@inbook{
author = "Vlahović, Milica and Martinović, Sanja and Jovanić, Predrag and Boljanac, Tamara and Volkov Husović, Tatjana",
year = "2014",
abstract = "The degradation of concrete structures, which progresses as time passes, is caused by
external factors such as chemical, physical and mechanical interferences. In the case of
chemical deterioration, various ions penetrate from the surface and then permeate into the
concrete. Concrete structures are more or less porous materials, which have pores with a
range of diameters. These pores have a detrimental influence on the strength of concrete
and on the durability because they become permeation paths for other deterioration
factors. Degradation of concrete structures often results in initiation and propagation of
micro-cracks and other micro-defects. Since the presence of micro-cracks can
significantly influence the mechanical properties of concrete, detection and control of
micro-cracks is an essential issue for its durability. The prediction of material
macroscopic properties requires a method capable of quantifying the material microstructural
characteristics. Image analysis of the sample surface destruction is an important non-destructive
method for assessing damage of the materials. Due to image analysis, more systematic
and more accurate measurements have become possible. Therefore, more objective
characterization of concrete structures from the aspect of material properties is provided.
Evaluation of various concrete properties, as well as the effect of external influences on
the microstructure of concrete, can be investigated using these non-destructive
methodologies.
The objective of the current study is focused on the quantifying surface cracks in
concrete structures by using image analysis technique. In this chapter, application of
image analysis in monitoring the level of surface destruction of sulfur concrete and
Portland cement concrete subjected to corrosion conditions was presented. Macro- scale
image analysis was realized with taking into account the total surface of the samples in
order to monitor damage distribution at the surface. Micro- scale image analysis was
applied to the specific areas of the sample surface, detected by the macro- scale image
analysis as potential critical areas for further deterioration.
Based on the image analysis results, the model for prediction of mechanical strength
degradation was given. Mechanical strength measuring of the concrete samples was
realized using classical, destructive testing method according to the standard. Agreement
between calculated and experimental mechanical strength values confirmed that the
proposed model was acceptable.
The quantitative nature of this data and its regular collection can promote the
establishment of deterioration criteria through the determination of correlation between
deterioration factors and damage within concrete structures. In this context, this study
constitutes an important contribution to a better understanding of image analysis, and
how such tools can be used to assist in the assessment of the condition of concrete
structures in order to provide more reliable concrete monitoring.",
publisher = "Nova Science Publishers, Inc.",
journal = "Advances in Image Analysis Research",
booktitle = "Image analysis technique for evaluating damage evolution and predicting mechanical strength of concrete structures under corrosion conditions",
pages = "147-169",
url = "https://hdl.handle.net/21.15107/rcub_cer_5985"
}
