A Zonal CFD Approach for Fully Nonlinear Simulation of Two ... · WP1: Multiphase modelling with...

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A Zonal CFD Approach for Fully Nonlinear Simulation of Two vessels in Launch and Recovery Operations WP1: Multiphase modelling with overset mesh Zhihua Ma, Pedro Martínez Ferrer, Ling Qian, Derek Causon and Clive Mingham Centre for Mathematical Modelling and Flow Analysis The Manchester Metropolitan University Project meeting at City University London, 26 January 2017

Transcript of A Zonal CFD Approach for Fully Nonlinear Simulation of Two ... · WP1: Multiphase modelling with...

Page 1: A Zonal CFD Approach for Fully Nonlinear Simulation of Two ... · WP1: Multiphase modelling with overset mesh ZhihuaMa,PedroMartínezFerrer,LingQian, DerekCausonandCliveMingham Centre

A Zonal CFD Approach for Fully Nonlinear Simulationof Two vessels in Launch and Recovery Operations

WP1: Multiphase modelling with overset mesh

Zhihua Ma, Pedro Martínez Ferrer, Ling Qian,Derek Causon and Clive Mingham

Centre for Mathematical Modelling and Flow AnalysisThe Manchester Metropolitan University

Project meeting at City University London, 26 January 2017

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Outline

1 Background

2 Overset mesh CFD solver

3 Fluid-structure interaction

4 Conclusions

5 Backup

Ma et al. (MMU) ZonalCFD-WP1 26 January 2017 2 / 21

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Background

Launch and Recovery Operations

Rescue and recovery

Challenges

High sea statesModelling tool

accuratefast

Risk predictioncollisionunacceptablemotions

Testingnew concept andsystem

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Background

Zonal approach for Launch and Recovery

7

e of this research and following industrial partners’ suggestions, the new tool will

odel. However, the velocity potential needed for the QALE-FEM will velocity he multi-s zero in non-zero d so the ocity and on differ- region. ues will ored to ing be- in the

, QALE-e steps o max- e NS

NS

FNPT

Larger vessel

Smaller vessel

Inner domain

Outer domain

Meshes for larger and small vessels are generated independently thenassembled together. The small mesh surrounding the small vessel moveswith the vessel (6DoF), the big mesh could move with the large vesselor stay stationary.

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Overset mesh CFD solver Code development

ogFoam: overset-grid OpenFoam multiphase flow solver

Mesh generation1 Generate a background mesh for the whole domain.2 Generate body-fitted meshes for all the structures.3 Assemble all the meshes.

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Overset mesh CFD solver Code development

ogFoam: overset grid OpenFoam multiphase flow solver

Component grids aregenerated in a (virtually)independent mannerHole cutting: blank out themesh cells out of flowdomain.DCI: domain connectivityinformationInterpolation: exchangeinformation betweenmeshes through fringe cells.

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Overset mesh CFD solver Verification

y

z

α

β

θβ

Figure 1: A sketch of a 2D wedge. α is the deadrise angle, θ is the titlingangle. α+ β = 90o.

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Overset mesh CFD solver Verification

Wedge: α = 30o, θ = 0o, v = 1m/s

0

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Figure 2: Comparison of the numerical, similarity and analytic solutions (Zhaoand Faltinsen, 1993). Left: Pressure coefficient; Right: Free surface profiles.

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Overset mesh CFD solver Verification

Wedge: α = 45o, θ = 0o, v = 1m/s

0

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similarityanalytical

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Figure 3: Comparison of the numerical, similarity and analytic solutions (Zhaoand Faltinsen, 1993). Left: Pressure coefficient; Right: Free surface profiles.

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Overset mesh CFD solver Verification

ISOPE 2016 benchmark test

Test α(o) θ(o) Drop height h (m)I 30 0 0.5II 30 10 0.5III 20 0 0.25

Test-I Test-II Test-III

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Overset mesh CFD solver Verification

ISOPE benchmark: α = 30o, θ = 0o, h = 0.5m

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Figure 4: Measured and computed (ogFoam) results. Mesh A has 40000(background) and 4200 (near-body) cells. It is then refined in horizontal andvertical directions sequentially for mesh B and C.

