Impedance spectroscopy analytical method for concrete using machine learning, recording medium and device for performing the method

An impedance spectroscopy analytical apparatus for concrete using machine learning comprising:

• an Electrochemical Impedance Spectroscopy (EIS) unit for identifying electrical flow through moisture and a conductive ion present in concrete using a node that measures electricity based on EIS;
• an equivalent circuit unit for generating a theoretical equivalent circuit model comprising a conductive path reflecting the electrical flow;
• a circuit normalization unit for normalizing an equivalent circuit reflecting a concrete microstructure based on an impedance experiment using the theoretical equivalent circuit model;
• and
• a predictive model unit for generating a predictive model for estimating a water and cement ratio from a parameter value of the equivalent circuit through machine learning,
• wherein the EIS unit applies a three-electrode method using a working electrode (WE), a counter electrode (CE), and a reference electrode.