Coastal protection Rubble mound breakwaters...
Transcript of Coastal protection Rubble mound breakwaters...
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Coastal protectionRubble mound breakwaters
Physical modelling
Dominique Mouazé[email protected], Caen
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Design flow diagram
Identify need
Existing coastal information
Problem definition Environmentalconsiderations
DesignRequirementsOptions
DataCollection
Sources of materials
Soils, geologymorphology
Wind, waves,Tide, currents
DESIGN
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Rear armortoe
UnderlayerCore
Core below water
Main armor
antiscour
Rear armortoe
UnderlayerCore
Core below water
Main armor
antiscour
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enroc hements
Port Talbot, GB
Tetrapodes
Cresc ent c ity, USA
Sines, Portugalfiltre
c ouronnement enbéton
blocs d ’Antifer
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Wave deformations
-Shoaling-Refraction-Diffraction-Reflection-Breaking-Transmission
cap baie
Ombre de la jetée
Ligne d ’ombre
vagues diffractéeshoule inc identehoule r fl chieé é
Deep water (H, T, L, c, d)
Shallow water
( )kdkgc tanh2 =
⎟⎠⎞
⎜⎝⎛=
LdgTL π
π2tanh
2
2
d < L/20
d < L/2
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Significant wave height from ‘Fetch’
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0 1 2 3 4 5 6 70
5
10
15
20
25
Nom
bre
de v
ague
s, n
Hauteur de houle, H(m)
0 1 2 3 40
2
4
6
8
Fréquencen/N
H (m)
Statistics of waves
Fréquence de houle (Hz)
dens
ité s
pect
rale
S(f)
en
ms
2.
JONSWAP
-Probability distribution P(x) :P(x) = Prob [ x(t) ≤ x ]P(x=-∞) = 0 et P(x=∞) = 1
- Q = 1 - P
Hs = 4 x (under curve area)^(1/2)
Design wave = Hs = H1/3
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Hmax (m) N P Q 1.75 1019 0.37217 0.62783 2 549 0.57268 0.42732 2.25 382 0.7122 0.2878 2.5 254 0.805 0.195 2.75 174 0.86852 0.13148 3 113 0.90979 0.09021 3.25 81 0.93937 0.06063 3.5 60 0.96129 0.03871 3.75 40 0.97589 0.02411 4 27 0.98576 0.01424 4.25 19 0.9927 0.0073 4.5 10 0.99635 0.00365 4.75 4 0.99781 0.00219 5 2 0.99854 0.00146 5.25 1 0.9989 0.0011 5.5 2 0.99963 3.65E-04 5.75 0 0.99963 3.65E-04 6 1 1 0 total 2738
‘Long term’ design
probability distribution
P(H<1.75)=1019/2738=0.37217
P(H<2)=(1019+549)/2738=0.57268
probability of a wave greater than 2m
Q(H>2)=1-P(H<2)=1-0.57268 =0.42732
1 0.1 0.01 1E-3 1E-4 1E-51
2
3
4
5
6
7
8
houl
e ce
nten
aire
houl
e an
nuel
le
houl
e dé
cenn
ale
Probabilité cumulée d'occurrence
Hmax(m)
365.n1Q =
Cumulative occurrence probability
For ten years Q=1/(365x10)=2.7.10-4
Hs = -α log(Q)
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-Significant wave heightHs
-Extreme wavesHmax
-Run-up / Run-downOvertopping
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Construction
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From the ‘earth’
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From a ‘pier’ / from the ‘sea’
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Placement (Armour layer)
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Placement (Armour layer)
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HgDF nwhoule2ρ= 3)( nwr gDBW ρρ −=− 3
nr gDW ρ=
33
3
)sincos( ααμρ
+Δ≥
gHNW r Irribaren
αρ
cot3
3
D
r
KHgW
Δ≥ Hudson
Kd Stability coefficientΔ=(ρb – ρw)/ ρw
Design formula
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Interlude
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SPM 1984
SPM 1977
Stability coefficient KD
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Natural rocks
Filter rules
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Artificial blocks (Armour layer)
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Concrete breakwater armour unit classification (1/2)
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Concrete breakwater armour unit classification (2/2)
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TETRAPODE
Artificial blocks (Armour layer)
C.
