Bio-prosthetic heart valves (BHVs), with glutaraldehyde-treated bovine pericardium (GLBP) leaflets, have been used extensively to replace diseased heart valves. BHVs display superior hemodynamics to mechanical valves; however, their use is limited due to poor durability resulting from in vivo degradation and fatigue damage of the leaflets. Yet, little is known about the fatigue properties of GLBP tissue. Sun et al. [1] has previously studied the effects of fatigue on GLBP tissue specimens which were cyclically stretched up to 65×106 cycles. The fatigued GLBP specimens exhibited altered material properties and geometry (permanent set). Because fatigue experiments are very time-consuming and costly, there is a need to develop predictive models to accurately capture tissue fatigue experimental data. Furthermore, it is desirable that such tissue fatigue models could be incorporated into computational simulations to investigate the effects of complicated loading conditions, such as in BHV applications, on device durability.

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