.png){kind=icon}
Return
A meshless multiscale method for simulating hemodynamics
.png){kind=icon}
PRE
AI
DOI：10.1016/j.enganabound.2023.01.032.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Simulating hemodynamic quantities such as pressure and velocity are of great interest to clinicians to aid in surgical planning. To accurately simulate modifications to a region of vasculature, the entire system must be modeled. To facilitate this, a localized Radial-Basis Function (RBF) collocation Meshless flow solver is developed and tightly coupled to a 0D Lumped-Parameter Model (LPM) for solution of the peripheral circulation. The Meshless solver uses localized RBF collocations at data points that are automatically generated according to the geometry. The incompressible flow equations are updated by an explicit time-marching scheme based on a pressure-velocity correction algorithm. The inlets and outlets of the domain are tightly coupled with the LPM which contains elements that draw from a fluid-electrical analogy such as resistors, capacitors, and inductors that represent the viscous resistance, vessel compliance, and flow inertia, respectively. The localized RBF Meshless approach is well-suited for modeling complicated non-Newtonian hemodynamics due to ease of spatial dis-cretization, ease of addition of multi-physics interactions such as fluid-structure interaction of the vessel wall, and ease of parallelization for fast computations. This work introduces the tight coupling of Meshless methods and LPMs for fast and accurate hemodynamic simulations.
Keywords:
Meshless
Hemodynamics
Radial Basis Functions
RBF-FD
Multiscale modeling
Journal
IF:
4.1
Papers:
5.9K
Citations:
9.4K
Organization
Cited Papers
ShareSaveResidual Structure in Islet Amyloid Polypeptide Mediates Its Interactions with Soluble Insulin.png)
Biochemistry
BiochemistryIF0
PREAI
ShareSaveShareSave
ShareSaveShareSave
ShareSave
View more