73 citations · 97 across the 6 of their papers we have counts for
6 papers
Unified scaling laws for turbulent boundary layers across flow regimes
Gonzalo Arranz, Adrian Lozano-Duran
We discover unified scaling laws for the mean wall shear stress and the mean velocity profile in turbulent boundary layers subject to favorable and adverse mean pressure gradients-…
Aerodynamic performance and robustness of a nature-inspired concept for a micro-scale wind turbine
J. M. Catalán, G. Arranz, M. Moriche +3
We present direct numerical simulations of a novel concept for a micro-scale wind turbine, inspired in the mechanics of the auto-rotation of winged seeds. In this nature-inspired c…
Decomposing causality into its synergistic, unique, and redundant components
Álvaro Martínez-Sánchez, Gonzalo Arranz, Adrián Lozano-Durán
Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite its central role, cu…
Building-block flow model for computational fluids
Gonzalo Arranz, Yuenong Ling, Sam Costa +2
We introduce a closure model for wall-modeled large-eddy simulation (WMLES), referred to as the Building-block Flow Model (BFM). The foundation of the model rests on the premise th…
Informative and non-informative decomposition of turbulent flow fields
Gonzalo Arranz, Adrian Lozano-Durán
Not all the information in a turbulent field is relevant for understanding particular regions or variables in the flow. Here, we present a method for decomposing a source field int…
Information-theoretic causality and applications to turbulence: energy cascade and inner/outer layer interactions
Adrián Lozano-Durán, Gonzalo Arranz, Yuenong Ling
We introduce an information-theoretic method for quantifying causality in chaotic systems. The approach, referred to as IT-causality, quantifies causality by measuring the informat…