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Computational & Multiscale Mechanics of Materials CM3 www.ltas-cm3.ulg.ac.be A nonlocal model for ductile failure incorporating void growth and coalescence Van Dung NGUYEN (1) , Thomas Pardoen (2) , Ludovic Noels (1) [email protected] 1 University of Liège, Department of Aerospace & Mechanical Engineering, Allée de la découverte 9, 4000 Liège, Belgium 2 University of Louvain, Institute of Mechanics, Materials and Civil Engineering, Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium

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Page 1: Computational & Multiscale CM3

Computational & Multiscale

Mechanics of Materials CM3www.ltas-cm3.ulg.ac.be

A nonlocal model for ductile failure

incorporating void growth and coalescence

Van Dung NGUYEN(1), Thomas Pardoen(2), Ludovic Noels(1)

[email protected]

1University of Liège, Department of Aerospace & Mechanical Engineering, Allée de la

découverte 9, 4000 Liège, Belgium2University of Louvain, Institute of Mechanics, Materials and Civil Engineering,

Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium

Page 2: Computational & Multiscale CM3

• Ductile failure: failure mechanism

– Void nucleation (dislocation motion, particle/matrix decohesion, particle cracking, …)

– Void growth of existing voids (because of plastic incompressibility)

– Void coalescence (crack growth by shrinking of ligaments between voids)

Introduction

2

Page 3: Computational & Multiscale CM3

• Ductile failure: complex coalescence scenario

– What happens inside a « ductile » material when highly deformed ?

Introduction

3

X-ray tomography of in-situ tensile tests

= scanner for materials

Tests performed at the ESRF synchrotron

in Grenoble by F. Hannard (Ph. D. UCL)

collaboration with Dr. E. maire INSA Lyon

(Hannard et al. 2016)

Page 4: Computational & Multiscale CM3

• Ductile failure: complex coalescence scenario

– What happens inside a « ductile » material when highly deformed ?

Introduction

4

X-ray tomography of in-situ tensile tests on

an aluminium alloy

Al 6056

e = 23%

Page 5: Computational & Multiscale CM3

• Ductile failure: complex coalescence scenario

– What happens inside a « ductile » material when highly deformed ?

Introduction

5

X-ray tomography of in-situ tensile tests on

an aluminium alloy

Al 6056

e = 30%

Page 6: Computational & Multiscale CM3

• Ductile failure: complex coalescence scenario

– What happens inside a « ductile » material when highly deformed ?

Introduction

6

X-ray tomography of in-situ tensile tests on

an aluminium alloy

Al 6056

e = 38%

Page 7: Computational & Multiscale CM3

• Ductile failure: complex coalescence scenario

– What happens inside a « ductile » material when highly deformed ?

Introduction

7

X-ray tomography of in-situ tensile tests on

an aluminium alloy

Al 6056

e =50%

Page 8: Computational & Multiscale CM3

• Ductile failure: complex coalescence scenario

– What happens inside a « ductile » material when highly deformed ?

Introduction

8

X-ray tomography of in-situ tensile tests on

an aluminium alloy

Al 6056

e =60%

Page 9: Computational & Multiscale CM3

• Ductile failure: complex coalescence scenario

– Internal necking coalescence

• Shrinking of ligaments between voids along a localization band perpendicular to the main

loading direction.

– Shear driven coalescence

• Formation of micro shear bands inclined to the main loading direction and joining primary

voids, possibly with secondary voids nucleated in these micro bands.

Introduction

9

Shear-driven coalescence

Loading direction

Internal necking coalescence

Loading direction

(Weck & Wilkinson 2008)

Page 10: Computational & Multiscale CM3

• Ductile failure: stress-state dependent fracture strain

– Stress triaxiality dependent

– Lode dependent

Introduction

10

Fracture locus for 2024-T351 aluminum alloy

(Bai & Wierzbicki 2010)

Page 11: Computational & Multiscale CM3

• Existing modeling strategy

– Gurson - Tvergaard - Needleman model (GTN model)

• Phenomenological acceleration of void growth rate when porosity is greater than a critical value

• Enriched by the phenomenological shear enhancement to account for the failure under shear-

dominated loadings

– Two-surface model

• Based on two solutions for the expansion of a void in an elastoplastic material:

– Void growth solution: diffuse plasticity in the matrix around the voids

» Gurson-like models (GTN, …)

– Void coalescence solution: localized plasticity in the ligament between the growing voids

» Yield surface extended from the Thomason criterion

• Effect of the Lode parameter is not considered.

