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Ever José Barbero - West Virginia University. USA

Ever José Barbero is professor of mechanical and aerospace engineering at West Virginia University (USA) and has appointments as honorary professor of National Universities of Trujillo (Peru), Carlos III University of Madrid (Spain), and University of Puerto Rico (PR). He is a Fellow of the American Society of Mechanical Engineers (ASME) and a Fellow of the Society for the Advancement of Materials and Process Engineering (SAMPE). His research is internationally recognized, with H-factor = 45 and 9000 citations to 150+ articles, 9 books, 9 chapters in books, and 2 patents. He has directed more than 20 Ph.D. and 40 MSc in civil, mechanical, and aerospace engineering. He is a member of the editorial board of the Annals of Solid and Structural Mechanics, the Journal of Applied and Computational Mechanics and the International Journal of Natural Disasters, Accidents and Civil Infrastructure.



The project tries to investigate the validity of the techniques of "Machine Learning" in subjects of the Mechanics of Solids. These techniques are applied in other areas, and therefore it is of interest to know if it is possible to use them in Structural Mechanics.

The use of these techniques can be very useful in the field of predictive maintenance of structures (SHM) in numerous applications to civil, automotive, and aerospace engineering. Structural monitoring would allow detecting critical situations before they occur.

Specifically, the project aims to estimate the collapse load of slender structures, made of composite material, from remote inspection of displacements for a load level much lower than that required for collapse. At that load level, we try to ensure that the displacement that is possible to measure with available modern techniques allows us to detect the effects of damage and imperfections without measuring them or knowing them explicitly, still predicting the collapse load with precision. Such techniques may also be able to identify damage based on the structural response under service load.