A Digital Twin Assisted and Embedded Strain Gauge Monitoring System
George Sotiriadis, Αθανάσιος Κοτζακόλιος, Vassilis Kostopoulos, Maria Gemou
Abstract
In this work, a strain monitoring system (strip) for assessing the road pavement distress under vehicle loads was developed. The system consists of the sensing element, the data processing and storage unit, and a graphical user interface with post- processing features. The sensing elements were designed to be adhesively bonded on the pavement and are protected by an encapsulating plastic strip. Strain data are sent to a digital reconstruction (the Digital Twin) of a real-life asset (the pavement model) that is frequently and automatically updated through data sampling. This tool provides functionalities to monitor and optimize assets and make informed and data-based decisions, in the context of day-to-day operative conditions and after extreme events. These data not only include sensor data, but also regularly revalidated structural reliability indices formulated on the grounds of the frequently updated Digital Twin model.