Use of e of STAR-CCM+ CM+ in in M Marin ine an e and d - - PowerPoint PPT Presentation

use of e of star ccm cm in in m marin ine an e and d
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Use of e of STAR-CCM+ CM+ in in M Marin ine an e and d - - PowerPoint PPT Presentation

Milovan Peri CD-adapco Use of e of STAR-CCM+ CM+ in in M Marin ine an e and d Offshore fshore Engi ginee eerin ing g and F d Future re Tren ends ds Introdu oduction ction CD-adapco is developing simulation capabilities in


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SLIDE 1

Milovan Perić CD-adapco

Use of e of STAR-CCM+ CM+ in in M Marin ine an e and d Offshore fshore Engi ginee eerin ing g and F d Future re Tren ends ds

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CD-adapco is developing simulation capabilities in STAR-CCM+ specifically for marine and offshore applications:

– Wave models – Motion models – Fluid-structure interaction, etc…

This is happening in collaboration with software users in industry, research institutions and classification societies. The aim of this presentation is to show:

– Examples of application of STAR-CCM+ in marine and offshore engineering by our customers, – Trends for future development in this field.

Introdu

  • duction

ction

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SLIDE 3

All major shipyards in Korea use STAR-CCM+. One of the main topics is the automation of the simulation process:

– With previous tools, customers were able to generate 2 meshes per day; – With automated STAR-CCM+ process, they can prepare15 simulations per day (few minutes for Excel data entry, 20 min. mesh generation)…

The automation is based on Java macros and Excel sheets. Two templates (developed by CD-adapco Korea) are typically used:

– High Froude number (container ships) – Low Froude number (tankers)

Advantages of automation:

– Faster process; – Results less dependent on the user (probability for errors reduced).

Exam ample ple 1: Korean ean Shipyar ards ds, , I

Best practices captured – optimal results with minimum effort!

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Exam ample ple 1: Korean ean Shipyar ards ds, , II

Automatic refinement for free surface Automatic refinement for hull vicinity Automatic refinement for generated waves Automatic refinement for geometry details

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Exam ample ple 2: Self lf-Prop

  • pulsi

ulsion n Test st, , I

Study by CD-adapco Korea: KRISO container ship + rotating propeller, prediction of self-propulsion point…

Trimmed grid around hull, with local refinements Polyhedral grid around propeller, sliding cylindrical interface

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Exam ample ple 2: Self lf-Prop

  • pulsi

ulsion n Test st, , II

Comparison of measured (left, B/W) and predicted (right, color) streamwise velocity contours in the plane x/LPP = 0.9911

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Exam ample ple 2: Self lf-Prop

  • pulsi

ulsion n Test st, , III

Comparison of measured and predicted resistance, thrust and torque: a reasonably good agreement is obtained…

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Exam ample ple 3: Virtual tual Towing ng Tank, , I

A validation study at Brodarski Institut, Zagreb, Croatia

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Exam ample ple 3: Virtual tual Towing ng Tank, , II

A very good agreement between experiment and simulation is

  • btained.

Such studies were performed for

  • ther hulls as well, with a similar

success.

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Exam ample ple 4: Scale le Effects cts

At Brodarski Institut, scale effects for pod- drives were investigated by comparing simulations at model and full scale. Model scale simulations are validated against experimental data.

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Exam ample ple 5: Lifeb eboat at Water er Entr try, , I

H = 33 m H = 43 m

An analysis of collapse

  • f air bubble on aft

bulkhead of lifeboats was performed; the results were very close to full-scale tests (3-4%) for two drop heights. Air compressibility was very important…

Analysis by

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Exam ample ple 6: Oil Collect lector

  • r,

, I

The objective of this project was to find

  • ut how much oil is collected and goes

through the pump in the original design, and then to optimize the design with respect to collecting capability.

Simulation by for

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Exam ample ple 6: Oil Collect lector

  • r,

, II

The final design that was built and used has been substantially modified relative to the original design – based on simulation results. The collection efficiency has been substantially improved through simulation…

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Exam ample ple 7: Wave Impact, ct, I

Simulation of wave impact onto a platform in shallow water by DNV (will be presented at OMAE- conference 2012).

