Scientific objectives

• To develop methods and algorithms that will be able to represent accurately the bridge structures, creating reliable 3D models which can be automatically processed. These automatic processes on the geomatic data that models the structure, which should be based on the development of machine learning models, will be able to detect, characterize and quantify different structural damages, contributing to a multi-scale inspection.


• Establishment of GPR data acquisition protocols for a deeper evaluation of the interior of the structures and development of new algorithms to provide more reliable data interpretation and results. These algorithms will be focused, firstly, on the automatic detection of reflection patterns, or variations in time and frequency domain, produced by inner structural elements or pathologies and, secondly, on the analysis of the GPR signal through simulation and numerical FDTD modelling.


• To implement robust methodologies based on the use of cutting-edge algorithms for the achievement of the following two main goals: calibration of computational models of bridge structures and the determination of their safety level trough reliability-based assessment procedures.