Accelerated simulation methodologies for computational vascular flow modelling
M MacRaild, A Sarrami-Foroushani… - Journal of the …, 2024 - royalsocietypublishing.org
Vascular flow modelling can improve our understanding of vascular pathologies and aid in
developing safe and effective medical devices. Vascular flow models typically involve …
developing safe and effective medical devices. Vascular flow models typically involve …
Review of CFD based simulations to study the hemodynamics of cerebral aneurysms
The human circulatory system facilitates supply of oxygen and nutrients to all the tissues in
the body. This system consists of a net-work of closed-compliant tubes (the aorta, arteries …
the body. This system consists of a net-work of closed-compliant tubes (the aorta, arteries …
[图书][B] Advanced reduced order methods and applications in computational fluid dynamics
Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …
science and engineering, motivated by several reasons, of which we mention just a few …
A POD-Galerkin reduced order model for a LES filtering approach
Abstract We propose a Proper Orthogonal Decomposition (POD)-Galerkin based Reduced
Order Model (ROM) for an implementation of the Leray model that combines a two-step …
Order Model (ROM) for an implementation of the Leray model that combines a two-step …
Data-driven reduced order modelling for patient-specific hemodynamics of coronary artery bypass grafts with physical and geometrical parameters
In this work the development of a machine learning-based Reduced Order Model (ROM) for
the investigation of hemodynamics in a patient-specific configuration of Coronary Artery …
the investigation of hemodynamics in a patient-specific configuration of Coronary Artery …
A comparison of data-driven reduced order models for the simulation of mesoscale atmospheric flow
The simulation of atmospheric flows by means of traditional discretization methods remains
computationally intensive, hindering the achievement of high forecasting accuracy in short …
computationally intensive, hindering the achievement of high forecasting accuracy in short …
A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations
The investigation of fluid-solid systems is very important in a lot of industrial processes. From
a computational point of view, the simulation of such systems is very expensive, especially …
a computational point of view, the simulation of such systems is very expensive, especially …
Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
A simulation tool capable of speeding up the calculation for linear poroelasticity problems in
heterogeneous porous media is of large practical interest for engineers, in particular, to …
heterogeneous porous media is of large practical interest for engineers, in particular, to …
A reduced order model formulation for left atrium flow: an atrial fibrillation case
A data-driven reduced order model (ROM) based on a proper orthogonal decomposition-
radial basis function (POD-RBF) approach is adopted in this paper for the analysis of blood …
radial basis function (POD-RBF) approach is adopted in this paper for the analysis of blood …
Effect of particle aspect ratio in targeted drug delivery in abdominal aortic aneurysm
S Salavatidezfouli, S Barzegar, A Sheidani… - European Journal of …, 2024 - Elsevier
Aneurysm is a permanent irreversible bulge in the artery that can occur with higher
prevalence among elderly individuals. Although invasive surgical procedures can prevent …
prevalence among elderly individuals. Although invasive surgical procedures can prevent …