Design optimization of coronary stent based on finite element models.
This paper presents an effective optimization method using the Kriging surrogate model combing with modified rectangular grid sampling to reduce the stent dogboning effect in the expansion process. An infilling sampling criterion named expected improvement (EI) is used to balance local and global searches in the optimization iteration. Four commonly used finite element models of stent dilation were used to investigate stent dogboning rate. Thrombosis models of three typical shapes are built to test the effectiveness of optimization results. Numerical results show that two finite element models dilated by pressure applied inside the balloon are available, one of which with the artery and plaque can give an optimal stent with better expansion behavior, while the artery and plaque unincluded model is more efficient and takes a smaller amount of computation.
State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China.
Hongxia
H
Li
Tianshuang
T
Qiu
Bao
B
Zhu
Jinying
J
Wu
Xicheng
X
Wang
D015906:Angioplasty, Balloon, Coronary / Q000379:methods*; D006331:Heart Diseases / Q000628:therapy*; D006801:Humans; D008955:Models, Cardiovascular; D015607:Stents; D013927:Thrombosis / Q000628:therapy*