Transient behaviour of a suction caisson in sand: axisymmetric numerical modelling
- B. Cerfontaine, F. Collin and R. Charlier
University of Liege, Belgium
26th of May, 2016
- B. Cerfontaine, F. Collin and R. Charlier
RUGC2016 26/05/16 0 / 24
Transient behaviour of a suction caisson in sand: axisymmetric - - PowerPoint PPT Presentation
Transient behaviour of a suction caisson in sand: axisymmetric numerical modelling B. Cerfontaine, F. Collin and R. Charlier University of Liege, Belgium 26th of May, 2016 B. Cerfontaine, F. Collin and R. Charlier RUGC2016 26/05/16 0 / 24
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Context
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Context
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Context
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Context
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Context
Pumping Water flows Decreasing inside pressure
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Description of the case study
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Description of the case study
Waves + Wind
Lid Elastic superficial layer Inner interface (top) Outer interface (skirt) Inner interface (skirt) Skirt Elastic toe Height (H) Radius (D/2)
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Description of the case study
Waves + Wind
Initial stress (interface) Height (H) Radius (D/2) Loading Initial stress (soil)
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Description of the case study
Waves + Wind
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Description of the case study
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Description of the case study
PT line Current stress state Trace of current yield surface
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Description of the case study
10 20 30 40 50 60 70 80 −20 −10 10 20 30 40 50 60 70
10 20 30 40 50 60 70 80 −20 −10 10 20 30 40 50 60 70
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Description of the case study
f>0 f<0 f=0 Elastic domain Plastic surface No contact µ
N
Side 2 Side 1 Inside
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Results Reaction modes
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Results Reaction modes
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Results Monotonic simulations
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Results Monotonic simulations
−3 −2.5 −2 −1.5 −1 −0.5 −3 −2.5 −2 −1.5 −1 −0.5
∆Ftot ∆Fin ∆Fout ∆Flid ∆Ftip Upwards
−3 −2.5 −2 −1.5 −1 −0.5 −3 −2.5 −2 −1.5 −1 −0.5
∆y [mm] ∆F [MN]
∆Ftot ∆Fin ∆Fout ∆Flid ∆Ftip ∆Fpw Upwards
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Results Monotonic simulations
Δpw [kPa] Pload = 55.5kPa
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Results Cyclic simulations
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Results Cyclic simulations
0.8 0.85 0.9 0.95 1 −10 10 20 30 40 50 60 70
Time[h] P
load [kPa]
Extreme event
0.5 1 1.5 2 −0.8 −0.6 −0.4 −0.2 0.2 0.4 0.6 0.8 1
Time [h] Fy/max(|Fy|) [−]
Extreme event Short Signal
ΔPload=45kPa Pload,av=20kPa
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Results Cyclic simulations
0.8 0.85 0.9 0.95 1 −10 10 20 30 40 50 60 70
Time[h] P
load [kPa]
Extreme event
0.5 1 1.5 2 −0.8 −0.6 −0.4 −0.2 0.2 0.4 0.6 0.8 1
Time [h] Fy/max(|Fy|) [−]
Extreme event Short Signal
ΔPload=45kPa Pload,av=20kPa
Time Time Pload,mean Pseudo-Random Equivalent
ΔT1
ΔP1 ΔP2 ΔP3 ΔP1 ΔP2 ΔP3
ΔT1
Pload Pload,mean Pload
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Results Cyclic simulations
0.8 0.85 0.9 0.95 1 −10 10 20 30 40 50 60 70
Time[h] P
load [kPa]
Extreme event
0.5 1 1.5 2 −0.8 −0.6 −0.4 −0.2 0.2 0.4 0.6 0.8 1
Time [h] Fy/max(|Fy|) [−]
Extreme event Short Signal
ΔPload=45kPa Pload,av=20kPa Batch 1 Batch 2 Batch 3 Batch 4
50 28 4 1 T [s] 4.6 11 11.6 11.1 ∆P [kPa] 4.5 13.5 22.5 40.5
Time Time Pload,mean Pseudo-Random Equivalent
ΔT1
ΔP1 ΔP2 ΔP3 ΔP1 ΔP2 ΔP3
ΔT1
Pload Pload,mean Pload
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Results Cyclic simulations
100 200 300 400 500 600
20 40 60 80
Pload [kPa] Pload [kPa] Pseudo-random Equivalent 1 Equivalent 2 Equivalent 3 Time [s] Time [s] Time [s] Time [s] Pload [kPa] Pload [kPa]
100 200 300 400 500 600
20 40 60 80 100 200 300 400 500 600
20 40 60 80 100 200 300 400 500 600
20 40 60 80
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Results Cyclic simulations
100 200 300 400 500 600 −40 −20 20 40
Time [s] ∆p [kPa]
∆ pw ∆ ptot 100 200 300 400 500 600 −40 −20 20 40
Time [s] ∆p [kPa]
Envelope curves Tendency Envelope curves Tendency Envelope curves ∆ pw,p2p Envelope curves
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Results Cyclic simulations
200 400 600 800 1000 −1 1 2 3 4 5 6 7 8
Equiv.1 Equiv.2 Equiv.3 Random Consolidation
200 400 600 800 1000 0.5 1 1.5 2 2.5 3 3.5
Equiv.1 Equiv.2 Equiv.3 Random Consolidation Maxima
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Results Cyclic simulations
500 1000 1500 2000 0.5 1 1.5 2 2.5 3 3.5
5*10−13 5*10−12 5*10−11 5*10−10 k [m2] Consolidation End
−5 5 10 5 10 15 20 25
5*10−13 5*10−12 5*10−11 5*10−10 k [m2] A B−12 B−11 B−10 B−13 Failure PT line
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Conclusions and perspectives
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Conclusions and perspectives
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Conclusions and perspectives
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Conclusions and perspectives
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