An Experimental Study on the Measurement of Fineness Modulus Using CNN-based Deep Learning Model

Abstract

As concrete has been used in many construction works also, the use of aggregates is increasing. However, supply a nd demand of high-quality aggregates has become shortage recently, and although circular aggregates that recycle construction waste are used, the performance of concrete, such as liquidity and strength, are being reduced due to defective aggregates. As a result, quality tests such as sieve analysis test are conducted, but a lot of waste occurs such as time and manpower. To solve this problem, this study was conducted to measure the assembly rate of fine aggregate, which accounts for about 35% of the concrete volume, using Deep Learning.