SenAD-2:
Machine-learning-based degradation monitoring for asphalt road surfaces with bio-based sensor fabric

Project start /

How can road reconstructions be planned more economically and with fewer traffic disruptions? The point in time at which an asphalt road fails depends on the structural condition of the asphalt base layer. Inspections are currently only possible on a random basis via core analysis and cause additional damage to the road. In collaboration with research and industry partners, we are developing a solution: an intelligent measuring system that allows the condition of the asphalt base layer to be monitored continuously, comprehensively and non-destructively. The basis for the measuring system is a sensor fabric in the asphalt. At the Fraunhofer WKI, we are developing suitable fabric constructions on the basis of natural fibers as well as a process for the gentle integration of the electrically conductive sensor material into the fabric.

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