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Overset mesh CFD solver Verification

ISOPE benchmark: α = 30o, θ = 10o, h = 0.5m

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Figure 5: Measured and computed (ogFoam) results. Mesh A has 40000(background) and 4200 (near-body) cells. It is then refined in horizontal andvertical directions sequentially for mesh B and C.

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Overset mesh CFD solver Verification

ISOPE benchmark: α = 20o, θ = 10o, h = 0.25m

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Figure 6: Measured and computed (ogFoam) results. Mesh A has 40000(background) and 4200 (near-body) cells. It is then refined in horizontal andvertical directions sequentially for mesh B and C.

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Fluid-structure interaction Flexible plate

FSI integration in wsiFoam

Elastic plate, Liao et al. (2015): H0 = 0.4m.Ma et al. (MMU) ZonalCFD-WP1 26 January 2017 14 / 21

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Fluid-structure interaction Flexible plate

FSI integration in wsiFoam

t = 0.27 s t = 0.42 s

t = 0.32 s t = 0.47 s

t = 0.37 s t = 0.52 s

Figure 7: Experiment (Liao et al., 2015) vs. simulation.

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Fluid-structure interaction Flexible wedge

FSI integration in wsiFoam

Elastic wedge, Lu et al. (2000).Ma et al. (MMU) ZonalCFD-WP1 26 January 2017 16 / 21

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Fluid-structure interaction 3D ship

3D ship hull geometry

Figure 8: Geometry (left) and mesh (right) for the ship hull (Azcueta etal., 2001). The mesh is generated with Gmsh and converted to OpenFOAMmesh.

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Fluid-structure interaction 3D ship

3D ship hull

Fine mesh.Ma et al. (MMU) ZonalCFD-WP1 26 January 2017 18 / 21

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Fluid-structure interaction 3D ship

3D ship hully

[m]

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x [m]

Figure 9: Averaged ship hull free surface elevation.

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Conclusions

Conclusions

An overset mesh based multiphase flow solver has been developedunder the framework of wsiFoam. The developed code has beentested by wedge slamming problems for fixed velocity and free fallconditions. The numerical solutions have been verified againstsimilarity, analytic and experimental results.A fluid-structure interaction solver has been developed under theframework of wsiFoam. The code has been tested by dambreakagainst a flexible plate and flexible wedge slamming problems.Qualitative comparison with experimental results demonstrates thecapability of the developed code.Next step’s work is to merge the overset code with the FSI codeand to parallelise it for 3D applications. The flume tests of the lifeboat models proposed by Plymouth will be reproduced numericallyto further validate the multiphase flow solvers in OpenFoam.

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Conclusions

ReferencesR. Azcueta. Computation of turbulent free-surface flows around ships and floating bodies. ShipTechnology Research, 49(2):46–69, 2002.

S.-L. Chuang. Investigation of impact of rigid and elastic bodies with water. Technical Report No.NSRDC-3248, Department of the Navy, Washington, D. C. 20007, Februray 1970.

O. Faltinsen. Hydroelastic slamming. J. Mar. Sci. Technol., 5(2):49–65, 2000.

G. K. Kapsenberg. Slamming of ships: where are we now? Phil. Trans. R. Soc. A, 369(1947):2892–2919, Jun 2011.

K. Liao, C. Hu, and M. Sueyoshi. Free surface flow impacting on an elastic structure: Experimentversus numerical simulation. Applied Ocean Research, 50:192 – 208, 2015.

C. Lu, Y. He, and G. Wu. Coupled analysis of nonlinear interaction between fluid and structureduring impact. Journal of Fluids and Structures, 14(1):127 – 146, 2000.

Z. Ma, D. M. Causon, L. Qian, C. G. Mingham, T. Mai, D. Greaves, and A. Raby. Pure and aeratedwater entry of a flat plate. Physics of Fluids, 28:016104, 2016.

