Pavements are layered systems composed of geo-materials, designed and built to serve as physical transportation infrastructure.
In general terms, pavement research aims for improved forecastability of behavior under service. Achieving this capability requires a multi-effort approach dealing with all problem aspects, e.g., material composition and physical properties, construction methods and procedures, in situ layer properties, characterization of usage and environmental conditions, etc.
The pavement research at DTU builds on the traditional university strengths in the fields of numerical modeling and sensors; it also builds in the local industry strengths in non-destructive pavement testing. Consequently, we focus our research on the following:
(i) Response modeling – wherein the pavement system is treated as a layered half-space, and effort is made to efficiently and accurately compute mechanical responses due to different excitation sources.
(ii) Inverse analysis of properties – wherein optimization techniques are employed, in combination with ultra-efficient response modeling, to identify properties of engineering worth that are difficult to access directly.
(iii) Embedded instrumentation – exploring the futuristic ability of including a large number of sensing elements within the physical infrastructure for usage characterization and health monitoring.
AWAPAVE - This is an inter-departmental project funded by the Innovation Fund and Dynatest dealing with the development of a high-speed pavement evaluation tool based on modern sensing technologies.
Associate Professor Eyal Levenberg
Postdoc Sebastian Andersen - contact person for the AWAPAVE project