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Artificial blocks (Armour layer)
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CUBE ANTIFERArtificial blocks (Armour layer)
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DOLOS
Artificial blocks (Armour layer)
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ACCROPODE
Artificial blocks (Armour layer)
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ACCROPODE II
Artificial blocks (Armour layer)
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CORELOCX-BLOC
Artificial blocks (Armour layer)
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Stability performance
Musoir
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Overtoppingwww.overtopping-manual.com HR Wallingford
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Physical modelling
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Physical modelling
“When dealing with water, first experiment then use judgment”Leonardo da Vinci
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Physical modelling / numerical modelling
Advantages1. cost effective2. physical processes without simplification3. large number of tests with controlled parameters4. turbulence 5. advanced experimental techniques
Disadvantages1. scale effects2. laboratory effects3. missing conditions4. more expensive than numerical models
“A physical model is a physical system reproduced (reduced size) so that the major dominant forces are represented in the correct proportion”
(Hughes, 1993)
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Wave bassin (3D)
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Wave bassin (3D)
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Modèles numériquesModèle physique
4,75 m4,75 m1,9 m1,9 mDistance Distance MontMont--barragebarrage
256 m256 m22 mm41 km41 km22Surface zone Surface zone
12,5 12,5 àà 37 cm/s37 cm/s1 1 àà 3 m/s3 m/sVitesse Vitesse courantscourants
20,7 cm20,7 cm13,5 m13,5 mAmplitude Amplitude marmarééee
15 15 mnmn12h25 12h25 mnmnDurDuréée mare marééee
modmodèèlelenaturenature
Wave bassin (3D)Mobile bed
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Wave Flume (2D)
Length L = 22mWater depth d = 0.3m to 0.7mMaximum significant wave height Hs ~ 0.25m
Regular and Irregular wave generationFocused wave generationPiston type wavemaker ( Edinburgh Designs)
Dynamical wave absorptionPVC and glass flume bottomGlass walls
Wave generation area Wave field Reflection areaAbsorption area
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020
40
60
80
100
120
140
160180
200
220
240
260
280
300
320
340
V
U
r
(en degrés)θ
D
e
0,000
0,002
0,004
0,006
0,008
-0,15 -0,10 -0,05 0,00 0,05 0,10 0,15 0,20
phasesπ 3π/4 5π/8 π/2 3π/8 π/4 0
U (m/s)
z (m)
Applications (1/4)
Fluid Mechanics
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Applications (2/4)
Sediment transport / Scour
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Applications (3/4)
Fluid-Structure Interaction
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Applications (4/4)
Coastal Engineering
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Physical modelling
“Theorem 1”
If there is a discrepancy between a theory and the experiment carriedout to verify it, it is likely to be due to inaccuracies in the experiment
“Theorem 2”
It is so far difficult to make good experiments than it is to make good theorie
Similitude / Similarity
Dimensional analysisL LengthT TimeM Mass
physical process = f( L
geometric α ≠ 0 β = 0 γ = 0kinematic α ≠ 0 β ≠ 0 γ = 0dynamic α ≠ 0 β ≠ 0 γ ≠ 0
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Criteria of similitude“scale laws”
Dimensional analysis
Scale ratio NX = Xp / Xm = X in prototype / X
NL = Lp / Lm = 25m/1m =
Hydraulic similitude
Froude criterion Fr = inertial force / gravity force = U / (gL)1
Reynolds criterionRe = inertial force / visc
Shields criterion
Froude time scale
Nt = NL1/2
Real wave of 12.3s peri
Tmodel = 12.3 / (100)1/2 =
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Thank you for attention!