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Exam ample ple 7: Wave Impact, ct, II II

Wave impact on an oil platform: Coupled simulation of flow using STAR-CCM+ and deformation of platform structure using ABAQUS.

Simulation by CD-adapco Engineering Services for Chevron.

Evidence of damage on a platform after it was hit by a hurricane Deformation in a simulation: good agreement with field

  • bservation…
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SLIDE 16

Problems with ballast water:

– Sediment (reduces payload, restricts water flow and delays de-ballasting, leads to increased fuel consumption due to extra weight)… – High cost if de-ballasting cannot be completed during time slot at terminal (less cargo can be loaded, vessel blacklisted at terminal…)

Exam ample ple 8: Ballas last t Water er Handling dling

Simulations performed by Germanischer Lloyd

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Leakage assumed to be a small opening in the wall of a high-pressure gas container. Expansion to atmospheric pressure results in a high Mach number jet flow, forming a barrel shock and Mach disk…

Exam ample ple 9: Gas Disper persion sion due to Leakage, age, I

Konturplot von Machzahl- (links) und Temperatur- (rechts) verteilungen für Naturgas Leckströmung durch eine runde Lecköffnung in einer 30 Bar-Rohr

Simulations performed by Germanischer Lloyd

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Objecti ective: e: Assessment of risk resulting from natural gas leakage in a closed space housing a compressor and a turbine. The aim was to determine areas with dangerous accumulation of air-gas mixture…

Exam ample ple 9: Gas Disper persion sion due to Leakage, age, II

Low Velocity Areas Areas above 50% LE L Areas above 100% LE L C

  • ld Surfaces

Hot Surfaces

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Exam ample ple 10: Roll l Damping ping

Research Project „Best Roll Damping“

University of Duisburg/Essen TU Hamburg- Harburg Modern ship hulls form with different bilge keels 3 years research project to reduce roll motion Simulations performed by two universities and Germanischer Lloyd using STAR-CCM+ Experiments by SVA Potsdam

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Exam ample ple 11: Erosion

  • sion by

by Cavit itat ation ion, , I

Simulation by Water flow at 35 m/s 3° angle of attack 75 hours duration of experiment Simulation (DES) over several periods of shedding Evaluation of „Erosive Potential“ Good agreement with experiment Experiment Simulation

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Exam ample ple 11: Erosion

  • sion by

by Cavit itat ation ion, , II II

Damage to rudder due to erosion CFD prediction based on two fixed rudder positions (±4 deg). One needs to perform simulations at different operating conditions to produce an estimate of cavitation erosion probability…

Simulation by

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SLIDE 22

Exam ample ple 12: Ship-Ic Ice Interaction eraction

Analysis of interaction between ice pieces and structures using DEM in STAR-CCM+ and co-simulation with ABAQUS Objective: Assessment of risk of damage caused by impact of ice pieces on sensitive parts of structure (like propeller blades, rudder etc.).

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Exam ample ple 13: Ship ip Launchin ching

Analysis of side-launching:

  • Load on structure
  • Ship motion

Simulation by

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Exhaust dispertion Fire simulation Simulation of lowering of subsea equipment (which wave conditions are allowable) Simulation of installation of offshore equipment (wind turbines, jack-up platforms etc.) Vortex-induced motion Simulation of drill ship stability (how to increase the operating window) Optimization of vessel shape (coupled with FriendshipFramework) Wake assessment Shaft bending moments Wind drag Wave-added resistance … etc.

Other er Applic licat ations ns

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Superposition of motions Overset grids Multi-component VOF with phase change at free surface

Recent ntly ly Released leased New Features tures

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Several new features which were requested by users will be implemented in STAR-CCM+ and become available in future releases:

– Additional motion models (prescribed motion and additional DOF) – Beam models for simplified treatment of ship deformation in FSI – Automatic set-up of standard virtual tests (PMM, zig-zag, circle…) – Automatic local mesh refinement and coarsening (controlled by overset grid motion or flow features) – Hydro-acoustics and vibro-acoustics – Coupling to potential flow models for wave propagation over long distance – … and many other improvements in collaboration with customers and research institutions.

Future ure Develo lopm pment nts