CNN기반의 딥러닝 모델을 활용한 잔골재 조립률 예측에 관한 기초적 연구

A Fundamental Study on the Measurement of Fineness Modulus Using CNN-based Deep Learning Model

Recently, as concrete is used in many construction works in Korea, the use of aggregates is also increasing. However, the depletion of aggregate resources is making it difficult to supply and demand high-quality aggregates, and the use of defective aggregates is causing problems such as poor performance such as the liquidity and strength of concrete pouring out in the field. As a result, quality tests such as sieve analysis test is conducted on their own, but this study was conducted to improve time and manpower by using the CNN-based Deep Learning Model for the fineness modulus.