senad1_dataset: Project SenAD - Machine learning-based degradation monitoring for asphalt road pavements

Datasets from fatigue tests of asphalt specimens with an embedded fabric-based sensor system under laboratory conditions. The Data was created in the preliminary SenAD project (Sensorintegration in Asphalt für ein datenbasiertes Degradationsmonitoring/ Sensor integration in asphalt for data-based degradation monitoring) finished in 2021 and can be interpreted using the jupyter notebooks (https://doi.org/10.25625/PQDAEQ). The objective is to derive the degradation state of the asphalt base layer on the basis of sensor measurements obtained by means of a novel hybrid sensor fabric integrated directly into the asphalt base layer. The Dataset contains 32 files (from experiments with 32 asphalt specimens with embedded copper-nickel wires of 4 different diameters: 0.2 mm, 0.3 mm, 0.4 mm, 0.6 mm) with two columns each. First Column shows the recorded voltage measurements from the sensor fabric [in mV], second column shows the calculated fatigue of the asphalt specimen under load from the hydraulic testing machine.