james pm syvitski & eric wh hutton, csdms, cu-boulder
DESCRIPTION
Earth-surface Dynamics Modeling & Model Coupling A short course. James PM Syvitski & Eric WH Hutton, CSDMS, CU-Boulder With special thanks to Jasim Imran, Gary Parker, Marcelo Garcia, Chris Reed, Yu’suke Kubo, Lincoln Pratson. after A. Kassem & J. Imran. - PowerPoint PPT PresentationTRANSCRIPT
James PM Syvitski & Eric WH Hutton, CSDMS, CU-BoulderWith special thanks to Jasim Imran, Gary Parker, Marcelo
Garcia, Chris Reed, Yu’suke Kubo, Lincoln Pratson
after A. Kassem after A. Kassem & J. Imran& J. Imran
Earth-surface Dynamics Modeling & Model Coupling A short course
Module 6: Density Currents, Sediment Failure & Gravity Flows
ref: Syvitski, J.P.M. et al., 2007. Prediction of margin stratigraphy. In: C.A. Nittrouer, et al. (Eds.) Continental-Margin Sedimentation: From Sediment Transport to Sequence Stratigraphy. IAS Spec. Publ. No. 37: 459-530.
Density Currents (2)Hyperpycnal Modeling (11)Sediment Failure Modeling (2)Gravity Flow Decider (1)Debris Flow Modeling (3)Turbidity Current Modeling (6)Summary (1)
Earth-surface Dynamic Modeling & Model Coupling, 2009
DNS simulation, E. Meiberg
Density-cascading occurs where shelf waters are made hyper-dense through: cooling (e.g. cold winds blowing off the land), or salinity enhancement (e.g. evaporation through winds, brine rejection under ice)Shelf Flows converge in canyons and accelerate down the slope. Currents are long lasting, erosive & carry sediment downslope as a tractive current, or as turbidity current.
Earth-surface Dynamic Modeling & Model Coupling, 2009
Cold water enters canyon across south rim. Erosive current generates furrows. Sand and mud carried by currents.
POC: Dan Orange
Earth-surface Dynamic Modeling & Model Coupling, 2009
SAKURA for modeling hyperpycnal flowsafter Y. Kubo
• Dynamic model based on layer-averaged, 3-equations model of Parker et al. (1986)• Able to simulate time-dependent flows at river mouth• Data input: RM velocity, depth, width, sediment concentration.• Predicts grain size variation within a turbidite bed• Applicable to complex bathymetry with upslope
Earth-surface Dynamic Modeling & Model Coupling, 2009
1. layer-averaged, 3-equations model with variation in channel width
2. Eulerian type (fixed) grid, with staggered cell
3. Two-step time increments
The model employs…
€
du
dt+ u
du
dx+
u2
2w
dw
dx= gΔρCS −
gΔρ
2hw
d
dxCh2w( ) −
Cdu2
h+ν 1+ 2.5C( )
d2u
dx2
dh
dt+
1
w
d
dxuhw( ) = Ewu
dCh
dt+
1
w
d
dxuChw( ) = Ferosion − Fdeposition
C, H cell centerU cell boundary
Good for mass conservation
Earth-surface Dynamic Modeling & Model Coupling, 2009
Mixing of freshwater and seawater
Hyperpycnal flows in the marine environment involve freshwater and the sediment it carries mixing with salt water. River water enters the marine basin with a density of 1000 kg/m3, where it mixes with ocean water having a density typically of 1028 kg/m3. This mixing increases the fluid density of a hyperpycnal current, and alters the value of C and R, where
where is density of the fluid in the hyperpycnal current, sw is density of the ambient seawater, f is density of thehyperpycnal current (sediment and water), and s is grain density
Earth-surface Dynamic Modeling & Model Coupling, 2009
4. TVD scheme for spatial difference uses…
5. Automatic estimation of dt
• Uses 1st order difference scheme for numerically unstable area and higher order scheme for stable area
• Avoids numerical oscillation with relatively less numerical diffusion
• Possibly causes break of conservation law →used only in momentum equation.
dt is determined from dx/Umax at every time step
with the value of safety factor given in an input file.
6. Variable flow conditions at river mouth
• Input flow conditions are given at every SedFlux time step
• When hyperpycnal condition lasts multiple time steps, a single hyperpycnal flow occurs with is generated from combined input data.
Earth-surface Dynamic Modeling & Model Coupling, 2009
Equations for rate of deposition
1. Removal rate, Fdeposition = C H dt
2. Settling velocity, ws
Fdeposition = Cb ws dt (Cb =2.0 C)
3. Flow capacity, z
Fdeposition = ws dt ( C H - z) /H
Fdeposition = Cb ws dt (1-/c)
Steady rate of deposition regardless of flow conditions
Critical shear stress c is not reliable
Earth-surface Dynamic Modeling & Model Coupling, 2009
Flow capacity, z
(Hiscott, 1994)
€
C
Cb
=H1 − y
y
H0
H1 − H0
⎛
⎝ ⎜
⎞
⎠ ⎟
Z
€
Z = U* / κβws( )
Steady state profile of suspended sediment
Amount of suspended sediments that a flow can sustain
The excess amount of suspension start depositing when the total amount of suspended sediments exceeds the capacity.