– …

• Objective:

– Develop a constitutive model able to capture physical growth & coalescence phases

Introduction

11

(Pardoen & Hutchinson 2000; Benzerga 2002; Besson 2009, …)

(Thomason 1985)

(Nahshon and Hutchinson 2008)

(Gurson 1977, Tvergaard & Needleman 1984; Needleman & Tvergaard 1984)

Page 12: Computational & Multiscale CM3

• Objective: to develop a constitutive model

– Large strain formalism

– Material degradation due to different stages of void expansion (nucleation, growth,

and coalescence)

• Damage indicators:

– Porosity 𝑓𝑉 (portion of voids)

– Void ligament 𝜒 (min distance between two neighboring voids)

Introduction

12

Page 13: Computational & Multiscale CM3

• Objective: to develop a constitutive model

– Nonlocal form

• Why?

– Local forms suffer from mesh-dependency

• Implicit formulation (Peerlings et al. 1998)

– Introduction of a characteristic length 𝑙𝑐– New non-local degrees of freedom 𝑍

– New Helmholtz-type equation to be solved

– Damage indicators depend on the nonlocal variable

• Multiple nonlocal variables can be considered

– Damage indicators depend on N sources

Introduction

13

The numerical results

change without convergence

𝜎

𝜀

Mesh refinement

Page 14: Computational & Multiscale CM3

• Objective: to develop a constitutive model

– Hyperelastic-based formulation

– Multi-surface model incorporates

• Void growth phase

– GTN model

• Internal necking coalescence phase

– Based on the Thomason criterion of coalescence

– Driven by maximum principal stress

• Shear driven coalescence phase

– Based on the Thomason criterion of coalescence

– Driven by maximum shear stress

Introduction

14

The maximum principal stress & maximum shear stress are Lode-dependent!

Page 15: Computational & Multiscale CM3

• Hyperelastic-based formulation

– Multiplicative decomposition

– Stress definition

• Elastic potential with logarithmic strain measure

• Kirchhoff stress tensors

– In corotational space

– In current space:

• First Piola-Kirchhoff stress

• Cauchy stress

– In corotational space

– In current space

Multi-surface nonlocal porous model

15

x

Ω

𝐛 = 𝐅 ⋅ 𝐅𝑇

𝚺 = 𝜿 𝐽−1

X

Ω0

𝐂 = 𝐅𝑇 ⋅ 𝐅𝐒 = 𝐅−1 ⋅ 𝐏

𝝃Ω𝜉

𝝃𝒄

Ω𝑐

𝐂e = 𝐅e𝑇⋅ 𝐅e

𝝉 = 𝑭e𝑇⋅ 𝜿 ⋅ 𝐅e

−𝑇

𝐅

𝐅p

𝐅e 𝐑e

𝐔e

Page 16: Computational & Multiscale CM3

• Hyperelastic-based formulation

– Porous plasticity corotational approach

• Yield condition

• Plastic flow

• Evolution laws

– Equivalent matrix plastic strain rate:

– Isotropic hardening law:

– Evolution laws for void characteristics

Multi-surface nonlocal porous model

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𝜆𝐿

𝜒𝐿

𝐿𝑓𝑊𝜒𝐿

Porosity : 𝑓Void ligament ratio: 𝜒Void aspect ratio: 𝑊Void spacing ratio: 𝜆

Void characteristics:

and evolution laws for Y depend on the void expansion solution: (void growth,

internal necking coalescence, or shear driven coalescence)

