International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 09 | Sep 2024
p-ISSN: 2395-0072
www.irjet.net
HEALTH MONITORING OF SELF COMPACTING CONCRETE DETERIORATION USING IMAGE PROCESSING P. MADHU1, Dr. E. ARUNAKANTHI2 1M.Tech student, JNTUA College of Engineering, Ananthapur, A.P., India 2Professor. JNTUA College of Engineering, Ananthapur, A.P., India
---------------------------------------------------------------------------***--------------------------------------------------------------------------Abstract: Self-compacting concrete (SCC) is used in places where there can be no access to vibrators for compaction and in
complex shapes of formwork, over a period of time concrete structure may cause cracks, spalling, and other potential signs of deterioration. In order to assess the SCC structures at inaccessible locations there is a need for the development of reference charts and baseline images for condition monitoring. In the present study M20grade concrete is cast and cured in water for 28 days then exposed to the chemicals CH3COOH, NaCl, HCl, and H2SO4 for the duration of 7, 14, 28 and 56 days. The color profiles of deteriorated surfaces are analysed in CIE-XYZ color pace, and the respective chromaticity diagrams are investigated. The chemical exposed surfaces are captured using a camera then processed in image processing software to quantify the change in surface colors on the concrete and history of deterioration. Due to the chemical attack, there is a physical change in concrete. A correlation is established between physical changes and vision changes on the concrete surface then the correlation graphs are dawn by the compressive strength and x and y values. This approach contributes to the sustainability of SCC structures for enabling proactive maintenance strategies. Key words: compaction, formwork, cracks, image processing, deteriorated surfaces, chemical attack, compressive strength, CIE-XYZ color space.
1. INTRODUCTION
investigation M20 grade concrete gets exposed to toxic chemicals after it has been cast und treated using water for 28 days. CH₃COOH, NaCl, HCl, and H2SO4 for the duration of 7,14,28, and 56 days.
Globally, concrete is a commonly utilised building material, and as technology has advanced, so too have its qualities. To improve the many characteristics of concrete, a variety of varieties have been created. There are four phases to this development thus far. Traditionally, concrete with normal strength is the oldest and consists of just four ingredients: cement, water, medium and coarse particles. One of the greatest advancements in modern construction technology worldwide is Self-Compacting Concrete (SCC). One of the biggest advancements in the building business recently is "high performance concrete," which is also known as "self-consolidating concrete." Using home garbage, industrial byproducts, and other treated and untreated resources as raw materials for concrete is a contemporary global trend. They contribute to a cleaner, greener environment in addition to facilitating the reuse of materials. The purpose of this study is to investigate the feasibility of utilising waste materials to prepare creative concrete.
After curing the concrete molds then attack on acids to the concrete to mix the acids on water by every 1 liter of water add on 5% of acids to be added, after adding on chemicals attacking at certain room temperature and lighting also provided then after curing is complete to check the weight, diagonal dimension, and color. after to capture the images on concrete molds to convert the photos into color pigmentation Health monitoring of self-compacting concrete (SCC) using image processing is a modern and efficient approach to assessing the structural integrity and detecting deterioration in concrete structures. This technique leverages advanced computer vision and machine learning technologies to provide non-destructive evaluation, enabling early detection of issues and ensuring the longevity and safety of SCC structures.
The technique of manipulating a picture to improve it or extract valuable information is called image processing. It involves the manipulation of images to achieve a desired outcome, such as improving visual quality, correcting distortions, or identifying specific features. In The current
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2. LITERATURE REVIEW Prasanna et al., 2016(1)this is to study the crack detection many studies utilize technigues like canny edge detection
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