Electromechanical Impedance and ML for Concrete Strength Monitoring

This is the input and output dataset of electromechanical impedance and machine learning for concrete strength monitoring of a paper will be accepted for publication in journal Mechanical Systems and Signal Processing. The title of the paper is "Early-age concrete strength monitoring using smart aggregate based on electromechanical impedance and machine learning". In the zip file, the folder "input dataset" stores the conductance sequences of the SAs (SA-A, SA-B, SA-C, SA-D, SA-E) and the observed compressive strength (OCS) of the corresponding concrete specimens, where represents the conductance values of SAs at different sampling frequencies. The folder "output dataset" stores the output data of the developed models with different divisions of dataset, and that is the predicted compressive strength (PCS).