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Finite Element Analysis for Hemodynamic Behavior of Bioprosthetic Heart Valves |
Chen LIU1, Lijian YANG1( ), Xing ZHANG2 |
1 Shenyang University of Technology, Shenyang 110870, China 2 Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China |
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Cite this article:
Chen LIU, Lijian YANG, Xing ZHANG. Finite Element Analysis for Hemodynamic Behavior of Bioprosthetic Heart Valves. Chinese Journal of Materials Research, 2018, 32(1): 51-57.
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Abstract The hemodynamic property in physiological saline solution of bioprosthetic heart valve was measured under the physiological considition using a pulse duplicator, accordingly, based on the above measured data, the stress and strain distribution on heart valve leaflets was analized by means of finite element analysis (FEA) at the microscopic level over a cardiac cycle, so that to assess the relationships between the structure and mechanical properties of the bioprosthetic heart valve. The measured parameters of the bioprosthetic heart valve (Edwards #2625) are as follows: the mean transvalvular pressure ~10.8 mmHg, the effective opening area ~2.0 cm2 and the regurgitant fraction ~8.4%, which all meet the requirements of the ISO-5840 standard; The FE simulation results show that the maximum principal stresse was 425 kPa during the systolic phase, the major stress concentration was found on the belly and the suture edge of the leaflet, which underwent severe bending deformation. The maximum principal stresse was 1.46 MPa during the diastolic phase, and the major stress concentration was found on the two sides of the suture of the leaflet; The valvular open areas at different time points were close to those measured during experimental tests, indicating the relibility of the FEA method. Thus, the combination of the simulation test and and the finite element simulation calculation may be considered as an efficient and relible stratigy to evaluate the relationships between the structure and mechanical properties of bioprosthetic heat valve.
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Received: 31 January 2017
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Fund: Supported by National Natural Science Foundation of China (No. 31300788) |
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