Currently, virtual manufacturing and simulation predictions are crucial in the design and development of engineering parts. However, its reliability largely depends on the adopted constitutive model and accuracy of the governing material parameters. A complex and robust phenomenological constitutive model requires the calibration of many parameters. This is a very time-consuming task, particularly when using classical procedures, which involves many homogeneous mechanical experiments and high costs.
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Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
1. Design and validation of a heterogeneous interior notched
specimen for material mechanical characterisation
1 Centre for Mechanical Technology and Automation (TEMA)
Department of Mechanical Engineering, University of Aveiro
Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde1,*, A. Andrade-Campos1, S. Coppieters2
2 Department of Materials Engineering, KU Leuven
Ghent Technology Campus, Gebroeders De Smetstraat 1, Ghent, 9000, Belgium
* Corresponding author: Mariana Peneda Conde. E-mail address: marianaconde@ua.pt
2. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Engineering design and development framework
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
1
Engineering
design and
development
Simulation
predictions
Virtual
manufacturing
3. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Numerical material behaviour reproduction
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
2
Constitutive
model
Material
parameters
Numerical
material
behaviour
prediction
4. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Observed problem and possible solution
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
3
Classical mechanical tests
Fixed stress state [1]
Several tests required
Time consuming
High costs
Heterogeneous mechanical
tests
Several strain and stress states
simultaneously
Large mechanical information
More complex stress states that
better represent reality [1, 2]
Fewer tests required [3]
Reliability proved [1-4]
[1] S. Cooreman, D. Lecompte, H. Sol, J. Vantomme, and D. Debruyne, Exp. Mech., vol. 48, no. 4, pp. 421–433, 2008, doi: 10.1007/s11340-007-9094-0.
[2] T. Pottier, F. Toussaint, and P. Vacher, Eur. J. Mech. A/Solids, vol. 30, no. 3, pp. 373–382, 2011, doi: 10.1016/j.euromechsol.2010.10.001.
[3] Nelson Mineiro Souto. Phd Thesis, University of Aveiro, Portugal, 2015.
[4] E. M. C. Jones, J. D. Carrol, K. N. Karlson, S. L. B. Kramer, R. B. Lehoueq, P. L. Reu and D. Z. Turner. Computational Materials Science, 152(June):268-290, 2018.
5. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Non-homogeneous mechanical tests from the literature
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
4
[7] T. Pottier, P. Vacher, F. Toussaint, H. Louche and T. Coudert. Experimental Mechanics, 52(7):951-963, 2012.
[5] [5] [5]
[6] [7]
[4] [8] [3] [3]
[5] Steven Cooreman. PhD Thesis, Free University of Brussels, Belgium, 2008.
[6] J. H. Kim, F. Barlat, F. Pierron and M. G. Lee. Experimental MechanicsI, 54(7):1189-1204, 2014.
[4] E. M. C. Jones, J. D. Carrol, K. N. Karlson, S. L. B. Kramer, R. B. Lehoueq, P. L. Reu and D. Z. Turner. Computational Materials Science, 152(June):268-290, 2018.
[8] L. Chamoin, C. Jailin, M. Diaz and L. Quesada. International Journal of Solids ans Structures, 2020.
[3] Nelson Mineiro Souto. Phd Thesis, University of Aveiro, Portugal, 2015.
6. Proposed solution
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Innovative heterogeneous mechanical test
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
5
Design a
heterogeneous
mechanical
specimen
Uniaxial loading conditions
Several strain and stress states
simultaneously
Standard tensile testing machine
Non-circular interior notch
Shape optimisation based on
heterogeneity indicators
7. Methodology and implementation
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by shape optimisation: general methodology
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
6
Control
variables
Curve
definition
Specimen’s
shape
Virtual
mechanical
test
Strain and
stress states
Heterogeneity
criterion
Objective
function
Optimisation
algorithm
Iterative
process
Heterogeneity
indicators
Plane stress state
Best solution
Beginning
Convergence?
8. Methodology and implementation
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Optimisation problem formulation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
7
The aim is to find r = [ ri ] with i = 1,… n, that:
maximises: 𝐻 𝐫, 𝐮
𝑟𝑖
min ≤ 𝑟𝑖 ≤
𝑟𝑖
max,
𝐊. 𝐮 = 𝐅.
