Abstract
The aim of this contribution is a theoretical study for the estimation of the dynamic stress intensity factor (DSIF) using results from an experimental measurement. Using optical methods, it is possible to determine individual displacements of crack surfaces in multiple distances from the crack tip. Based on the theoretical distribution of displacements in the crack front, the DSIF can be estimated using the displacement extrapolation method at each time step. The main motivation for this methodology is the difficulty of estimation DSIF in real structures. The described approach is consequently compared with conventional numerical methods and the applicability is evaluated.
Highlights
There are several methods for determining the dynamic stress intensity factor (DSIF)
Results of DSIFs that were obtained by displacement extrapolation method (DEM) can be considered as independent with respect to those obtained by interaction integral method
At the midpoint of body thickness, only one non-negligible value was KIII(t) with a satisfying correlation to the reference value. The aim of this contribution was to assess the usability of the displacement extrapolation method for the estimation of dynamic or static stress intensity factor
Summary
The first group of methods can be called numerical ones In this group, DSIF is calculated based on results from numerical analysis. There are hybrid methods that combine experimental measurements from which the results are compared and used in numerical analysis to determine the DSIF. As inputs to numerical analysis experimentally measured forces and velocities were taken to compute crack opening displacement and responsible DSIF in [6]. The third group of methods is directly estimated DSIF from an experimental measurement. The submitted contribution deals with the estimation of DSIF directly from experimental measurement by the displacement extrapolation method. From our initial experimental measurement, we found out that relatively small changes in placement of the cracked body highly affect measured results
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