Page 17: Computational & Multiscale CM3

• Hyperelastic-based formulation

– Nonlocal void characteristics

• Volumetric & deviatoric equivalent plastic strain

• Nonlocal plastic state by implicit formulation

– Nonlocality of the volumetric plastic

deformation

– Nonlocality of the deviatoric plastic

deformation

– Nonlocality of the matrix plastic

deformation

• Evolution laws for void characteristics

Multi-surface nonlocal porous model

17

𝜆𝐿

𝜒𝐿

𝐿𝑓𝑊𝜒𝐿

Porosity : 𝑓Void ligament ratio: 𝜒Void aspect ratio: 𝑊Void spacing ratio: 𝜆

Void characteristics:

Page 18: Computational & Multiscale CM3

• Void growth phase – GTN model

– Yield condition

• GTN effective stress

– Parameters: 𝑞1 and 𝑞2

– Evolution laws for void characteristics (spheroidal)

• Porosity:

– Growth part

» Local form:

Nonlocal form:

– Nucleation part

» Local form:

Nonlocal form:

– Shear part (Nahshon and Hutchinson 2008):

» Local form:

Nonlocal form:

Multi-surface nonlocal porous model

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Page 19: Computational & Multiscale CM3

• Void growth phase – GTN model

– Yield condition

• Gurson effective stress

– Parameters: 𝑞1 and 𝑞2

– Evolution laws for void characteristics (spheroidal)

• Porosity:

• Other void characteristics

– Void distribution related parameter: 𝜅

» Periodic distribution 𝜅 = 1.5,

» Random distribution 𝜅 = 0,

» Clustered distribution 0 < 𝜅 < 1.5

Multi-surface nonlocal porous model

19

(Benzerga et al. 2016)

Page 20: Computational & Multiscale CM3

• Internal necking coalescence phase

– Thomason condition for onset of coalescence

• Localized plastic flow at ligament between

neighboring voids

• Limit load factor (Thomason 1985)

– Parameters: 𝑔 = 0.1, ℎ = 1.24 are

generally adopted

Multi-surface nonlocal porous model

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𝜆𝐿

𝜒𝐿

𝐿𝑓𝑊𝜒𝐿

Porosity : 𝑓Void ligament ratio: 𝜒Void aspect ratio: 𝑊Void spacing ratio: 𝜆

Void characteristics:

Page 21: Computational & Multiscale CM3

• Internal necking coalescence phase

– Yield surface

• Plasticity inside void ligament remains in a limit load state

• Driven by maximum principal stress (MPS)

• MPS-based Thomason yield surface

– Thomason effective stress

– Evolution laws for void characteristics

Multi-surface nonlocal porous model

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(Benzerga 2002)

Page 22: Computational & Multiscale CM3

• Shear driven coalescence phase

– Onset condition

• Thomason-like condition

• Limit load factor

– Parameter 𝜉

» Theoretically 𝜉 = 1 if 𝜎𝑌 is uniformly

distributed inside localization band.

» But 𝜉 > 1 is used as the real

distribution is not perfect.

Multi-surface nonlocal porous model

22

𝜆𝐿

𝜒𝐿

𝐿𝑓𝑊𝜒𝐿

Porosity : 𝑓Void ligament ratio: 𝜒Void aspect ratio: 𝑊Void spacing ratio: 𝜆

Void characteristics:

Page 23: Computational & Multiscale CM3

• Shear driven coalescence phase

– Yield condition

• Driven by maximal shear stress

• MSS-based yield condition

– Effective shear stress

– Evolution laws for void characteristics

Multi-surface nonlocal porous model

23

Page 24: Computational & Multiscale CM3

• Shear driven coalescence phase

– The meaning of 𝜉

• Failure under pure shear (𝑝′ = 0 and 𝜃 =𝜋

6)

– Void growth solution

» Yield condition

» Void characteristics

– Shear driven coalescence onset

» Estimation of 𝜉

» 𝜀d𝑠 is the onset of failure under a pure shear loading condition.

