activity
20152023
most citedAlteration of cerebrovascular haemodynamic patterns due to atrial fibrillation: an in silico investigation

29 citations · 142 across the 10 of their papers we have counts for

collaborators

10 papers

physics.flu-dyn2023★ 4 cited

Investigating the magnitude and temporal localization of inertial particle mixing in turbulent channel flows

D. Perrone, J. G. M Kuerten, L. Ridolfi +1

Mixing of inertial point particles in a turbulent channel flow at Reτ = 950 is investigated by means of direct numerical simulations. We consider inertial particles, at varying Sto…

physics.flu-dyn2022★ 1 cited

Visibility analysis of boundary layer transition

Davide Perrone, Luca Ridolfi, Stefania Scarsoglio

We study the transition to turbulence in a flat plate boundary layer by means of visibility analysis of velocity time-series extracted across the flow domain. By taking into accoun…

physics.flu-dyn2022★ 13 cited

Coherent structures at the origin of time irreversibility in wall turbulence

Giovanni Iacobello, Subharthi Chowdhuri, Luca Ridolfi +2

Time irreversibility is a distinctive feature of non-equilibrium phenomena such as turbulent flows, where irreversibility is mainly associated with an energy cascade process. An Eu…

physics.med-ph2021★ 5 cited

A review of multiscale 0D-1D computational modeling of coronary circulation with applications to cardiac arrhythmias

Stefania Scarsoglio, Luca Ridolfi

Computational hemodynamics is becoming an increasingly important tool in clinical applications and surgical procedures involving the cardiovascular system. Aim of this review is to…

physics.flu-dyn2021★ 8 cited

Network analysis of Reynolds number scaling in wall-bounded Lagrangian mixing

Davide Perrone, J. G. M Kuerten, Luca Ridolfi +1

The dispersion and mixing of passive particles in a turbulent channel flow is investigated by means of a network-based representation of their motion. We employ direct numerical si…

physics.flu-dyn2020★ 10 cited

Wall-induced anisotropy effects on turbulent mixing in channel flow: A network-based analysis

Davide Perrone, J. G. M. Kuerten, Luca Ridolfi +1

Turbulent mixing is studied in the Lagrangian framework with an approach based on the complex network formalism. We consider the motion of passive, noninertial particles inside a t…

physics.med-ph2019★ 28 cited

Impaired coronary blood flow at higher heart rates during atrial fibrillation: investigation via multiscale modelling

Stefania Scarsoglio, Caterina Gallo, Andrea Saglietto +2

Background. Different mechanisms have been proposed to relate atrial fibrillation (AF) and coronary flow impairment, even in absence of relevant coronary artery disease (CAD). Howe…

physics.flu-dyn2018★ 23 cited

Spatial characterization of turbulent channel flow via complex networks

Giovanni Iacobello, Stefania Scarsoglio, J. G. M. Kuerten +1

A network-based analysis of a turbulent channel flow numerically solved at is proposed as an innovative perspective for the spatial characterization of the flow field. T…

physics.flu-dyn2017★ 29 cited

Alteration of cerebrovascular haemodynamic patterns due to atrial fibrillation: an in silico investigation

Stefania Scarsoglio, Andrea Saglietto, Matteo Anselmino +2

There has recently been growing evidence that atrial fibrillation (AF), the most common cardiac arrhythmia, is independently associated with the risk of dementia. This represents a…

physics.flu-dyn2015★ 21 cited

Fluid dynamics of heart valves during atrial fibrillation: a lumped parameter-based approach

Stefania Scarsoglio, Carlo Camporeale, Andrea Guala +1

Atrial fibrillation (AF) consequences on the heart valve dynamics are usually studied along with a valvular disfunction or disease, since in medical monitoring the two pathologies…