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Unloaded shape identification of human cornea by variational shape optimization
Authors:Tomohiro Otani  Masao Tanaka
Affiliation:1. Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Osaka, Japanotani@me.es.osaka-u.ac.jp;3. Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Osaka, Japan
Abstract:
Abstract

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 μm-scale surface irregularities.
Keywords:cornea  unloaded shape identification  shape optimization  Lagrange multiplier method  finite element method
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