» 𝜀d𝑠 and other parameters allows estimating 𝜉,

» As 𝜀d𝑠 > 0 in general, one has 𝜉 > 1

Multi-surface nonlocal porous model

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Page 25: Computational & Multiscale CM3

• Competition between different modes

– Yield surface

• Effective stress

• Approximated form

– To avoid singularity of the yield

normal at the intersections

between different surfaces

– User-defined parameter 𝑚 ≫ 1

– Onset of void necking coalescence

– Onset of void shear coalescence

Multi-surface nonlocal porous model

25

Gurson only Gurson+Thomason

Gurson+Thomason+Shear Thomason+Shear

Gurson

ThomasonShear

Combination

Page 26: Computational & Multiscale CM3

• Solution under proportional loadings

– Constant stress triaxiality (𝜂) and normalized Lode angle ( 𝜃)

– 𝜀mc- ductility = equivalent plastic deformation at the onset of coalescence

Multi-surface nonlocal porous model

26

Internal necking

coalescence model

Shear driven

coalescence modelMulti-surface model

Page 27: Computational & Multiscale CM3

• Solution under proportional loadings

– Constant stress triaxiality (𝜂) and normalized Lode angle ( 𝜃)

• 𝜀mc- upper-bound and lower-bound

Multi-surface nonlocal porous model

27

Internal necking:

min: 𝜃 = 1Max: 𝜃 = −1

Shear:

min: 𝜃 = 0max: 𝜃 = ±1

Multi-surface model

Multi-surface

Page 28: Computational & Multiscale CM3

• Solution under proportional loadings

– Constant stress triaxiality (𝜂) and normalized Lode angle ( 𝜃)

• 𝜀mc- upper-bound and lower-bound

• Influence of 𝜀d𝑠 𝜉

Multi-surface nonlocal porous model

28

Lower-bound

Upper-bound

Page 29: Computational & Multiscale CM3

• Plane strain smooth specimen under tensile loading

– Verification of the nonlocal model

• 𝐿 = 12.5 mm 𝑒0 = 3mm

Numerical examples

29

Coarse ~3250 elements Medium ~9100 elements Fine ~17800 elements

Page 30: Computational & Multiscale CM3

• Plane strain smooth specimen under tensile loading

– Verification of the nonlocal model

• 𝐿 = 12.5 mm 𝑒0 = 3mm

• Use

– Effect of mesh size

Numerical examples

30

Coarse Medium Fine

Distribution of void ligament ratio

capture slant failure

Page 31: Computational & Multiscale CM3

• Plane strain smooth specimen under tensile loading

– Effect of 𝜉

Numerical examples

31

Distribution of void ligament ratio

Page 32: Computational & Multiscale CM3

• Axisymmetric specimens under tensile loading

– 𝑅0 = 3𝑚𝑚, 𝑅1= 6𝑚𝑚, 𝐿 = 25 𝑚𝑚

– Different notched radius: 𝑅0/𝑅𝑛 = 0, 0.2, 0.6, 1, 1.5

– Using

Numerical examples

32

Distribution of void ligament ratio

capture cup-cone failure

Page 33: Computational & Multiscale CM3

• Objective

– Simulation of ductile failure incorporating void growth & coalescence deformation

modes

• Methodology

– Nonlocal porous plasticity

– Multi-surface model incorporating void growth, internal necking coalescence, and

shear driven coalescence

• Results

– The proposed framework is able to model

• The slant fracture mode in plane strain smooth specimens

• The cup-cone fracture mode axisymmetric smooth & notched specimens

• Upcoming tasks

– Validation/Calibration with literature/experimental tests

Conclusion

33

Page 34: Computational & Multiscale CM3

Computational & Multiscale

Mechanics of Materials CM3www.ltas-cm3.ulg.ac.be

Thank you for your attention

Computational & Multiscale Mechanics of Materials – CM3

http://www.ltas-cm3.ulg.ac.be/

B52 - Quartier Polytech 1

Allée de la découverte 9, B4000 Liège

[email protected]

Euromech 600, Aachen, Germany

Page 35: Computational & Multiscale CM3

• Elastic predictor

• Plastic corrector (fully implicit radial return)

Predictor-corrector scheme

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