Material Point Method Simulations of Fragmenting Cylinders

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Material Point Method Simulations of Fragmenting Cylinders. Biswajit Banerjee Department of Mechanical Engineering University of Utah 17th ASCE Engineering Mechanics Conference, 2004. Outline. Scenario Material Point Method (MPM) Approach Validation Simulations of fragmentation. - PowerPoint PPT Presentation

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Material Point Method Simulations of Fragmenting Cylinders

Biswajit BanerjeeDepartment of Mechanical Engineering

University of Utah

17th ASCE Engineering Mechanics Conference, 2004

Outline

• Scenario

• Material Point Method (MPM)

• Approach

• Validation

• Simulations of fragmentation

Scenario

What happens to the container ?

Simulation Requirements

• Fire-container interaction

• Large deformations

• Strain-rate/temperature dependence

• Failure due to void growth/shear bands

The Material Point Method (MPM)(Sulsky et al.,1994)

Why MPM ?

• Tightly-coupled fluid-structure interaction.

• No mesh entanglement.• Convenient contact

framework.• Mesh generation trivial.• Easily parallelized.• No tensile instabilities.

• First-order accuracy.• High particle density for

tension dominated problems.

• Computationally more expensive than FEM.

Advantages Disadvantages

Stress update

• Hypoelastic-plastic material• Corotational formulation (Maudlin & Schiferl,1996)

• Semi-implicit (Nemat-Nasser & Chung, 1992)

• Stress tensor split into isotropic/deviatoric

• Radial return plasticity

• State dependent elastic moduli, melting temperature

Plasticity modeling

• Isotropic stress using Mie-Gruneisen Equation of State.

• Deviatoric stress :• Flow stress : Johnson-Cook, Mechanical Threshold

Stress, Steinberg-Cochran-Guinan• Yield function : von Mises, Gurson-Tvergaard-

Needleman, Rousselier

• Temperature rise due to plastic dissipation• Associated flow rule

Damage/Failure modeling

• Damage models:• Void nucleation/growth (strain-based)• Porosity evolution (strain-based)• Scalar damage evolution: Johnson-Cook/Hancock-

MacKenzie

• Failure• Melt temperature exceeded• Modified TEPLA model (Addessio and Johnson, 1988)

• Drucker stability postulate• Loss of hyperbolicity (Acoustic tensor)

Fracture Simulation

• Particle mass is removed.

• Particle stress is set to zero.

• Particle converted into a new material that interacts with the rest of the body via contact.

Validation: Plasticity Models

6061-T6 Aluminum EFC Copper

JC MTS SCG JC MTS SCG

635 K 194 m/s

655 K 354 m/s

718 K 188 m/s

727 K 211 m/s

Validation: Mesh dependence

OFHC Copper298 K 177 m/sMTS

6061-T6 Al655 K 354 m/sJC

1,200,000 cells151,000 cells18,900 cells

735,000 cells91,800 cells11,500 cells

Validation: Penetration/Failure

Validation: Penetration/Failure

160,000 cells 1,280,000 cells

Validation: Erosion Algorithm

Validation: Impact

Validation: Impact Results

Validation: 2D Fragmentation

Validation: 2D Fragmentation

Gurson-Tvergaard-Needleman yield, Drucker stability, Acoustic tensor, Gaussian porosity, fragments match Grady equation, gases with ICE-CFD code.

JC (steel), ViscoScram (PBX 9501)

MTS (steel), ViscoScram (PBX 9501)

Simulations: 3D Fragmentation

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Simulation: Container in Fire

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Questions ?

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