*** 2

1,

R R R RS u c q

2

**

21

R

RR h

hhhq

Page 32: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Complete equation Equating the left and right equations for u*

Which is the iterative of the function of Toro (2001)

* *,L L Lu u f h h RRR hhfuu ,**

* *, , 0R L L L R Ru u f h h f h h

0,, *** uhhfhhfhf LRLL

Page 33: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Determine which wave

Which wave is present is determined by the change in data states thus:

– h* > hL left wave is a shock– h* ≤ hL left wave is a rarefaction

– h* > hR right wave is a shock– h* ≤ hR right wave is a rarefaction

Steps to determine exact solution

Page 34: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Solution Procedure Construct this equation

And solve iteratively for h (=h*). – The functions may change in each iteration

, ,L L R Rf h f h h f h h u

Page 35: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

f(h) The function f(h) is defined as

And u*

, ,L L R Rf h f h h f h h u

)(21

)(2

shockhhifhh

hhghh

nrarefactiohhifghghf

LL

LL

LL

L

)(21

)(2

shockhhifhh

hhghh

nrarefactiohhifghghf

RR

RR

RR

R

LR uuu

* * *1 1 , ,2 2L R R R L Lu u u f h h f h h

Page 36: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Iterative solution

The function is well behaved and solution by Newton-Raphson is fast – (2 or 3 iterations)

One problem – if negative depth calculated! This is a dry-bed problem. Check with depth positivity condition:

RLLR ccuuu 2

Page 37: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Dry–Bed solution

Dry bed on one side of the Riemann problem

Dry bed evolves Wave structure is

different.

x

t

x

t

x

t

Wet bed

Dry bed

Wet bed

Wet bed

Wet bed

Dry bed

Dry bed

xx

t

xx

t

xx

t

Wet bed

Dry bed

Wet bed

Wet bed

Wet bed

Dry bed

Dry bed

Page 38: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Dry-Bed Solution (Cont.) Solutions are explicit

– Need to identify which applies – (simple to do) Dry bed to right

Dry bed to left

Dry bed evolves h* = 0 and u* = 0– Fails depth positivity test

LL cuc 231

* LL cuu 231

*

RR cuc 231

* RR cuu 231

*

gch /2**

Page 39: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Shear wave (discontinuities that arise from eigenmodal analysis)

The solution for the shear wave is straight forward.– If vL > 0 v* = vL

– Else v* = vR

Can now calculate inter-cell flux from h*, u* and v*– For any initial conditions

Page 40: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Approximate Riemann Solvers –1D Model No need to use exact solution

Exact solutions require iterations and are computationally expensive

For some problems, exact solutions may not exist

Many Riemann solvers are available (Roe’s and HLL are most popular)

Page 41: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Toro Two-Rarefaction Solver

Assume two rarefactions Take the left and right equations

Solving gives

For critical rarefaction use solution earlier

** 2 ccuu LL RR ccuu ** 2

24*RLRL ccuuc

Page 42: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Toro Two-Shock Solver Assuming the two waves are shocks

Use two rarefaction solver to give h0

RL

RLRRLL

qquuhqhqh

*

LLRRRL qhhqhhuuu *** 21

21

Lo

LoL hh

hhgq2

Ro

RoR hh

hhgq2

Page 43: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Roe’s Solver Governing equations are approximated as:

Where is obtained by Roe averaging

xtxtxt UAUAUUUFU ~

A~

L L R R

L R

u h u hu

h h

RLhhh ~

22

21~

RL ccc

Approximate Riemann Solvers – 1D

; L L R Rc gh c gh

Page 44: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Roe’s Solver (Cont.) Properties of matrix