€
Y = y /H1, a = H0 /H1
€
Cb = 2.0 C, a = 0.05€
z = CdyH 0
H1∫ = CbH11−Y
Y
a
1− a
⎛
⎝ ⎜
⎞
⎠ ⎟Z
dYa
1∫
€
z ≈ CbH1 exp − 0.124 log2 Z +1.2( )4
( )
Critical flow velocity
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Z ≅ 0.20 ⇒ U =198ws
Earth-surface Dynamic Modeling & Model Coupling, 2009
Experimental Results
0.6, 0.9, 1.2 m from the source0.3 m < thickness < 0.5 m
2.4, 3.0, 3.3, 3.6 m from the source thickness < 0.2 m
input
Earth-surface Dynamic Modeling & Model Coupling, 2009
Jurassic Tank SedFluxContinuous flow
Large pulse
Small pulses
Earth-surface Dynamic Modeling & Model Coupling, 2009
Multiple basins --- of the scale of Texas-Louisiana slope
Earth-surface Dynamic Modeling & Model Coupling, 2009
deeptow.tamu.edu/gomSlope/GOMslopeP.htm
70 cm/s
Imran & Syvitski, 2000, Oceanography
Lee, Syvitski, Parker, et al. 2002, Marine Geol.
A 2D SWE model application to the Eel River flood
Earth-surface Dynamic Modeling & Model Coupling, 2009
A 1D integral Eulerian model application to flows across the Eel margin sediment waves
Khan, Imran, Syvitski, 2005, Marine Geology
FLUENT-modified FVM-CFD application
Berndt et al. 2006
Earth-surface Dynamic Modeling & Model Coupling, 2009
1) Examine possible elliptical failure planes2) Calculate sedimentation rate (m) at each cell3) Calculate excess pore pressure ui
Gibson ui = ’zi A-1
where A = 6.4(1-T/16)17+1T ≈ m2t/Cv
and Cv = consolidation coefficient
or use dynamic consolidation theory
SEDIMENT FAILURE MODEL
Earth-surface Dynamic Modeling & Model Coupling, 2009
F
€
ui =1− c1e−c 2Tv
4) Determine earthquake load (horizontal and vertical acceleration)5) Calculate JANBU Factor of Safety, F: ratio of resisting forces (cohesion and
friction) to driving forces (sediment weight, earthquake acceleration, excess pore pressure)
SEDIMENT FAILURE MODEL
Earth-surface Dynamic Modeling & Model Coupling, 2009
JANBU METHOD OF SLICES
€
FT =
i=0
n∑ bi ci +
Wvi
bi−ui
⎛
⎝ ⎜ ⎜
⎞
⎠ ⎟ ⎟ tanφi
⎛
⎝ ⎜ ⎜
⎞
⎠ ⎟ ⎟
secαi
1+tanαi tanφi
FT
⎡
⎣
⎢ ⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥ ⎥
Wvisinαi + Whi
cosαii=0
n∑
i=0
n∑
Where FT = factor of safety for entire sediment volume (with iterative convergence to a solution); bi=width of ith slice; ci=sediment cohesion; = friction angle; Wvi=vertical weight of column = M(g+ae); =slope of failure plane; Whi=horizontal pull on column = Mae; g=gravity due to gravity; ae =acceleration due to earthquake; M =mass of sediment column, ui= pore pressure.
6) Calculate the volume & properties of the failure: in SedFlux the width of the failure is scaled to be 0.25 times the length of the failure
7) Determine properties of the failed material and decide whether material moves as a debris flow or turbidity current
Sediment Gravity Flow DeciderDebris Flow or Turbidity Current?
• Properties of a failed mass determine the gravity flow dynamics.
• If failed material is clayey (e.g. > 10% clay), then the failed mass is transported as a debris flow. Clay content is a proxy for ensuring low hydraulic conductivity and low permeability and thus the generation of a debris flow with viscoplastic (Bingham) rheology.
• If the material is sandy, or silty with little clay (e.g.< 10% clay) then the failed sediment mass is transported down-slope as a turbidity current, where flow accelerations may cause seafloor erosion and this entrained sediment may increase the clay content of the flow compared to the initial failed sediment mass. Deposition of sand and silt along the flow path may result in the turbidity current transporting primarily clay in the distal reaches along the flow path.
Earth-surface Dynamic Modeling & Model Coupling, 2009
Governing equations of the Lagrangian form of the depth-averaged debris flow equations:
h=height; U=layer-averaged velocity; g is gravity; S is slope; w is density of ocean water; m is density of mud flow; m is yield strength, and m is kinematic viscosity.
Continuity
Momentum (shear (s) layer)
Momentum (plug flow (p) layer)
height of flow (1a) is inversely proportional to its velocity (1b).
Momentum (a) is balanced by weight of the flow scaled by seafloor slope (b); fluid pressure forces produced by variations in flow height (2c); and
frictional forces (d).
