&lt;title&gt;Speckle interferometry in material testing and dimensioning of structures&lt;/title&gt;

Galanulis, K.; Ritter, Reinhold

doi:10.1117/12.172600

Cited by 3 publications

(1 citation statement)

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“…A methodology has been proposed to compute strains from discrete sets of displacements, which have been obtained using experimental techniques like Electronic Speckle Pattern Interferometry (ESPI) (see Bergmann et al, 1995 or Galanulis andRitter, 1993 for more details), or using the Hentschel Random Access Tracking System (Zamzow, 1990). Two possibilities have been explored, namely an existing method (Peters, 1987) in which the variation in the local displacement field is truncated after the linear terms (first-order method), and a new approach (second-order method) in which quadratic terms are also included in the variation of the local displacement field.…”

Section: Discussionmentioning

confidence: 99%

Computing strain fields from discrete displacement fields in 2D-solids

Geers

Borst

Brekelmans

1996

International Journal of Solids and Structures

105

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Ah&act-The analysis of strain localization and damage evolution in materials requires appropriate experimental techniques to verify the complex material behaviour in the damaging zone. Modern techniques are now available to measure the displacement fields in small zones of a material, and a complementary procedure is needed to derive the accompanying strain fields. The knowledge of the local strain fields gives direct information with respect to the applied constitutive model and serves as initial. input for most parameter estimation procedures, while the tine-tuning of the model parameters should be done by comparing the computed and measured displacement fields. This study presents a theory to compute strains from the displacements in a discrete set of points and is particularly useful in the post-processing of experimentally measured displacement fields. The theory is fully elaborated, and some practical examples are given. A comparison is made with some analytical solutions, and the effect of noise on the input data is evaluated.

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Section: Discussionmentioning

confidence: 99%