TY - JOUR
T1 - Numerical modeling and simulation of pulsatile blood flow in rigid vessel using gradient smoothing method
AU - Li, Eric
AU - Liu, G. R.
AU - Xu, George X.
AU - Vincent, Tan
AU - He, Z. C.
PY - 2012/3/1
Y1 - 2012/3/1
N2 - Computer modeling and simulation is an effective tool to investigate, analyze, and understand the homodynamic, mechanical behavior of blood flow. The detailed information on shear stress, pressure drops, recirculation, stagnation, and turbulence can be applied in the medical practice to establish a direct linkage between flow characteristic and disease. In this paper, a novel gradient smoothing method is proposed to simulate the blood flow in the common artery, vessel with stenosis, and abdominal aortic aneurysm. Compared with the standard finite volume method, the gradient smoothing method is originated from the gradient smoothing operation to approximate the spatial derivatives at various locations based on irregular cells regardless its physical background. The dual time stepping scheme and point-implicit five-stage RungeKutta (RK5) method are implemented to enhance the efficiency and stability in iterative solution procedures. The numerical results have demonstrated that the model obtained from gradient smoothing method is more accurate than the standard finite volume method using commercial software of Fluent.
AB - Computer modeling and simulation is an effective tool to investigate, analyze, and understand the homodynamic, mechanical behavior of blood flow. The detailed information on shear stress, pressure drops, recirculation, stagnation, and turbulence can be applied in the medical practice to establish a direct linkage between flow characteristic and disease. In this paper, a novel gradient smoothing method is proposed to simulate the blood flow in the common artery, vessel with stenosis, and abdominal aortic aneurysm. Compared with the standard finite volume method, the gradient smoothing method is originated from the gradient smoothing operation to approximate the spatial derivatives at various locations based on irregular cells regardless its physical background. The dual time stepping scheme and point-implicit five-stage RungeKutta (RK5) method are implemented to enhance the efficiency and stability in iterative solution procedures. The numerical results have demonstrated that the model obtained from gradient smoothing method is more accurate than the standard finite volume method using commercial software of Fluent.
UR - http://www.scopus.com/inward/record.url?scp=80054847073&partnerID=8YFLogxK
U2 - 10.1016/j.enganabound.2011.09.003
DO - 10.1016/j.enganabound.2011.09.003
M3 - Article
AN - SCOPUS:80054847073
SN - 0955-7997
VL - 36
SP - 322
EP - 334
JO - Engineering Analysis with Boundary Elements
JF - Engineering Analysis with Boundary Elements
IS - 3
ER -