公开(公告)号：US20230400427A1

公开(公告)日：2023-12-14

申请号：US18033742

申请日：2021-11-17

申请人： Foundation of Soongsil University-Industry Cooperation

发明人： Hajin CHOI ,  Joo-hye PARK ,  Do-yun KIM ,  So-hyun SIM ,  Jin-Young HONG

IPC分类号： G01N27/02 ,  G01N33/38

CPC分类号： G01N27/026 ,  G01N33/383

摘要： Provided is an impedance spectroscopy analytical method for concrete using machine learning. The method comprises identifying electrical flow through moisture and a conductive ion present in concrete using a node that measures electricity based on electrochemical impedance spectroscopy (EIS); generating a theoretical equivalent circuit model comprising a conductive path reflecting the electrical flow: normalizing an equivalent circuit reflecting a concrete microstructure based on an impedance experiment using the theoretical equivalent circuit model; and generating a predictive model for estimating a water and cement ratio from a parameter value of the equivalent circuit through machine learning. Accordingly, the accuracy and reliability of estimating the microstructure and mixing ratio of the cement-based material can be increased.