Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Giovanni Iacobello"'
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract Time irreversibility is a distinctive feature of non-equilibrium phenomena such as turbulent flows, where irreversibility is mainly associated with an energy cascade process. The connection between time irreversibility and coherent motions i
Externí odkaz:
https://doaj.org/article/6d1f0cdd79d4400385e28818a01e42cf
Publikováno v:
AIAA SCITECH 2022 Forum.
Time irreversibility is a distinctive feature of non-equilibrium phenomena such as turbulent flows, where irreversibility is mainly associated with an energy cascade process. The connection between time irreversibility and coherent motions in wall tu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75eda5ff2c167afab54e45506c44a49c
Publikováno v:
Journal of Fluid Mechanics. 925
Large-scale intermittency is a widely observed phenomenon in convective surface layer turbulence that induces non-Gaussian temperature statistics, while such signature is not observed for velocity signals. Although approaches based on probability den
Autor:
David E. Rival, Giovanni Iacobello
Publikováno v:
14th International Symposium on Particle Image Velocimetry. 1
Coherent structure detection (CSD) is a long-lasting issue in fluid mechanics research as the presence of spatio-temporal coherent motion enables simpler ways to characterize the flow dynamics. Such reducedorder representation, in fact, has significa
Publikováno v:
Journal of Fluid Mechanics, 865, 546-562. Cambridge University Press
A temporal complex network-based approach is proposed as a novel formulation to investigate turbulent mixing from a Lagrangian viewpoint. By exploiting a spatial proximity criterion, the dynamics of a set of fluid particles is geometrized into a time
Publikováno v:
Journal of Fluid Mechanics. 918
Scale interaction is studied in wall-bounded turbulence by focusing on the frequency modulation (FM) mechanism of large scales on small scale velocity fluctuations. Differently from amplitude modulation analysis, frequency modulation has been less in
Publikováno v:
Physics of Fluids. 34:025105
Inspired by biological swimming and flying with distributed sensing, we propose a data-driven approach for load estimation that relies on complex networks. We exploit sparse, real-time pressure inputs, combined with pre-trained transition networks, t
Publikováno v:
Physical Review Fluids
Physical Review Fluids, American Physical Society, 2019, 4 (10), ⟨10.1103/PhysRevFluids.4.104501⟩
Physical Review Fluids, American Physical Society, 2019, 4 (10), ⟨10.1103/PhysRevFluids.4.104501⟩
International audience; The dynamics of a passive scalar plume in a turbulent boundary layer is experimentally investigated via vertical turbulent transport time series. Experimental data are acquired in a rough-wall turbulent boundary layer that dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc096219703b4ec3707f3aae016f92bd
http://arxiv.org/abs/1910.04118
http://arxiv.org/abs/1910.04118
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 563:125476
Turbulent and vortical flows are ubiquitous and their characterization is crucial for the understanding of several natural and industrial processes. Among different techniques to study spatio-temporal flow fields, complex networks represent a recent