𝐫 ∈ ℝ𝑛
Subjected to:
𝑖 = 1, … , 𝑛,
9. Methodology and implementation
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Solution’s evaluation: heterogeneity criterion
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
8
𝐼T1 = 𝑤r1
Std
𝜀2
𝜀1
𝑤a1
+ 𝑤r2
𝜀2
𝜀1
𝑅
𝑤a2
+ 𝑤r3
Std 𝜀𝑝
𝑤a3
+ 𝑤r4
𝜀𝑝
𝑀𝐴𝑋
𝑤a4
+ 𝑤r5
𝐴𝑣𝜀𝑝
𝑤a5
𝐼T1 ϵ [0,1]
[3] Nelson Mineiro Souto. Phd Thesis, University of Aveiro, Portugal, 2015.
𝐶𝐹T1 = 2 − 𝐼T1
uniaxial tension
pure shear
uniaxial compression
plane strain
equibiaxial tension
[3]
10. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
9
Control points
Fixed point
Extra points
x
y
11. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
10
12. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
10
13. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
11
14. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
12
Control points
Fixed point
Extra points
x
y
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
15. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 60 mm
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
13
16. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 60 mm to 120 mm
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
13
17. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
14
18. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
14
19. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 4
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
15
20. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 4 to 12 control points
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
15
21. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
16
Control points
Fixed point
Extra points
x
y
Hooke’s Law
Swift hardening Law
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
22. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
16
Control points
Fixed point
Extra points
x
y
Hooke’s Law
Swift hardening Law
Yld2000-2d yield function
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
23. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: comparison of the obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
17
24. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: reference solution (circular interior notch)
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
18
25. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
19
26. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
20
27. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
21
28. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
22
29. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Hardening parameters’ identifiability analysis of the best solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
23
[10] Y. Zhang, S. Gothivarekar, M. Conde, A. V. de Velde, A. Andrade-Campos, S. Coppieters, (Unpublished results)
[11] R. Brun, P. Reichert, H. R. K¨unsch, Water Resources Research 37 (4) (2001) 1015-1030. doi:10.1029/2000WR900350
[12] D. N. Gujarati, Basic Econometrics, 4th Edition, Vol. 82, McGrawHiII/lrwin, 2003. doi:10.2307/2230043.
[10, 11] [10, 12]
Good
identifiability
Poor
identifiability
Good
identifiability
Poor
identifiability
Moderate
identifiability
The identifiability indexes are based on the partial derivative of the strain field with respect to the hardening parameters.
It demonstrates the influence of the material model parameters in the computed strain fields of the test.
30. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Validation of the best solution using a virtual experiment
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
24
Virtual
experiment
Real speckle pattern (5px dot size)
Added heteroscedastic noise
Reference image deformed according to the FEA data
(nodal coordinates for each load step)
Performance analysis (subset size, step size, strain
window and order of the fitting polynomial)
𝑁𝑜𝑖𝑠𝑒 𝑓𝑙𝑜𝑜𝑟 = 1.526 × 10−3
𝑁𝑜𝑖𝑠𝑒 𝑙𝑒𝑣𝑒𝑙 = 0.653 %
31. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Validation of the best solution using a virtual experiment
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
25
Strain component Average FEA and
DIC difference (%)
xx 3.283
yy 6.057
xy 14.477
Subset-based DIC process
Speckle pattern quality
Experimental noise
Strain calculation method
32. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Validation of the best solution using a virtual experiment
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
26
33. Conclusions and future works
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
27
Main conclusions
Interior notched specimen for a
uniaxial loading test using
shape optimisation
Uniaxial tension, pure shear, uniaxial compression and plane strain states in the plastic regime
Larger heterogeneity than a specimen with a circular interior notch
Good identifiability of the
sought parameters of the Swift
hardening Law
Validation using a virtual
experiment
Good agreement on the xx and yy strain components
xy strain component exhibited larger differences
Larger errors observed in the tip of the interior notch
Strains states revealed in the numerical analysis are observed in the virtual experiment
34. Conclusions and future works
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
28
Future works
Influence of the material orientation On the mechanical behaviour of the best solution
On the shape optimisation problem
Parameter identification using the developed
specimen
Synthetic images
Experimental data
Perform the real experimental validation of the
designed test
35. Design and validation of a heterogeneous interior notched
specimen for material mechanical characterisation
Thank you!
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde1,*, A. Andrade-Campos1, S. Coppieters2
This project was funded by the Research Fund for Coal and Steel under grant agreement No 888153.
The authors acknowledge the financial support of the Portuguese Foundation for Science and Technology (FCT)
under the project PTDC/EME-APL/29713/2017 by UE/FEDER through the programs CENTRO 2020 and COMPETE
2020, and UID/EMS/00481/2013-FCT under CENTRO-01-0145-FEDER-022083.
* Corresponding author: Mariana Peneda Conde. E-mail address: marianaconde@ua.pt
Editor's Notes
Greetings
Name, University, Counrty
Title
Nowadays…
Accurate simulations <- robust contitutive model+calibrated material parameters
These days the classical mechanical tests are used to calibrate the model’s parameters.
