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Unloaded shape identification of human cornea by variational shape optimization

机译:基于变型优化的人角膜空载形状识别

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The present study proposes a computational method to identify the unloaded corneal shape based on the prescribed surface profile of the cornea acquired from in vivo measurements. Variational shape optimization of the unloaded corneal shape was formulated to satisfy that the corneal shape at the mechanical equilibrium state in the physiological situation corresponded to the prescribed surface profile. The shape variation was calculated using the Lagrange multiplier method with a finite element solution. Numerical solution showed that the optimized corneal shape was in excellent agreement with the prescribed surface profile of the cornea without mu m-scale surface irregularities.
机译:本研究提出了一种计算方法,该方法可根据从体内测量获得的角膜的指定表面轮廓来识别未加载的角膜形状。制定了卸荷角膜形状的变体形状优化方案,以满足在生理状况下机械平衡状态下的角膜形状与规定的表面轮廓相对应的要求。使用拉格朗日乘数法和有限元解计算形状变化。数值解表明,优化的角膜形状与规定的角膜表面轮廓非常吻合,没有微米级的表面不规则性。

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