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.

Current projects

  • AwaPave - This is an inter-departmental project funded by the Innovation Fund and Dynatest A/S. It deals with the development of a high-speed pavement evaluation tool based on modern sensing technologies. See more here
  • Road2Rails - This is a multi-participant project that deals with the feasibility of constructing ballastless railway infrastructure based on asphalt concrete. The contributing members are: Teknologisk Institut, Innovation Fund, Banedanmark, Atkins Danmark A/S, Arkil A/S. See more here
  • Monitoring Seabed Subsidence - This is a 2017 Radical Innovation Spring project funded by The Danish Hydrocarbon Research and Technology Centre. An analytic technique for modeling pavement deformations due to deep sources is applied here; the aim is to investigate the potential of fiber optic sensing technology, deployed on the seafloor around an offshore platform, in monitoring deformations during production. 

Research Team
Eyal Levenberg
Asmus Skar (AwaPave)
Tulika Bose (Roads2Rails)
Ivanka Orozova-Bekkevold (Monitoring seabed subsidence)


Eyal Levenberg
Associate Professor
DTU Civil Engineering
+45 45 25 19 07


Asmus Skar
DTU Civil Engineering
+45 60 48 39 46