P. Martínez Ferrer, D. Causon, L. Qian, C. Mingham, and Z. Ma. A multi-region coupling schemefor compressible and incompressible flow solvers for two-phase flow in a numerical wave tank.Computers & Fluids, 125:116–129, Feb 2016.

L. Qian, D. M. Causon, C. G. Mingham, and D. M. Ingram. A free-surface capturing method fortwo fluid flows with moving bodies. Proc. R. Soc. Lond. A, 462:21–42, 2006.

R. Zhao and O. M. Faltinsen. Water entry of two-dimensional bodies. J. Fluid Mech., 246:593–612,1993.

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Backup

Backup slides

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Backup

wsiFoam

Multi-region wave-structure interaction (WSI) simulation environment.Martínez Ferrer et al. A multi-region coupling scheme for compressibleand incompressible flow solvers for two-phase flow in a numerical wavetank. Computers and Fluids, 2016 (125): 116–129.

Martínez Ferrer et al. Improved numerical wave generation for modellingocean and coastal engineering problems. Submitted to Ocean Engineering.

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Backup

Overset mesh method

Start: Late 1970s and 1980s, Joseph Steger, NASA AMES

Steger JL, Dougherty FC, Benek JA. A Chimera grid scheme.In: Ghia KN, Ghia U, editors. Advances in grid generation.ASME FED-Vol. 5, 1983.

Original concepts of OGMTo model multi-component systems where an optimum body-fittedgrid is used for each component

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Backup

Wedge: α = 30o, θ = 0o, v = 1m/s

Mesh, free surface and pressure for wedge with 30o deadrise angle.

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Backup

Wedge: α = 45o, θ = 0o, v = 1m/s

Mesh, free surface and pressure for wedge with 45o deadrise angle.

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Backup

ISOPE 2016 benchmark test

3

� 2D wedge model- Dead-rise angle = 20 & 30deg

- L = 600mm, B = 800mm

Sensor TypeMaximum

rangeDimension

Naturalfrequency

Forcesensor 1

Strain gauge(KISTLER 4576A)

5.0 kN 54.0mm dia. 5 kHz

Forcesensor 2

Strain gauge(CURIOTEC)

0.2 kN15 x 10 x 25 mm

(LxBxH)Ignorable

Pressuresensor

Piezoresistive(KISTLER 4005B)

5.0 bar 5.5 mm dia.More than100 kHz

� Force and Pressure SensorsWedge Model (30deg)

Force sensor 2Force sensor 1

Pressure sensor

- Pressure : 20kHz sampling - Force : 2kHz sampling

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Backup

2D wedge models

4

600mm

Force sensor 2

Force sensor 1

25mm

50mm

50mm

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50mm

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800mm

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Positive tilting angle10 & 20 degs

Negative tilting angle-10 & -20 degs

Pressure sensor 1

Pressure sensor 2

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Backup

2D wedge models

Test Dead-rise angle (deg) Tilting angle (deg) Drop height (m)

01-1, 01-2 30 0 0.5

03-1, 03-2 30 10 0.5

05-1, 05-2 30 20 0.5

08-1, 08-2 20 0 0.25

* 2 times repeated for each test

8

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Backup

Wedge with α = 37o, θ = 0o, v = 1 m/s, w = −1 m/s

Snapshots of the free surface. Left: present numerical solution; Middle:numerical computation of Gu et al. (2014); Right: experimental resultof Judge et al. (2004).

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Backup

Wedge with α = 37o, θ = −5o, v = 2 m/s, w = −1 m/s

Snapshots of the free surface. Left: present numerical solution; Middle:numerical computation of Gu et al. (2014); Right: experimental resultof Judge et al. (2004).

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Backup

Wedge with α = 37o, θ = −5o, v = 1 m/s, w = −1 m/s

Snapshots of the pressure distribution. Left: present numericalsolution; Right: numerical computation of Gu et al. (2014);

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