Engineering Commons^™

Multi-Sensor Data Collection And Fusion Using Autoencoders In Condition Evaluation Of Concrete Bridge Decks, Sepehr Pashoutani, Jinying Zhu, Chungwook Sim, Kwanghee Won, Brian A. Mazzeo, W Spencer Guthrie

Department of Civil and Environmental Engineering: Faculty Publications

This paper presents a multi-sensor data collection and data fusion procedure for nondestructive evaluation/testing (NDE/NDT) of a concrete bridge deck. Three NDE technologies, vertical electrical impedance (VEI), ground-penetrating radar (GPR), and high-definition imaging (HDI) for surface crack detection, were deployed on the bridge deck. A neural network autoencoder was trained to quantify the relationship between VEI and GPR results using the data collected at common positions. This relationship was then used for fusion of VEI and GPR data to increase the reliability and spatial resolution of the NDE measurements and to generate a data-fused condition map that showed novel characteristics. …