€
∂h
∂t(a ){
+∂
∂xU php +
2
3U phs
⎡ ⎣ ⎢
⎤ ⎦ ⎥
(b )1 2 4 4 4 3 4 4 4
= 0
€
23
∂
∂tU phs( ) −U p
∂hs
∂t+ 8
15
∂
∂xU p
2hs( ) − 23 U p
∂
∂xU phs( )
(a )1 2 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4
=
hsg 1−ρ w
ρ m
⎛
⎝ ⎜
⎞
⎠ ⎟S
(b )1 2 4 4 3 4 4
− hsg 1−ρ w
ρ m
⎛
⎝ ⎜
⎞
⎠ ⎟∂h
∂x(c )
1 2 4 4 3 4 4 − 2
μmU p
ρ mhs
⎛
⎝ ⎜
⎞
⎠ ⎟
(d )1 2 4 3 4
€
∂∂t
U php( ) +∂
∂xU p
2hp( ) + U p
∂hs
∂t+ 2
3 U p
∂
∂xU phs( )
(a )1 2 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4
=
hpg∂
∂x1−
ρ w
ρ m
⎛
⎝ ⎜
⎞
⎠ ⎟S
(b )1 2 4 4 3 4 4
− hpg 1−ρ w
ρ m
⎛
⎝ ⎜
⎞
⎠ ⎟∂h
∂x(c )
1 2 4 4 3 4 4 −
τ m
ρ w
(d ){
Earth-surface Dynamic Modeling & Model Coupling, 2009
Given these governing equations for a debris flow, the dynamics do not allow the seafloor to be eroded. Thus the grain size of the final deposit is equal to the homogenized grain size of the initial failed sediment mass.
Shear strength Runout
Viscosity Runout
Earth-surface Dynamic Modeling & Model Coupling, 2009
“Global” Sediment Properties
• Coefficient of consolidation• Cohesion• Friction angle • Shear strength• Sediment viscosity
Failure
Debris flow
“Local” Sediment Properties relationships on a cell by cell basis
( )φσ ,,cc =Cohesion
σ load, friction angle,
shear strength, e void ratio,
PI plasticity index, D grain size
r relative density
( )eηη =Viscosity
( )PI,σττ =Shear strength
€
φ=φ D,ρr( )Friction angle
Earth-surface Dynamic Modeling & Model Coupling, 2009
Four layer-averaged turbidity current conservation equations in Lagrangian form
∂h∂t
+∂Uh∂x
(a)1 2 4 3 4
=ewU(b){
∂Ch∂t
+∂UCh∂x
(a)1 2 4 4 3 4 4
=Ws(Es −roC)(b)
1 2 4 3 4
∂Uh∂t
+∂U 2h∂x
(a )1 2 4 4 3 4 4
=RgChS(b)
1 2 3 −12 Rg
∂Ch2
∂x(c)
1 2 4 3 4 −u*
2
(d){
∂Kh
∂t+
∂UKh
∂x(a)
1 2 4 4 3 4 4 = u*
2U + 1
2U 3ew
(b)1 2 4 4 3 4 4
− ε oh(c )
{ − RgWs Ch(d)
1 2 4 3 4 − 1
2RgChUew
(e )1 2 4 3 4
− 1
2RghWs (Es − roC)
( f )1 2 4 4 4 3 4 4 4
Momentum = Gravity - Pressure - Friction
Turbulent kinetic energy
Sediment continuity Exner Equation
Fluid continuity (with entrainment)
Dissipat. viscosity
Resusp. Energy
Entrainment Energy
Bed Erosion Energy
Energy
Earth-surface Dynamic Modeling & Model Coupling, 2009
Earth-surface Dynamic Modeling & Model Coupling, 2009
Chris Reed, URS
Pratson et al, 2001 C&G
Earth-surface Dynamic Modeling & Model Coupling, 2009
3-Equation Model 4-Equation Model
height
velocity
concentration
Earth-surface Dynamic Modeling & Model Coupling, 2009
Turbidity current on a fjord bottom (Hay, 1987)
High superelevation of flow thickness
Significant levee asymmetry
Very mild lateral topography
Earth-surface Dynamic Modeling & Model Coupling, 2009
Application of Fluent 2D FVM –CFD model to modeling a turbidity current on a meandering bed (Kassem & Imran, 2004)
Lateral flow field in a straight unconfined section.
Density field at a bend in a unconfined section
Earth-surface Dynamic Modeling & Model Coupling, 2009
Very weak circulation cell
Flow field at a bend in a unconfined section
Kassem & Imran, 2004
Earth-surface Dynamic Modeling & Model Coupling, 2009
Density Currents, Sediment Failure & Gravity Flows Summary
Density Currents: may interact with seafloor: RANS?
Hyperpycnal Flow Models: 3eqn 1Dx & 2Dxy Lagrangian SWE; 3D FVM
Sediment Failure Model: Janbu MofS FofS model + excess pore pressure model + material property model
Gravity Flow Decider: material property model
Debris Flow Model: Bingham, Herschel-Buckley, Bilinear rheologies; 1Dx 2-layer Lagrangian
Turbidity Current Models: 3eqn & 4eqn 1Dx SWE; 3D FVM CFD
(as a test try to translate this slide)