Issue 47

L. Marsavina et al., Frattura ed Integrità Strutturale, 47 (2019) 266-276; DOI: 10.3221/IGF-ESIS.47.20

h subset

subset

x 1

1

v subset

m

D v

x 1

ZOI

D h

x 2

m*

Undeformed image

x 1

ZOI

Deformed image

x 2

Subset m (4x4pixels) Subset center

x 2 pixel

x 2 subset

x 1

pixel

ZOI

x 1 Subsets subset

pixel

x 2

Sample with Black and white speckle pattern

Figure 6 : Principle of DIC

Evaluation of crack relative displacement factor As detailed in works of [19, 20, 25, 52], the CRDF is calculated from the experimental displacement field via an adjustment procedure based on an iterative Newton-Raphson algorithm (see Fig. 7).

Optimization Experimental boundary conditions  experimental noises

Analytical solutions of Kolossov–Muskhelishvili’s series

Optimized fields

N   1 N   1

 f , 

 g , 

  /2 

  /2 

u

1 A r  

2 A r 

   

 

1

Experimental  displacement field

Equivalent  displacement field

 z , 

  /2 

  /2 

u

1 A r  

l

,

2 A r 

   

 

2

 By an adjustment procedure Optimization of displacement field

Adjustment procedure ( Newton-Raphson)

Identification of the weighting coefficients

1 A A A A T T R x x   N N 0

1 1

0 2

  

2

1

2

1

2

1

0

Rigid body motions

Crack geometry

( ) 1 K 2 2 A 1           ( ) 1 2 2 K 2 2 A 1           1 1

Crack Relative Displacement Factor

Figure 7 : Methodology of CRDF calculation.

This consists in a fitting of analytical solutions of Kolossov–Muskhelishvili’s series [53, 54] on the displacement fields measured by DIC. Dubois et al. [16, 17], Pop et al. [19] and Meite et al. [20] show that by using this approach, an “equivalent” displacement field can be created without experiment noises, the knowledge of the material properties or the nonlinear phenomena presence [17-20]. Then, the CRDF can be expressed as a function to the weighting coefficients of the analytical solutions of Kolossov–Muskhelishvili’s series.

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