A New Approach Based On Image Processing for Measuring Compressive Strength of Structures

Abstract

Abstract:The compressive strength factor in civil engineering is a very important parameter used to determine the performance of structures. The stability of structures can be tested with this parameter which is used to measure the performance of concrete under different loads. This parameter, which should be determined for the safety of the structures, is usually based on experimental analyses performed in the laboratory environment. In this study, a new approach to compressive strength measurement in civil engineering is proposed. With this approach, which is based on image processing, measurement of compressive strength parameter of concrete samples taken from structures is performed. For this purpose, images of concrete specimens with different strengths are taken and these images are divided into two groups as training and test set. Then, image processing algorithms are applied to these images and the compressive strength of concrete specimens is calculated. It has been determined that the approach suggested in the test runs performed with an error rate of about 1-2%.

Comparison of Compressive Strength of M30 Grade Concrete with Destructive and Nondestructive Procedures Using Digital Image Processing as a Technique

“…e predicted compressive strength is found to be very accurate up to 98.65% in destructive tests [12]. e image processing algorithms were proposed and applied to assess the strength, and the error rate was about a mere 1-2% [13]. Digital image processing can be used to detect the construction progress by adopting a suitable algorithm, which can detect the structural elements and their defaults at site [14].…”