Computational Analysis of Flow Structures in Turbulent Ventricular Blood Flow Associated With Mitral Valve Intervention

  title={Computational Analysis of Flow Structures in Turbulent Ventricular Blood Flow Associated With Mitral Valve Intervention},
  author={Joel Kronborg and Frida Svelander and Samuel Eriksson-Lidbrink and Ludvig Lindstr{\"o}m and Carme Homs-Pons and Didier Lucor and Johan Hoffman},
  journal={Frontiers in Physiology},
Cardiac disease and clinical intervention may both lead to an increased risk for thrombosis events due to a modified blood flow in the heart, and thereby a change in the mechanical stimuli of blood cells passing through the chambers of the heart. Specifically, the degree of platelet activation is influenced by the level and type of mechanical stresses in the blood flow. In this article we analyze the blood flow in the left ventricle of the heart through a computational model constructed from… 

Reynolds Stress Anisotropy Tensor Predictions for Turbulent Channel Flow using Neural Networks

This paper employs neural networks to fully predict the Reynolds stress anisotropy tensor of turbulent channel flows at different friction Reynolds numbers, for both interpolation and extrapolation scenarios, and concludes that the augmented TBNN model with both Multi-Layer Perceptron (MLP) and the augmented Tensor Basis Neural Network (TBNN) outperforms the latter and provides excellent interpolation & extrapolation predictions.

A mathematical model that integrates cardiac electrophysiology, mechanics and fluid dynamics: application to the human left heart

We propose a mathematical and numerical model for the simulation of the heart function that couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and includes reduced



Models of Shear-Induced Platelet Activation and Numerical Implementation with Computational Fluid Dynamics Approaches.

The current numerical models used to study the shear-induced platelet activation and their computational applications in the risk assessment of a particular flow pattern and clot formation prediction are summarized.

Vortex identification: New requirements and limitations

Energy stability analysis of turbulent incompressible flow based on the triple decomposition of the velocity gradient tensor

An energy stability analysis of turbulent incompressible flow is performed, which suggests a scenario where at macroscopic scales any exponentially unstable irrotational straining flow structures rapidly evolve towards linearly unstable shear flow and stable rigid body rotational flow.

A new approach to computational turbulence modeling

KTH Royal Institute of Technology

Risk factors for venous and arterial thrombosis.

It is shown that increased generation of the ultimate enzyme involved in coagulation, platelet activation and also cell-signalling is crucial in the of the of on risk.

Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)

  • 1996

Characteristics of small-scale shear layers in a temporally evolving turbulent planar jet

Abstract Characteristics of small-scale shear layers are studied with direct numerical simulations of a temporally evolving turbulent planar jet. The shear layers that internally exist in turbulence