– Eigen values

– Right Eigen vectors

– Wave strengths

Flux is given by

cu ~~~1 2 u c

cu

R ~~1~ )1(

cu

R ~~1~ )2(

u

chh ~

~

21~

1

u

chh ~

~

21~

2

; R L R Lh h h u u u

2

112/1

~~~21

21

j

jjj

ni

nii FFF R

Page 45: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

HLL Solver Harten, Lax, Van Leer Assume wave speed Construct volume Integrate

Or,

t

URUL

U*

FRFL F*

t

xL xR

t

URUL

U*

FRFL F*

t

xL xR

0* LRRLRRLL tUtUUxxUxUx

txS L

L

t

xS RR

LRRLLLRR SSFFUSUSU /*

LRLRRLRLLR SSUUSSFSFSF /*

Page 46: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

HLL Solver What wave speeds to use?

– One option:

For dry bed (right)

Simple, but robust

TRTRLLL cucuS ,min

TRTRRRR cucuS ,min

LLL cuS

RRR cuS 2

Page 47: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Higher-Order in Space Construct Riemann problem using surrounding cells May create oscillations Piecewise reconstruction

Need to use limiters

i-1 i i+1 i+2

i-1 i i+1 i+2

L

R

LR

Page 48: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Limiters Obtain a gradient for variable in cell i, Δi

Gradient obtained from Limiter functions Provide gradients at cell faces

Limiter Δi =G(a,b)

iiL xUU 21

11 21

iiR xUU

ii

iii xx

uua

2/1

12/1

1

12/1

ii

iii xx

uub

Page 49: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Limiters (Cont.) A general limiter

β=1 give MINMOD, β=2 give SUPERBEE

Van Leer

0,max,,max,0min0,min,,min,0max

,aforbabaaforbaba

baG

ba

bababaG

,

Page 50: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Higher order in time Needs to advance half time step MUSCL-Hancock

– Primitive variable– Limit variable– Evolve the cell face values 1/2t:

Update as normal solving the Riemann problem using evolved WL, WR

0 xt WWAW

Ri

Li

ni

RLi

RLi x

t WWWAWW

21,,

2/12/11

iini

ni FF

xtUU

Page 51: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Wet / Dry Fronts

Wet / Dry fronts are difficult– Source of error– Source of instability

Found in: Filling of storm-water and combined sewer

systems Flooding - inundation

Page 52: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Dry front speed

Dry front is fast Can cause problem with time-step / Courant

number

*

*

2 20

2

L

L L

L L L

S u cu c u c

cS u c

t

Wet bed

x

Dry bed

Page 53: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Solutions for wet/dry fronts

Most popular way is to artificially wet bed Provide a small water depth with zero

velocity Can drastically affect front speed Need to be very careful about dividing by

zero

Page 54: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Boundary Conditions

Set flux on boundary– Directly– Ghost cell

Wall u, v = 0. Ghost cell un+1=-un

Transmissive Ghost cell hn+1 = hn

un+1 = un

Page 55: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Source Terms

“Lumped” in to one term and integrated Attempts at “upwinding source” Current time-step

– Could use the half step value E.g.

xB

BKuu

xzghS

2

02

2

nRK

3/2

2/1CRK

Page 56: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Main Problem is Slope Term Flat still water over uneven bed starts to

move. Problem with discretisation of

xzgh

xzzgh lr

i

i-1 i i+1

z, hx

datum level

bed level

water surface

iz1izlz1iz

rh

rz

1ihihlh1ih

Page 57: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Discretisation

Discretised momentum eqn

For flat, still water

Require

lrirl

rlini zzgh

xtghghhuhu

xthuhu

22

22221

022

221

ri

rli

lni zhhzhh

xtghu

rir

lil zh

hzh

h

22

22

Page 58: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

A solution Assume a “datum” depth, measure down.For horizontal water surface:

Momentum eqn:– Flat surface

212

i ii i

h hzg h g h gx x x

x

zzhzzhg liirii

22

21

2222'

2 liiriirli zzhzzhhhxtghu

liil zzhh riir zzhh

ihzx x

Page 59: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Shallow-water in two-dimensions

In 2-d we have an extra term:

Friction

hvhuh

U

yy

xx

fo

fo

SSghSSghUS

0

22)3/1(

2

vuuhnS

xf

USUGUFU yxt

huv

ghhuhu

UF 22

21

22

21 ghhv

huvhu

UG

Page 60: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Finite Volume in 2-DIf nodes and sides are labelled as :

Solution is

Where Fns1 is normal flux for side 1 etc.

A1A3

A2

A4

V

L4L3

L2

L1

A1A3

A2

A4

V

L4L3

L2

L1

11 1 2 2 3 3 4 4

n ni i s s s s

tU U Fn L Fn L Fn L Fn LV

Page 61: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

FV 2-D Rectangular Grid

Solution is

Fi-1/2Fi+1/2

Gj-1/2

Gj+1/2

i+1/2,j-1/2

i-1/2,j+1/2

i-1/2,j-1/2

i+1/2,j+1/2

i, jFi-1/2Fi+1/2

Gj-1/2

Gj+1/2

i+1/2,j-1/2

i-1/2,j+1/2

i-1/2,j-1/2

i+1/2,j+1/2

i, j

2/1,2/1,,2/1,2/11

jijijijini

ni GG

ytFF

xtUU

y

x

Page 62: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Eigen values

Right Eigen vectors

cu ~~~1 3 u c

(1)

1R u c

v

(3)

1R u c

v

2 u

(2)

001

R

Roe’s Solver:

Roe’s Solver is simple and one of the most popular. This solver will be used in this class.

Approximate Riemann Solvers – 2D

Page 63: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

L L R R

L R

u h u hu

h h

L L R R

L R

v h v hv

h h

22

21~

RL ccc

; L L R Rc gh c gh

RLhhh ~

Roe’s Solver (Cont.)

Where:

Page 64: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Wave strengths1 2

1 2 3 1

1 23

( ) ; ; 2

( )2

u u c u u v uc

u u c uc

Roe’s Solver (Cont.)

1 2

3

; or ;

R L R R L L R L

R R R L

u h h u u h u h q qu h v h v

Where:

Page 65: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Update of solution:

3

1/2 11

1 12 2

jn ni i i j j

jF F F

R

Roe’s Solver (Cont.)

Numerical Flux is given by (Toro 2001)

2/1,2/1,,2/1,2/11

jijijijini

ni GG

ytFF

xtUU

Page 66: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

Show Demo in MATLAB for Solution of 2D Shallow Water Equations using Roe’s solver (Droplets and Dam break problem)Download Matlab files from Canvas.

Page 67: Lecture Solution Shallow water FD FV 1D 2D · equations in 1D and 2D were solved mostly using Finite Difference (FD) techniques. • Since about a decade ago (~2005), there is more

References E.F. Toro. Riemann Solvers and Numerical Methods for

Fluid Dynamics. Springer Verlag (2nd Ed.) 1999.

E.F. Toro. Shock-Capturing Methods for Free-Surface Flows. Wiley (2001)

Lecture notes on Shallow-Water equations by Andrew Sleigh

Leon, A. S., Ghidaoui, M. S., Schmidt, A. R. and Garcia, M. H. (2010) “A robust two-equation model for transient mixed flows.” Journal of Hydraulic Research, 48(1), 44-56.

Leon, A. S., Ghidaoui, M. S., Schmidt, A. R. and Garcia, M. H. (2006) “Godunov-type solutions for transient flows in sewers”. Journal of Hydraulic Engineering, 132(8), 800-813.