Fractal And Spectral Analysis Of Fracture
Surfaces Of Elastomeric Materials
Author(s)
D. Ait Aouit & A. Ouahabi
Abstract
Crack path identification was based on a multifractal spectrum calculated upon
the fracture surfaces of an elastomeric material. This identification was carried
out under various mechanical loading (stress level, frequency and loading ratio)
and thermal damage.
The self-affinity nature of the surface roughness anisotropy is roughly
identified through the power spectrum analysis. Then, the clustering singularity
structure and its multiscaling characteristics are further examined with the
box-counting technique and multifractal analysis.
According to the features extracted from the multifractal spectrum obtained, it
is apparent that the fracture surface morphology exhibits fewer irregularities with
the crack initiation, and more irregularities appear with the crack propagation,
until the phase of the final rupture of the material which presents fewer
irregularities. This identification is very useful to determine the fracture causes
of manufactured parts from the studied material.
Keywords: surface roughness, multifractal, fracture, irregularities.
1 Introduction
The fracture surfaces contain the history of micro crack signatures, which are the
indices of the fatigue of the studied materials. In the past few years, most
commonly applied methods in a numerical description of fracture surfaces are
quantitative fractography and image analysis [1, 2].
The concept of fractal geometry has been proved to be very useful in
describing fracture morphology of materials. The Stach’s works [3–6] have
shown the effectiveness of multifractal analysis in the fractographic study.
Keywords
surface roughness, multifractal, fracture, irregularities.
Related Book
Other papers in this volume
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