Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior

Magalhães, Ricardo; Elsheikh, Ahmed; Büchler, Philippe; Whitford, C.; Wang, J. (2017). Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior. Acta scientiarum - Technology, 39(3), pp. 325-331. Universidade Estadual de Maringá 10.4025/actascitechnol.v39i3.29884

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© 2017, Eduem - Editora da Universidade Estadual de Maringa. All rights reserved. Particle Swarm Optimization (PSO) was foregrounded by finite element (FE) modeling to predict the material properties of the human cornea through inverse analysis. Experimental displacements have been obtained for corneas of a donor approximately 50 years old, and loaded by intraocular pressure (IOP). FE inverse analysis based on PSO determined the material parameters of the corneas with reference to first-order, Ogden hyperelastic model. FE analysis was repeated while using the commonly-used commercial optimization software HEEDS, and the rates of the same material parameters were used to validate PSO outcome. In addition, the number of optimization iterations required for PSO and HEEDS were compared to assess the speed of conversion onto a global-optimum solution. Since PSO-based analyses produced similar results with little iteration to HEEDS inverse analyses, PSO capacity in controlling the inverse analysis process to determine the cornea material properties via finite element modeling was demonstrated.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

UniBE Contributor:

Büchler, Philippe


500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health




Universidade Estadual de Maringá




Philippe Büchler

Date Deposited:

25 Oct 2017 14:18

Last Modified:

30 Oct 2017 17:12

Publisher DOI:


Uncontrolled Keywords:

Finite element method, Human corneas, Hyperelastic parameters, Inverse analysis, Swarm intelligence




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