The conventional method for estimating compressive strength of concrete has been suggested by considering only 1 to 3 influential factors. In this study, seven influential mixture factors (Water-Cement Ratio, Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know tendency of data. The purpose of this paper is to estimate compressive strength more accurately by applying it to algorithm of the Deep learning.

• 이승준(한양대학교 대학원 건축시스템공학과, 석사과정) | Lee, Seung Jun
• 양현민(한양대학교 대학원 건축시스템공학과, 박사과정) | Yang, Hyun Min
• 이한승(한양대학교 ERICA캠퍼스 건축학부 교수, 공학박사) | Lee, Han Seung Corresponding author