parachute modelingporous media flowsfree surface flowsparallel computingHuman EvolutionFinite Element Methoddomain decomposition methodsmulti-phase flowsfluid structure interactioncomputational fluid dynamics
Rodrigo R. Paz is a scientist at LSTC (LS-DYNA) (USA) and former Research Scientist at CONICET (ARG). He received his degree in Aeronautical and Mechanical Engineering from Universidad Nacional de Córdoba, Argentina, in 1999. In 2006, after postgraduate studies in France (Université Pierre et Marie Currie -- Paris VI and Faculté des Sciences of the Université Jean Monnet in Saint Etienne) he received the Ph.D. degree in Engineering Sciences and Computational Mechanics from Universidad Nacional del Litoral, Argentina, where he was a professor for more than 16 years in the postgraduate and undergraduate programs. In that period he also held a tenure as a Research Scientist in the National Council for Scientific Research (CONICET, Argentina). His research interests include computational fluid dynamics, physical aspects in human evolution, domain decomposition methods, parallel computing, finite elements method, weak/strong fluid/structure coupling, absorbing boundary conditions, and multiphase flows. In 2012 he received the Award for Young Scientists (age under 40) from the Argentine Association for Computational Mechanics (AMCA).
Evaluation of the proper coherence representation in random flow generation based methods
Journal of Wind Engineering and Industrial Aerodynamics (2017) 168