Grants and Contributions:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Pavement structures reach performance limits when there are multiple deteriorations caused by repeatedx000D
vehicle loading and environmental effects. Therefore acquiring detailed information about the state of thex000D
pavement structures is an important element in rehabilitation planning of sections showing significant damage.x000D
Non-Destructive-Testing (NDT) Methods have been broadly used for structural health monitoring and low-costx000D
assessment in transportation. Falling Weight Deflectometer (FWD) is one of the most popular NDT techniquesx000D
in characterisation of the mechanical properties of the pavement structure. The FWD test measures the surfacex000D
deflections caused by dropping a known mass from a specific height. The presence of moisture in the pavementx000D
structure can significantly affect the performance of the pavement. Another important issue to the pavementx000D
maintenance is the seasonal factor in cold regions. The mechanical properties of the layers constituting thex000D
multilayered flexible pavement system can be determined by using a back-calculation algorithm based onx000D
acquired surface displacement data. The current practical state-of-the-art of this method is limited to thex000D
quasi-static inversion of the maximum measured deflections. However, this approach does not take advantagex000D
of the additional information contained in the stress wave time histories such as damping, moisture content,x000D
and the effect of porous structure. The accuracy of determining the mechanical properties of the layers wouldx000D
also improve by using a comprehensive dynamic analysis rather than a quasi-static analysis. The objective ofx000D
the proposed research is to develop an algorithm for the material characterization of the pavement structurex000D
through a least square-based inversion technique.x000D
FPrimeC Solutions specializes in the design and development of innovative Non-Destructive Testingx000D
equipment and Structural Health Monitoring Systems for testing materials and structures. FPrimeC is interestedx000D
in developing an innovative algorithm to achieve more accurate and more reliable information using FWD tox000D
evaluate the material properties of the pavement structure.