An Approach to Classify the Concrete Surface Using Digital Image Processing Combined with Fuzzy-logic Based System

An Approach to Classify the Concrete Surface Using Digital Image Processing Combined with Fuzzy-logic Based System
Author(s):
Ranjeet Arya, Shivendra Singh
Keywords:

Abstract
This paper presents an expert system that was developed with the goal of classifying the surface finish of self-compacting concrete (SCC) precast elements. The classification concerns the presence of bugholes, which are imperfections that appear on a concrete surface after demoulding. The surface evaluation is based on digital images that are processed by an image analysis tool. This tool defines the parameters that will be evaluated by a fuzzy logic-based classification tool. The classification is based on a novel scale that considers the degree of treatment necessary to achieve proper surface finish. The proposed system was app lied to evaluate SCC precast elements. The results from the case study highlight the success of the proposed expert system in evaluating SCC finish. In addition, the system proved to be of great help when used for systematic analyses of the effect of mixture proportions.
Article Details
Unique Paper ID: 147621 Publication Volume & Issue: Volume 5, Issue 9 Page(s): 246 - 250
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NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

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