However, heterogeneous mechanical tests ……
The heterogeneity is obtain due to a complex specimen geometry, or a complex loading condition, or even the combination of both
Here are some exemples from the literature….
Still don’t presente all the strain and stress states
These still have some issues like sliping of grips
It is proposed to develop….
How does he optimisation problema work?
It stars by…. Control variables = optimisation variables
Curve definition, …
Virtual mechanical test performed in abaqus until rupture in plane stress state conditions
There are obtained the strain and stress states that are used for the calculation of the heterogeneity criterion
CP = optimisation variable
Fixed point -> give another point to curve (> flexibility) but not add a optimisation variable
Extra points -> unsure slipes continuty in the symmetries
The aim is to …
That maximizes the heterogenety
Subjected to the search space limits of variables and the equilíbrium of forces of the virtual test
The heterogeneity criterion used was an adaptation of one from the literature
It was evaluated in the moment just before rupture and it takes in consideration… strain states.
It takes into acount both elastic and plastic strains.
It is normalised, so its maximum possible value is 1 and the cost function to be minimised is equal to 2 minus the heterogeneity criterion value
Conserning the simulation procedure, it …
It was performed a sensittivy analysis of the heterogeneity criterion to the element dimension and type.
For that it was varied each control point individually from 6 to 14, while the other were fixed in 10 and was calculated the heterogeneity criterion value with diferent element dimensions
It was performed a sensittivy analysis of the heterogeneity criterion to the element dimension and type.
For that it was varied each control point individually from 6 to 14, while the other were fixed in 10 and was calculated the heterogeneity criterion value with diferent element dimensions
It was performed a sensittivy analysis of the heterogeneity criterion to the element dimension and type.
For that it was varied each control point individually from 6 to 14, while the other were fixed in 10 and was calculated the heterogeneity criterion value with diferent element dimensions
It is observed a similar behaviour with the different element dimentions, with some exceptions with the 0.88mm element edge size
So it was perfered a smaller element dimention, expecting more accuracy
It was taken the same approach for the element type sensitivity evaluation.
It is clearlly observed a shift in the curves that will influence the heterogeneity criterion value. However, since the optimisation problema is a comparitive approach, this will not influence finding the best solution. So it was perfered a elemento type that requires less computational time (CPS4R)
These are the heterogeneity criterion values of each final solution. The best 4 were highlighted for further analysis.
Here is the reference solution, a specimen with a 20mm diameter perforation in the center.
On the left there are the minor and major stress and strain ratio, the von mises stress and the equivalente plastic strain of the specimen in the moment just before rupture.
On the right, the same moment is demonstrated in the major and minor stress diagram.
It can be observed some heterogeneity specially in the elastic regime. The plsatic regime is dominated by uniaxial tension state, with some uniaxial compression state.
Here is solution F, with a larger width. It shows mora variaty in the strain and stress states, exhibiting elemento from the plane strain state, until uniaxial compression in the plastic regime. In the elastic regime there are observed elements in the equibiaxial tension state.
This solution was genetared with an ellipsed-shape interior notch as initial solution of the optimisation problem.
It presents one of the largest heterogeneity criterion values, however the strain and stress states observed haven’t got that variety
This is the solution obtained with the combination of the best parameters. It presentes a similar mechanical behaviour as Sol. F, but a more complex interior notch shape
Lastly this is the solution obtained with the same parameters as Sol F, but adding the anisotropy behaviour to the material model. The interior notch shape is different from Sol F, demonstrating that dependeing on the material use, the optimium shape is different. The minor and major stress diagram shows a large amount of elements in the plastic regime with a good variety of stress states.
It was done an identifiability analysis to the hardening parameters of the best solutions.
….
It was proved that all the solutions show good identifiability, whereas the reference solution shows a moderate identifiability of the hardening parameters
A virtual experiment was held with a real speckle pattern….
Here are presented the strain fields of the FEA and DIC analysis and the normalised difference between the two.
The xx (exs) and yy (why) strain components show large similarities, with only some discrepencies in the tip of the notch.
Whereas the xy (ex-why) strain ocmponent exhibits larger diffrences with a average of approx. 14%.
These differences reflect the influence of the subset-based DIC process, the speckle pattern quality, the experimental noise and the strain calculation method.
Here are presented the minor and major strain diagrams of the same solution in the moment just before rupture evaluated with the numerical approach and the synthetic images.
It is observed a larger number of elements exhibiting pure shear in the virtual experimente and larger strains in the uniaxial tension state